Tianshu Yu

72 papers A* 15A 1B 1Journal 45Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models.
CoRR
Haoyu Zhang, Zhipeng Li, Yiwen Guo, Tianshu Yu
2026 J jnl
FullTransNet: Full Transformer With Local-Global Attention for Video Summarization.
IEEE Trans. Emerg. Top. Comput. Intell.
Libin Lan, Lu Jiang, Tianshu Yu, Xiaojuan Liu, Zhongshi He
2026 J jnl
Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching.
CoRR
Chenguang Wang, Zihan Zhou, Lei Bai, Tianshu Yu
2026 A* conf
Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics.
AAAI
Xiaozhuang Song, Tianshu Yu
2026 J jnl
Towards Agentic Intelligence for Materials Science.
CoRR
Huan Zhang, Yizhan Li, Wenhao Huang, Ziyu Hou, Yu Song, Xuye Liu, Farshid Effaty, Jinya Jiang, Sifan Wu, Qianggang Ding, Izumi Takahara, Leonard R. MacGillivray, Teruyasu Mizoguchi, Tianshu Yu, Lizi Liao, Yuyu Luo, Yu Rong, Jia Li, Ying Diao, Heng Ji, Bang Liu
2025 J jnl
AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search.
CoRR
Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu
2025 J jnl
Chem-R: Learning to Reason as a Chemist.
CoRR
Weida Wang, Benteng Chen, Di Zhang, Wanhao Liu, Shuchen Pu, Ben Gao, Jin Zeng, Xiaoyong Wei, Tianshu Yu, Shuzhou Sun, Tianfan Fu, Wanli Ouyang, Lei Bai, Jiatong Li, Zifu Wang, Yuqiang Li, Shufei Zhang
2025 J jnl
Efficient Training of Multi-task Neural Solver for Combinatorial Optimization.
Trans. Mach. Learn. Res.
Chenguang Wang, Zhang-Hua Fu, Pinyan Lu, Tianshu Yu
2025 A* conf
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining.
AAAI
Xiaozhuang Song, Yuzhao Tu, Hangting Ye, Wei Fan, Qingquan Zhang, Xiaoxue Wang, Tianshu Yu
2025 J jnl
Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining.
Trans. Mach. Learn. Res.
Xiaozhuang Song, Yuzhao Tu, Tianshu Yu
2025 A* conf
Generating Physical Dynamics under Priors.
ICLR
Zihan Zhou, Xiaoxue Wang, Tianshu Yu
2025 — conf
Graph Learning with Distributional Edge Layouts.
KDD (1)
Xinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu
2025 J jnl
GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks.
CoRR
Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Joao Monteiro, Qiuzhuang Sun, Tianshu Yu
2025 J jnl
Incomplete Data, Complete Dynamics: A Diffusion Approach.
CoRR
Zihan Zhou, Chenguang Wang, Hongyi Ye, Yongtao Guan, Tianshu Yu
2025 J jnl
Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation.
CoRR
Ruiying Liu, Yuanzhi Liang, Haibin Huang, Tianshu Yu, Chi Zhang
2025 J jnl
Neural Graduated Assignment for Maximum Common Edge Subgraphs.
CoRR
Chaolong Ying, Yingqi Ruan, Xuemin Chen, Yaomin Wang, Tianshu Yu
2025 — conf
ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search.
ACL (Findings)
Xiaozhuang Song, Shufei Zhang, Tianshu Yu
2025 J jnl
Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning.
Trans. Mach. Learn. Res.
Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu
2025 J jnl
SDRNET: Stacked Deep Residual Network for Accurate Semantic Segmentation of Fine-Resolution Remotely Sensed Images.
CoRR
Naftaly Wambugu, Ruisheng Wang, Bo Guo, Tianshu Yu, Sheng Xu, Mohammed A. M. Elhassan
2025 A* conf
Sampling from Binary Quadratic Distributions via Stochastic Localization.
ICML
Chenguang Wang, Kaiyuan Cui, Weichen Zhao, Tianshu Yu
2025 J jnl
TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles.
CoRR
Yaoyao Xu, Di Wang, Zihan Zhou, Tianshu Yu, Mingchen Chen
2025 J jnl
The Underappreciated Power of Vision Models for Graph Structural Understanding.
CoRR
Xinjian Zhao, Wei Pang, Zhongkai Xue, Xiangru Jian, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu
2025 J jnl
UM3: Unsupervised Map to Map Matching.
CoRR
Chaolong Ying, Yinan Zhang, Lei Zhang, Jiazhuang Wang, Shujun Jia, Tianshu Yu
2025 — conf
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.
KDD (1)
Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
2024 J jnl
ASP: Learn a Universal Neural Solver!
IEEE Trans. Pattern Anal. Mach. Intell.
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2024 A* conf
Boosting Graph Pooling with Persistent Homology.
NeurIPS
Chaolong Ying, Xinjian Zhao, Tianshu Yu
2024 J jnl
Boosting Graph Pooling with Persistent Homology.
CoRR
Chaolong Ying, Xinjian Zhao, Tianshu Yu
2024 — conf
Boosting Protein Language Models with Negative Sample Mining.
ECML/PKDD (10)
Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu
2024 J jnl
Boosting Protein Language Models with Negative Sample Mining.
CoRR
Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu
2024 J jnl
Do spectral cues matter in contrast-based graph self-supervised learning?
CoRR
Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu
2024 J jnl
Efficient Neural Collaborative Search for Pickup and Delivery Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu, Jianhua Xiao
2024 J jnl
Generating Physical Dynamics under Priors.
CoRR
Zihan Zhou, Xiaoxue Wang, Tianshu Yu
2024 J jnl
Graph Learning with Distributional Edge Layouts.
CoRR
Xinjian Zhao, Chaolong Ying, Tianshu Yu
2024 — conf
Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling.
ICC
Yiheng Wang, Shutao Zhang, Ye Xue, Tianshu Yu, Qingjiang Shi, Tsung-Hui Chang
2024 J jnl
NeuroLifting: Neural Inference on Markov Random Fields at Scale.
CoRR
Yaomin Wang, Chaolong Ying, Xiaodong Luo, Tianshu Yu
2024 J jnl
On Diffusion Process in SE(3)-invariant Space.
CoRR
Zihan Zhou, Ruiying Liu, Jiachen Zheng, Xiaoxue Wang, Tianshu Yu
2024 J jnl
Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.
CoRR
Xuanhao Pan, Chenguang Wang, Chaolong Ying, Ye Xue, Tianshu Yu
2024 — conf
Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization.
BIBM
Xiaozhuang Song, Xu Liao, Hangting Ye, Yaoyao Xu, Wei Fan, Jin Liu, Tianshu Yu
2024 J jnl
Towards Principled Task Grouping for Multi-Task Learning.
CoRR
Chenguang Wang, Xuanhao Pan, Tianshu Yu
2024 A* conf
Towards Robust Multimodal Sentiment Analysis with Incomplete Data.
NeurIPS
Haoyu Zhang, Wenbin Wang, Tianshu Yu
2024 J jnl
Towards Robust Multimodal Sentiment Analysis with Incomplete Data.
CoRR
Haoyu Zhang, Wenbin Wang, Tianshu Yu
2024 J jnl
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.
CoRR
Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
2023 J jnl
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem.
CoRR
Zhang-Hua Fu, Sipeng Sun, Jintong Ren, Tianshu Yu, Haoyu Zhang, Yuanyuan Liu, Lingxiao Huang, Xiang Yan, Pinyan Lu
2023 J jnl
ASP: Learn a Universal Neural Solver!
CoRR
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2023 J jnl
Efficient Training of Multi-task Neural Solver with Multi-armed Bandits.
CoRR
Chenguang Wang, Tianshu Yu
2023 A* conf
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis.
EMNLP
Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu
2023 J jnl
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis.
CoRR
Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu
2023 J jnl
Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring.
Trans. Mach. Learn. Res.
Shanchao Yang, Kaili Ma, Baoxiang Wang, Tianshu Yu, Hongyuan Zha
2023 A* conf
Learning to Decouple Complex Systems.
ICML
Zihan Zhou, Tianshu Yu
2023 J jnl
Learning to Decouple Complex Systems.
CoRR
Zihan Zhou, Tianshu Yu
2023 J jnl
Molecular Conformation Generation via Shifting Scores.
CoRR
Zihan Zhou, Ruiying Liu, Chaolong Ying, Ruimao Zhang, Tianshu Yu
2021 A* conf
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.
CVPR
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
2021 A* conf
Deep Latent Graph Matching.
ICML
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
2020 J jnl
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.
CoRR
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
2020 A* conf
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient.
ICLR
Tianshu Yu, Yikang Li, Baoxin Li
2020 A* conf
Determinant Regularization for Gradient-Efficient Graph Matching.
CVPR
Tianshu Yu, Junchi Yan, Baoxin Li
2020 A* conf
Learning deep graph matching with channel-independent embedding and Hungarian attention.
ICLR
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
2020 J jnl
Recognizing Video Events with Varying Rhythms.
CoRR
Yikang Li, Tianshu Yu, Baoxin Li
2020 — conf
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos.
ECCV (10)
Tianshu Yu, Yikang Li, Baoxin Li
2020 J jnl
Variational Wasserstein Barycenters for Geometric Clustering.
CoRR
Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang
2018 A* conf
Generalizing Graph Matching beyond Quadratic Assignment Model.
NeurIPS
Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li
2018 — conf
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering.
ECCV (13)
Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li
2018 A* conf
Joint Cuts and Matching of Partitions in One Graph.
CVPR
Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
2018 J jnl
Plan-Recognition-Driven Attention Modeling for Visual Recognition.
CoRR
Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li
2018 B conf
Simultaneous Event Localization and Recognition in Surveillance Video.
AVSS
Yikang Li, Tianshu Yu, Baoxin Li
2018 J jnl
Weakly Supervised Attention Learning for Textual Phrases Grounding.
CoRR
Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang
2017 J jnl
Joint Cuts and Matching of Partitions in One Graph.
CoRR
Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
2016 — conf
Enhancing scene parsing by transferring structures via efficient low-rank graph matching.
SIGSPATIAL/GIS
Tianshu Yu, Ruisheng Wang
2016 A conf
Graph matching with low-rank regularization.
WACV
Tianshu Yu, Ruisheng Wang
2016 J jnl
Scene parsing using graph matching on street-view data.
Comput. Vis. Image Underst.
Tianshu Yu, Ruisheng Wang
2015 J jnl
Face recognition based on subset selection via metric learning on manifold.
Frontiers Inf. Technol. Electron. Eng.
Hong Shao, Shuang Chen, Jieyi Zhao, Wen-cheng Cui, Tianshu Yu
2012 — conf
Ribs segmentation based on image fusion and wavelet de-noising.
BMEI
Wen-cheng Cui, Tianshu Yu, Lijie Ren, Hong Shao