| Jul. 2026 | Our paper “Towards Reliability of Parameter-free Optimization” has been accepted by SDM 2026. |
| Jun. 2025 | I joined Samsung Electronics America as a Machine Learning Scientist in June 2025. |
| Apr. 2025 | Our paper on fast online adaptive neural MPC via meta-learning was accepted to MECC 2025. |
| Apr. 2025 | Our paper on dynamic uncertainty ranking for long-tail knowledge in LLMs was published at NAACL 2025. |
| May. 2024 | Our paper on safe and robust watermark injection with a single out-of-distribution image was published at ICLR 2024. |
| May. 2024 | I joined GE Healthcare as a research intern from May to August 2024, working with Dr. Danica Xiao on enhancing long-tail knowledge of LLMs for question answering in healthcare and other domains. |
| Feb. 2024 | Our paper on global model selection for semi-supervised support vector machines via solution paths was published in IEEE Transactions on Neural Networks and Learning Systems (TNNLS). |
| Dec. 2023 | Our paper on tracking IP infringers in accountable federated learning was presented at the NeurIPS 2023 Workshop on Regulatable ML. |
| Jul. 2023 | Our paper on revisiting data-free knowledge distillation with poisoned teachers was published at ICML 2023. |
| May. 2023 | Our paper on turning federated heterogeneity into a blessing for out-of-distribution detection was presented as a spotlight at ICLR 2023. |
| Nov. 2022 | Our paper on robust unsupervised domain adaptation from a corrupted source was published at ICDM 2022. |
| Aug. 2021 | Our paper on federated adversarial debiasing for fair and transferable representations was published at KDD 2021. |
| Aug. 2021 | Our paper on a kernel path algorithm for general parametric quadratic programming was published in Pattern Recognition. |
| May. 2021 | I joined JD Explore Academy as a research intern from May to August 2021, working with Dr. Fengxiang He on domain generalization for audio data. |
| Aug. 2020 | I joined Illidan Lab in August 2020. |
| Jul. 2019 | Our paper on incremental semi-supervised support vector learning was published at KDD 2019. |
| Jul. 2019 | I joined the Data Science Lab at the University of Pittsburgh as a student intern from July to August 2019, working with Dr. Bin Gu and Dr. Heng Huang on model selection for semi-supervised support vector machines via solution path algorithms. |