Congjie He

According to our database, Congjie He authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

WaferLLM: A Wafer-Scale LLM Inference System.

Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai

CoRR, February, 2025

WaferLLM: Large Language Model Inference at Wafer Scale.

Congjie He, Yeqi Huang, Pei Mu, Ziming Miao, Jilong Xue, Lingxiao Ma, Fan Yang, Luo Mai

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

2024

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, Edoardo M. Ponti, Luo Mai

CoRR, 2024

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, Peter R. Pietzuch, Luo Mai

CoRR, 2023

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models.

Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

Proceedings of the International Conference on Machine Learning, 2023

2021

Dyna-PTM: OD-enhanced GCN for Metro Passenger Flow Prediction.

Congjie He, Haowei Wang, Xinrui Jiang, Meng Ma, Ping Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Extract interpretability-accuracy balanced rules from artificial neural networks: A review.

Congjie He, Meng Ma, Ping Wang

Neurocomputing, 2020