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ORCIDTianshu Yu
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- affiliation: The Chinese University of Hong Kong, Shenzhen, China
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2020 – today
- 2024
[j5]Chenguang Wang
, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang:
ASP: Learn a Universal Neural Solver! IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4102-4114 (2024)- [c23]Tianshu Yu, Kunpeng Bai:
Secure and Portable Anonymous Credentials without Tamper-Resistant Hardware. AsiaJCIS 2024: 99-106 - [c22]Yiheng Wang, Shutao Zhang, Ye Xue, Tianshu Yu, Qingjiang Shi, Tsung-Hui Chang:
Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling. ICC 2024: 342-347 - [c21]Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. ECML/PKDD (10) 2024: 199-214 - [i26]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 abs/2402.15326 (2024) - [i25]Chenguang Wang, Xuanhao Pan, Tianshu Yu:
Towards Principled Task Grouping for Multi-Task Learning. CoRR abs/2402.15328 (2024) - [i24]Chaolong Ying, Xinjian Zhao, Tianshu Yu:
Boosting Graph Pooling with Persistent Homology. CoRR abs/2402.16346 (2024) - [i23]Xinjian Zhao, Chaolong Ying, Tianshu Yu:
Graph Learning with Distributional Edge Layouts. CoRR abs/2402.16402 (2024) - [i22]Zihan Zhou, Ruiying Liu, Jiachen Zheng, Xiaoxue Wang, Tianshu Yu:
On Diffusion Process in SE(3)-invariant Space. CoRR abs/2403.01430 (2024) - [i21]Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song, Benyou Wang, Tianshu Yu:
Boosting Protein Language Models with Negative Sample Mining. CoRR abs/2405.17902 (2024) - [i20]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 abs/2405.19600 (2024) - [i19]Changqun Xia, Chenxi Xie, Zhentao He, Tianshu Yu, Jia Li:
PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network. CoRR abs/2408.01137 (2024) - [i18]Zihan Zhou, Xiaoxue Wang, Tianshu Yu:
Generating Physical Dynamics under Priors. CoRR abs/2409.00730 (2024) - [i17]Haoyu Zhang, Wenbin Wang, Tianshu Yu:
Towards Robust Multimodal Sentiment Analysis with Incomplete Data. CoRR abs/2409.20012 (2024) - 2023
- [j4]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) - [j3]Junjie Wu, Changqun Xia, Tianshu Yu, Jia Li:
View-Aware Salient Object Detection for $360^{\circ }$ Omnidirectional Image. IEEE Trans. Multim. 25: 6471-6484 (2023) - [c20]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: 7900-7913 - [c19]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: 756-767 - [c18]Zihan Zhou, Tianshu Yu:
Learning to Decouple Complex Systems. ICML 2023: 42810-42828 - [c17]Chenxi Xie, Changqun Xia, Tianshu Yu, Jia Li:
Frequency Representation Integration for Camouflaged Object Detection. ACM Multimedia 2023: 1789-1797 - [c16]Junjie Wu, Changqun Xia, Tianshu Yu, Zhentao He, Jia Li:
Salient Object Detection Using Reciprocal Learning. PRCV (9) 2023: 281-293 - [c15]Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu:
Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. SIGIR 2023: 2324-2328 - [i16]Zihan Zhou, Tianshu Yu:
Learning to Decouple Complex Systems. CoRR abs/2302.01581 (2023) - [i15]Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang:
ASP: Learn a Universal Neural Solver! CoRR abs/2303.00466 (2023) - [i14]Chenguang Wang, Tianshu Yu:
Efficient Training of Multi-task Neural Solver with Multi-armed Bandits. CoRR abs/2305.06361 (2023) - [i13]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 abs/2305.11579 (2023) - [i12]Tianshu Yu, Changqun Xia, Jia Li:
Towards Unbalanced Motion: Part-Decoupling Network for Video Portrait Segmentation. CoRR abs/2307.16565 (2023) - [i11]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 abs/2308.04639 (2023) - [i10]Zihan Zhou, Ruiying Liu, Chaolong Ying, Ruimao Zhang, Tianshu Yu:
Molecular Conformation Generation via Shifting Scores. CoRR abs/2309.09985 (2023) - [i9]Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu:
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis. CoRR abs/2310.05804 (2023) - [i8]Tianshu Yu, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li:
Constructive Large Language Models Alignment with Diverse Feedback. CoRR abs/2310.06450 (2023) - 2022
- [c14]Tianshu Yu, Min Yang, Xiaoyan Zhao:
Dependency-aware Prototype Learning for Few-shot Relation Classification. COLING 2022: 2339-2345 - [i7]Junjie Wu, Changqun Xia, Tianshu Yu, Jia Li:
View-aware Salient Object Detection for 360° Omnidirectional Image. CoRR abs/2209.13222 (2022) - 2021
- [c13]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CVPR 2021: 5241-5250 - [c12]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Deep Latent Graph Matching. ICML 2021: 12187-12197 - 2020
- [c11]Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR 2020: 7121-7130 - [c10]Tianshu Yu, Yikang Li, Baoxin Li:
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos. ECCV (10) 2020: 127-144 - [c9]Tianshu Yu, Yikang Li, Baoxin Li:
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient. ICLR 2020 - [c8]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [i6]Yikang Li, Tianshu Yu, Baoxin Li:
Recognizing Video Events with Varying Rhythms. CoRR abs/2001.05060 (2020) - [i5]Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. CoRR abs/2002.10543 (2020) - [i4]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR abs/2011.15039 (2020)
2010 – 2019
- 2018
- [c7]Yikang Li, Tianshu Yu, Baoxin Li:
Simultaneous Event Localization and Recognition in Surveillance Video. AVSS 2018: 1-6 - [c6]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CVPR 2018: 705-713 - [c5]Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li:
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) 2018: 142-158 - [c4]Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li:
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS 2018: 861-871 - [i3]Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang:
Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR abs/1805.00545 (2018) - [i2]Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati, Baoxin Li:
Plan-Recognition-Driven Attention Modeling for Visual Recognition. CoRR abs/1812.00301 (2018) - 2017
- [i1]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CoRR abs/1711.09584 (2017) - 2016
- [j2]Tianshu Yu, Ruisheng Wang:
Scene parsing using graph matching on street-view data. Comput. Vis. Image Underst. 145: 70-80 (2016) - [c3]Tianshu Yu, Ruisheng Wang:
Enhancing scene parsing by transferring structures via efficient low-rank graph matching. SIGSPATIAL/GIS 2016: 22:1-22:9 - [c2]Tianshu Yu, Ruisheng Wang:
Graph matching with low-rank regularization. WACV 2016: 1-9 - 2015
- [j1]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): 1046-1058 (2015) - 2012
- [c1]Wen-cheng Cui, Tianshu Yu, Lijie Ren, Hong Shao:
Ribs segmentation based on image fusion and wavelet de-noising. BMEI 2012: 362-366
Coauthor Index
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