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ORCIDLing Yang 0006
Person information
- affiliation: Princeton University, NJ, USA
- affiliation (PhD 2025): Peking University, Beijing, China
Other persons with the same name
- Ling Yang — disambiguation page
- Ling Yang 0001
![[0000-0002-8707-6977]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8707-6977")
— Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more) - Ling Yang 0002 — Lanzhou University, School of Information Science and Engineering, China
- Ling Yang 0003 — Xidian University, School of Advanced Materials and Nanotechnology, China (and 1 more)
- Ling Yang 0004 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
- Ling Yang 0005 — St. John's University, Department of Marketing and Logistics Management, Taipei, Taiwan
- Ling Yang 0007 — Chinese Academy of Sciences, National Key Laboratory of Microwave Imaging, Beijing, China (and 2 more)
- Ling Yang 0008 — National University of Defense Technology, School of Computer, Changsha, China
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2020 – today
- 2026
[j9]Zhilin Huang, Ling Yang, Chujun Qin, Yifei Xing, Hongyang Yu, Xiangxin Zhou, Bing Zheng, Yu Wang, Xin Gao, Wenming Yang:
Disentangled diffusion model for 3D molecular generation with protein-ligand interaction priors. Bioinform. 42(6) (2026)- [j8]Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Jie Jiang, Bin Cui:
Retrieval-Augmented Generation for AI-Generated Content: A Survey. Data Sci. Eng. 11(1): 1-29 (2026) - [c38]An Zhao, Shengyuan Zhang, Zejian Li, Ling Yang, Pei Chen, Jiale Wu, Haoran Xu, Anyang Wei, Perry Pengyun Gu, Lingyun Sun:
Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion. AAAI 2026: 13070-13078 - [i67]Chenye Meng, Zejian Li, Zhongni Liu, Yize Li, Changle Xie, Kaixin Jia, Ling Yang, Huanghuang Deng, Shiying Ding, Shengyuan Zhang, Jiayi Li, Lingyun Sun:
Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes. CoRR abs/2601.04300 (2026) - 2025
- [j7]Kai-Ni Wang, Haolin Wang, Guang-Quan Zhou, Yangang Wang, Ling Yang, Yang Chen, Shuo Li:
TSdetector: Temporal-Spatial self-correction collaborative learning for colonoscopy video detection. Medical Image Anal. 100: 103384 (2025) - [j6]Ling Yang, Yikai Zhao, Zhaochen Yu, Bohan Zeng, Minkai Xu, Shenda Hong, Bin Cui:
Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing. IEEE Trans. Circuits Syst. Video Technol. 35(6): 6034-6046 (2025) - [j5]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. IEEE Trans. Knowl. Data Eng. 37(6): 3173-3192 (2025) - [c37]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. AAAI 2025: 18693-18701 - [c36]Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He:
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. ACL (1) 2025: 9465-9491 - [c35]Jiahao Qiu, Yinghui He, Xinzhe Juan, Yimin Wang, Yuhan Liu, Zixin Yao, Yue Wu, Xun Jiang, Ling Yang, Mengdi Wang:
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety. EMNLP 2025: 11741-11756 - [c34]Jiahao Qiu, Yifu Lu, Yifan Zeng, Jiacheng Guo, Jiayi Geng, Chenhao Zhu, Xinzhe Juan, Ling Yang, Huazheng Wang, Kaixuan Huang, Yue Wu, Mengdi Wang:
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling. EMNLP (Findings) 2025: 20894-20917 - [c33]Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang:
Temporal Consistency for LLM Reasoning Process Error Identification. EMNLP (Findings) 2025: 22114-22129 - [c32]Shengyuan Zhang, An Zhao, Ling Yang, Zejian Li, Chenye Meng, Haoran Xu, Tianrun Chen, Anyang Wei, Perry Pengyun Gu, Lingyun Sun:
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion. ICCV 2025: 5007-5016 - [c31]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-Free Heterogeneous Graph Condensation via Data Selection. ICDE 2025: 1718-1731 - [c30]Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan:
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. ICLR 2025 - [c29]Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li:
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow. ICLR 2025 - [c28]Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang:
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. ICLR 2025 - [c27]Bohan Zeng, Shanglin Li, Yutang Feng, Ling Yang, Juan Zhang, Hong Li, Jiaming Liu, Conghui He, Wentao Zhang, Jianzhuang Liu, Baochang Zhang, Shuicheng Yan:
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. ICLR 2025 - [c26]Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui:
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. ICLR 2025 - [c25]Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun:
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation. ICLR 2025 - [c24]Zejian Li, Yize Li, Chenye Meng, Zhongni Liu, Ling Yang, Shengyuan Zhang, Guang Yang, Changyuan Yang, Zhiyuan Yang, Lingyun Sun:
Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models. ACM Multimedia 2025: 9901-9910 - [c23]Bohan Zeng, Ling Yang, Jiaming Liu, Minghao Xu, Yuanxing Zhang, Pengfei Wan, Wentao Zhang, Shuicheng Yan:
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. ACM Multimedia 2025: 12674-12681 - [c22]Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He:
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. NeurIPS 2025 - [i66]Yinjie Wang, Ling Yang, Guohao Li, Mengdi Wang, Bryon Aragam:
ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization. CoRR abs/2502.04306 (2025) - [i65]Ling Yang, Zhaochen Yu, Bin Cui, Mengdi Wang:
ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates. CoRR abs/2502.06772 (2025) - [i64]Ye Tian, Ling Yang, Xinchen Zhang, Yunhai Tong, Mengdi Wang, Bin Cui:
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening. CoRR abs/2502.12146 (2025) - [i63]Ling Yang, Xinchen Zhang, Ye Tian, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui:
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation. CoRR abs/2502.12148 (2025) - [i62]Ling Yang, Kaixin Zhu, Juanxi Tian, Bohan Zeng, Mingbao Lin, Hongjuan Pei, Wentao Zhang, Shuicheng Yan:
WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes. CoRR abs/2503.13435 (2025) - [i61]Jiacheng Guo, Yue Wu, Jiahao Qiu, Kaixuan Huang, Xinzhe Juan, Ling Yang, Mengdi Wang:
Temporal Consistency for LLM Reasoning Process Error Identification. CoRR abs/2503.14495 (2025) - [i60]Ye Tian, Xin Xia, Yuxi Ren, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Yunhai Tong, Ling Yang, Bin Cui:
Training-free Diffusion Acceleration with Bottleneck Sampling. CoRR abs/2503.18940 (2025) - [i59]Jiahao Qiu, Yinghui He, Xinzhe Juan, Yimin Wang, Yuhan Liu, Zixin Yao, Yue Wu, Xun Jiang, Ling Yang, Mengdi Wang:
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety. CoRR abs/2504.09689 (2025) - [i58]An Zhao, Shengyuan Zhang, Ling Yang, Zejian Li, Jiale Wu, Haoran Xu, Anyang Wei, Perry Pengyun Gu, Lingyun Sun:
Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion. CoRR abs/2504.11447 (2025) - [i57]Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang, Ke Shen, Yunhai Tong, Mengdi Wang:
MMaDA: Multimodal Large Diffusion Language Models. CoRR abs/2505.15809 (2025) - [i56]Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He:
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. CoRR abs/2505.16270 (2025) - [i55]Ming Yin, Yuanhao Qu, Dyllan Liu, Ling Yang, Le Cong, Mengdi Wang:
Genome-Bench: A Scientific Reasoning Benchmark from Real-World Expert Discussions. CoRR abs/2505.19501 (2025) - [i54]Jiahao Qiu, Fulian Xiao, Yimin Wang, Yuchen Mao, Yijia Chen, Xinzhe Juan, Siran Wang, Xuan Qi, Tongcheng Zhang, Zixin Yao, Jiacheng Guo, Yifu Lu, Charles Argon, Jundi Cui, Daixin Chen, Junran Zhou, Shuyao Zhou, Zhanpeng Zhou, Ling Yang, Shilong Liu, Hongru Wang, Kaixuan Huang, Xun Jiang, Yuming Cao, Yue Chen, Yunfei Chen, Zhengyi Chen, Ruowei Dai, Mengqiu Deng, Jiye Fu, Yunting Gu, Zijie Guan, Zirui Huang, Xiaoyan Ji, Yumeng Jiang, Delong Kong, Haolong Li, Jiaqi Li, Ruipeng Li, Tianze Li, Zhuoran Li, Haixia Lian, Mengyue Lin, Xudong Liu, Jiayi Lu, Jinghan Lu, Wanyu Luo, Ziyue Luo, Zihao Pu, Zhi Qiao, Ruihuan Ren, Liang Wan, Ruixiang Wang, Tianhui Wang, Yang Wang, Zeyu Wang, Zihua Wang, Yujia Wu, Zhaoyi Wu, Hao Xin, Weiao Xing, Ruojun Xiong, Weijie Xu, Yao Shu, Xiao Yao, Xiaorui Yang, Yuchen Yang, Nan Yi, Jiadong Yu, Yangyuxuan Yu, Huiting Zeng, Danni Zhang, Yunjie Zhang, Zhaoyu Zhang, Zhiheng Zhang, Xiaofeng Zheng, Peirong Zhou, Linyan Zhong, Xiaoyin Zong, Ying Zhao, Zhenxin Chen, Lin Ding, Xiaoyu Gao, Bingbing Gong, Yichao Li, Yang Liao, Guang Ma, Tianyuan Ma, Xinrui Sun, Tianyi Wang, Han Xia, Ruobing Xian, Gen Ye, Tengfei Yu, Wentao Zhang, Yuxi Wang, Xi Gao, Mengdi Wang:
On Path to Multimodal Historical Reasoning: HistBench and HistAgent. CoRR abs/2505.20246 (2025) - [i53]Jiahao Qiu, Xuan Qi, Tongcheng Zhang, Xinzhe Juan, Jiacheng Guo, Yifu Lu, Yimin Wang, Zixin Yao, Qihan Ren, Xun Jiang, Xing Zhou, Dongrui Liu, Ling Yang, Yue Wu, Kaixuan Huang, Shilong Liu, Hongru Wang, Mengdi Wang:
Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution. CoRR abs/2505.20286 (2025) - [i52]Yinjie Wang, Ling Yang, Ye Tian, Ke Shen, Mengdi Wang:
Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning. CoRR abs/2506.03136 (2025) - [i51]Jiahao Qiu, Xinzhe Juan, Yimin Wang, Ling Yang, Xuan Qi, Tongcheng Zhang, Jiacheng Guo, Yifu Lu, Zixin Yao, Hongru Wang, Shilong Liu, Xun Jiang, Liu Leqi, Mengdi Wang:
AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes. CoRR abs/2506.14728 (2025) - [i50]Jiaru Zou, Ling Yang, Jingwen Gu, Jiahao Qiu, Ke Shen, Jingrui He, Mengdi Wang:
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs. CoRR abs/2506.18896 (2025) - [i49]Jingwei Liu, Ling Yang, Hao Luo, Fan Wang, Hongyan Li, Mengdi Wang:
Preacher: Paper-to-Video Agentic System. CoRR abs/2508.09632 (2025) - [i48]Yinjie Wang, Ling Yang, Bowen Li, Ye Tian, Ke Shen, Mengdi Wang:
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models. CoRR abs/2509.06949 (2025) - [i47]Zhaochen Yu, Ling Yang, Jiaru Zou, Shuicheng Yan, Mengdi Wang:
Demystifying Reinforcement Learning in Agentic Reasoning. CoRR abs/2510.11701 (2025) - [i46]Xinchen Zhang, Xiaoying Zhang, Youbin Wu, Yanbin Cao, Renrui Zhang, Ruihang Chu, Ling Yang, Yujiu Yang:
Generative Universal Verifier as Multimodal Meta-Reasoner. CoRR abs/2510.13804 (2025) - [i45]Ye Tian, Ling Yang, Jiongfan Yang, Anran Wang, Yu Tian, Jiani Zheng, Haochen Wang, Zhiyang Teng, Zhuochen Wang, Yinjie Wang, Yunhai Tong, Mengdi Wang, Xiangtai Li:
MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation. CoRR abs/2511.09611 (2025) - [i44]Jiaru Zou, Xiyuan Yang, Ruizhong Qiu, Gaotang Li, Katherine Tieu, Pan Lu, Ke Shen, Hanghang Tong, Yejin Choi, Jingrui He, James Zou, Mengdi Wang, Ling Yang:
Latent Collaboration in Multi-Agent Systems. CoRR abs/2511.20639 (2025) - [i43]Jiaru Zou, Ling Yang, Yunzhe Qi, Sirui Chen, Mengting Ai, Ke Shen, Jingrui He, Mengdi Wang:
AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning. CoRR abs/2512.13278 (2025) - [i42]Jiacheng Guo, Ling Yang, Peter Chen, Qixin Xiao, Yinjie Wang, Xinzhe Juan, Jiahao Qiu, Ke Shen, Mengdi Wang:
GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators. CoRR abs/2512.19682 (2025) - 2024
- [j4]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang:
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56(4): 105:1-105:39 (2024) - [j3]Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. 36(2): 682-693 (2024) - [j2]Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang:
Graphusion: Latent Diffusion for Graph Generation. IEEE Trans. Knowl. Data Eng. 36(11): 6358-6369 (2024) - [j1]Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong:
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16129-16138 (2024) - [c21]Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang:
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. AAAI 2024: 12671-12679 - [c20]Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
Structure-Guided Adversarial Training of Diffusion Models. CVPR 2024: 7256-7266 - [c19]Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui:
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. ICDE 2024: 2598-2611 - [c18]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui:
HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. ICDE 2024: 2779-2791 - [c17]Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui:
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE 2024: 2931-2944 - [c16]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR 2024 - [c15]Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui:
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. ICLR 2024 - [c14]Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang:
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR 2024 - [c13]Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang:
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. ICML 2024: 20348-20364 - [c12]Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. ICML 2024: 56704-56721 - [c11]Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang:
Motion-aware Latent Diffusion Models for Video Frame Interpolation. ACM Multimedia 2024: 1043-1052 - [c10]Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong:
Retrieval-Augmented Diffusion Models for Time Series Forecasting. NeurIPS 2024 - [c9]Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui:
VideoTetris: Towards Compositional Text-to-Video Generation. NeurIPS 2024 - [c8]Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. NeurIPS 2024 - [c7]Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui:
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models. NeurIPS 2024 - [c6]Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang:
Distribution-Aware Data Expansion with Diffusion Models. NeurIPS 2024 - [c5]Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang:
NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion 2024: 414-427 - [i41]Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR abs/2401.02015 (2024) - [i40]Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui:
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. CoRR abs/2401.11708 (2024) - [i39]Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui:
RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models. CoRR abs/2402.12908 (2024) - [i38]Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui:
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. CoRR abs/2402.16627 (2024) - [i37]Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui:
Structure-Guided Adversarial Training of Diffusion Models. CoRR abs/2402.17563 (2024) - [i36]Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang:
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. CoRR abs/2402.18583 (2024) - [i35]Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui:
Retrieval-Augmented Generation for AI-Generated Content: A Survey. CoRR abs/2402.19473 (2024) - [i34]Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang:
Distribution-Aware Data Expansion with Diffusion Models. CoRR abs/2403.06741 (2024) - [i33]Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang:
Motion-aware Latent Diffusion Models for Video Frame Interpolation. CoRR abs/2404.13534 (2024) - [i32]Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui:
Acceleration Algorithms in GNNs: A Survey. CoRR abs/2405.04114 (2024) - [i31]Ling Yang, Bohan Zeng, Jiaming Liu, Hong Li, Minghao Xu, Wentao Zhang, Shuicheng Yan:
EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. CoRR abs/2405.14785 (2024) - [i30]Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang:
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. CoRR abs/2405.16206 (2024) - [i29]Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang:
A Survey of Multimodal Large Language Model from A Data-centric Perspective. CoRR abs/2405.16640 (2024) - [i28]Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui:
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR abs/2406.04271 (2024) - [i27]Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui:
VideoTetris: Towards Compositional Text-to-Video Generation. CoRR abs/2406.04277 (2024) - [i26]Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui:
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR abs/2407.02398 (2024) - [i25]Huixiu Jiang, Ling Yang, Yu Bao, Rutong Si:
An Adaptive Gradient Regularization Method. CoRR abs/2407.16944 (2024) - [i24]Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun:
Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation. CoRR abs/2408.15991 (2024) - [i23]Kaini Wang, Ling Yang, Siping Zhou, Guangquan Zhou, Wen-Bo Zhang, Bin Cui, Shuo Li:
Universal Medical Image Representation Learning with Compositional Decoders. CoRR abs/2409.19890 (2024) - [i22]Kaini Wang, Haolin Wang, Guang-Quan Zhou, Yangang Wang, Ling Yang, Yang Chen, Shuo Li:
TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection. CoRR abs/2409.19983 (2024) - [i21]Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao Zhang:
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. CoRR abs/2410.07155 (2024) - [i20]Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui:
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. CoRR abs/2410.07171 (2024) - [i19]Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li:
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow. CoRR abs/2410.07303 (2024) - [i18]Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He:
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. CoRR abs/2410.08102 (2024) - [i17]Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan:
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. CoRR abs/2410.09008 (2024) - [i16]Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong:
Retrieval-Augmented Diffusion Models for Time Series Forecasting. CoRR abs/2410.18712 (2024) - [i15]Shengyuan Zhang, An Zhao, Ling Yang, Zejian Li, Chenye Meng, Haoran Xu, Tianrun Chen, Anyang Wei, Perry Pengyun Gu, Lingyun Sun:
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion. CoRR abs/2412.03515 (2024) - [i14]Jinbin Bai, Wei Chow, Ling Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Shuicheng Yan:
HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing. CoRR abs/2412.04280 (2024) - [i13]Zejian Li, Chenye Meng, Yize Li, Ling Yang, Shengyuan Zhang, Jiarui Ma, Jiayi Li, Guang Yang, Changyuan Yang, Zhiyuan Yang, Jinxiong Chang, Lingyun Sun:
LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations. CoRR abs/2412.08580 (2024) - [i12]Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui:
Towards Scalable and Deep Graph Neural Networks via Noise Masking. CoRR abs/2412.14602 (2024) - [i11]Yuxuan Liang, Wentao Zhang, Xinyi Gao, Ling Yang, Chong Chen, Hongzhi Yin, Yunhai Tong, Bin Cui:
Training-free Heterogeneous Graph Condensation via Data Selection. CoRR abs/2412.16250 (2024) - 2023
- [c4]Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui:
Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS 2023 - [i10]Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui:
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. CoRR abs/2306.15902 (2023) - [i9]Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec:
VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. CoRR abs/2308.02117 (2023) - 2022
- [c3]Ling Yang, Shenda Hong:
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. ICML 2022: 25022-25037 - [c2]Ling Yang, Shenda Hong:
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. ICML 2022: 25038-25054 - [i8]Ling Yang, Shenda Hong, Luxia Zhang:
Spectral Propagation Graph Network for Few-shot Time Series Classification. CoRR abs/2202.04769 (2022) - [i7]Ling Yang, Shenda Hong, Luxia Zhang:
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. CoRR abs/2202.04770 (2022) - [i6]Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong:
Spatial Autoregressive Coding for Graph Neural Recommendation. CoRR abs/2205.09489 (2022) - [i5]Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong:
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. CoRR abs/2205.09928 (2022) - [i4]Ling Yang, Shenda Hong:
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. CoRR abs/2205.15746 (2022) - [i3]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR abs/2209.00796 (2022) - [i2]Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang:
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR abs/2211.11138 (2022) - 2020
- [c1]Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu:
DPGN: Distribution Propagation Graph Network for Few-Shot Learning. CVPR 2020: 13387-13396 - [i1]Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu:
DPGN: Distribution Propagation Graph Network for Few-shot Learning. CoRR abs/2003.14247 (2020)
Coauthor Index
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