OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches With Various Strategies for Feature Selection. - Bo Zhang 079; Xinkai Yang; Biao Hu 004; Zhaogeng Liu; Zhanshan Li (IEEE Access, 2020)

Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and A Generic Feature Extraction Framework. - Shaokai Wu; Zhaogeng Liu; Wencheng Pei; Jianbo Hong; Zhanshan Li (CVPR Workshops, 2022)

Careful at Estimation and Bold at Exploration. - Xing Chen; Yijun Liu; Zhaogeng Liu; Hechang Chen; Hengshuai Yao; Yi Chang 001 (CoRR, 2023)

A novel relation aware wrapper method for feature selection. - Zhaogeng Liu; Jielong Yang; Li Wang; Yi Chang 001 (Pattern Recognit., 2023)

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. - Zhaogeng Liu; Feng Ji; Jielong Yang; Xiaofeng Cao 002; Muhan Zhang; Hechang Chen; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Composite Graph Neural Network. - Zhaogeng Liu; Jielong Yang; Xionghu Zhong; Wenwu Wang 001; Hechang Chen; Yi Chang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. - Haozhen Zhang; Zhaogeng Liu; Bin Gu 001; Yi Chang 001 (AAAI, 2025)

Query Efficient Black-Box Visual Prompting with Subspace Learning. - Zhaogeng Liu; Haozhen Zhang; Hualin Zhang; Xingchen Li; Wanli Shi; Bin Gu 001; Yi Chang 001 (CVPR, 2025)

Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces. - Tianxing Man; Xingchen Li; Zhaogeng Liu; Haozhen Zhang; Bin Gu 001; Yi Chang 001 (KDD (1), 2025)

HiPPO: Enhancing proximal policy optimization with highlight replay. - Shutong Zhang; Xing Chen; Zhaogeng Liu; Hechang Chen; Yi Chang 001 (Pattern Recognit., 2025)

Decision Flow Policy Optimization. - Jifeng Hu; Sili Huang; Siyuan Guo; Zhaogeng Liu; Li Shen 008; Lichao Sun 001; Hechang Chen; Yi Chang 001; Dacheng Tao (CoRR, 2025)