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ORCIDChangchang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c26]Maeda F. Hanafi
, Frederick Reiss, Yannis Katsis, Robert Moore, David Wood, Mohammad Hassan Falakmasir, Changchang Liu:
Machine-Assisted Error Discovery in Conversational AI Systems. CHI Extended Abstracts 2024: 234:1-234:10- [i12]Tianyu Cui, Shiyu Ma, Ziang Chen, Tong Xiao, Shimin Tao, Yilun Liu, Shenglin Zhang, Duoming Lin, Changchang Liu, Yuzhe Cai, Weibin Meng, Yongqian Sun, Dan Pei:
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis. CoRR abs/2407.01896 (2024) - 2023
- [j14]Changchang Liu, Peter Kutchukian, Nhan D. Nguyen, Mohammed Alquraishi, Peter K. Sorger:
A Hybrid Structure-Based Machine Learning Approach for Predicting Kinase Inhibition by Small Molecules. J. Chem. Inf. Model. 63(17): 5457-5472 (2023) - [c25]Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun:
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. ACL (1) 2023: 12149-12163 - [i11]Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun:
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. CoRR abs/2305.17221 (2023) - 2022
- [j13]Lirong Fu, Shouling Ji, Changchang Liu, Peiyu Liu, Fuzheng Duan, Zonghui Wang, Whenzhi Chen, Ting Wang:
Focus : Function clone identification on cross-platform. Int. J. Intell. Syst. 37(8): 5082-5112 (2022) - [j12]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33(10): 2509-2523 (2022) - [i10]Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR abs/2204.06652 (2022) - 2021
- [j11]Matthew E. Berginski, Nienke Moret, Changchang Liu, Dennis Goldfarb, Peter K. Sorger, Shawn M. Gomez:
The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases. Nucleic Acids Res. 49(Database-Issue): D529-D535 (2021) - [j10]Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen:
Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. IEEE Trans. Cybern. 51(10): 5198-5211 (2021) - [j9]Qianjun Liu, Shouling Ji, Changchang Liu, Chunming Wu:
A Practical Black-Box Attack on Source Code Authorship Identification Classifiers. IEEE Trans. Inf. Forensics Secur. 16: 3620-3633 (2021) - [c24]Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen:
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CCS 2021: 1266-1288 - [i9]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. CoRR abs/2102.04282 (2021) - [i8]Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen:
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CoRR abs/2110.07505 (2021) - 2020
- [j8]Chengkun Wei, Shouling Ji, Changchang Liu, Wenzhi Chen, Ting Wang:
AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 15: 3239-3254 (2020) - [c23]Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang:
FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW 2020: 34:1-34:6 - [c22]Chenghui Shi, Shouling Ji, Qianjun Liu, Changchang Liu, Yuefeng Chen, Yuan He, Zhe Liu, Raheem Beyah, Ting Wang:
Text Captcha Is Dead? A Large Scale Deployment and Empirical Study. CCS 2020: 1391-1406 - [c21]Changchang Liu, Wei-Han Lee, Seraphin B. Calo:
Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks. DSN (Supplements) 2020: 21-24 - [c20]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS 2020: 595-605 - [c19]Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung:
Overcoming Noisy and Irrelevant Data in Federated Learning. ICPR 2020: 5020-5027 - [c18]Wei-Han Lee, Steve Millman, Nirmit Desai, Mudhakar Srivatsa, Changchang Liu:
NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks. ICPR 2020: 9561-9568 - [c17]Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking 2020: 172-180 - [i7]Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung:
Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients. CoRR abs/2001.08300 (2020) - [i6]Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan:
Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR abs/2007.02977 (2020)
2010 – 2019
- 2019
- [b1]Changchang Liu:
Rethinking the Science of Statistical Privacy. Princeton University, USA, 2019 - [j7]Thee Chanyaswad, Changchang Liu, Prateek Mittal:
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. 2019(1): 26-46 (2019) - [j6]Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal:
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. 2019(3): 233-254 (2019) - [c16]Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang:
Selective Detection and Segmentation of Cervical Cells. ICBBT 2019: 55-61 - [c15]Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung:
Exact Incremental and Decremental Learning for LS-SVM. ICIP 2019: 2334-2338 - 2018
- [j5]Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu:
An empirical evaluation of high utility itemset mining algorithms. Expert Syst. Appl. 101: 91-115 (2018) - [c14]Changchang Liu, Supriyo Chakraborty, Dinesh C. Verma:
Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption. PADG@ESORICS 2018: 154-179 - [i5]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Blind De-anonymization Attacks using Social Networks. CoRR abs/1801.05534 (2018) - 2017
- [j4]Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis:
An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst. Appl. 82: 128-150 (2017) - [c13]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
How to Quantify Graph De-anonymization Risks. ICISSP (Revised Selected Papers) 2017: 84-104 - [c12]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Quantification of De-anonymization Risks in Social Networks. ICISSP 2017: 126-135 - [c11]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Blind De-anonymization Attacks using Social Networks. WPES@CCS 2017: 1-4 - [i4]Changchang Liu, Supriyo Chakraborty, Prateek Mittal:
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications. CoRR abs/1702.06159 (2017) - [i3]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Quantification of De-anonymization Risks in Social Networks. CoRR abs/1703.04873 (2017) - [i2]Thee Chanyaswad, Changchang Liu, Prateek Mittal:
Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release. CoRR abs/1709.00054 (2017) - 2016
- [j3]Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen:
A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing 218: 72-78 (2016) - [c10]Changchang Liu, Prateek Mittal:
LinkMirage: Enabling Privacy-preserving Analytics on Social Relationships. NDSS 2016 - [c9]Changchang Liu, Supriyo Chakraborty, Prateek Mittal:
Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. NDSS 2016 - 2015
- [c8]Shouling Ji, Shukun Yang, Ting Wang, Changchang Liu, Wei-Han Lee, Raheem A. Beyah:
PARS: A Uniform and Open-source Password Analysis and Research System. ACSAC 2015: 321-330 - [c7]Changchang Liu, Peng Gao, Matthew K. Wright, Prateek Mittal:
Exploiting Temporal Dynamics in Sybil Defenses. CCS 2015: 805-816 - [i1]Changchang Liu, Prateek Mittal:
LinkMirage: How to Anonymize Links in Dynamic Social Systems. CoRR abs/1501.01361 (2015) - 2013
- [j2]Changchang Liu, Weidong Chen:
Sparse Self-Calibration Imaging via Iterative MAP in FM-Based Distributed Passive Radar. IEEE Geosci. Remote. Sens. Lett. 10(3): 538-542 (2013) - [j1]Xuezhi He, Changchang Liu, Bo Liu, Dongjin Wang:
Sparse Frequency Diverse MIMO Radar Imaging for Off-Grid Target Based on Adaptive Iterative MAP. Remote. Sens. 5(2): 631-647 (2013) - [c6]Li Ding, Changchang Liu, Weidong Chen:
Analyzing the FD-MIMO sparse imaging under carrier frequency offsets from the perspective of point spread function. ACSSC 2013: 200-204 - 2012
- [c5]Changchang Liu, Weidong Chen:
Sparse frequency diverse MIMO radar imaging. ACSCC 2012: 853-857 - [c4]Changchang Liu, Li Ding, Weidong Chen:
A correction and generalization to the sparse learning via iterative minimization method for target off the grid in MIMO radar imaging. ACSCC 2012: 895-899 - [c3]Changchang Liu, Jin Yan, Weidong Chen:
Sparse self-calibration by map method for MIMO radar imaging. ICASSP 2012: 2469-2472 - [c2]Li Ding, Changchang Liu, Weidong Chen, Wenyi Zhang:
Sparsity-driven high resolution FDLFM-MIMO radar imaging. WCSP 2012: 1-5 - [c1]Changchang Liu, Tianyun Wang, Li Ding, Weidong Chen:
Sparse imaging for passive radar system based on digital video broadcasting satellites. WCSP 2012: 1-5
Coauthor Index
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last updated on 2024-08-20 22:49 CEST by the dblp team
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