Joint Adversarial Domain Adaptation. - Shuang Li 008; Chi Harold Liu; Binhui Xie; Limin Su; Zhengming Ding; Gao Huang 001 (ACM Multimedia, 2019)

Domain Conditioned Adaptation Network. - Shuang Li 008; Chi Harold Liu; Qiuxia Lin; Binhui Xie; Zhengming Ding; Gao Huang 001; Jian Tang 008 (AAAI, 2020)

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation. - Shuang Li 008; Binhui Xie; Jiashu Wu; Ying Zhao; Chi Harold Liu; Zhengming Ding (ACM Multimedia, 2020)

Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. - Shuang Li 008; Chi Harold Liu; Limin Su; Binhui Xie; Zhengming Ding; C. L. Philip Chen; Dapeng Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. - Shuang Li 008; Fangrui Lv; Binhui Xie; Chi Harold Liu; Jian Liang 002; Chen Qin (AAAI, 2021)

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. - Dina Bashkirova; Samarth Mishra; Diala Lteif; Piotr Teterwak; Donghyun Kim 006; Fadi M. Alladkani; James Akl; Berk Çalli; Sarah Adel Bargal; Kate Saenko; Daehan Kim; Minseok Seo; et al. (NeurIPS (Competition and Demos), 2021)

Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation. - Shuang Li 008; Binhui Xie; Bin Zang; Chi Harold Liu; Xinjing Cheng; Ruigang Yang; Guoren Wang (CoRR, 2021)

SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning. - Binhui Xie; Kejia Yin; Shuang Li 008; Xinjing Chen (CoRR, 2021)

Active Learning for Domain Adaptation: An Energy-Based Approach. - Binhui Xie; Longhui Yuan; Shuang Li 008; Chi Harold Liu; Xinjing Cheng; Guoren Wang (AAAI, 2022)

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. - Binhui Xie; Longhui Yuan; Shuang Li 008; Chi Harold Liu; Xinjing Cheng (CVPR, 2022)

Generalized Domain Conditioned Adaptation Network. - Shuang Li 008; Binhui Xie; Qiuxia Lin; Chi Harold Liu; Gao Huang 001; Guoren Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions. - Mingjia Li 003; Binhui Xie; Shuang Li 008; Chi Harold Liu; Xinjing Cheng (AAAI, 2023)

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. - Yuxin Fang; Wen Wang 015; Binhui Xie; Quan Sun; Ledell Wu; Xinggang Wang; Tiejun Huang 003; Xinlong Wang; Yue Cao 001 (CVPR, 2023)

Robust Test-Time Adaptation in Dynamic Scenarios. - Longhui Yuan; Binhui Xie; Shuang Li 008 (CVPR, 2023)

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation. - Binhui Xie; Shuang Li 008; Qingju Guo; Chi Harold Liu; Xinjing Cheng (NeurIPS, 2023)

Generalized Robust Test-Time Adaptation in Continuous Dynamic Scenarios. - Shuang Li 008; Longhui Yuan; Binhui Xie; Tao Yang (CoRR, 2023)

Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation. - Longhui Yuan; Shuang Li 008; Zhuo He; Binhui Xie (CoRR, 2023)

Joint Semantic Transfer Network for IoT Intrusion Detection. - Jiashu Wu; Yang Wang 006; Binhui Xie; Shuang Li 008; Hao Dai; Kejiang Ye; Cheng-Zhong Xu 001 (IEEE Internet Things J., 2023)

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation. - Binhui Xie; Shuang Li 008; Mingjia Li 003; Chi Harold Liu; Gao Huang 001; Guoren Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation. - Binhui Xie; Shuang Li 008; Fangrui Lv; Chi Harold Liu; Guoren Wang; Dapeng Oliver Wu (IEEE Trans. Knowl. Data Eng., 2023)

Critical Classes and Samples Discovering for Partial Domain Adaptation. - Shuang Li 008; Kaixiong Gong; Binhui Xie; Chi Harold Liu; Weipeng Cao; Song Tian (IEEE Trans. Cybern., 2023)

Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation. - Lincan Cai; Shuang Li 008; Wenxuan Ma 001; Jingxuan Kang; Binhui Xie; Zixun Sun; Chengwei Zhu (ICML, 2024)

Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments. - Mixue Xie; Shuang Li 008; Binhui Xie; Chi Harold Liu; Jian Liang 002; Zixun Sun; Ke Feng; Chengwei Zhu (NeurIPS, 2024)

From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection. - Lincan Cai; Jingxuan Kang; Shuang Li 008; Wenxuan Ma 001; Binhui Xie; Zhida Qin; Jian Liang 002 (CoRR, 2025)