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ORCIDLi Xiong 0001
Person information
- affiliation: Emory University, Atlanta, GA, USA
- affiliation (PhD 2005): Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
Other persons with the same name
- Li Xiong 0002
![[0000-0003-1892-524X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1892-524X")
— Shanghai University, School of Management, Shanghai, China - Li Xiong 0003 — McMaster University, Hamilton, Canada
- Li Xiong 0004 — Wuhan University of Technology, School of Computer, China
- Li Xiong 0005 — Shanghai Insitute of Foreign Trade, China
- Li Xiong 0006 — Capital Normal University, Beijing, China
- Li Xiong 0007 — University of Southern California, Los Angeles, CA, USA
- Li Xiong 0008 — Beijing Institute of Technology, School of Information and Electronics, China
- Li Xiong 0009 — Hexi University, School of Physics and Electromechanical Engineering, Zhangye, China (and 1 more)
- Li Xiong 0010 — Wuhan University of Science and Technology, MoE Key Laboratory of Metallurgical Equipment and Control Technology, China
- Li Xiong 0011 — Wuhan University, Zhongnan Hospital, Neurology Department, China (and 1 more)
- Li Xiong 0012 — Chinese University of Hong Kong, Hong Kong
- Li Xiong 0013 — Beijing China-Power Information Technology Co., Ltd, State Grid Information & Telecommunication Group, China
- Li Xiong 0014 — GTE Labs. Inc., Waltham, MA, USA
- Li Xiong 0015 — Central South University, Second Xiangya Hospital, China
- Li Xiong 0016 — Dalian Polytechnic University, School of Information Science and Engineering, China
- Li Xiong 0017 — China University of Geosciences, Department of Atmospheric Science, Wuhan, China
- Li Xiong 0018 — East China Jiaotong University, School of Information Engineering, Nanchang, China
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2020 – today
- 2023
[j61]Sivasubramanium V. Bhavani, Li Xiong, Abish Pius, Matthew W. Semler, Edward T. Qian, Philip A. Verhoef, Chad Robichaux, Craig M. Coopersmith, Matthew M. Churpek:
Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection. J. Am. Medical Informatics Assoc. 30(6): 1158-1166 (2023)- [j60]Jiayao Zhang, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Efficient Sampling Approaches to Shapley Value Approximation. Proc. ACM Manag. Data 1(1): 48:1-48:24 (2023) - [j59]Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong:
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets. Proc. VLDB Endow. 16(11): 3349-3362 (2023) - [c129]Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen:
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. AAAI 2023: 11865-11872 - [c128]Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu:
Closed-form Machine Unlearning for Matrix Factorization. CIKM 2023: 3278-3287 - [c127]Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng:
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM 2023: 4140-4144 - [c126]Fereshteh Razmi, Li Xiong:
Classification Auto-Encoder Based Detector Against Diverse Data Poisoning Attacks. DBSec 2023: 263-281 - [c125]Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren:
Dynamic Shapley Value Computation. ICDE 2023: 639-652 - [c124]Qiongqiong Lin, Yunfan Gu, Jingyan Sai, Jinfei Liu, Kui Ren, Li Xiong, Tianzhen Wang, Yanbei Pang, Sheng Wang, Feifei Li:
EulerFD: An Efficient Double-Cycle Approximation of Functional Dependencies. ICDE 2023: 2878-2891 - [c123]Qiheng Sun, Xiang Li, Jiayao Zhang, Li Xiong, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren:
ShapleyFL: Robust Federated Learning Based on Shapley Value. KDD 2023: 2096-2108 - [c122]Minxing Zhang, Haowen Lin, Shun Takagi, Yang Cao, Cyrus Shahabi, Li Xiong:
CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. MDM 2023: 148-157 - [c121]Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong:
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) 2023: 446-461 - [c120]Han Xie, Li Xiong, Carl J. Yang:
Federated Node Classification over Graphs with Latent Link-type Heterogeneity. WWW 2023: 556-566 - [i56]Wenjie Wang, Li Xiong, Jian Lou:
Wasserstein Adversarial Examples on Univariant Time Series Data. CoRR abs/2303.12357 (2023) - [i55]Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen:
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. CoRR abs/2304.05516 (2023) - [i54]Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang:
Challenges towards the Next Frontier in Privacy. CoRR abs/2304.06929 (2023) - [i53]Xiaolan Gu, Ming Li, Li Xiong:
DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum. CoRR abs/2306.12608 (2023) - [i52]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Towards Mobility Data Science (Vision Paper). CoRR abs/2307.05717 (2023) - [i51]Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa:
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy. CoRR abs/2308.12210 (2023) - [i50]Fereshteh Razmi, Jian Lou, Li Xiong:
Does Differential Privacy Prevent Backdoor Attacks in Practice? CoRR abs/2311.06227 (2023) - 2022
- [j58]Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong:
Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. IEEE Trans. Dependable Secur. Comput. 19(6): 4145-4155 (2022) - [j57]Mohamed F. Mokbel, Li Xiong, Demetrios Zeinalipour-Yazti:
Introduction to the Special Issue on Contact Tracing. ACM Trans. Spatial Algorithms Syst. 8(2): 1-2 (2022) - [c119]Tsung-Ting Kuo, Xiaoqian Jiang, Hua Xu, Li Xiong, Lucila Ohno-Machado:
Existing and emerging privacy challenges and solutions for federated data coordination. AMIA 2022 - [c118]Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong:
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CCS 2022: 2809-2823 - [c117]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CIKM 2022: 1868-1877 - [c116]Payam Karisani, Negin Karisani, Li Xiong:
Multi-View Active Learning for Short Text Classification in User-Generated Data. EMNLP (Findings) 2022: 6441-6453 - [c115]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [e10]Mohammad Al Hasan, Li Xiong:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022. ACM 2022, ISBN 978-1-4503-9236-5 [contents] - [i49]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR abs/2208.00993 (2022) - [i48]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - [i47]Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong:
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CoRR abs/2209.15091 (2022) - [i46]Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR abs/2210.04442 (2022) - [i45]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR abs/2211.01628 (2022) - [i44]Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Sook Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Cyrus Shahabi, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Bettina Speckmann, Egemen Tanin, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science (Dagstuhl Seminar 22021). Dagstuhl Reports 12(1): 1-34 (2022) - 2021
- [j56]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j55]Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas D. Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai W. Post, Li Xiong, Lucila Ohno-Machado:
Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track. Int. J. Medical Informatics 154: 104559 (2021) - [j54]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j53]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [j52]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15(4): 828-840 (2021) - [j51]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei, Jun Luo, Yuzhang Guo, Shuaicheng Ma, Chenglin Fan:
Skyline Diagram: Efficient Space Partitioning for Skyline Queries. IEEE Trans. Knowl. Data Eng. 33(1): 271-286 (2021) - [j50]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Wenhui Yu:
Group-Based Skyline for Pareto Optimal Groups. IEEE Trans. Knowl. Data Eng. 33(7): 2914-2929 (2021) - [j49]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. IEEE Trans. Knowl. Data Eng. 33(8): 3141-3154 (2021) - [j48]Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin:
Visually aware recommendation with aesthetic features. VLDB J. 30(4): 495-513 (2021) - [c114]Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. AISTATS 2021: 1180-1188 - [c113]Xiaoqian Jiang, Luca Bonomi, Jaideep Vaidya, Li Xiong, Lucila Ohno-Machado:
Privacy-Preserving Federated Biomedical Data Analysis. AMIA 2021 - [c112]Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong:
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR 2021 - [c111]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CIKM 2021: 3313-3317 - [c110]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller:
Orthogonal Over-Parameterized Training. CVPR 2021: 7251-7260 - [c109]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. ICCV 2021: 7808-7817 - [c108]Shuaicheng Ma, Yang Cao, Li Xiong:
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. ICDE Workshops 2021: 88-91 - [c107]Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo:
Eclipse: Generalizing kNN and Skyline. ICDE 2021: 972-983 - [c106]Yanan Da, Ritesh Ahuja, Li Xiong, Cyrus Shahabi:
REACT: Real-Time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking. ICDE 2021: 2729-2732 - [c105]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. ICDM 2021: 1216-1221 - [c104]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong:
Private Stochastic Non-convex Optimization with Improved Utility Rates. IJCAI 2021: 3370-3376 - [c103]Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong:
PAM: Understanding Product Images in Cross Product Category Attribute Extraction. KDD 2021: 3262-3270 - [c102]Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong:
Certified Robustness to Word Substitution Attack with Differential Privacy. NAACL-HLT 2021: 1102-1112 - [c101]Han Xie, Jing Ma, Li Xiong, Carl Yang:
Federated Graph Classification over Non-IID Graphs. NeurIPS 2021: 18839-18852 - [c100]Mani Sotoodeh, Li Xiong, Joyce Ho:
CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data. PAKDD (2) 2021: 181-193 - [c99]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. WWW 2021: 171-182 - [i43]Shuaicheng Ma, Yang Cao, Li Xiong:
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. CoRR abs/2101.10572 (2021) - [i42]Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford:
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR abs/2101.12099 (2021) - [i41]Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller:
Learning with Hyperspherical Uniformity. CoRR abs/2103.01649 (2021) - [i40]Mani Sotoodeh, Li Xiong, Joyce C. Ho:
CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data. CoRR abs/2103.17144 (2021) - [i39]Payam Karisani, Jinho D. Choi, Li Xiong:
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. CoRR abs/2105.11354 (2021) - [i38]Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong:
PAM: Understanding Product Images in Cross Product Category Attribute Extraction. CoRR abs/2106.04630 (2021) - [i37]Han Xie, Jing Ma, Li Xiong, Carl Yang:
Federated Graph Classification over Non-IID Graphs. CoRR abs/2106.13423 (2021) - [i36]Farnaz Tahmasebian, Jian Lou, Li Xiong:
RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR abs/2107.08402 (2021) - [i35]Fereshteh Razmi, Li Xiong:
Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks. CoRR abs/2108.04206 (2021) - [i34]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR abs/2108.09412 (2021) - [i33]Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi:
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR abs/2108.09413 (2021) - [i32]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Temporal Network Embedding via Tensor Factorization. CoRR abs/2108.09837 (2021) - [i31]Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho:
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. CoRR abs/2109.01718 (2021) - [i30]Xiaolan Gu, Ming Li, Li Xiong:
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy. CoRR abs/2110.11578 (2021) - [i29]Payam Karisani, Negin Karisani, Li Xiong:
Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data. CoRR abs/2112.02611 (2021) - 2020
- [j47]Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong:
Generating sequential electronic health records using dual adversarial autoencoder. J. Am. Medical Informatics Assoc. 27(9): 1411-1419 (2020) - [j46]Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. Proc. VLDB Endow. 13(12): 3001-3004 (2020) - [j45]Li Xiong, Cyrus Shahabi, Yanan Da, Ritesh Ahuja, Vicki Hertzberg, Lance Waller, Xiaoqian Jiang, Amy Franklin:
REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking. ACM SIGSPATIAL Special 12(2): 3-14 (2020) - [j44]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. ACM SIGSPATIAL Special 12(3): 3-6 (2020) - [j43]Wenhui Yu, Jinfei Liu, Jian Pei, Li Xiong, Xu Chen, Zheng Qin:
Efficient Contour Computation of Group-Based Skyline. IEEE Trans. Knowl. Data Eng. 32(7): 1317-1332 (2020) - [c98]Wenjie Wang, Youngja Park, Taesung Lee, Ian M. Molloy, Pengfei Tang, Li Xiong:
Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries. ClinicalNLP@EMNLP 2020: 259-268 - [c97]Qiuchen Zhang, Jing Ma, Yonghui Xiao, Jian Lou, Li Xiong:
Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks. IEEE BigData 2020: 1061-1070 - [c96]Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang:
Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels. IEEE BigData 2020: 1103-1110 - [c95]Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho:
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. CIKM 2020: 1295-1304 - [c94]Rongmei Lin, Weiyang Liu, Zhen Liu, Chen Feng, Zhiding Yu, James M. Rehg, Li Xiong, Le Song:
Regularizing Neural Networks via Minimizing Hyperspherical Energy. CVPR 2020: 6916-6925 - [c93]Farnaz Tahmasebian, Li Xiong, Mani Sotoodeh, Vaidy S. Sunderam:
Crowdsourcing Under Data Poisoning Attacks: A Comparative Study. DBSec 2020: 310-332 - [c92]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
PGLP: Customizable and Rigorous Location Privacy Through Policy Graph. ESORICS (1) 2020: 655-676 - [c91]Xiaolan Gu, Ming Li, Li Xiong, Yang Cao:
Providing Input-Discriminative Protection for Local Differential Privacy. ICDE 2020: 505-516 - [c90]Wenjie Wang, Pengfei Tang, Li Xiong, Xiaoqian Jiang:
RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR. ECML/PKDD (4) 2020: 105-121 - [c89]Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong:
Spatio-Temporal Tensor Sketching via Adaptive Sampling. ECML/PKDD (1) 2020: 490-506 - [c88]Farnaz Tahmasebian, Li Xiong, Mani Sotoodeh, Vaidy S. Sunderam:
EdgeInfer: Robust Truth Inference under Data Poisoning Attack. SMDS 2020: 45-52 - [c87]Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao:
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility. USENIX Security Symposium 2020: 967-984 - [e9]Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents] - [e8]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020. ACM 2020, ISBN 978-1-4503-8019-5 [contents] - [i28]Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song:
Orthogonal Over-Parameterized Training. CoRR abs/2004.04690 (2020) - [i27]Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa:
PANDA: Policy-aware Location Privacy for Epidemic Surveillance. CoRR abs/2005.00186 (2020) - [i26]Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu:
Customizable and Rigorous Location Privacy through Policy Graph. CoRR abs/2005.01263 (2020) - [i25]Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong:
Spatio-Temporal Tensor Sketching via Adaptive Sampling. CoRR abs/2006.11943 (2020)
2010 – 2019
- 2019
- [j42]Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa:
PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services. Proc. VLDB Endow. 12(12): 1866-1869 (2019) - [j41]Ralf Hartmut Güting, Roberto Tamassia, Li Xiong, Farnoush Banaei Kashani, Erik G. Hoel:
The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018) Seattle, Washington, USA November 6-9, 2018: conference report. ACM SIGSPATIAL Special 11(1): 29-31 (2019) - [j40]Boyang Wang, Ming Li, Li Xiong:
FastGeo: Efficient Geometric Range Queries on Encrypted Spatial Data. IEEE Trans. Dependable Secur. Comput. 16(2): 245-258 (2019) - [j39]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. IEEE Trans. Knowl. Data Eng. 31(7): 1281-1295 (2019) - [j38]Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure and Efficient Skyline Queries on Encrypted Data. IEEE Trans. Knowl. Data Eng. 31(7): 1397-1411 (2019) - [j37]Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong:
Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations". IEEE Trans. Knowl. Data Eng. 31(11): 2234 (2019) - [c86]Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang:
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. CIKM 2019: 1291-1300 - [c85]Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang:
SkyRec: Finding Pareto Optimal Groups. CIKM 2019: 2913-2916 - [c84]Xiaolan Gu, Ming Li, Yang Cao, Li Xiong:
Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy. CNS 2019: 124-132 - [c83]