The research for tamper forensics on MPEG-2 video based on compressed sensing. - Yan Zhou; Fanzhi Zeng; Guang-Fa Yang (ICMLC, 2012)

A gradient descent sparse adaptive matching pursuit algorithm based on compressive sensing. - Yan Zhou; Fanzhi Zeng; Yan-Chun Gu (ICMLC, 2016)

Hierarchical Visual Perception and Two-Dimensional Compressive Sensing for Effective Content-Based Color Image Retrieval. - Yan Zhou; Fanzhi Zeng; Huimin Zhao 001; Paul Murray; Jinchang Ren (Cogn. Comput., 2016)

基于压缩感知的视频双水印算法研究 (Double Video Watermarking Algorithm Based on Compressive Sensing). - Yan Zhou; Fanzhi Zeng; Huimin Zhao 001 (计算机科学, 2016)

基于多特征融合的三维模型检索算法 (3D Model Retrieval Algorithm Based on Multi Feature Fusion). - Yan Zhou; Fanzhi Zeng; Yuewu Yang (计算机科学, 2016)

Improved Three-Dimensional Model Feature of Non-rigid Based on HKS. - Fanzhi Zeng; Jiechang Qian; Yan Zhou; Changqing Yuan; Chen Wu (SmartCom, 2017)

An Object Detection Algorithm for Deep Learning Based on Batch Normalization. - Yan Zhou; Changqing Yuan; Fanzhi Zeng; Jiechang Qian; Chen Wu (SmartCom, 2017)

2D compressive sensing and multi-feature fusion for effective 3D shape retrieval. - Yan Zhou; Fanzhi Zeng (Inf. Sci., 2017)

FVCNN: Fusion View Convolutional Neural Networks for Non-rigid 3D Shape Classification and Retrieval. - Yan Zhou; Fanzhi Zeng; Jiechang Qian; Yang Xiang; Zhijian Feng (ICIG (1), 2019)

3D shape classification and retrieval based on polar view. - Yan Zhou; Fanzhi Zeng; Jiechang Qian; Xintong Han (Inf. Sci., 2019)

基于无监督学习的二维工程CAD模型端到端检索算法 (End-to-End Retrieval Algorithm of Two-dimensional Engineering CAD Model Based on Unsupervised Learning). - Fanzhi Zeng; Yan Zhou; Jiahao Yu; Yue Luo; Tengda Qiu; Jiechang Qian (计算机科学, 2019)

基于深度学习的三维形状特征提取方法 (3D Shape Feature Extraction Method Based on Deep Learning). - Yan Zhou; Fanzhi Zeng; Chen Wu; Yue Luo; Ziqin Liu (计算机科学, 2019)

AI Alignment: A Comprehensive Survey. - Jiaming Ji; Tianyi Qiu; Boyuan Chen 008; Borong Zhang; Hantao Lou; Kaile Wang; Yawen Duan; Zhonghao He; Jiayi Zhou; Zhaowei Zhang; Fanzhi Zeng; Kwan Yee Ng; et al. (CoRR, 2023)

EFSCNN: Encoded Feature Sphere Convolution Neural Network for fast non-rigid 3D models classification and retrieval. - Yan Zhou; Zhaolong Dang; Huaidong Zhang; Xuemiao Xu; Jing Qin 001; Wenjun Li; Fanzhi Zeng; Xiangyu Liu (Comput. Vis. Image Underst., 2023)

Fine-Tuned Reasoning for Writing Style Analysis. - Xiaofeng Liang; Fanzhi Zeng; Yan Zhou; Xiangyu Liu; Yuexia Zhou (CLEF (Working Notes), 2024)

Voight-Kampff Generative AI Authorship Verification Based on T5. - Zhaojian Lin; Fanzhi Zeng; Yan Zhou; Xiangyu Liu; Yuexia Zhou (CLEF (Working Notes), 2024)

Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. - Tianyi Qiu; Fanzhi Zeng; Jiaming Ji; Dong Yan; Kaile Wang; Jiayi Zhou; Han Yang; Josef Dai; Xuehai Pan; Yaodong Yang 001 (CoRR, 2024)

Adaptive multi-text union for stable text-to-image synthesis learning. - Yan Zhou; Jiechang Qian; Huaidong Zhang; Xuemiao Xu; Huajie Sun; Fanzhi Zeng; Yuexia Zhou (Pattern Recognit., 2024)

Reward Generalization in RLHF: A Topological Perspective. - Tianyi Alex Qiu; Fanzhi Zeng; Jiaming Ji; Dong Yan; Kaile Wang; Jiayi Zhou; Yang Han; Josef Dai; Xuehai Pan; Yaodong Yang 001 (ACL (Findings), 2025)

Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models. - Femi Bello; Anubrata Das 001; Fanzhi Zeng; Fangcong Yin; Liu Leqi (CoRR, 2025)

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems. - Fanzhi Zeng; Siqi Wang; Chuzhao Zhu; Li Li (CoRR, 2025)