Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. - Chao Chen 016; Haoyu Geng; Nianzu Yang; Junchi Yan; Daiyue Xue; Jianping Yu; Xiaokang Yang 001 (ICML, 2021)

Learning Substructure Invariance for Out-of-Distribution Molecular Representations. - Nianzu Yang; Kaipeng Zeng; Qitian Wu; Xiaosong Jia; Junchi Yan (NeurIPS, 2022)

Molecule Generation for Drug Design: a Graph Learning Perspective. - Nianzu Yang; Huaijin Wu; Junchi Yan; Xiaoyong Pan; Ye Yuan; Le Song (CoRR, 2022)

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. - Nianzu Yang; Kaipeng Zeng; Qitian Wu; Junchi Yan (WWW, 2023)

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. - Yehui Tang; Hao Xiong 003; Nianzu Yang; Tailong Xiao; Junchi Yan (ICLR, 2024)

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. - Huaijin Wu; Wei Liu 005; Yatao Bian; Jiaxiang Wu 001; Nianzu Yang; Junchi Yan (ICLR, 2024)

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. - Yehui Tang; Nianzu Yang; Mabiao Long; Junchi Yan (ICML, 2024)

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. - Nianzu Yang; Kaipeng Zeng; Haotian Lu 009; Yexin Wu; Zexin Yuan; Danni Chen; Shengdian Jiang; Jiaxiang Wu 001; Yimin Wang; Junchi Yan (ICML, 2024)

Motion Control for Enhanced Complex Action Video Generation. - Qiang Zhou; Shaofeng Zhang; Nianzu Yang; Ye Qian; Hao Li (CoRR, 2024)

EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning. - Chao Chen 016; Haoyu Geng; Nianzu Yang; Xiaokang Yang 001; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search. - Yang Li 197; Jiale Ma; Wenzheng Pan; Runzhong Wang; Haoyu Geng; Nianzu Yang; Junchi Yan (ICLR, 2025)

What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Coverage of MLLMs. - Zhihang Liu; Chen-Wei Xie; Bin Wen; Feiwu Yu; Jixuan Chen; Boqiang Zhang; Nianzu Yang; Pandeng Li; Yun Zheng; Hongtao Xie (CoRR, 2025)

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach. - Nianzu Yang; Pandeng Li; Liming Zhao; Yang Li 197; Chen-Wei Xie; Yehui Tang; Xudong Lu; Zhihang Liu; Yun Zheng; Yu Liu 015; Junchi Yan (CoRR, 2025)