Lansong Diao - RankMe

24 papers A 3B 1Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GAC: Stabilizing Asynchronous RL Training for LLMs via Gradient Alignment Control. CoRR Haofeng Xu, Junwei Su, Yukun Tian, Lansong Diao, Zhengping Qian, Chuan Wu
2025	—	`conf`	Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning. ASPLOS (1) Shenggan Cheng, Shengjie Lin, Lansong Diao, Hao Wu, Siyu Wang, Chang Si, Ziming Liu, Xuanlei Zhao, Jiangsu Du, Wei Lin, Yang You
2025	—	`conf`	DyOrc: Efficient Serving of Dynamic Machine Learning Workflows. SoCC Shiwei Zhang, Lansong Diao, Zisheng Meng, Siyu Wang, Wei Lin, Chuan Wu
2025	J	`jnl`	MixCache: Mixture-of-Cache for Video Diffusion Transformer Acceleration. CoRR Yuanxin Wei, Lansong Diao, Bujiao Chen, Shenggan Cheng, Zhengping Qian, Wenyuan Yu, Nong Xiao, Wei Lin, Jiangsu Du
2025	J	`jnl`	SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation. CoRR Shenggan Cheng, Yuanxin Wei, Lansong Diao, Yong Liu, Bujiao Chen, Lianghua Huang, Yu Liu, Wenyuan Yu, Jiangsu Du, Wei Lin, Yang You
2024	—	`conf`	FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms. SoCC Xiaoyang Zhao, Siran Yang, Jiamang Wang, Lansong Diao, Lin Qu, Chuan Wu
2024	A	`conf`	HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. EuroSys Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin
2024	J	`jnl`	HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. CoRR Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin
2023	J	`jnl`	Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches. CoRR Siyu Wang, Zongyan Cao, Chang Si, Lansong Diao, Jiamang Wang, Wei Lin
2023	J	`jnl`	Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform. CoRR Shiwei Zhang, Lansong Diao, Siyu Wang, Zongyan Cao, Yiliang Gu, Chang Si, Ziji Shi, Zhen Zheng, Chuan Wu, Wei Lin
2023	J	`jnl`	Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment. IEEE Trans. Parallel Distributed Syst. Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
2023	J	`jnl`	Expediting Distributed DNN Training with Device Topology-Aware Graph Deployment. CoRR Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
2022	—	`conf`	Accelerating large-scale distributed neural network training with SPMD parallelism. SoCC Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin
2022	J	`jnl`	Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. IEEE Trans. Parallel Distributed Syst. Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
2022	J	`jnl`	Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion. CoRR Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin
2021	B	`conf`	DAPPLE: a pipelined data parallel approach for training large models. PPoPP Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2021	—	`conf`	DISC: A Dynamic Shape Compiler for Machine Learning Workloads. EuroMLSys@EuroSys Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
2021	J	`jnl`	DISC: A Dynamic Shape Compiler for Machine Learning Workloads. CoRR Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin
2020	J	`jnl`	Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. CoRR Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin
2020	J	`jnl`	DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. CoRR Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin
2020	J	`jnl`	FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. CoRR Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin
2020	A	`conf`	Optimizing distributed training deployment in heterogeneous GPU clusters. CoNEXT Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin
2019	A	`conf`	PAI-FCNN: FPGA Based CNN Inference System. FPGA Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin
2019	—	`conf`	PAI-FCNN: FPGA Based Inference System for Complex CNN Models. ASAP Lixue Xia, Lansong Diao, Zhao Jiang, Hao Liang, Kai Chen, Li Ding, Shunli Dou, Zibin Su, Meng Sun, Jiansong Zhang, Wei Lin