Deep Collaborative Discrete Hashing with Semantic-Invariant Structure. - Zijian Wang 009; Zheng Zhang 006; Yadan Luo; Zi Huang (SIGIR, 2019)

Progressive Graph Learning for Open-Set Domain Adaptation. - Yadan Luo; Zijian Wang 009; Zi Huang; Mahsa Baktashmotlagh (ICML, 2020)

Retinal Blood Vessel Segmentation via Attention Gate Network. - Kaiqi Li; Zeyi Yao; Yiwen Luo; Xingqun Qi; Pengkun Liu; Zijian Wang 009 (ISAIMS, 2020)

Adversarial Bipartite Graph Learning for Video Domain Adaptation. - Yadan Luo; Zi Huang; Zijian Wang 009; Zheng Zhang 006; Mahsa Baktashmotlagh (ACM Multimedia, 2020)

Prototype-Matching Graph Network for Heterogeneous Domain Adaptation. - Zijian Wang 009; Yadan Luo; Zi Huang; Mahsa Baktashmotlagh (ACM Multimedia, 2020)

PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation. - Zhuojie Wu; Zijian Wang 009; Wenxuan Zou; Fan Ji; Hao Dang; Wanting Zhou; Muyi Sun (BIBM, 2021)

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation. - Wenxuan Zou; Xingqun Qi; Zhuojie Wu; Zijian Wang 009; Muyi Sun; Caifeng Shan (BIBM, 2021)

Learning to Diversify for Single Domain Generalization. - Zijian Wang 009; Yadan Luo; Ruihong Qiu; Zi Huang; Mahsa Baktashmotlagh (ICCV, 2021)

RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management. - Zhuoxiao Chen; Yiyun Zhang; Yadan Luo; Zijian Wang 009; Jinjiang Zhong; Anthony Southon (MMAsia, 2021)

Deep Collaborative Discrete Hashing With Semantic-Invariant Structure Construction. - Zijian Wang 009; Zheng Zhang 006; Yadan Luo; Zi Huang; Heng Tao Shen (IEEE Trans. Multim., 2021)

FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. - Xi Chen; Zhi Chen 010; Zijian Wang 009; Ruihong Qiu; Yadan Luo (ADC, 2022)

ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks. - Zhuojie Wu; Xingqun Qi; Zijian Wang 009; Wanting Zhou; Kun Yuan; Muyi Sun; Zhenan Sun (BMVC, 2022)

Self-supervised Correlation Mining Network for Person Image Generation. - Zijian Wang 009; Xingqun Qi; Kun Yuan; Muyi Sun (CVPR, 2022)

Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. - Ruihong Qiu; Zi Huang; Hongzhi Yin; Zijian Wang 009 (WSDM, 2022)

Towards Reliable and Efficient Vegetation Segmentation for Australian Wheat Data Analysis. - Bowen Yuan; Zijian Wang 009; Xin Yu 002 (ADC, 2023)

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. - Zijian Wang 009; Yadan Luo; Liang Zheng 001; Zi Huang; Mahsa Baktashmotlagh (ICCV, 2023)

Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. - Yiyun Zhang; Zijian Wang 009; Yadan Luo; Xin Yu 002; Zi Huang (ICDM, 2023)

Exploring Active 3D Object Detection from a Generalization Perspective. - Yadan Luo; Zhuoxiao Chen; Zijian Wang 009; Xin Yu 002; Zi Huang; Mahsa Baktashmotlagh (ICLR, 2023)

A Double-Level Interleaved Group Convolutional Network in the Frequency Domain for E-Nose Gas Recognition. - Zijian Wang 009; Mingye Han; Huisheng Zhang; Jia Yan (SENSORS, 2023)

VLM-BCD: Unsupervised Building Change Detection. - Yiyun Zhang; Zijian Wang 009 (MMAsia, 2023)

Center-aware Adversarial Augmentation for Single Domain Generalization. - Tianle Chen; Mahsa Baktashmotlagh; Zijian Wang 009; Mathieu Salzmann (WACV, 2023)

FFM: Injecting Out-of-Domain Knowledge via Factorized Frequency Modification. - Zijian Wang 009; Yadan Luo; Zi Huang; Mahsa Baktashmotlagh (WACV, 2023)

Towards Open World Active Learning for 3D Object Detection. - Zhuoxiao Chen; Yadan Luo; Zixin Wang; Zijian Wang 009; Xin Yu 002; Zi Huang (CoRR, 2023)

Source-Free Progressive Graph Learning for Open-Set Domain Adaptation. - Yadan Luo; Zijian Wang 009; Zhuoxiao Chen; Zi Huang; Mahsa Baktashmotlagh (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MIDNet: Neural-Based Efficient Delivery of Multispectral Satellite Image Data. - Yiyun Zhang; Zijian Wang 009 (ADC, 2024)

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. - Xiaoxiao Sun 002; Xingjian Leng; Zijian Wang 009; Yang Yang 002; Zi Huang; Liang Zheng 001 (ICLR, 2024)

Color-Oriented Redundancy Reduction in Dataset Distillation. - Bowen Yuan; Zijian Wang 009; Mahsa Baktashmotlagh; Yadan Luo; Zi Huang (NeurIPS, 2024)

Feature Space Perturbation: A Panacea to Enhanced Transferability Estimation. - Prafful Kumar Khoba; Zijian Wang 009; Chetan Arora 001; Mahsa Baktashmotlagh (WACV, 2025)

Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning. - Xingqun Qi; Muyi Sun; Zijian Wang 009; Jiaming Liu 003; Qi Li 005; Fang Zhao 006; Shanghang Zhang; Caifeng Shan (IEEE Trans. Neural Networks Learn. Syst., 2025)

SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization. - Bowen Yuan; Yuxia Fu; Zijian Wang 009; Yadan Luo; Zi Huang (CoRR, 2025)

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images. - Kaiyu Guo; Tan Pan; Chen Jiang; Zijian Wang 009; Brian C. Lovell; Limei Han; Yuan Cheng; Mahsa Baktashmotlagh (CoRR, 2025)

WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management. - Bowen Yuan; Selena Song; Javier Fernandez; Yadan Luo; Mahsa Baktashmotlagh; Zijian Wang 009 (CoRR, 2025)

Improving Out-of-Distribution Detection via Dynamic Covariance Calibration. - Kaiyu Guo; Zijian Wang 009; Tan Pan; Brian C. Lovell; Mahsa Baktashmotlagh (CoRR, 2025)