Tianshu Yu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Topics

Diffusion Process

Salient Object Detection

Graph Edit Distance

Top Venues

Publications

Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. CoRR (2024)
Xinjian Zhao, Chaolong Ying, Tianshu Yu
Graph Learning with Distributional Edge Layouts. CoRR (2024)
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
ASP: Learn a Universal Neural Solver! IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Zihan Zhou, Ruiying Liu, Jiachen Zheng, Xiaoxue Wang, Tianshu Yu
On Diffusion Process in SE(3)-invariant Space. CoRR (2024)
Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu
Boosting Protein Language Models with Negative Sample Mining. CoRR (2024)
Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu
Do spectral cues matter in contrast-based graph self-supervised learning? CoRR (2024)
Chaolong Ying, Xinjian Zhao, Tianshu Yu
Boosting Graph Pooling with Persistent Homology. CoRR (2024)
Chenguang Wang, Xuanhao Pan, Tianshu Yu
Towards Principled Task Grouping for Multi-Task Learning. CoRR (2024)
Zihan Zhou, Ruiying Liu, Tianshu Yu
On Accelerating Diffusion-based Molecular Conformation Generation in SE(3)-invariant Space. CoRR (2023)
Tianshu Yu, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li
Constructive Large Language Models Alignment with Diverse Feedback. CoRR (2023)
Junjie Wu, Changqun Xia, Tianshu Yu, Zhentao He, Jia Li
Salient Object Detection Using Reciprocal Learning. PRCV (9) (2023)
Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. ACL (1) (2023)
Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu
Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. SIGIR (2023)
Chenxi Xie, Changqun Xia, Tianshu Yu, Jia Li
Frequency Representation Integration for Camouflaged Object Detection. ACM Multimedia (2023)
Zihan Zhou, Ruiying Liu, Chaolong Ying, Ruimao Zhang, Tianshu Yu
Molecular Conformation Generation via Shifting Scores. CoRR (2023)
Zihan Zhou, Tianshu Yu
Learning to Decouple Complex Systems. ICML (2023)
Zihan Zhou, Tianshu Yu
Learning to Decouple Complex Systems. CoRR (2023)
Shanchao Yang, Kaili Ma, Baoxiang Wang, Tianshu Yu, Hongyuan Zha
Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring. Trans. Mach. Learn. Res. 2023 (2023)
Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li
Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment. CoRR (2023)
Tianshu Yu, Changqun Xia, Jia Li
Towards Unbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation. CoRR (2023)
Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. EMNLP (2023)
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
ASP: Learn a Universal Neural Solver! CoRR (2023)
Zhang-Hua Fu, Sipeng Sun, Jintong Ren, Tianshu Yu, Haoyu Zhang, Yuanyuan Liu, Lingxiao Huang, Xiang Yan, Pinyan Lu
A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem. CoRR (2023)
Weihuang Wen, Tianshu Yu
W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs. CoRR (2023)
Chenguang Wang, Tianshu Yu
Efficient Training of Multi-task Neural Solver with Multi-armed Bandits. CoRR (2023)
Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. CoRR (2023)
Junjie Wu, Changqun Xia, Tianshu Yu, Jia Li
View-Aware Salient Object Detection for $360^{\circ }$ Omnidirectional Image. IEEE Trans. Multim. 25 (2023)
Tianshu Yu, Min Yang, Xiaoyan Zhao
Dependency-aware Prototype Learning for Few-shot Relation Classification. COLING (2022)
Junjie Wu, Changqun Xia, Tianshu Yu, Jia Li
View-aware Salient Object Detection for 360° Omnidirectional Image. CoRR (2022)
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
Deep Latent Graph Matching. ICML (2021)
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR (2021)
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR (2020)
Tianshu Yu, Yikang Li, Baoxin Li
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. ECCV (10) (2020)
Yikang Li, Tianshu Yu, Baoxin Li
Recognizing Video Events with Varying Rhythms. CoRR (2020)
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR (2020)
Tianshu Yu, Yikang Li, Baoxin Li
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient. ICLR (2020)
Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang
Variational Wasserstein Barycenters for Geometric Clustering. CoRR (2020)
Tianshu Yu, Junchi Yan, Baoxin Li
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR (2020)
Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS (2018)
Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
Joint Cuts and Matching of Partitions in One Graph. CVPR (2018)
Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) (2018)
Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li
Plan-Recognition-Driven Attention Modeling for Visual Recognition. CoRR (2018)
Yikang Li, Tianshu Yu, Baoxin Li
Simultaneous Event Localization and Recognition in Surveillance Video. AVSS (2018)
Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang
Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR (2018)
Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li
Joint Cuts and Matching of Partitions in One Graph. CoRR (2017)
Tianshu Yu, Ruisheng Wang
Enhancing scene parsing by transferring structures via efficient low-rank graph matching. SIGSPATIAL/GIS (2016)
Tianshu Yu, Ruisheng Wang
Graph matching with low-rank regularization. WACV (2016)
Tianshu Yu, Ruisheng Wang
Scene parsing using graph matching on street-view data. Comput. Vis. Image Underst. 145 (2016)
Hong Shao, Shuang Chen, Jieyi Zhao, Wen-cheng Cui, Tianshu Yu
Face recognition based on subset selection via metric learning on manifold. Frontiers Inf. Technol. Electron. Eng. 16 (12) (2015)
Wen-cheng Cui, Tianshu Yu, Lijie Ren, Hong Shao
Ribs segmentation based on image fusion and wavelet de-noising. BMEI (2012)