Siyuan Feng

According to our database, Siyuan Feng authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

FalconGEMM: Surpassing Hardware Peaks with Lower-Complexity Matrix Multiplication.

Honglin Zhu, Jiaping Cao, Jiang Shao, Siyuan Feng, Qian Qiu, Peng Chen, Xu Zhang, Yixian Zhou, Man Lung Yiu, Guang Ji, Minwen Deng, Wenxi Zhu, Jintao Meng

CoRR, May, 2026

2025

Accelerating Parallel Structures in DNNs via Parallel Fusion and Operator Co-Optimization.

Zhanyuan Di, Leping Wang, Zhaojia Ma, En Shao, Jie Zhao, Ziyi Ren, Siyuan Feng, Dingwen Tao, Guangming Tan, Ninghui Sun

ACM Trans. Archit. Code Optim., September, 2025

Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging.

Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie Ruan, Yong Yu, Lingming Zhang, Tianqi Chen

Proc. ACM Softw. Eng., 2025

A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation.

Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng

Proceedings of the International Conference for High Performance Computing, 2025

Magneto: Accelerating Parallel Structures in DNNs via Co-Optimization of Operators.

Zhanyuan Di, Leping Wang, Ziyi Ren, En Shao, Jie Zhao, Siyuan Feng, Dingwen Tao, Guangming Tan, Ninghui Sun

Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

Relax: Composable Abstractions for End-to-End Dynamic Machine Learning.

Ruihang Lai, Junru Shao, Siyuan Feng, Steven Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

WebLLM: A High-Performance In-Browser LLM Inference Engine.

Charlie F. Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, Tianqi Chen

CoRR, 2024

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization.

Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng

CoRR, 2024

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development.

Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen

CoRR, 2024

2023

Effectively Scheduling Computational Graphs of Deep Neural Networks toward Their Domain-Specific Accelerators.

Jie Zhao, Siyuan Feng, Xiaoqiang Dan, Fei Liu, Chengke Wang, Sheng Yuan, Wenyuan Lv, Qikai Xie

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

TensorIR: An Abstraction for Automatic Tensorized Program Optimization.

Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Tensor Program Optimization with Probabilistic Programs.

Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.

Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li

Proceedings of the World Wide Web Conference, 2019

CoT: Cooperative Training for Generative Modeling of Discrete Data.

Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019