Xuanzhe Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 171

Top Venues

CoRR

WWW

IEEE Trans. Mob. Comput.

ICWS

Publications

Xin Jin, Zhihao Bai, Zhen Zhang, Yibo Zhu, Yinmin Zhong, Xuanzhe Liu
DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. IEEE/ACM Trans. Netw. 32 (3) (2024)
Xuanzhe Liu, Chengxu Yang, Ding Li, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen
: Practical and Efficient Control Flow Recovery through OS-level Traces. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Yixuan Zhang, Shuyu Zheng, Haoyu Wang, Lei Wu, Gang Huang, Xuanzhe Liu
VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts. ACM Trans. Model. Perform. Evaluation Comput. Syst. 9 (2) (2024)
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. CoRR (2024)
Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu
A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR (2024)
Wangsong Yin, Mengwei Xu, Yuanchun Li, Xuanzhe Liu
LLM as a System Service on Mobile Devices. CoRR (2024)
Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang
MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. ASPLOS (3) (2024)
Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, Shangguang Wang
A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection. IEEE Trans. Mob. Comput. 23 (5) (2024)
Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Gang Huang, Mengwei Xu, Xuanzhe Liu
Empowering 1000 tokens/second on-device LLM prefilling with mllm-NPU. CoRR (2024)
Weimin Chen, Xiapu Luo, Haoyu Wang, Heming Cui, Shuyu Zheng, Xuanzhe Liu
EVMBT: A Binary Translation Scheme for Upgrading EVM Smart Contracts to WASM. LCTES (2024)
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. OSDI (2024)
Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism. CoRR (2024)
Yixuan Zhang, Mugeng Liu, Haoyu Wang, Yun Ma, Gang Huang, Xuanzhe Liu
Research on WebAssembly Runtimes: A Survey. CoRR (2024)
Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin
dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. OSDI (2024)
Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR (2024)
Jinliang Yuan, Shangguang Wang, Hongyu Li, Daliang Xu, Yuanchun Li, Mengwei Xu, Xuanzhe Liu
Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs. WWW (2024)
Zili Zhang, Fangyue Liu, Gang Huang, Xuanzhe Liu, Xin Jin
Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining. NSDI (2024)
Chao Jin, Zili Zhang, Xuanlin Jiang, Fangyue Liu, Xin Liu, Xuanzhe Liu, Xin Jin
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation. CoRR (2024)
Fuqi Lin, Xuan Lu, Wei Ai, Huoran Li, Yun Ma, Yulian Yang, Hongfei Deng, Qingxiang Wang, Qiaozhu Mei, Xuanzhe Liu
Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates. ACM Trans. Web 18 (1) (2024)
Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu
Characterizing and Detecting WebAssembly Runtime Bugs. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. CoRR (2024)
Daliang Xu, Mengwei Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu
SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. ASPLOS (1) (2024)
Junyi Shu, Kun Qian, Ennan Zhai, Xuanzhe Liu, Xin Jin
Burstable Cloud Block Storage with Data Processing Units. OSDI (2024)
Sheng Qi, Chao Jin, Mosharaf Chowdhury, Zhenming Liu, Xuanzhe Liu, Xin Jin
Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. IEEE Trans. Parallel Distributed Syst. 35 (9) (2024)
Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu
FLASH: Heterogeneity-Aware Federated Learning at Scale. IEEE Trans. Mob. Comput. 23 (1) (2024)
Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Mengwei Xu, Xuanzhe Liu
WiP: Efficient LLM Prefilling with Mobile NPU. EdgeFM@MobiSys (2024)
Qing Li, Shangguang Wang, Xiao Ma, Ao Zhou, Yue Wang, Gang Huang, Xuanzhe Liu
Battery-Aware Energy Optimization for Satellite Edge Computing. IEEE Trans. Serv. Comput. 17 (2) (2024)
Bingyang Wu, Zili Zhang, Zhihao Bai, Xuanzhe Liu, Xin Jin
Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. NSDI (2023)
Daliang Xu, Qing Li, Mengwei Xu, Kang Huang, Gang Huang, Shangguang Wang, Xin Jin, Yun Ma, Xuanzhe Liu
Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors. ICSOC (1) (2023)
Diandian Gu, Xintong Xie, Gang Huang, Xin Jin, Xuanzhe Liu
Energy-Efficient GPU Clusters Scheduling for Deep Learning. CoRR (2023)
Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. ASPLOS (2) (2023)
Yi Liu, Yun Ma, Xusheng Xiao, Tao Xie, Xuanzhe Liu
LegoDroid: flexible Android app decomposition and instant installation. Sci. China Inf. Sci. 66 (4) (2023)
Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu
Revisiting the Performance of Serverless Computing: An Analysis of Variance. CoRR (2023)
Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu
Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems. CoRR (2023)
Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu
Characterizing and Detecting WebAssembly Runtime Bugs. CoRR (2023)
Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin
: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin
Klotski: Efficient and Safe Network Migration of Large Production Datacenters. SIGCOMM (2023)
Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu
Rise of the Planet of Serverless Computing: A Systematic Review. ACM Trans. Softw. Eng. Methodol. 32 (5) (2023)
Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. CoRR (2023)
Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu
SuperFlow: Performance Testing for Serverless Computing. CoRR (2023)
Junyi Shu, Ruidong Zhu, Yun Ma, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin
Disaggregated RAID Storage in Modern Datacenters. ASPLOS (3) (2023)
Yunzhe Ni, Feng Qian, Taide Liu, Yihua Cheng, Zhiyao Ma, Jing Wang, Zhongfeng Wang, Gang Huang, Xuanzhe Liu, Chenren Xu
POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. NSDI (2023)
Daliang Xu, Wangsong Yin, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu
LLMCad: Fast and Scalable On-device Large Language Model Inference. CoRR (2023)
Zili Zhang, Chao Jin, Linpeng Tang, Xuanzhe Liu, Xin Jin
Fast, Approximate Vector Queries on Very Large Unstructured Datasets. NSDI (2023)
Bingyang Wu, Yinmin Zhong, Zili Zhang, Gang Huang, Xuanzhe Liu, Xin Jin
Fast Distributed Inference Serving for Large Language Models. CoRR (2023)
Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Bingyang Wu, Kun Qian, Bo Li, Yunfei Ma, Qi Zhang, Zhigang Jiang, Jiayu Zhao, Dennis Cai, Ennan Zhai, Xuanzhe Liu, Xin Jin
XRON: A Hybrid Elastic Cloud Overlay Network for Video Conferencing at Planetary Scale. SIGCOMM (2023)
Naiqian Zheng, Mengqi Liu, Yuxing Xiang, Linjian Song, Dong Li, Feng Han, Nan Wang, Yong Ma, Zhuo Liang, Dennis Cai, Ennan Zhai, Xuanzhe Liu, Xin Jin
Automated Verification of an In-Production DNS Authoritative Engine. SOSP (2023)
Sheng Qi, Xuanzhe Liu, Xin Jin
Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. SOSP (2023)
Chao Jin, Zili Zhang, Xingyu Xiang, Songyun Zou, Gang Huang, Xuanzhe Liu, Xin Jin
Ditto: Efficient Serverless Analytics with Elastic Parallelism. SIGCOMM (2023)
Chenren Xu, Shuang Jiang, Guojie Luo, Guangyu Sun, Ning An, Gang Huang, Xuanzhe Liu
The Case for FPGA-Based Edge Computing. IEEE Trans. Mob. Comput. 21 (7) (2022)
Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu
A Literature Review on Serverless Computing. CoRR (2022)
Huoran Li, Fuqi Lin, Xuan Lu, Chenren Xu, Gang Huang, Jun Zhang, Qiaozhu Mei, Xuanzhe Liu
Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data. IEEE Trans. Mob. Comput. 21 (3) (2022)
Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, Xuanzhe Liu
MalRadar: Demystifying Android Malware in the New Era. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, Xuanzhe Liu
MalRadar: Demystifying Android Malware in the New Era. SIGMETRICS (Abstracts) (2022)
Liu Wang, Haoyu Wang, Xiapu Luo, Tao Zhang, Shangguang Wang, Xuanzhe Liu
Demystifying "removed reviews" in iOS app store. ESEC/SIGSOFT FSE (2022)
Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Guang Huang, Xin Jin, Xuanzhe Liu
Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading. CoRR (2022)
Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin
Multi-resource interleaving for deep learning training. SIGCOMM (2022)
Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu
Mandheling: mixed-precision on-device DNN training with DSP offloading. MobiCom (2022)
Naiqian Zheng, Mengqi Liu, Ennan Zhai, Hongqiang Harry Liu, Yifan Li, Kaicheng Yang, Xuanzhe Liu, Xin Jin
Meissa: scalable network testing for programmable data planes. SIGCOMM (2022)
Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. CoRR (2022)
Deyu Tian, Yun Ma, Aruna Balasubramanian, Yunxin Liu, Gang Huang, Xuanzhe Liu
Characterizing Embedded Web Browsing in Mobile Apps. IEEE Trans. Mob. Comput. 21 (11) (2022)
Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu
Software Engineering for Serverless Computing. CoRR (2022)
Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. WWW (2022)
Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu
Melon: breaking the memory wall for resource-efficient on-device machine learning. MobiSys (2022)
Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin, Xuanzhe Liu
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing. CoRR (2022)
Bowen Li, Xin Peng, Qilin Xiang, Hanzhang Wang, Tao Xie, Jun Sun, Xuanzhe Liu
Enjoy your observability: an industrial survey of microservice tracing and analysis. Empir. Softw. Eng. 27 (1) (2022)
Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. CoRR (2021)
Carl K. Chang, Paolo Ceravolo, Rong N. Chang, Sumi Helal, Zhi Jin, Xuanzhe Liu, Hua Ming
Software Services Engineering Manifesto - A Cross-Cutting Declaration. ICWS (2021)
Fuqi Lin, Haoyu Wang, Liu Wang, Xuanzhe Liu
A Longitudinal Study of Removed Apps in iOS App Store. WWW (2021)
Junyi Shu, Xin Jin, Yun Ma, Xuanzhe Liu, Gang Huang
Cost-effective data analytics across multiple cloud regions. SIGCOMM Posters and Demos (2021)
Yuhao Gao, Haoyu Wang, Li Li, Xiapu Luo, Guoai Xu, Xuanzhe Liu
Demystifying Illegal Mobile Gambling Apps. WWW (2021)
Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. WWW (2021)
Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. CoRR (2021)
Kaidong Wu, Yun Ma, Gang Huang, Xuanzhe Liu
A first look at blockchain-based decentralized applications. Softw. Pract. Exp. 51 (10) (2021)
Mengwei Xu, Yunxin Liu, Xuanzhe Liu
A Case for Camera-as-a-Service. IEEE Pervasive Comput. 20 (2) (2021)
Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu
An empirical study on challenges of application development in serverless computing. ESEC/SIGSOFT FSE (2021)
Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. ICSE (2021)
Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. WWW (2021)
Mengwei Xu, Zhe Fu, Xiao Ma, Li Zhang, Yanan Li, Feng Qian, Shangguang Wang, Ke Li, Jingyu Yang, Xuanzhe Liu
From Cloud to Edge: A First Look at Public Edge Platforms. CoRR (2021)
Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu
Demystifying Developers' Issues in Distributed Training of Deep Learning Software. CoRR (2021)
Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu
Emoji-powered Sentiment and Emotion Detection from Software Developers' Communication Data. ACM Trans. Softw. Eng. Methodol. 30 (2) (2021)
Mengwei Xu, Zhe Fu, Xiao Ma, Li Zhang, Yanan Li, Feng Qian, Shangguang Wang, Ke Li, Jingyu Yang, Xuanzhe Liu
From cloud to edge: a first look at public edge platforms. Internet Measurement Conference (2021)
Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu
TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. ESEC/SIGSOFT FSE (2021)
Mengwei Xu, Yuanqiang Liu, Kang Huang, Xuanzhe Liu, Gang Huang
Autonomous Learning System Towards Mobile Intelligence. Int. J. Softw. Informatics 11 (2) (2021)
Xuanzhe Liu, Shangguang Wang, Yun Ma, Ying Zhang, Qiaozhu Mei, Yunxin Liu, Gang Huang
Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. ACM Trans. Internet Techn. 21 (2) (2021)
Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin
A query engine for zero-streaming cameras. MobiCom (2020)
Lili Wei, Yepang Liu, Shing-Chi Cheung, Huaxun Huang, Xuan Lu, Xuanzhe Liu
Understanding and Detecting Fragmentation-Induced Compatibility Issues for Android Apps. IEEE Trans. Software Eng. 46 (11) (2020)
Xin Zhou, Yohei Murakami, Toru Ishida, Xuanzhe Liu, Gang Huang
ARM: Toward Adaptive and Robust Model for Reputation Aggregation. IEEE Trans Autom. Sci. Eng. 17 (1) (2020)
Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin
Approximate query service on autonomous IoT cameras. MobiSys (2020)
Jinrui Zhang, Deyu Zhang, Xiaohui Xu, Fucheng Jia, Yunxin Liu, Xuanzhe Liu, Ju Ren, Yaoxue Zhang
MobiPose: real-time multi-person pose estimation on mobile devices. SenSys (2020)
Mengwei Xu, Feng Qian, Mengze Zhu, Feifan Huang, Saumay Pushp, Xuanzhe Liu
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning. IEEE Trans. Mob. Comput. 19 (2) (2020)
Shuyu Zheng, Fuqi Lin, Xuan Lu, Yulian Yang, Hongfei Deng, Jun Zhang, Yun Ma, Xuanzhe Liu
Characterizing Service Access Patterns under Heterogeneous Clients. SCC (2020)
Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. CoRR (2020)
Xuanzhe Liu, Mudhakar Srivatsa, Tao Sun
IEEE International Conference on Edge Computing (EDGE 2020) Message from the Chairs. EDGE (2020)
Purui Wang, Lilei Feng, Guojun Chen, Chenren Xu, Yue Wu, Kenuo Xu, Guobin Shen, Kuntai Du, Gang Huang, Xuanzhe Liu
Renovating road signs for infrastructure-to-vehicle networking: a visible light backscatter communication and networking approach. MobiCom (2020)
M. Brian Blake, Nagarajan Kandasamy, Schahram Dustdar, Xuanzhe Liu
Internet of Bodies/Internet of Sports. IEEE Internet Comput. 24 (5) (2020)
Xuanzhe Liu, Sam X. Sun, Gang Huang
Decentralized Services Computing Paradigm for Blockchain-Based Data Governance: Programmability, Interoperability, and Intelligence. IEEE Trans. Serv. Comput. 13 (2) (2020)
Yun Ma, Ziniu Hu, Diandian Gu, Li Zhou, Qiaozhu Mei, Gang Huang, Xuanzhe Liu
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps. ACM Trans. Web 14 (3) (2020)

Xuanzhe Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xuanzhe Liu