xShare: supporting impromptu sharing of mobile phones. - Yunxin Liu 001; Ahmad Rahmati; Yuanhe Huang; Hyukjae Jang; Lin Zhong 001; Yongguang Zhang; Shensheng Zhang (MobiSys, 2009)

Design, Realization, and Evaluation of xShare for Impromptu Sharing of Mobile Phones. - Yunxin Liu 001; Ahmad Rahmati; Hyukjae Jang; Yuanhe Huang; Lin Zhong 001; Yongguang Zhang; Shensheng Zhang (IEEE Trans. Mob. Comput., 2010)

DozyAP: power-efficient Wi-Fi tethering. - Hao Han; Yunxin Liu 001; Guobin Shen; Yongguang Zhang; Qun Li 001 (MobiSys, 2012)

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

MoodScope: building a mood sensor from smartphone usage patterns. - Robert LiKamWa; Yunxin Liu 001; Nicholas D. Lane; Lin Zhong 001 (MobiSys, 2013)

Optimizing background email sync on smartphones. - Fengyuan Xu; Yunxin Liu 001; Thomas Moscibroda; Ranveer Chandra; Long Jin; Yongguang Zhang; Qun Li 001 (MobiSys, 2013)

V-edge: Fast Self-constructive Power Modeling of Smartphones Based on Battery Voltage Dynamics. - Fengyuan Xu; Yunxin Liu 001; Qun Li 001; Yongguang Zhang (NSDI, 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)

Design, Realization, and Evaluation of DozyAP for Power-Efficient Wi-Fi Tethering. - Hao Han; Yunxin Liu 001; Guobin Shen; Yongguang Zhang; Qun Li 001; Chiu C. Tan 001 (IEEE/ACM Trans. Netw., 2014)

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)

Rethinking Energy-Performance Trade-Off in Mobile Web Page Loading. - Duc Hoang Bui; Yunxin Liu 001; Hyosu Kim; Insik Shin; Feng Zhao 001 (MobiCom, 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)

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)

Smart and Secure: Preserving Privacy in Untrusted Home Routers. - SeungSeob Lee; Hang Shi; Kun Tan; Yunxin Liu 001; SuKyoung Lee; Yong Cui 001 (APSys, 2016)

AMIL: Localizing neighboring mobile devices through a simple gesture. - Hao Han; Shanhe Yi; Qun Li 001; Guobin Shen; Yunxin Liu 001; Edmund Novak (INFOCOM Workshops, 2016)

Poster: TapSnoop - Inferring Tapstrokes from Listening to Tap Sound on Mobile Devices. - Hyosu Kim; Daehyeok Kim; Byunggill Joe; Yunxin Liu 001; Insik Shin (MobiSys (Companion Volume), 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)

RETHINKING ENERGYPERFORMANCE TRADE-OFF in Mobile Web Page Loading. - Duc Hoang Bui; Yunxin Liu 001; Hyosu Kim; Insik Shin; Feng Zhao 001 (GetMobile Mob. Comput. Commun., 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)

BikeLoc: a Real-time High-Precision Bicycle Localization System Using Synthetic Aperture Radar. - Hongjiang Lyu; Linghe Kong; Chengzhang Li; Yunxin Liu 001; Jiansong Zhang 001; Guihai Chen (APNet, 2017)

On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware. - Ruiguang Zhong; Manni Wang; Zijian Chen 003; Luyang Liu; Yunxin Liu 001; Jiansong Zhang 001; Lintao Zhang; Thomas Moscibroda (APSys, 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)

Latency-based WiFi congestion control in the air for dense WiFi networks. - Changhua Pei; Youjian Zhao; Yunxin Liu 001; Kun Tan; Jiansong Zhang 001; Yuan Meng 002; Dan Pei (IWQoS, 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)

Systematically testing background services of mobile apps. - Li Lyna Zhang; Chieh-Jan Mike Liang; Yunxin Liu 001; Enhong Chen (ASE, 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)

Behavior Recognition Based on Wi-Fi CSI: Part 1. - Bin Guo 001; Yingying (Jennifer) Chen; Nicholas D. Lane; Yunxin Liu 001; Zhiwen Yu 001 (IEEE Commun. Mag., 2017)

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

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

Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering. - Luyang Liu; Ruiguang Zhong; Wuyang Zhang; Yunxin Liu 001; Jiansong Zhang 001; Lintao Zhang; Marco Gruteser (MobiSys, 2018)

UbiTap: Leveraging Acoustic Dispersion for Ubiquitous Touch Interface on Solid Surfaces. - Hyosu Kim; Anish Byanjankar; Yunxin Liu 001; Yuanchao Shu; Insik Shin (SenSys, 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)

Behavior Recognition Based on Wi-Fi CSI: Part 2. - Bin Guo 001; Yingying (Jennifer) Chen; Nicholas D. Lane; Yunxin Liu 001; Zhiwen Yu 001 (IEEE Commun. Mag., 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)

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)

Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis. - Li Lyna Zhang; Chieh-Jan Mike Liang; Zhao Lucis Li; Yunxin Liu 001; Feng Zhao 001; Enhong Chen (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)

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. - Shijie Cao; Lingxiao Ma; Wencong Xiao; Chen Zhang 001; Yunxin Liu 001; Lintao Zhang; Lanshun Nie; Zhi Yang 001 (CVPR, 2019)

Collaborative learning between cloud and end devices: an empirical study on location prediction. - Yan Lu 006; Yuanchao Shu; Xu Tan 003; Yunxin Liu 001; Mengyu Zhou; Qi Chen 009; Dan Pei (SEC, 2019)

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. - Shijie Cao; Chen Zhang 001; Zhuliang Yao; Wencong Xiao; Lanshun Nie; De-chen Zhan; Yunxin Liu 001; Ming Wu 007; Lintao Zhang (FPGA, 2019)

DRL360: 360-degree Video Streaming with Deep Reinforcement Learning. - Yuanxing Zhang; Pengyu Zhao; Kaigui Bian; Yunxin Liu 001; Lingyang Song; Xiaoming Li 001 (INFOCOM, 2019)

Characterizing and orchestrating NFV-ready servers for efficient edge data processing. - Lu Zhang 049; Chao Li 009; Pengyu Wang 003; Yunxin Liu 001; Yang Hu 001; Quan Chen 002; Minyi Guo (IWQoS, 2019)

HotEdgeVideo'19: Workshop on Hot Topics in Video Analytics and Intelligent Edges. - Ganesh Ananthanarayanan; Yunxin Liu 001; Yuanchao Shu (MobiCom, 2019)

Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX. - Taegyeong Lee; Zhiqi Lin; Saumay Pushp; Caihua Li; Yunxin Liu 001; Youngki Lee 001; Fengyuan Xu; Chenren Xu; Lintao Zhang; Junehwa Song (MobiCom, 2019)

Live Video Analytics with FPGA-based Smart Cameras. - Shang Wang; Chen Zhang 001; Yuanchao Shu; Yunxin Liu 001 (HotEdgeVideo@MobiCom, 2019)

secGAN: A Cycle-Consistent GAN for Securely-Recoverable Video Transformation. - Hao Wu 067; Jinghao Feng; Xuejin Tian; Fengyuan Xu; Yunxin Liu 001; XiaoFeng Wang 001; Sheng Zhong 002 (HotEdgeVideo@MobiCom, 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)

Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework. - Li Lyna Zhang; Yuqing Yang 001; Yuhang Jiang; Wenwu Zhu 001; Yunxin Liu 001 (CoRR, 2019)

Profiling and optimizing deep learning inference on mobile GPUs. - Shiqi Jiang; Lihao Ran; Ting Cao; Yusen Xu; Yunxin Liu 001 (APSys, 2020)

PaGraph: Scaling GNN training on large graphs via computation-aware caching. - Zhiqi Lin; Cheng Li 001; Youshan Miao; Yunxin Liu 001; Yinlong Xu (SoCC, 2020)

Fast Hardware-Aware Neural Architecture Search. - Li Lyna Zhang; Yuqing Yang 001; Yuhang Jiang; Wenwu Zhu 001; Yunxin Liu 001 (CVPR Workshops, 2020)

SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration. - Shuang Jiang; Zhiyao Ma; Xiao Zeng; Chenren Xu; Mi Zhang 002; Chen Zhang 001; Yunxin Liu 001 (INFOCOM, 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)

EMO: real-time emotion recognition from single-eye images for resource-constrained eyewear devices. - Hao Wu 067; Jinghao Feng; Xuejin Tian; Edward Sun; Yunxin Liu 001; Bo Dong; Fengyuan Xu; Sheng Zhong 002 (MobiSys, 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)

TapSnoop: Leveraging Tap Sounds to Infer Tapstrokes on Touchscreen Devices. - Hyosu Kim; Byunggill Joe; Yunxin Liu 001 (IEEE Access, 2020)

Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices. - Gwangseon Jang; Jin-Woo Lee; Jae-Gil Lee 001; Yunxin Liu 001 (Pervasive Mob. Comput., 2020)

Dual-side Sparse Tensor Core. - Yang Wang 053; Chen Zhang 001; Zhiqiang Xie; Cong Guo 003; Yunxin Liu 001; Jingwen Leng (ISCA, 2021)

To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. - Xiaohu Tang; Shihao Han; Li Lyna Zhang; Ting Cao; Yunxin Liu 001 (MLSys, 2021)

Boosting Mobile CNN Inference through Semantic Memory. - Yun Li; Chen Zhang 001; Shihao Han; Li Lyna Zhang; Baoqun Yin; Yunxin Liu 001; Mengwei Xu (ACM Multimedia, 2021)

Flexible high-resolution object detection on edge devices with tunable latency. - Shiqi Jiang; Zhiqi Lin; Yuanchun Li; Yuanchao Shu; Yunxin Liu 001 (MobiCom, 2021)

AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs. - Manni Wang; Shaohua Ding; Ting Cao; Yunxin Liu 001; Fengyuan Xu (MobiCom, 2021)

PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation. - Hao Wu 067; Xuejin Tian; Minghao Li 003; Yunxin Liu 001; Ganesh Ananthanarayanan; Fengyuan Xu; Sheng Zhong 002 (MobiCom, 2021)

Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. - Wuyang Zhang; Zhezhi He; Luyang Liu; Zhenhua Jia; Yunxin Liu 001; Marco Gruteser; Dipankar Raychaudhuri; Yanyong Zhang (MobiCom, 2021)

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. - Dongqi Cai 001; Qipeng Wang; Yuanqiang Liu; Yunxin Liu 001; Shangguang Wang; Mengwei Xu (EMDL@MobiSys, 2021)

ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference. - Jingyu Lee; Yunxin Liu 001; Youngki Lee 001 (EMDL@MobiSys, 2021)

nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. - Li Lyna Zhang; Shihao Han; Jianyu Wei; Ningxin Zheng; Ting Cao; Yuqing Yang 001; Yunxin Liu 001 (MobiSys, 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)

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)

App Developer Centric Trusted Execution Environment. - Lizhi Sun; Shuocheng Wang; Hao Wu 067; Yuhang Gong; Fengyuan Xu; Yunxin Liu 001; Hao Han; Sheng Zhong 002 (CoRR, 2021)

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. - Divyam Madaan; Jaehong Yoon; Yuanchun Li; Yunxin Liu 001; Sung Ju Hwang (CoRR, 2021)

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. - Taesik Gong; Yewon Kim; Adiba Orzikulova; Yunxin Liu 001; Sung Ju Hwang; Jinwoo Shin; Sung-Ju Lee (CoRR, 2021)

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

nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. - Li Lyna Zhang; Shihao Han; Jianyu Wei; Ningxin Zheng; Ting Cao; Yunxin Liu 001 (GetMobile Mob. Comput. Commun., 2021)

S2Net: Preserving Privacy in Smart Home Routers. - SeungSeob Lee; Hang Shi; Kun Tan; Yunxin Liu 001; SuKyoung Lee; Yong Cui 001 (IEEE Trans. Dependable Secur. Comput., 2021)

EPASS360: QoE-Aware 360-Degree Video Streaming Over Mobile Devices. - Yuanxing Zhang; Yushuo Guan; Kaigui Bian; Yunxin Liu 001; Hu Tuo; Lingyang Song; Xiaoming Li 001 (IEEE Trans. Mob. Comput., 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)

Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. - Youhui Bai; Cheng Li 001; Zhiqi Lin; Yufei Wu 011; Youshan Miao; Yunxin Liu 001; Yinlong Xu (IEEE Trans. Parallel Distributed Syst., 2021)

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Chen Zhang 001; Ying Cao; Quanlu Zhang; Yunxin Liu 001; Fan Yang 024; Minyi Guo (ICCD, 2022)

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Xiaotian Gao; Chen Zhang 001; Yunxin Liu 001; Fan Yang 024; Yuhao Zhu 001; Minyi Guo (ICLR, 2022)

Representational Continuity for Unsupervised Continual Learning. - Divyam Madaan; Jaehong Yoon; Yuanchun Li; Yunxin Liu 001; Sung Ju Hwang (ICLR, 2022)

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. - Cong Guo 003; Chen Zhang 001; Jingwen Leng; Zihan Liu 002; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (MICRO, 2022)

Romou: rapidly generate high-performance tensor kernels for mobile GPUs. - Rendong Liang; Ting Cao; Jicheng Wen; Manni Wang; Yang Wang 053; Jianhua Zou; Yunxin Liu 001 (MobiCom, 2022)

MobiDepth: real-time depth estimation using on-device dual cameras. - Jinrui Zhang; Huan Yang; Ju Ren 001; Deyu Zhang; Bangwen He; Ting Cao; Yuanchun Li; Yaoxue Zhang; Yunxin Liu 001 (MobiCom, 2022)

CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. - Fucheng Jia; Deyu Zhang; Ting Cao; Shiqi Jiang; Yunxin Liu 001; Ju Ren 001; Yaoxue Zhang (MobiSys, 2022)

FedBalancer: data and pace control for efficient federated learning on heterogeneous clients. - Jaemin Shin 005; Yuanchun Li; Yunxin Liu 001; Sung-Ju Lee (MobiSys, 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)

TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. - Yongheng Deng; Weining Chen; Ju Ren 001; Feng Lyu 001; Yang Liu 165; Yunxin Liu 001; Yaoxue Zhang (SenSys, 2022)

Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL. - Ziyan Fu; Ju Ren 001; Yunxin Liu 001; Ting Cao; Deyu Zhang; Yuezhi Zhou; Yaoxue Zhang (SenSys, 2022)

Brisk-Yolo: A Lightweight Object Detection Algorithm for Edge Devices. - Yang Liu 165; Le Jiang; Guoming Li; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang; Aidong Yang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients. - Jaemin Shin 005; Yuanchun Li; Yunxin Liu 001; Sung-Ju Lee (CoRR, 2022)

Automation Slicing and Testing for in-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Minghao Li 003; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (CoRR, 2022)

WheelLoc: Practical and Accurate Localization for Wheeled Mobile Targets via Integrated Sensing and Communication. - Linghe Kong; Yutong Liu; Yunxin Liu 001; Le Zheng; Meikang Qiu; Guihai Chen (IEEE J. Sel. Areas Commun., 2022)

A Cloud-Edge Collaboration Framework for Cognitive Service. - Chuntao Ding; Ao Zhou 001; Yunxin Liu 001; Rong N. Chang; Ching-Hsien Hsu; Shangguang Wang (IEEE Trans. Cloud Comput., 2022)

Model Protection: Real-Time Privacy-Preserving Inference Service for Model Privacy at the Edge. - Jiahui Hou; Huiqi Liu; Yunxin Liu 001; Yu Wang 003; Peng-Jun Wan; Xiang-Yang Li 001 (IEEE Trans. Dependable Secur. 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)

FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. - Jaemin Shin 005; Hyungjun Yoon; Seungjoo Lee; Sungjoon Park; Yunxin Liu 001; Jinho D. Choi; Sung-Ju Lee (EMNLP, 2023)

The First Decade of Computing and Network Convergence. - Ye Ouyang; Xiaozhou Ye; Jie Sun; Yunxin Liu 001; Yaqin Zhang (ICC, 2023)

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. - Cong Guo 003; Jiaming Tang; Weiming Hu; Jingwen Leng; Chen Zhang 001; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (ISCA, 2023)

Retrieval-based Battery Degradation Prediction for Battery Energy Storage System Operations. - Yixuan Li; Qirui Yang; Hao Wen 004; Huiwen Zheng; Weimin Liu; Hui Li; Yuanchun Li; Yunxin Liu 001 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. - Yizhen Yuan; Rui Kong; Shenghao Xie; Yuanchun Li; Yunxin Liu 001 (ACM Multimedia, 2023)

A Proposal-Improved Few-Shot Embedding Model with Contrastive Learning. - Fucai Gong; Yuchen Xie; Le Jiang; Keming Chen; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang (MMM (2), 2023)

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. - Xiaohu Tang; Yang Wang 053; Ting Cao; Li Lyna Zhang; Qi Chen 009; Deng Cai 001; Yunxin Liu 001; Mao Yang 004 (MobiCom, 2023)

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. - Hao Wen 004; Yuanchun Li; Zunshuai Zhang; Shiqi Jiang; Xiaozhou Ye; Ye Ouyang; Yaqin Zhang; Yunxin Liu 001 (MobiCom, 2023)

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. - Jianyu Wei; Ting Cao; Shijie Cao; Shiqi Jiang; Shaowei Fu; Mao Yang 004; Yanyong Zhang; Yunxin Liu 001 (MobiSys, 2023)

LUT-NN: Towards Unified Neural Network Inference by Table Lookup. - Xiaohu Tang; Yang Wang 053; Ting Cao; Li Lyna Zhang; Qi Chen 009; Deng Cai 001; Yunxin Liu 001; Mao Yang 004 (CoRR, 2023)

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. - Hao Wen 004; Yuanchun Li; Zunshuai Zhang; Shiqi Jiang; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang; Yunxin Liu 001 (CoRR, 2023)

6G Network Operation Support System. - Ye Ouyang; Yaqin Zhang; Xiaozhou Ye; Yunxin Liu 001; Xidong Wang; Jie Sun; Yang Liu 165; Shoufeng Wang; Sen Bian; Yun Li (CoRR, 2023)

6G Network Business Support System. - Ye Ouyang; Yaqin Zhang; Peng Wang; Yunxin Liu 001; Wen Qiao; Jun Zhu; Yang Liu 165; Feng Zhang; Shuling Wang; Xidong Wang (CoRR, 2023)

AIGC Empowering Telecom Sector White Paper_chinese. - Ye Ouyang; Yaqin Zhang; Xiaozhou Ye; Yunxin Liu 001; Yong Song; Yang Liu 165; Sen Bian; Zhiyong Liu (CoRR, 2023)

Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints. - Wenxing Xu; Yuanchun Li; Jiacheng Liu; Yi Sun; Zhengyang Cao; Yixuan Li; Hao Wen 004; Yunxin Liu 001 (CoRR, 2023)

Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping. - Rui Kong; Yuanchun Li; Qingtian Feng; Weijun Wang 001; Linghe Kong; Yunxin Liu 001 (CoRR, 2023)

Empowering LLM to use Smartphone for Intelligent Task Automation. - Hao Wen 004; Yuanchun Li; Guohong Liu 002; Shanhui Zhao; Tao Yu; Toby Jia-Jun Li; Shiqi Jiang; Yunhao Liu 001; Yaqin Zhang; Yunxin Liu 001 (CoRR, 2023)

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. - Fucheng Jia; Shiqi Jiang; Ting Cao; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; Mao Yang 004 (CoRR, 2023)

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. - Taesik Gong; Yewon Kim; Adiba Orzikulova; Yunxin Liu 001; Sung Ju Hwang; Jinwoo Shin; Sung-Ju Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

MVPose: Realtime Multi-Person Pose Estimation Using Motion Vector on Mobile Devices. - Jinrui Zhang; Deyu Zhang; Huan Yang; Yunxin Liu 001; Ju Ren 001; Xiaohui Xu; Fucheng Jia; Yaoxue Zhang (IEEE Trans. Mob. Comput., 2023)

${{ sf S text{-}UbiTap}}$S-UbiTap: Leveraging Acoustic Dispersion for Ubiquitous and Scalable Touch Interface on Solid Surfaces. - Anish Byanjankar; Yunxin Liu 001; Yuanchao Shu; Insik Shin; Myeongwon Choi; Hyosu Kim (IEEE Trans. Mob. Comput., 2023)

LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps. - Lizhi Sun; Shuocheng Wang; Hao Wu 067; Yuhang Gong; Fengyuan Xu; Yunxin Liu 001; Hao Han; Sheng Zhong 002 (IEEE Trans. Mob. Comput., 2023)

SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget. - Rui Kong; Yuanchun Li; Qingtian Feng; Weijun Wang 001; Xiaozhou Ye; Ye Ouyang; Linghe Kong; Yunxin Liu 001 (ACL (1), 2024)

Amanda: Unified Instrumentation Framework for Deep Neural Networks. - Yue Guan 003; Yuxian Qiu; Jingwen Leng; Fan Yang 024; Shuo Yu 006; Yunxin Liu 001; Yu Feng 007; Yuhao Zhu 001; Lidong Zhou; Yun Liang 001; Chen Zhang 001; Chao Li 009; et al. (ASPLOS (1), 2024)

WiP: An On-device LLM-based Approach to Query Privacy Protection. - Yizhen Yuan; Rui Kong; Yuanchun Li; Yunxin Liu 001 (EdgeFM@MobiSys, 2024)

BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge. - Lin Sun; Weijun Wang 001; Tingting Yuan 001; Liang Mi; Haipeng Dai 001; Yunxin Liu 001; Xiaoming Fu 001 (INFOCOM, 2024)

A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage. - Huan Yang; Deyu Zhang; Yudong Zhao; Yuanchun Li; Yunxin Liu 001 (MobiArch, 2024)

AutoDroid: LLM-powered Task Automation in Android. - Hao Wen 004; Yuanchun Li; Guohong Liu 002; Shanhui Zhao; Tao Yu; Toby Jia-Jun Li; Shiqi Jiang; Yunhao Liu 001; Yaqin Zhang; Yunxin Liu 001 (MobiCom, 2024)

FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices. - Xiangyu Li; Yuanchun Li; Yuanzhe Li; Ting Cao; Yunxin Liu 001 (MobiCom, 2024)

Poster: Enabling Agent-centric Interaction on Smartphones with LLM-based UI Reassembling. - Hao Wen 004; Wenjie Du 004; Yuanchun Li; Yunxin Liu 001 (MobiSys, 2024)

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. - Fucheng Jia; Shiqi Jiang; Ting Cao; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li; Qipeng Wang; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; et al. (MobiSys, 2024)

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security. - Yuanchun Li; Hao Wen 004; Weijun Wang 001; Xiangyu Li; Yizhen Yuan; Guohong Liu 002; Jiacheng Liu; Wenxing Xu; Xiang Wang; Yi Sun; Rui Kong; Yile Wang 001; et al. (CoRR, 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)

LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design. - Rui Kong; Qiyang Li; Xinyu Fang; Qingtian Feng; Qingfeng He; Yazhu Dong; Weijun Wang 001; Yuanchun Li; Linghe Kong; Yunxin Liu 001 (CoRR, 2024)

V-LoRA: An Efficient and Flexible System Boosts Vision Applications with LoRA LMM. - Liang Mi; Weijun Wang 001; Wenming Tu; Qingfeng He; Rui Kong; Xinyu Fang; Yazhu Dong; Yikang Zhang; Yunchun Li; Meng Li 010; Haipeng Dai 001; Guihai Chen; et al. (CoRR, 2024)

MobiFuse: A High-Precision On-device Depth Perception System with Multi-Data Fusion. - Jinrui Zhang; Deyu Zhang; Tingting Long; Wenxin Chen; Ju Ren 001; Yunxin Liu 001; Yudong Zhao; Yaoxue Zhang; Youngki Lee 001 (CoRR, 2024)

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation. - Hao Wen 004; Shizuo Tian; Borislav Pavlov; Wenjie Du 004; Yixuan Li; Ge Chang; Shanhui Zhao; Jiacheng Liu; Yunxin Liu 001; Ya-Qin Zhang; Yuanchun Li (CoRR, 2024)

TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. - Hao Wu 067; Yuhang Gong; Xiaopeng Ke; Hanzhong Liang; Fengyuan Xu; Yunxin Liu 001; Sheng Zhong 002 (IEEE Trans. Inf. Forensics Secur., 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)

HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception. - Jinrui Zhang; Huan Yang; Ju Ren 001; Deyu Zhang; Bangwen He; Youngki Lee 001; Ting Cao; Yuanchun Li; Yaoxue Zhang; Yunxin Liu 001 (IEEE Trans. Mob. Comput., 2024)

Seamless Cross-Edge Service Migration for Real-Time Rendering Applications. - Yuanzhe Li; Shangguang Wang; Yuanchun Li; Ao Zhou 001; Mengwei Xu; Xiao Ma 009; Yunxin Liu 001 (IEEE Trans. Mob. Comput., 2024)

Empower Vision Applications with LoRA LMM. - Liang Mi; Weijun Wang 001; Wenming Tu; Qingfeng He; Rui Kong; Xinyu Fang; Yazhu Dong; Yikang Zhang; Yuanchun Li; Meng Li 010; Haipeng Dai 001; Guihai Chen; et al. (EuroSys, 2025)

Region-based Content Enhancement for Efficient Video Analytics at the Edge. - Weijun Wang 001; Liang Mi; Shaowei Cen; Haipeng Dai 001; Yuanchun Li; Xiaoming Fu 001; Yunxin Liu 001 (NSDI, 2025)

A goal-oriented document-grounded dialogue based on evidence generation. - Yong Song; Hongjie Fan; Junfei Liu; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang (Data Knowl. Eng., 2025)

DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. - Chen Zhang 001; Yang Wang 053; Zhiqiang Xie; Cong Guo 003; Yunxin Liu 001; Jingwen Leng; Zhigang Ji; Yuan Xie 001; Ru Huang 001 (IEEE Trans. Computers, 2025)

AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation. - Naiyu Zheng; Yuanchun Li; Shiqi Jiang; Yuanzhe Li; Rongchun Yao; Chuchu Dong; Ting Chen; Yubo Yang; Zhimeng Yin 001; Yunxin Liu 001 (IEEE Trans. Mob. Comput., 2025)

Scaling Up On-Device LLMs via Active-Weight Swapping Between DRAM and Flash. - Fucheng Jia; Zewen Wu; Shiqi Jiang; Huiqiang Jiang; Qianxi Zhang; Yuqing Yang 001; Yunxin Liu 001; Ju Ren 001; Deyu Zhang; Ting Cao (CoRR, 2025)

AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices. - Lehao Wang; Zhiwen Yu 001; Haoyi Yu; Sicong Liu 005; Yaxiong Xie; Bin Guo 001; Yunxin Liu 001 (IEEE Trans. Mob. Comput., 2025)

LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps. - Shanhui Zhao; Hao Wen 004; Wenjie Du 004; Cheng Liang; Yunxin Liu 001; Xiaozhou Ye; Ye Ouyang; Yuanchun Li (CoRR, 2025)

Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents. - Weikai Xu; Zhizheng Jiang; Yuxuan Liu 009; Pengzhi Gao; Wei Liu 005; Jian Luan 001; Yuanchun Li; Yunxin Liu 001; Bin Wang 004; Bo An 001 (CoRR, 2025)

Hijacking JARVIS: Benchmarking Mobile GUI Agents against Unprivileged Third Parties. - Guohong Liu 002; Jialei Ye; Jiacheng Liu; Yuanchun Li; Wei Liu 005; Pengzhi Gao; Jian Luan 001; Yunxin Liu 001 (CoRR, 2025)

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. - Chen Zhang 001; Shijie Cao; Guohao Dai; Chenbo Geng; Zhuliang Yao; Wencong Xiao; Yunxin Liu 001; Ming Wu 007; Lintao Zhang; Guangyu Sun 003; Zhigang Ji; Runsheng Wang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Serving MoE Models on Resource-Constrained Edge Devices via Dynamic Expert Swapping. - Rui Kong; Yuanchun Li; Weijun Wang 001; Linghe Kong; Yunxin Liu 001 (IEEE Trans. Computers, 2025)