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Journal Articles
- 2024
[j47]Zhenghua Xu
, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu:
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Comput. Biol. Medicine 169: 107877 (2024)- [j46]Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Fengyuan Xu, Yunxin Liu, Sheng Zhong:
TIM: Enabling Large-Scale White-Box Testing on In-App Deep Learning Models. IEEE Trans. Inf. Forensics Secur. 19: 8188-8203 (2024) - [j45]Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu:
FLASH: Heterogeneity-Aware Federated Learning at Scale. IEEE Trans. Mob. Comput. 23(1): 483-500 (2024) - [j44]Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Youngki Lee, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu:
HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception. IEEE Trans. Mob. Comput. 23(5): 4648-4664 (2024) - [j43]Yuanzhe Li, Shangguang Wang, Yuanchun Li, Ao Zhou, Mengwei Xu, Xiao Ma, Yunxin Liu:
Seamless Cross-Edge Service Migration for Real-Time Rendering Applications. IEEE Trans. Mob. Comput. 23(6): 7084-7098 (2024) - 2023
- [j42]Hongxia Sun, Yunxin Liu:
Production decisions in remanufacturing under the cap-and-trade considering consumer education and government subsidies. Comput. Ind. Eng. 182: 109358 (2023) - [j41]Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz:
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Comput. Biol. Medicine 153: 106487 (2023) - [j40]Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz:
EFPN: Effective medical image detection using feature pyramid fusion enhancement. Comput. Biol. Medicine 163: 107149 (2023) - [j39]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 55:1-55:27 (2023) - [j38]Jinrui Zhang, Deyu Zhang, Huan Yang, Yunxin Liu, Ju Ren, Xiaohui Xu, Fucheng Jia, Yaoxue Zhang:
MVPose: Realtime Multi-Person Pose Estimation Using Motion Vector on Mobile Devices. IEEE Trans. Mob. Comput. 22(6): 3508-3524 (2023) - [j37]Anish Byanjankar, Yunxin Liu, Yuanchao Shu, Insik Shin, Myeongwon Choi, Hyosu Kim:
${{\sf S \text{-}UbiTap}}$S-UbiTap: Leveraging Acoustic Dispersion for Ubiquitous and Scalable Touch Interface on Solid Surfaces. IEEE Trans. Mob. Comput. 22(11): 6800-6816 (2023) - [j36]Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong:
LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps. IEEE Trans. Mob. Comput. 22(12): 7138-7155 (2023) - 2022
- [j35]Linghe Kong, Yutong Liu, Yunxin Liu, Le Zheng, Meikang Qiu, Guihai Chen:
WheelLoc: Practical and Accurate Localization for Wheeled Mobile Targets via Integrated Sensing and Communication. IEEE J. Sel. Areas Commun. 40(7): 2219-2232 (2022) - [j34]Chuntao Ding, Ao Zhou, Yunxin Liu, Rong N. Chang, Ching-Hsien Hsu, Shangguang Wang:
A Cloud-Edge Collaboration Framework for Cognitive Service. IEEE Trans. Cloud Comput. 10(3): 1489-1499 (2022) - [j33]Jiahui Hou, Huiqi Liu, Yunxin Liu, Yu Wang, Peng-Jun Wan, Xiang-Yang Li:
Model Protection: Real-Time Privacy-Preserving Inference Service for Model Privacy at the Edge. IEEE Trans. Dependable Secur. Comput. 19(6): 4270-4284 (2022) - [j32]Deyu Tian, Yun Ma, Aruna Balasubramanian, Yunxin Liu, Gang Huang, Xuanzhe Liu:
Characterizing Embedded Web Browsing in Mobile Apps. IEEE Trans. Mob. Comput. 21(11): 3912-3925 (2022) - 2021
- [j31]Yunxin Liu, Aiwen Jiang, Jiancheng Pan, Jianming Liu, Jihua Ye:
Deliberation on object-aware video style transfer network with long-short temporal and depth-consistent constraints. Neural Comput. Appl. 33(14): 8845-8856 (2021) - [j30]Mengwei Xu, Yunxin Liu, Xuanzhe Liu:
A Case for Camera-as-a-Service. IEEE Pervasive Comput. 20(2): 9-17 (2021) - [j29]Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu:
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. GetMobile Mob. Comput. Commun. 25(4): 19-23 (2021) - [j28]SeungSeob Lee, Hang Shi, Kun Tan, Yunxin Liu, SuKyoung Lee, Yong Cui:
S2Net: Preserving Privacy in Smart Home Routers. IEEE Trans. Dependable Secur. Comput. 18(3): 1409-1424 (2021) - [j27]Yuanxing Zhang, Yushuo Guan, Kaigui Bian, Yunxin Liu, Hu Tuo, Lingyang Song, Xiaoming Li:
EPASS360: QoE-Aware 360-Degree Video Streaming Over Mobile Devices. IEEE Trans. Mob. Comput. 20(7): 2338-2353 (2021) - [j26]Xuanzhe Liu, Shangguang Wang, Yun Ma, Ying Zhang, Qiaozhu Mei, Yunxin Liu, Gang Huang:
Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. ACM Trans. Internet Techn. 21(2): 27:1-27:19 (2021) - [j25]Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu:
Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. 32(10): 2541-2556 (2021) - 2020
- [j24]Hyosu Kim, Byunggill Joe, Yunxin Liu:
TapSnoop: Leveraging Tap Sounds to Infer Tapstrokes on Touchscreen Devices. IEEE Access 8: 14737-14748 (2020) - [j23]Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, Xiangqun Chen:
PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 139:1-139:25 (2020) - [j22]Gwangseon Jang, Jin-Woo Lee, Jae-Gil Lee, Yunxin Liu:
Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices. Pervasive Mob. Comput. 64: 101134 (2020) - [j21]Yunxin Liu, Shifei Ding, Weikuan Jia:
A novel prediction method of complex univariate time series based on k-means clustering. Soft Comput. 24(21): 16425-16437 (2020) - 2019
- [j20]Zhijun Tang, Xiaofeng Wu, Jie Zhan, Shigang Hu, Zaifang Xi, Yunxin Liu:
Compact UWB-MIMO Antenna With High Isolation and Triple Band-Notched Characteristics. IEEE Access 7: 19856-19865 (2019) - 2018
- [j19]Bin Guo, Yingying (Jennifer) Chen, Nicholas D. Lane, Yunxin Liu, Zhiwen Yu:
Behavior Recognition Based on Wi-Fi CSI: Part 2. IEEE Commun. Mag. 56(5): 108 (2018) - [j18]Saumay Pushp, Yunxin Liu, Mengwei Xu, Changyoung Koh, Junehwa Song:
PrivacyShield: A Mobile System for Supporting Subtle Just-in-time Privacy Provisioning through Off-Screen-based Touch Gestures. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(2): 76:1-76:38 (2018) - [j17]Yirang Yuan, Tongjun Sun, Changfeng Li, Yunxin Liu, Qing Yang:
Mixed volume element combined with characteristic mixed finite volume element method for oil-water two phase displacement problem. J. Comput. Appl. Math. 340: 404-419 (2018) - [j16]Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen:
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis. IEEE Trans. Mob. Comput. 17(2): 279-292 (2018) - [j15]Yun Ma, Xuanzhe Liu, Yi Liu, Yunxin Liu, Gang Huang:
A Tale of Two Fashions: An Empirical Study on the Performance of Native Apps and Web Apps on Android. IEEE Trans. Mob. Comput. 17(5): 990-1003 (2018) - [j14]Xuanzhe Liu, Meihua Yu, Yun Ma, Gang Huang, Hong Mei, Yunxin Liu:
i-Jacob: An Internetware-Oriented Approach to Optimizing Computation-Intensive Mobile Web Browsing. ACM Trans. Internet Techn. 18(2): 14:1-14:23 (2018) - [j13]Longbo Huang, Minghua Chen, Yunxin Liu:
Learning-Aided Stochastic Network Optimization With State Prediction. IEEE/ACM Trans. Netw. 26(4): 1810-1820 (2018) - 2017
- [j12]Bin Guo, Yingying (Jennifer) Chen, Nicholas D. Lane, Yunxin Liu, Zhiwen Yu:
Behavior Recognition Based on Wi-Fi CSI: Part 1. IEEE Commun. Mag. 55(10): 90 (2017) - [j11]Xuanzhe Liu, Yun Ma, Shuailiang Dong, Yunxin Liu, Tao Xie, Gang Huang:
ReWAP: Reducing Redundant Transfers for Mobile Web Browsing via App-Specific Resource Packaging. IEEE Trans. Mob. Comput. 16(9): 2625-2638 (2017) - [j10]Gang Huang, Mengwei Xu, Felix Xiaozhu Lin, Yunxin Liu, Yun Ma, Saumay Pushp, Xuanzhe Liu:
ShuffleDog: Characterizing and Adapting User-Perceived Latency of Android Apps. IEEE Trans. Mob. Comput. 16(10): 2913-2926 (2017) - [j9]Xuanzhe Liu, Yun Ma, Xinyang Wang, Yunxin Liu, Tao Xie, Gang Huang:
SWAROVsky: Optimizing Resource Loading for Mobile Web Browsing. IEEE Trans. Mob. Comput. 16(10): 2941-2954 (2017) - 2016
- [j8]Yirang Yuan, Yunxin Liu, Changfeng Li, Tongjun Sun, Liqin Ma:
Analysis on block-centered finite differences of numerical simulation of semiconductor device detector. Appl. Math. Comput. 279: 1-15 (2016) - [j7]Duc Hoang Bui, Yunxin Liu, Hyosu Kim, Insik Shin, Feng Zhao:
RETHINKING ENERGYPERFORMANCE TRADE-OFF in Mobile Web Page Loading. GetMobile Mob. Comput. Commun. 20(2): 39-42 (2016) - [j6]Xuanzhe Liu, Yun Ma, Yunxin Liu, Tao Xie, Gang Huang:
Demystifying the Imperfect Client-Side Cache Performance of Mobile Web Browsing. IEEE Trans. Mob. Comput. 15(9): 2206-2220 (2016) - 2015
- [j5]Xuanzhe Liu, Yun Ma, Gang Huang, Junfeng Zhao, Hong Mei, Yunxin Liu:
Data-Driven Composition for Service-Oriented Situational Web Applications. IEEE Trans. Serv. Comput. 8(1): 2-16 (2015) - 2014
- [j4]Hao Han, Yunxin Liu, Guobin Shen, Yongguang Zhang, Qun Li, Chiu C. Tan:
Design, Realization, and Evaluation of DozyAP for Power-Efficient Wi-Fi Tethering. IEEE/ACM Trans. Netw. 22(5): 1672-1685 (2014) - 2013
- [j3]Dan Li, Jiong Chen, Chuanxiong Guo, Yunxin Liu, Jinyu Zhang, Zhi-Li Zhang, Yongguang Zhang:
IP-Geolocation Mapping for Moderately Connected Internet Regions. IEEE Trans. Parallel Distributed Syst. 24(2): 381-391 (2013) - 2010
- [j2]Yunxin Liu, Ahmad Rahmati, Hyukjae Jang, Yuanhe Huang, Lin Zhong, Yongguang Zhang, Shensheng Zhang:
Design, Realization, and Evaluation of xShare for Impromptu Sharing of Mobile Phones. IEEE Trans. Mob. Comput. 9(12): 1682-1696 (2010) - 2007
- [j1]Haitao Wu, Yunxin Liu, Qian Zhang, Zhi-Li Zhang:
SoftMAC: Layer 2.5 Collaborative MAC for Multimedia Support in Multihop Wireless Networks. IEEE Trans. Mob. Comput. 6(1): 12-25 (2007)
Conference and Workshop Papers
- 2024
- [c119]Rui Kong, Yuanchun Li, Qingtian Feng, Weijun Wang, Xiaozhou Ye, Ye Ouyang, Linghe Kong, Yunxin Liu:
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget. ACL (1) 2024: 6710-6720 - [c118]Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo:
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) 2024: 1-18 - [c117]Yizhen Yuan, Rui Kong, Yuanchun Li, Yunxin Liu:
WiP: An On-device LLM-based Approach to Query Privacy Protection. EdgeFM@MobiSys 2024: 7-9 - [c116]Hanfei Geng, Yi Sun, Yuanzhe Li, Jichao Leng, Xiangyu Zhu, Xianyuan Zhan, Yuanchun Li, Feng Zhao, Yunxin Liu:
TESLA: Thermally Safe, Load-Aware, and Energy-Efficient Cooling Control System for Data Centers. ICPP 2024: 939-949 - [c115]Lin Sun, Weijun Wang, Tingting Yuan, Liang Mi, Haipeng Dai, Yunxin Liu, Xiaoming Fu:
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge. INFOCOM 2024: 1181-1190 - [c114]Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu:
AutoDroid: LLM-powered Task Automation in Android. MobiCom 2024: 543-557 - [c113]Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu:
FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices. MobiCom 2024: 709-723 - [c112]Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang:
Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. MobiSys 2024: 438-450 - [c111]Hao Wen, Wenjie Du, Yuanchun Li, Yunxin Liu:
Poster: Enabling Agent-centric Interaction on Smartphones with LLM-based UI Reassembling. MobiSys 2024: 706-707 - 2023
- [c110]Yunxin Liu, Yuliang Chen, Hongtao Zhang, Qingguo Zhou, Xiaokang Zhou:
Research on Malicious Traffic Detection based on Word Embedding Algorithms and Neural Networks. DASC/PiCom/CBDCom/CyberSciTech 2023: 978-984 - [c109]Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee:
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. EMNLP 2023: 11971-11988 - [c108]Ye Ouyang, Xiaozhou Ye, Jie Sun, Yunxin Liu, Yaqin Zhang:
The First Decade of Computing and Network Convergence. ICC 2023: 1928-1933 - [c107]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA 2023: 3:1-3:15 - [c106]Yixuan Li, Qirui Yang, Hao Wen, Huiwen Zheng, Weimin Liu, Hui Li, Yuanchun Li, Yunxin Liu:
Retrieval-based Battery Degradation Prediction for Battery Energy Storage System Operations. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 724-731 - [c105]Yizhen Yuan, Rui Kong, Shenghao Xie, Yuanchun Li, Yunxin Liu:
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. ACM Multimedia 2023: 9134-9142 - [c104]Fucai Gong, Yuchen Xie, Le Jiang, Keming Chen, Yunxin Liu, Xiaozhou Ye, Ye Ouyang:
A Proposal-Improved Few-Shot Embedding Model with Contrastive Learning. MMM (2) 2023: 202-214 - [c103]Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Yaqin Zhang, Yunxin Liu:
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. MobiCom 2023: 28:1-28:17 - [c102]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom 2023: 70:1-70:15 - [c101]Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu:
NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. MobiSys 2023: 70-83 - [c100]Zhonghao Pan, Yang Feng, Zhiyuan Li, Yunxin Liu, Yuanchun Li:
Understanding the Impact of Quantum Noise on Quantum Programs. SANER 2023: 426-437 - [c99]Naiyu Zheng, Ting Chen, Chuchu Dong, Yubo Yang, Yuanzhe Li, Yunxin Liu, Yuanchun Li:
Environment-aware Testing for DNN-based Smart-home WiFi Sensing Systems. SANER 2023: 763-767 - 2022
- [c98]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD 2022: 738-745 - [c97]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR 2022 - [c96]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Representational Continuity for Unsupervised Continual Learning. ICLR 2022 - [c95]Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. ICSE 2022: 1856-1868 - [c94]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO 2022: 1414-1433 - [c93]Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu:
Romou: rapidly generate high-performance tensor kernels for mobile GPUs. MobiCom 2022: 487-500 - [c92]Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Ting Cao, Yuanchun Li, Yaoxue Zhang, Yunxin Liu:
MobiDepth: real-time depth estimation using on-device dual cameras. MobiCom 2022: 528-541 - [c91]Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang:
CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. MobiSys 2022: 209-221 - [c90]Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee:
FedBalancer: data and pace control for efficient federated learning on heterogeneous clients. MobiSys 2022: 436-449 - [c89]Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu:
Melon: breaking the memory wall for resource-efficient on-device machine learning. MobiSys 2022: 450-463 - [c88]Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang:
TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. SenSys 2022: 592-606 - [c87]Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang:
Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL. SenSys 2022: 607-621 - [c86]Yang Liu, Le Jiang, Guoming Li, Yunxin Liu, Xiaozhou Ye, Ye Ouyang, Aidong Yang:
Brisk-Yolo: A Lightweight Object Detection Algorithm for Edge Devices. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1415-1420 - 2021
- [c85]Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. AAAI 2021: 3270-3277 - [c84]Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu:
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection. ICSE 2021: 263-274 - [c83]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. ISCA 2021: 1083-1095 - [c82]Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu:
ModelDiff: testing-based DNN similarity comparison for model reuse detection. ISSTA 2021: 139-151 - [c81]Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu:
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. MLSys 2021 - [c80]Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. ACM Multimedia 2021: 2362-2371 - [c79]Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang:
Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. MobiCom 2021: 201-214 - [c78]Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu:
AsyMo: scalable and efficient deep-learning inference on asymmetric mobile CPUs. MobiCom 2021: 215-228 - [c77]Hao Wu, Xuejin Tian, Minghao Li, Yunxin Liu, Ganesh Ananthanarayanan, Fengyuan Xu, Sheng Zhong:
PECAM: privacy-enhanced video streaming and analytics via securely-reversible transformation. MobiCom 2021: 229-241 - [c76]Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu:
Flexible high-resolution object detection on edge devices with tunable latency. MobiCom 2021: 559-572 - [c75]Jingyu Lee, Yunxin Liu, Youngki Lee:
ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference. EMDL@MobiSys 2021: 25-30 - [c74]Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu:
Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. EMDL@MobiSys 2021: 31-36 - [c73]Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu:
nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. MobiSys 2021: 81-93 - [c72]Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu:
TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. ESEC/SIGSOFT FSE 2021: 806-817 - [c71]Mengwei Xu, Tiantu Xu, Yunxin Liu, Felix Xiaozhu Lin:
Video Analytics with Zero-streaming Cameras. USENIX ATC 2021: 459-472 - [c70]Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu:
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. WWW 2021: 935-946 - 2020
- [c69]Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu:
Profiling and optimizing deep learning inference on mobile GPUs. APSys 2020: 75-81 - [c68]Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu:
PaGraph: Scaling GNN training on large graphs via computation-aware caching. SoCC 2020: 401-415 - [c67]Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu:
Fast Hardware-Aware Neural Architecture Search. CVPR Workshops 2020: 2959-2967 - [c66]Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, Yunxin Liu:
SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration. INFOCOM 2020: 1369-1378 - [c65]Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin:
A query engine for zero-streaming cameras. MobiCom 2020: 67:1-67:3 - [c64]Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin:
Approximate query service on autonomous IoT cameras. MobiSys 2020: 191-205 - [c63]Hao Wu, Jinghao Feng, Xuejin Tian, Edward Sun, Yunxin Liu, Bo Dong, Fengyuan Xu, Sheng Zhong:
EMO: real-time emotion recognition from single-eye images for resource-constrained eyewear devices. MobiSys 2020: 448-461 - [c62]Jinrui Zhang, Deyu Zhang, Xiaohui Xu, Fucheng Jia, Yunxin Liu, Xuanzhe Liu, Ju Ren, Yaoxue Zhang:
MobiPose: real-time multi-person pose estimation on mobile devices. SenSys 2020: 136-149 - [c61]Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
Dynamic slicing for deep neural networks. ESEC/SIGSOFT FSE 2020: 838-850 - 2019
- [c60]Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR 2019: 11216-11225 - [c59]Yan Lu, Yuanchao Shu, Xu Tan, Yunxin Liu, Mengyu Zhou, Qi Chen, Dan Pei:
Collaborative learning between cloud and end devices: an empirical study on location prediction. SEC 2019: 139-151 - [c58]Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang:
Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA 2019: 63-72 - [c57]Yuanxing Zhang, Pengyu Zhao, Kaigui Bian, Yunxin Liu, Lingyang Song, Xiaoming Li:
DRL360: 360-degree Video Streaming with Deep Reinforcement Learning. INFOCOM 2019: 1252-1260 - [c56]Lu Zhang, Chao Li, Pengyu Wang, Yunxin Liu, Yang Hu, Quan Chen, Minyi Guo:
Characterizing and orchestrating NFV-ready servers for efficient edge data processing. IWQoS 2019: 22:1-22:10 - [c55]Yunxin Liu:
Session details: Session 2: ML for Videos. HotEdgeVideo@MobiCom 2019 - [c54]Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu:
Live Video Analytics with FPGA-based Smart Cameras. HotEdgeVideo@MobiCom 2019: 9-14 - [c53]Hao Wu, Jinghao Feng, Xuejin Tian, Fengyuan Xu, Yunxin Liu, XiaoFeng Wang, Sheng Zhong:
secGAN: A Cycle-Consistent GAN for Securely-Recoverable Video Transformation. HotEdgeVideo@MobiCom 2019: 33-38 - [c52]Taegyeong Lee, Zhiqi Lin, Saumay Pushp, Caihua Li, Yunxin Liu, Youngki Lee, Fengyuan Xu, Chenren Xu, Lintao Zhang, Junehwa Song:
Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX. MobiCom 2019: 46:1-46:17 - [c51]Ganesh Ananthanarayanan, Yunxin Liu, Yuanchao Shu:
HotEdgeVideo'19: Workshop on Hot Topics in Video Analytics and Intelligent Edges. MobiCom 2019: 107:1 - [c50]Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu:
A First Look at Deep Learning Apps on Smartphones. WWW 2019: 2125-2136 - 2018
- [c49]Saumay Pushp, Yunxin Liu, Mengwei Xu, Junehwa Song:
Using Touch-screen Gestures for Just-in-time Privacy Provisioning. UbiComp/ISWC Adjunct 2018: 219-222 - [c48]Mengwei Xu, Mengze Zhu, Yunxin Liu, Felix Xiaozhu Lin, Xuanzhe Liu:
DeepCache: Principled Cache for Mobile Deep Vision. MobiCom 2018: 129-144 - [c47]Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Marco Gruteser:
Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering. MobiSys 2018: 68-80 - [c46]Hyosu Kim, Anish Byanjankar, Yunxin Liu, Yuanchao Shu, Insik Shin:
UbiTap: Leveraging Acoustic Dispersion for Ubiquitous Touch Interface on Solid Surfaces. SenSys 2018: 211-223 - [c45]Yun Ma, Ziniu Hu, Yunxin Liu, Tao Xie, Xuanzhe Liu:
Aladdin: Automating Release of Deep-Link APIs on Android. WWW 2018: 1469-1478 - 2017
- [c44]Hongjiang Lyu, Linghe Kong, Chengzhang Li, Yunxin Liu, Jiansong Zhang, Guihai Chen:
BikeLoc: a Real-time High-Precision Bicycle Localization System Using Synthetic Aperture Radar. APNet 2017: 57-63 - [c43]Ruiguang Zhong, Manni Wang, Zijian Chen, Luyang Liu, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Thomas Moscibroda:
On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware. APSys 2017: 7:1-7:7 - [c42]Weixi Gu, Yunxin Liu, Yuxun Zhou, Zimu Zhou, Costas J. Spanos, Lin Zhang:
BikeSafe: bicycle behavior monitoring via smartphones. UbiComp/ISWC Adjunct 2017: 45-48 - [c41]Yun Ma, Xuanzhe Liu, Ziniu Hu, Dian Yang, Gang Huang, Yunxin Liu, Tao Xie:
Aladdin: automating release of Android deep links to in-app content. ICSE (Companion Volume) 2017: 139-140 - [c40]Changhua Pei, Youjian Zhao, Yunxin Liu, Kun Tan, Jiansong Zhang, Yuan Meng, Dan Pei:
Latency-based WiFi congestion control in the air for dense WiFi networks. IWQoS 2017: 1-10 - [c39]Yifan Zhang, Yunxin Liu, Xuanzhe Liu, Qun Li:
Enabling accurate and efficient modeling-based CPU power estimation for smartphones. IWQoS 2017: 1-10 - [c38]Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen:
Systematically testing background services of mobile apps. ASE 2017: 4-15 - [c37]Chanyou Hwang, Saumay Pushp, Changyoung Koh, Jungpil Yoon, Yunxin Liu, Seungpyo Choi, Junehwa Song:
RAVEN: Perception-aware Optimization of Power Consumption for Mobile Games. MobiCom 2017: 422-434 - [c36]Saumay Pushp, Chanyou Hwang, Changyoung Koh, Jungpil Yoon, Yunxin Liu, Seungpyo Choi, Junehwa Song:
Demo: FROG: Optimizing Power Consumption of Mobile Games Using Perception-Aware Frame Rate Scaling. MobiCom 2017: 498-500 - [c35]Longbo Huang, Minghua Chen, Yunxin Liu:
Learning-aided Stochastic Network Optimization with Imperfect State Prediction. MobiHoc 2017: 12:1-12:10 - [c34]Weixi Gu, Zimu Zhou, Yuxun Zhou, Han Zou, Yunxin Liu, Costas J. Spanos, Lin Zhang:
BikeMate: Bike Riding Behavior Monitoring with Smartphones. MobiQuitous 2017: 313-322 - [c33]Mengwei Xu, Yun Ma, Xuanzhe Liu, Felix Xiaozhu Lin, Yunxin Liu:
AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets. WWW 2017: 143-152 - 2016
- [c32]SeungSeob Lee, Hang Shi, Kun Tan, Yunxin Liu, SuKyoung Lee, Yong Cui:
Smart and Secure: Preserving Privacy in Untrusted Home Routers. APSys 2016: 11:1-11:8 - [c31]Zhe Yang, Yuting Bao, Chuhao Luo, Xingya Zhao, Siyu Zhu, Chunyi Peng, Yunxin Liu, Xinbing Wang:
ARTcode: preserve art and code in any image. UbiComp 2016: 904-915 - [c30]Hao Han, Shanhe Yi, Qun Li, Guobin Shen, Yunxin Liu, Edmund Novak:
AMIL: Localizing neighboring mobile devices through a simple gesture. INFOCOM 2016: 1-9 - [c29]Hao Han, Shanhe Yi, Qun Li, Guobin Shen, Yunxin Liu, Edmund Novak:
AMIL: Localizing neighboring mobile devices through a simple gesture. INFOCOM Workshops 2016: 1027-1028 - [c28]Hyosu Kim, Daehyeok Kim, Byunggill Joe, Yunxin Liu, Insik Shin:
Poster: TapSnoop - Inferring Tapstrokes from Listening to Tap Sound on Mobile Devices. MobiSys (Companion Volume) 2016: 137 - 2015
- [c27]Yi Liu, Xuanzhe Liu, Yun Ma, Yunxin Liu, Zibin Zheng, Gang Huang, M. Brian Blake:
Characterizing RESTful Web Services Usage on Smartphones: A Tale of Native Apps and Web Apps. ICWS 2015: 337-344 - [c26]Yun Ma, Xuanzhe Liu, Meihua Yu, Yunxin Liu, Qiaozhu Mei, Feng Feng:
Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search. ICWS 2015: 725-730 - [c25]Duc Hoang Bui, Yunxin Liu, Hyosu Kim, Insik Shin, Feng Zhao:
Rethinking Energy-Performance Trade-Off in Mobile Web Page Loading. MobiCom 2015: 14-26 - [c24]Songtao He, Yunxin Liu, Hucheng Zhou:
Optimizing Smartphone Power Consumption through Dynamic Resolution Scaling. MobiCom 2015: 27-39 - [c23]Songtao He, Yunxin Liu, Hucheng Zhou:
Demo: Optimizing Smartphone Power Consumption through Dynamic Resolution Scaling. MobiCom 2015: 185-187 - [c22]Yichuan Wang, Xin Liu, David Chu, Yunxin Liu:
EarlyBird: Mobile Prefetching of Social Network Feeds via Content Preference Mining and Usage Pattern Analysis. MobiHoc 2015: 67-76 - [c21]Tianxing Jin, Songtao He, Yunxin Liu:
Towards Accurate GPU Power Modeling for Smartphones. MobiGames@MobiSys 2015: 7-11 - [c20]Yu Yan, Songtao He, Yunxin Liu, Longbo Huang:
Optimizing power consumption of mobile games. HotPower@SOSP 2015: 21-25 - [c19]Yun Ma, Xuanzhe Liu, Shuhui Zhang, Ruirui Xiang, Yunxin Liu, Tao Xie:
Measurement and Analysis of Mobile Web Cache Performance. WWW 2015: 691-701 - 2014
- [c18]Xiang Chen, Kent W. Nixon, Hucheng Zhou, Yunxin Liu, Yiran Chen:
FingerShadow: An OLED Power Optimization Based on Smartphone Touch Interactions. HotPower 2014 - [c17]Kent W. Nixon, Xiang Chen, Hucheng Zhou, Yunxin Liu, Yiran Chen:
Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling. HotPower 2014 - [c16]Tuo Yu, Zilong Zhou, Da Zhang, Xinbing Wang, Yunxin Liu, Songwu Lu:
INDAPSON: An incentive data plan sharing system based on self-organizing network. INFOCOM 2014: 1545-1553 - [c15]Zehui Li, Chunyi Peng, Yunxin Liu:
Hidden costs of mobile data access in cellular networks (Invited paper). LANMAN 2014: 1-6 - 2013
- [c14]Alexander Moshchuk, Helen J. Wang, Yunxin Liu:
Content-based isolation: rethinking isolation policy design on client systems. CCS 2013: 1167-1180 - [c13]Xudong Wang, Xuanzhe Liu, Gang Huang, Yunxin Liu:
AppMobiCloud: improving mobile web applications by mobile-cloud convergence. Internetware 2013: 14:1-14:10 - [c12]Fengyuan Xu, Yunxin Liu, Thomas Moscibroda, Ranveer Chandra, Long Jin, Yongguang Zhang, Qun Li:
Optimizing background email sync on smartphones. MobiSys 2013: 55-68 - [c11]Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong:
MoodScope: building a mood sensor from smartphone usage patterns. MobiSys 2013: 389-402 - [c10]Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong:
MoodScope: building a mood sensor from smartphone usage patterns. MobiSys 2013: 465-466 - [c9]Fengyuan Xu, Yunxin Liu, Qun Li, Yongguang Zhang:
V-edge: Fast Self-constructive Power Modeling of Smartphones Based on Battery Voltage Dynamics. NSDI 2013: 43-55 - [c8]Yifan Zhang, Xudong Wang, Xuanzhe Liu, Yunxin Liu, Li Zhuang, Feng Zhao:
Towards better CPU power management on multicore smartphones. HotPower@SOSP 2013: 11:1-11:5 - 2012
- [c7]Hao Han, Yunxin Liu, Guobin Shen, Yongguang Zhang, Qun Li:
DozyAP: power-efficient Wi-Fi tethering. MobiSys 2012: 421-434 - 2009
- [c6]Chuanxiong Guo, Yunxin Liu, Wenchao Shen, Helen J. Wang, Qing Yu, Yongguang Zhang:
Mining the Web and the Internet for Accurate IP Address Geolocations. INFOCOM 2009: 2841-2845 - [c5]Yunxin Liu, Ahmad Rahmati, Yuanhe Huang, Hyukjae Jang, Lin Zhong, Yongguang Zhang, Shensheng Zhang:
xShare: supporting impromptu sharing of mobile phones. MobiSys 2009: 15-28 - 2008
- [c4]See-hwan Yoo, Yunxin Liu, Cheol-Ho Hong, Chuck Yoo, Yongguang Zhang:
MobiVMM: a virtual machine monitor for mobile phones. MobiVirt 2008: 1-5 - 2005
- [c3]Yunxin Liu, Yongqiang Xiong, Yang Yang, Pengzhi Xu, Qian Zhang:
An experimental study on multi-channel multi-radio multi-hop wireless networks. GLOBECOM 2005: 5 - [c2]Haitao Wu, Yunxin Liu, Jie Chen, Qian Zhang:
Layer 2.5 SoftMAC: end-system based media streaming support on home networks. GLOBECOM 2005: 5 - [c1]Haitao Wu, Xin Wang, Yunxin Liu, Qian Zhang, Zhi-Li Zhang:
SoftMAC: layer 2.5 MAC for VoIP support in multi-hop wireless networks. SECON 2005: 441-451
Editorship
- 2023
- [e3]Petteri Nurmi, Pan Hui, Ardalan Amiri Sani, Yunxin Liu:
Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2023, Helsinki, Finland, June 18-22, 2023. ACM 2023 [contents] - 2019
- [e2]Ganesh Ananthanarayanan, Yunxin Liu, Yuanchao Shu:
Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, HotEdgeVideo@MobiCom 2019, Los Cabos, Mexico, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6928-2 [contents] - [e1]Junehwa Song, Minkyong Kim, Nicholas D. Lane, Rajesh Krishna Balan, Fahim Kawsar, Yunxin Liu:
Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, Seoul, Republic of Korea, June 17-21, 2019. ACM 2019, ISBN 978-1-4503-6661-8 [contents]
Informal and Other Publications
- 2024
- [i44]Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu:
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security. CoRR abs/2401.05459 (2024) - [i43]Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu:
A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR abs/2401.08092 (2024) - [i42]Rui Kong, Qiyang Li, Xinyu Fang, Qingtian Feng, Qingfeng He, Yazhu Dong, Weijun Wang, Yuanchun Li, Linghe Kong, Yunxin Liu:
LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design. CoRR abs/2405.17741 (2024) - [i41]Mo Li, Songyang Zhang, Yunxin Liu, Kai Chen:
NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window? CoRR abs/2407.11963 (2024) - [i40]Weijun Wang, Liang Mi, Shaowei Cen, Haipeng Dai, Yuanchun Li, Xiaoming Fu, Yunxin Liu:
Region-based Content Enhancement for Efficient Video Analytics at the Edge. CoRR abs/2407.16990 (2024) - [i39]Huan Yang, Deyu Zhang, Yudong Zhao, Yuanchun Li, Yunxin Liu:
A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage. CoRR abs/2409.04040 (2024) - [i38]Jiahuan Yan, Zhouyang Hong, Yu Zhao, Yu Tian, Yunxin Liu, Travis Davies, Luhui Hu:
Generalized Robot Learning Framework. CoRR abs/2409.12061 (2024) - 2023
- [i37]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR abs/2302.03213 (2023) - [i36]Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu:
AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments. CoRR abs/2303.07129 (2023) - [i35]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR abs/2304.07493 (2023) - [i34]Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Xidong Wang, Jie Sun, Yang Liu, Shoufeng Wang, Sen Bian, Yun Li:
6G Network Operation Support System. CoRR abs/2307.09045 (2023) - [i33]Ye Ouyang, Yaqin Zhang, Peng Wang, Yunxin Liu, Wen Qiao, Jun Zhu, Yang Liu, Feng Zhang, Shuling Wang, Xidong Wang:
6G Network Business Support System. CoRR abs/2307.10004 (2023) - [i32]Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu, Sen Bian, Zhiyong Liu:
AIGC Empowering Telecom Sector White Paper_chinese. CoRR abs/2307.11449 (2023) - [i31]Yizhen Yuan, Rui Kong, Shenghao Xie, Yuanchun Li, Yunxin Liu:
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification. CoRR abs/2308.11822 (2023) - [i30]Wenxing Xu, Yuanchun Li, Jiacheng Liu, Yi Sun, Zhengyang Cao, Yixuan Li, Hao Wen, Yunxin Liu:
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints. CoRR abs/2308.15003 (2023) - [i29]Rui Kong, Yuanchun Li, Qingtian Feng, Weijun Wang, Linghe Kong, Yunxin Liu:
Serving MoE Models on Resource-constrained Edge Devices via Dynamic Expert Swapping. CoRR abs/2308.15030 (2023) - [i28]Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu:
Empowering LLM to use Smartphone for Intelligent Task Automation. CoRR abs/2308.15272 (2023) - [i27]Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang:
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. CoRR abs/2309.08978 (2023) - [i26]Lehao Wang, Zhiwen Yu, Haoyi Yu, Sicong Liu, Yaxiong Xie, Bin Guo, Yunxin Liu:
AdaEvo: Edge-Assisted Continuous and Timely DNN Model Evolution for Mobile Devices. CoRR abs/2309.15500 (2023) - [i25]Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee:
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. CoRR abs/2310.16538 (2023) - [i24]Lin Sun, Weijun Wang, Tingting Yuan, Liang Mi, Haipeng Dai, Yunxin Liu, Xiaoming Fu:
BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge. CoRR abs/2312.15740 (2023) - 2022
- [i23]Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee:
Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients. CoRR abs/2201.01601 (2022) - [i22]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR abs/2202.07471 (2022) - [i21]Hao Wu, Yuhang Gong, Xiaopeng Ke, Hanzhong Liang, Minghao Li, Fengyuan Xu, Yunxin Liu, Sheng Zhong:
Automation Slicing and Testing for in-App Deep Learning Models. CoRR abs/2205.07228 (2022) - [i20]Yunxin Liu, Qiaosi Yi, Jinshan Zeng:
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting. CoRR abs/2206.05475 (2022) - [i19]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR abs/2208.14286 (2022) - [i18]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR abs/2209.10778 (2022) - [i17]Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding. CoRR abs/2211.06198 (2022) - 2021
- [i16]Yuanchun Li, Jiayi Hua, Haoyu Wang, Chunyang Chen, Yunxin Liu:
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection. CoRR abs/2101.06896 (2021) - [i15]Lizhi Sun, Shuocheng Wang, Hao Wu, Yuhang Gong, Fengyuan Xu, Yunxin Liu, Hao Han, Sheng Zhong:
App Developer Centric Trusted Execution Environment. CoRR abs/2102.02465 (2021) - [i14]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. CoRR abs/2105.09564 (2021) - [i13]Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu:
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection. CoRR abs/2106.08890 (2021) - [i12]Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang:
Rethinking the Representational Continuity: Towards Unsupervised Continual Learning. CoRR abs/2110.06976 (2021) - [i11]Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee:
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR abs/2111.11053 (2021) - [i10]Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. CoRR abs/2112.02644 (2021) - 2020
- [i9]Ziqi Zhang, Yuanchun Li, Yao Guo, Xiangqun Chen, Yunxin Liu:
Dynamic Slicing for Deep Neural Networks. CoRR abs/2009.13747 (2020) - [i8]Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. CoRR abs/2012.08687 (2020) - 2019
- [i7]Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin:
Supporting Video Queries on Zero-Streaming Cameras. CoRR abs/1904.12342 (2019) - [i6]Mengwei Xu, Xiwen Zhang, Yunxin Liu, Xuanzhe Liu, Felix Xiaozhu Lin:
Approximate Query Processing on Autonomous Cameras. CoRR abs/1909.00841 (2019) - [i5]Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu:
Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework. CoRR abs/1910.11609 (2019) - 2018
- [i4]Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu:
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning. CoRR abs/1812.05448 (2018) - 2017
- [i3]Longbo Huang, Minghua Chen, Yunxin Liu:
Learning-aided Stochastic Network Optimization with Imperfect State Prediction. CoRR abs/1705.05058 (2017) - [i2]Mengwei Xu, Xuanzhe Liu, Yunxin Liu, Felix Xiaozhu Lin:
Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse. CoRR abs/1712.01670 (2017) - 2016
- [i1]Xuanzhe Liu, Yun Ma, Shuailiang Dong, Yunxin Liu, Tao Xie, Gang Huang, Hong Mei:
ReWAP: Reducing Redundant Transfers for Mobile Web Applications via App-Specific Resource Packaging. CoRR abs/1605.06678 (2016)
Coauthor Index
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