Adaptively Shaping Reinforcement Learning Agents via Human Reward. - Chao Yu 004; Dongxu Wang; Tianpei Yang; Wenxuan Zhu; Yuchen Li 006; Hongwei Ge; Jiankang Ren (PRICAI (1), 2018)

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. - Chao Yu 004; Tianpei Yang; Wenxuan Zhu; Dongxu Wang; Guangliang Li (CoRR, 2018)

Interactive RL via Online Human Demonstrations. - Chao Yu 004; Tianpei Yang; Wenxuan Zhu; Yinzhao Dong; Guangliang Li (AAMAS, 2020)

A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling. - Wenxuan Zhu; Yaqing Hou; Qiang Zhang 008; Hongwei Ge; Xin Yang 011; Liang Feng 001; Xinghua Qu (IJCNN, 2020)

Pheromone Based Independent Reinforcement Learning for Multiagent Navigation. - Kaige Zhang; Yaqing Hou; Hua Yu 006; Wenxuan Zhu; Liang Feng 001; Qiang Zhang 008 (NCAA, 2021)

Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems. - Yaqing Hou; Mingyang Sun; Wenxuan Zhu; Yifeng Zeng; Haiyin Piao; Xuefeng Chen 001; Qiang Zhang 008 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Causal Deep Reinforcement Learning Using Observational Data. - Wenxuan Zhu; Chao Yu 004; Qiang Zhang 008 (IJCAI, 2023)

Edge-aware Plug-and-play Scheme for Semantic Segmentation. - Jianye Yi; Xiaopin Zhong; Weixiang Liu; Wenxuan Zhu; Zongze Wu 001; Yuanlong Deng (CoRR, 2023)

G-SAM: A Robust One-Shot Keypoint Detection Framework for PnP Based Robot Pose Estimation. - Xiaopin Zhong; Wenxuan Zhu; Weixiang Liu; Jianye Yi; Chengxiang Liu; Zongze Wu 001 (J. Intell. Robotic Syst., 2023)

Recent Study Advances in Flexible Sensors Based on Polyimides. - Tianyong Zhang; Yamei Chai; Suisui Wang; Jianing Yu; Shuang Jiang; Wenxuan Zhu; Zihao Fang; Bin Li (Sensors, 2023)

Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection. - Ke Li 024; Di Wang 011; Zhangyuan Hu; Wenxuan Zhu; Shaofeng Li; Quan Wang 006 (CVPR, 2024)

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks. - Jinjie Mai; Wenxuan Zhu; Sara Rojas 001; Jesus Zarzar; Abdullah Hamdi; Guocheng Qian; Bing Li 024; Silvio Giancola; Bernard Ghanem (ECCV (12), 2024)

Transferable Physical Adversarial Patch Attack for Remote Sensing Object Detection. - Di Wang 011; Wenxuan Zhu; Ke Li 024; Xiao Gao; Pengfei Yang 001 (IGARSS, 2024)

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. - Shiyu Xia; Wenxuan Zhu; Xu Yang 021; Xin Geng 001 (IJCAI, 2024)

Vivid-ZOO: Multi-View Video Generation with Diffusion Model. - Bing Li 024; Cheng Zheng 002; Wenxuan Zhu; Jinjie Mai; Biao Zhang 005; Peter Wonka; Bernard Ghanem (NeurIPS, 2024)

A fragmentation-aware redundancy elimination scheme for inline backup systems. - Yucheng Zhang; Wenxuan Zhu; Dan Feng 001; Wei Huang 013; Nan Jiang 013; Meng Chen; Renxin Xia (Future Gener. Comput. Syst., 2024)

DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation. - Ke Li 024; Di Wang 011; Gang Liu 006; Wenxuan Zhu; Haodi Zhong; Quan Wang 006 (Neural Networks, 2024)

GR-GAN: A unified adversarial framework for single image glare removal and denoising. - Cong Niu; Ke Li 024; Di Wang 011; Wenxuan Zhu; Haojie Xu; Jinhui Dong (Pattern Recognit., 2024)

Physical Adversarial Patch Attack for Optical Fine-Grained Aircraft Recognition. - Ke Li 024; Di Wang 011; Wenxuan Zhu; Shaofeng Li; Quan Wang 006; Xinbo Gao 001 (IEEE Trans. Inf. Forensics Secur., 2025)

4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding. - Wenxuan Zhu; Bing Li 024; Cheng Zheng 002; Jinjie Mai; Jun Chen; Letian Jiang; Abdullah Hamdi; Sara Rojas 001; Chia-Wen Lin; Mohamed Elhoseiny; Bernard Ghanem (CoRR, 2025)

Can Video Diffusion Model Reconstruct 4D Geometry? - Jinjie Mai; Wenxuan Zhu; Haozhe Liu; Bing Li 024; Cheng Zheng 002; Jürgen Schmidhuber; Bernard Ghanem (CoRR, 2025)

Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation. - Nan Jiang; Wenxuan Zhu; Xu Han; Weiqiang Huang; Yumeng Sun (CoRR, 2025)

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks. - Lu Dai; Wenxuan Zhu; Xuehui Quan; Renzi Meng; Sheng Chai; Yichen Wang (CoRR, 2025)

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems. - Wenxuan Zhu; Qiyuan Wu; Tengda Tang; Renzi Meng; Sheng Chai; Xuehui Quan (CoRR, 2025)

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures. - Yang Wang; Wenxuan Zhu; Xuehui Quan; Heyi Wang; Chang Liu; Qiyuan Wu (CoRR, 2025)