Image Retrieval via Canonical Correlation Analysis. - Kangdi Shi; Xiaohong Liu 001; Muhammad Alrabeiah; Xintong Guo; Jie Lin; Huan Liu 014; Jun Chen 005 (CWIT, 2019)

DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing. - Minghan Fu; Huan Liu 014; Yankun Yu; Jun Chen 005; Keyan Wang (CVPR Workshops, 2021)

A Two-Branch Neural Network for Non-Homogeneous Dehazing via Ensemble Learning. - Yankun Yu; Huan Liu 014; Minghan Fu; Jun Chen 005; Xiyao Wang; Keyan Wang (CVPR Workshops, 2021)

FMSNet: Underwater Image Restoration by Learning from a Synthesized Dataset. - Xiangyu Yin; Xiaohong Liu 001; Huan Liu 014 (ICANN (3), 2021)

Indirect Domain Shift for Single Image Dehazing. - Huan Liu 014; Jun Chen 005 (IEEE Access, 2021)

Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network. - Huan Liu 014; Junsong Yuan 001; Chen Wang 033; Jun Chen 005 (CoRR, 2021)

MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning. - Zhixiang Chi; Li Gu; Huan Liu 014; Yang Wang 003; Yuanhao Yu; Jin Tang 005 (CVPR, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

Towards Multi-domain Single Image Dehazing via Test-time Training. - Huan Liu 014; Zijun Wu; Liangyan Li; Sadaf Salehkalaibar; Jun Chen 005; Keyan Wang (CVPR, 2022)

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay. - Huan Liu 014; Li Gu; Zhixiang Chi; Yang Wang 003; Yuanhao Yu; Jun Chen 005; Jin Tang 005 (ECCV (24), 2022)

Lossy Compression with Distribution Shift as Entropy Constrained Optimal Transport. - Huan Liu 014; George Zhang; Jun Chen 005; Ashish J. Khisti (ICLR, 2022)

Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022. - Li Gu; Zhixiang Chi; Huan Liu 014; Yuanhao Yu; Yang Wang 003 (CoRR, 2022)

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing. - Kangdi Shi; Xiaohong Liu 001; Muhammad Alrabeiah; Xintong Guo; Jie Lin; Huan Liu 014; Jun Chen 005 (Inf., 2022)

Cross-Domain Lossy Compression as Entropy Constrained Optimal Transport. - Huan Liu 014; George Zhang; Jun Chen 005; Ashish Khisti (IEEE J. Sel. Areas Inf. Theory, 2022)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge. - Ke Chen; Liangyan Li; Huan Liu 014; Yunzhe Li; Congling Tang; Jun Chen 005 (CVPR Workshops, 2023)

Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank. - Shirui Huang; Keyan Wang; Huan Liu 014; Jun Chen 005; Yunsong Li 001 (CVPR, 2023)

A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer. - Yangyi Liu; Huan Liu 014; Liangyan Li; Zijun Wu; Jun Chen 005 (CVPR Workshops, 2023)

Meta-Auxiliary Learning for Future Depth Prediction in Videos. - Huan Liu 014; Zhixiang Chi; Yuanhao Yu; Yang Wang 003; Jun Chen 005; Jin Tang 005 (WACV, 2023)

Fast Human Pose Estimation in Compressed Videos. - Huan Liu 014; Wentao Liu; Zhixiang Chi; Yang Wang 003; Yuanhao Yu; Jun Chen 005; Jin Tang 005 (IEEE Trans. Multim., 2023)

FDCT: Fast Depth Completion for Transparent Objects. - Tianan Li; Zhehan Chen; Huan Liu 014; Chen Wang 033 (IEEE Robotics Autom. Lett., 2023)

Test-Time Personalization with Meta Prompt for Gaze Estimation. - Huan Liu 014; Julia Qi; Zhenhao Li; Mohammad Hassanpour; Yang Wang 003; Konstantinos N. Plataniotis; Yuanhao Yu (AAAI, 2024)

NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Yidi Liu; Xingbo Wang; Yurui Zhu; Gege Shi; Xin Lu 006; Xueyang Fu; Zheng-Jun Zha; Wei Dong 010; et al. (CVPR Workshops, 2024)

Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition. - Arash Rasti-Meymandi; Pai Chet Ng; Huan Liu 014; Yuanhao Yu; Konstantinos N. Plataniotis (ICASSP Workshops, 2024)

Towards Collaborative Multimodal Federated Learning for Human Activity Recognition in Smart Workplace Environments. - Seyed Mohammad Sheikholeslami; Pai Chet Ng; Huan Liu 014; Yuanhao Yu; Konstantinos N. Plataniotis (ICASSP Workshops, 2024)

Adapting to Distribution Shift by Visual Domain Prompt Generation. - Zhixiang Chi; Li Gu; Tao Zhong 003; Huan Liu 014; Yuanhao Yu; Konstantinos N. Plataniotis; Yang Wang 003 (ICLR, 2024)

HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments. - Alireza Esmaeilzehi; Ensieh Khazaei; Kai Wang 068; Navjot Kaur Kalsi; Pai Chet Ng; Huan Liu 014; Yuanhao Yu; Dimitrios Hatzinakos; Konstantinos N. Plataniotis (Pattern Recognit. Lett., 2024)

Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation. - Zhixiang Chi; Li Gu; Huan Liu 014; Ziqiang Wang 003; Yanan Wu; Yang Wang 003; Konstantinos N. Plataniotis (ICLR, 2025)

Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices. - Jun Chen 005; Jia Wang 004; Ruibin Li; Han Zhou 003; Wei Dong 010; Huan Liu 014; Yuanhao Yu (CoRR, 2025)