Chonghao Zhong

According to our database, Chonghao Zhong authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

TideGS: Scalable Training of Over One Billion 3D Gaussian Splatting Primitives via Out-of-Core Optimization.

Chonghao Zhong, Linfeng Shi, Hua Chen, Tiecheng Sun, Hao Zhao, Binhang Yuan, Chaojian Li

CoRR, May, 2026

Rotation-invariant representation learning by sector convolution neural networks.

Wenwei Lin, Xunpei Sun, Chonghao Zhong, Haitao Meng, Gang Chen, Bingxian Zhang, Zonghua Gu

Pattern Recognit., 2026

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, Saining Zhang, Shuocheng Yang, Pierre Merriaux, Lei Lei, Hao Zhao

CoRR, June, 2025

Infrared Monocular Depth Estimation Based on Radiation Field Detail Enhancement.

Rihua Hao, Chao Xu, Chonghao Zhong

IEEE Access, 2025

TeX-NeRF: Neural Radiance Fields for Novel HADAR View Synthesis.

Chonghao Zhong, Chao Xu, Rihua Hao, Hao Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

FastPoint: Super Lightweight Keypoint Detection, Description and Depth Estimation Framework.

Chonghao Zhong, Haitao Meng, Wenwei Lin, Gang Chen, Alois Knoll

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

2024

Learning Monocular Depth from Events via Egomotion Compensation.

Haitao Meng, Chonghao Zhong, Sheng Tang, Lian JunJia, Wenwei Lin, Zhenshan Bing, Yi Chang, Gang Chen, Alois Knoll

CoRR, 2024

TeX-NeRF: Neural Radiance Fields from Pseudo-TeX Vision.

Chonghao Zhong, Chao Xu

CoRR, 2024

2023

FastFusion: Deep stereo-LiDAR fusion for real-time high-precision dense depth sensing.

Haitao Meng, Changcai Li, Chonghao Zhong, Jianfeng Gu, Gang Chen, Alois Knoll

J. Field Robotics, October, 2023

Rotation-Invariant Descriptors Learned with Circulant Convolution Neural Networks.

Wenwei Lin, Chonghao Zhong, Xunpei Sun, Haitao Meng, Gang Chen, Biao Hu, Zonghua Gu

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2021

Online Sparse Beamforming in C-RAN: A Deep Reinforcement Learning Approach.

Chonghao Zhong, Kun Guo, Mingxiong Zhao

Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

A GPU -accelerated Deep Stereo- LiDAR Fusion for Real-time High-precision Dense Depth Sensing.

Haitao Meng, Chonghao Zhong, Jianfeng Gu, Gang Chen

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021