PhD, AI Thrust, HKUST-GZ. 2025 Fall – present (VLA, efficient 3D scene graph; TMLR (1), ECCV (1))
PhD, AI Thrust, HKUST-GZ. 2023 Fall – present (LLM interpretability, continual learning; ICLR (2), TKDE (1), NeurIPS (1), ICML 2026 Spotlight)
PhD, AI Thrust, HKUST-GZ. 2023 Fall – present (LLM interpretability, uncertainty quantification; ICLR (1), ICML 2026 Oral)
PhD, AI Thrust, HKUST-GZ. 2024 Fall (audio + embodied AI, robotics and safe RL; AAAI (1), ICML 2026 Poster)
PhD, AI Thrust, HKUST-GZ. 2024 Fall (LLM steering vector, responsible LLM, RAG; ACL (1), AAAI (1), COLING (1))
PhD, AI Thrust, HKUST-GZ. 2024 Fall (generative models) — co-advised with Hui Xiong
PhD, AI Thrust, HKUST-GZ. 2024 Fall (distributional RL; IROS (1), IJCAI (1)) — co-advised with Hui Xiong
HKUST-GZ. 2025 Fall – present (steering LLM)
HKUST-GZ. 2025 Fall – present (VLM reasoning)
HKUST-GZ. 2024 Fall – present (efficient LLM fine-tuning; AAAI (1))
HKUST-GZ. 2026 Fall – present (BioHermes, small object detection)
HKUST-GZ. 2026 Fall – present (topological data analysis for medical images)
Class of 2025
Class of 2025 (efficient 3D scene graph; advised by Yue Chang)
Class of 2025 (audio + embodied AI; advised by Rufeng Chen)
Class of 2025 (BioHermes; advised by Wanying Tan)
Class of 2025 (BioHermes; advised by Wanying Tan)
Class of 2024 (LLM interpretability; advised by Yazheng Liu)
Class of 2023 (LLM interpretability; advised by Rui Xu)
Bachelor, Jilin University. 2025 Summer – 2026 Apr (trustworthy embodied AI)
Bachelor, UIUC. 2025 Fall – 2026 Mar (knowledge-intensive LLM)
MPhil, HKUST-GZ. 2023 Fall – 2025 Spring (3D reconstruction from brain data)
MPhil, HKUST-GZ. 2023 Fall – 2025 Spring (multi-modal EEG data segmentation)
MPhil, HKUST-GZ. 2023 Fall – 2025 Spring (responsible LLM)
MPhil, HKUST-GZ. 2023 Fall – 2025 Spring (causal models for medicine; CCF BigData (1))
MPhil, HKUST-GZ. 2023 Fall – 2025 Spring (RL for EV station planning)
RA, Southwest University. 2024 Spring (causal time series data mining)
RA, Guangzhou Medical University. 2024 Spring (addressing out-of-distribution medical images)
RA, HKUST-GZ. 2024 Spring – 2024 Summer (out-of-distribution medical images)
PhD, CSE, Lehigh. 2018 Summer – 2023 Spring (explainable graphical models; 4 accepted; 2 in preparation)
PhD, CSE, Lehigh. 2019 Fall – 2025 (co-advised with Brian Davison; fair graphical models; CIKM (1); mastered out)
Master, Macau Polytechnic Institute. 2023 Fall – present (project: LLM)
Master, CS, Illinois Institute of Technology. 2019 Summer
Master, CSE, Lehigh. 2018 Summer – 2019 Spring
Master, CSE, Lehigh. 2018 Summer – 2018 Fall
Master, CSE, Lehigh. 2018 Fall
Master, CSE, Lehigh. 2018 Fall (Now PhD at UNC Charlotte)
Undergraduate, CSE, Ohio-State University. 2021 Summer (constrained multi-objective optimization)
Undergraduate, CSE, Lehigh. 2022 Spring (text-based explainable spam detection)
Undergraduate, CSE, Lehigh. 2022 Spring (text-based explainable spam detection)
Undergraduate, CSE, Lehigh. 2022 Spring (text-based explainable spam detection)
Undergraduate, CSE, Lehigh. 2022 Spring (text-based explainable spam detection)
Undergraduate, CSE, Lehigh. 2020 Summer – 2021 Summer (multi-objective optimization, meta-learning)
Undergraduate, CSE, Lehigh. 2021 Spring – 2021 Fall (multi-modal graph neural networks)
Undergraduate, CS, UC San Francisco. 2020 Summer (multi-objective optimization)
Undergraduate, CSE, Lehigh. 2020 Summer – 2021 Summer (multi-objective optimization)
Undergraduate, Psychology, Lehigh. 2020 Summer (explainable spam detection)
Undergraduate, CSE, Lehigh. 2020 Summer (explainable spam detection)
Undergraduate, CSE, Lehigh. 2020 Summer (explainable spam detection)
Undergraduate, CSE, Lehigh. 2020 Summer (explainable spam detection)
Undergraduate, CSE, Lehigh. 2020 Summer (explainable spam detection)
Undergraduate, CSE, Lehigh. 2019 Summer – 2020 Spring (bandit for crowdsourcing; paper: 1 submitted)
Undergraduate, De Anza College, California → UC Berkeley. 2019 Summer
Undergraduate, CS, Bloomsburg University. 2019 Summer (REU at CSE Lehigh)
Undergraduate, CSE, Lehigh. 2019 Summer (explainable graphical models)
Undergraduate, CSE, Lehigh. 2019 Summer (bandit for crowdsourcing)
Undergraduate, CSE, Lehigh → Master NYU. 2019 Summer, 2020 Fall (bandit for crowdsourcing; adversarial fair ML)
Undergraduate, Lehigh → Master CMU. 2018 Summer – 2020 Spring (bandit for crowdsourcing; paper: 1 submitted)
Undergraduate, CSE, Lehigh. 2019 Summer (Gaussian process bandits)
Undergraduate, CSE, De Anza College, California. 2017 Summer
Undergraduate, CSE, Lehigh. 2017 Fall – 2018 Spring (Now at Cisco)
Undergraduate, CSE, Lehigh. 2017 Fall
Undergraduate, CS, UC Berkeley. 2017 Summer (Now at UC Berkeley)
Undergraduate, CSE, Lehigh. 2016 Fall – 2017 Spring (Now at Google)