Genghan Zhang

According to our database, Genghan Zhang authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Streaming Tensor Programs: A Streaming Abstraction for Dynamic Parallelism.

Gina Sohn, Genghan Zhang, Konstantin Hoßfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization.

Genghan Zhang, Shaowei Zhu, Anjiang Wei, Zhenyu Song, Allen Nie, Zhen Jia, Nandita Vijaykumar, Yida Wang, Kunle Olukotun

CoRR, November, 2025

Streaming Tensor Program: A streaming abstraction for dynamic parallelism.

Gina Sohn, Genghan Zhang, Konstantin Hoßfeld, Jungwoo Kim, Nathan Sobotka, Nathan Zhang, Olivia Hsu, Kunle Olukotun

CoRR, November, 2025

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity.

Weixin Liang, Junhong Shen, Genghan Zhang, Ning Dong, Luke Zettlemoyer, Lili Yu

CoRR, January, 2025

Adaptive Self-improvement LLM Agentic System for ML Library Development.

Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning to (Learn at Test Time): RNNs with Expressive Hidden States.

Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Compilation of Modular and General Sparse Workspaces.

Genghan Zhang, Olivia Hsu, Fredrik Kjolstad

Proc. ACM Program. Lang., 2024

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression.

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

CoRR, 2024

CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models.

Je-Yong Lee, Donghyun Lee, Genghan Zhang, Mo Tiwari, Azalia Mirhoseini

CoRR, 2024

GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU.

Zhongming Yu, Genghan Zhang, Hanxian Huang, Xin Chen, Jishen Zhao

CoRR, 2024

FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Sgap: towards efficient sparse tensor algebra compilation for GPU.

Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang

CCF Trans. High Perform. Comput., June, 2023

Canvas: End-to-End Kernel Architecture Search in Neural Networks.

Chenggang Zhao, Genghan Zhang, Mingyu Gao

CoRR, 2023

HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs.

Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023