Kezhao Huang - RankMe

16 papers A* 1A 2B 2Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	ChituDiffusion: A Data-Characteristic-Aware Serving System for Diffusion Models. PPoPP Chengzhang Wu, Liyan Zheng, Haojie Wang, Kezhao Huang, Zixuan Ma, Dong Dong, Jidong Zhai
2026	J	`jnl`	Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models. CoRR Xin Cheng, Wangding Zeng, Damai Dai, Qinyu Chen, Bingxuan Wang, Zhenda Xie, Kezhao Huang, Xingkai Yu, Zhewen Hao, Yukun Li, Han Zhang, Huishuai Zhang, Dongyan Zhao, Wenfeng Liang
2025	—	`conf`	HSampler : Optimizing Multi-GPU GNN Sampling with Collision-Avoid Selection. NPC (1) Yuyang Jin, Jidong Zhai, Kezhao Huang, Weimin Zheng
2025	—	`conf`	HypeReca: Distributed Heterogeneous In-Memory Embedding Database for Training Recommender Models. USENIX ATC Jiaao He, Shengqi Chen, Kezhao Huang, Jidong Zhai
2025	A	`conf`	IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. CGO Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai
2025	—	`conf`	mTuner: Accelerating Parameter-Efficient Fine-Tuning on Multi-GPU Servers with Elastic Tensor. USENIX ATC Kezhao Huang, Siqi Zhu, Mingshu Zhai, Liyan Zheng, Kinman Lei, Jiaao He, Yuyang Jin, Jidong Zhai
2024	J	`jnl`	FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2024	—	`conf`	PUZZLE: Efficiently Aligning Large Language Models through Light-Weight Context Switch. USENIX ATC Kinman Lei, Yuyang Jin, Mingshu Zhai, Kezhao Huang, Haoxing Ye, Jidong Zhai
2024	A	`conf`	WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations. EuroSys Kezhao Huang, Jidong Zhai, Liyan Zheng, Haojie Wang, Yuyang Jin, Qihao Zhang, Runqing Zhang, Zhen Zheng, Youngmin Yi, Xipeng Shen
2023	A*	`conf`	EINNET: Optimizing Tensor Programs with Derivation-Based Transformations. OSDI Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shuhong Huang, Xupeng Miao, Shizhi Tang, Kezhao Huang, Zhihao Jia
2023	J	`jnl`	PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR. CoRR Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai
2023	J	`jnl`	ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2022	J	`jnl`	OLLIE: Derivation-based Tensor Program Optimizer. CoRR Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia
2021	J	`jnl`	Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. Chen Zhang, Chenggang Zhao, Jiaao He, Shengqi Chen, Liyan Zheng, Kezhao Huang, Wentao Han, Jidong Zhai
2021	B	`conf`	Understanding and bridging the gaps in current GNN performance optimizations. PPoPP Kezhao Huang, Jidong Zhai, Zhen Zheng, Youngmin Yi, Xipeng Shen
2020	J	`jnl`	A Comprehensive Evaluation of RDMA-enabled Concurrency Control Protocols. CoRR Chao Wang, Kezhao Huang, Xuehai Qian