Zhaogeng Liu

According to our database, Zhaogeng Liu authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

State transition difference prediction for deep reinforcement learning.

Haotian Chi, Zhaogeng Liu, Xing Chen, Bohao Qu, Jifeng Hu, Yuan Jiang, Hechang Chen, Yi Chang

Pattern Recognit., 2026

2025

Decision Flow Policy Optimization.

Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao

CoRR, May, 2025

HiPPO: Enhancing proximal policy optimization with highlight replay.

Shutong Zhang, Xing Chen, Zhaogeng Liu, Hechang Chen, Yi Chang

Pattern Recognit., 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, Yi Chang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Query Efficient Black-Box Visual Prompting with Subspace Learning.

Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization.

Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Novel Composite Graph Neural Network.

Zhaogeng Liu, Jielong Yang, Xionghu Zhong, Wenwu Wang, Hechang Chen, Yi Chang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks.

Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang

IEEE Trans. Neural Networks Learn. Syst., September, 2024

2023

A novel relation aware wrapper method for feature selection.

Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang

Pattern Recognit., August, 2023

Careful at Estimation and Bold at Exploration.

Xing Chen, Yijun Liu, Zhaogeng Liu, Hechang Chen, Hengshuai Yao, Yi Chang

CoRR, 2023

2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2020

OEbBOA: A Novel Improved Binary Butterfly Optimization Approaches With Various Strategies for Feature Selection.

Bo Zhang, Xinkai Yang, Biao Hu, Zhaogeng Liu, Zhanshan Li

IEEE Access, 2020