| Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation H Wang, H Zhao, B Li International Conference on Machine Learning (ICML), 2021 | 83 | 2021 |
| Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning H Wang, Y Wang, R Sun, B Li Computer Vision and Pattern Recognition (CVPR), 2022 | 47* | 2022 |
| Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond H Wang, B Li, H Zhao International Conference on Machine Learning (ICML) 162, 22784-22801, 2022 | 28 | 2022 |
| SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding H Wang, PKA Vasu, F Faghri, R Vemulapalli, M Farajtabar, S Mehta, ... arXiv preprint arXiv:2310.15308, 2023 | 13 | 2023 |
| Provable Domain Generalization via Invariant-Feature Subspace Recovery H Wang, H Si, B Li, H Zhao International Conference on Machine Learning (ICML), 2022 | 13 | 2022 |
| Learning positive functions with pseudo mirror descent Y Yang, H Wang, N Kiyavash, N He Advances in Neural Information Processing Systems (NeurIPS), 2019 | 11 | 2019 |
| Speciality vs Generality: An Empirical Study on Catastrophic Forgetting in Fine-tuning Foundation Models Y Lin, L Tan, H Lin, Z Zheng, R Pi, J Zhang, S Diao, H Wang, H Zhao, ... arXiv preprint arXiv:2309.06256, 2023 | 9 | 2023 |
| Predicting Properties of Quantum Systems with Conditional Generative Models H Wang, M Weber, J Izaac, CYY Lin arXiv preprint arXiv:2211.16943, 2022 | 6 | 2022 |
| Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation System M Ye, R Jiang, H Wang, D Choudhary, X Du, B Bhushanam, A Mokhtari, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2022 | 4 | 2022 |
| Invariant Feature Subspace Recovery for Multi-Class Classification G Balasubramaniam, H Wang, H Zhao NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 2 | 2022 |
| Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards H Wang, Y Lin, W Xiong, R Yang, S Diao, S Qiu, H Zhao, T Zhang arXiv preprint arXiv:2402.18571, 2024 | 1 | 2024 |
| Gradual Domain Adaptation: Theory and Algorithms Y He, H Wang, B Li, H Zhao arXiv preprint arXiv:2310.13852, 2023 | 1 | 2023 |
| Enhancing Compositional Generalization via Compositional Feature Alignment H Wang, H Si, H Shao, H Zhao arXiv preprint arXiv:2402.02851, 2024 | | 2024 |
| Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms H Wang, G Balasubramaniam, H Si, B Li, H Zhao arXiv preprint arXiv:2311.00966, 2023 | | 2023 |
| Generative Gradual Domain Adaptation with Optimal Transport Y He, H Wang, H Zhao | | 2022 |
Han ZhaoAssistant Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
