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Tianchun Wang
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2020 – today
- 2024
- [c10]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR 2024 - [c9]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR 2024 - [c8]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. ICLR 2024 - [c7]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML 2024 - [i13]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR abs/2401.08552 (2024) - [i12]Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo:
PAC Learnability under Explanation-Preserving Graph Perturbations. CoRR abs/2402.05039 (2024) - [i11]Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo:
Parametric Augmentation for Time Series Contrastive Learning. CoRR abs/2402.10434 (2024) - [i10]Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian:
Protecting Your LLMs with Information Bottleneck. CoRR abs/2404.13968 (2024) - [i9]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR abs/2405.09308 (2024) - [i8]Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li:
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR abs/2406.13763 (2024) - [i7]Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng:
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. CoRR abs/2410.19230 (2024) - 2023
- [c6]Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems. EuroS&P Workshops 2023: 363-369 - [c5]Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen:
GC-Flow: A Graph-Based Flow Network for Effective Clustering. ICML 2023: 36157-36173 - [i6]Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen:
GC-Flow: A Graph-Based Flow Network for Effective Clustering. CoRR abs/2305.17284 (2023) - [i5]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR abs/2310.01820 (2023) - [i4]Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang:
DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR abs/2310.16375 (2023) - 2022
- [c4]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM 2022: 1197-1202 - [i3]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022)
2010 – 2019
- 2018
- [j1]Zhongang Qi
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality. IEEE Trans. Knowl. Data Eng. 30(12): 2285-2297 (2018) - 2017
- [i2]Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang:
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality. CoRR abs/1711.00939 (2017) - [i1]Tianchun Wang:
Multi-Relevance Transfer Learning. CoRR abs/1711.03361 (2017) - 2016
- [c3]Tianchun Wang, Tengqi Ye, Cathal Gurrin
Transfer Nonnegative Matrix Factorization for Image Representation. MMM (2) 2016: 3-14 - [c2]Tengqi Ye, Tianchun Wang, Kevin McGuinness
Learning Multiple Views with Orthogonal Denoising Autoencoders. MMM (1) 2016: 313-324 - 2014
- [c1]Tianchun Wang, Xiaoming Jin, Xuetao Ding, Xiaojun Ye:
User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation. CIKM 2014: 281-290
Coauthor Index
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