Jiachen Zhong

About Me

I am an Algorithm Engineer at the AI Lab of SAIC Motor and IM Motors. Before moving to industry career, I was a Master student at UCLA Computer Science Department.

I work on building robust, efficient, and scalable data-driven perception and planning solutions to support production-level autonomous driving or general autonomy systems in the complex real world.

My current efforts and interests aim to let the systems be able to:

learn the comprehensive representation of the surrounding world
hold the persistent memory
acquire meaningful values/rewards/targets beyond predefined rules

[E-mail] [CV] [Github] [LinkedIn]

Paperworks

* indicates equal contribution

Correcting Pseudo Labels in Semi Supervised Object Detection with SAM
Pengyu Wang, Jianmin Li, Wenbo Ding, Jiachen Zhong, Jianyong Ai
IEEE International Conference on Multimedia and Expo (ICME), 2024.
[Paper]
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection
Ziqi Yuan*, Liyuan Wang*, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu
ArXiv Preprint, 2023.
[Paper] [Code]
Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
Yangyang Ding*, Luying Huang*, Jiachen Zhong
Tech report of CVPR 2023 Autonomous Driving Challenge, 2023.
[Paper] [Official leaderboard] [EvalAI]
Understanding the Robustness of 3D Object Detection with Bird’s-Eye-View Representations in Autonomous Driving
Zijian Zhu*, Yichi Zhang*, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng
Computer Vision and Pattern Recognition Conference (CVPR), 2023.
[Paper][Code]
WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels
Jianyong Ai, Wenbo Ding, Jiuhua Zhao, Jiachen Zhong
International Conference on Robotics and Automation (ICRA), 2023.
[Paper] [Code]
Improving the Speed and Quality of GAN by Adversarial Training
Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh
ArXiv Preprint, 2020.
[Paper] [Code] [MS Thesis Version]
Fashion Popularity Analysis based on Online Social Network via Deep Learning
Jiachen Zhong, Rita Tse, Gustavo Marfia, Giovanni Pau
International Conference on Digital Image Processing (ICDIP), 2019.
[Paper] [DOI] [BS Thesis Version]