I joined Learning and Machine Perception (LAMP) team in 2019.10 (to graduate flexibly at some point (around July) before 2023.10), as a PhD student advised by Dr. Joost van de Weijer in Computer Vision Center, Autonomous University of Barcelona, Spain. I received Master degree from the Huazhong University of Science and Technology, China in 2019, during my master study I once worked as research associate in Kyoto University, Japan. My research during PhD focuses on how to efficiently adapt the pretrained model to real world environment (for visual task) under domain and category shift unsupervisedly, such as source-free/continual/open-set/universal domain adaptation, and also novel category discovery.
CV (updated Jan. 2023)
Currently I am in Tokyo as a research intern in OMRON SINIC X
I am on the job market for researcher/scientist position
News
[Jan. 2023] Nice to visit Prof. Maria Brbic's group in EPFL. And I start the internship in OMRON SINIC X Tokyo, working with Dr. Atsushi Hashimoto and Dr. Yoshitaka Ushiku.
[Nov. 2022] I will present our recent work on model adaptation under domain and category shift on TrustML Young Scientist Seminars (hosted by RIKEN AIP) on Dec .7.
[Sep. 2022] Our paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation' is accepted by NeurIPS 2022 as Spotlight, and paper "Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification" is accepted by BMVC 2022.
[Jun. 2022] I will be in multiple places in Italy in July: Sicily for ICVSS summer school, Florence for a talk to MICC lab (thanks to the strike..), Milan for the AI Symposium.
[Sep. 2021] Our paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation' is accepted by NeurIPS 2021.
[Jul. 2021] Our paper 'Generalized Source-free Domain Adaptation' is accepted by ICCV 2021.
[Oct. 2018] Start working as a research associate in Kyoto University, on the topic of AI for art, working with Prof. Liang Zhao and Prof. Xuefeng Liang.
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
preprint
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer
Advances in Neural Information Processing Systems (NeurIPS) 2022 Spotlight [project][paper][arXiv] [code]
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
Advances in Neural Information Processing Systems (NeurIPS) 2021 [project] [paper] [arXiv] [code] [video]
Generalized Source-free Domain Adaptation
Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui
International Conference on Computer Vision (ICCV) 2021 [project] [paper] [arXiv] [code] [video]
Research Experience
Jan. 2023 ~ May. 2023, Research Intern in Omron SINIC X, Tokyo, Japan
Oct. 2018 ~ Mar. 2019, Guest Research Associate in Kyoto University, Japan.
Invited Talks and Activities
Visiting talk in Prof. Maria Brbic's group in EPFL, Switzerland, 2023.1
Invited talk on TrustML Young Scientist Seminars, RIKEN AIP, Japan, 2022.12
ICVSS summer school, Sicily, Italy, 2022.7
Invited talk on AI Time Seminar on NeurIPS 2021 (Virtual), China, 2022.2
Academic Service
Conference Reviewer: NeurIPS, ECCV, ICML, CVPR, WACV
Journal Reviewer: IEEE TKDE, TPAMI