以下论中，†表示共同第一作者（随机排名），*表示通讯作者
[1] Hanyuan Zheng†, Haozhen Zhang†, Tianshuo Chen†, Zhaogeng Liu†, Yi Chang*, Bin Gu*. Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models. Accepted by International Conference on Learning Representations (ICLR 2026). (CCF-A/CAAI-A类会议)
[2] Jia Zhang†, Yu Bai†, Hualin Zhang†, Tianshuo Chen†, Zhaogeng Liu†, Zhiqiang Xu, Yi Chang, Bin Gu*. Three Forward, One Backward: Memory-Efficient Full-Rank Fine-Tuning of Large Models via Extra Forward Passes. Accepted by International Conference on Learning Representations (ICLR 2026). (CCF-A/CAAI-A类会议)
[3] Zhaogeng Liu†, Haozhen Zhang†, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu*, Yi Chang*. Query Efficient Black-Box Visual Prompting with Subspace Learning. Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2025): 4322-4331. (CCF-A/CAAI-A类会议)
[4] Tianxing Man†, Xingchen Li†, Zhaogeng Liu†, Haozhen Zhang, Bin Gu*, Yi Chang*. Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025): 1032-1043. (CCF-A/CAAI-A类会议)
[5] Haozhen Zhang†, Zhaogeng Liu†, Bin Gu*, Yi Chang*. Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025): 22407-22415. (CCF-A/CAAI-A类会议)
[6] Zhaogeng Liu, Jielong Yang*, Xionghu Zhong, Wenwu Wang, Hechang Chen*, Yi Chang. A Novel Composite Graph Neural Network. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, 35(10): 13411-13425. (CAAI-A/中科院一区TOP期刊)
[7] Zhaogeng Liu, Feng Ji*, Jielong Yang*, Xiaofeng Cao, Muhan Zhang, Hechang Chen*, Yi Chang*. Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, 35(9): 11720-11733. (CAAI-A/中科院一区TOP期刊)
[8] Zhaogeng Liu, Jielong Yang*, Li Wang, Yi Chang*. A Novel Relation Aware Wrapper Method for Feature Selection. Pattern Recognition, 2023, 140: 109566. (中科院一区TOP/CCF-B类期刊)
[9] Haotian Chi, Zhaogeng Liu, Xing Chen, Bohao Qu, Jifeng Hu, Yuan Jiang, Hechang Chen*, Yi Chang. State Transition Difference Prediction for Deep Reinforcement Learning. Pattern Recognition, 2025: 112824. (中科院一区TOP/CCF-B类期刊)
[10] Shutong Zhang, Xing Chen, Zhaogeng Liu, Hechang Chen, Yi Chang*. HiPPO: Enhancing Proximal Policy Optimization with Highlight Replay. Pattern Recognition, 2025, 162: 111408. (中科院一区TOP/CCF-B类期刊)
[11] 刘兆赓，李占山，王丽，王涛，于海鸿*. 森林优化特征选择算法的增强与扩展. 软件学报, 2020,31(5): 1511-1524. (CCF-T1类/清华大学推荐B类期刊)
[12] 李占山，刘兆赓*. 基于XGBoost的特征选择算法. 通信学报, 2019,40(10): 101-108. (CCF-T1类/清华大学推荐B类期刊)
