Li Xiong

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 172

Top Venues

CoRR

ICDE

IEEE Trans. Knowl. Data Eng.

Proc. VLDB Endow.

Publications

Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
TabularMark: Watermarking Tabular Datasets for Machine Learning. CoRR (2024)
Haowen Lin, Yao-Yi Chiang, Li Xiong, Cyrus Shahabi
Unified Modeling and Clustering of Mobility Trajectories with Spatiotemporal Point Processes. SDM (2024)
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR (2024)
Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization. CoRR (2024)
Hong-Kyu Lee, Qiuchen Zhang, Carl J. Yang, Jian Lou, Li Xiong
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning. CoRR (2024)
Fereshteh Razmi, Jian Lou, Li Xiong
Does Differential Privacy Prevent Backdoor Attacks in Practice? DBSec (2024)
Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. CoRR (2024)
Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps. CoRR (2024)
Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen
DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. CoRR (2024)
Haocheng Xia, Xiang Li, Junyuan Pang, Jinfei Liu, Kui Ren, Li Xiong
P-Shapley: Shapley Values on Probabilistic Classifiers. Proc. VLDB Endow. 17 (7) (2024)
Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-an Ko, Li Xiong
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. AAAI (2024)
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-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, 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
Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. WWW (2024)
Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Li Xiong
When Data Pricing Meets Non-Cooperative Game Theory. ICDE (2024)
Yuran Bi, Jinfei Liu, Chen Zhao, Junyi Zhao, Kui Ren, Li Xiong
Share: Stackelberg-Nash based Data Markets. ICDE (2024)
Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin
MUter: Machine Unlearning on Adversarially Trained Models. ICCV (2023)
Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM (2023)
Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy. CoRR (2023)
Fereshteh Razmi, Li Xiong
Classification Auto-Encoder Based Detector Against Diverse Data Poisoning Attacks. DBSec (2023)
Han Xie, Li Xiong, Carl Yang
Federated Node Classification over Graphs with Latent Link-type Heterogeneity. WWW (2023)
Wenjie Wang, Li Xiong, Jian Lou
Wasserstein Adversarial Examples on Univariant Time Series Data. CoRR (2023)
Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Venkatraman Bhavani
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. ML4H@NeurIPS (2023)
Jiayao Zhang, Haocheng Xia, Qiheng Sun, Jinfei Liu, Li Xiong, Jian Pei, Kui Ren
Dynamic Shapley Value Computation. ICDE (2023)
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) (2023)
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) (2023)
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)
Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong
Supporting Pandemic Preparedness with Privacy Enhancing Technology. TPS-ISA (2023)
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)
Mohammad Al Hasan, Li Xiong
CIKM 2022 Conference Report. SIGWEB Newsl. 2023 (Spring) (2023)
Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong
Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records. ECML/PKDD (3) (2023)
Fereshteh Razmi, Jian Lou, Li Xiong
Does Differential Privacy Prevent Backdoor Attacks in Practice? CoRR (2023)
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)
Minxing Zhang, Haowen Lin, Shun Takagi, Yang Cao, Cyrus Shahabi, Li Xiong
CSGAN: Modality-Aware Trajectory Generation via Clustering-based Sequence GAN. MDM (2023)
Shuijing Zhang, Jian Lou, Li Xiong, Xiaoyu Zhang, Jing Liu
Closed-form Machine Unlearning for Matrix Factorization. CIKM (2023)
Xiaolan Gu, Ming Li, Li Xiong
DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
Payam Karisani, Negin Karisani, Li Xiong
Multi-View Active Learning for Short Text Classification in User-Generated Data. EMNLP (Findings) (2022)
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)
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)
Qiuchen Zhang, Jing Ma, Jian Lou, Carl Yang, Li Xiong
Towards Training Graph Neural Networks with Node-Level Differential Privacy. CoRR (2022)
Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. CoRR (2022)
Pengfei Tang, Wenjie Wang, Jian Lou, Li Xiong
Generating Adversarial Examples With Distance Constrained Adversarial Imitation Networks. IEEE Trans. Dependable Secur. Comput. 19 (6) (2022)
Han Wang, Hanbin Hong, Li Xiong, Zhan Qin, Yuan Hong
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response. CoRR (2022)
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 (2022)
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) (2022)
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong, Xiaoqian Jiang
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels. CoRR (2022)
Mohamed F. Mokbel, Li Xiong, Demetrios Zeinalipour-Yazti
Introduction to the Special Issue on Contact Tracing. ACM Trans. Spatial Algorithms Syst. 8 (2) (2022)
Farnaz Tahmasebian, Jian Lou, Li Xiong
RobustFed: A Truth Inference Approach for Robust Federated Learning. CIKM (2022)
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)
Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. CoRR (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. WWW (2021)
Payam Karisani, Jinho D. Choi, Li Xiong
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. SMM4H@NAACL-HLT (2021)
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) (2021)
Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. ICCV (2021)
Shuaicheng Ma, Yang Cao, Li Xiong
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. ICDE Workshops (2021)
Xiaoqian Jiang, Luca Bonomi, Jaideep Vaidya, Li Xiong, Lucila Ohno-Machado
Privacy-Preserving Federated Biomedical Data Analysis. AMIA (2021)
Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR (2021)
Payam Karisani, Negin Karisani, Li Xiong
Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data. CoRR (2021)
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)
Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong
Private Stochastic Non-convex Optimization with Improved Utility Rates. IJCAI (2021)
Tsung-Ting Kuo, Tyler Bath, Shuaicheng Ma, Nicholas Pattengale, Meng Yang, Yang Cao, Corey M. Hudson, Jihoon Kim, Kai 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 (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
Learning with Hyperspherical Uniformity. AISTATS (2021)
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) (2021)
Han Xie, Jing Ma, Li Xiong, Carl Yang
Federated Graph Classification over Non-IID Graphs. CoRR (2021)
Farnaz Tahmasebian, Jian Lou, Li Xiong
RobustFed: A Truth Inference Approach for Robust Federated Learning. CoRR (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
Orthogonal Over-Parameterized Training. CVPR (2021)
Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling. CoRR (2021)
Fereshteh Razmi, Li Xiong
Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks. CoRR (2021)
Wenjie Wang, Pengfei Tang, Jian Lou, Li Xiong
Certified Robustness to Word Substitution Attack with Differential Privacy. NAACL-HLT (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Temporal Network Embedding via Tensor Factorization. CoRR (2021)
Shuaicheng Ma, Tamraparni Dasu, Yaron Kanza, Divesh Srivastava, Li Xiong
Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality. CIDR (2021)
Yanan Da, Ritesh Ahuja, Li Xiong, Cyrus Shahabi
REACT: Real-Time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking. ICDE (2021)
Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15 (4) (2021)
Xiaolan Gu, Ming Li, Li Xiong
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy. CoRR (2021)
Mani Sotoodeh, Li Xiong, Joyce Ho
CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data. PAKDD (2) (2021)
Han Xie, Jing Ma, Li Xiong, Carl Yang
Federated Graph Classification over Non-IID Graphs. NeurIPS (2021)
Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
Visually aware recommendation with aesthetic features. VLDB J. 30 (4) (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. CoRR (2021)
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) (2021)
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) (2021)
Jinfei Liu, Li Xiong, Qiuchen Zhang, Jian Pei, Jun Luo
Eclipse: Generalizing kNN and Skyline. ICDE (2021)
Shuaicheng Ma, Yang Cao, Li Xiong
Transparent Contribution Evaluation for Secure Federated Learning on Blockchain. CoRR (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schölkopf, Adrian Weller
Learning with Hyperspherical Uniformity. CoRR (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho
Temporal Network Embedding via Tensor Factorization. CIKM (2021)
Mani Sotoodeh, Li Xiong, Joyce C. Ho
CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data. CoRR (2021)
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) (2021)
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) (2021)
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Sivasubramanium Bhavani, Joyce C. Ho
Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. ICDM (2021)
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 (2021)
Payam Karisani, Jinho D. Choi, Li Xiong
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. CoRR (2021)
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) (2020)
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)
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) (2020)
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) (2020)
Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
Providing Input-Discriminative Protection for Local Differential Privacy. ICDE (2020)
Jing Ma, Qiuchen Zhang, Joyce C. Ho, Li Xiong
Spatio-Temporal Tensor Sketching via Adaptive Sampling. ECML/PKDD (1) (2020)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Li Xiong, Le Song
Orthogonal Over-Parameterized Training. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Li Xiong