Changchang Liu

According to our database, Changchang Liu authored at least 45 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Hybrid Structure-Based Machine Learning Approach for Predicting Kinase Inhibition by Small Molecules.

Changchang Liu, Peter Kutchukian, Nhan D. Nguyen, Mohammed Alquraishi, Peter K. Sorger

J. Chem. Inf. Model., September, 2023

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms.

Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Communication-Efficient $k$k-Means for Edge-Based Machine Learning.

Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

IEEE Trans. Parallel Distributed Syst., 2022

Focus : Function clone identification on cross-platform.

Lirong Fu, Shouling Ji, Changchang Liu, Peiyu Liu, Fuzheng Duan, Zonghui Wang, Whenzhi Chen, Ting Wang

Int. J. Intell. Syst., 2022

Joint Coreset Construction and Quantization for Distributed Machine Learning.

Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris

CoRR, 2022

2021

A Practical Black-Box Attack on Source Code Authorship Identification Classifiers.

Qianjun Liu, Shouling Ji, Changchang Liu, Chunming Wu

IEEE Trans. Inf. Forensics Secur., 2021

Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining.

Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen

IEEE Trans. Cybern., 2021

The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.

Matthew E. Berginski, Nienke Moret, Changchang Liu, Dennis Goldfarb, Peter K. Sorger, Shawn M. Gomez

Nucleic Acids Res., 2021

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.

Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy.

Chengkun Wei, Shouling Ji, Changchang Liu, Wenzhi Chen, Ting Wang

IEEE Trans. Inf. Forensics Secur., 2020

Sharing Models or Coresets: A Study based on Membership Inference Attack.

Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan

CoRR, 2020

Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients.

Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung

CoRR, 2020

Joint Coreset Construction and Quantization for Distributed Machine Learning.

Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

Proceedings of the 2020 IFIP Networking Conference, 2020

Overcoming Noisy and Irrelevant Data in Federated Learning.

Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung

Proceedings of the 25th International Conference on Pattern Recognition, 2020

NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks.

Wei-Han Lee, Steve Millman, Nirmit Desai, Mudhakar Srivatsa, Changchang Liu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Communication-efficient k-Means for Edge-based Machine Learning.

Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks.

Changchang Liu, Wei-Han Lee, Seraphin B. Calo

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

Text Captcha Is Dead? A Large Scale Deployment and Empirical Study.

Chenghui Shi, Shouling Ji, Qianjun Liu, Changchang Liu, Yuefeng Chen, Yuan He, Zhe Liu, Raheem Beyah, Ting Wang

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images.

Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang

Proceedings of the Australasian Computer Science Week, 2020

2019

Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing.

Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal

Proc. Priv. Enhancing Technol., 2019

RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release.

Thee Chanyaswad, Changchang Liu, Prateek Mittal

Proc. Priv. Enhancing Technol., 2019

Exact Incremental and Decremental Learning for LS-SVM.

Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Selective Detection and Segmentation of Cervical Cells.

Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang

Proceedings of the 11th International Conference on Bioinformatics and Biomedical Technology, 2019

2018

An empirical evaluation of high utility itemset mining algorithms.

Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu

Expert Syst. Appl., 2018

Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption.

Changchang Liu, Supriyo Chakraborty, Dinesh C. Verma

Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

2017

An up-to-date comparison of state-of-the-art classification algorithms.

Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis

Expert Syst. Appl., 2017

Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release.

Thee Chanyaswad, Changchang Liu, Prateek Mittal

CoRR, 2017

DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications.

Changchang Liu, Supriyo Chakraborty, Prateek Mittal

CoRR, 2017

Blind De-anonymization Attacks using Social Networks.

Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee

Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, TX, USA, October 30, 2017

How to Quantify Graph De-anonymization Risks.

Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee

Proceedings of the Information Systems Security and Privacy, 2017

Quantification of De-anonymization Risks in Social Networks.

Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee

Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

2016

A parameter-free label propagation algorithm for person identification in stereo videos.

Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen

Neurocomputing, 2016

Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples.

Changchang Liu, Supriyo Chakraborty, Prateek Mittal

Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

LinkMirage: Enabling Privacy-preserving Analytics on Social Relationships.

Changchang Liu, Prateek Mittal

Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

2015

LinkMirage: How to Anonymize Links in Dynamic Social Systems.

Changchang Liu, Prateek Mittal

CoRR, 2015

Exploiting Temporal Dynamics in Sybil Defenses.

Changchang Liu, Peng Gao, Matthew K. Wright, Prateek Mittal

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

PARS: A Uniform and Open-source Password Analysis and Research System.

Shouling Ji, Shukun Yang, Ting Wang, Changchang Liu, Wei-Han Lee, Raheem A. Beyah

Proceedings of the 31st Annual Computer Security Applications Conference, 2015

2013

Sparse Frequency Diverse MIMO Radar Imaging for Off-Grid Target Based on Adaptive Iterative MAP.

Xuezhi He, Changchang Liu, Bo Liu, Dongjin Wang

Remote. Sens., 2013

Sparse Self-Calibration Imaging via Iterative MAP in FM-Based Distributed Passive Radar.

Changchang Liu, Weidong Chen

IEEE Geosci. Remote. Sens. Lett., 2013

Analyzing the FD-MIMO sparse imaging under carrier frequency offsets from the perspective of point spread function.

Li Ding, Changchang Liu, Weidong Chen

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Sparse imaging for passive radar system based on digital video broadcasting satellites.

Changchang Liu, Tianyun Wang, Li Ding, Weidong Chen

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

Sparsity-driven high resolution FDLFM-MIMO radar imaging.

Li Ding, Changchang Liu, Weidong Chen, Wenyi Zhang

Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

Sparse self-calibration by map method for MIMO radar imaging.

Changchang Liu, Jin Yan, Weidong Chen

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A correction and generalization to the sparse learning via iterative minimization method for target off the grid in MIMO radar imaging.

Changchang Liu, Li Ding, Weidong Chen

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Sparse frequency diverse MIMO radar imaging.

Changchang Liu, Weidong Chen

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012