Wencong Xiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | NSDI | DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint. | Ruidong Zhu, Mingcong Han, Yinmin Zhong, Wencong Xiao, Xuanzhe Liu, Xin Jin |
| 2025 | ASPLOS | Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks. | 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 | HPCA | Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization. | Jianbo Dong, Bin Luo, Jun Zhang, Pengcheng Zhang, Fei Feng, Yikai Zhu, Ang Liu, Zian Chen, Yi Shi, Hairong Jiao, Gang Lu, Yu Guan, Ennan Zhai, Wencong Xiao, Hanyu Zhao, Man Yuan, Siran Yang, Xiang Li, Jiamang Wang, Rui Men, Jianwei Zhang, Chang Zhou, Dennis Cai, Yuan Xie, Binzhang Fu |
| 2025 | SOSP | Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training. | Yangtao Deng, Lei Zhang, Qinlong Wang, Xiaoyun Zhi, Xinlei Zhang, Zhuo Jiang, Haohan Xu, Lei Wang, Zuquan Song, Gaohong Liu, Yang Bai, Shuguang Wang, Wencong Xiao, Jianxi Ye, Minlan Yu, Hong Xu |
| 2025 | SOSP | Robust LLM Training Infrastructure at ByteDance. | Borui Wan, Gaohong Liu, Zuquan Song, Jun Wang, Yun Zhang, Guangming Sheng, Shuguang Wang, Houmin Wei, Chenyuan Wang, Weiqiang Lou, Xi Yang, Mofan Zhang, Kaihua Jiang, Cheng Ren, Xiaoyun Zhi, Menghan Yu, Zhe Nan, Zhuolin Zheng, Baoquan Zhong, Qinlong Wang, Huan Yu, Jinxin Chi, Wang Zhang, Yuhan Li, Zixian Du, Sida Zhao, Yongqiang Zhang, Jingzhe Tang, Zherui Liu, Chuan Wu, Yanghua Peng, Haibin Lin, Wencong Xiao, Xin Liu, Liang Xiang |
| 2024 | OSDI | Llumnix: Dynamic Scheduling for Large Language Model Serving. | Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin |
| 2024 | SIGCOMM | Crux: GPU-Efficient Communication Scheduling for Deep Learning Training. | Jiamin Cao, Yu Guan, Kun Qian, Jiaqi Gao, Wencong Xiao, Jianbo Dong, Binzhang Fu, Dennis Cai, Ennan Zhai |
| 2023 | SC | EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. | Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian |
| 2022 | NSDI | MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters. | Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding |
| 2022 | SC | CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs. | Qingxiao Sun, Yi Liu, Hailong Yang, Ruizhe Zhang, Ming Dun, Mingzhen Li, Xiaoyan Liu, Wencong Xiao, Yong Li, Zhongzhi Luan, Depei Qian |
| 2022 | USENIX | Whale: Efficient Giant Model Training over Heterogeneous GPUs. | 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 | USENIX | Zico: Efficient GPU Memory Sharing for Concurrent DNN Training. | Gangmuk Lim, Jeongseob Ahn, Wencong Xiao, Youngjin Kwon, Myeongjae Jeon |
| 2020 | ICSE | An empirical study on program failures of deep learning jobs. | Ru Zhang, Wencong Xiao, Hongyu Zhang, Yu Liu, Haoxiang Lin, Mao Yang |
| 2020 | OSDI | AntMan: Dynamic Scaling on GPU Clusters for Deep Learning. | Wencong Xiao, Shiru Ren, Yong Li, Yang Zhang, Pengyang Hou, Zhi Li, Yihui Feng, Wei Lin, Yangqing Jia |
| 2019 | AAAI | Balanced Sparsity for Efficient DNN Inference on GPU. | Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie |
| 2019 | CVPR | SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. | Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang |
| 2019 | FPGA | Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. | Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang |
| 2019 | USENIX | Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads. | Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, Fan Yang |
| 2018 | CLOUD | Scheduling CPU for GPU-based Deep Learning Jobs. | Wencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou |
| 2018 | OSDI | Gandiva: Introspective Cluster Scheduling for Deep Learning. | Wencong Xiao, Romil Bhardwaj, Ramachandran Ramjee, Muthian Sivathanu, Nipun Kwatra, Zhenhua Han, Pratyush Patel, Xuan Peng, Hanyu Zhao, Quanlu Zhang, Fan Yang, Lidong Zhou |
| 2017 | NSDI | Tux | Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou |
| 2017 | SOSP | KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC. | Bojie Li, Zhenyuan Ruan, Wencong Xiao, Yuanwei Lu, Yongqiang Xiong, Andrew Putnam, Enhong Chen, Lintao Zhang |
| 2015 | CLOUD | GraM: scaling graph computation to the trillions. | Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin, Yafei Dai, Lidong Zhou |