Xuanzhe Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
99
Venues
30
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*WWW16 papers
- AICWS10 papers
- NationalNSDI9 papers
- A*SIGCOMM7 papers
- A*MOBICOM6 papers
- A*ASPLOS5 papers
- A*SOSP5 papers
- A*ICSE5 papers
- AEuroSys3 papers
- AMobisys3 papers
- UnrankedSENSYS3 papers
- A*OSDI3 papers
- A*SIGMETRICS2 papers
- AIMC2 papers
- AICDCS2 papers
- BCOMPSAC2 papers
- AMiddleware2 papers
- AOOPSLA2 papers
- A*AAAI1 paper
- A*ACL1 paper
- A*SIGIR1 paper
- AUSENIX1 paper
- ARTSS1 paper
- AICSOC1 paper
- A*IJCAI1 paper
- ARTAS1 paper
- AWSDM1 paper
- AICWSM1 paper
- BIWQoS1 paper
- BSERVICES1 paper
Papers
99 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | BAMAS: Structuring Budget-Aware Multi-Agent Systems. | Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen |
| 2026 | EuroSys | 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, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu |
| 2026 | EuroSys | Serverless Replication of Object Storage across Multi-Vendor Clouds and Regions. | Junyi Shu, Xiaolong Huang, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin |
| 2026 | Mobisys | ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference. | Wangsong Yin, Daliang Xu, Mengwei Xu, Gang Huang, Xuanzhe Liu |
| 2026 | NSDI | HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds. | Chiheng Lou, Sheng Qi, Chao Jin, Dapeng Nie, Haoran Yang, Yu Ding, Xuanzhe Liu, Xin Jin |
| 2026 | NSDI | KUBEDIRECT: Unleashing the Full Power of the Cluster Manager for Serverless Computing. | Sheng Qi, Zhiquan Zhang, Xuanzhe Liu, Xin Jin |
| 2026 | NSDI | FastServe: Iteration-Level Preemptive Scheduling for Large Language Model Inference. | Bingyang Wu, Yinmin Zhong, Zili Zhang, Shengyu Liu, Fangyue Liu, Yuanhang Sun, Gang Huang, Xuanzhe Liu, Xin Jin |
| 2026 | NSDI | DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint. | Ruidong Zhu, Mingcong Han, Yinmin Zhong, Wencong Xiao, Xuanzhe Liu, Xin Jin |
| 2026 | SENSYS | An Efficient Context Management System for On-Device LLMaaS. | Wangsong Yin, Mengwei Xu, Yuanchun Li, Xuanzhe Liu |
| 2025 | ACL | FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. | Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo |
| 2025 | ASPLOS | Fast On-device LLM Inference with NPUs. | Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Gang Huang, Mengwei Xu, Xuanzhe Liu |
| 2025 | MOBICOM | Demo: Emulating Space Computing Networks with RHONE. | Liying Wang, Qirui Liu, Qing Li, Shangguang Wang, Xuanzhe Liu, Chenren Xu |
| 2025 | MOBICOM | Elastic On-Device LLM Service. | Wangsong Yin, Rongjie Yi, Daliang Xu, Gang Huang, Mengwei Xu, Xuanzhe Liu |
| 2025 | NSDI | MeshTest: End-to-End Testing for Service Mesh Traffic Management. | Naiqian Zheng, Tianshuo Qiao, Xuanzhe Liu, Xin Jin |
| 2025 | SIGIR | WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers. | Mugeng Liu, Siqi Zhong, Qi Yang, Yudong Han, Xuanzhe Liu, Yun Ma |
| 2025 | SIGCOMM | MegaScale-Infer: Efficient Mixture-of-Experts Model Serving 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, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu |
| 2025 | USENIX | Emulating Space Computing Networks with RHONE. | Liying Wang, Qing Li, Yuhan Zhou, Zhaofeng Luo, Donghao Zhang, Shangguang Wang, Xuanzhe Liu, Chenren Xu |
| 2025 | SOSP | Aegaeon: Effective GPU Pooling for Concurrent LLM Serving on the Market. | Yuxing Xiang, Xue Li, Kun Qian, Yufan Yang, Diwen Zhu, Wenyuan Yu, Ennan Zhai, Xuanzhe Liu, Xin Jin, Jingren Zhou |
| 2024 | ASPLOS | MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. | Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang |
| 2024 | ASPLOS | SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. | Daliang Xu, Mengwei Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu |
| 2024 | NSDI | Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining. | Zili Zhang, Fangyue Liu, Gang Huang, Xuanzhe Liu, Xin Jin |
| 2024 | OSDI | Burstable Cloud Block Storage with Data Processing Units. | Junyi Shu, Kun Qian, Ennan Zhai, Xuanzhe Liu, Xin Jin |
| 2024 | OSDI | dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. | Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin |
| 2024 | OSDI | 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, Hao Zhang |
| 2024 | WWW | 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 |
| 2024 | SENSYS | PieBridge: Fast and Parameter-Efficient On-Device Training via Proxy Networks. | Wangsong Yin, Daliang Xu, Gang Huang, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu |
| 2024 | RTSS | Exploring Real-Time Satellite Computing: From Energy and Thermal Perspectives. | Qing Li, Shangguang Wang, Chenren Xu, Xiao Ma, Mengwei Xu, Ao Zhou, Ruolin Xing, Boyuan Yang, Zuo Zhu, Ying Zhang, Xuanzhe Liu |
| 2024 | SOSP | LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism. | Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin |
| 2023 | ASPLOS | ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning. | Diandian Gu, Yihao Zhao, Yinmin Zhong, Yifan Xiong, Zhenhua Han, Peng Cheng, Fan Yang, Gang Huang, Xin Jin, Xuanzhe Liu |
| 2023 | ASPLOS | Disaggregated RAID Storage in Modern Datacenters. | Junyi Shu, Ruidong Zhu, Yun Ma, Gang Huang, Hong Mei, Xuanzhe Liu, Xin Jin |
| 2023 | ICSOC | Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors. | Daliang Xu, Qing Li, Mengwei Xu, Kang Huang, Gang Huang, Shangguang Wang, Xin Jin, Yun Ma, Xuanzhe Liu |
| 2023 | NSDI | POLYCORN: Data-driven Cross-layer Multipath Networking for High-speed Railway through Composable Schedulerlets. | Yunzhe Ni, Feng Qian, Taide Liu, Yihua Cheng, Zhiyao Ma, Jing Wang, Zhongfeng Wang, Gang Huang, Xuanzhe Liu, Chenren Xu |
| 2023 | NSDI | Transparent GPU Sharing in Container Clouds for Deep Learning Workloads. | Bingyang Wu, Zili Zhang, Zhihao Bai, Xuanzhe Liu, Xin Jin |
| 2023 | NSDI | Fast, Approximate Vector Queries on Very Large Unstructured Datasets. | Zili Zhang, Chao Jin, Linpeng Tang, Xuanzhe Liu, Xin Jin |
| 2023 | SIGCOMM | Ditto: Efficient Serverless Analytics with Elastic Parallelism. | Chao Jin, Zili Zhang, Xingyu Xiang, Songyun Zou, Gang Huang, Xuanzhe Liu, Xin Jin |
| 2023 | SIGCOMM | 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 |
| 2023 | SIGCOMM | Klotski: Efficient and Safe Network Migration of Large Production Datacenters. | Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin |
| 2023 | SOSP | Halfmoon: Log-Optimal Fault-Tolerant Stateful Serverless Computing. | Sheng Qi, Xuanzhe Liu, Xin Jin |
| 2023 | SOSP | Automated Verification of an In-Production DNS Authoritative Engine. | 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 |
| 2022 | MOBICOM | Mandheling: mixed-precision on-device DNN training with DSP offloading. | Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu |
| 2022 | Mobisys | Melon: breaking the memory wall for resource-efficient on-device machine learning. | Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu |
| 2022 | WWW | A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. | Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu |
| 2022 | SIGCOMM | Multi-resource interleaving for deep learning training. | Yihao Zhao, Yuanqiang Liu, Yanghua Peng, Yibo Zhu, Xuanzhe Liu, Xin Jin |
| 2022 | SIGCOMM | Meissa: scalable network testing for programmable data planes. | Naiqian Zheng, Mengqi Liu, Ennan Zhai, Hongqiang Harry Liu, Yifan Li, Kaicheng Yang, Xuanzhe Liu, Xin Jin |
| 2022 | SIGMETRICS | MalRadar: Demystifying Android Malware in the New Era. | Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, Xuanzhe Liu |
| 2021 | IMC | From cloud to edge: a first look at public edge platforms. | Mengwei Xu, Zhe Fu, Xiao Ma, Li Zhang, Yanan Li, Feng Qian, Shangguang Wang, Ke Li, Jingyu Yang, Xuanzhe Liu |
| 2021 | ICSE | An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. | Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu |
| 2021 | ICWS | Software Services Engineering Manifesto - A Cross-Cutting Declaration. | Carl K. Chang, Paolo Ceravolo, Rong N. Chang, Sumi Helal, Zhi Jin, Xuanzhe Liu, Ming Hua |
| 2021 | WWW | Demystifying Illegal Mobile Gambling Apps. | Yuhao Gao, Haoyu Wang, Li Li, Xiapu Luo, Guoai Xu, Xuanzhe Liu |
| 2021 | WWW | DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. | Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu |
| 2021 | WWW | A Longitudinal Study of Removed Apps in iOS App Store. | Fuqi Lin, Haoyu Wang, Liu Wang, Xuanzhe Liu |
| 2021 | WWW | Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. | Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu |
| 2021 | SIGCOMM | Cost-effective data analytics across multiple cloud regions. | Junyi Shu, Xin Jin, Yun Ma, Xuanzhe Liu, Gang Huang |
| 2020 | IJCAI | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). | Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2020 | MOBICOM | 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, Xuanzhe Liu |
| 2020 | MOBICOM | A query engine for zero-streaming cameras. | Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin |
| 2020 | Mobisys | Approximate query service on autonomous IoT cameras. | Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin |
| 2020 | SENSYS | MobiPose: real-time multi-person pose estimation on mobile devices. | Jinrui Zhang, Deyu Zhang, Xiaohui Xu, Fucheng Jia, Yunxin Liu, Xuanzhe Liu, Ju Ren, Yaoxue Zhang |
| 2020 | SIGMETRICS | Understanding (Mis)Behavior on the EOSIO Blockchain. | Yuheng Huang, Haoyu Wang, Lei Wu, Gareth Tyson, Xiapu Luo, Run Zhang, Xuanzhe Liu, Gang Huang, Xuxian Jiang |
| 2019 | ICDCS | Software-Defined Infrastructure for Decentralized Data Lifecycle Governance: Principled Design and Open Challenges. | Gang Huang, Chaoran Luo, Kaidong Wu, Yun Ma, Ying Zhang, Xuanzhe Liu |
| 2019 | ICWS | A First Look at Instant Service Consumption with Quick Apps on Mobile Devices. | Yi Liu, Enze Xu, Yun Ma, Xuanzhe Liu |
| 2019 | WWW | Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. | Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu |
| 2019 | WWW | Moving Deep Learning into Web Browser: How Far Can We Go? | Yun Ma, Dongwei Xiang, Shuyu Zheng, Deyu Tian, Xuanzhe Liu |
| 2019 | WWW | A First Look at Deep Learning Apps on Smartphones. | Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu |
| 2019 | RTAS | PIFA: An Intelligent Phase Identification and Frequency Adjustment Framework for Time-Sensitive Mobile Computing. | Xia Zhang, Xusheng Xiao, Liang He, Yun Ma, Yangyang Huang, Xuanzhe Liu, Wenyao Xu, Cong Liu |
| 2018 | EuroSys | Power sandbox: power awareness redefined. | Liwei Guo, Tiantu Xu, Mengwei Xu, Xuanzhe Liu, Felix Xiaozhu Lin |
| 2018 | ICDCS | Rethinking Resource Management in Mobile Web: Measurement, Deployment, and Runtime. | Xuanzhe Liu, Yun Ma, Felix Xiaozhu Lin |
| 2018 | ICSE | A detailed and real-time performance monitoring framework for blockchain systems. | Peilin Zheng, Zibin Zheng, Xiapu Luo, Xiangping Chen, Xuanzhe Liu |
| 2018 | MOBICOM | DeepCache: Principled Cache for Mobile Deep Vision. | Mengwei Xu, Mengze Zhu, Yunxin Liu, Felix Xiaozhu Lin, Xuanzhe Liu |
| 2018 | WWW | Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. | Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu |
| 2018 | WWW | Aladdin: Automating Release of Deep-Link APIs on Android. | Yun Ma, Ziniu Hu, Yunxin Liu, Tao Xie, Xuanzhe Liu |
| 2018 | WSDM | Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. | Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu |
| 2017 | ICSE | Aladdin: automating release of Android deep links to in-app content. | Yun Ma, Xuanzhe Liu, Ziniu Hu, Dian Yang, Gang Huang, Yunxin Liu, Tao Xie |
| 2017 | ICWSM | Untangling Emoji Popularity Through Semantic Embeddings. | Wei Ai, Xuan Lu, Xuanzhe Liu, Ning Wang, Gang Huang, Qiaozhu Mei |
| 2017 | IWQoS | Enabling accurate and efficient modeling-based CPU power estimation for smartphones. | Yifan Zhang, Yunxin Liu, Xuanzhe Liu, Qun Li |
| 2017 | WWW | AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets. | Mengwei Xu, Yun Ma, Xuanzhe Liu, Felix Xiaozhu Lin, Yunxin Liu |
| 2016 | ICSE | PRADA: prioritizing android devices for apps by mining large-scale usage data. | Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng |
| 2016 | ICSE | Mining usage data from large-scale Android users: challenges and opportunities. | Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng |
| 2016 | ICWS | User-Specific Rating Prediction for Mobile Applications via Weight-Based Matrix Factorization. | Jingke Meng, Zibin Zheng, Guanhong Tao, Xuanzhe Liu |
| 2016 | WWW | Voting with Their Feet: Inferring User Preferences from App Management Activities. | Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei |
| 2015 | COMPSAC | Carpet: Automating Collaborative Web-Based Process across Multiple Devices by Capture-and-Replay. | Yun Ma, Xuanzhe Liu, Zhen Huang, Hong Mei |
| 2015 | IMC | Characterizing Smartphone Usage Patterns from Millions of Android Users. | Huoran Li, Xuan Lu, Xuanzhe Liu, Tao Xie, Kaigui Bian, Felix Xiaozhu Lin, Qiaozhu Mei, Feng Feng |
| 2015 | ICWS | Characterizing RESTful Web Services Usage on Smartphones: A Tale of Native Apps and Web Apps. | Yi Liu, Xuanzhe Liu, Yun Ma, Yunxin Liu, Zibin Zheng, Gang Huang, M. Brian Blake |
| 2015 | ICWS | Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search. | Yun Ma, Xuanzhe Liu, Meihua Yu, Yunxin Liu, Qiaozhu Mei, Feng Feng |
| 2015 | WWW | A Descriptive Analysis of a Large-Scale Collection of App Management Activities. | Huoran Li, Xuanzhe Liu, Wei Ai, Qiaozhu Mei, Feng Feng |
| 2015 | WWW | Measurement and Analysis of Mobile Web Cache Performance. | Yun Ma, Xuanzhe Liu, Shuhui Zhang, Ruirui Xiang, Yunxin Liu, Tao Xie |
| 2014 | ICWS | A Graph-Based Approach to Assisting Creation of Mobile Web Applications. | Yun Ma, Xuan Lu, Yuchong Luo, Xuanzhe Liu |
| 2013 | ICWS | How Does Web Service API Evolution Affect Clients? | Jun Li, Yingfei Xiong, Xuanzhe Liu, Lu Zhang |
| 2013 | Middleware | MobiTran: tool support for refactoring PC websites to smart phones. | Yun Ma, Yimeng Fang, Xiaomin Zhu, Xuanzhe Liu, Gang Huang |
| 2013 | SOSP | Towards better CPU power management on multicore smartphones. | Yifan Zhang, Xudong Wang, Xuanzhe Liu, Yunxin Liu, Li Zhuang, Feng Zhao |
| 2012 | OOPSLA | Migration and execution of JavaScript applications between mobile devices and cloud. | Xudong Wang, Xuanzhe Liu, Ying Zhang, Gang Huang |
| 2012 | OOPSLA | Refactoring android Java code for on-demand computation offloading. | Ying Zhang, Gang Huang, Xuanzhe Liu, Wei Zhang, Hong Mei, Shunxiang Yang |
| 2011 | ICWS | Composing Data-Driven Service Mashups with Tag-Based Semantic Annotations. | Xuanzhe Liu, Qi Zhao, Gang Huang, Hong Mei, Teng Teng |
| 2010 | ICWS | Mashing-Up Rich User Interfaces for Human-Interaction in WS-BPEL. | Qi Zhao, Xuanzhe Liu, Dawei Sun, Tiancheng Liu, Ying Li, Gang Huang |
| 2010 | Middleware | Towards automatic tuning of adaptive computations in autonomic middleware. | Ying Zhang, Gang Huang, Xuanzhe Liu, Zizhan Zheng, Hong Mei |
| 2008 | ICWS | A User-Oriented Approach to Automated Service Composition. | Xuanzhe Liu, Gang Huang, Hong Mei |
| 2008 | SERVICES | An On-the-Fly Approach to Web-Based Service Composition. | Qi Zhao, Gang Huang, Jiyu Huang, Xuanzhe Liu, Hong Mei, Ying Li, Ying Chen |
| 2007 | COMPSAC | Towards End User Service Composition. | Xuanzhe Liu, Gang Huang, Hong Mei |
| 2007 | WWW | Towards service pool based approach for services discovery and subscription. | Xuanzhe Liu, Li Zhou, Gang Huang, Hong Mei |