Tianchun Wang

31 papers A* 8A 1B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction.
CoRR
Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar
2025 — conf
DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction.
ACL (Findings)
Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar
2025 J jnl
Diversified Sampling Improves Scaling LLM inference.
CoRR
Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng
2025 J jnl
DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions.
ACM Trans. Knowl. Discov. Data
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2025 A* conf
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.
ICLR
Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2025 B conf
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.
IJCNN
Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
2024 A* conf
Explaining Time Series via Contrastive and Locally Sparse Perturbations.
ICLR
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024 J jnl
Explaining Time Series via Contrastive and Locally Sparse Perturbations.
CoRR
Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024 J jnl
Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.
CoRR
Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2024 J jnl
PAC Learnability under Explanation-Preserving Graph Perturbations.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo
2024 A* conf
Parametric Augmentation for Time Series Contrastive Learning.
ICLR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 J jnl
Parametric Augmentation for Time Series Contrastive Learning.
CoRR
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
2024 A* conf
Protecting Your LLMs with Information Bottleneck.
NeurIPS
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024 J jnl
Protecting Your LLMs with Information Bottleneck.
CoRR
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
2024 J jnl
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.
CoRR
Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
2024 A* conf
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
ICML
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024 J jnl
TimeX++: Learning Time-Series Explanations with Information Bottleneck.
CoRR
Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo
2024 A* conf
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
ICLR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 J jnl
DyExplainer: Explainable Dynamic Graph Neural Networks.
CoRR
Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2023 A* conf
GC-Flow: A Graph-Based Flow Network for Effective Clustering.
ICML
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
2023 J jnl
GC-Flow: A Graph-Based Flow Network for Effective Clustering.
CoRR
Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
2023 J jnl
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.
CoRR
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
2023 — conf
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.
EuroS&P Workshops
Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo
2022 A* conf
Personalized Federated Learning via Heterogeneous Modular Networks.
ICDM
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 J jnl
Personalized Federated Learning via Heterogeneous Modular Networks.
CoRR
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2018 J jnl
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality.
IEEE Trans. Knowl. Data Eng.
Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang
2017 J jnl
Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality.
CoRR
Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang
2017 J jnl
Multi-Relevance Transfer Learning.
CoRR
Tianchun Wang
2016 — conf
Learning Multiple Views with Orthogonal Denoising Autoencoders.
MMM (1)
TengQi Ye, Tianchun Wang, Kevin McGuinness, Yu Guo, Cathal Gurrin
2016 — conf
Transfer Nonnegative Matrix Factorization for Image Representation.
MMM (2)
Tianchun Wang, TengQi Ye, Cathal Gurrin
2014 A conf
User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation.
CIKM
Tianchun Wang, Xiaoming Jin, Xuetao Ding, Xiaojun Ye