Publications

Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin (2024). DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang (2024). DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann (2024). TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Caixia Yan, Xiaojun Chang, Minnan Luo, Huan Liu, Xiaoqin Zhang, Qinghua Zheng (2024). Semantics-Guided Contrastive Network for Zero-Shot Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El Saddik (2024). Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng (2023). ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie (2023). Attribute-Guided Collaborative Learning for Partial Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao, Xiaojiang Chen (2023). When Object Detection Meets Knowledge Distillation: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence.

MingJie Li, Poyao Huang, Xiaojun Chang, Junjie Hu, Yi Yang, Alex Hauptmann (2023). Video Pivoting Unsupervised Multi-Modal Machine Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Xiaojun Chang, Pengzhen Ren, Pengfei Xu, Zhihui Li, Xiaojiang Chen, Alex Hauptmann (2023). A Comprehensive Survey of Scene Graphs: Generation and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Poyao Huang, Zhihui Li, Brij B. Gupta, Xiaojiang Chen, Xin Wang (2021). A Survey of Deep Active Learning. ACM Computing Surveys.

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Su (2021). One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Pengzhen Ren, Yun Xiao, Xiaojun Chang, Poyao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang (2021). A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions. ACM Computing Surveys.

Jianfeng Dong, Xirong Li, Chaoxi Xu, Xun Yang, Gang Yang, Xun Wang (2021). Dual Encoding for Video Retrieval by Text. IEEE Transactions on Pattern Analysis and Machine Intelligence.

Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Xiaojun Chang, Chengqi Zhang (2020). Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks. KDD 2020.

Xiaojun Chang, YaoLiang Yu, Yi Yang, Eric P. Xing (2017). Semantic Pooling for Complex Event Analysis in Untrimmed Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence.