Tianxi Ji and Pan Li, “Less is More: Revisiting the Gaussian Mechanism for Differential Privacy,” the the 33rd USENIX Security Symposium, Philadelphia, PA, August 14-16, 2024. (Acceptance rate: 98/515=19% for Summer’23)
Srinivasan Murali, Wenqiang Jin, Vighnesh Sivaraman, Huadi Zhu, Tianxi Ji, Pan Li, and Ming Li, “Continuous Authentication Using Human-Induced Electric Potential,” the Applied Computer Security Applications Conference (ACSAC), Austin, Texas, December 4-8, 2023 (Acceptance rate: 59/246=24%)
Tianxi Ji, Erman Ayday, Emre Yilmaz, Ming Li, and Pan Li, “Privacy-Preserving Database Fingerprinting,” the Network and Distributed System Security Symposium (NDSS), San Diego, California, February 27-March 3, 2023.
Tianxi Ji, Erman Ayday, Emre Yilmaz, and Pan Li, “Robust Fingerprinting of Genomic Databases,” 30th Conference on Intelligent Systems for Molecular Biology (ISMB’22), July 10-14, 2022. (Acceptance Rate = 48/242 = 19.8%)
Emre Yilmaz, Tianxi Ji, Erman Ayday and Pan Li, “Genomic Data Sharing under Dependent Local Differential Privacy,” ACM Conference on Data and Application Security and Privacy (CODASPY’21), Baltimore-Washington DC Area, April 24-26, 2022.
Yifan Guo, Qianlong Wang, Tianxi Ji, Xufei Wang, Pan Li, “Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach,” IEEE International Conference on Big Data (BigData’21), December 15-128 2021.
Tianxi Ji, Emre Yilmaz, Erman Ayday, and
Pan Li, “The Curse of Correlations for Robust Fingerprinting of Relational Databases,” The 24th International Symposium on Research in Attacks, Intrusions and Defenses (
RAID‘21), Donostia/San Sebastian, Spain, October 6-8, 2021.
Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, and Pan Li, “Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework,” the Twenty-Second ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc’21), Shanghai, China, July 26-29, 2021.
Tianxi Ji, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang (Fanny) Ye, Jinyuan Sun, “Differentially Private Binary- and Matrix-Valued Data Query: An XOR Mechanism,” 47th International Conference on Very Large Data Bases (VLDB’21), Copenhagen, Denmark, August 16-20, 2021.
Emre Yilmaz, Erman Ayday, Tianxi Ji, and Pan Li, “Preserving Genomic Privacy via Selective Sharing,” ACM Workshop on Privacy in the Electronic Society (WPES), November 9, 2020.
Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, and Shouhuai Xu, “Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub,” IEEE International Conference on Knowledge Graph (ICKG’20), Nanjing, China, August 9-11, 2020.
Kun Yang, Xuhui Chen, and Pan Li, “Data Streaming Analysis Framework for Through-time 3D Free-breathing Liver DCE-MRI,” IEEE International Conference on Big Data (BigData’19), Los Angeles, CA, December 9-12, 2019.
Tianxi Ji, Changqing Luo, Yifan Guo, Qianlong Wang, and Pan Li, “Differentially Private Community Detection in Attributed Social Networks,” the 11th Asian Conference on Machine Learning (ACML’19), Nagoya, Japan, November 17-19, 2019.
Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, and Pan Li, “Quantized Adversarial Training: An Iterative Quantized Local Search Approach,” the 18th IEEE International Conference on Data Mining (ICDM’19), Beijing, China, November 8-11, 2019. (Acceptance Ratio: 18.5% with 95 regular and 99 short papers)
Xinyue Zhang, Jiahao Ding, Sai Mounika Errapotu, Xiaoxia Huang, Pan Li, and Miao Pan, “Differentially Private Functional Mechanism for Generative Adversarial Networks,” IEEE Global Communications Conference (GLOBECOM’19), Waikoloa, Hawaii, December 9-13, 2019.
Feng Hu, Bing Chen, Jingyi Wang, Ming Li, Pan Li, and Miao Pan, “MastDP: Matching Based Double Auction Mechanism for Spectrum Trading with Differential Privacy,” IEEE Global Communications Conference (GLOBECOM’19), Waikoloa, Hawaii, December 9-13, 2019.
Lixing Yu, Wenqiang Jin, Ming Li, and Pan Li, “Exploring Spatial-Temporal Patterns from Individual User Cellular Traffic,” IEEE International Symposium on Dynamic Spectrum Access Networks, Newark, NJ, November 11-14, 2019.
Jinlong Ji, Xuhui Chen, QianlongWang, Lixing Yu, and Pan Li, “Learning to Learn Gradient Aggregation by Gradient Descent,” the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), Macao, China, August 10-16 2019. (Acceptance Ratio = 850/4752 = 17.9%)
Dian Shi, Xuanheng Li, Ming Li, Jie Wang, Pan Li, and Miao Pan, “Optimal Transportation Network Company Vehicle Dispatching via Deep Deterministic Policy Gradient,” the 14th International Conference on Wireless Algorithms, Systems, and Applications (WASA), Hawaii, June 24-26, 2019.
Mingyan Xiao, Ming Li, Linke Guo, Miao Pan, Zhu Han, and Pan Li, “Securing Task Allocation in Mobile Crowd Sensing: An Incentive Design Approach,” IEEE Conference on Communications and Network Security (CNS’19), Washington, D.C., June 10-12, 2019.
Xufei Wang, Weixian Liao, Yifan Guo, Lixing Yu, Qianlong Wang, Miao Pan, and Pan Li, “PerRNN: Personalized Recurrent Neural Networks for Acceleration-based Human Activity Recognition,” IEEE International Conference on Communications (ICC’19), Shanghai, China, May 20-24, 2019.
Xuhui Chen, Jinlong Ji, Changqing Luo, Weixian Liao, and Pan Li, “When Machine Learning Meets Blockchain: A Decentralized, Privacy-preserving, and Secure Design,” IEEE International Conference on Big Data (BigData’18), Seattle, WA, December 10-13, 2018. (Acceptance Ratio = 98 (regular papers)/518 = 18.9%)
Weixian Liao, Yifan Guo, Xuhui Chen, and Pan Li, “A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection,” IEEE International Conference on Big Data (BigData’18), Seattle, WA, December 10-13, 2018. (Acceptance Ratio = 98 (regular papers)/518 = 18.9%)
Jinlong Ji, Xuhui Chen, Lixing Yu, Changqing Luo, and Pan Li, “SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud,” the 10th Asian Conference on Machine Learning (ACML’18), Beijing, China, November 14-16, 2018. (Acceptance Ratio = 57/230 = 24.8%)
Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, and Pan Li, “Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach,” the 10th Asian Conference on Machine Learning (ACML’18), Beijing, China, November 14-16, 2018. (Acceptance Ratio = 57/230 = 24.8%)
Sergio Salinas, Ming Li, and Pan Li, “Energy-based Detection of Defect Injection Attacks in IoT-enabled Manufacturing,” IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, December 9-13, 2018.
Xinyue Zhang, Jingyi Wang, Hongning Li, Yuanxiong Guo, Qingqi Pei, Pan Li, and Miao Pan, “Data-Driven Caching with Users’ Local Differential Privacy in Information-Centric Networks,” IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, December 9-13, 2018.
Changqing Luo, Sergio Salinas, and Pan Li, “Efficient Privacy-Preserving Large-scale CP Tensor Decompositions,” IEEE Global Communications Conference (GLOBECOM’18), Abu Dhabi, UAE, December 9-13, 2018.
Xuhui Chen, Jinlong Ji, Tianxi Ji, and Pan Li, “Cost-Sensitive Deep Active Learning for Epileptic Seizure Detection,” the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB’18), Washington, DC, August 29-September 1, 2018.
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Changqing Luo, Jinlong Ji, Qianlong Wang, Lixing Yu, and
Pan Li, “
Online Power Control for 5G Wireless Communications: A Deep Q-network Approach,” IEEE International Conference on Communications (ICC’18), Kansas City, MO, May 20-24, 2018.
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Changqing Luo, Sergio Salinas, Ming Li, and
Pan Li, “
Energy-efficient Computation Automatic Offloading in Mobile Edge Computing,” the 15th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC’17), Orlando, FL, November 6-10, 2017 (
Best Paper Award)
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Gaoqiang Zhuo, Qi Jia, Linke Guo, Ming Li, and
Pan Li, “
Privacy-preserving Verifiable Data Aggregation and Analysis for Cloud-assisted Mobile Crowdsourcing,” IEEE International Conference on Computer Communication (INFOCOM’16), San Francisco, California, April 10-15, 2016. (Acceptance Ratio = 300/1644 = 18.25%)
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Yawei Pang, Yanru Zhang, Yunan Gu, Miao Pan, Zhu Han, and
Pan Li, “
Efficient Data Collection for Wireless Rechargeable Sensor Clusters in Harsh Terrains Using UAVs,” IEEE Global Communications Conference (GLOBECOM’14), Austin, TX, December 8-12, 2014.
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Weixian Liao, Ming Li, Sergio Salinas,
Pan Li, and Miao Pan, “
Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks,” IEEE International Conference on Distributed Computing Systems (ICDCS’14), Madrid, Spain, June 30-July 3, 2014. (Acceptance ratio: 66/500 = 13%)
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Yan Long, Hongyan Li, Miao Pan,
Pan Li, and Jiandong Li, “
Scalable Video Coding Based Video Transmission in MRMC Networks: A Cross-Layer Design Perspective,” IEEE International Conference on Communications in China (ICCC’13), Xi’an, China, August 12-14, 2013.
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Miao Pan,
Pan Li, Yang Song, Yuguang Fang, and Phone Lin, “
Spectrum Clouds: A Session Based Spectrum Trading System for Multi-hop Cognitive Radio Networks,” IEEE International Conference on Computer Communications (INFOCOM’12), Orlando, Florida, March 25-30, 2012. (Acceptance ratio: 278/1547 = 18%)
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Pan Li, Xiaoxia Huang, and Yuguang Fang, “
Capacity Scaling of Multihop Cellular Networks,” IEEE International Conference on Computer Communications (INFOCOM’11), Shanghai, China, April 10-15, 2011. (Acceptance ratio: 291/1823 = 15.96%)
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Ren Han, Xiaoxia Huang, and
Pan Li, “
Transport Control Based on Spectrum Switching Detection in Cognitive Radio Ad Hoc Networks,” the seventh International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine’10), Houston, TX, November 17-19, 2010. (Invited Paper)
Pan Li and Yuguang Fang, “
The Capacity of Heterogeneous Wireless Networks,” IEEE International Conference on Computer Communications (INFOCOM’10), San Diego, CA, March 15-19, 2010. (There were some typos in the conference paper, which have been corrected in
this version.) (Acceptance ratio: 276/1575 = 17.5%)
Pan Li, Yuguang Fang, and Jie Li, “
Throughput, Delay, and Mobility in Wireless Ad Hoc Networks,” IEEE International Conference on Computer Communications (INFOCOM’10), San Diego, CA, March 15-19, 2010. (There were some typos in the conference paper, which have been corrected in
this version.) (Acceptance ratio: 276/1575 = 17.5%)
Hao Wen, Jia Liu, Chuang Lin, Fengyuan Ren,
Pan Li, and Yuguang Fang, “
RENA: Region-based Routing in Intermittently Connected Mobile Network,” ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM’09), Tenerife, Canary Islands, Spain, October 26-30, 2009. (
A Best Paper Award Candidate)
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Qiang Shen, Xuming Fang, Rongsheng Huang,
Pan Li and Yuguang Fang, “
Leveraging Spatial Reuse with Adaptive Carrier Sensing in 802.11 Wireless Networks,” the Fifth International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine’08), HongKong, China, July 28-31, 2008.
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Pan Li, Nicola Scalabrino, Yuguang Fang, E. Gregori, and Imrich Chlamtac, “
Channel Interference in IEEE 802.11b Systems,” IEEE Global Communications Conference (GLOBECOM’07), Washington, D.C., November 26-30, 2007.
Roberto Riggio, Francesco De Pellegrini, Nicola Scalabrino,
Pan Li, Yuguang Fang, and Imrich Chlamtac, “
Performance of a Novel Adaptive Traffic Aggregation Scheme for Wireless Mesh Networks,” IEEE Military Communications Conference (Milcom’07), Orlando, FL, October 29-31, 2007.
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