| May, 2026 | Four papers accepted at ICML 2026! “Discretized Density-Guided Source-Free Domain Adaptation for Regression” (Spotlight, acceptance rate ≈ 2.2%), “FUSE: Full-spectrum Unlearnable Examples via Spectral Equalization”, “Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates”, and “Attention with Routed-Memory for Learnable Sparse Control”. Congratulations to all collaborators! |
| Mar, 2026 | Honored to receive the Fields Postdoctoral Fellowship Award from Western University (CAD 25,000), and officially started as a Postdoctoral Research Fellow in the Machine Learning group at the University of Western Ontario. |
| Feb, 2026 | Successfully defended my Ph.D. thesis, “Trustworthy AI Under Distribution Shifts: Enhancing Generalization and Fairness in Deep Learning.” Grateful to my advisors Prof. Boyu Wang and Prof. Charles Ling for their guidance throughout this journey! |
| Jan, 2026 | Our paper, “When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining”, has been accepted at ICLR 2026. Congratulations to Zhihao! |
| Oct, 2025 | Started a research internship at Damo Academy, Alibaba Group, working on large-scale time-series foundation models. |
| Sep, 2025 | Our paper, “Versatile Transferable Unlearnable Example Generator”, has been accepted at NeurIPS 2025. Congratulations to Zhihao and Jiale! |
| May, 2025 | Our paper, “Homophily Enhanced Graph Domain Adaptation”, has been accepted at ICML 2025. Congratulations to Ruiyi! |
| Jan, 2025 | Our paper, “Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice.”, has been accepted to IEEE TPAMI. Congratulations to Li! |
| Jan, 2025 | Our papers, “Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control” and “ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.”, have been accepted at ICLR 2025. Congratulations to Hui and Qiuhao! |
| Dec, 2024 | Our paper, Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression, has been accepted for an oral presentation at AAAI 2025. Congratulations to Ruizhi! |
| May, 2024 | Our paper, “Intersectional Unfairness Discovery”, was accepted at ICML 2024. |
| Dec, 2023 | Our paper, “Generalizing across Temporal Domains with Koopman Operators”, was accepted at AAAI 2024. |
| May, 2023 | Our paper, “Label Shift Conditioned Hybrid Querying for Deep Active Learning”, has been accepted at Knowledge-Based Systems. |
| May, 2023 | Attending the ICLR conference onsite in Rwanda and delivered a spotlight presentation!  |
| Apr, 2023 | Our paper, “Towards More General Loss and Setting in Unsupervised Domain Adaptation”, was accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE). |
| Jan, 2023 | Our paper, “When Source-Free Domain Adaptation Meets Learning with Noisy Labels”, was accepted at ICLR 2024. |
| Jan, 2023 | Our paper, “Gap Minimization for Knowledge Sharing and Transfer”, was accepted at Journal of Machine Learning Research (JMLR). |
| Sep, 2022 | Our paper, “On Learning Fairness and Accuracy on Multiple Subgroups”, was accepted at NeurIPS 2022. |
| Sep, 2021 | Begin PhD studies at University of Western Ontario (Western University). |
| May, 2021 | Our paper, “External Features Enriched Model for Biomedical Question Answering”, was accepted at BMC Bioinformatics. |