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.

My research interests lie in machine learning and computer vision, with a particular focus on multimodality 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


Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2024.
[PDF]






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] [CODE]GitHub stars




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