DPGN: Distribution Propagation Graph Network for Few-Shot Learning. - Ling Yang 006; Liangliang Li; Zilun Zhang; Xinyu Zhou; Erjin Zhou; Yu Liu (CVPR, 2020)

Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. - Ling Yang 006; Shenda Hong (ICML, 2022)

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. - Ling Yang 006; Shenda Hong (ICML, 2022)

Spectral Propagation Graph Network for Few-shot Time Series Classification. - Ling Yang 006; Shenda Hong; Luxia Zhang (CoRR, 2022)

Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning. - Ling Yang 006; Shenda Hong; Luxia Zhang (CoRR, 2022)

Spatial Autoregressive Coding for Graph Neural Recommendation. - Jiayi Zheng; Ling Yang 006; Heyuan Wang 001; Cheng Yang; Yinghong Li; Xiaowei Hu; Shenda Hong (CoRR, 2022)

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. - Wenrui Zhang; Ling Yang 006; Shijia Geng; Shenda Hong (CoRR, 2022)

Diffusion Models: A Comprehensive Survey of Methods and Applications. - Ling Yang 006; Zhilong Zhang; Yang Song 011; Shenda Hong; Runsheng Xu; Yue Zhao 016; Yingxia Shao; Wentao Zhang 001; Ming-Hsuan Yang 001; Bin Cui 001 (CoRR, 2022)

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. - Ling Yang 006; Zhilin Huang; Yang Song 011; Shenda Hong; Guohao Li 001; Wentao Zhang 001; Bin Cui 001; Bernard Ghanem; Ming-Hsuan Yang 001 (CoRR, 2022)

Improving Diffusion-Based Image Synthesis with Context Prediction. - Ling Yang 006; Jingwei Liu; Shenda Hong; Zhilong Zhang; Zhilin Huang; Zheming Cai; Wentao Zhang 001; Bin Cui 001 (NeurIPS, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Binding-Adaptive Diffusion Models for Structure-Based Drug Design. - Zhilin Huang; Ling Yang 006; Zaixi Zhang; Xiangxin Zhou; Yu Bao; Xiawu Zheng; Yuwei Yang; Yu Wang; Wenming Yang (AAAI, 2024)

Structure-Guided Adversarial Training of Diffusion Models. - Ling Yang 006; Haotian Qian; Zhilong Zhang; Jingwei Liu; Bin Cui 001 (CVPR, 2024)

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. - Yuxuan Liang; Wentao Zhang 001; Zeang Sheng; Ling Yang 006; Jiawei Jiang 001; Yunhai Tong; Bin Cui 001 (ICDE, 2024)

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. - Yuhao Tang; Junyu Luo 002; Ling Yang 006; Xiao Luo 001; Wentao Zhang 001; Bin Cui 001 (ICDE, 2024)

BIM: Improving Graph Neural Networks with Balanced Influence Maximization. - Wentao Zhang 001; Xinyi Gao 001; Ling Yang 006; Meng Cao; Ping Huang; Jiulong Shan; Hongzhi Yin; Bin Cui 001 (ICDE, 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. - Ling Yang 006; Zhilong Zhang; Zhaochen Yu; Jingwei Liu; Minkai Xu; Stefano Ermon; Bin Cui 001 (ICLR, 2024)

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Zhilong Zhang; Wentao Zhang 001; Xiawu Zheng; Jie Chen 001; Yu Wang; Bin Cui 001; Wenming Yang (ICLR, 2024)

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. - Ling Yang 006; Zhaochen Yu; Chenlin Meng; Minkai Xu; Stefano Ermon; Bin Cui 001 (ICML, 2024)

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Chujun Qin; Yijie Yu 001; Xiawu Zheng; Zikun Zhou; Wentao Zhang 001; Yu Wang; Wenming Yang (ICML, 2024)

Motion-aware Latent Diffusion Models for Video Frame Interpolation. - Zhilin Huang; Yijie Yu 001; Ling Yang 006; Chujun Qin; Bing Zheng; Xiawu Zheng; Zikun Zhou; Yaowei Wang 001; Wenming Yang (ACM Multimedia, 2024)

Retrieval-Augmented Diffusion Models for Time Series Forecasting. - Jingwei Liu; Ling Yang 006; Hongyan Li 002; Shenda Hong (NeurIPS, 2024)

VideoTetris: Towards Compositional Text-to-Video Generation. - Ye Tian; Ling Yang 006; Haotian Yang; Yuan Gao; Yufan Deng; Xintao Wang 002; Zhaochen Yu; Xin Tao 001; Pengfei Wan 001; Di Zhang; Bin Cui 001 (NeurIPS, 2024)

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Shiyi Cao; Minkai Xu; Wentao Zhang 001; Joseph E. Gonzalez; Bin Cui 001 (NeurIPS, 2024)

RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models. - Xinchen Zhang; Ling Yang 006; Yaqi Cai; Zhaochen Yu; Kai-Ni Wang; Jiake Xie; Ye Tian; Minkai Xu; Yong Tang; Yujiu Yang; Bin Cui 001 (NeurIPS, 2024)

Distribution-Aware Data Expansion with Diffusion Models. - Haowei Zhu; Ling Yang 006; Jun-Hai Yong; Hongzhi Yin; Jiawei Jiang 001; Meng Xiao; Wentao Zhang 001; Bin Wang (NeurIPS, 2024)

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. - Wentao Zhang 001; Guochen Yan; Yu Shen 003; Ling Yang 006; Yangyu Tao; Bin Cui 001; Jian Tang 005 (SIGMOD Conference Companion, 2024)

RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models. - Xinchen Zhang; Ling Yang 006; Yaqi Cai; Zhaochen Yu; Jiake Xie; Ye Tian; Minkai Xu; Yong Tang; Yujiu Yang; Bin Cui 001 (CoRR, 2024)

Retrieval-Augmented Generation for AI-Generated Content: A Survey. - Penghao Zhao; Hailin Zhang 004; Qinhan Yu; Zhengren Wang; Yunteng Geng; Fangcheng Fu; Ling Yang 006; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Wentao Zhang 001; Bin Cui 001 (CoRR, 2024)

EditWorld: Simulating World Dynamics for Instruction-Following Image Editing. - Ling Yang 006; Bohan Zeng; Jiaming Liu; Hong Li 016; Minghao Xu; Wentao Zhang 001; Shuicheng Yan (CoRR, 2024)

A Survey of Multimodal Large Language Model from A Data-centric Perspective. - Tianyi Bai; Hao Liang; Binwang Wan; Ling Yang 006; Bozhou Li; Yifan Wang; Bin Cui 001; Conghui He; Binhang Yuan; Wentao Zhang 001 (CoRR, 2024)

VideoTetris: Towards Compositional Text-to-Video Generation. - Ye Tian; Ling Yang 006; Haotian Yang; Yuan Gao; Yufan Deng; Jingmin Chen; Xintao Wang 002; Zhaochen Yu; Xin Tao 001; Pengfei Wan 001; Di Zhang; Bin Cui 001 (CoRR, 2024)

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. - Ling Yang 006; Zixiang Zhang; Zhilong Zhang; Xingchao Liu; Minkai Xu; Wentao Zhang 001; Chenlin Meng; Stefano Ermon; Bin Cui 001 (CoRR, 2024)

An Adaptive Gradient Regularization Method. - Huixiu Jiang; Ling Yang 006; Yu Bao; Rutong Si (CoRR, 2024)

Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation. - Shengyuan Zhang; Ling Yang 006; Zejian Li; An Zhao; Chenye Meng; Changyuan Yang; Guang Yang 022; Zhiyuan Yang; Lingyun Sun (CoRR, 2024)

Universal Medical Image Representation Learning with Compositional Decoders. - Kaini Wang; Ling Yang 006; Siping Zhou; Guangquan Zhou; Wen-Bo Zhang; Bin Cui 001; Shuo Li 001 (CoRR, 2024)

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis. - Bohan Zeng; Ling Yang 006; Siyu Li; Jiaming Liu; Zixiang Zhang; Juanxi Tian; Kaixin Zhu; Yongzhen Guo; Fu-Yun Wang; Minkai Xu; Stefano Ermon; Wentao Zhang 001 (CoRR, 2024)

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Jiahui Peng; Xinlin Zhuang; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (CoRR, 2024)

SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Minkai Xu; Joseph E. Gonzalez; Bin Cui 001; Shuicheng Yan (CoRR, 2024)

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion. - Shengyuan Zhang; An Zhao; Ling Yang 006; Zejian Li; Chenye Meng; Haoran Xu; Tianrun Chen; Anyang Wei; Perry Pengyun Gu; Lingyun Sun (CoRR, 2024)

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing. - Jinbin Bai; Wei Chow; Ling Yang 006; Xiangtai Li; Juncheng Li 006; Hanwang Zhang; Shuicheng Yan (CoRR, 2024)

LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations. - Zejian Li; Chenye Meng; Yize Li 001; Ling Yang 006; Shengyuan Zhang; Jiarui Ma; Jiayi Li; Guang Yang 022; Changyuan Yang; Zhiyuan Yang; Jinxiong Chang; Lingyun Sun (CoRR, 2024)

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. - Ling Yang 006; Jiayi Zheng; Heyuan Wang 001; Zhongyi Liu; Zhilin Huang; Shenda Hong; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2024)

Diffusion Models: A Comprehensive Survey of Methods and Applications. - Ling Yang 006; Zhilong Zhang; Yang Song 011; Shenda Hong; Runsheng Xu; Yue Zhao 016; Wentao Zhang 001; Bin Cui 001; Ming-Hsuan Yang 001 (ACM Comput. Surv., 2024)

Graphusion: Latent Diffusion for Graph Generation. - Ling Yang 006; Zhilin Huang; Zhilong Zhang; Zhongyi Liu; Shenda Hong; Wentao Zhang 001; Wenming Yang; Bin Cui 001; Luxia Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer. - Wenrui Zhang; Ling Yang 006; Shijia Geng; Shenda Hong (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Scalable and Deep Graph Neural Networks via Noise Masking. - Yuxuan Liang; Wentao Zhang 001; Zeang Sheng; Ling Yang 006; Quanqing Xu; Jiawei Jiang 001; Yunhai Tong; Bin Cui 001 (AAAI, 2025)

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Fupeng Sun; Xinlin Zhuang; Jiahui Peng; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (ACL (1), 2025)

Training-Free Heterogeneous Graph Condensation via Data Selection. - Yuxuan Liang; Wentao Zhang 001; Xinyi Gao 001; Ling Yang 006; Chong Chen 001; Hongzhi Yin; Yunhai Tong; Bin Cui 001 (ICDE, 2025)

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. - Ling Yang 006; Zhaochen Yu; Tianjun Zhang; Minkai Xu; Joseph E. Gonzalez; Bin Cui 001; Shuicheng Yan (ICLR, 2025)

Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow. - Fu-Yun Wang; Ling Yang 006; Zhaoyang Huang; Mengdi Wang; Hongsheng Li 001 (ICLR, 2025)

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. - Minghao Xu; Yunteng Geng; Yihang Zhang; Ling Yang 006; Jian Tang 005; Wentao Zhang 001 (ICLR, 2025)

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts. - Bohan Zeng; Shanglin Li; Yutang Feng; Ling Yang 006; Juan Zhang; Hong Li 016; Jiaming Liu; Conghui He; Wentao Zhang 001; Jianzhuang Liu; Baochang Zhang 001; Shuicheng Yan (ICLR, 2025)

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. - Xinchen Zhang; Ling Yang 006; Guohao Li 001; Yaqi Cai; Jiake Xie; Yong Tang; Yujiu Yang; Mengdi Wang; Bin Cui 001 (ICLR, 2025)

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation. - Shengyuan Zhang; Ling Yang 006; Zejian Li; An Zhao; Chenye Meng; Changyuan Yang; Guang Yang 022; Zhiyuan Yang; Lingyun Sun (ICLR, 2025)

TSdetector: Temporal-Spatial self-correction collaborative learning for colonoscopy video detection. - Kai-Ni Wang; Haolin Wang; Guang-Quan Zhou; Yangang Wang; Ling Yang 006; Yang Chen 008; Shuo Li 001 (Medical Image Anal., 2025)

ReasonFlux: Hierarchical LLM Reasoning via Scaling Thought Templates. - Ling Yang 006; Zhaochen Yu; Bin Cui 001; Mengdi Wang (CoRR, 2025)

Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening. - Ye Tian; Ling Yang 006; Xinchen Zhang; Yunhai Tong; Mengdi Wang; Bin Cui 001 (CoRR, 2025)

HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation. - Ling Yang 006; Xinchen Zhang; Ye Tian; Chenming Shang; Minghao Xu; Wentao Zhang 001; Bin Cui 001 (CoRR, 2025)

WideRange4D: Enabling High-Quality 4D Reconstruction with Wide-Range Movements and Scenes. - Ling Yang 006; Kaixin Zhu; Juanxi Tian; Bohan Zeng; Mingbao Lin; Hongjuan Pei; Wentao Zhang 001; Shuicheng Yan (CoRR, 2025)

Training-free Diffusion Acceleration with Bottleneck Sampling. - Ye Tian; Xin Xia 014; Yuxi Ren; Shanchuan Lin; Xing Wang; Xuefeng Xiao 001; Yunhai Tong; Ling Yang 006; Bin Cui 001 (CoRR, 2025)

Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion. - An Zhao; Shengyuan Zhang; Ling Yang 006; Zejian Li; Jiale Wu; Haoran Xu; Anyang Wei; Perry Pengyun Gu; Lingyun Sun (CoRR, 2025)

MMaDA: Multimodal Large Diffusion Language Models. - Ling Yang 006; Ye Tian; Bowen Li; Xinchen Zhang; Ke Shen; Yunhai Tong; Mengdi Wang (CoRR, 2025)

Spatio-Temporal Energy-Guided Diffusion Model for Zero-Shot Video Synthesis and Editing. - Ling Yang 006; Yikai Zhao 001; Zhaochen Yu; Bohan Zeng; Minkai Xu; Shenda Hong; Bin Cui 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Acceleration Algorithms in GNNs: A Survey. - Lu Ma; Zeang Sheng; Xunkai Li; Xinyi Gao 001; Zhezheng Hao; Ling Yang 006; Xiaonan Nie; Jiawei Jiang 001; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2025)

Preacher: Paper-to-Video Agentic System. - Jingwei Liu; Ling Yang 006; Hao Luo; Fan Wang; Hongyan Li 002; Mengdi Wang (CoRR, 2025)