Yu, Tianshu

23 publications

TMLR 2025 Efficient Training of Multi-Task Neural Solver for Combinatorial Optimization Chenguang Wang, Zhang-Hua Fu, Pinyan Lu, Tianshu Yu

AAAI 2025 Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu

TMLR 2025 Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining Xiaozhuang Song, Yuzhao Tu, Tianshu Yu

ICLR 2025 Generating Physical Dynamics Under Priors Zihan Zhou, Xiaoxue Wang, Tianshu Yu

ICLR 2025 HyperPLR: Hypergraph Generation Through Projection, Learning, and Reconstruction Weihuang Wen, Tianshu Yu

NeurIPS 2025 Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting Haoyu Zhang, Yinan Zhang, Chaolong Ying, Xiaoying Tang, Tianshu Yu

TMLR 2025 Rethinking Spectral Augmentation for Contrast-Based Graph Self-Supervised Learning Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu

ICML 2025 Sampling from Binary Quadratic Distributions via Stochastic Localization Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu

NeurIPS 2025 TEMPO: Temporal Multi-Scale Autoregressive Generation of Protein Conformational Ensembles Yaoyao Xu, Di Wang, Zihan Zhou, Tianshu Yu, Mingchen Chen

NeurIPS 2025 The Underappreciated Power of Vision Models for Graph Structural Understanding Xinjian Zhao, Wei Pang, Zhongkai Xue, Xiangru Jian, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu

NeurIPS 2024 Boosting Graph Pooling with Persistent Homology Chaolong Ying, Xinjian Zhao, Tianshu Yu

ECML-PKDD 2024 Boosting Protein Language Models with Negative Sample Mining Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu

NeurIPS 2024 Towards Robust Multimodal Sentiment Analysis with Incomplete Data Haoyu Zhang, Wenbin Wang, Tianshu Yu

TMLR 2023 Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring Shanchao Yang, Ma Kaili, Baoxiang Wang, Tianshu Yu, Hongyuan Zha

ICML 2023 Learning to Decouple Complex Systems Zihan Zhou, Tianshu Yu

CVPR 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang

ICML 2021 Deep Latent Graph Matching Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li

ICLR 2020 Deep Learning of Determinantal Point Processes via Proper Spectral Sub-Gradient Tianshu Yu, Yikang Li, Baoxin Li

ICLR 2020 Learning Deep Graph Matching with Channel-Independent Embedding and Hungarian Attention Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li

ECCV 2020 RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos Tianshu Yu, Yikang Li, Baoxin Li

NeurIPS 2018 Generalizing Graph Matching Beyond Quadratic Assignment Model Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li

ECCV 2018 Incremental Multi-Graph Matching via Diversity and Randomness Based Graph Clustering Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li

WACV 2016 Graph Matching with Low-Rank Regularization Tianshu Yu, Ruisheng Wang