A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks. - Weijie Chen 006; Yuan Zhang; Di Xie; Shiliang Pu (AAAI, 2019)

All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification. - Weijie Chen 006; Di Xie; Yuan Zhang; Shiliang Pu (CVPR, 2019)

Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. - Luojun Lin; Lingyu Liang; Lianwen Jin; Weijie Chen 006 (IJCAI, 2019)

Neural Inheritance Relation Guided One-Shot Layer Assignment Search. - Rang Meng; Weijie Chen 006; Di Xie; Yuan Zhang; Shiliang Pu (AAAI, 2020)

Unsupervised Image Classification for Deep Representation Learning. - Weijie Chen 006; Shiliang Pu; Di Xie; Shicai Yang; Yilu Guo; Luojun Lin (ECCV Workshops (2), 2020)

A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data. - Xianfeng Li; Weijie Chen 006; Di Xie; Shicai Yang; Peng Yuan; Shiliang Pu; Yueting Zhuang (AAAI, 2021)

Box Re-Ranking: Unsupervised False Positive Suppression for Domain Adaptive Pedestrian Detection. - Weijie Chen 006; Yilu Guo; Shicai Yang; Zhaoyang Li; Zhenxin Ma; Binbin Chen; Long Zhao; Di Xie; Shiliang Pu; Yueting Zhuang (CoRR, 2021)

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. - Weijie Chen 006; Luojun Lin; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang; Wenqi Ren (CoRR, 2021)

Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline. - Luojun Lin; Han Xie; Zhifeng Yang; Zhishu Sun; Wenxi Liu; Yuanlong Yu; Weijie Chen 006; Shicai Yang; Di Xie (CoRR, 2021)

Unsupervised object detection with scene-adaptive concept learning. - Shiliang Pu; Wei Zhao; Weijie Chen 006; Shicai Yang; Di Xie; Yunhe Pan (Frontiers Inf. Technol. Electron. Eng., 2021)

Label Matching Semi-Supervised Object Detection. - Binbin Chen; Weijie Chen 006; Shicai Yang; Yunyi Xuan; Jie Song 011; Di Xie; Shiliang Pu; Mingli Song; Yueting Zhuang (CVPR, 2022)

Slimmable Domain Adaptation. - Rang Meng; Weijie Chen 006; Shicai Yang; Jie Song 011; Luojun Lin; Di Xie; Shiliang Pu; Xinchao Wang; Mingli Song; Yueting Zhuang (CVPR, 2022)

Attention Diversification for Domain Generalization. - Rang Meng; Xianfeng Li; Weijie Chen 006; Shicai Yang; Jie Song 011; Xinchao Wang; Lei Zhang 038; Mingli Song; Di Xie; Shiliang Pu (ECCV (34), 2022)

Transductive Clip with Class-Conditional Contrastive Learning. - Junchu Huang; Weijie Chen 006; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang (ICASSP, 2022)

Target-Aware Auto-Augmentation for Unsupervised Domain Adaptive Object Detection. - Zhaoyang Li; Long Zhao; Weijie Chen 006; Shicai Yang; Di Xie; Shiliang Pu (ICASSP, 2022)

Simulation-and-Mining: Towards Accurate Source-Free Unsupervised Domain Adaptive Object Detection. - Peng Yuan; Weijie Chen 006; Shicai Yang; Yunyi Xuan; Di Xie; Yueting Zhuang; Shiliang Pu (ICASSP, 2022)

Learning Domain Adaptive Object Detection with Probabilistic Teacher. - Meilin Chen; Weijie Chen 006; Shicai Yang; Jie Song 011; Xinchao Wang; Lei Zhang 038; Yunfeng Yan; Donglian Qi; Yueting Zhuang; Di Xie; Shiliang Pu (ICML, 2022)

Dynamic Domain Generalization. - Zhishu Sun; Zhifeng Shen; Luojun Lin; Yuanlong Yu; Zhifeng Yang; Shicai Yang; Weijie Chen 006 (IJCAI, 2022)

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation. - Weijie Chen 006; Luojun Lin; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang (IROS, 2022)

Universal Domain Adaptive Object Detector. - Wenxu Shi; Lei Zhang 038; Weijie Chen 006; Shiliang Pu (ACM Multimedia, 2022)

2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach. - Yilu Guo; Shicai Yang; Weijie Chen 006; Liang Ma; Di Xie; Shiliang Pu (CoRR, 2022)

Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains. - Mingjun Xu; Lingyun Qin; Weijie Chen 006; Shiliang Pu; Lei Zhang 038 (CVPR, 2023)

Customized Automatic Face Beautification. - Wang Chen; Peizhen Chen; Weijie Chen 006; Luojun Lin (ICASSP, 2023)

Unsupervised Prompt Tuning for Text-Driven Object Detection. - Weizhen He; Weijie Chen 006; Binbin Chen; Shicai Yang; Di Xie; Luojun Lin; Donglian Qi; Yueting Zhuang (ICCV, 2023)

Adapt then Generalize: A Simple Two-Stage Framework for Semi-Supervised Domain Generalization. - Han Xie; Zhifeng Shen; Shicai Yang; Weijie Chen 006; Luojun Lin (ICME, 2023)

Parameter Exchange for Robust Dynamic Domain Generalization. - Luojun Lin; Zhifeng Shen; Zhishu Sun; Yuanlong Yu; Lei Zhang 038; Weijie Chen 006 (ACM Multimedia, 2023)

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. - Luojun Lin; Zhifeng Shen; Jia-Li Yin; Qipeng Liu 004; Yuanlong Yu; Weijie Chen 006 (ACM Multimedia, 2023)

Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification. - Yunyi Xuan; Weijie Chen 006; Shicai Yang; Di Xie; Luojun Lin; Yueting Zhuang (ACM Multimedia, 2023)

1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track. - Yilu Guo; Xingyue Shi; Weijie Chen 006; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang (CoRR, 2023)

1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection Track. - Wei Zhao; Binbin Chen; Weijie Chen 006; Shicai Yang; Di Xie; Shiliang Pu; Yueting Zhuang (CoRR, 2023)

Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models. - Weijie Chen 006; Haoyu Wang 016; Shicai Yang; Lei Zhang 038; Wei Wei 008; Yanning Zhang 001; Luojun Lin; Di Xie; Yueting Zhuang (CoRR, 2023)

Randomized Spectrum Transformations for Adapting Object Detector in Unseen Domains. - Lei Zhang 038; Lingyun Qin; Mingjun Xu; Weijie Chen 006; Shiliang Pu; Wensheng Zhang 002 (IEEE Trans. Image Process., 2023)

Exploring Implicit Domain-Invariant Features for Domain Adaptive Object Detection. - Qinghai Lang; Lei Zhang 038; Wenxu Shi; Weijie Chen 006; Shiliang Pu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Stochastic Gradient Perturbation: An Implicit Regularizer for Person Re-Identification. - Yuhang Zhou; Fuxiang Huang; Weijie Chen 006; Shiliang Pu; Lei Zhang 038 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Multivariate Fourier Distribution Perturbation: Domain Shifts with Uncertainty in Frequency Domain. - Xianfeng Li; Weijie Chen 006; Shicai Yang; Yishuang Li; Wenhao Guan; Lin Li (ICASSP, 2024)

Semi-supervised domain generalization with evolving intermediate domain. - Luojun Lin; Han Xie; Zhishu Sun; Weijie Chen 006; Wenxi Liu; Yuanlong Yu; Lei Zhang 038 (Pattern Recognit., 2024)

Better Together: Data-Free Multi-Student Coevolved Distillation. - Weijie Chen 006; Yunyi Xuan; Shicai Yang; Di Xie; Luojun Lin; Yueting Zhuang (Knowl. Based Syst., 2024)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

Unbiased Evaluation of Large Language Models from a Causal Perspective. - Meilin Chen; Jian Tian; Liang Ma; Di Xie; Weijie Chen 006; Jiang Zhu (CoRR, 2025)

Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models. - Weijie Chen 006; Haoyu Wang 016; Shicai Yang; Lei Zhang 054; Wei Wei 008; Yanning Zhang 001; Luojun Lin; Di Xie; Yueting Zhuang (IEEE Trans. Big Data, 2025)