Xiaowen Chu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 34

Top Topics

Neural Architecture

Top Venues

DASFAA (Workshops)

Publications

Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. ACL (1) (2024)
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Qiang Wang, Xiaowen Chu
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture. IPDPS (2024)
Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. CoRR (2024)
Xu Han, Qiannan Yang, Xianda Chen, Xiaowen Chu, Meixin Zhu
Generating and Evolving Reward Functions for Highway Driving with Large Language Models. CoRR (2024)
Qi Li, Xiaowen Chu
Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing. ACL (Findings) (2024)
Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yang Li, Xiaowen Chu, Huaicheng Li
Missile: Fine-Grained, Hardware-Level GPU Resource Isolation for Multi-Tenant DNN Inference. CoRR (2024)
Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation. CoRR (2024)
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. AAAI (2024)
Yuxin Wang, Yuhan Chen, Zeyu Li, Zhenheng Tang, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu
Towards Efficient and Reliable LLM Serving: A Real-World Workload Study. CoRR (2024)
Xianda Chen, Xu Han, Meixin Zhu, Xiaowen Chu, PakHin Tiu, Xinhu Zheng, Yinhai Wang
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems. CoRR (2024)
Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices. MobiCom (2024)
Wanyun Zhou, Xiaowen Chu
Auto-PICNN: Automated machine learning for physics-informed convolutional neural networks. CoRR (2024)
Dayou Du, Gu Gong, Xiaowen Chu
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey. CoRR (2024)
Weile Luo, Ruibo Fan, Zeyu Li, Dayou Du, Qiang Wang, Xiaowen Chu
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture. CoRR (2024)
Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. CoRR (2023)
Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning. CoRR (2023)
Xiaowen Chu, Shadi Ibrahim, Jia Liu, Shiqiang Wang, Chuan Wu, Rongfei Zeng
Guest Editorial: Interplay Between Machine Learning and Networking Systems. IEEE Netw. 37 (4) (2023)
Changfu Xu, Yupeng Li, Xiaowen Chu, Haodong Zou, Weijia Jia, Tian Wang
SMCoEdge: Simultaneous Multi-server Offloading for Collaborative Mobile Edge Computing. ICA3PP (5) (2023)
Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR (2023)
Haodong Zou, Yupeng Li, Xiaowen Chu, Changfu Xu, Tian Wang
Improving Fairness in Coexisting 5G and Wi-Fi Network on Unlicensed Band with URLLC. IWQoS (2023)
Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR (2023)
Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension. AAAI (2023)
Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. DASFAA (Workshops) (2021)
Zhe Peng, Cheng Xu, Haixin Wang, Jinbin Huang, Jianliang Xu, Xiaowen Chu
B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics. SIGMOD Conference (2021)
Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs. CoRR (2021)
Jiyong Zhang, Xin Liu, Xiaofei Zhou, Xiaowen Chu
Leveraging graph neural networks for point-of-interest recommendations. Neurocomputing 462 (2021)
Xin He, Shihao Wang, Guohao Ying, Jiyong Zhang, Xiaowen Chu
Efficient Multi-objective Evolutionary 3D Neural Architecture Search for COVID-19 Detection with Chest CT Scans. CoRR (2021)
Xiaowen Chu, Xiaoming Fu, Baochun Li, Wei Wang, Hui Zang, Albert Y. Zomaya
Guest Editorial: Interplay between Machine Learning and Networking Systems. IEEE Netw. 35 (6) (2021)
Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, S. V. N. Vishwanathan
Embracing Structure in Data for Billion-Scale Semantic Product Search. CoRR (2021)
Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. CoRR (2021)
Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC. ICDCS (2020)
Shuoheng Yang, Yuxin Wang, Xiaowen Chu
A Survey of Deep Learning Techniques for Neural Machine Translation. CoRR (2020)
Yaping Zheng, Junda Wu, Xiaofeng Zhang, Xiaowen Chu
Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process. WI/IAT (2020)
Rongfei Zeng, Shixun Zhang, Jiaqi Wang, Xiaowen Chu
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC. CoRR (2020)
Xinxin Mei, Xiaowen Chu
Dissecting GPU Memory Hierarchy through Microbenchmarking. CoRR (2015)
Xiaowei Chen, Xiaowen Chu, Zongpeng Li
Improving sustainability of BitTorrent darknets. Peer-to-Peer Netw. Appl. 7 (4) (2014)
Xiaowen Chu, Xiaowei Chen, Adele Lu Jia, Johan A. Pouwelse, Dick H. J. Epema
Dissecting Darknets: Measurement and Performance Analysis. ACM Trans. Internet Techn. 13 (3) (2014)
Adele Lu Jia, Xiaowei Chen, Xiaowen Chu, Johan A. Pouwelse, Dick H. J. Epema
User behaviors in private BitTorrent communities. Comput. Networks 60 (2014)
Adele Lu Jia, Xiaowei Chen, Xiaowen Chu, Johan A. Pouwelse, Dick H. J. Epema
How to Survive and Thrive in a Private BitTorrent Community. ICDCN (2013)
Xiaowei Chen, Xiaowen Chu, Adele Lu Jia, Johan A. Pouwelse
Inequity of Sharing Ratio Enhancement in Darknet: Measurement and Improvement. HPCC-ICESS (2012)
Xiaowei Chen, Xiaowen Chu, Zongpeng Li
Improving Sustainability of Private P2P Communities. ICCCN (2011)
Jianliang Liu, Xiaowen Xu, Xiaowen Chu
Fine-Grained Scalable Video Caching for Heterogeneous Clients. IEEE Trans. Multim. 8 (5) (2006)