Publications & Preprints

	Improving Transferability for Domain Adaptive Detection Transformers ACM Multimedia 2022 Kaixiong Gong, Shuang Li, Shugang Li, Rui Zhang, Chi Harold Liu, Qiang Chen A novel domain adaptive object detection framework to adapt the DEtection TRansformers (DETR) in both pixel and instance levels across domains. Paper
	Metasaug: Meta semantic augmentation for long-tailed visual recognition CVPR 2021 Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng A semantic augmentation framework based on meta learning for augmenting the minority classes in long-tailed problems, which learns the augmentation directions automatically. Paper Code
	Critical Classes and Samples Discovering for Partial Domain Adaptation IEEE Transaction on Cybernetics (IF: 11.44) Shuang Li, Kaixiong Gong, Binhui Xie, Chi Harold Liu, Weipeng Cao, Song Tian CSDN, which aims to solve PDA problem, identifies the most relevant source classes and critical target samples, such that more precise cross-domain alignment in the shared label space could be enforced by co-training two diverse classifiers. Paper
	Transferable semantic augmentation for domain adaptation CVPR 2021 (Oral) Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li We design TSA to adapt the classifier towards the target domain and alleviate the over-fitting of classifier simultaneously for domain adaptation. Paper Code
	Pareto Domain Adaptation NeurIPS 2021 fangrui lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang We develop ParetoDA for handling the encountered conflict when simultaneously optimizing the supervised and alignment loss existing in domain adaptation methods. Paper Code
	End-to-End Transferable Anomaly Detection via Multi-spectral Cross-domain Representation Alignment IEEE TKDE 2021 Shuang Li, Shugang Li, Mixue Xie, Kaixiong Gong, Jianxin Zhao, Chi Harold Liu, Guoren Wang A framework for solving anomaly detection in domain adaptation setting, which utilizes multi-spectral representations and adversarial training strategy. Paper

Invited Talks

• 2021.10, VALSE, Metasaug: Meta semantic augmentation for long-tailed visual recognition.

• 2021.03, BAAI, Metasaug: Meta semantic augmentation for long-tailed visual recognition.

Selected Honors and Awards

• National Scholarship, Ministry of Education of China (TOP 2%), 2021.

• Merit Student of Beijing Institute of Technology, 2020.

• Scholarship of “Huarui Shiji” (Top 5%), 2018.

• The First Prize Scholarship of Beijing Institute of Technology, 2018.