Extract interpretability-accuracy balanced rules from artificial neural networks: A review. - Congjie He; Meng Ma 001; Ping Wang 003 (Neurocomputing, 2020)

Dyna-PTM: OD-enhanced GCN for Metro Passenger Flow Prediction. - Congjie He; Haowei Wang; Xinrui Jiang 001; Meng Ma 001; Ping Wang 003 (IJCNN, 2021)

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. - Hanjing Wang; Man-Kit Sit; Congjie He; Ying Wen 001; Weinan Zhang 001; Jun Wang 012; Yaodong Yang 001; Luo Mai (ICML, 2023)

Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness. - Zeyuan Tan; Xiulong Yuan; Congjie He; Man-Kit Sit; Guo Li; Xiaoze Liu; Baole Ai; Kai Zeng 002; Peter R. Pietzuch; Luo Mai (CoRR, 2023)

MoE-CAP: Cost-Accuracy-Performance Benchmarking for Mixture-of-Experts Systems. - Yao Fu; Yinsicheng Jiang; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Kai Zou; et al. (CoRR, 2024)

WaferLLM: Large Language Model Inference at Wafer Scale. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (OSDI, 2025)

WaferLLM: A Wafer-Scale LLM Inference System. - Congjie He; Yeqi Huang; Pei Mu 003; Ziming Miao; Jilong Xue; Lingxiao Ma; Fan Yang 024; Luo Mai (CoRR, 2025)

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems. - Yinsicheng Jiang; Yao Fu; Yeqi Huang; Ping Nie; Zhan Lu; Leyang Xue; Congjie He; Man-Kit Sit; Jilong Xue; Li Dong; Ziming Miao; Dayou Du; et al. (CoRR, 2025)