Changchang Liu

57 papers A* 6A 3B 4C 1Misc 2Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs. ISSRE Tianyu Cui, Ruowei Fu, Changchang Liu, Yuhe Ji, Wenwei Gu, Shenglin Zhang, Yongqian Sun, Dan Pei
2025	A*	`conf`	Diagnosing and Prioritizing Issues in Automated Order-Taking Systems: A Machine-Assisted Error Discovery Approach. CHI Maeda F. Hanafi, Frederick Reiss, Yannis Katsis, Robert Moore, Mohammad Hassan Falakmasir, Pauline Wang, David Wood, Changchang Liu
2025	J	`jnl`	GneissWeb: Preparing High Quality Data for LLMs at Scale. CoRR Hajar Emami-Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah, Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Borse, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlaeger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee
2025	J	`jnl`	LogEval: A comprehensive benchmark suite for LLMs in log analysis. Empir. Softw. Eng. Tianyu Cui, Shiyu Ma, Ziang Chen, Tong Xiao, Chenyu Zhao, Shimin Tao, Yilun Liu, Shenglin Zhang, Duoming Lin, Changchang Liu, Yuzhe Cai, Weibin Meng, Yongqian Sun, Dan Pei
2024	J	`jnl`	LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis. CoRR 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
2024	—	`conf`	Machine-Assisted Error Discovery in Conversational AI Systems. CHI Extended Abstracts Maeda F. Hanafi, Frederick Reiss, Yannis Katsis, Robert Moore, David Wood, Mohammad Hassan Falakmasir, Changchang Liu
2023	J	`jnl`	A Hybrid Structure-Based Machine Learning Approach for Predicting Kinase Inhibition by Small Molecules. J. Chem. Inf. Model. Changchang Liu, Peter Kutchukian, Nhan D. Nguyen, Mohammed AlQuraishi, Peter K. Sorger
2023	—	`conf`	Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. ACL (1) Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun
2023	J	`jnl`	Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. CoRR Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun
2022	J	`jnl`	Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2022	J	`jnl`	Focus : Function clone identification on cross-platform. Int. J. Intell. Syst. Lirong Fu, Shouling Ji, Changchang Liu, Peiyu Liu, Fuzheng Duan, Zonghui Wang, Whenzhi Chen, Ting Wang
2022	J	`jnl`	Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris
2021	J	`jnl`	A Practical Black-Box Attack on Source Code Authorship Identification Classifiers. IEEE Trans. Inf. Forensics Secur. Qianjun Liu, Shouling Ji, Changchang Liu, Chunming Wu
2021	A*	`conf`	AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CCS Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
2021	J	`jnl`	AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy. CoRR Linkang Du, Zhikun Zhang, Shaojie Bai, Changchang Liu, Shouling Ji, Peng Cheng, Jiming Chen
2021	J	`jnl`	Communication-efficient k-Means for Edge-based Machine Learning. CoRR Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2021	J	`jnl`	Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining. IEEE Trans. Cybern. Haiqin Weng, Shouling Ji, Changchang Liu, Ting Wang, Qinming He, Jianhai Chen
2021	J	`jnl`	The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases. Nucleic Acids Res. Matthew E. Berginski, Nienke Moret, Changchang Liu, Dennis Goldfarb, Peter K. Sorger, Shawn M. Gomez
2020	J	`jnl`	AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Chengkun Wei, Shouling Ji, Changchang Liu, Wenzhi Chen, Ting Wang
2020	A	`conf`	Communication-efficient k-Means for Edge-based Machine Learning. ICDCS Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	J	`jnl`	Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients. CoRR Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
2020	—	`conf`	FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images. ACSW Jing Ke, Changchang Liu, Yizhou Lu, Naifeng Jing, Xiaoyao Liang, Fusong Jiang
2020	B	`conf`	Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	B	`conf`	NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks. ICPR Wei-Han Lee, Steve Millman, Nirmit Desai, Mudhakar Srivatsa, Changchang Liu
2020	—	`conf`	Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks. DSN (Supplements) Changchang Liu, Wei-Han Lee, Seraphin B. Calo
2020	B	`conf`	Overcoming Noisy and Irrelevant Data in Federated Learning. ICPR Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
2020	J	`jnl`	Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan
2020	A*	`conf`	Text Captcha Is Dead? A Large Scale Deployment and Empirical Study. CCS Chenghui Shi, Shouling Ji, Qianjun Liu, Changchang Liu, Yuefeng Chen, Yuan He, Zhe Liu, Raheem Beyah, Ting Wang
2019	B	`conf`	Exact Incremental and Decremental Learning for LS-SVM. ICIP Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung
2019	J	`jnl`	Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
2019	J	`jnl`	RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. Thee Chanyaswad, Changchang Liu, Prateek Mittal
2019	—	`—`	Rethinking the Science of Statistical Privacy Changchang Liu
2019	—	`conf`	Selective Detection and Segmentation of Cervical Cells. ICBBT Jing Ke, Zhaoming Jiang, Changchang Liu, Tomasz Bednarz, Arcot Sowmya, Xiaoyao Liang
2018	J	`jnl`	An empirical evaluation of high utility itemset mining algorithms. Expert Syst. Appl. Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu
2018	J	`jnl`	Blind De-anonymization Attacks using Social Networks. CoRR Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2018	—	`conf`	Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption. PADG@ESORICS Changchang Liu, Supriyo Chakraborty, Dinesh C. Verma
2017	J	`jnl`	An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst. Appl. Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis
2017	—	`conf`	Blind De-anonymization Attacks using Social Networks. WPES@CCS Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	J	`jnl`	Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release. CoRR Thee Chanyaswad, Changchang Liu, Prateek Mittal
2017	J	`jnl`	DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications. CoRR Changchang Liu, Supriyo Chakraborty, Prateek Mittal
2017	—	`conf`	How to Quantify Graph De-anonymization Risks. ICISSP (Revised Selected Papers) Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	C	`conf`	Quantification of De-anonymization Risks in Social Networks. ICISSP Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2017	J	`jnl`	Quantification of De-anonymization Risks in Social Networks. CoRR Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee
2016	J	`jnl`	A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen
2016	A*	`conf`	Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. NDSS Changchang Liu, Supriyo Chakraborty, Prateek Mittal
2016	A*	`conf`	LinkMirage: Enabling Privacy-preserving Analytics on Social Relationships. NDSS Changchang Liu, Prateek Mittal
2015	A*	`conf`	Exploiting Temporal Dynamics in Sybil Defenses. CCS Changchang Liu, Peng Gao, Matthew K. Wright, Prateek Mittal
2015	J	`jnl`	LinkMirage: How to Anonymize Links in Dynamic Social Systems. CoRR Changchang Liu, Prateek Mittal
2015	A	`conf`	PARS: A Uniform and Open-source Password Analysis and Research System. ACSAC Shouling Ji, Shukun Yang, Ting Wang, Changchang Liu, Wei-Han Lee, Raheem A. Beyah
2013	Misc	`conf`	Analyzing the FD-MIMO sparse imaging under carrier frequency offsets from the perspective of point spread function. ACSSC Li Ding, Changchang Liu, Weidong Chen
2013	J	`jnl`	Sparse Frequency Diverse MIMO Radar Imaging for Off-Grid Target Based on Adaptive Iterative MAP. Remote. Sens. Xuezhi He, Changchang Liu, Bo Liu, Dongjin Wang
2013	J	`jnl`	Sparse Self-Calibration Imaging via Iterative MAP in FM-Based Distributed Passive Radar. IEEE Geosci. Remote. Sens. Lett. Changchang Liu, Weidong Chen
2012	—	`conf`	A correction and generalization to the sparse learning via iterative minimization method for target off the grid in MIMO radar imaging. ACSCC Changchang Liu, Li Ding, Weidong Chen
2012	—	`conf`	Sparse frequency diverse MIMO radar imaging. ACSCC Changchang Liu, Weidong Chen
2012	—	`conf`	Sparse imaging for passive radar system based on digital video broadcasting satellites. WCSP Changchang Liu, Tianyun Wang, Li Ding, Weidong Chen
2012	Misc	`conf`	Sparse self-calibration by map method for MIMO radar imaging. ICASSP Changchang Liu, Jin Yan, Weidong Chen
2012	—	`conf`	Sparsity-driven high resolution FDLFM-MIMO radar imaging. WCSP Li Ding, Changchang Liu, Weidong Chen, Wenyi Zhang