Applying Probabilistic Model Checking to Express Delivery Location Selection and Optimization. - Yonghua Zhu; Xiaoyi Xue; Kai Zhang 039; Shunyi Mao; Honghao Gao (ICEBE, 2016)

UAV Swarm Communication Aware Formation Control via Deep Q Network. - Chengtao Xu; Kai Zhang 039; Houbing Song (IPCCC, 2020)

Spatio-Temporal Data Mining for Aviation Delay Prediction. - Kai Zhang 039; Yushan Jiang; Dahai Liu; Houbing Song (IPCCC, 2020)

Learning to Detect: A Data-driven Approach for Network Intrusion Detection. - Zachary Tauscher; Yushan Jiang; Kai Zhang 039; Jian Wang 061; Houbing Song (IPCCC, 2021)

Federated Variational Learning for Anomaly Detection in Multivariate Time Series. - Kai Zhang 039; Yushan Jiang; Lee Seversky; Chengtao Xu; Dahai Liu; Houbing Song (IPCCC, 2021)

Learning-to-Dispatch: Reinforcement Learning Based Flight Planning under Emergency. - Kai Zhang 039; Yupeng Yang; Chengtao Xu; Dahai Liu; Houbing Song (ITSC, 2021)

Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching. - Jiamin Li 003; Xingbo Liu; Xiushan Nie; Lele Ma; Peng Li; Kai Zhang 039; Yilong Yin (Comput. Intell. Neurosci., 2021)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Xun Chen; Lichao Sun 001 (EMNLP (Findings), 2022)

Phased Flight Trajectory Prediction with Deep Learning. - Kai Zhang 039; Bowen Chen (CoRR, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Lichao Sun 001 (CoRR, 2022)

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. - Jiaxiang Tang; Jinbao Zhu; Songze Li; Kai Zhang 039; Lichao Sun 001 (IACR Cryptol. ePrint Arch., 2022)

Spatial-Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction. - Yushan Jiang; Shuteng Niu; Kai Zhang 039; Bowen Chen; Chengtao Xu; Dahai Liu; Houbing Song (IEEE Internet Things J., 2022)

Enabling the interpretability of pretrained venue representations using semantic categories. - Ning An 004; Meng Chen 003; Li Lian; Peng Li; Kai Zhang 039; Xiaohui Yu 001; Yilong Yin (Knowl. Based Syst., 2022)

Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. - Meiyu Li; Kaicong Sun; Yuning Gu; Kai Zhang 039; Yiqun Sun; Zhenhui Li; Dinggang Shen (MICCAI (7), 2023)

Backdoor Attacks to Pre-trained Unified Foundation Models. - Zenghui Yuan; Yixin Liu 002; Kai Zhang 039; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. - Yixin Liu 002; Haohui Ye; Kai Zhang 039; Lichao Sun 001 (CoRR, 2023)

Memory-adaptive Depth-wise Heterogenous Federated Learning. - Kai Zhang 039; Yutong Dai 002; Hongyi Wang 001; Eric P. Xing; Xun Chen; Lichao Sun 001 (CoRR, 2023)

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. - Kai Zhang 039; Jun Yu; Zhiling Yan; Yixin Liu 002; Eashan Adhikarla; Sunyang Fu; Xun Chen; Chen Chen 001; Yuyin Zhou; Xiang Li 001; Lifang He 001; Brian D. Davison 001; et al. (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; et al. (CoRR, 2023)

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V. - Zhiling Yan; Kai Zhang 039; Rong Zhou; Lifang He 001; Xiang Li 001; Lichao Sun 001 (CoRR, 2023)

Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts. - Eashan Adhikarla; Kai Zhang 039; Jun Yu; Lichao Sun 001; John W. Nicholson 001; Brian D. Davison 001 (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Yingtong Dou; Carl Yang 001; Kai Zhang 039; Ji Wang 002; Philip S. Yu; Lifang He 001; Bo Li 026 (IEEE Trans. Knowl. Data Eng., 2023)

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement. - Eashan Adhikarla; Kai Zhang 039; Rosaura G. VidalMata; Manjushree B. Aithal; Nikhil Ambha Madhusudhana; John W. Nicholson 001; Lichao Sun 001; Brian D. Davison 001 (ICPR (29), 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

Towards Accurate Fetal Brain Parcellation via Hierarchical Network and Loss. - Shijie Huang; Kai Zhang 039; Jiawei Huang; Lingnan Kong; Fangmei Zhu; Zhongxiang Ding; Geng Chen 001; Dinggang Shen (PIPPI@MICCAI, 2024)

Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. - Jiquan Ma; Yujun Teng; Geng Chen 001; Haotian Jiang; Kai Zhang 039; Feihong Liu; Islem Rekik; Dinggang Shen (CDMRI@MICCAI, 2024)

Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective. - Kai Zhang 039; Shijie Huang; Fangmei Zhu; Zhongxiang Ding; Geng Chen 001; Dinggang Shen (PIPPI@MICCAI, 2024)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. - Yixin Liu 002; Kai Zhang 039; Yuan Li 032; Zhiling Yan; Chujie Gao; Ruoxi Chen; Zhengqing Yuan; Yue Huang 001; Hanchi Sun; Jianfeng Gao 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. - Jun Yu; Yutong Dai 002; Xiaokang Liu; Jin Huang; Yishan Shen; Ke Zhang; Rong Zhou; Eashan Adhikarla; Wenxuan Ye; Yixin Liu 002; Zhaoming Kong; Kai Zhang 039; et al. (CoRR, 2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. - Zhiling Yan; Weixiang Sun; Rong Zhou; Zhengqing Yuan; Kai Zhang 039; Yiwei Li 002; Tianming Liu 001; Quanzheng Li; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement. - Eashan Adhikarla; Kai Zhang 039; John W. Nicholson 001; Brian D. Davison 001 (CoRR, 2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. - Rong Zhou; Zhengqing Yuan; Zhiling Yan; Weixiang Sun; Kai Zhang 039; Yiwei Li 002; Yanfang Ye 001; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. - Mu Cai; Reuben Tan; Jianrui Zhang; Bocheng Zou; Kai Zhang 039; Feng Yao; Fangrui Zhu; Jing Gu; Yiwu Zhong; Yuzhang Shang; Yao Dou; Jaden Park; et al. (CoRR, 2024)

Secure Embedding Aggregation for Cross-Silo Federated Representation Learning. - Songze Li; Jiaxiang Tang; Jinbao Zhu; Kai Zhang 039; Lichao Sun 001; Changyu Dong (IEEE Trans. Inf. Forensics Secur., 2025)

RadFabric: Agentic AI System with Reasoning Capability for Radiology. - Wenting Chen; Yi Dong; Zhaojun Ding; Yucheng Shi; Yifan Zhou; Fang Zeng; Yijun Luo; Tianyu Lin; Yihang Su; Yichen Wu; Kai Zhang 039; Zhen Xiang; et al. (CoRR, 2025)