Tianchun Wang

According to our database, Tianchun Wang authored at least 20 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Diversified Sampling Improves Scaling LLM inference.

Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng

CoRR, February, 2025

DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions.

Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang

ACM Trans. Knowl. Discov. Data, 2025

Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors.

Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction.

Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.

Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li

CoRR, 2024

PAC Learnability under Explanation-Preserving Graph Perturbations.

Xu Zheng, Farhad Shirani, Tianchun Wang, Shouwei Gao, Wenqian Dong, Wei Cheng, Dongsheng Luo

CoRR, 2024

Protecting Your LLMs with Information Bottleneck.

Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TimeX++: Learning Time-Series Explanations with Information Bottleneck.

Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Parametric Augmentation for Time Series Contrastive Learning.

Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.

Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Explaining Time Series via Contrastive and Locally Sparse Perturbations.

Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

DyExplainer: Explainable Dynamic Graph Neural Networks.

Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang

CoRR, 2023

GC-Flow: A Graph-Based Flow Network for Effective Clustering.

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen

Proceedings of the International Conference on Machine Learning, 2023

Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.

Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

2022

Personalized Federated Learning via Heterogeneous Modular Networks.

Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang

Proceedings of the IEEE International Conference on Data Mining, 2022

2018

Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality.

Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, Zhongfei Zhang

IEEE Trans. Knowl. Data Eng., 2018

2017

Multi-Relevance Transfer Learning.

Tianchun Wang

CoRR, 2017

2016

Learning Multiple Views with Orthogonal Denoising Autoencoders.

Tengqi Ye, Tianchun Wang, Kevin McGuinness, Yu Guo, Cathal Gurrin

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Transfer Nonnegative Matrix Factorization for Image Representation.

Tianchun Wang, Tengqi Ye, Cathal Gurrin

Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

2014

User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation.

Tianchun Wang, Xiaoming Jin, Xuetao Ding, Xiaojun Ye

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014