| Deep air learning: Interpolation, prediction, and feature analysis of fine-grained air quality Z Qi, T Wang, G Song, W Hu, X Li, Z Zhang IEEE Transactions on Knowledge and Data Engineering 30 (12), 2285-2297, 2018 | 279 | 2018 |
| Learning multiple views with orthogonal denoising autoencoders TQ Ye, T Wang, K McGuinness, Y Guo, C Gurrin MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA …, 2016 | 24 | 2016 |
| Personalized federated learning via heterogeneous modular networks T Wang, W Cheng, D Luo, W Yu, J Ni, L Tong, H Chen, X Zhang 2022 IEEE International Conference on Data Mining (ICDM), 1197-1202, 2022 | 16 | 2022 |
| User interests imbalance exploration in social recommendation: A fitness adaptation T Wang, X Jin, X Ding, X Ye Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 16 | 2014 |
| Parametric Augmentation for Time Series Contrastive Learning X Zheng, T Wang, W Cheng, A Ma, H Chen, M Sha, D Luo International Conference on Learning Representations, 2024 | 13* | 2024 |
| Protecting your llms with information bottleneck Z Liu, Z Wang, L Xu, J Wang, L Song, T Wang, C Chen, W Cheng, J Bian Annual Conference on Neural Information Processing Systems, 2024 | 9 | 2024 |
| Explaining Time Series via Contrastive and Locally Sparse Perturbations Z Liu, Y Zhang, T Wang, Z Wang, D Luo, M Du, M Wu, Y Wang, C Chen, ... International Conference on Learning Representations, 2024 | 8 | 2024 |
| Towards robust fidelity for evaluating explainability of graph neural networks X Zheng, F Shirani, T Wang, W Cheng, Z Chen, H Chen, H Wei, D Luo International Conference on Learning Representations, 2023 | 8 | 2023 |
| TimeX++: Learning Time-Series Explanations with Information Bottleneck Z Liu, T Wang, J Shi, X Zheng, Z Chen, L Song, W Dong, J Obeysekera, ... International Conference on Machine Learning, 2024 | 5 | 2024 |
| GC-Flow: A Graph-Based Flow Network for Effective Clustering T Wang, F Mirzazadeh, X Zhang, J Chen International Conference on Machine Learning, 2023 | 5 | 2023 |
| Transfer nonnegative matrix factorization for image representation T Wang, TQ Ye, C Gurrin MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA …, 2016 | 5 | 2016 |
| DyExplainer: Explainable Dynamic Graph Neural Networks T Wang, D Luo, W Cheng, H Chen, X Zhang | 2 | 2023 |
| Chiseling the Graph: An Edge-Sculpting Method for Explaining Graph Neural Networks T Wang, F Shirani, X Zheng, W Cheng, H Chen, D Luo, X Zhang | | 2024 |
| Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors T Wang, Y Chen, Z Liu, Z Chen, H Chen, X Zhang, W Cheng International Conference on Learning Representations, 2024 | | 2024 |
| Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models Z Chen, T Wang, Y Wang, M Kosinski, X Zhang, Y Fu, S Li arXiv preprint arXiv:2406.13763, 2024 | | 2024 |
| PAC Learnability under Explanation-Preserving Graph Perturbations X Zheng, F Shirani, T Wang, S Gao, W Dong, W Cheng, D Luo arXiv preprint arXiv:2402.05039, 2024 | | 2024 |
| Multi-Relevance Transfer Learning T Wang arXiv preprint arXiv:1711.03361, 2017 | | 2017 |
