Nianzu Yang

According to our database, Nianzu Yang authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rethinking Video Tokenization: A Conditioned Diffusion-based Approach.

Nianzu Yang, Pandeng Li, Liming Zhao, Yang Li, Chen-Wei Xie, Yehui Tang, Xudong Lu, Zhihang Liu, Yun Zheng, Yu Liu, Junchi Yan

CoRR, March, 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, February, 2025

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search.

Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning.

Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Motion Control for Enhanced Complex Action Video Generation.

Qiang Zhou, Shaofeng Zhang, Nianzu Yang, Ye Qian, Hao Li

CoRR, 2024

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation.

Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification.

Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model.

Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark.

Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning.

Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan

Proceedings of the ACM Web Conference 2023, 2023

2022

Molecule Generation for Drug Design: a Graph Learning Perspective.

Nianzu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, Le Song

CoRR, 2022

Learning Substructure Invariance for Out-of-Distribution Molecular Representations.

Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation.

Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang

Proceedings of the 38th International Conference on Machine Learning, 2021