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ORCIDYibing Zhan
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Publications
- 2026
[j72]Yanhong Li, Yibing Zhan, Baosheng Yu, Pingbo Xu, Lijing Chen, Chong Zhang, Chengli Zhou, Yunkai Zhang, Xiongbin Wang, Dapeng Tao:
Evaluating large language models for real-world perioperative clinical consultation. Neurocomputing 669: 132350 (2026)- [j67]Xiaodong Han, Yibing Zhan, Jun Ni
, Baosheng Yu, Dapeng Tao:
Mind the data: Evaluating data quality sensitivity in medical LLMs. Pattern Recognit. Lett. 199: 68-74 (2026) - [c69]Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu:
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction. AAAI 2026: 22958-22966 - [i79]Zhiyao Ren, Yibing Zhan, Siyuan Liang, Guozheng Ma, Baosheng Yu, Dacheng Tao:
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation. CoRR abs/2601.15645 (2026) - [i78]Wanyin Wu, Kanxue Li, Baosheng Yu, Haoyun Zhao, Yibing Zhan, Dapeng Tao, Hua Jin:
PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation. CoRR abs/2603.13275 (2026) - 2025
- [j62]Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu:
Hypnos: A domain-specific large language model for anesthesiology. Neurocomputing 624: 129389 (2025) - [j56]Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao:
Learning to Explore Sample Relationships. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5445-5459 (2025) - [j54]Haoran Wang, Jiahao Yang, Baosheng Yu, Yibing Zhan, Dapeng Tao, Haibin Ling:
Distilling interaction knowledge for semi-supervised egocentric action recognition. Pattern Recognit. 157: 110927 (2025) - [j53]Jianping Gou, Youhui Cheng, Yibing Zhan, Baosheng Yu, Weihua Ou, Zhang Yi:
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation. IEEE Trans. Big Data 11(2): 735-747 (2025) - [j52]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. IEEE Trans. Circuits Syst. Video Technol. 35(10): 9950-9963 (2025) - [j51]Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao:
Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 509-521 (2025) - [j50]Bohao Zhou, Yibing Zhan, Zhonghai Wang, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Weifeng Liu, Xiongbin Wang, Dapeng Tao:
Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. IEEE Trans. Emerg. Top. Comput. Intell. 9(4): 3057-3071 (2025) - [j49]Yanhong Li, Yibing Zhan, Baosheng Yu, Zhonghai Wang, Chong Zhang, Da Zhu, Chengli Zhou, Bohao Zhou, Liang Ding, Weifeng Liu, Xiongbin Wang, Dapeng Tao:
Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation. IEEE Trans. Emerg. Top. Comput. Intell. 9(6): 4051-4065 (2025) - [j44]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. IEEE Trans. Inf. Forensics Secur. 20: 4512-4524 (2025) - [c60]Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma:
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. ICASSP 2025: 1-5 - [c59]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). ICDE 2025: 4708-4709 - [i77]Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma:
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. CoRR abs/2501.02207 (2025) - [i72]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Dacheng Tao:
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation. CoRR abs/2503.19937 (2025) - [i71]Chenghao Li, Liu Liu, Baosheng Yu, Jiayan Qiu, Yibing Zhan:
Re-Initialization Token Learning for Tool-Augmented Large Language Models. CoRR abs/2506.14248 (2025) - [i67]Mian Zou, Nan Zhong, Baosheng Yu, Yibing Zhan, Kede Ma:
Bi-Level Optimization for Self-Supervised AI-Generated Face Detection. CoRR abs/2507.22824 (2025) - [i65]Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu:
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction. CoRR abs/2512.15762 (2025) - 2024
- [j35]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9967-9978 (2024) - [j31]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 36(11): 7030-7043 (2024) - [j29]Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao:
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. IEEE Trans. Multim. 26: 5181-5193 (2024) - [j24]Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang:
Attentional Composition Networks for Long-Tailed Human Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 8:1-8:18 (2024) - [c50]Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He:
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. IJCAI 2024: 129-138 - [i60]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao:
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR abs/2402.13408 (2024) - [i52]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. CoRR abs/2405.08487 (2024) - [i49]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. CoRR abs/2408.16305 (2024) - 2023
- [j23]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20(4): 554-568 (2023) - [j22]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao:
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131(7): 1857-1874 (2023) - [j18]Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma:
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. J. Frankl. Inst. 360(7): 4493-4518 (2023) - [j16]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167: 559-571 (2023) - [j12]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi:
Channel-Correlation-Based Selective Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15(3): 1574-1585 (2023) - [i37]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR abs/2306.12726 (2023) - [i36]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. CoRR abs/2307.06527 (2023) - 2022
- [c34]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI 2022: 212-220 - [c30]Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao:
Contrastive Boundary Learning for Point Cloud Segmentation. CVPR 2022: 8479-8489 - [c29]Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du:
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CVPR 2022: 16825-16834 - [c21]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao:
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP 2022: 1-6 - [c15]Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu:
Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW 2022: 1651-1662 - [i29]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. CoRR abs/2201.06794 (2022) - [i27]Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo:
Hyper-relationship Learning Network for Scene Graph Generation. CoRR abs/2202.07271 (2022) - [i25]Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du:
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CoRR abs/2203.02664 (2022) - [i23]Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao:
Contrastive Boundary Learning for Point Cloud Segmentation. CoRR abs/2203.05272 (2022) - [i22]Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He:
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR abs/2203.11492 (2022) - [i21]Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao:
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. CoRR abs/2204.01254 (2022) - [i7]Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao:
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR abs/2212.01853 (2022) - 2021
- [c13]Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du:
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. ICCV 2021: 10488-10497 - [c11]Wenyuan Xue, Siqi Cai, Wen Wang, Qingyong Li, Baosheng Yu, Yibing Zhan, Dacheng Tao:
A Question Answering System for Unstructured Table Images. ACM Multimedia 2021: 2783-2785 - [c10]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [i3]Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR abs/2112.11628 (2021)
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last updated on 2026-04-15 00:56 CEST by the dblp team
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