| 2026 | AAAI | Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics. | Xiaozhuang Song, Tianshu Yu |
| 2026 | ACL | AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search. | Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu |
| 2025 | AAAI | 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 |
| 2025 | ACL | Training Language Model to Critique for Better Refinement. | Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang |
| 2025 | ACL | ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search. | Xiaozhuang Song, Shufei Zhang, Tianshu Yu |
| 2025 | ICLR | Generating Physical Dynamics under Priors. | Zihan Zhou, Xiaoxue Wang, Tianshu Yu |
| 2025 | ICLR | HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction. | Weihuang Wen, Tianshu Yu |
| 2025 | ICML | Sampling from Binary Quadratic Distributions via Stochastic Localization. | Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu |
| 2025 | KDD | Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. | Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu |
| 2025 | KDD | Graph Learning with Distributional Edge Layouts. | Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu |
| 2025 | NAACL | Unsupervised Speech-text word-level alignment with Dynamic Programming. | Tianshu Yu, Zihan Gong, Minghuan Tan, Guhong Chen, Min Yang |
| 2023 | ACL | Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. | Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li |
| 2023 | EMNLP | Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. | Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu |
| 2023 | ICML | Learning to Decouple Complex Systems. | Zihan Zhou, Tianshu Yu |
| 2023 | SIGIR | Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. | Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu |
| 2022 | COLING | Dependency-aware Prototype Learning for Few-shot Relation Classification. | Tianshu Yu, Min Yang, Xiaoyan Zhao |
| 2021 | CVPR | Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. | Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang |
| 2021 | ICML | Deep Latent Graph Matching. | Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li |
| 2020 | CVPR | Determinant Regularization for Gradient-Efficient Graph Matching. | Tianshu Yu, Junchi Yan, Baoxin Li |
| 2020 | ECCV | RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. | Tianshu Yu, Yikang Li, Baoxin Li |
| 2020 | ICLR | Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient. | Tianshu Yu, Yikang Li, Baoxin Li |
| 2020 | ICLR | Learning deep graph matching with channel-independent embedding and Hungarian attention. | Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li |
| 2018 | AVSS | Simultaneous Event Localization and Recognition in Surveillance Video. | Yikang Li, Tianshu Yu, Baoxin Li |
| 2018 | CVPR | Joint Cuts and Matching of Partitions in One Graph. | Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li |
| 2018 | ECCV | Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. | Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li |
| 2016 | WACV | Graph matching with low-rank regularization. | Tianshu Yu, Ruisheng Wang |