Jihan Yang

Ph.D. student
Department of Electrical and Electronic Engineering
The University of Hong Kong

Email: jihanyang13 [at] gmail [dot] com

[Google Scholar]   [GitHub]   [Twitter]  

Biography


I am currently a PhD student (2020-) at EEE, The University of Hong Kong, advised by Dr. Xiaojuan Qi. Before that I obtained my Bachelor's degree from Sun Yat-sen University, supervised by Prof. Liang Lin and Prof. Guanbin Li. I am also working closely with Ruijia Xu, Dr. Shaoshuai Shi, Runyu Ding and Dr. Zhe Wang.

My research interests focus on machine learning, vision and embodied ai.

(I am looking for researcher or postdoc positions in 2024 fall! Reach out to me if you’re intersted!)

News


Codebase


Selected Publications [Google Scholar]


*: Equal Contribution

V-IRL: Grounding Virtual Intelligence in Real Life
Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie.
arXiv Preprint
[PDF] [BLOG] [CODE]GitHub stars



RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Jihan Yang*, Runyu Ding*, Weipeng Deng, Zhe Wang, Xiaojuan Qi.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF] [BLOG]



PLA: Language-driven Open-Vocabulary 3D Scene Understanding
Runyu Ding*, Jihan Yang*, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[PDF] [BLOG] [CODE]GitHub stars



Towards Efficient 3D Object Detection with Knowledge Distillation
Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
Advances in Neural Information Processing Systems (NeurIPS) 2022.
[PDF] [CODE] GitHub stars





ST3D++: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2022.
[PDF] [CODE] GitHub stars



DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation
Runyu Ding*, Jihan Yang*, Xiaojuan Qi
European Conference on Computer Vision (ECCV), 2022.
[PDF] [CODE] GitHub stars



Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He*, Jihan Yang*, Xiaojuan Qi
IEEE International Conference on Computer Vision (ICCV), 2021. [Oral]
[PDF] [CODE] GitHub stars



ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang*, Shaoshuai Shi*, Zhe Wang, Hongsheng Li, Xiaojuan Qi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[PDF] [CODE] GitHub stars



An adversarial perturbation oriented domain adaptation approach for semantic segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin
AAAI, 2020.
[PDF]



Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin
IEEE International Conference on Computer Vision (ICCV), 2019.[Oral]
[PDF] [CODE] GitHub stars

Best Paper Award Nomination (one of the seven among 1,075 accepted papers) refer to here.





Experience


Honors & Awards


2nd place on 3D detection, 3D tracking and domain adaptation three tracks of Waymo Open Challenges 2020
Postgraduate Scholarship, HKU 2020 - 2024
Best Paper Nomination, IEEE International Conference on Computer Vision (0.2%) 2019
Excellent Graduate Award of Sun Yat-sen University (2%) 2019
Excellent Dissertations of Sun Yat-sen University (2%) 2019
First Prize Scholarship of Sun Yat-sen University (4%) 2017, 2018

Academic Services


Conference Reviewer: Journal Reviewer:

Teaching


ELEC3249 Pattern Recognition and Machine Intelligence2022-2023
ENGG1310 Electricity and Electronics2021-2022
ELEC3249 Pattern Recognition and Machine Intelligence2020-2021