Genghan Zhang

18 papers A* 2Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
Streaming Tensor Programs: A Streaming Abstraction for Dynamic Parallelism.
ASPLOS (2)
Gina Sohn, Genghan Zhang, Konstantin Hoßfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun
2025 J jnl
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization.
CoRR
Genghan Zhang, Shaowei Zhu, Anjiang Wei, Zhenyu Song, Allen Nie, Zhen Jia, Nandita Vijaykumar, Yida Wang, Kunle Olukotun
2025 A* conf
Adaptive Self-improvement LLM Agentic System for ML Library Development.
ICML
Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun
2025 J jnl
Adaptive Self-improvement LLM Agentic System for ML Library Development.
CoRR
Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun
2025 A* conf
Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
ICML
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2025 J jnl
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity.
CoRR
Weixin Liang, Junhong Shen, Genghan Zhang, Ning Dong, Luke Zettlemoyer, Lili Yu
2025 J jnl
Streaming Tensor Program: A streaming abstraction for dynamic parallelism.
CoRR
Gina Sohn, Genghan Zhang, Konstantin Hoßfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun
2024 J jnl
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models.
CoRR
Je-Yong Lee, Donghyun Lee, Genghan Zhang, Mo Tiwari, Azalia Mirhoseini
2024 J jnl
Compilation of Modular and General Sparse Workspaces.
CoRR
Genghan Zhang, Olivia Hsu, Fredrik Kjolstad
2024 J jnl
Compilation of Modular and General Sparse Workspaces.
Proc. ACM Program. Lang.
Genghan Zhang, Olivia Hsu, Fredrik Kjolstad
2024 — conf
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning.
ASPLOS (3)
Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang
2024 J jnl
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU.
CoRR
Zhongming Yu, Genghan Zhang, Hanxian Huang, Xin Chen, Jishen Zhao
2024 J jnl
Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
CoRR
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2024 J jnl
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression.
CoRR
Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2023 J jnl
Canvas: End-to-End Kernel Architecture Search in Neural Networks.
CoRR
Chenggang Zhao, Genghan Zhang, Mingyu Gao
2023 — conf
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs.
MLSys
Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang
2023 J jnl
Sgap: towards efficient sparse tensor algebra compilation for GPU.
CCF Trans. High Perform. Comput.
Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
2022 J jnl
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU.
CoRR
Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang