| 2026 | AAAI | Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference. | Chengze Jiang, Minjing Dong, Xinli Shi, Jie Gui |
| 2026 | INFOCOM | Frequent Checkpointing through Mergeable Delta Compression and Semi-Reliable Transmission. | Jie Gui, Xiandong Lu, Qun Huang |
| 2025 | AAAI | Deep Graph Online Hashing for Multi-Label Image Retrieval. | Yuan Cao, Xiangru Chen, Zifan Liu, Wenzhe Jia, Fanlei Meng, Jie Gui |
| 2025 | AAAI | External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection. | Biwei Cao, Qihang Wu, Jiuxin Cao, Bo Liu, Jie Gui |
| 2025 | AAAI | Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection. | Hongsong Wang, Andi Xu, Pinle Ding, Jie Gui |
| 2025 | CVPR | Heterogeneous Skeleton-Based Action Representation Learning. | Hongsong Wang, Xiaoyan Ma, Jidong Kuang, Jie Gui |
| 2025 | EMNLP | Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs. | Yixiao Zhou, Ziyu Zhao, Dongzhou Cheng, Zhiliang Wu, Jie Gui, Yi Yang, Fei Wu, Yu Cheng, Hehe Fan |
| 2025 | ICCV | Backdooring Self-Supervised Contrastive Learning by Noisy Alignment. | Tuo Chen, Jie Gui, Minjing Dong, Ju Jia, Lanting Fang, Jian Liu |
| 2025 | ICCV | LOTA: Bit-Planes Guided AI-Generated Image Detection. | Hongsong Wang, Renxi Cheng, Yang Zhang, Chaolei Han, Jie Gui |
| 2025 | INFOCOM | FD-Filter: A Compact Data Structure for Fine-Grained Intra-Flow Packet Delay Monitoring. | Jintao He, Jie Gui, Tian Lv, Jiaqi Zhu, Qun Huang |
| 2024 | AAAI | Underwater Organism Color Fine-Tuning via Decomposition and Guidance. | Xiaofeng Cong, Jie Gui, Junming Hou |
| 2024 | AAAI | Taxonomy Driven Fast Adversarial Training. | Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao |
| 2024 | CVPR | A Semi-Supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint. | Xiaofeng Cong, Jie Gui, Jing Zhang, Junming Hou, Hao Shen |
| 2024 | IJCAI | A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning. | Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao |
| 2023 | AAAI | Fast Online Hashing with Multi-Label Projection. | Wenzhe Jia, Yuan Cao, Junwei Liu, Jie Gui |
| 2023 | AAAI | Good Helper Is around You: Attention-Driven Masked Image Modeling. | Zhengqi Liu, Jie Gui, Hao Luo |
| 2023 | ICDE | SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch. | Jie Gui, Yuchen Song, Zezhou Wang, Chenhong He, Qun Huang |
| 2023 | SIGCOMM | OmniWindow: A General and Efficient Window Mechanism Framework for Network Telemetry. | Haifeng Sun, Jiaheng Li, Jintao He, Jie Gui, Qun Huang |
| 2021 | AAAI | Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse. | Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui |
| 2021 | IJCAI | A Comprehensive Survey on Image Dehazing Based on Deep Learning. | Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao |
| 2021 | KDD | MapEmbed: Perfect Hashing with High Load Factor and Fast Update. | Yuhan Wu, Zirui Liu, Xiang Yu, Jie Gui, Haochen Gan, Yuhao Han, Tao Li, Ori Rottenstreich, Tong Yang |
| 2020 | ECAI | Randomized Kernel Multi-View Discriminant Analysis. | Xiaoyun Li, Jie Gui, Ping Li |
| 2018 | ICDM | Multi-view Feature Selection for Heterogeneous Face Recognition. | Jie Gui, Ping Li |
| 2018 | KDD | R 2 SDH: Robust Rotated Supervised Discrete Hashing. | Jie Gui, Ping Li |
| 2012 | ICPR | Regularization parameter estimation for spectral regression discriminant analysis based on perturbation theory. | Jie Gui, Zhenan Sun, Tieniu Tan |
| 2008 | ICPR | An improvement on learning with local and global consistency. | Jie Gui, De-Shuang Huang, Zhuhong You |