| 2026 | AAAI | Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis. | Daixian Liu, Hau-Sing So, Haoran Chen, Jiao Li, Shanshan Wang, Mengzhu Wang, Jingcai Guo |
| 2026 | AAAI | ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation. | Yihua Shao, Xiaofeng Lin, Xinwei Long, Siyu Chen, Minxi Yan, Yang Liu, Ziyang Yan, Ao Ma, Hao Tang, Jingcai Guo |
| 2026 | AAAI | TR-DQ: Time-Rotation Diffusion Quantization. | Yihua Shao, Deyang Lin, Minxi Yan, Siyu Chen, Fanhu Zeng, Minwen Liao, Ao Ma, Ziyang Yan, Haozhe Wang, Yan Wang, Zhi Chen, Xiaofeng Cao, Haotong Qin, Hao Tang, Jingcai Guo |
| 2025 | AAAI | Concept Matching with Agent for Out-of-Distribution Detection. | Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang |
| 2025 | AAAI | Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. | Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu |
| 2025 | AAAI | DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. | Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo |
| 2025 | CVPR | Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition. | Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao |
| 2025 | ICCV | SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning. | Zhi Chen, Zecheng Zhao, Jingcai Guo, Jingjing Li, Zi Huang |
| 2025 | ICCV | A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering Under Non-IID Missing Patterns. | Xiaorui Jiang, Buyun He, Peng Yuan Zhou, Xinyue Chen, Jingcai Guo, Jie Xu, Yong Liao |
| 2025 | ICML | GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. | Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo |
| 2025 | IJCAI | TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. | Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo |
| 2025 | IJCAI | ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation. | Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo |
| 2025 | IJCAI | Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning. | Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen, Mengzhu Wang |
| 2025 | IJCAI | In-Context Meta LoRA Generation. | Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo |
| 2025 | IJCAI | FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. | Yuxia Sun, Aoxiang Sun, Siyi Pan, Zhixiao Fu, Jingcai Guo |
| 2025 | IJCAI | On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning. | Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen |
| 2024 | AAAI | ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. | Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu |
| 2024 | AAAI | Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. | Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan |
| 2024 | AAAI | On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. | Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu |
| 2024 | CVPR | DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. | Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu |
| 2024 | CVPR | C | Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo |
| 2024 | ECCV | Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. | Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li |
| 2024 | ICLR | Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. | Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo |
| 2024 | ICML | Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. | Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu |
| 2024 | IJCAI | ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. | Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo |
| 2024 | IJCAI | Dual Expert Distillation Network for Generalized Zero-Shot Learning. | Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao |
| 2023 | AAAI | Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. | Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo |
| 2023 | CVPR | (ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. | Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo |
| 2023 | CVPR | Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. | Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo |
| 2023 | ICDCS | Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. | Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia |
| 2023 | IJCNN | Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. | Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng |
| 2022 | IJCAI | Personalized Federated Learning with Contextualized Generalization. | Xueyang Tang, Song Guo, Jingcai Guo |
| 2021 | USENIX | Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. | Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou |
| 2019 | ICASSP | Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition. | Jingcai Guo, Song Guo |
| 2019 | ICASSP | EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. | Jingcai Guo, Song Guo |