Keke Chen - RankMe

117 papers A* 16A 12B 11C 3Misc 2Journal 52Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Taming Cascaded Mixture-of-Experts for Modality-missing Multi-modal Salient Object Detection. AAAI Kunpeng Wang, Feifan Sun, Keke Chen
2025	—	`conf`	Adaptive Domain Inference Attack with Concept Hierarchy. KDD (1) Yuechun Gu, Jiajie He, Keke Chen
2025	A*	`conf`	Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network. AAAI Kunpeng Wang, Keke Chen, Chenglong Li, Zhengzheng Tu, Bin Luo
2025	A*	`conf`	Auditing Approximate Machine Unlearning for Differentially Private Models. ICDM Yuechun Gu, Jiajie He, Keke Chen
2025	J	`jnl`	Auditing Approximate Machine Unlearning for Differentially Private Models. CoRR Yuechun Gu, Jiajie He, Keke Chen
2025	—	`conf`	CAFNet: A Cross-Modal Alignment and Fusion Framework for Misaligned RGB-T Video Object Detection. PRCV (17) Yu Fan, Keke Chen
2025	J	`jnl`	Coarse-Fine Nested Network for Weakly Supervised Group Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. Xiaojing Ge, Rui Yan, Xiangbo Shu, Keke Chen, Wei Tian, Guo-Sen Xie
2025	J	`jnl`	Membership Inference Attacks on LLM-based Recommender Systems. CoRR Jiajie He, Yuechun Gu, Min-Chun Chen, Keke Chen
2025	J	`jnl`	Membership Inference Attacks on Recommender System: A Survey. CoRR Jiajie He, Yuechun Gu, Keke Chen, Xintong Chen
2025	A	`conf`	RecPS: Privacy Risk Scoring for Recommender Systems. RecSys Jiajie He, Yuechun Gu, Keke Chen
2025	J	`jnl`	RecPS: Privacy Risk Scoring for Recommender Systems. CoRR Jiajie He, Yuechun Gu, Keke Chen
2025	J	`jnl`	TEE-MR: Developer-friendly data oblivious programming for trusted execution environments. Comput. Secur. A. K. M. Mubashwir Alam, Keke Chen
2024	J	`jnl`	A novel image encryption algorithm based on coupled map lattices model. Multim. Tools Appl. Sujuan Fan, Keke Chen, Junfeng Tian
2024	J	`jnl`	Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network. CoRR Kunpeng Wang, Keke Chen, Chenglong Li, Zhengzheng Tu, Bin Luo
2024	B	`conf`	Calibrating Practical Privacy Risks for Differentially Private Machine Learning. IEEE Big Data Yuechun Gu, Keke Chen
2024	J	`jnl`	Calibrating Practical Privacy Risks for Differentially Private Machine Learning. CoRR Yuechun Gu, Keke Chen
2024	A*	`conf`	Demo: FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation. CCS Yuechun Gu, Jiajie He, Keke Chen
2024	J	`jnl`	FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation. CoRR Yuechun Gu, Jiajie He, Keke Chen
2024	C	`conf`	KeyAtNet: Keystroke Signal Real-time Eavesdropping Based on Fourier Neural Operator. ISNN Seng-Hong Lee, Zixun Yu, Keke Chen, Xiao Li
2024	—	`conf`	Leveraging Multimodal Knowledge for Spatio-Temporal Action Localization. ICME Workshops Keke Chen, Zhewei Tu, Xiangbo Shu
2024	J	`jnl`	TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis. Frontiers Big Data A. K. M. Mubashwir Alam, Keke Chen
2024	J	`jnl`	Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study. CoRR Mrinal Kanti Dhar, Chuanbo Wang, Yash Patel, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Keke Chen, Zeyun Yu
2023	J	`jnl`	A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning. CoRR Sagar Sharma, Yuechun Gu, Keke Chen
2023	J	`jnl`	Adaptive Domain Inference Attack. CoRR Yuechun Gu, Keke Chen
2023	J	`jnl`	Confidential High-Performance Computing in the Public Cloud. IEEE Internet Comput. Keke Chen
2023	A*	`conf`	Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning. CCS Yuechun Gu, Sagar Sharma, Keke Chen
2023	A	`conf`	Demo: SGX-MR-Prot: Efficient and Developer-Friendly Access-Pattern Protection in Trusted Execution Environments. ICDCS A. K. M. Mubashwir Alam, Justin Boyce, Keke Chen
2023	J	`jnl`	DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds. ACM Trans. Internet Techn. Keke Chen, Yuechun Gu, Sagar Sharma
2023	A*	`conf`	Foreground/Background-Masked Interaction Learning for Spatio-temporal Action Detection. ACM Multimedia Keke Chen, Xiangbo Shu, Guo-Sen Xie, Rui Yan, Jinhui Tang
2023	A*	`conf`	GAN-Based Domain Inference Attack. AAAI Yuechun Gu, Keke Chen
2023	J	`jnl`	Learning Disentangled Features for Person Re-identification under Clothes Changing. ACM Trans. Multim. Comput. Commun. Appl. Patrick P. K. Chan, Xiaoman Hu, Haorui Song, Peng Peng, Keke Chen
2023	B	`conf`	Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing. CLOUD A. K. M. Mubashwir Alam, Keke Chen
2023	J	`jnl`	Making Your Program Oblivious: a Comparative Study for Side-channel-safe Confidential Computing. CoRR A. K. M. Mubashwir Alam, Keke Chen
2023	J	`jnl`	SGX-MR-Prot: Efficient and Developer-Friendly Access-Pattern Protection in Trusted Execution Environments. CoRR A. K. M. Mubashwir Alam, Justin Boyce, Keke Chen
2023	—	`conf`	Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. MICCAI (6) Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen
2022	J	`jnl`	Confidential High-Performance Computing in the Public Cloud. CoRR Keke Chen
2022	J	`jnl`	GAN-based Domain Inference Attack. CoRR Yuechun Gu, Keke Chen
2021	B	`conf`	Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. IJCNN Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung
2021	J	`jnl`	Confidential machine learning on untrusted platforms: a survey. Cybersecur. Sagar Sharma, Keke Chen
2021	J	`jnl`	Design and implementation of a virtual ARINC 653 simulation platform. Simul. Jinchao Chen, Keke Chen, Chenglie Du, Yifan Liu
2021	B	`conf`	Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning. CLOUD Sagar Sharma, A. K. M. Mubashwir Alam, Keke Chen
2021	J	`jnl`	SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. Proc. Priv. Enhancing Technol. A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen
2021	—	`conf`	Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis. IEEE BigData Prem Bhusal, A. K. M. Mubashwir Alam, Keke Chen, Ning Jiang, Jun Xiao
2021	—	`conf`	Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. ICANN (3) Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung
2020	J	`jnl`	Confidential Machine Learning on Untrusted Platforms: A Survey. CoRR Sagar Sharma, Keke Chen
2020	J	`jnl`	SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. CoRR A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen
2019	B	`ed.`	Big Data - BigData 2019 - 8th International Congress, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019, Proceedings BigData Keke Chen, Sangeetha Seshadri, Liang-Jie Zhang
2019	—	`conf`	Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data. ESORICS (1) Sagar Sharma, Keke Chen
2019	J	`jnl`	Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning. CoRR Sagar Sharma, Keke Chen
2019	A	`conf`	Knowledge Graph Enhanced Community Detection and Characterization. WSDM Shreyansh P. Bhatt, Swati Padhee, Amit P. Sheth, Keke Chen, Valerie L. Shalin, Derek Doran, Brandon S. Minnery
2019	—	`conf`	Multi-region Coverage Path Planning for Heterogeneous Unmanned Aerial Vehicles Systems. SOSE Jinchao Chen, Chenglie Du, Xu Lu, Keke Chen
2019	J	`jnl`	PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud. IEEE Trans. Knowl. Data Eng. Sagar Sharma, James Powers, Keke Chen
2019	J	`jnl`	Shilling attack based on item popularity and rated item correlation against collaborative filtering. Int. J. Mach. Learn. Cybern. Keke Chen, Patrick P. K. Chan, Fei Zhang, Qiaoqiao Li
2019	A	`conf`	Who Should Be the Captain This Week?Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction. ICWSM Shreyansh P. Bhatt, Keke Chen, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery
2018	A*	`conf`	Image Disguising for Privacy-preserving Deep Learning. CCS Sagar Sharma, Keke Chen
2018	J	`jnl`	Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data. CoRR Sagar Sharma, Keke Chen
2018	A*	`conf`	Privacy-Preserving Boosting with Random Linear Classifiers. CCS Sagar Sharma, Keke Chen
2018	J	`jnl`	RASP-Boost: Confidential Boosting-Model Learning with Perturbed Data in the Cloud. IEEE Trans. Cloud Comput. Keke Chen, Shumin Guo
2018	J	`jnl`	SPIN: cleaning, monitoring, and querying image streams generated by ground-based telescopes for space situational awareness. Int. J. Data Sci. Anal. Keke Chen, Bharath Avusherla, Sarah Allison, Vincent Schmidt
2018	B	`conf`	Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
2018	J	`jnl`	Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems. IEEE Internet Comput. Sagar Sharma, Keke Chen, Amit P. Sheth
2018	J	`jnl`	Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. CoRR Sagar Sharma, Keke Chen, Amit P. Sheth
2018	Misc	`conf`	Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
2017	B	`conf`	Adaptive training instance selection for cross-domain emotion identification. WI Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit P. Sheth
2017	A	`conf`	PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. ICDCS Sagar Sharma, Keke Chen
2016	—	`conf`	COLT: COnstrained Lineage Tree Generation from sequence data. BIBM Keke Chen, Venkata Sai Abhishek Gogu, Di Wu, Jiang Ning
2016	C	`conf`	DynaEgo: Privacy-Preserving Collaborative Filtering Recommender System Based on Social-Aware Differential Privacy. ICICS Shen Yan, Shiran Pan, Wen Tao Zhu, Keke Chen
2016	A	`conf`	Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. AsiaCCS Sagar Sharma, James Powers, Keke Chen
2016	A*	`conf`	Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. WWW Lu Zhou, Wenbo Wang, Keke Chen
2015	—	`conf`	Identifying Regrettable Messages from Tweets. WWW (Companion Volume) Lu Zhou, Wenbo Wang, Keke Chen
2015	B	`conf`	Scalable Euclidean Embedding for Big Data. CLOUD Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen
2014	J	`jnl`	Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation. IEEE Trans. Knowl. Data Eng. Huiqi Xu, Shumin Guo, Keke Chen
2014	J	`jnl`	CRESP: Towards Optimal Resource Provisioning for MapReduce Computing in Public Clouds. IEEE Trans. Parallel Distributed Syst. Keke Chen, James Powers, Shumin Guo, Fengguang Tian
2014	J	`jnl`	Optimizing star-coordinate visualization models for effective interactive cluster exploration on big data. Intell. Data Anal. Keke Chen
2014	J	`jnl`	RASP-QS: Efficient and Confidential Query Services in the Cloud. Proc. VLDB Endow. Zohreh Alavi, Lu Zhou, James Powers, Keke Chen
2014	—	`ch.`	Toward Optimal Resource Provisioning for Economical and Green MapReduce Computing in the Cloud. Large Scale and Big Data Keke Chen, Shumin Guo, James Powers, Fengguang Tian
2013	A*	`conf`	PerturBoost: Practical Confidential Classifier Learning in the Cloud. ICDM Keke Chen, Shumin Guo
2013	—	`conf`	Secure Computation of Top-K Eigenvectors for Shared Matrices in the Cloud. IEEE CLOUD James Powers, Keke Chen
2012	J	`jnl`	Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation CoRR Huiqi Xu, Shumin Guo, Keke Chen
2012	J	`jnl`	CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud. Proc. VLDB Endow. Huiqi Xu, Zhen Li, Shumin Guo, Keke Chen
2012	—	`conf`	Mining Privacy Settings to Find Optimal Privacy-Utility Tradeoffs for Social Network Services. SocialCom/PASSAT Shumin Guo, Keke Chen
2012	A*	`conf`	Privacy preserving boosting in the cloud with secure half-space queries. CCS Shumin Guo, Keke Chen
2012	J	`jnl`	Secure MapReduce Power Iteration in the Cloud CoRR James Powers, Keke Chen
2011	B	`conf`	CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud. SSDBM Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo
2011	—	`conf`	Flying under the radar: maintaining control of kernel without changing kernel code or persistent data structures. CSIIRW Jinpeng Wei, Calton Pu, Keke Chen
2011	J	`jnl`	Geometric data perturbation for privacy preserving outsourced data mining. Knowl. Inf. Syst. Keke Chen, Ling Liu
2011	J	`jnl`	On Security of the Utility Preserving RASP Encryption. IACR Cryptol. ePrint Arch. Keke Chen
2011	—	`conf`	RASP: efficient multidimensional range query on attack-resilient encrypted databases. CODASPY Keke Chen, Ramakanth Kavuluru, Shumin Guo
2011	J	`jnl`	Ranking function adaptation with boosting trees. ACM Trans. Inf. Syst. Keke Chen, Jing Bai, Zhaohui Zheng
2011	—	`conf`	Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds. IEEE CLOUD Fengguang Tian, Keke Chen
2010	—	`conf`	Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. COLING (Posters) Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen
2010	J	`jnl`	SCALE: a scalable framework for efficiently clustering transactional data. Data Min. Knowl. Discov. Hua Yan, Keke Chen, Ling Liu, Zhang Yi
2009	J	`jnl`	"Best K": critical clustering structures in categorical datasets. Knowl. Inf. Syst. Keke Chen, Ling Liu
2009	J	`jnl`	Determining the best K. Data Knowl. Eng. Hua Yan, Keke Chen, Ling Liu, Joonsoo Bae
2009	J	`jnl`	HE-Tree: a framework for detecting changes in clustering structure for categorical data streams. VLDB J. Keke Chen, Ling Liu
2009	A	`conf`	On domain similarity and effectiveness of adapting-to-rank. CIKM Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
2009	J	`jnl`	Privacy-Preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Trans. Parallel Distributed Syst. Keke Chen, Ling Liu
2009	C	`conf`	VisGBT: Visually analyzing evolving datasets for adaptive learning. CollaborateCom Keke Chen, Fengguang Tian
2008	—	`ch.`	A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining. Privacy-Preserving Data Mining Keke Chen, Ling Liu
2008	—	`conf`	Adapting ranking functions to user preference. ICDE Workshops Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun
2008	A	`conf`	Trada: tree based ranking function adaptation. CIKM Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, Larry P. Heck, Belle L. Tseng
2007	—	`conf`	A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun
2007	A*	`conf`	A regression framework for learning ranking functions using relative relevance judgments. SIGIR Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
2007	J	`jnl`	Model Formulation: A Document Clustering and Ranking System for Exploring MEDLINE Citations. J. Am. Medical Informatics Assoc. Yongjing Lin, Wenyuan Li, Keke Chen, Ying Liu
2007	A*	`conf`	Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation. PODC Keke Chen, Ling Liu
2007	A	`conf`	Towards Attack-Resilient Geometric Data Perturbation. SDM Keke Chen, Gordon Sun, Ling Liu
2006	A	`conf`	Detecting the Change of Clustering Structure in Categorical Data Streams. SDM Keke Chen, Ling Liu
2006	A	`conf`	Efficiently clustering transactional data with weighted coverage density. CIKM Hua Yan, Keke Chen, Ling Liu
2006	—	`—`	Geometric Methods for Mining Large and Possibly Private Datasets. Keke Chen
2006	J	`jnl`	iVIBRATE: Interactive visualization-based framework for clustering large datasets. ACM Trans. Inf. Syst. Keke Chen, Ling Liu
2005	A*	`conf`	Privacy Preserving Data Classification with Rotation Perturbation. ICDM Keke Chen, Ling Liu
2005	B	`conf`	The "Best K" for Entropy-based Categorical Data Clustering. SSDBM Keke Chen, Ling Liu
2004	A	`conf`	ClusterMap: labeling clusters in large datasets via visualization. CIKM Keke Chen, Ling Liu
2004	J	`jnl`	VISTA: validating and refining clusters via visualization. Inf. Vis. Keke Chen, Ling Liu
2003	B	`conf`	A Visual Framework Invites Human into the Clustering Process. SSDBM Keke Chen, Ling Liu
2003	Misc	`conf`	Cluster Rendering of Skewed Datasets via Visualization. SAC Keke Chen, Ling Liu
2003	A*	`conf`	Validating and Refining Clusters via Visual Rendering. ICDM Keke Chen, Ling Liu