Jiang, Jiawei

20 publications

AAAI 2025 Breaking Information Isolation: Accelerating MRI via Inter-Sequence Mapping and Progressive Masking Jianwei Zheng, Xiaomin Yao, Guojiang Shen, Wei Li, Jiawei Jiang

IJCAI 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-Attributed Graph Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang

IJCAI 2025 Guiding LLM-Based Smart Contract Generation with Finite State Machine Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang

AAAI 2025 HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang

CVPR 2025 LMO: Linear Mamba Operator for MRI Reconstruction Wei Li, Jiawei Jiang, Jie Wu, Kaihao Yu, Jianwei Zheng

IJCAI 2025 Model Rake: A Defense Against Stealing Attacks in Split Learning Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang

AAAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui

IJCAI 2025 Zero-Shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng

CVPRW 2024 Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-Shot Segmentation Shihong Wang, Ruixun Liu, Kaiyu Li, Jiawei Jiang, Xiangyong Cao

NeurIPS 2024 Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang

NeurIPS 2024 Efficient Multi-Task LLM Quantization and Serving for Multiple LoRA Adapters Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui

AAAI 2024 Learning Diffusions Under Uncertainty Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang

AAAI 2024 Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng

AAAI 2023 Continuous Trajectory Generation Based on Two-Stage GAN Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang

AAAI 2023 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang

AAAI 2022 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

NeurIPS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang

AAAI 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

ICML 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui

AAAI 2020 Efficient Automatic CASH via Rising Bandits Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui