Zihao Ye

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Chronic Disease

Long Range Correlations

Message Passing

Top Venues

Publications

Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR (2024)
Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. MLSys (2024)
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
Punica: Multi-Tenant LoRA Serving. MLSys (2024)
Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys (2024)
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, Arvind Krishnamurthy
Punica: Multi-Tenant LoRA Serving. CoRR (2023)
Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. MLSys (2022)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR (2020)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
DGL-KE: Training Knowledge Graph Embeddings at Scale. CoRR (2020)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: a flexible and efficient backend for graph neural network systems. SC (2020)
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis
DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR (2020)
Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
Transformer on a Diet. CoRR (2020)
Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR (2019)
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang
BP-Transformer: Modelling Long-Range Context via Binary Partitioning. CoRR (2019)