Yong Li - RankMe

40 papers A* 5A 1B 2Misc 1Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CaliEX: A Disk-Based Large-Scale GNN Training System with Joint Design of Caching and Execution. ICDE Can Su, Haipeng Zhang, Hanyu Zhao, Wenting Shen, Baole Ai, Yong Li, Kaigui Bian, Bin Cui
2025	A*	`conf`	Efficient Long Context Fine-tuning with Chunk Flow. ICML Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin
2025	J	`jnl`	Efficient Long Context Fine-tuning with Chunk Flow. CoRR Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin
2025	B	`conf`	Helios: Efficient Distributed Dynamic Graph Sampling for Online GNN Inference. PPoPP Jie Sun, Zuocheng Shi, Li Su, Wenting Shen, Zeke Wang, Yong Li, Wenyuan Yu, Wei Lin, Fei Wu, Bingsheng He, Jingren Zhou
2025	—	`conf`	Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling. MLSys Xinyi Zhang, Hanyu Zhao, Wencong Xiao, Xianyan Jia, Fei Xu, Yong Li, Wei Lin, Fangming Liu
2025	J	`jnl`	Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling. CoRR Hongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li, Weile Jia
2025	—	`conf`	Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling. ASPLOS (2) Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui
2025	B	`conf`	TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks. ICPP Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Chencan Wu, Yong Li, Xiaokui Xiao, Wei Lin, Jialin Li
2025	—	`conf`	Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks. ASPLOS (3) Yangjie Zhou, Wenting Shen, Jingwen Leng, Shuwen Lu, Zihan Liu, Weihao Cui, Zhendong Zhang, Wencong Xiao, Baole Ai, Yong Li, Wei Lin, Deze Zeng, Yun Liang, Quan Chen, Ning Liu, Minyi Guo
2025	J	`jnl`	Wan: Open and Advanced Large-Scale Video Generative Models. CoRR Ang Wang, Baole Ai, Bin Wen, Chaojie Mao, Chen-Wei Xie, Di Chen, Feiwu Yu, Haiming Zhao, Jianxiao Yang, Jianyuan Zeng, Jiayu Wang, Jingfeng Zhang, Jingren Zhou, Jinkai Wang, Jixuan Chen, Kai Zhu, Kang Zhao, Keyu Yan, Lianghua Huang, Xiaofeng Meng, Ningyi Zhang, Pandeng Li, Pingyu Wu, Ruihang Chu, Ruili Feng, Shiwei Zhang, Siyang Sun, Tao Fang, Tianxing Wang, Tianyi Gui, Tingyu Weng, Tong Shen, Wei Lin, Wei Wang, Wei Wang, Wenmeng Zhou, Wente Wang, Wenting Shen, Wenyuan Yu, Xianzhong Shi, Xiaoming Huang, Xin Xu, Yan Kou, Yangyu Lv, Yifei Li, Yijing Liu, Yiming Wang, Yingya Zhang, Yitong Huang, Yong Li, You Wu, Yu Liu, Yulin Pan, Yun Zheng, Yuntao Hong, Yupeng Shi, Yutong Feng, Zeyinzi Jiang, Zhen Han, Zhi-Fan Wu, Ziyu Liu
2024	J	`jnl`	BladeDISC++: Memory Optimizations Based On Symbolic Shape. CoRR Xiulong Yuan, Xu Yan, Wenting Shen, Xiafei Qiu, Ang Wang, Jie Zhang, Yong Li, Wei Lin
2024	J	`jnl`	Efficient Multi-Task Large Model Training via Data Heterogeneity-aware Model Management. CoRR Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui
2024	J	`jnl`	ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG. IEEE Trans. Parallel Distributed Syst. Jiaxing Qi, Wencong Xiao, Mingzhen Li, Chaojie Yang, Yong Li, Wei Lin, Hailong Yang, Zhongzhi Luan, Depei Qian
2024	J	`jnl`	Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache. CoRR Bin Lin, Tao Peng, Chen Zhang, Minmin Sun, Lanbo Li, Hanyu Zhao, Wencong Xiao, Qi Xu, Xiafei Qiu, Shen Li, Zhigang Ji, Yong Li, Wei Lin
2024	A*	`conf`	Llumnix: Dynamic Scheduling for Large Language Model Serving. OSDI Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin
2024	J	`jnl`	Llumnix: Dynamic Scheduling for Large Language Model Serving. CoRR Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin
2024	J	`jnl`	Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling. CoRR Xinyi Zhang, Hanyu Zhao, Wencong Xiao, Xianyan Jia, Fei Xu, Yong Li, Wei Lin, Fangming Liu
2023	A	`conf`	EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. SC Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian
2023	J	`jnl`	Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity. CoRR Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song
2023	J	`jnl`	Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. Proc. VLDB Endow. Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song
2023	J	`jnl`	GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. Proc. ACM Manag. Data Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin
2023	J	`jnl`	ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout. CoRR Huiyao Shu, Ang Wang, Ziji Shi, Hanyu Zhao, Yong Li, Lu Lu
2023	J	`jnl`	TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation. CoRR Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin
2023	—	`conf`	uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. ASPLOS (2) Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu
2022	J	`jnl`	EasyScale: Accuracy-consistent Elastic Training for Deep Learning. CoRR Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin
2022	Misc	`conf`	MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. NSDI Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding
2022	A*	`conf`	PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. ICDE Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng
2022	J	`jnl`	PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. CoRR Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng
2022	J	`jnl`	Structure Enhanced Graph Neural Networks for Link Prediction. CoRR Baole Ai, Zhou Qin, Wenting Shen, Yong Li
2022	—	`conf`	Whale: Efficient Giant Model Training over Heterogeneous GPUs. USENIX ATC Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin
2021	J	`jnl`	Exploring Sparse Expert Models and Beyond. CoRR An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	M6: A Chinese Multimodal Pretrainer. CoRR Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang
2020	A*	`conf`	AntMan: Dynamic Scaling on GPU Clusters for Deep Learning. OSDI Wencong Xiao, Shiru Ren, Yong Li, Yang Zhang, Pengyang Hou, Zhi Li, Yihui Feng, Wei Lin, Yangqing Jia
2020	J	`jnl`	EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin
2020	J	`jnl`	Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training. CoRR Chen Xing, Wencong Xiao, Yong Li, Wei Lin
2020	J	`jnl`	Whale: A Unified Distributed Training Framework. CoRR Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin
2019	J	`jnl`	AliGraph: A Comprehensive Graph Neural Network Platform. CoRR Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou
2019	J	`jnl`	AliGraph: A Comprehensive Graph Neural Network Platform. Proc. VLDB Endow. Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou
2016	—	`conf`	A Crowd Simulation Based UAV Control Architecture for Industrial Disaster Evacuation. VTC Spring Muzhou Xiong, Deze Zeng, Hong Yao, Yong Li