Feature Interaction Problems in Middleware Services. - Xuanzhe Liu; Gang Huang 001; Hong Mei 001 (FIW, 2005)

Towards Service Discovery and Subscription based on Community-of-Interest. - Xuanzhe Liu; Gang Huang 001; Hong Mei 001 (SOSE, 2006)

Performance Aware Service Pool in Dependable Service Oriented Architecture. - Gang Huang 001; Li Zhou; Xuanzhe Liu; Hong Mei 001; Shing-Chi Cheung (J. Comput. Sci. Technol., 2006)

An agent-based approach to composing web services to support adaptable business processes. - Hong Mei 001; Xi Sun; Xuanzhe Liu; Wenpin Jiao; Gang Huang 001 (Multiagent Grid Syst., 2006)

Towards Service Composition Based on Mashup. - Xuanzhe Liu; Yi Hui; Wei Sun 001; Haiqi Liang (IEEE SCW, 2007)

Towards End User Service Composition. - Xuanzhe Liu; Gang Huang 001; Hong Mei 001 (COMPSAC (1), 2007)

Consumer-Centric Web Services Discovery and Subscription. - Xuanzhe Liu; Li Zhou; Gang Huang 001; Hong Mei 001 (ICEBE, 2007)

A Policy-Driven Approach for Software-as-Services Customization. - Kuo Zhang; Xin Zhang 008; Wei Sun 001; Haiqi Liang; Ying Huang; Liangzhao Zeng; Xuanzhe Liu (CEC/EEE, 2007)

Towards service pool based approach for services discovery and subscription. - Xuanzhe Liu; Li Zhou; Gang Huang 001; Hong Mei 001 (WWW, 2007)

SOAR: towards dependable Service-Oriented Architecture via reflective middleware. - Gang Huang 001; Xuanzhe Liu; Hong Mei 001 (Int. J. Simul. Process. Model., 2007)

A User-Oriented Approach to Automated Service Composition. - Xuanzhe Liu; Gang Huang 001; Hong Mei 001 (ICWS, 2008)

An On-the-Fly Approach to Web-Based Service Composition. - Qi Zhao 005; Gang Huang 001; Jiyu Huang; Xuanzhe Liu; Hong Mei 001; Ying Li 012; Ying Chen 004 (SERVICES II, 2008)

A Web-Based Mashup Environment for On-the-Fly Service Composition. - Qi Zhao 005; Gang Huang 001; Jiyu Huang; Xuanzhe Liu; Hong Mei 001 (SOSE, 2008)

Online approach to feature interaction problems in middleware based system. - Gang Huang 001; Xuanzhe Liu; Hong Mei 001 (Sci. China Ser. F Inf. Sci., 2008)

Discovering Homogeneous Web Service Community in the User-Centric Web Environment. - Xuanzhe Liu; Gang Huang 001; Hong Mei 001 (IEEE Trans. Serv. Comput., 2009)

Integrating Resource Consumption and Allocation for Infrastructure Resources on-Demand. - Ying Zhang 012; Gang Huang 001; Xuanzhe Liu; Hong Mei 001 (IEEE CLOUD, 2010)

Management as a Service: An Empirical Case Study in the Internetware Cloud. - Xing Chen 002; Xuanzhe Liu; Fuzhi Fang; Xiaodong Zhang 001; Gang Huang 001 (ICEBE, 2010)

Mashing-Up Rich User Interfaces for Human-Interaction in WS-BPEL. - Qi Zhao 005; Xuanzhe Liu; Dawei Sun; Tiancheng Liu; Ying Li 012; Gang Huang 001 (ICWS, 2010)

iMashup: assisting end-user programming for the service-oriented web. - Xuanzhe Liu; Qi Zhao 005; Gang Huang 001; Zhi Jin; Hong Mei 001 (ASE, 2010)

Towards automatic tuning of adaptive computations in autonomic middleware. - Ying Zhang 012; Gang Huang 001; Xuanzhe Liu; Zizhan Zheng; Hong Mei 001 (ARM, 2010)

A Browser-Based Middleware for Service-Oriented Rich Client. - Qi Zhao 005; Xuanzhe Liu; Gang Huang 001; Jiyu Huang; Hong Mei 001 (ICSS, 2010)

A browser-based framework for data cache in Web-delivered service composition. - Jiyu Huang; Xuanzhe Liu; Qi Zhao 005; Jianzhu Ma; Gang Huang 001 (SOCA, 2010)

Towards a data access framework for service-oriented rich clients. - Qi Zhao 005; Xuanzhe Liu; Xingrun Chen; Jiyu Huang; Teng Teng; Yong Zhang (SOCA, 2010)

Service Encapsulation for Middleware Management Interfaces. - Xing Chen 002; Xuanzhe Liu; Xiaodong Zhang 001; Zhao Liu; Gang Huang 001 (SOSE, 2010)

Automated Composition of Middleware Management Services. - Zhao Liu; Xuanzhe Liu; Gang Huang 001; Teng Teng; Yong Zhang; Honggang Yuan (SOSE, 2010)

A community-centric approach to automated service composition. - Xuanzhe Liu; Gang Huang 001; Hong Mei 001 (Sci. China Inf. Sci., 2010)

Tuning Adaptive Computations for Performance Improvement of Autonomic Middleware in PaaS Cloud. - Ying Zhang 012; Gang Huang 001; Xuanzhe Liu; Hong Mei 001 (IEEE CLOUD, 2011)

Composing Data-Driven Service Mashups with Tag-Based Semantic Annotations. - Xuanzhe Liu; Qi Zhao 005; Gang Huang 001; Hong Mei 001; Teng Teng (ICWS, 2011)

iSocialMash: Convergence of social networks and services composition on a mashup framework. - Xuanzhe Liu; Ning Jiang; Qi Zhao 005; Gang Huang 001 (SOCA, 2011)

Internetware: An Emerging Software Paradigm for Internet Computing. - Hong Mei 001; Xuanzhe Liu (J. Comput. Sci. Technol., 2011)

Migration and execution of JavaScript applications between mobile devices and cloud. - Xudong Wang; Xuanzhe Liu; Ying Zhang 012; Gang Huang 001 (SPLASH, 2012)

Refactoring android Java code for on-demand computation offloading. - Ying Zhang 012; Gang Huang 001; Xuanzhe Liu; Wei Zhang 004; Hong Mei 001; Shunxiang Yang (OOPSLA, 2012)

Towards module-based automatic partitioning of Java applications. - Ying Zhang 012; Gang Huang 001; Wei Zhang 004; Xuanzhe Liu; Hong Mei 001 (Frontiers Comput. Sci., 2012)

Tuning adaptive computations for the performance improvement of applications in JEE server. - Ying Zhang 012; Gang Huang 001; Xuanzhe Liu; Hong Mei 001 (J. Internet Serv. Appl., 2012)

A data access framework for service-oriented rich clients. - Qi Zhao 005; Xuanzhe Liu; Xingrun Chen; Jiyu Huang; Gang Huang 001; Hong Mei 001 (Serv. Oriented Comput. Appl., 2012)

How Does Web Service API Evolution Affect Clients? - Jun Li; Yingfei Xiong 001; Xuanzhe Liu; Lu Zhang 023 (ICWS, 2013)

AppMobiCloud: improving mobile web applications by mobile-cloud convergence. - Xudong Wang; Xuanzhe Liu; Gang Huang 001; Yunxin Liu 001 (Internetware, 2013)

MobiTran: tool support for refactoring PC websites to smart phones. - Yun Ma 002; Yimeng Fang; Xiaomin Zhu; Xuanzhe Liu; Gang Huang 001 (Middleware Demo & Poster Track, 2013)

Model-Based Management of Service Composition. - Yun Ma 002; Xuanzhe Liu; Yihan Wu; Paul Grace (SOSE, 2013)

Towards better CPU power management on multicore smartphones. - Yifan Zhang 002; Xudong Wang; Xuanzhe Liu; Yunxin Liu 001; Li Zhuang; Feng Zhao 001 (HotPower@SOSP, 2013)

Data-driven synthesis of multiple recommendation patterns to create situational Web mashups. - Yun Ma 002; Xuan Lu; Xuanzhe Liu; Xudong Wang; M. Brian Blake (Sci. China Inf. Sci., 2013)

A Graph-Based Approach to Assisting Creation of Mobile Web Applications. - Yun Ma 002; Xuan Lu; Yuchong Luo; Xuanzhe Liu (ICWS, 2014)

Characterizing cache usage for mobile web applications. - Yun Ma 002; Xuan Lu; Shuhui Zhang; Xuanzhe Liu (Internetware, 2014)

iMashup: a mashup-based framework for service composition. - Xuanzhe Liu; Gang Huang 001; Qi Zhao 005; Hong Mei 001; M. Brian Blake (Sci. China Inf. Sci., 2014)

Carpet: Automating Collaborative Web-Based Process across Multiple Devices by Capture-and-Replay. - Yun Ma 002; Xuanzhe Liu; Zhen Huang; Hong Mei 001 (COMPSAC, 2015)

Characterizing RESTful Web Services Usage on Smartphones: A Tale of Native Apps and Web Apps. - Yi Liu 014; Xuanzhe Liu; Yun Ma 002; Yunxin Liu 001; Zibin Zheng; Gang Huang 001; M. Brian Blake (ICWS, 2015)

Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search. - Yun Ma 002; Xuanzhe Liu; Meihua Yu; Yunxin Liu 001; Qiaozhu Mei; Feng Feng 001 (ICWS, 2015)

Characterizing Smartphone Usage Patterns from Millions of Android Users. - Huoran Li; Xuan Lu; Xuanzhe Liu; Tao Xie 001; Kaigui Bian; Felix Xiaozhu Lin; Qiaozhu Mei; Feng Feng 001 (Internet Measurement Conference, 2015)

DelayDroid: Reducing Tail-Time Energy by Refactoring Android Apps. - Huaqian Cai; Ying Zhang 012; Zhi Jin; Xuanzhe Liu; Gang Huang 001 (Internetware, 2015)

A Descriptive Analysis of a Large-Scale Collection of App Management Activities. - Huoran Li; Xuanzhe Liu; Wei Ai 002; Qiaozhu Mei; Feng Feng 001 (WWW (Companion Volume), 2015)

Measurement and Analysis of Mobile Web Cache Performance. - Yun Ma 002; Xuanzhe Liu; Shuhui Zhang; Ruirui Xiang; Yunxin Liu 001; Tao Xie 001 (WWW, 2015)

Shared service recommendations from requirement specifications: A hybrid syntactic and semantic toolkit. - M. Brian Blake; Iman Saleh 002; Yi Wei 002; Ian D. Schlesinger; Alexander Yale-Loehr; Xuanzhe Liu (Inf. Softw. Technol., 2015)

Model-Based Automated Navigation and Composition of Complex Service Mashups. - Gang Huang 001; Yun Ma 002; Xuanzhe Liu; Yuchong Luo; Xuan Lu; M. Brian Blake (IEEE Trans. Serv. Comput., 2015)

Data-Driven Composition for Service-Oriented Situational Web Applications. - Xuanzhe Liu; Yun Ma 002; Gang Huang 001; Junfeng Zhao 001; Hong Mei 001; Yunxin Liu 001 (IEEE Trans. Serv. Comput., 2015)

Can HTTP/2 Really Help Web Performance on Smartphones? - Yi Liu 014; Yun Ma 002; Xuanzhe Liu; Gang Huang 001 (SCC, 2016)

Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. - Xuan Lu; Wei Ai 002; Xuanzhe Liu; Qian Li 027; Ning Wang; Gang Huang 001; Qiaozhu Mei (UbiComp, 2016)

PRADA: prioritizing android devices for apps by mining large-scale usage data. - Xuan Lu; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei; Dan Hao 001; Gang Huang 001; Feng Feng 001 (ICSE, 2016)

Mining usage data from large-scale Android users: challenges and opportunities. - Xuan Lu; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei; Dan Hao 001; Gang Huang 001; Feng Feng 001 (MOBILESoft, 2016)

User-Specific Rating Prediction for Mobile Applications via Weight-Based Matrix Factorization. - Jingke Meng; Zibin Zheng; Guanhong Tao 001; Xuanzhe Liu (ICWS, 2016)

Voting with Their Feet: Inferring User Preferences from App Management Activities. - Huoran Li; Wei Ai 002; Xuanzhe Liu; Jian Tang 005; Gang Huang 001; Feng Feng 001; Qiaozhu Mei (WWW, 2016)

ReWAP: Reducing Redundant Transfers for Mobile Web Applications via App-Specific Resource Packaging. - Xuanzhe Liu; Yun Ma 002; Shuailiang Dong; Yunxin Liu 001; Tao Xie 001; Gang Huang 001; Hong Mei 001 (CoRR, 2016)

MUIT: A Middleware for Adaptive Mobile Web-based User Interfaces in WS-BPEL. - Xuanzhe Liu; Mengwei Xu; Gang Huang 001; Teng Teng; Zibin Zheng; Hong Mei 001 (CoRR, 2016)

DroidLink: Automated Generation of Deep Links for Android Apps. - Yun Ma 002; Xuanzhe Liu; Ruogu Du; Ziniu Hu; Yi Liu 014; Meihua Yu; Gang Huang 001 (CoRR, 2016)

Demystifying the Imperfect Client-Side Cache Performance of Mobile Web Browsing. - Xuanzhe Liu; Yun Ma 002; Yunxin Liu 001; Tao Xie 001; Gang Huang 001 (IEEE Trans. Mob. Comput., 2016)

Holiday syndrome: A measurement study of mobile social network use during holidays. - Chengliang Gao; Yuanxing Zhang; Kaigui Bian; Zhuojin Li; Yichong Bai; Xuanzhe Liu (ICC, 2017)

Aladdin: automating release of Android deep links to in-app content. - Yun Ma 002; Xuanzhe Liu; Ziniu Hu; Dian Yang; Gang Huang 001; Yunxin Liu 001; Tao Xie 001 (ICSE (Companion Volume), 2017)

Untangling Emoji Popularity Through Semantic Embeddings. - Wei Ai 002; Xuan Lu; Xuanzhe Liu; Ning Wang; Gang Huang 001; Qiaozhu Mei (ICWSM, 2017)

Towards Release Strategy Optimization for Apps in Google Play. - Sheng Shen 001; Xuan Lu; Ziniu Hu; Xuanzhe Liu (Internetware, 2017)

AgileRabbit: A Feedback-Driven Offloading Middleware for Smartwatch Apps. - Meihua Yu; Yun Ma 002; Xuanzhe Liu; Gang Huang 001; Xiangqun Chen (Internetware, 2017)

Enabling accurate and efficient modeling-based CPU power estimation for smartphones. - Yifan Zhang 002; Yunxin Liu 001; Xuanzhe Liu; Qun Li 001 (IWQoS, 2017)

AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets. - Mengwei Xu; Yun Ma 002; Xuanzhe Liu; Felix Xiaozhu Lin; Yunxin Liu 001 (WWW, 2017)

DelayDroid: an instrumented approach to reducing tail-time energy of Android apps. - Gang Huang 001; Huaqian Cai; Maciej Swiech; Ying Zhang 012; Xuanzhe Liu; Peter A. Dinda (Sci. China Inf. Sci., 2017)

Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles. - Xuanzhe Liu; Huoran Li; Xuan Lu; Tao Xie 001; Qiaozhu Mei; Hong Mei 001; Feng Feng 001 (CoRR, 2017)

Flexible Installability of Android Apps with App-level Virtualization based Decomposition. - Yi Liu 014; Yun Ma 002; Xuanzhe Liu (CoRR, 2017)

Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse. - Mengwei Xu; Xuanzhe Liu; Yunxin Liu 001; Felix Xiaozhu Lin (CoRR, 2017)

PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors. - Xuan Lu; Zhenpeng Chen; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Preface. - Tao Xie 001; Yuanfang Cai; Xuanzhe Liu; Xiaoyin Wang; Mithun P. Acharya; Marcelo d'Amorim; Xiaoxing Ma (J. Comput. Sci. Technol., 2017)

ShuffleDog: Characterizing and Adapting User-Perceived Latency of Android Apps. - Gang Huang 001; Mengwei Xu; Felix Xiaozhu Lin; Yunxin Liu 001; Yun Ma 002; Saumay Pushp; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2017)

ReWAP: Reducing Redundant Transfers for Mobile Web Browsing via App-Specific Resource Packaging. - Xuanzhe Liu; Yun Ma 002; Shuailiang Dong; Yunxin Liu 001; Tao Xie 001; Gang Huang 001 (IEEE Trans. Mob. Comput., 2017)

SWAROVsky: Optimizing Resource Loading for Mobile Web Browsing. - Xuanzhe Liu; Yun Ma 002; Xinyang Wang; Yunxin Liu 001; Tao Xie 001; Gang Huang 001 (IEEE Trans. Mob. Comput., 2017)

Deriving User Preferences of Mobile Apps from Their Management Activities. - Xuanzhe Liu; Wei Ai 002; Huoran Li; Jian Tang 005; Gang Huang 001; Feng Feng 001; Qiaozhu Mei (ACM Trans. Inf. Syst., 2017)

Mining Device-Specific Apps Usage Patterns from Appstore Big Data. - Huoran Li; Xuanzhe Liu; Hong Mei 001; Qiaozhu Mei (Big Data (CCF), 2018)

Power sandbox: power awareness redefined. - Liwei Guo; Tiantu Xu; Mengwei Xu; Xuanzhe Liu; Felix Xiaozhu Lin (EuroSys, 2018)

Rethinking Resource Management in Mobile Web: Measurement, Deployment, and Runtime. - Xuanzhe Liu; Yun Ma 002; Felix Xiaozhu Lin (ICDCS, 2018)

A detailed and real-time performance monitoring framework for blockchain systems. - Peilin Zheng; Zibin Zheng; Xiapu Luo; Xiangping Chen; Xuanzhe Liu (ICSE (SEIP), 2018)

DeepCache: Principled Cache for Mobile Deep Vision. - Mengwei Xu; Mengze Zhu; Yunxin Liu 001; Felix Xiaozhu Lin; Xuanzhe Liu (MobiCom, 2018)

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. - Ziniu Hu; Weiqing Liu; Jiang Bian 002; Xuanzhe Liu; Tie-Yan Liu (WSDM, 2018)

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. - Zhenpeng Chen; Xuan Lu; Wei Ai 002; Huoran Li; Qiaozhu Mei; Xuanzhe Liu (WWW, 2018)

Aladdin: Automating Release of Deep-Link APIs on Android. - Yun Ma 002; Ziniu Hu; Yunxin Liu 001; Tao Xie 001; Xuanzhe Liu (WWW, 2018)

Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data. - Huoran Li; Xuanzhe Liu; Qiaozhu Mei (CoRR, 2018)

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2018)

A First Look at Emoji Usage on GitHub: An Empirical Study. - Xuan Lu; Yanbin Cao; Zhenpeng Chen; Xuanzhe Liu (CoRR, 2018)

When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning. - Mengwei Xu; Jiawei Liu; Yuanqiang Liu; Felix Xiaozhu Lin; Yunxin Liu 001; Xuanzhe Liu (CoRR, 2018)

DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern. - Mengwei Xu; Feng Qian 001; Qiaozhu Mei; Kang Huang; Xuanzhe Liu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

A Tale of Two Fashions: An Empirical Study on the Performance of Native Apps and Web Apps on Android. - Yun Ma 002; Xuanzhe Liu; Yi Liu 014; Yunxin Liu 001; Gang Huang 001 (IEEE Trans. Mob. Comput., 2018)

i-Jacob: An Internetware-Oriented Approach to Optimizing Computation-Intensive Mobile Web Browsing. - Xuanzhe Liu; Meihua Yu; Yun Ma 002; Gang Huang 001; Hong Mei 001; Yunxin Liu 001 (ACM Trans. Internet Techn., 2018)

Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles. - Xuanzhe Liu; Huoran Li; Xuan Lu; Tao Xie 001; Qiaozhu Mei; Feng Feng 001; Hong Mei 001 (IEEE Trans. Software Eng., 2018)

Software-Defined Infrastructure for Decentralized Data Lifecycle Governance: Principled Design and Open Challenges. - Gang Huang 001; Chaoran Luo; Kaidong Wu; Yun Ma 002; Ying Zhang 012; Xuanzhe Liu (ICDCS, 2019)

A First Look at Instant Service Consumption with Quick Apps on Mobile Devices. - Yi Liu 014; Enze Xu; Yun Ma 002; Xuanzhe Liu (ICWS, 2019)

PIFA: An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing. - Xia Zhang 001; Xusheng Xiao; Liang He 002; Yun Ma 002; Yangyang Huang; Xuanzhe Liu; Wenyao Xu; Cong Liu 005 (RTAS, 2019)

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering. - Zhenpeng Chen; Yanbin Cao; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2019)

Paladin: Automated Generation of Reproducible Test Cases for Android Apps. - Yun Ma 002; Yangyang Huang; Ziniu Hu; Xusheng Xiao; Xuanzhe Liu (HotMobile, 2019)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (WWW, 2019)

Moving Deep Learning into Web Browser: How Far Can We Go? - Yun Ma 002; Dongwei Xiang; Shuyu Zheng; Deyu Tian; Xuanzhe Liu (WWW, 2019)

A First Look at Deep Learning Apps on Smartphones. - Mengwei Xu; Jiawei Liu; Yuanqiang Liu; Felix Xiaozhu Lin; Yunxin Liu 001; Xuanzhe Liu (WWW, 2019)

Supporting Video Queries on Zero-Streaming Cameras. - Mengwei Xu; Tiantu Xu; Yunxin Liu 001; Xuanzhe Liu; Gang Huang 001; Felix Xiaozhu Lin (CoRR, 2019)

Approximate Query Processing on Autonomous Cameras. - Mengwei Xu; Xiwen Zhang; Yunxin Liu 001; Xuanzhe Liu; Felix Xiaozhu Lin (CoRR, 2019)

Programming Situational Mobile Web Applications with Cloud-Mobile Convergence: An Internetware-Oriented Approach. - Gang Huang 001; Xuanzhe Liu; Yun Ma 002; Xuan Lu; Ying Zhang 012; Yingfei Xiong 001 (IEEE Trans. Serv. Comput., 2019)

MUIT: A Domain-Specific Language and its Middleware for Adaptive Mobile Web-Based User Interfaces in WS-BPEL. - Xuanzhe Liu; Mengwei Xu; Teng Teng; Gang Huang 001; Hong Mei 001 (IEEE Trans. Serv. Comput., 2019)

Characterizing Service Access Patterns under Heterogeneous Clients. - Shuyu Zheng; Fuqi Lin; Xuan Lu; Yulian Yang; Hongfei Deng; Jun Zhang; Yun Ma 002; Xuanzhe Liu (SCC, 2020)

Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams. - Pengcheng Xia; Haoyu Wang 001; Xiapu Luo; Lei Wu 012; Yajin Zhou; Guangdong Bai; Guoai Xu; Gang Huang 001; Xuanzhe Liu (eCrime, 2020)

IEEE International Conference on Edge Computing (EDGE 2020) Message from the Chairs. - Xuanzhe Liu; Mudhakar Srivatsa; Tao Sun (EDGE, 2020)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (IJCAI, 2020)

Renovating road signs for infrastructure-to-vehicle networking: a visible light backscatter communication and networking approach. - Purui Wang; Lilei Feng; Guojun Chen; Chenren Xu; Yue Wu; Kenuo Xu; Guobin Shen; Kuntai Du; Gang Huang 001; Xuanzhe Liu (MobiCom, 2020)

A query engine for zero-streaming cameras. - Mengwei Xu; Tiantu Xu; Yunxin Liu 001; Xuanzhe Liu; Gang Huang 001; Felix Xiaozhu Lin (MobiCom, 2020)

Approximate query service on autonomous IoT cameras. - Mengwei Xu; Xiwen Zhang; Yunxin Liu 001; Gang Huang 001; Xuanzhe Liu; Felix Xiaozhu Lin (MobiSys, 2020)

MobiPose: real-time multi-person pose estimation on mobile devices. - Jinrui Zhang; Deyu Zhang; Xiaohui Xu; Fucheng Jia; Yunxin Liu 001; Xuanzhe Liu; Ju Ren 001; Yaoxue Zhang (SenSys, 2020)

A comprehensive study on challenges in deploying deep learning based software. - Zhenpeng Chen; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Tao Xie 001; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2020)

Characterizing EOSIO Blockchain. - Yuheng Huang 002; Haoyu Wang 001; Lei Wu 012; Gareth Tyson; Xiapu Luo; Run Zhang; Xuanzhe Liu; Gang Huang 001; Xuxian Jiang (CoRR, 2020)

Neural Architecture Search over Decentralized Data. - Mengwei Xu; Yuxin Zhao; Kaigui Bian; Gang Huang 001; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2020)

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. - Zhenpeng Chen; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Tao Xie 001; Xuanzhe Liu (CoRR, 2020)

Heterogeneity-Aware Federated Learning. - Chengxu Yang; Qipeng Wang; Mengwei Xu; Shangguang Wang; Kaigui Bian; Xuanzhe Liu (CoRR, 2020)

Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework. - Leye Wang; Di Chai; Xuanzhe Liu; Liyue Chen; Kai Chen 005 (CoRR, 2020)

Hierarchical Federated Learning through LAN-WAN Orchestration. - Jinliang Yuan; Mengwei Xu; Xiao Ma 009; Ao Zhou 001; Xuanzhe Liu; Shangguang Wang (CoRR, 2020)

Understanding Characteristics of Commodity Serverless Computing Platforms. - Jinfeng Wen; Yi Liu 014; Zhenpeng Chen; Yun Ma 002; Haoyu Wang 001; Xuanzhe Liu (CoRR, 2020)

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts. - Shuyu Zheng; Haoyu Wang 001; Lei Wu 012; Gang Huang 001; Xuanzhe Liu (CoRR, 2020)

Internet of Bodies/Internet of Sports. - M. Brian Blake; Nagarajan Kandasamy; Schahram Dustdar; Xuanzhe Liu (IEEE Internet Comput., 2020)

Understanding (Mis)Behavior on the EOSIO Blockchain. - Yuheng Huang 002; Haoyu Wang 001; Lei Wu 012; Gareth Tyson; Xiapu Luo; Run Zhang; Xuanzhe Liu; Gang Huang 001; Xuxian Jiang (Proc. ACM Meas. Anal. Comput. Syst., 2020)

ARM: Toward Adaptive and Robust Model for Reputation Aggregation. - Xin Zhou 008; Yohei Murakami; Toru Ishida 001; Xuanzhe Liu; Gang Huang 001 (IEEE Trans Autom. Sci. Eng., 2020)

DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning. - Mengwei Xu; Feng Qian 001; Mengze Zhu; Feifan Huang; Saumay Pushp; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2020)

Decentralized Services Computing Paradigm for Blockchain-Based Data Governance: Programmability, Interoperability, and Intelligence. - Xuanzhe Liu; Sam X. Sun; Gang Huang 001 (IEEE Trans. Serv. Comput., 2020)

Understanding and Detecting Fragmentation-Induced Compatibility Issues for Android Apps. - Lili Wei 001; Yepang Liu 001; Shing-Chi Cheung; Huaxun Huang; Xuan Lu; Xuanzhe Liu (IEEE Trans. Software Eng., 2020)

Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps. - Yun Ma 002; Ziniu Hu; Diandian Gu; Li Zhou; Qiaozhu Mei; Gang Huang 001; Xuanzhe Liu (ACM Trans. Web, 2020)

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. - Zhenpeng Chen; Huihan Yao; Yiling Lou; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Xuanzhe Liu (ICSE, 2021)

Software Services Engineering Manifesto - A Cross-Cutting Declaration. - Carl K. Chang; Paolo Ceravolo; Rong N. Chang; Sumi Helal; Zhi Jin; Xuanzhe Liu; Ming Hua 003 (ICWS, 2021)

From cloud to edge: a first look at public edge platforms. - Mengwei Xu; Zhe Fu; Xiao Ma 009; Li Zhang 133; Yanan Li; Feng Qian 001; Shangguang Wang; Ke Li; Jingyu Yang; Xuanzhe Liu (Internet Measurement Conference, 2021)

Cost-effective data analytics across multiple cloud regions. - Junyi Shu; Xin Jin 008; Yun Ma 002; Xuanzhe Liu; Gang Huang 001 (SIGCOMM Posters and Demos, 2021)

An empirical study on challenges of application development in serverless computing. - Jinfeng Wen; Zhenpeng Chen; Yi Liu 014; Yiling Lou; Yun Ma 002; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2021)

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. - Chengxu Yang; Yuanchun Li; Mengwei Xu; Zhenpeng Chen; Yunxin Liu 001; Gang Huang 001; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2021)

Demystifying Illegal Mobile Gambling Apps. - Yuhao Gao; Haoyu Wang 001; Li Li 029; Xiapu Luo; Guoai Xu; Xuanzhe Liu (WWW, 2021)

DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. - Jialiang Han 001; Yun Ma 002; Qiaozhu Mei; Xuanzhe Liu (WWW, 2021)

A Longitudinal Study of Removed Apps in iOS App Store. - Fuqi Lin; Haoyu Wang 001; Liu Wang 002; Xuanzhe Liu (WWW, 2021)

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. - Chengxu Yang; Qipeng Wang; Mengwei Xu; Zhenpeng Chen; Kaigui Bian; Yunxin Liu 001; Xuanzhe Liu (WWW, 2021)

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. - Xuan Lu; Wei Ai 002; Zhenpeng Chen; Yanbin Cao; Xuanzhe Liu; Qiaozhu Mei (CoRR, 2021)

Demystifying Developers' Issues in Distributed Training of Deep Learning Software. - Diandian Gu; Zhenpeng Chen; Yuanqiang Liu; Zili Zhang; Yun Ma 002; Xin Jin 008; Xuanzhe Liu (CoRR, 2021)

Autonomous Learning System Towards Mobile Intelligence. - Mengwei Xu; Yuanqiang Liu; Kang Huang; Xuanzhe Liu; Gang Huang 001 (Int. J. Softw. Informatics, 2021)

A Case for Camera-as-a-Service. - Mengwei Xu; Yunxin Liu 001; Xuanzhe Liu (IEEE Pervasive Comput., 2021)

A first look at blockchain-based decentralized applications. - Kaidong Wu; Yun Ma 002; Gang Huang 001; Xuanzhe Liu (Softw. Pract. Exp., 2021)

Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. - Xuanzhe Liu; Shangguang Wang; Yun Ma 002; Ying Zhang 012; Qiaozhu Mei; Yunxin Liu 001; Gang Huang 001 (ACM Trans. Internet Techn., 2021)

Emoji-powered Sentiment and Emotion Detection from Software Developers' Communication Data. - Zhenpeng Chen; Yanbin Cao; Huihan Yao; Xuan Lu; Xin Peng 001; Hong Mei 001; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2021)

Mandheling: mixed-precision on-device DNN training with DSP offloading. - Daliang Xu; Mengwei Xu; Qipeng Wang; Shangguang Wang; Yun Ma 002; Kang Huang; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (MobiCom, 2022)

Melon: breaking the memory wall for resource-efficient on-device machine learning. - Qipeng Wang; Mengwei Xu; Chao Jin; Xinran Dong; Jinliang Yuan; Xin Jin 008; Gang Huang 001; Yunxin Liu 001; Xuanzhe Liu (MobiSys, 2022)

Multi-resource interleaving for deep learning training. - Yihao Zhao; Yuanqiang Liu; Yanghua Peng; Yibo Zhu; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2022)

Meissa: scalable network testing for programmable data planes. - Naiqian Zheng; Mengqi Liu 001; Ennan Zhai; Hongqiang Harry Liu; Yifan Li; Kaicheng Yang 001; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2022)

Demystifying "removed reviews" in iOS app store. - Liu Wang 002; Haoyu Wang 001; Xiapu Luo; Tao Zhang 001; Shangguang Wang; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2022)

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. - Qiyang Zhang; Xiang Li 067; Xiangying Che; Xiao Ma 009; Ao Zhou 001; Mengwei Xu; Shangguang Wang; Yun Ma 002; Xuanzhe Liu (WWW, 2022)

Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading. - Daliang Xu; Mengwei Xu; Qipeng Wang; Shangguang Wang; Yun Ma 002; Kang Huang; Guang Huang; Xin Jin 008; Xuanzhe Liu (CoRR, 2022)

A Literature Review on Serverless Computing. - Jinfeng Wen; Zhenpeng Chen; Xuanzhe Liu (CoRR, 2022)

LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing. - Jinfeng Wen; Zhenpeng Chen; Ding Li 001; Junkai Chen; Yi Liu 014; Haoyu Wang 001; Xin Jin 008; Xuanzhe Liu (CoRR, 2022)

Software Engineering for Serverless Computing. - Jinfeng Wen; Zhenpeng Chen; Xuanzhe Liu (CoRR, 2022)

Enjoy your observability: an industrial survey of microservice tracing and analysis. - Bowen Li; Xin Peng 001; Qilin Xiang; Hanzhang Wang; Tao Xie 001; Jun Sun 001; Xuanzhe Liu (Empir. Softw. Eng., 2022)

MalRadar: Demystifying Android Malware in the New Era. - Liu Wang 002; Haoyu Wang 001; Ren He; Ran Tao; Guozhu Meng; Xiapu Luo; Xuanzhe Liu (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data. - Huoran Li; Fuqi Lin; Xuan Lu; Chenren Xu; Gang Huang 001; Jun Zhang; Qiaozhu Mei; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2022)

Characterizing Embedded Web Browsing in Mobile Apps. - Deyu Tian; Yun Ma 002; Aruna Balasubramanian; Yunxin Liu 001; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2022)

The Case for FPGA-Based Edge Computing. - Chenren Xu; Shuang Jiang; Guojie Luo; Guangyu Sun 003; Ning An 001; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2022)

ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. - Diandian Gu; Yihao Zhao; Yinmin Zhong; Yifan Xiong 001; Zhenhua Han; Peng Cheng 005; Fan Yang 024; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (ASPLOS (2), 2023)

Disaggregated RAID Storage in Modern Datacenters. - Junyi Shu; Ruidong Zhu; Yun Ma 002; Gang Huang 001; Hong Mei 001; Xuanzhe Liu; Xin Jin 008 (ASPLOS (3), 2023)

Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors. - Daliang Xu; Qing Li 028; Mengwei Xu; Kang Huang; Gang Huang 001; Shangguang Wang; Xin Jin 008; Yun Ma 002; Xuanzhe Liu (ICSOC (1), 2023)

POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. - Yunzhe Ni; Feng Qian 001; Taide Liu; Yihua Cheng; Zhiyao Ma; Jing Wang 077; Zhongfeng Wang; Gang Huang 001; Xuanzhe Liu; Chenren Xu (NSDI, 2023)

Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. - Bingyang Wu; Zili Zhang; Zhihao Bai; Xuanzhe Liu; Xin Jin 008 (NSDI, 2023)

Fast, Approximate Vector Queries on Very Large Unstructured Datasets. - Zili Zhang; Chao Jin; Linpeng Tang; Xuanzhe Liu; Xin Jin 008 (NSDI, 2023)

Ditto: Efficient Serverless Analytics with Elastic Parallelism. - Chao Jin; Zili Zhang; Xingyu Xiang; Songyun Zou; Gang Huang 001; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2023)

XRON: A Hybrid Elastic Cloud Overlay Network for Video Conferencing at Planetary Scale. - Bingyang Wu; Kun Qian; Bo Li; Yunfei Ma; Qi Zhang; Zhigang Jiang; Jiayu Zhao; Dennis Cai; Ennan Zhai; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2023)

Klotski: Efficient and Safe Network Migration of Large Production Datacenters. - Yihao Zhao; Xiaoxiang Zhang; Hang Zhu; Ying Zhang 022; Zhaodong Wang; Yuandong Tian; Alex Nikulkov; Joao Ferreira; Xuanzhe Liu; Xin Jin 008 (SIGCOMM, 2023)

Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. - Sheng Qi; Xuanzhe Liu; Xin Jin 008 (SOSP, 2023)

Automated Verification of an In-Production DNS Authoritative Engine. - Naiqian Zheng; Mengqi Liu 001; Yuxing Xiang; Linjian Song; Dong Li; Feng Han; Nan Wang; Yong Ma; Zhuo Liang; Dennis Cai; Ennan Zhai; Xuanzhe Liu; et al. (SOSP, 2023)

MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. - Yihao Zhao; Xin Liu 086; Shufan Liu; Xiang Li 067; Yibo Zhu; Gang Huang 001; Xuanzhe Liu; Xin Jin 008 (CoRR, 2023)

Energy-Efficient GPU Clusters Scheduling for Deep Learning. - Diandian Gu; Xintong Xie; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (CoRR, 2023)

Revisiting the Performance of Serverless Computing: An Analysis of Variance. - Jinfeng Wen; Zhenpeng Chen; Federica Sarro; Xuanzhe Liu (CoRR, 2023)

Fast Distributed Inference Serving for Large Language Models. - Bingyang Wu; Yinmin Zhong; Zili Zhang; Gang Huang 001; Xuanzhe Liu; Xin Jin 008 (CoRR, 2023)

SuperFlow: Performance Testing for Serverless Computing. - Jinfeng Wen; Zhenpeng Chen; Federica Sarro; Xuanzhe Liu (CoRR, 2023)

Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems. - Xinyue Li; Zhenpeng Chen; Jie M. Zhang; Federica Sarro; Ying Zhang 012; Xuanzhe Liu (CoRR, 2023)

LLMCad: Fast and Scalable On-device Large Language Model Inference. - Daliang Xu; Wangsong Yin; Xin Jin 008; Ying Zhang 022; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (CoRR, 2023)

LegoDroid: flexible Android app decomposition and instant installation. - Yi Liu 014; Yun Ma 002; Xusheng Xiao; Tao Xie 001; Xuanzhe Liu (Sci. China Inf. Sci., 2023)

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework. - Leye Wang; Di Chai; Xuanzhe Liu; Liyue Chen; Kai Chen 005 (IEEE Trans. Knowl. Data Eng., 2023)

FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing. - Xuanzhe Liu; Jinfeng Wen; Zhenpeng Chen; Ding Li 001; Junkai Chen; Yi Liu 014; Haoyu Wang 001; Xin Jin 008 (ACM Trans. Softw. Eng. Methodol., 2023)

Rise of the Planet of Serverless Computing: A Systematic Review. - Jinfeng Wen; Zhenpeng Chen; Xin Jin 008; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2023)

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective. - Xuanzhe Liu; Diandian Gu; Zhenpeng Chen; Jinfeng Wen; Zili Zhang; Yun Ma 002; Haoyu Wang 001; Xin Jin 008 (ACM Trans. Softw. Eng. Methodol., 2023)

2024 IEEE International Conference on Cloud Computing, Message from the Chairs. - Tevfik Kosar; Krishnan Venkateswaran; Shangguang Wang; Seetharami Seelam; Santonu Sarkar; Xuanzhe Liu (CLOUD, 2024)

MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. - Renze Chen; Zijian Ding; Size Zheng 001; Chengrui Zhang; Jingwen Leng; Xuanzhe Liu; Yun Liang 001 (ASPLOS (3), 2024)

SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. - Daliang Xu; Mengwei Xu; Chiheng Lou; Li Zhang 133; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (ASPLOS (1), 2024)

WiP: Efficient LLM Prefilling with Mobile NPU. - Daliang Xu; Hao Zhang 108; Liming Yang; Ruiqi Liu; Mengwei Xu; Xuanzhe Liu (EdgeFM@MobiSys, 2024)

EVMBT: A Binary Translation Scheme for Upgrading EVM Smart Contracts to WASM. - Weimin Chen; Xiapu Luo; Haoyu Wang 001; Heming Cui; Shuyu Zheng; Xuanzhe Liu (LCTES, 2024)

Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining. - Zili Zhang; Fangyue Liu; Gang Huang 001; Xuanzhe Liu; Xin Jin 008 (NSDI, 2024)

Burstable Cloud Block Storage with Data Processing Units. - Junyi Shu; Kun Qian; Ennan Zhai; Xuanzhe Liu; Xin Jin 008 (OSDI, 2024)

dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. - Bingyang Wu; Ruidong Zhu; Zili Zhang; Peng Sun 006; Xuanzhe Liu; Xin Jin 008 (OSDI, 2024)

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. - Yinmin Zhong; Shengyu Liu; Junda Chen; Jianbo Hu; Yibo Zhu; Xuanzhe Liu; Xin Jin 008; Hao Zhang 025 (OSDI, 2024)

Exploring Real-Time Satellite Computing: From Energy and Thermal Perspectives. - Qing Li 028; Shangguang Wang; Chenren Xu; Xiao Ma 009; Mengwei Xu; Ao Zhou 001; Ruolin Xing; Boyuan Yang; Zuo Zhu; Ying Zhang 012; Xuanzhe Liu (RTSS, 2024)

PieBridge: Fast and Parameter-Efficient On-Device Training via Proxy Networks. - Wangsong Yin; Daliang Xu; Gang Huang 001; Ying Zhang 012; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (SenSys, 2024)

LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism. - Bingyang Wu; Shengyu Liu; Yinmin Zhong; Peng Sun 006; Xuanzhe Liu; Xin Jin 008 (SOSP, 2024)

Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs. - Jinliang Yuan; Shangguang Wang; Hongyu Li; Daliang Xu; Yuanchun Li; Mengwei Xu; Xuanzhe Liu (WWW, 2024)

SDCC: software-defined collective communication for distributed training. - Xin Jin 008; Zhen Zhang 063; Yunshan Jia; Yun Ma 002; Xuanzhe Liu (Sci. China Inf. Sci., 2024)

MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. - Xuanzhe Liu; Yihao Zhao; Shufan Liu; Xiang Li 067; Yibo Zhu; Xin Liu 086; Xin Jin 008 (Sci. China Inf. Sci., 2024)

A Survey of Resource-efficient LLM and Multimodal Foundation Models. - Mengwei Xu; Wangsong Yin; Dongqi Cai 001; Rongjie Yi; Daliang Xu; Qipeng Wang; Bingyang Wu; Yihao Zhao; Chen Yang; Shihe Wang; Qiyang Zhang; Zhenyan Lu; et al. (CoRR, 2024)

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. - Qipeng Wang; Shiqi Jiang; Zhenpeng Chen; Xu Cao; Yuanchun Li; Aoyu Li; Ying Zhang 012; Yun Ma 002; Ting Cao; Xuanzhe Liu (CoRR, 2024)

LLM as a System Service on Mobile Devices. - Wangsong Yin; Mengwei Xu; Yuanchun Li; Xuanzhe Liu (CoRR, 2024)

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation. - Chao Jin; Zili Zhang; Xuanlin Jiang; Fangyue Liu; Xin Liu 086; Xuanzhe Liu; Xin Jin 008 (CoRR, 2024)

Research on WebAssembly Runtimes: A Survey. - Yixuan Zhang; Mugeng Liu; Haoyu Wang 001; Yun Ma 002; Gang Huang 001; Xuanzhe Liu (CoRR, 2024)

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. - Diandian Gu; Peng Sun 006; Qinghao Hu 004; Ting Huang; Xun Chen; Yingtong Xiong; Guoteng Wang; Qiaoling Chen; Shangchun Zhao; Jiarui Fang; Yonggang Wen 001; Tianwei Zhang 004; et al. (CoRR, 2024)

ELMS: Elasticized Large Language Models On Mobile Devices. - Wangsong Yin; Rongjie Yi; Daliang Xu; Gang Huang 001; Mengwei Xu; Xuanzhe Liu (CoRR, 2024)

Benchmarking Bias in Large Language Models during Role-Playing. - Xinyue Li; Zhenpeng Chen; Jie M. Zhang; Yiling Lou; Tianlin Li; Weisong Sun; Yang Liu 003; Xuanzhe Liu (CoRR, 2024)

Aquifer: Transparent Microsecond-Scale Scheduling for vRAN Workloads. - Yunshan Jia; Yinmin Zhong; Meng Wang 018; Jiaqi Gao; Pengyu Zhang; Xuanzhe Liu; Xin Jin 008 (IEEE Trans. Serv. Comput., 2024)

Battery-Aware Energy Optimization for Satellite Edge Computing. - Qing Li 028; Shangguang Wang; Xiao Ma 009; Ao Zhou 001; Yue Wang 072; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Serv. Comput., 2024)

FLASH: Heterogeneity-Aware Federated Learning at Scale. - Chengxu Yang; Mengwei Xu; Qipeng Wang; Zhenpeng Chen; Kang Huang; Yun Ma 002; Kaigui Bian; Gang Huang 001; Yunxin Liu 001; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2024)

Adonis: Practical and Efficient Control Flow Recovery through OS-level Traces. - Xuanzhe Liu; Chengxu Yang; Ding Li 001; Yuhan Zhou; Shaofei Li; Jiali Chen; Zhenpeng Chen (ACM Trans. Softw. Eng. Methodol., 2024)

Characterizing and Detecting WebAssembly Runtime Bugs. - Yixuan Zhang; Shangtong Cao; Haoyu Wang 001; Zhenpeng Chen; Xiapu Luo; Dongliang Mu; Yun Ma 002; Gang Huang 001; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2024)

Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates. - Fuqi Lin; Xuan Lu; Wei Ai 002; Huoran Li; Yun Ma 002; Yulian Yang; Hongfei Deng; Qingxiang Wang; Qiaozhu Mei; Xuanzhe Liu (ACM Trans. Web, 2024)

A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection. - Qiyang Zhang; Xiangying Che; Yijie Chen; Xiao Ma 009; Mengwei Xu; Schahram Dustdar; Xuanzhe Liu; Shangguang Wang (IEEE Trans. Mob. Comput., 2024)

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts. - Yixuan Zhang; Shuyu Zheng; Haoyu Wang 001; Lei Wu 012; Gang Huang 001; Xuanzhe Liu (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2024)

DistMind: Efficient Resource Disaggregation for Deep Learning Workloads. - Xin Jin 008; Zhihao Bai; Zhen Zhang 063; Yibo Zhu; Yinmin Zhong; Xuanzhe Liu (IEEE/ACM Trans. Netw., 2024)

Pyxis: Scheduling Mixed Tasks in Disaggregated Datacenters. - Sheng Qi; Chao Jin; Mosharaf Chowdhury; Zhenming Liu; Xuanzhe Liu; Xin Jin 008 (IEEE Trans. Parallel Distributed Syst., 2024)

Efficient, Scalable, and Sustainable DNN Training on SoC-Clustered Edge Servers. - Mengwei Xu; Daliang Xu; Chiheng Lou; Li Zhang 133; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2024)

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. - Junyu Luo 002; Zhizhuo Kou; Liming Yang; Xiao Luo 001; Jinsheng Huang; Zhiping Xiao 001; Jingshu Peng; Chengzhong Liu; Jiaming Ji; Xuanzhe Liu; Sirui Han; Ming Zhang 004; et al. (ACL (1), 2025)

Fast On-device LLM Inference with NPUs. - Daliang Xu; Hao Zhang 108; Liming Yang; Ruiqi Liu; Gang Huang 001; Mengwei Xu; Xuanzhe Liu (ASPLOS (1), 2025)

MeshTest: End-to-End Testing for Service Mesh Traffic Management. - Naiqian Zheng; Tianshuo Qiao; Xuanzhe Liu; Xin Jin 008 (NSDI, 2025)

WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers. - Mugeng Liu; Siqi Zhong; Qi Yang; Yudong Han; Xuanzhe Liu; Yun Ma 002 (SIGIR, 2025)

Emulating Space Computing Networks with RHONE. - Liying Wang; Qing Li 028; Yuhan Zhou; Zhaofeng Luo; Donghao Zhang; Shangguang Wang; Xuanzhe Liu; Chenren Xu (USENIX ATC, 2025)

Characterizing the app recommendation relationships in the iOS app store: a complex network's perspective. - Gang Huang 001; Fuqi Lin; Yun Ma 002; Haoyu Wang 001; Qingxiang Wang; Gareth Tyson; Xuanzhe Liu (Sci. China Inf. Sci., 2025)

ProvAudit: Enhance High-Level Privacy Inference Through System Provenance Data. - Ding Li 001; Jifan Xiao; Peng Jiang 007; Jiaping Gui; Dongjin Song; Yun Ma 002; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Dependable Secur. Comput., 2025)

Efficient Fault Tolerance for Stateful Serverless Computing with Asymmetric Logging. - Sheng Qi; Haoyu Feng; Xuanzhe Liu; Xin Jin 008 (ACM Trans. Comput. Syst., 2025)

Towards Swift Serverless LLM Cold Starts with ParaServe. - Chiheng Lou; Sheng Qi; Chao Jin; Dapeng Nie; Haoran Yang; Xuanzhe Liu; Xin Jin 008 (CoRR, 2025)

Anatomizing Deep Learning Inference in Web Browsers. - Qipeng Wang; Shiqi Jiang; Zhenpeng Chen; Xu Cao; Yuanchun Li; Aoyu Li; Yun Ma 002; Ting Cao; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2025)

GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads. - Diandian Gu; Yihao Zhao; Peng Sun 006; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Parallel Distributed Syst., 2025)

Promptware Engineering: Software Engineering for LLM Prompt Development. - Zhenpeng Chen; Chong Wang 013; Weisong Sun; Guang Yang; Xuanzhe Liu; Jie M. Zhang; Yang Liu 003 (CoRR, 2025)

Bias behind the Wheel: Fairness Testing of Autonomous Driving Systems. - Xinyue Li; Zhenpeng Chen; Jie M. Zhang; Federica Sarro; Ying Zhang 012; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2025)

MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism. - Ruidong Zhu; Ziheng Jiang; Chao Jin; Peng Wu; Cesar A. Stuardo; Dongyang Wang; Xinlei Zhang; Huaping Zhou; Haoran Wei; Yang Cheng; Jianzhe Xiao; Xinyi Zhang; et al. (CoRR, 2025)

SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference. - Yihao Zhao; Jiadun Chen; Peng Sun 006; Lei Li; Xuanzhe Liu; Xin Jin 008 (CoRR, 2025)

EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding. - Daliang Xu; Wangsong Yin; Hao Zhang 108; Xin Jin 008; Ying Zhang 012; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)

MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. - Chao Jin; Ziheng Jiang; Zhihao Bai; Zheng Zhong; Juncai Liu; Xiang Li 067; Ningxin Zheng; Xi Wang; Cong Xie; Qi Huang; Wen Heng; Yiyuan Ma; et al. (CoRR, 2025)

Resource-efficient Algorithms and Systems of Foundation Models: A Survey. - Mengwei Xu; Dongqi Cai 001; Wangsong Yin; Shangguang Wang; Xin Jin 008; Xuanzhe Liu (ACM Comput. Surv., 2025)

A First Look at Bugs in LLM Inference Engines. - Mugeng Liu; Siqi Zhong; Weichen Bi; Yixuan Zhang; Zhiyang Chen; Zhenpeng Chen; Xuanzhe Liu; Yun Ma 002 (CoRR, 2025)

From Earth to Orbit: Launch Sequence Optimization for LEO Mega-Constellations. - Tianze Huang; Qing Li 028; Chenren Xu; Mengwei Xu; Shangguang Wang; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)

Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices. - Qipeng Wang; Shiqi Jiang; Yifan Yang 004; Ruiqi Liu; Yuanchun Li; Ting Cao; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)

SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-Exit DNNs. - Qiyang Zhang; Shangguang Wang; Jinglong Guan; Praveen Kumar Donta; Xiao Ma 009; RangaRao Venkatesha Prasad; Schahram Dustdar; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)

Cannikin: No Lagger of SLO in Concurrent Multiple LoRA LLM Serving. - Ruidong Zhu; Ziyue Jiang 002; Zhi Zhang; Xin Liu 086; Xuanzhe Liu; Xin Jin 008 (IEEE Trans. Parallel Distributed Syst., 2025)