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Underlined authors are my students. * authors are my co-supervised students.

Full list of papers can be find in here.

Selected Conference Papers

  1. Jie Ji, Gen Li*, Jingjing Fu, Fatemeh Afghah, Linke Guo, Xiaoyong Yuan, Xiaolong Ma, ``A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training", Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec. 9-15th, 2024.
  2. Chenxu Jiang, Sihan Yu, Jingjing Fu, ChunChih Lin, Huadi Zhu, Xiaolong Ma, Ming Li, and Linke Guo, ``Behaviors Speak More: Achieving User Authentication Leveraging Facial Activities via mmWave Sensing'', 22nd ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2024), Hangzhou, China, Nov. 4-7, 2024. (Best Paper Honorable Mention, Top 7 among 58 accepted papers)
  3. ChunChih Lin, Gen Li*, Xiaonan Zhang, and Linke Guo, ``RF Sensing-enabled Interference Mitigation for Wi-Fi-based IoT Systems: A Deep Learning Approach'',IEEE Conference on Communications and Network Security (IEEE CNS), Taipei, Taiwan, Sept.30-Oct.3, 2024.
  4. Jie Ji, Gen Li*, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma, ``Advancing Dynamic Sparse Training by Exploring Optimization Opportunities'', The Forty-first International Conference on Machine Learning (ICML 2024) , Vienna, Austria, Jul. 21-27, 2024.
  5. Sihan Yu, Jingjing Fu, Chenxu Jiang, ChunChih Lin, Zhenkai Zhang, Long Cheng, Ming Li, Xiaonan Zhang, and Linke Guo, ``FreeEM: Uncovering Parallel Memory EMR Covert Communication in Volatile Environments'', The 22nd ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys 2024), Tokyo, Japan, Jun. 3 - 7, 2024.
  6. Gen Li*, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bịn Ren, Linke Guo, Shiwei Liu, and Xiaolong Ma, ``NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization'', The Twelfth International Conference on Learning Representations (ICLR 2024) , Vienna, Austria, May 7-11, 2024.
  7. Mohammed Aldeen, Sisheng Liang, Zhenkai Zhang, Linke Guo, Zheng Song, and Long Cheng, ``EMMasker: EM Obfuscation Against Website Fingerprinting'', 6th Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb 2024), Network and Distributed System Security (NDSS), San Diego, California, Feb. 26 - Mar. 1, 2024. (Best Paper Runner-up)
  8. Song Liao, Long Cheng, Haipeng Cai, Linke Guo, Hongxin Hu, ``SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase'', The 30th ACM SIGSAC Conference on Computer and Communications Security (ACM CCS 2023), Copenhagen, Denmark, Nov. 26-30, 2023.
  9. Hansong Zhou, Shaoyin Wang, Chutian Jiang, Xiaonan Zhang, Linke Guo, and Yukun Yuan, ``Waste Not, Want Not: Service Migration-Assisted Federated Intelligence for Multi-Modality Mobile Edge Computing'', The 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc 2023), Washington D. C., October 23-26, 2023. (Accept Ratio: 22%).
  10. Gen Li*, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma, “Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting”, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023) (Accept Ratio: 25.78%).
  11. Hansong Zhou, Xiaonan Zhang, Sihan Yu, Beatriz Lorenzo, and Linke Guo, ``DQN-based QoE Enhancement for Data Collection in Heterogeneous IoT Network'', The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS 2022), Denver, Colorado, Oct. 20-22, 2022.
  12. Sihan Yu, ChunChih Lin, Xiaonan Zhang, and Linke Guo``Defending against Cross-Technology Jamming in Heterogeneous IoT Systems", The 42nd International Conference on Distributed Computing Systems (IEEE ICDCS 2022), Bologna, Italy, July 10-13, 2022. (Accept Ratio: 19.9%).
  13. Sihan Yu, Xiaonan Zhang, Pei Huang, Linke Guo, ``Physical-Level Parallel Inclusive Communication for Heterogeneous IoT Devices'', The 41st IEEE International Conference on Computer Communication (IEEE INFOCOM' 22), May 2022. (Accept Ratio: 19.9%).
  14. Xia Cheng, Junyang Shi, Mo Sha, and Linke Guo, ``Launching Smart Selective Jamming Attacks in WirelessHART Networks'', The 40th IEEE International Conference on Computer Communication (IEEE INFOCOM' 21), May 2021. (Accept Ratio: 19.9%)
  15. Wenqiang Jin, Ming Li, Srinivasan Murali, and Linke Guo, ``Harnessing the Ambient Radio Frequency Noise for Wearable Device Pairing'', The 27th ACM SIGSAC Conference on Computer and Communications Security (ACM CCS 2020), Virtual Conference, November 9-13, 2020.
  16. Sihan Yu, Xiaonan Zhang, Pei Huang, Linke Guo, Long Cheng, and KuangChing Wang, ''AuthCTC: Defending Against Waveform Emulation Attack in Heterogeneous IoT Environments'', 15th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2020), Taipei, Taiwan, Oct. 5-9, 2020. (Accept Ratio: 21%)
  17. Xiaonan Zhang, Pei Huang, Linke Guo, and Yuguang Fang, ''Hide and Seek: Waveform Emulation Attack and Defense in Cross-Technology Communication'', The 39th International Conference on Distributed Computing Systems (IEEE ICDCS 2019), Dallas, TX, July 7 - 10, 2019. (Accept Ratio: 19%)
  18. Mingyan Xiao, Ming Li, Linke Guo, Miao Pan, Zhu Han, and Pan Li, ''Securing Task Allocation in Mobile Crowd Sensing: An Incentive Mechanism Design Approach'', 2019 IEEE Conference on Communications and Network Security (CNS 2019), Washington D.C., Jun. 10-12, 2019. (Accept Ratio: 27.8%)
  19. Xiaonan Zhang, Pei Huang, Linke Guo, and Mo Sha, ''Incentivizing Relay Participation for Securing IoT Communication", The 38th IEEE International Conference on Computer Communication (IEEE INFOCOM' 19), Paris, France, Apr. 29-May. 2, 2019. (Accept Ratio: 19%)
  20. Wenqiang Jin, Mingyan Xiao, Ming Li, and Linke Guo, ''If You Do Not Care About It, Sell It: Trading Location Privacy in Mobile Crowd Sensing", The 38th IEEE International Conference on Computer Communication (IEEE INFOCOM' 19), Paris, France, Apr. 29-May. 2, 2019. (Accept Ratio: 19%)
  21. Xiaonan Zhang, Pei Huang, Qi Jia, and Linke Guo, ``CREAM: Unauthorized Secondary User Detection in Fading Environments'', Proc. of 15th International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2018), Chengdu, China, October 2018.
  22. Wenqiang Jin, Ming Li, Linke Guo, and Lei Yang, ``DPDA: A Differentially Private Double Auction Scheme for Mobile Crowd Sensing'', IEEE Conference on Communications and Network Security (CNS 2018), Beijing, China, May 29-Jun. 1, 2018. (Accept Ratio: 28.2%)
  23. Xiaonan Zhang, Qi Jia, and Linke Guo, ``Secure and Optimized Unauthorized Secondary User Detection in Dynamic Spectrum Access''. IEEE Conference on Communications and Network Security (CNS 2017), Las Vegas, NV, Oct. 9-11, 2017. (Accept Ratio: 29.9%).
  24. Jiajun Xin, Ming Li, Linke Guo, and Pan Li, ``Practical Privacy-Preserving Spectrum Query Schemes for Database-Driven CRNs with Multiple Service Providers''. IEEE Conference on Communications and Network Security (CNS 2017), Las Vegas, NV, Oct. 9-11, 2017. (Accept Ratio: 29.9%).
  25. Qi Jia, Linke Guo, Zhanpeng Jin, and Yuguang Fang, `` Privacy-preserving Data Classification and Similarity Evaluation for Distributed Systems'', The 36th International Conference on Distributed Computing Systems (IEEE ICDCS'16), Nara, Japan, Jun. 27-Jun. 30, 2016. (Accept Ratio = 17.6%)
  26. Gaoqiang Zhuo, Qi Jia, Linke Guo, Ming Li, and Pan Li, ``Privacy-preserving Verifiable Data Aggregation and Analysis for Cloud-assisted Mobile Crowdsourcing'', The 35th IEEE International Conference on Computer Communication (IEEE INFOCOM' 16), San Francisco, California, April 10-15, 2016. (Accept Ratio = 18.25%)
  27. Gaoqiang Zhuo, Qi Jia, Linke Guo, Ming Li, and Yuguang Fang, ''Privacy-preserving Verifiable Proximity Test for Location-based Services'', The IEEE Global Communications Conference (GLOBECOM 2015), San Diego, California, December 6-10, 2015. (Best Paper Award)
  28. Kaihe Xu, Hao Yue, Linke Guo, Yuanxiong Guo, and Yuguang Fang, ''Privacy-preserving Machine Learning Algorithms for Big Data Systems'', The 35th International Conference on Distributed Computing Systems (ICDCS'15), Columbus, Ohio, Jun. 29-Jul. 2, 2015. (Accept Ratio = 12.9%)
  29. Linke Guo, Yuguang Fang, Ming Li, Pan Li, ''Verifiable Privacy-preserving Monitoring for Cloud-assisted mHealth Systems'', The 34th IEEE International Conference on Computer Communication (IEEE INFOCOM' 15), Hong Kong, China, Apr. 26-May. 1, 2015. (Accept Ratio: 19%)
  30. Ming Li, Pan Li, Linke Guo, Xiaoxia Huang, ''PPER: Privacy-Preserving Economic-Robust Spectrum Auction in Wireless Networks'', The 34th IEEE International Conference on Computer Communication (IEEE INFOCOM' 15), Hong Kong, China, Apr. 26-May. 1, 2015. (Accept Ratio: 19%)
  31. Jiawei Yuan, Shucheng Yu, Linke Guo, ''SEISA: Secure and Efficient Encrypted Image Search With Access Control", The 34th IEEE International Conference on Computer Communication (IEEE INFOCOM' 15), Hong Kong, China, Apr. 26-May. 1, 2015. (Accept Ratio: 19%)
  32. Linke Guo, Chi Zhang, and Yuguang Fang, "Privacy-preserving Revocable Content Sharing in Geosocial Networks" IEEE Conference on Communications and Network Security 2013 (IEEE CNS' 13), Washington, D.C., October 14-16, 2013. (Accept Ratio = 28%)
  33. Linke Guo, Yuguang Fang, and Lingbo Wei, "Fine-grained Privacy-preserving Reputation System for Online Social Networks (Invited Paper)", The 2nd IEEE/CIC International Conference on Communications in China (ICCC 2013), Xi'an, China, August 12-14, 2013
  34. Linke Guo, Chi Zhang, Hao Yue, and Yuguang Fang, "A Privacy-preserving Social-assisted Mobile Content Dissemination Scheme in DTNs", The 32nd IEEE International Conference on Computer Communications (IEEE INFOCOM' 13), Turin, Italy, April 14-19, 2013. (Accept Ratio = 17%)
  35. Xinxin Liu, Kaikai Liu, Linke Guo, Xiaolin Li, and Yuguang Fang, "A Game-Theoretic Approach for Achieving k-Anonymity in Location Based Services", The 32nd IEEE International Conference on Computer Communications (IEEE INFOCOM' 13), Turin, Italy, April 14-19, 2013. (Accept Ratio = 17%)
  36. Linke Guo, Chi Zhang, Jinyuan Sun, and Yuguang Fang, "PAAS: Privacy-Preserving Attribute-based Authentication System for eHealth Networks", The 32nd International Conference on Distributed Computing Systems (ICDCS'12), Macau, China, June 18-21, 2012. (Accept Ratio = 13%)

Selected Journal Papers

  1. Haitham. H. Esmat, Xiaohao Xia, Yinxuan Wu, Beatriz Lorenzo, and Linke Guo, ``Cross-Technology Federated Matching for Age of Information Minimization in Heterogeneous IoT", Accepted by ACM/IEEE Transactions on Networking (ToN).
  2. Xiao Cheng, Junyang Shi, Mo Sha, and Linke Guo, ``Revealing Smart Selective Jamming Attacks in WirelessHART Networks'', ACM/IEEE Transactions on Networking (ToN), Vol. 31, No. 4, Aug. 2023.
  3. Xiaonan Zhang, Sihan Yu, Hansong Zhou, Pei Huang, Linke Guo, and Ming Li, ``Signal Emulation Attack and Defense for Smart Home IoT". IEEE Transactions on Dependable and Secure Computing (TDSC), Vol. 20, No. 3, May - Jun. 2023.
  4. Pei Huang, Xiaonan Zhang, Sihan Yu, Linke Guo, ``IS-WARS: Intelligent and Stealthy Adversarial Attack to Wi-Fi-based Human Activity Recognition Systems'', IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 19, no. 6, Nov.-Dec. 2022.
  5. Pei Huang, Xiaonan Zhang, Sihan Yu, Linke Guo, Ming Li, ``Wearable-User Authentication via Cross-Technology Interference in Heterogeneous Environments'', IEEE Internet of Things Journal (J-IoT), vol. 9, No. 14, Jul. 2022.
  6. Wenqiang Jin, Mingyan Xiao, Linke Guo, Lei Yang, and Ming Li, ``ULPT: A User-Centric Location Privacy TradingFramework for Mobile Crowd Sensing'', IEEE Transactions on Mobile Computing (TMC), vol. 21, no. 10, Oct. 2022.
  7. Beatriz Lorenzo, Francisco Gonzales-Castano, Linke Guo, Felipe Gil, and Yuguang Fang, “Autonomous Robustness Control for Fog Reinforcement in Dynamic Wireless Networks”, ACM/IEEE Transactions on Networking (TON), vol. 29, no 6, Dec. 2021.
  8. Xiaohao Chen, Guangyu Zhu, Lan Zhang, Linke Guo, Yuguang Fang, and Xinguang Chen, “Age-Stratified COVID-19 Spread Analysis and Vaccination: A Multitype Random Network Approach”, IEEE Transactions on Network and Science Engineering (TNSE), vol. 8, no.2, pp.1862-1872, April-June 1 2021.
  9. Pei Huang, Xiaonan Zhang, Linke Guo, and Ming Li, ``Incentivizing Differentially-private Location Protection in Mobile Crowd Sensing for Noise Monitoring'', IEEE Transactions on Mobile Computing (TMC), vol. 20, no. 2, Feb. 2021.
  10. Pan Zhou, Kehao Wang, Linke Guo, Shimin Gong, and Bolong Zheng,''A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems'', IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 33, no. 3, March 2021.
  11. Pei Huang, Linke Guo, Ming Li, and Yuguang Fang, ''Practical Privacy-preserving ECG-based Authentication for IoT-based Healthcare'', IEEE Internet of Things Journal (J-IoT), vol. 6, no. 5, Oct. 2019.
  12. Qi Jia, Linke Guo, Yuguang Fang, and Guirong Wang, ''Efficient Privacy-preserving Machine Learning in Hierarchical Distributed System'', IEEE Transactions on Network Science and Engineering (TNSE), vol. 6, no. 4, Oct.-Dec. 2019.
  13. Shurong Jiang, Xiaoyan Zhu, Linke Guo, and Jianqing Liu, ''Publicly Verifiable Boolean Query Over Outsourced Encrypted Data'', IEEE Transactions on Cloud Computing (TCC), vol. 7, no. 3, July-Sep. 2019.
  14. Xiaonan Zhang, Pei Huang, Linke Guo, and Yuguang Fang, ''Social-aware Energy-efficient Data Offloading with Strong Stability'', ACM/IEEE Transactions on Networking (TON), vol. 27, no. 4, pp. 1515-1528, Aug. 2019.
  15. Qi Jia, Linke Guo, Zhanpeng Jin, and Yuguang Fang, ''Preserving Model Privacy for Machine Learning in Distributed Systems'', IEEE Transactions on Parallel and Distributed Computing (TPDS), vol. 29, no. 8, pp. 1808-1822, Aug. 2018.
  16. Xiaonan Zhang, Linke Guo, Ming Li, and Yuguang Fang, ''Motivating Human-enabled Mobile Participation for Data Offloading'', IEEE Transactions on Mobile Computing (TMC), vol. 17, no. 7, pp. 1624-1637, July 2018.
  17. Yingyuan Yang, Jinyuan Sun, Linke Guo, "PersonaIA: A Lightweight Implicit Authentication System based on Customized User Behavior Selection", IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 16, no. 1, pp. 113-126, Jan.-Feb. 2019
  18. Gaoqiang Zhuo, Qi Jia, Linke Guo, Ming Li, and Pan Li, "Privacy-preserving Verifiable Set Operation in Big Data for Cloud-assisted Mobile Crowdsourcing", IEEE Internet of Things Journal (J-IoT), vol. 4, no. 2, pp. 199-210, Apr. 2017.
  19. Kaihe Xu, Yuanxiong Guo, Linke Guo, Yuguang Fang, and Xiaolin Li, "My Privacy My Decision: Control of Photo Sharing over Online Social Networks", IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 14, no. 2, pp. 199-210, Mar./Apr. 2017.
  20. Linke Guo, Chi Zhang, and Yuguang Fang, "A trust-based privacy-preserving friend recommendation scheme for online social networks," IEEE Transactions on Dependable and Secure Computing (TDSC), vol.12, no.4, pp.413-427, Jul. 2015.
  21. Linke Guo, Chi Zhang, Hao Yue, and Yuguang Fang,"PSaD: A privacy-preserving social- assisted content dissemination scheme in DTNs," IEEE Transactions on Mobile Computing (TMC), vol.13, no.12, pp.2903-2918, Dec. 2014.
  22. Hao Yue, Linke Guo, Ruidong Li, Hitoshi Asaeda, and Yuguang Fang, "DataCloud: Enabling Data-Centric Services over Internet of Things," IEEE Internet of Things Journal (J-IoT), vol.1, no.5, pp.472-482, Oct. 2014.
  23. Linke Guo, Chi Zhang, Jinyuan Sun, and Yuguang Fang, "A Privacy-Preserving Attribute-based Authentication System for Mobile Health Networks", IEEE Transactions on Mobile Computing (TMC), vol.13, no.9, pp.1927-1941, Sept. 2014.
Copyright © Linke Guo      Update: Aug. 2024