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ORCIDJiancheng Lv 0001
Jian Cheng Lv 0001
Person information
- affiliation: Sichuan University, College of Computer Science, Chengdu, China
- affiliation (former): University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
Other persons with the same name
- Jiancheng Lv — disambiguation page
- Jiancheng Lv 0002 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
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2020 – today
- 2025
[j127]Rong Xiao, Zhiyuan Hu, Jie Zhang, Chenwei Tang, Jiancheng Lv:
Multi-attribute dynamic attenuation learning improved spiking actor network. Neurocomputing 614: 128819 (2025)- 2024
- [j126]Chenwei Tang
, Jialiang Huang, Mao Xu, Xu Liu, Fan Yang, Wentao Feng, Zhenan He, Jiancheng Lv:
Attention-based early warning framework for abnormal operating conditions in fluid catalytic cracking units. Appl. Soft Comput. 153: 111275 (2024) - [j125]Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng:
Learning with Noisy Correspondence. Int. J. Comput. Vis. 132(9): 3656-3677 (2024) - [j124]Xinyu Liu, Tao Wang, Jiaming Yang, Chenwei Tang, Jiancheng Lv:
MPQ-YOLO: Ultra low mixed-precision quantization of YOLO for edge devices deployment. Neurocomputing 574: 127210 (2024) - [j123]Yuhao Zhou, Minjia Shi, Yuxin Tian, Qing Ye, Jiancheng Lv:
DeFTA: A plug-and-play peer-to-peer decentralized federated learning framework. Inf. Sci. 670: 120582 (2024) - [j122]Jindi Lv, Yanan Sun, Qing Ye, Wentao Feng, Jiancheng Lv:
A multiscale neural architecture search framework for multimodal fusion. Inf. Sci. 679: 121005 (2024) - [j121]Yi Gao, Wentao Feng, Rong Xiao, Lihuo He, Zhenan He, Jiancheng Lv, Chenwei Tang:
Improving generalized zero-shot learning via cluster-based semantic disentangling representation. Pattern Recognit. 150: 110320 (2024) - [j120]Shichang Li, Hongjie Wu, Chenwei Tang, Dongdong Chen, Yueyue Chen, Ling Mei, Fan Yang, Jiancheng Lv:
Self-supervised Domain Adaptation with Significance-Oriented Masking for Pelvic Organ Prolapse detection. Pattern Recognit. Lett. 185: 94-100 (2024) - [j119]Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng:
Cross-Modal Retrieval With Noisy Correspondence via Consistency Refining and Mining. IEEE Trans. Image Process. 33: 2587-2598 (2024) - [j118]Liming Xu, Quan Tang, Bochuan Zheng, Jiancheng Lv, Weisheng Li, Xianhua Zeng:
CGFTrans: Cross-Modal Global Feature Fusion Transformer for Medical Report Generation. IEEE J. Biomed. Health Informatics 28(9): 5600-5612 (2024) - [j117]Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv:
Neural Networks Learn Specified Information for Imbalanced Data Classification. IEEE Trans. Knowl. Data Eng. 36(11): 6719-6730 (2024) - [j116]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4206-4219 (2024) - [j115]Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv:
Neural Network With a Preference Sampling Paradigm for Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9252-9266 (2024) - [j114]Jian Wang, Xue Yang, Yuxin Tian, Jizhe Zhou, Jiancheng Lv:
Shunting at Arbitrary Feature Levels via Spatial Disentanglement: Toward Selective Image Translation. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14945-14958 (2024) - [j113]Yuxin Tian, Yijie Lin, Qing Ye, Jian Wang, Xi Peng, Jiancheng Lv:
UNITE: Multitask Learning With Sufficient Feature for Dense Prediction. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 5012-5024 (2024) - [c115]Zhengqing Zang, Chenyu Lin, Chenwei Tang, Tao Wang, Jiancheng Lv:
Zero-Shot Aerial Object Detection with Visual Description Regularization. AAAI 2024: 6926-6934 - [c114]Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv:
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. AAAI 2024: 15258-15266 - [c113]Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv:
Towards Equipping Transformer with the Ability of Systematic Compositionality. AAAI 2024: 18289-18297 - [c112]Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv:
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation. ACL (1) 2024: 10660-10675 - [c111]Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo:
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. LREC/COLING 2024: 9810-9821 - [c110]Xinyu Liu, Wenqiang Zhou, Zhendong Yu, Jiaming Yang, Tao Wang, Chenwei Tang, Jiancheng Lv:
BOB-YOLO: Balancing Optimization Binarized YOLO via Module-Wise Latency. ECAI 2024: 210-217 - [c109]Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan:
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. EMNLP (Findings) 2024: 301-320 - [c108]Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv:
Federated CINN Clustering for Accurate Clustered Federated Learning. ICASSP 2024: 5590-5594 - [c107]Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv:
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. ICME 2024: 1-6 - [c106]Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng:
Image Clustering with External Guidance. ICML 2024 - [c105]Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv:
Multi-View Clustering by Inter-cluster Connectivity Guided Reward. ICML 2024 - [c104]Jian Wang, Xin Lan, Yuxin Tian, Jiancheng Lv:
MS3D: A RG Flow-Based Regularization for GAN Training with Limited Data. ICML 2024 - [c103]Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv:
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. IJCAI 2024: 3751-3759 - [c102]Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv:
Robust Contrastive Multi-view Kernel Clustering. IJCAI 2024: 4938-4945 - [c101]Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Jizhe Zhou, Hu Chen, Jiancheng Lv:
Diffusion Posterior Proximal Sampling for Image Restoration. ACM Multimedia 2024: 214-223 - [c100]Shudong Huang, Hecheng Cai, Hao Dai, Wentao Feng, Jiancheng Lv:
Adaptive Instance-wise Multi-view Clustering. ACM Multimedia 2024: 5299-5307 - [c99]Chaoqun Niu, Dongdong Chen, Jizhe Zhou, Jian Wang, Xiang Luo, Quan-Hui Liu, Yuan Li, Jiancheng Lv:
Neural Boneprint: Person Identification from Bones Using Generative Contrastive Deep Learning. ACM Multimedia 2024: 7609-7618 - [c98]Yehong Pan, Jian Wang, Guihong Liu, Qiushuo Wu, Yazi Zheng, Xin Lan, Weibo Liang, Jiancheng Lv, Yuan Li:
From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction. MMM (1) 2024: 314-326 - [c97]Letian Wang, Xianggen Liu, Jiancheng Lv:
Create! Don't Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. NAACL-HLT 2024: 855-869 - [c96]Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv:
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. WWW 2024: 803-814 - [i70]Youcheng Huang, Wenqiang Lei, Zheng Zhang, Jiancheng Lv, Shuicheng Yan:
See the Unseen: Better Context-Consistent Knowledge-Editing by Noises. CoRR abs/2401.07544 (2024) - [i69]Chen Huang, Duanyu Feng, Wenqiang Lei, Jiancheng Lv:
DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval Model. CoRR abs/2401.12540 (2024) - [i68]Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv:
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. CoRR abs/2401.14876 (2024) - [i67]Hongjie Wu, Linchao He, Mingqin Zhang, Dongdong Chen, Kunming Luo, Mengting Luo, Jizhe Zhou, Hu Chen, Jiancheng Lv:
Diffusion Posterior Proximal Sampling for Image Restoration. CoRR abs/2402.16907 (2024) - [i66]Zhengqing Zang, Chenyu Lin, Chenwei Tang, Tao Wang, Jiancheng Lv:
Zero-Shot Aerial Object Detection with Visual Description Regularization. CoRR abs/2402.18233 (2024) - [i65]Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv:
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model. CoRR abs/2403.08433 (2024) - [i64]Chengzhe Feng, Yanan Sun, Ke Li, Pan Zhou, Jiancheng Lv, Aojun Lu:
Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models. CoRR abs/2403.13588 (2024) - [i63]Chen Huang, Peixin Qin, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors. CoRR abs/2404.03304 (2024) - [i62]Xianggen Liu, Yan Guo, Haoran Li, Jin Liu, Shudong Huang, Bowen Ke, Jiancheng Lv:
DrugLLM: Open Large Language Model for Few-shot Molecule Generation. CoRR abs/2405.06690 (2024) - [i61]Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching. CoRR abs/2405.10248 (2024) - [i60]Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv:
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation. CoRR abs/2405.11912 (2024) - [i59]Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan:
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. CoRR abs/2405.12081 (2024) - [i58]Youcheng Huang, Jingkun Tang, Duanyu Feng, Zheng Zhang, Wenqiang Lei, Jiancheng Lv, Anthony G. Cohn:
Dishonesty in Helpful and Harmless Alignment. CoRR abs/2406.01931 (2024) - [i57]Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou:
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization. CoRR abs/2406.10580 (2024) - [i56]Jian Wang, Xin Lan, Yuxin Tian, Jiancheng Lv:
MS3D: A RG Flow-Based Regularization for GAN Training with Limited Data. CoRR abs/2408.11135 (2024) - 2023
- [j112]Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv:
Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network. Big Data Min. Anal. 6(1): 106-114 (2023) - [j111]Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv:
Artificial Intelligence Methods Applied to Catalytic Cracking Processes. Big Data Min. Anal. 6(3): 361-380 (2023) - [j110]Xin Fei, Xiaojie Li, Canghong Shi, Hongping Ren, Imran Mumtaz, Jun Guo, Yu Wu, Yong Luo, Jiancheng Lv, Xi Wu:
Dual-feature Fusion Attention Network for Small Object Segmentation. Comput. Biol. Medicine 160: 106985 (2023) - [j109]Caiyang Yu, Yixi Wang, Chenwei Tang, Wentao Feng, Jiancheng Lv:
EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation. Comput. Biol. Medicine 167: 107579 (2023) - [j108]Liming Xu, Quan Tang, Jiancheng Lv, Bochuan Zheng, Xianhua Zeng, Weisheng Li:
Deep image captioning: A review of methods, trends and future challenges. Neurocomputing 546: 126287 (2023) - [j107]Shudong Huang, Yixi Liu, Hecheng Cai, Yuze Tan, Chenwei Tang, Jiancheng Lv:
Smooth representation learning from multi-view data. Inf. Fusion 100: 101916 (2023) - [j106]Adam A. Q. Mohammed, Jiancheng Lv, Md. Sajjatul Islam, Yongsheng Sang:
Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition. J. Ambient Intell. Humaniz. Comput. 14(6): 6829-6842 (2023) - [j105]Md. Sajjatul Islam, Yongsheng Sang, Adam A. Q. Mohammed, Lei Yuan, Jiancheng Lv:
Highly effective end-to-end single-to-multichannel feature fusion and ensemble classification to decode emotional secretes from small-scale spontaneous facial micro-expressions. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101653 (2023) - [j104]Pengsen Liu, Jizhe Zhou, Jiancheng Lv:
Exploring the first-move balance point of Go-Moku based on reinforcement learning and Monte Carlo tree search. Knowl. Based Syst. 261: 110207 (2023) - [j103]Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv:
Neural network with absent minority class samples and boundary shifting for imbalanced data classification. Neural Comput. Appl. 35(12): 8937-8953 (2023) - [j102]Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng:
Robust Multi-View Clustering With Incomplete Information. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1055-1069 (2023) - [j101]Yijie Lin, Yuanbiao Gou, Xiaotian Liu, Jinfeng Bai, Jiancheng Lv, Xi Peng:
Dual Contrastive Prediction for Incomplete Multi-View Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4447-4461 (2023) - [j100]Kun Zhang, Zhichu Xia, Shudong Huang, Gui-Quan Sun, Jiancheng Lv, Marco Ajelli, Keisuke Ejima, Quan-Hui Liu:
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies. PLoS Comput. Biol. 19(9) (2023) - [j99]Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv:
Pure graph-guided multi-view subspace clustering. Pattern Recognit. 136: 109187 (2023) - [j98]Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1217-1227 (2023) - [j97]Jianming Chen, Guangjin Wang, Jiancheng Lv, Zhenan He, Taibo Yang, Chenwei Tang:
Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. IEEE Trans. Ind. Informatics 19(3): 2574-2584 (2023) - [j96]Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Spark Rough Hypercuboid Approach for Scalable Feature Selection. IEEE Trans. Knowl. Data Eng. 35(3): 3130-3144 (2023) - [j95]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7082-7087 (2023) - [j94]Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. IEEE Trans. Knowl. Data Eng. 35(8): 8270-8281 (2023) - [j93]Yang Zhang, Xian Zhang, Canghong Shi, Xi Wu, Xiaojie Li, Jing Peng, Kunlin Cao, Jiancheng Lv, Jiliu Zhou:
Pluralistic Face Inpainting With Transformation of Attribute Information. IEEE Trans. Multim. 25: 7967-7979 (2023) - [j92]Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10889-10903 (2023) - [j91]Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection. IEEE Trans. Parallel Distributed Syst. 34(6): 1830-1847 (2023) - [c95]Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang:
Metric Multi-View Graph Clustering. AAAI 2023: 9962-9970 - [c94]Lin Yu, Chenwei Tang, Caiyu Yang, Jiancheng Lv:
Graph-level Anomaly Detection via Deep Metric Learning. ACAI 2023: 88-96 - [c93]Hongru Liang, Jia Liu, Weihong Du, Dingnan Jin, Wenqiang Lei, Zujie Wen, Jiancheng Lv:
Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals. ACL (Findings) 2023: 10550-10564 - [c92]Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv:
GWQ: Group-Wise Quantization Framework for Neural Networks. ACML 2023: 1526-1541 - [c91]Haiyu Zhao, Yuanbiao Gou, Boyun Li, Dezhong Peng, Jiancheng Lv, Xi Peng:
Comprehensive and Delicate: An Efficient Transformer for Image Restoration. CVPR 2023: 14122-14132 - [c90]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Hongyuan Zhu, Xi Peng:
Rethinking Image Super Resolution from Long-Tailed Distribution Learning Perspective. CVPR 2023: 14327-14336 - [c89]Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv:
Sample-level Multi-view Graph Clustering. CVPR 2023: 23966-23975 - [c88]Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng:
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric. CVPR 2023: 23986-23995 - [c87]Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Xingzhang Ren, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv:
Dynamic Voting for Efficient Reasoning in Large Language Models. EMNLP (Findings) 2023: 3085-3104 - [c86]Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv:
Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach. EMNLP 2023: 10876-10891 - [c85]Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo:
Noisy Pair Corrector for Dense Retrieval. EMNLP (Findings) 2023: 11439-11451 - [c84]Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv:
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. EMNLP 2023: 13805-13822 - [c83]Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv:
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. ICCV 2023: 5008-5017 - [c82]Dan Si, Qing Ye, Jindi Lv, Yuhao Zhou, Jiancheng Lv:
Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search. ICONIP (14) 2023: 205-216 - [c81]Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv:
Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. ICONIP (8) 2023: 449-464 - [c80]Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv:
Lifelong Multi-view Spectral Clustering. IJCAI 2023: 3488-3496 - [c79]Jian Lan, Mingfeng Xue, Jiancheng Lv:
RulePG: Syntactic Rule-enhanced Paraphrase Generation. IJCNN 2023: 1-8 - [c78]Wen Yang, Hongjie Wu, Chenwei Tang, Jiancheng Lv:
ST-CA YOLOv5: Improved YOLOv5 Based on Swin Transformer and Coordinate Attention for Surface Defect Detection. IJCNN 2023: 1-8 - [c77]Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv:
Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. ACM Multimedia 2023: 3619-3627 - [c76]Chaoqun Niu, Yuan Li, Jian Wang, Jizhe Zhou, Tu Xiong, Dong Yu, Huili Guo, Lin Zhang, Weibo Liang, Jiancheng Lv:
Multi-view Adaptive Bone Activation from Chest X-Ray with Conditional Adversarial Nets. MMM (2) 2023: 399-410 - [c75]Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv:
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 - [c74]Qian Qu, Jian Wang, Kexin Yang, Hang Zhang, Jiancheng Lv:
Fantastic Gradients and Where to Find Them: Improving Multi-attribute Text Style Transfer by Quadratic Program. NLPCC (3) 2023: 3-14 - [i55]Yuhao Zhou, Mingjia Shi, Qing Ye, Yanan Sun, Jiancheng Lv:
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. CoRR abs/2302.13562 (2023) - [i54]Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv:
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR abs/2304.08915 (2023) - [i53]Liming Xu, Hanqi Li, Bochuan Zheng, Weisheng Li, Jiancheng Lv:
Deep Lifelong Cross-modal Hashing. CoRR abs/2304.13357 (2023) - [i52]Caiyang Yu, Xianggen Liu, Wentao Feng, Chenwei Tang, Jiancheng Lv:
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model. CoRR abs/2305.05351 (2023) - [i51]Hongru Liang, Jia Liu, Weihong Du, Dingnan Jin, Wenqiang Lei, Zujie Wen, Jiancheng Lv:
Knowing-how & Knowing-that: A New Task for Machine Reading Comprehension of User Manuals. CoRR abs/2306.04187 (2023) - [i50]Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv:
Federated cINN Clustering for Accurate Clustered Federated Learning. CoRR abs/2309.01515 (2023) - [i49]Junzhe Xu, Suling Duan, Chenwei Tang, Zhenan He, Jiancheng Lv:
Attribute Localization and Revision Network for Zero-Shot Learning. CoRR abs/2310.07548 (2023) - [i48]Chenyu Lin, Yusheng He, Zhengqing Zang, Chenwei Tang, Tao Wang, Jiancheng Lv:
VCL Challenges 2023 at ICCV 2023 Technical Report: Bi-level Adaptation Method for Test-time Adaptive Object Detection. CoRR abs/2310.08986 (2023) - [i47]Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Jianping Fan, Xi Peng:
Image Clustering with External Guidance. CoRR abs/2310.11989 (2023) - [i46]Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo:
Noisy Pair Corrector for Dense Retrieval. CoRR abs/2311.03798 (2023) - [i45]Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv:
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation. CoRR abs/2311.04247 (2023) - [i44]Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv:
Towards Equipping Transformer with the Ability of Systematic Compositionality. CoRR abs/2312.07280 (2023) - 2022
- [j90]Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiulin Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv:
Deep learning in nuclear industry: A survey. Big Data Min. Anal. 5(2): 140-160 (2022) - [j89]Yongpeng Ren, Hongping Ren, Canghong Shi, Xian Zhang, Xi Wu, Xiaojie Li, Jiancheng Lv, Jiliu Zhou, Imran Mumtaz:
Multistage semantic-aware image inpainting with stacked generator networks. Int. J. Intell. Syst. 37(2): 1599-1617 (2022) - [j88]Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv:
A neural network learning algorithm for highly imbalanced data classification. Inf. Sci. 612: 496-513 (2022) - [j87]Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou:
XAI Beyond Classification: Interpretable Neural Clustering. J. Mach. Learn. Res. 23: 6:1-6:28 (2022) - [j86]Chuan Luo, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Fusing entropy measures for dynamic feature selection in incomplete approximation spaces. Knowl. Based Syst. 252: 109329 (2022) - [j85]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multiple partitions alignment via spectral rotation. Mach. Learn. 111(3): 1049-1072 (2022) - [j84]Yidan Zhang, Guangjin Wang, Taibo Yang, Tianfeng Pang, Zhenan He, Jiancheng Lv:
Compression of deep neural networks: bridging the gap between conventional-based pruning and evolutionary approach. Neural Comput. Appl. 34(19): 16493-16514 (2022) - [j83]Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv:
Prediction, selection, and generation: a knowledge-driven conversation system. Neural Comput. Appl. 34(22): 20431-20446 (2022) - [j82]Yuan Li, Jian Wang, Weibo Liang, Hui Xue, Zhenan He, Jiancheng Lv, Lin Zhang:
CR-GAN: Automatic craniofacial reconstruction for personal identification. Pattern Recognit. 124: 108400 (2022) - [j81]Xian Zhang, Xin Wang, Canghong Shi, Zhe Yan, Xiaojie Li, Bin Kong, Siwei Lyu, Bin Zhu, Jiancheng Lv, Youbing Yin, Qi Song, Xi Wu, Imran Mumtaz:
DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting. Pattern Recognit. 124: 108415 (2022) - [j80]Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv:
Efficient federated multi-view learning. Pattern Recognit. 131: 108817 (2022) - [j79]Qian Qu, Jiancheng Lv, Dayiheng Liu, Kexin Yang:
CoupGAN: Chinese couplet generation via encoder-decoder model and adversarial training under global control. Soft Comput. 26(15): 7423-7433 (2022) - [j78]Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv:
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. IEEE Trans. Artif. Intell. 3(4): 526-540 (2022) - [j77]Boyun Li, Yijie Lin, Jinfeng Bai, Peng Hu, Jiancheng Lv, Xi Peng:
Unsupervised Neural Rendering for Image Hazing. IEEE Trans. Image Process. 31: 3987-3996 (2022) - [j76]Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv:
FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78(10): 12410-12433 (2022) - [j75]Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv:
Correction to: FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78(10): 12434 (2022) - [j74]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 34(12): 5869-5883 (2022) - [j73]Chenwei Tang, Zhenan He, Yunxia Li, Jiancheng Lv:
Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6749-6762 (2022) - [j72]Yuhao Zhou, Qing Ye, Jiancheng Lv:
Communication-Efficient Federated Learning With Compensated Overlap-FedAvg. IEEE Trans. Parallel Distributed Syst. 33(1): 192-205 (2022) - [j71]Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv:
An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 415-425 (2022) - [c73]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
Multi-View Clustering on Topological Manifold. AAAI 2022: 6944-6951 - [c72]Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng:
Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification. CVPR 2022: 14288-14297 - [c71]Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng:
All-In-One Image Restoration for Unknown Corruption. CVPR 2022: 17431-17441 - [c70]Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv:
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition. EMNLP (Findings) 2022: 1793-1807 - [c69]Yanqing Hu, Qing Ye, Zhongyu Zhang, Jiancheng Lv:
A Layer-Based Sparsification Method For Distributed DNN Training. HPCC/DSS/SmartCity/DependSys 2022: 1342-1349 - [c68]Yanqing Hu, Qing Ye, Huan Fu, Jiancheng Lv:
Sparse DARTS with Various Recovery Algorithms. ICCAI 2022: 76-82 - [c67]Md. Sajjatul Islam, Weiqiang Jiang, Jiancheng Lv, Adam A. Q. Mohammed, Yongsheng Sang:
Effective DemeapexNet: Revealing Spontaneous Facial Micro-Expressions. ICCDA 2022: 81-90 - [c66]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for Dense Text Retrieval. ICLR 2022 - [c65]Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou:
Abstract Rule Learning for Paraphrase Generation. IJCAI 2022: 4273-4279 - [c64]Jian Lan, Runfeng Shi, Ye Cao, Jiancheng Lv:
Knowledge Graph-based Conversational Recommender System in Travel. IJCNN 2022: 1-8 - [c63]Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia 2022: 3421-3429 - [c62]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Joey Tianyi Zhou, Xi Peng:
Multi-Scale Adaptive Network for Single Image Denoising. NeurIPS 2022 - [c61]Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv:
Multi-view Subspace Clustering on Topological Manifold. NeurIPS 2022 - [c60]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. SIGIR 2022: 212-222 - [i43]Yi Gao, Chenwei Tang, Jiancheng Lv:
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning. CoRR abs/2203.02648 (2022) - [i42]Yuanbiao Gou, Peng Hu, Jiancheng Lv, Xi Peng:
Multi-Scale Adaptive Network for Single Image Denoising. CoRR abs/2203.04313 (2022) - [i41]Yuhao Zhou, Minjia Shi, Yuxin Tian, Qing Ye, Jiancheng Lv:
DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg. CoRR abs/2204.02632 (2022) - [i40]Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. CoRR abs/2204.07433 (2022) - [i39]Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Qian Qu, Jiancheng Lv:
Draft, Command, and Edit: Controllable Text Editing in E-Commerce. CoRR abs/2208.05623 (2022) - [i38]Pengxin Zeng, Yunfan Li, Peng Hu, Dezhong Peng, Jiancheng Lv, Xi Peng:
Deep Fair Clustering via Maximizing and Minimizing Mutual Information. CoRR abs/2209.12396 (2022) - [i37]Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv:
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition. CoRR abs/2211.03270 (2022) - [i36]Shudong Huang, Wentao Feng, Chenwei Tang, Jiancheng Lv:
Partial Differential Equations Meet Deep Neural Networks: A Survey. CoRR abs/2211.05567 (2022) - [i35]Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv:
Personalized Federated Learning with Hidden Information on Personalized Prior. CoRR abs/2211.10684 (2022) - [i34]Yuwei Ou, Xiangning Xie, Shangce Gao, Yanan Sun, Kay Chen Tan, Jiancheng Lv:
Differentiable Search of Accurate and Robust Architectures. CoRR abs/2212.14049 (2022) - 2021
- [j70]Lei Xia, Jiancheng Lv, Chunzhi Xie, Jing Yin:
A conditional classification recurrent RBM for improved series mid-term forecasting. Appl. Intell. 51(11): 8334-8348 (2021) - [j69]Xian Zhang, Canghong Shi, Xin Wang, Xi Wu, Xiaojie Li, Jiancheng Lv, Imran Mumtaz:
Face inpainting based on GAN by facial prediction and fusion as guidance information. Appl. Soft Comput. 111: 107626 (2021) - [j68]Feifei Fu, Jiancheng Lv, Chenwei Tang, Mao Li:
Multi-style Chinese art painting generation of flowers. IET Image Process. 15(3): 746-762 (2021) - [j67]Yong Wang, Chenwei Tang, Jian Wang, Yongsheng Sang, Jiancheng Lv:
Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning. Knowl. Based Syst. 231: 107442 (2021) - [j66]Kexin Yang, Dayiheng Liu, Qian Qu, Yongsheng Sang, Jiancheng Lv:
An automatic evaluation metric for Ancient-Modern Chinese translation. Neural Comput. Appl. 33(8): 3855-3867 (2021) - [j65]Mao Li, Jiancheng Lv, Chenwei Tang, Jian Wang, Zhichen Lai, Youcheng Huang:
Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings. Neural Networks 144: 443-454 (2021) - [j64]Bijue Jia, Jiancheng Lv, Xi Peng, Yao Chen, Shenglan Yang:
Hierarchical Regulated Iterative Network for Joint Task of Music Detection and Music Relative Loudness Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1-13 (2021) - [j63]Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng:
Deep Spectral Representation Learning From Multi-View Data. IEEE Trans. Image Process. 30: 5352-5362 (2021) - [j62]Qing Ye, Yanan Sun, Jixin Zhang, Jiancheng Lv:
A Distributed Framework for EA-Based NAS. IEEE Trans. Parallel Distributed Syst. 32(7): 1753-1764 (2021) - [c59]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c58]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. ACL/IJCNLP (1) 2021: 3277-3287 - [c57]Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi, Jiancheng Lv:
POS-Constrained Parallel Decoding for Non-autoregressive Generation. ACL/IJCNLP (1) 2021: 5990-6000 - [c56]Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng:
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. CVPR 2021: 11174-11183 - [c55]Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv:
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. EDM 2021 - [c54]Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. ICML 2021: 12437-12446 - [c53]Yi Gao, Chenwei Tang, Jiulin Lang, Jiancheng Lv:
End-to-End Edge Detection via Improved Transformer Model. ICONIP (4) 2021: 514-525 - [c52]Jiulin Lang, Chenwei Tang, Yi Gao, Jiancheng Lv:
Knowledge Distillation Method for Surface Defect Detection. ICONIP (4) 2021: 644-655 - [c51]Adam A. Q. Mohammed, Yuan Gao, Zhilong Ji, Jiancheng Lv, Md. Sajjatul Islam, Yongsheng Sang:
Automatic 3D Skeleton-based Dynamic Hand Gesture Recognition Using Multi-Layer Convolutional LSTM. ICRAI 2021: 8-14 - [c50]Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv:
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. IJCNN 2021: 1-8 - [c49]Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv:
AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation. IJCNN 2021: 1-8 - [c48]Hongjie Wu, Jiancheng Lv, Jian Wang:
Automatic Cataract Detection with Multi-Task Learning. IJCNN 2021: 1-8 - [c47]Md. Sajjatul Islam, Yuan Gao, Zhilong Ji, Jiancheng Lv, Adam Ahmed Qaid Mohammed, Yongsheng Sang:
3DCNN Backed Conv-LSTM Auto Encoder for Micro Facial Expression Video Recognition. MLICOM 2021: 90-105 - [c46]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. ACM Multimedia 2021: 2308-2316 - [i33]Chuan Liu, Yi Gao, Jiancheng Lv:
Dynamic Normalization. CoRR abs/2101.06073 (2021) - [i32]Cheng Luo, Dayiheng Liu, Chanjuan Li, Li Lu, Jiancheng Lv:
Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System. CoRR abs/2104.11454 (2021) - [i31]Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv:
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. CoRR abs/2105.00693 (2021) - [i30]Hang Zhang, Yeyun Gong, Yelong Shen, Weisheng Li, Jiancheng Lv, Nan Duan, Weizhu Chen:
Poolingformer: Long Document Modeling with Pooling Attention. CoRR abs/2105.04371 (2021) - [i29]Yuhao Zhou, Xihua Li, Yunbo Cao, Xuemin Zhao, Qing Ye, Jiancheng Lv:
LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences. CoRR abs/2105.06266 (2021) - [i28]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. CoRR abs/2105.07624 (2021) - [i27]Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng:
Unsupervised Neural Rendering for Image Hazing. CoRR abs/2107.06681 (2021) - [i26]Hang Zhang, Yeyun Gong, Yelong Shen, Jiancheng Lv, Nan Duan, Weizhu Chen:
Adversarial Retriever-Ranker for dense text retrieval. CoRR abs/2110.03611 (2021) - [i25]Yining Zhao, Samantha ODell, Xiaohan Yang, Jing-Yi Liao, Kexin Yang, Laura Fumanelli, Tao Zhou, Jiancheng Lv, Marco Ajelli, Quanhui Liu:
Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted. CoRR abs/2111.13816 (2021) - [i24]Xian Zhang, Hao Zhang, Jiancheng Lv, Xiaojie Li:
Face Deblurring Based on Separable Normalization and Adaptive Denormalization. CoRR abs/2112.09833 (2021) - 2020
- [j61]Yao Chen, Jiancheng Lv, Yanan Sun, Bijue Jia:
Heart sound segmentation via Duration Long-Short Term Memory neural network. Appl. Soft Comput. 95: 106540 (2020) - [j60]Jianping Gou, Yuanyuan Yang, Zhang Yi, Jiancheng Lv, Qirong Mao, Yongzhao Zhan:
Discriminative globality and locality preserving graph embedding for dimensionality reduction. Expert Syst. Appl. 144: 113079 (2020) - [j59]Jin Zheng, Yang Wang, Wanjun Xu, Zilu Gan, Ping Li, Jiancheng Lv:
GSSA: Pay attention to graph feature importance for GCN via statistical self-attention. Neurocomputing 417: 458-470 (2020) - [j58]Chenwei Tang, Xue Yang, Jiancheng Lv, Zhenan He:
Zero-shot learning by mutual information estimation and maximization. Knowl. Based Syst. 194: 105490 (2020) - [j57]Mao Li, Jiancheng Lv, Jian Wang, Yongsheng Sang:
An Abstract Painting Generation Method Based on Deep Generative Model. Neural Process. Lett. 52(2): 949-960 (2020) - [j56]Quanhui Liu, Ana I. Bento, Kexin Yang, Hang Zhang, Xiaohan Yang, Stefano Merler, Alessandro Vespignani, Jiancheng Lv, Hongjie Yu, Wei Zhang, Tao Zhou, Marco Ajelli:
The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions. PLoS Comput. Biol. 16(12) (2020) - [j55]Canghong Shi, Xiaojie Li, Jiancheng Lv, Jing Yin, Imran Mumtaz:
Robust geodesic based outlier detection for class imbalance problem. Pattern Recognit. Lett. 131: 428-434 (2020) - [j54]Feng Guo, Canghong Shi, Xiaojie Li, Xi Wu, Jiliu Zhou, Jiancheng Lv:
Image segmentation of nasopharyngeal carcinoma using 3D CNN with long-range skip connection and multi-scale feature pyramid. Soft Comput. 24(16): 12671-12680 (2020) - [j53]Jian Wang, Jiancheng Lv, Xue Yang, Chenwei Tang, Xi Peng:
Multimodal image-to-image translation between domains with high internal variability. Soft Comput. 24(23): 18173-18184 (2020) - [j52]Dayiheng Liu, Kexin Yang, Qian Qu, Jiancheng Lv:
Ancient-Modern Chinese Translation with a New Large Training Dataset. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 6:1-6:13 (2020) - [j51]Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv:
μ-Forcing: Training Variational Recurrent Autoencoders for Text Generation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 12:1-12:17 (2020) - [j50]Xiaojie Li, Jiancheng Lv, Zhang Yi:
Outlier Detection Using Structural Scores in a High-Dimensional Space. IEEE Trans. Cybern. 50(5): 2302-2310 (2020) - [j49]Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv:
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification. IEEE Trans. Cybern. 50(9): 3840-3854 (2020) - [j48]Zhenan He, Gary G. Yen, Jiancheng Lv:
Evolutionary Multiobjective Optimization With Robustness Enhancement. IEEE Trans. Evol. Comput. 24(3): 494-507 (2020) - [j47]Dongbo Liu, Zhenan He, Dongdong Chen, Jiancheng Lv:
A Network Framework for Small-Sample Learning. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4049-4062 (2020) - [c45]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning. AAAI 2020: 8376-8383 - [c44]Yusen Liu, Dayiheng Liu, Jiancheng Lv:
Deep Poetry: A Chinese Classical Poetry Generation System. AAAI 2020: 13626-13627 - [c43]Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo:
Let's be Humorous: Knowledge Enhanced Humor Generation. ACL (student) 2020: 156-161 - [c42]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. ACL 2020: 6762-6771 - [c41]Chanjuan Li, Dayiheng Liu, Kexin Yang, Xiaoming Huang, Jiancheng Lv:
Herb-Know: Knowledge Enhanced Prescription Generation for Traditional Chinese Medicine. BIBM 2020: 1560-1567 - [c40]Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. J. Ren, Jiancheng Lv, Yebin Liu:
Learning Event-Based Motion Deblurring. CVPR 2020: 3317-3326 - [c39]Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv:
Deep Density-Aware Count Regressor. ECAI 2020: 2856-2863 - [c38]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. EMNLP (1) 2020: 5798-5810 - [c37]Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. EMNLP (1) 2020: 6241-6250 - [c36]Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv:
HPSGD: Hierarchical Parallel SGD with Stale Gradients Featuring. ICONIP (2) 2020: 440-451 - [c35]Chenwei Tang, Yangzhu Kuang, Jiancheng Lv, Jinglu Hu:
SAN: Sampling Adversarial Networks for Zero-Shot Learning. ICONIP (2) 2020: 626-638 - [c34]Shenglan Yang, Bijue Jia, Yao Chen, Zhan ao Huang, Xiaoming Huang, Jiancheng Lv:
U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs. ICONIP (3) 2020: 629-640 - [c33]Mingfeng Xue, Hang Zhang, Jiancheng Lv:
Key Factors of Email Subject Generation. ICONIP (4) 2020: 668-675 - [c32]Chuan Liu, Qing Ye, Xiaoming Huang, Jiancheng Lv:
SuperConv: Strengthening the Convolution Kernel via Weight Sharing. ICONIP (2) 2020: 676-687 - [c31]Liao Chen, Zhichen Lai, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Exploration on the Generation of Chinese Palindrome Poetry. ICONIP (1) 2020: 754-765 - [c30]Zhichen Lai, Chenwei Tang, Jiancheng Lv:
Arbitrary Chinese Font Generation from a Single Reference. IJCNN 2020: 1-7 - [c29]Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Generating Chinese Poetry from Images via Concrete and Abstract Information. IJCNN 2020: 1-8 - [c28]Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv:
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. IJCNN 2020: 1-8 - [c27]Xiaofei Zhang, Jiancheng Lv, Heng Zheng, Yongsheng Sang:
Attention-Based Multi-Model Ensemble for Automatic Cataract Detection in B-Scan Eye Ultrasound Images. IJCNN 2020: 1-10 - [c26]Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng:
Partially View-aligned Clustering. NeurIPS 2020 - [i23]Xian Zhang, Xin Wang, Bin Kong, Youbing Yin, Qi Song, Siwei Lyu, Jiancheng Lv, Canghong Shi, Xiaojie Li:
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting. CoRR abs/2002.02909 (2020) - [i22]Yusen Liu, Dayiheng Liu, Jiancheng Lv, Yongsheng Sang:
Generating Chinese Poetry from Images via Concrete and Abstract Information. CoRR abs/2003.10773 (2020) - [i21]Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. CoRR abs/2004.03875 (2020) - [i20]Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. Ren, Jiancheng Lv, Yebin Liu:
Learning Event-Based Motion Deblurring. CoRR abs/2004.05794 (2020) - [i19]Hang Zhang, Dayiheng Liu, Jiancheng Lv, Cheng Luo:
Let's be Humorous: Knowledge Enhanced Humor Generation. CoRR abs/2004.13317 (2020) - [i18]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. CoRR abs/2004.14560 (2020) - [i17]Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. CoRR abs/2007.11831 (2020) - [i16]Yuhao Zhou, Qing Ye, Hailun Zhang, Jiancheng Lv:
HLSGD Hierarchical Local SGD With Stale Gradients Featuring. CoRR abs/2009.02701 (2020) - [i15]Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv:
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. CoRR abs/2009.03816 (2020) - [i14]Huishuang Tian, Kexin Yang, Dayiheng Liu, Jiancheng Lv:
AnchiBERT: A Pre-Trained Model for Ancient ChineseLanguage Understanding and Generation. CoRR abs/2009.11473 (2020) - [i13]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Jiancheng Lv, Nan Duan, Ming Zhou:
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space. CoRR abs/2010.01475 (2020) - [i12]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i11]Yuhao Zhou, Qing Ye, Jiancheng Lv:
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg. CoRR abs/2012.06706 (2020)
2010 – 2019
- 2019
- [j46]Jianping Gou, Lei Wang, Bing Hou, Jiancheng Lv, Yun-Hao Yuan, Qirong Mao:
Two-phase probabilistic collaborative representation-based classification. Expert Syst. Appl. 133: 9-20 (2019) - [j45]Mao Li, Jiancheng Lv, Chenwei Tang:
Aesthetic assessment of paintings based on visual balance. IET Image Process. 13(14): 2821-2828 (2019) - [j44]Jiangshu Wei, Jiancheng Lv, Zhang Yi:
A New Sparse Restricted Boltzmann Machine. Int. J. Pattern Recognit. Artif. Intell. 33(10): 1951004:1-1951004:23 (2019) - [j43]Chenwei Tang, Kun Xu, Zhenan He, Jiancheng Lv:
Exaggerated portrait caricatures synthesis. Inf. Sci. 502: 363-375 (2019) - [j42]Bijue Jia, Jiancheng Lv, Dayiheng Liu:
Deep learning-based automatic downbeat tracking: a brief review. Multim. Syst. 25(6): 617-638 (2019) - [j41]Dongdong Chen, Jiancheng Lv, Jing Yin, Haixian Zhang, Xiaojie Li:
Angle-based embedding quality assessment method for manifold learning. Neural Comput. Appl. 31(3): 839-849 (2019) - [j40]Lei Xia, Jiancheng Lv, Dongbo Liu:
A motion classification model with improved robustness through deformation code integration. Neural Comput. Appl. 31(12): 8519-8532 (2019) - [j39]Adam Ahmed Qaid Mohammed, Jiancheng Lv, Md. Sajjatul Islam:
A Deep Learning-Based End-to-End Composite System for Hand Detection and Gesture Recognition. Sensors 19(23): 5282 (2019) - [j38]Chenwei Tang, Jiancheng Lv, Yao Chen, Jixiang Guo:
An angle-based method for measuring the semantic similarity between visual and textual features. Soft Comput. 23(12): 4041-4050 (2019) - [j37]Dayiheng Liu, Jie Fu, Qian Qu, Jiancheng Lv:
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2350-2361 (2019) - [j36]Dayiheng Liu, Jiancheng Lv, Yunxia Li:
Generating Style-Specific Chinese Tang Poetry With a Simple Actor-Critic Model. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 313-321 (2019) - [c25]Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. ACL (1) 2019: 4146-4156 - [c24]Xianyu Wu, Canghong Shi, Xiaojie Li, Jia He, Xi Wu, Jiancheng Lv, Jiliu Zhou:
PWGAN: wasserstein GANs with perceptual loss for mode collapse. ACM TUR-C 2019: 151:1-151:7 - [c23]Xiaorong Pu, Kun Long, Kecheng Chen, Mei Xie, Jiancheng Lv, Dezhong Peng:
A Semantic-Based Short-Text Fast Clustering Method on Hotline Records in Chengdu. DASC/PiCom/DataCom/CyberSciTech 2019: 516-521 - [c22]Xi Peng, Zhenyu Huang, Jiancheng Lv, Hongyuan Zhu, Joey Tianyi Zhou:
COMIC: Multi-view Clustering Without Parameter Selection. ICML 2019: 5092-5101 - [c21]Zhichen Lai, Chenwei Tang, Jiancheng Lv:
Multi-view Image Generation by Cycle CVAE-GAN Networks. ICONIP (1) 2019: 43-54 - [c20]Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv:
Multi-view Spectral Clustering Network. IJCAI 2019: 2563-2569 - [c19]Bijue Jia, Jiancheng Lv, Yifan Pu, Xue Yang:
Impromptu Accompaniment of Pop Music using Coupled Latent Variable Model with Binary Regularizer. IJCNN 2019: 1-6 - [c18]Adam Ahmed Qaid Mohammed, Jiancheng Lv, Md. Sajjatul Islam:
Small Deep Learning Models for Hand Gesture Recognition. ISPA/BDCloud/SocialCom/SustainCom 2019: 1429-1435 - [c17]Xianyu Wu, Shihao Feng, Xiaojie Li, Jing Yin, Jiancheng Lv, Canghong Shi:
TL-GAN: Generative Adversarial Networks with Transfer Learning for Mode Collapse (S). SEKE 2019: 723-777 - [i10]Dayiheng Liu, Yang Xue, Feng He, Yuanyuan Chen, Jiancheng Lv:
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation. CoRR abs/1905.10072 (2019) - [i9]Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv:
TIGS: An Inference Algorithm for Text Infilling with Gradient Search. CoRR abs/1905.10752 (2019) - [i8]Dayiheng Liu, Jie Fu, Yidan Zhang, Chris Pal, Jiancheng Lv:
Revision in Continuous Space: Fine-Grained Control of Text Style Transfer. CoRR abs/1905.12304 (2019) - [i7]Bijue Jia, Jiancheng Lv, Dayiheng Liu:
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review. CoRR abs/1906.03870 (2019) - [i6]Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv:
Deep Density-aware Count Regressor. CoRR abs/1908.03314 (2019) - [i5]Yusen Liu, Dayiheng Liu, Jiancheng Lv:
Deep Poetry: A Chinese Classical Poetry Generation System. CoRR abs/1911.08212 (2019) - 2018
- [j35]Jianping Gou, Lei Wang, Zhang Yi, Jiancheng Lv, Qirong Mao, Yun-Hao Yuan:
A New Discriminative Collaborative Neighbor Representation Method for Robust Face Recognition. IEEE Access 6: 74713-74727 (2018) - [j34]Shudong Huang, Zenglin Xu, Jiancheng Lv:
Adaptive local structure learning for document co-clustering. Knowl. Based Syst. 148: 74-84 (2018) - [j33]Chunzhi Xie, Jiancheng Lv, Yunxia Li, Yongsheng Sang:
Cross-correlation conditional restricted Boltzmann machines for modeling motion style. Knowl. Based Syst. 159: 259-269 (2018) - [j32]Jing Yin, Jiancheng Lv, Yongsheng Sang, Jixiang Guo:
Classification model of restricted Boltzmann machine based on reconstruction error. Neural Comput. Appl. 29(11): 1171-1186 (2018) - [j31]Xiaojie Li, Xi Wu, Jiancheng Lv, Jia He, Jianping Gou, Mao Li:
Automatic detection of boundary points based on local geometrical measures. Soft Comput. 22(11): 3663-3674 (2018) - [j30]Xiaojie Li, Jiancheng Lv, Zhang Yi:
An Efficient Representation-Based Method for Boundary Point and Outlier Detection. IEEE Trans. Neural Networks Learn. Syst. 29(1): 51-62 (2018) - [j29]Dongdong Chen, Jiancheng Lv, Zhang Yi:
Graph Regularized Restricted Boltzmann Machine. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2651-2659 (2018) - [c16]Lei Xia, Jiancheng Lv, Yong Xu:
A Data Augmentation Model Based on Variational Approach. ICONIP (2) 2018: 157-168 - [c15]Fengrui Dai, Chenwei Tang, Jiancheng Lv:
Classification of Calligraphy Style Based on Convolutional Neural Network. ICONIP (4) 2018: 359-370 - [c14]Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv:
A Multi-Modal Chinese Poetry Generation Model. IJCNN 2018: 1-8 - [c13]Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv:
Method to Improve the Performance of Restricted Boltzmann Machines. ISNN 2018: 115-123 - [e1]Tingwen Huang, Jiancheng Lv, Changyin Sun, Alexander V. Tuzikov:
Advances in Neural Networks - ISNN 2018 - 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25-28, 2018, Proceedings. Lecture Notes in Computer Science 10878, Springer 2018, ISBN 978-3-319-92536-3 [contents] - [i4]Dayiheng Liu, Jiancheng Lv, Feng He, Yifan Pu:
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation. CoRR abs/1806.08097 (2018) - [i3]Dayiheng Liu, Quan Guo, Wubo Li, Jiancheng Lv:
A Multi-Modal Chinese Poetry Generation Model. CoRR abs/1806.09792 (2018) - [i2]Dayiheng Liu, Jiancheng Lv, Kexin Yang, Qian Qu:
Ancient-Modern Chinese Translation with a Large Training Dataset. CoRR abs/1808.03738 (2018) - [i1]Dongdong Chen, Jiancheng Lv, Mike E. Davies:
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR abs/1808.09389 (2018) - 2017
- [j28]Xiaojie Li, Jiancheng Lv, Xi Wu, Xin Yu:
A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation. Neurocomputing 224: 195-203 (2017) - [j27]Mao Li, Jiancheng Lv, Xiaojie Li, Jing Yin:
Computer-Generated Abstract Paintings Oriented by the Color Composition of Images. Inf. 8(2): 68 (2017) - [j26]Chunzhi Xie, Jiancheng Lv, Xiaojie Li:
Finding a good initial configuration of parameters for restricted Boltzmann machine pre-training. Soft Comput. 21(21): 6471-6479 (2017) - [c12]Dongdong Chen, Jiancheng Lv, Yi Zhang:
Unsupervised Multi-Manifold Clustering by Learning Deep Representation. AAAI Workshops 2017 - [c11]Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv:
Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. ICONIP (2) 2017: 207-216 - [c10]Chunzhi Xie, Jiancheng Lv, Bijue Jia, Lei Xia:
Tree Factored Conditional Restricted Boltzmann Machines for Mixed Motion Style. ICONIP (5) 2017: 484-492 - [c9]Lili Kong, Jiancheng Lv, Mao Li, Hanwang Zhang:
Extracting Generic Features of Artistic Style via Deep Convolutional Neural Network. ICVIP 2017: 119-123 - 2016
- [j25]Xiaodong Tang, Jixiang Guo, Peng Li, Jiancheng Lv:
A surgical simulation system for predicting facial soft tissue deformation. Comput. Vis. Media 2(2): 163-171 (2016) - [j24]Yongsheng Sang, Jiancheng Lv, Hong Qu, Zhang Yi:
Shortest path computation using pulse-coupled neural networks with restricted autowave. Knowl. Based Syst. 114: 1-11 (2016) - [j23]Lili Li, Jiancheng Lv, Zhang Yi:
A non-negative representation learning algorithm for selecting neighbors. Mach. Learn. 102(2): 133-153 (2016) - [c8]Dayiheng Liu, Jian Cheng Lv, Xiaofeng Qi, Jiangshu Wei:
A neural words encoding model. IJCNN 2016: 532-536 - [c7]Xiaojie Li, Jian Cheng Lv, Lili Li, Feng Ao:
An angle and density-based method for key points detection. IJCNN 2016: 3682-3688 - 2015
- [j22]Yuan Huang, Mao Li, Jiancheng Lv:
一种基于开方检验的特征选择方法 (New Feature Selection Method Based on CHI). 计算机科学 42(5): 54-56 (2015) - [j21]Jiangshu Wei, Jian Cheng Lv, Zhang Yi:
Robust classifier using distance-based representation with square weights. Soft Comput. 19(2): 507-515 (2015) - [j20]Jian Cheng Lv, Zhang Yi, Yunxia Li:
Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 26(2): 394-399 (2015) - [c6]Lili Li, Jiancheng Lv, Shengqiao Ni:
Estimating intrinsic dimension by sparse convex representation. RAM/CIS 2015: CIS:196-201 - 2014
- [j19]Xue Zhang, Jian Cheng Lv:
Sparse Affinity Propagation for Image Analysis. J. Softw. 9(3): 748-756 (2014) - [j18]Yunxia Li, Zhang Yi, Jian Cheng Lv:
Support vector set selection using pulse-coupled neural networks. Neural Comput. Appl. 25(2): 401-410 (2014) - [c5]Dongdong Chen, Jian Cheng Lv, Zhang Yi:
A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation. AAAI 2014: 1745-1751 - 2013
- [c4]Xiaojie Li, Jiancheng Lv, Yi Zhang:
Manifold Alignment Based on Sparse Local Structures of More Corresponding Pairs. IJCAI 2013: 2862-2868 - 2010
- [j17]Min Wan, Zhang Yi, Jiancheng Lv, Jiliu Zhou:
Stability and chaos analysis for an ICA algorithm. Comput. Math. Appl. 60(6): 1810-1827 (2010) - [j16]Kok Kiong Tan, Jiancheng Lv, Zhang Yi, Sunan Huang:
Adaptive multiple minor directions extraction in parallel using a PCA neural network. Theor. Comput. Sci. 411(48): 4200-4215 (2010) - [j15]Jiancheng Lv, Kok Kiong Tan, Zhang Yi, Sunan Huang:
A Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks. IEEE Trans. Fuzzy Syst. 18(1): 217-226 (2010)
2000 – 2009
- 2009
- [j14]Jiancheng Lv, Kok Kiong Tan, Zhang Yi, Sunan Huang:
Convergence analysis of a class of Hyvärinen-Oja's ICA learning algorithms with constant learning rates. IEEE Trans. Signal Process. 57(5): 1811-1824 (2009) - 2008
- [j13]Dezhong Peng, Zhang Yi, Jiancheng Lv, Yong Xiang:
A stable MCA learning algorithm. Comput. Math. Appl. 56(4): 847-860 (2008) - [j12]Dezhong Peng, Zhang Yi, Jiancheng Lv, Yong Xiang:
A neural networks learning algorithm for minor component analysis and its convergence analysis. Neurocomputing 71(7-9): 1748-1752 (2008) - [j11]Jiancheng Lv, Kok Kiong Tan, Zhang Yi, Sunan Huang:
Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks. Neural Process. Lett. 28(1): 35-47 (2008) - 2007
- [j10]Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
Determination of the Number of Principal Directions in a Biologically Plausible PCA Model. IEEE Trans. Neural Networks 18(3): 910-916 (2007) - [j9]Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
Global Convergence of GHA Learning Algorithm With Nonzero-Approaching Adaptive Learning Rates. IEEE Trans. Neural Networks 18(6): 1557-1571 (2007) - 2006
- [j8]Jiancheng Lv, Zhang Yi:
Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate. Comput. Math. Appl. 52(10-11): 1425-1438 (2006) - [j7]Lifeng Shang, Jiancheng Lv, Zhang Yi:
Rigid medical image registration using PCA neural network. Neurocomputing 69(13-15): 1717-1722 (2006) - [j6]Jian Cheng Lv, Zhang Yi, Kok Kiong Tan:
Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method. Neurocomputing 70(1-3): 362-372 (2006) - [j5]Xiufeng Jiang, Zhang Yi, Jiancheng Lv:
Fuzzy SVM with a new fuzzy membership function. Neural Comput. Appl. 15(3-4): 268-276 (2006) - [j4]Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
Global convergence of Oja's PCA learning algorithm with a non-zero-approaching adaptive learning rate. Theor. Comput. Sci. 367(3): 286-307 (2006) - [j3]Zhang Yi, Jiancheng Lv, Lei Zhang:
Output convergence analysis for a class of delayed recurrent neural networks with time-varying inputs. IEEE Trans. Syst. Man Cybern. Part B 36(1): 87-95 (2006) - [c3]Stones Lei Zhang, Zhang Yi, Jiancheng Lv:
Growing Hierarchical Principal Components Analysis Self-Organizing Map. ISNN (1) 2006: 701-706 - 2005
- [j2]Mao Ye, Zhang Yi, Jiancheng Lv:
A globally convergent learning algorithm for PCA neural networks. Neural Comput. Appl. 14(1): 18-24 (2005) - [j1]Zhang Yi, Mao Ye, Jiancheng Lv, Kok Kiong Tan:
Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm. IEEE Trans. Neural Networks 16(6): 1318-1328 (2005) - [c2]Jiancheng Lv, Zhang Yi:
An Improved Backpropagation Algorithm Using Absolute Error Function. ISNN (1) 2005: 585-590 - 2004
- [c1]Jiancheng Lv, Mao Ye, Zhang Yi:
Convergence Analysis for Oja+ MCA Learning Algorithm. ISNN (1) 2004: 810-814
Coauthor Index
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