A GPU -accelerated Deep Stereo- LiDAR Fusion for Real-time High-precision Dense Depth Sensing. - Haitao Meng; Chonghao Zhong; Jianfeng Gu; Gang Chen 023 (DATE, 2021)

Online Sparse Beamforming in C-RAN: A Deep Reinforcement Learning Approach. - Chonghao Zhong; Kun Guo 002; Mingxiong Zhao 001 (WCNC, 2021)

Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks. - Wenwei Lin; Chonghao Zhong; Xunpei Sun; Haitao Meng; Gang Chen 023; Biao Hu 001; Zonghua Gu 001 (ICTAI, 2023)

FastFusion: Deep stereo-LiDAR fusion for real-time high-precision dense depth sensing. - Haitao Meng; Changcai Li; Chonghao Zhong; Jianfeng Gu; Gang Chen 023; Alois Knoll (J. Field Robotics, 2023)

TeX-NeRF: Neural Radiance Fields from Pseudo-TeX Vision. - Chonghao Zhong; Chao Xu (CoRR, 2024)

Learning Monocular Depth from Events via Egomotion Compensation. - Haitao Meng; Chonghao Zhong; Sheng Tang; Lian JunJia; Wenwei Lin; Zhenshan Bing; Yi Chang 002; Gang Chen 023; Alois Knoll (CoRR, 2024)

Infrared Monocular Depth Estimation Based on Radiation Field Detail Enhancement. - Rihua Hao; Chao Xu 019; Chonghao Zhong (IEEE Access, 2025)

Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding. - Weiqing Xiao; Hao Huang; Chonghao Zhong; Yujie Lin; Nan Wang; Xiaoxue Chen; Zhaoxi Chen 009; Saining Zhang; Shuocheng Yang; Pierre Merriaux; Lei Lei; Hao Zhao 002 (CoRR, 2025)