Introduction

I am currently a Postdoctoral Fellow at the Visual AI Lab, The University of Hong Kong (HKU), working with Prof. Kai Han.

I received my Ph.D. degree in Software Engineering from Dalian University of Technology (DLUT) in June 2025, under the supervision of Prof. Risheng Liu (National Excellent Young Scholar). Prior to that, I conducted research at the Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province.

My research focuses on Optimization for Machine Learning, with a particular emphasis on Bilevel Optimization (BLO) and its applications in Trustworthy AI. I am dedicated to developing reliable and efficient algorithms to address complex challenges in hierarchical learning, security, and multi-modal systems.

Currently, my research interests center on the following areas:

• Optimization for Machine Learning: Methodology and analysis of Bilevel Optimization, Hyperparameter Optimization, and Neural Architecture Search (NAS).
• Trustworthy Machine Learning & Security: Adversarial Robustness, Black-box Transfer Attacks, and safety alignment in Large Multi-modal Models (LMMs).
• Intelligent Agents: Optimization frameworks for Mobile/GUI Agents and their security implications.

My research outcomes have appeared in representative journals and conferences, including IEEE TPAMI, IEEE TNNLS, NeurIPS, ICML, ECCV, CVPR, AAAI, IJCAI, ACM MM, ICMR, and ICASSP. I also serve as a reviewer for venues such as CVPR, ECCV, AAAI, and IJCAI.

Recent News

• [06/2026] New! Our paper “Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks” has been accepted by ECCV 2026.
• [06/2026] New! Our paper “SNOC: Subtle Nested Objective Configuration for Joint Ultra-Low-Light Enhancement and Super-Resolution” has been accepted by ICMR 2026.
• [05/2026] New! Our paper “Past as Prior: Reweighted Proxy Guidance for Stable Adversarial Training” has been accepted by ICASSP 2026.
• [12/2025] New! Our paper “Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions” has been accepted by IEEE TPAMI.
• [11/2024] One paper on Tri-level Learning Framework for Image Enhancement was accepted to ACM MM 2024.
• [10/2024] One paper on Dual-Stream-Modulated Learning was accepted to IEEE TNNLS.
• [09/2024] One paper titled “Collaborative Brightening and Amplification of Low-Light Imagery Via Bi-Level Adversarial Learning” was accepted to Pattern Recognition (PR).
• [08/2024] One paper on Generalized Transfer Attack with Bilevel Optimization was accepted to IJCAI 2024.
• [05/2023] One paper titled “Averaged method of multipliers for bi-level optimization without lower-level strong convexity” was accepted to ICML 2023.
• [08/2023] One paper titled “PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation” was accepted to ACM MM 2023.

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