Yang Wang

According to our database, Yang Wang authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Toward CXL-Native Memory Tiering via Device-Side Profiling.

Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Guangyu Sun

CoRR, 2024

Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation.

Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou

CoRR, 2024

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation.

Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

NeoMem: Hardware/Software Co-Design for CXL-Native Memory Tiering.

Zhe Zhou, Yiqi Chen, Tao Zhang, Yang Wang, Ran Shu, Shuotao Xu, Peng Cheng, Lei Qu, Yongqiang Xiong, Jie Zhang, Guangyu Sun

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.

Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization.

Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

CoRR, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.

Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022

FlexMon: A flexible and fine-grained traffic monitor for programmable networks.

Yang Wang, Xiong Wang, Shizhong Xu, Ci He, Yasheng Zhang, Jing Ren, Shui Yu

J. Netw. Comput. Appl., 2022

Joint optimization of dynamic resource allocation and packet scheduling for virtual switches in cognitive internet of vehicles.

Yang Wang, Xiong Wang, Zhuobin Huang, Wei Li, Shizhong Xu

EURASIP J. Adv. Signal Process., 2022

Towards efficient vision transformer inference: a first study of transformers on mobile devices.

Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang

Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute.

Ningxin Zheng, Bin Lin, Quanlu Zhang, Lingxiao Ma, Yuqing Yang, Fan Yang, Yang Wang, Mao Yang, Lidong Zhou

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

Romou: rapidly generate high-performance tensor kernels for mobile GPUs.

Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

2021

NeuralMon: Graph Neural Network for Flow Measurement Allocation.

Yang Wang, Xiong Wang, Zhuobin Huang, Ci He, Yasheng Zhang, Shizhong Xu

Proceedings of the IEEE Global Communications Conference, 2021

2019

Low Complexity Hierarchical Scheduling for Diverse Datacenter Jobs.

Chaoqun You, Yang Wang, Shizhong Xu, Long Luo, Meng-Hsi Chen, Lemin Li

IEEE Commun. Lett., 2019

2018

MOSC: a method to assign the outsourcing of service function chain across multiple clouds.

Huan Chen, Xiong Wang, Yangming Zhao, Tongyu Song, Yang Wang, Shizhong Xu, Lemin Li

Comput. Networks, 2018

2016

Towards optimal outsourcing of service function chain across multiple clouds.

Huan Chen, Shizhong Xu, Xiong Wang, Yangming Zhao, Ke Li, Yang Wang, Wei Wang, Lemin Li

Proceedings of the 2016 IEEE International Conference on Communications, 2016