Youhui Bai - RankMe

15 papers A* 4B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lagom: Unleashing the Power of Communication and Computation Overlapping for Distributed LLM Training. CoRR Guanbin Xu, ZhenGuo Xu, Yuzhe Li, Youhui Bai, Ping Gong, Chaoyi Ruan, Cheng Li
2026	A*	`conf`	SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing. AAAI Zewen Jin, Shen Fu, Chengjie Tang, Youhui Bai, Shengnan Wang, Jiaan Zhu, Chizheng Fang, Ping Gong, Cheng Li
2025	J	`jnl`	A Generic, High-Performance, Compression-Aware Framework for Data Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. Hao Wu, Shiyi Wang, Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Feng Yan, Ruichuan Chen, Yinlong Xu
2025	A*	`conf`	BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. AAAI Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li
2025	J	`jnl`	BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. CoRR Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li
2025	J	`jnl`	CLO: Efficient LLM Inference System with CPU-Light KVCache Offloading via Algorithm-System Co-Design. CoRR Jiawei Yi, Ping Gong, Youhui Bai, Jiaqi Ruan, Shengnan Wang, Pengcheng Wang, Haibo Wang, Weiguang Wang, Xia Zhu, Feng Wu, Cheng Li
2025	J	`jnl`	Efficient Long-Context LLM Inference via KV Cache Clustering. CoRR Jie Hu, Shengnan Wang, Yutong He, Ping Gong, Jiawei Yi, Juncheng Zhang, Youhui Bai, Renhai Chen, Gong Zhang, Cheng Li, Kun Yuan
2025	—	`conf`	HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. ACL (Findings) Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li
2025	J	`jnl`	HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. CoRR Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li
2024	J	`jnl`	XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference. CoRR Shengnan Wang, Youhui Bai, Lin Zhang, Pingyi Zhou, Shixiong Zhao, Gong Zhang, Sen Wang, Renhai Chen, Hua Xu, Hongwei Sun
2023	J	`jnl`	A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. IEEE Trans. Parallel Distributed Syst. Peng Liang, Yu Tang, Xiaoda Zhang, Youhui Bai, Teng Su, Zhiquan Lai, Linbo Qiao, Dongsheng Li
2023	A*	`conf`	MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. HPCA Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu
2021	J	`jnl`	Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu
2021	A*	`conf`	Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu
2017	B	`conf`	PDS: An I/O-Efficient Scaling Scheme for Parity Declustered Data Layout. ICPP Zhipeng Li, Yinlong Xu, Yongkun Li, Chengjin Tian, Youhui Bai