Chen, Zhong

11 publications

IJCAI 2025 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection over Data Streams Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu

NeurIPS 2025 AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference Che Wang, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim

AAAI 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness Heng Lian, Chen Zhao, Zhong Chen, Xingquan Zhu, My T. Thai, Yi He

TMLR 2025 Multi-Modal Foundation Models for Computational Pathology: A Survey Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K Sorger, Chen Zhao

NeurIPS 2025 SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen

ECML-PKDD 2024 Advancing Graph Counterfactual Fairness Through Fair Representation Learning Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang

MLJ 2024 Cost-Sensitive Sparse Group Online Learning for Imbalanced Data Streams Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang

ECML-PKDD 2024 Individual Fairness with Group Awareness Under Uncertainty Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang

AAAI 2024 MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo

ECML-PKDD 2023 MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data Cheng Liang, Di Wu, Yi He, Teng Huang, Zhong Chen, Xin Luo

AAAI 2023 Online Semi-Supervised Learning with Mix-Typed Streaming Features Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He