Haibo Hu - RankMe

267 papers A* 48A 10B 12C 1Misc 2Journal 170Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel data-driven health status assessment model based on multiple criteria appraisal recommendation with three-parameter interval grey number. Reliab. Eng. Syst. Saf. Long-Hao Yang, Bei-Ya Qian, Fei-Fei Ye, Xiao-Hong Pan, Haibo Hu, Haitian Lu
2026	—	`conf`	Adversarial Signed Graph Learning with Differential Privacy. KDD (1) Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu
2026	J	`jnl`	Answering Range Queries for Arbitrary Distribution Under Shuffled Differential Privacy. IEEE Trans. Knowl. Data Eng. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2026	J	`jnl`	Belief rule-based system with two-stage optimization approach for handling class-imbalance problems. Knowl. Inf. Syst. Long-Hao Yang, Dan-Ning Yu, Fei-Fei Ye, Haibo Hu, Haitian Lu
2026	J	`jnl`	COLE CoRR Ce Zhang, Cheng Xu, Haibo Hu, Jianliang Xu
2026	A*	`conf`	Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks. AAAI Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2026	—	`conf`	Communication-efficient Federated Graph Classification via Generative Diffusion Modeling. KDD (1) Xiuling Wang, Xin Huang, Haibo Hu, Jianliang Xu
2026	J	`jnl`	Communication-efficient Federated Graph Classification via Generative Diffusion Modeling. CoRR Xiuling Wang, Xin Huang, Haibo Hu, Jianliang Xu
2026	A*	`conf`	DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks. AAAI Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu
2026	—	`ed.`	Data Security and Privacy Protection - Third International Conference, DSPP 2025, Xi'an, China, October 16-18, 2025, Proceedings, Part I DSPP (1) Xiaofeng Chen, Haibo Hu, Ding Wang
2026	—	`ed.`	Data Security and Privacy Protection - Third International Conference, DSPP 2025, Xi'an, China, October 16-18, 2025, Proceedings, Part II DSPP (2) Xiaofeng Chen, Haibo Hu, Ding Wang
2026	A*	`conf`	Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs. WWW Zhiyao Wu, Zi Liang, Haibo Hu
2026	J	`jnl`	Diffusion-Guided Backdoor Attacks in Real-World Reinforcement Learning. CoRR Tairan Huang, Qingqing Ye, Yulin Jin, Jiawei Lian, Yi Wang, Haibo Hu
2026	J	`jnl`	FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning. CoRR Xiaoyu Xu, Minxin Du, Kun Fang, Zi Liang, Yaxin Xiao, Zhicong Huang, Cheng Hong, Qingqing Ye, Haibo Hu
2026	J	`jnl`	FastPSC: A Fast and Maliciously Secure Set Computation Service for Multi-Owner Set Data. IEEE Trans. Serv. Comput. Songlei Wang, Yifeng Zheng, Zhongyun Hua, Xiaohua Jia, Haibo Hu
2026	J	`jnl`	From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning. CoRR Xiaoyu Xu, Minxin Du, Zitong Li, Zi Liang, Zhibiao Guo, Shiyu Zhang, Peizhao Hu, Qingqing Ye, Haibo Hu
2026	A*	`conf`	How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency. WWW Weizheng Wang, Qipeng Xie, Shiyu Wang, Qingqing Ye, Kaishun Wu, Haibo Hu
2026	A*	`conf`	How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework. AAAI Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2026	J	`jnl`	Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions. Trans. Mach. Learn. Res. Lixu Wang, Yinggang Sun, Yang Zhao, JiaQi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Haining Yu, Haibo Hu, Wei Dong
2026	J	`jnl`	LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models. CoRR Mengyu Sun, Ziyuan Yang, Andrew Beng Jin Teoh, Junxu Liu, Haibo Hu, Yi Zhang
2026	J	`jnl`	LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data. IEEE Trans. Dependable Secur. Comput. Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi
2026	J	`jnl`	Machine Unlearning in Low-Dimensional Feature Subspace. CoRR Kun Fang, Qinghua Tao, Junxu Liu, Yaxin Xiao, Qingqing Ye, Jian Sun, Haibo Hu
2026	J	`jnl`	On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression. CoRR Xinwei Zhang, Hangcheng Liu, Li Bai, Hao Wang, Qingqing Ye, Tianwei Zhang, Haibo Hu
2026	J	`jnl`	RATR: Optimized Trajectory Release With Temporal Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. Shiyu Zhang, Qingqing Ye, Junxu Liu, Kai Huang, Yulian Mao, Xinyue Sun, Wei Dong, Haibo Hu
2026	J	`jnl`	SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten. IEEE Trans. Knowl. Data Eng. Zitong Li, Qingqing Ye, Haibo Hu, Xin Huang, Junxu Liu, Xiaofeng Meng
2026	A*	`conf`	Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability. AAAI Yulin Jin, Xiaoyu Zhang, Haoyu Tong, Jian Lou, Kai Wu, Haibo Hu, Xiaofeng Chen
2026	J	`jnl`	Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models. CoRR Xinwei Zhang, Li Bai, Tianwei Zhang, Youqian Zhang, Qingqing Ye, Yingnan Zhao, Ruochen Du, Haibo Hu
2026	J	`jnl`	United We Defend: Collaborative Membership Inference Defenses in Federated Learning. CoRR Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu
2025	—	`conf`	"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation. ACL (1) Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu
2025	J	`jnl`	$\eta$η-Inference: A Data-Aware and High-Utility Privacy Model for Relational Data Publishing. IEEE Trans. Dependable Secur. Comput. Zhenyu Chen, Lin Yao, Haibo Hu, Guowei Wu
2025	J	`jnl`	A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis. IEEE Trans. Syst. Man Cybern. Syst. Long-Hao Yang, Dan-Ning Yu, Fei-Fei Ye, Haibo Hu, Qingqing Ye
2025	A*	`conf`	A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. AAAI Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
2025	J	`jnl`	A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. CoRR Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu
2025	J	`jnl`	A Survey on Securing Image-Centric Edge Intelligence. ACM Trans. Multim. Comput. Commun. Appl. Li Tang, Haibo Hu, Moncef Gabbouj, Qingqing Ye, Yang Xiang, Jin Li, Lang Li
2025	A*	`conf`	AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model. ICDE Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
2025	J	`jnl`	AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model. CoRR Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu
2025	J	`jnl`	Adversarial Signed Graph Learning with Differential Privacy. CoRR Haobin Ke, Sen Zhang, Qingqing Ye, Xun Ran, Haibo Hu
2025	J	`jnl`	Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning. IEEE Trans. Knowl. Data Eng. Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
2025	A*	`conf`	Analyzing and Optimizing Perturbation of DP-SGD Geometrically. ICDE Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
2025	J	`jnl`	Auditing MLaaS Inference Service Quality Without Ground Truth via Mutual Information. IEEE Trans. Inf. Forensics Secur. Jiang Zhu, Qingqing Ye, Haibo Hu, Li Bai
2025	—	`conf`	Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need. SIGMOD Conference Companion Haixin Wang, Cheng Xu, Ce Zhang, Haibo Hu, Shikun Tian, Shenglong Chen, Ying Yan, Jianliang Xu
2025	J	`jnl`	Benchmarking Relaxed Differential Privacy in Private Learning: A Comparative Survey. ACM Comput. Surv. Zhaolong Zheng, Lin Yao, Haibo Hu, Guowei Wu
2025	J	`jnl`	Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks. CoRR Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2025	J	`jnl`	Classification and Time-Frequency Localization of Arbitrary LPWAN Signals With Radial Deformable DETR. IEEE Access Chun Ho Kong, Haibo Hu
2025	J	`jnl`	Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy. ACM Trans. Sens. Networks Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2025	J	`jnl`	DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features. IEEE Trans. Inf. Forensics Secur. Xinyue Sun, Xiaoyu Liu, Qingqing Ye, Haibo Hu, Renyu Yang, Hui He, Weizhe Zhang
2025	A*	`conf`	Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. ICDE Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary. CoRR Zi Liang, Zhiyao Wu, Haoyang Shang, Yulin Jin, Qingqing Ye, Huadi Zheng, Peizhao Hu, Haibo Hu
2025	A*	`conf`	Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? ICML Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li
2025	J	`jnl`	Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? CoRR Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li
2025	Misc	`conf`	Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network. ICASSP Zheyu Chen, Jinfeng Xu, Haibo Hu
2025	A*	`conf`	Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy. ICDE Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
2025	J	`jnl`	Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy. CoRR Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu
2025	A*	`conf`	Exploring Intrinsic Alignments Within Text Corpus. AAAI Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui
2025	A*	`conf`	FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. WWW Zitong Li, Qingqing Ye, Haibo Hu
2025	J	`jnl`	FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. CoRR Zitong Li, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Federated Heavy Hitter Analytics with Local Differential Privacy. Proc. ACM Manag. Data Yuemin Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. CoRR Jiale Zhang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Qingming Li, Haibo Hu, Xiapu Luo, Qingqing Ye, Shouling Ji
2025	A*	`conf`	From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. SP Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025	J	`jnl`	From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. CoRR Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu
2025	J	`jnl`	GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation. IEEE Trans. Knowl. Data Eng. Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Hui He, Weizhe Zhang
2025	J	`jnl`	How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework. CoRR Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2025	A	`conf`	Hypercomplex Prompt-aware Multimodal Recommendation. CIKM Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu
2025	J	`jnl`	Hypercomplex Prompt-aware Multimodal Recommendation. CoRR Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu
2025	J	`jnl`	Introduction to the Special Issue on AI Empowered Edge Computing for Multimedia Applications. ACM Trans. Multim. Comput. Commun. Appl. Moncef Gabbouj, Jin Li, Haibo Hu, Yang Xiang
2025	J	`jnl`	Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations. CoRR Kun Fang, Qinghua Tao, Mingzhen He, Kexin Lv, Runze Yang, Haibo Hu, Xiaolin Huang, Jie Yang, Longbing Cao
2025	A*	`conf`	MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective. WWW Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025	J	`jnl`	MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective. CoRR Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng
2025	J	`jnl`	Membership Inference Attacks and Defenses in Federated Learning: A Survey. ACM Comput. Surv. Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
2025	A*	`conf`	Multi-Class Item Mining Under Local Differential Privacy. ICDE Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
2025	J	`jnl`	Multi-class Item Mining under Local Differential Privacy. CoRR Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu
2025	J	`jnl`	Multi-hop sanitizable signature for collaborative edge computing. J. Comput. Secur. Haotian Yan, Haibo Hu, Qingqing Ye, Jianliang Xu
2025	A*	`conf`	OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. EMNLP Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu
2025	J	`jnl`	OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. CoRR Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Points of the local optimal privacy utility tradeoff. Comput. Secur. Zhenyu Chen, Lin Yao, Haibo Hu, Guowei Wu
2025	J	`jnl`	PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs. Proc. VLDB Endow. Songlei Wang, Yifeng Zheng, Xiaohua Jia, Haibo Hu
2025	—	`conf`	PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. KDD (1) Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025	J	`jnl`	PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. CoRR Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025	A*	`conf`	PrivIM: Differentially Private Graph Neural Networks for Influence Maximization. ICDE Renxuan Hou, Qingqing Ye, Xun Ran, Sen Zhang, Haibo Hu
2025	J	`jnl`	Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services. CoRR Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2025	J	`jnl`	Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services. Proc. VLDB Endow. Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2025	C	`conf`	Privacy-Preserving LLM Agent for Multi-modal Health Monitoring. ProvSec Qipeng Xie, Jiafei Wu, Weiyu Wang, Zhuotao Lian, Mu Yuan, Xian Shuai, Weizheng Wang, Yuan Haoyi, Haibo Hu, Kaishun Wu
2025	J	`jnl`	ProVFL: Property Inference Attacks Against Vertical Federated Learning. IEEE Trans. Inf. Forensics Secur. Li Bai, Xinwei Zhang, Sen Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	RMR: A Relative Membership Risk Measure for Machine Learning Models. IEEE Trans. Dependable Secur. Comput. Li Bai, Haibo Hu, Qingqing Ye, Jianliang Xu, Jin Li, Chengfang Fang, Jie Shi
2025	J	`jnl`	Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy. CoRR Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao
2025	J	`jnl`	SARAs: Substitution and Replay Attacks in the Maintenance Mode of Encrypted Databases. IEEE Trans. Dependable Secur. Comput. Sen Zhao, Haibo Hu, Zheli Liu, Xiaofeng Chen
2025	J	`jnl`	SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning. CoRR Tairan Huang, Yulin Jin, Junxu Liu, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Secure bi-attribute index: Batch membership tests over the non-sensitive attribute. Comput. Secur. Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2025	J	`jnl`	StatEval: A Comprehensive Benchmark for Large Language Models in Statistics. CoRR Yuchen Lu, Run Yang, Yichen Zhang, Shuguang Yu, Runpeng Dai, Ziwei Wang, Jiayi Xiang, Wenxin E, Siran Gao, Xinyao Ruan, Yirui Huang, Chenjing Xi, Haibo Hu, Yueming Fu, Qinglan Yu, Xiaobing Wei, Jiani Gu, Rui Sun, Jiaxuan Jia, Fan Zhou
2025	A*	`conf`	Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy. ICDE Sen Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Structure-Preference Enabled Graph Embedding Generation under Differential Privacy. CoRR Sen Zhang, Qingqing Ye, Haibo Hu
2025	J	`jnl`	Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically. CoRR Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun
2025	J	`jnl`	Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach. IEEE Trans. Dependable Secur. Comput. Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Kai Huang
2025	J	`jnl`	Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts. CoRR Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu
2025	J	`jnl`	United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory. CoRR Haoyang Shang, Xuan Liu, Zi Liang, Jie Zhang, Haibo Hu, Song Guo
2025	J	`jnl`	Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs. CoRR Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du
2025	J	`jnl`	Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction. IEEE Trans. Dependable Secur. Comput. Yaxin Xiao, Haibo Hu, Qingqing Ye, Li Tang, Zi Liang, Huadi Zheng
2025	J	`jnl`	VAE-Based Membership Cleanser Against Membership Inference Attacks. IEEE Trans. Dependable Secur. Comput. Li Hu, Hongyang Yan, Yun Peng, Haibo Hu, Shaowei Wang, Jin Li
2025	J	`jnl`	Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data. CoRR Zi Liang, Qingqing Ye, Xiang-Yang Alex Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
2025	J	`jnl`	WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching. CoRR Ronghua Li, Shinan Liu, Haibo Hu, Qingqing Ye, Nick Feamster
2024	J	`jnl`	A Utility-Aware Anonymization Model for Multiple Sensitive Attributes Based on Association Concealment. IEEE Trans. Dependable Secur. Comput. Lin Yao, Xue Wang, Haibo Hu, Guowei Wu
2024	J	`jnl`	Alignment-Aware Model Extraction Attacks on Large Language Models. CoRR Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu
2024	J	`jnl`	Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning. IEEE Trans. Inf. Forensics Secur. Jianping Cai, Qingqing Ye, Haibo Hu, Ximeng Liu, Yanggeng Fu
2024	A	`conf`	COLE: A Column-based Learned Storage for Blockchain Systems. FAST Ce Zhang, Cheng Xu, Haibo Hu, Jianliang Xu
2024	J	`jnl`	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. Proc. VLDB Endow. Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2024	J	`jnl`	Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. CoRR Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2024	J	`jnl`	DeepMark: A Scalable and Robust Framework for DeepFake Video Detection. ACM Trans. Priv. Secur. Li Tang, Qingqing Ye, Haibo Hu, Qiao Xue, Yaxin Xiao, Jin Li
2024	J	`jnl`	Differential Privacy for Time Series: A Survey. IEEE Data Eng. Bull. Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
2024	A*	`conf`	Differentially Private Graph Neural Networks for Link Prediction. ICDE Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
2024	J	`jnl`	Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network. CoRR Zheyu Chen, Jinfeng Xu, Haibo Hu
2024	J	`jnl`	EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model. IEEE Trans. Knowl. Data Eng. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024	J	`jnl`	Enterprise performance online evaluation based on extended belief rule-base model. Expert Syst. Appl. Fei-Fei Ye, Long-Hao Yang, Haitian Lu, Haibo Hu, Ying-Ming Wang
2024	A*	`conf`	FRESH: Towards Efficient Graph Queries in an Outsourced Graph. ICDE Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou
2024	J	`jnl`	Federated Heavy Hitter Analytics with Local Differential Privacy. CoRR Yuemin Zhang, Qingqing Ye, Haibo Hu
2024	J	`jnl`	Generating Location Traces With Semantic- Constrained Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Weizhe Zhang, Jie Xu
2024	A*	`conf`	Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. ICDE Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024	J	`jnl`	Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. CoRR Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2024	—	`conf`	LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. DASFAA (4) Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang
2024	J	`jnl`	LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols. IEEE Trans. Knowl. Data Eng. Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou
2024	A*	`conf`	LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy. ICDE Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024	J	`jnl`	LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy. CoRR Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang
2024	J	`jnl`	LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun
2024	J	`jnl`	MTL-Leak: Privacy Risk Assessment in Multi-Task Learning. IEEE Trans. Dependable Secur. Comput. Hongyang Yan, Anli Yan, Li Hu, Jiaming Liang, Haibo Hu
2024	J	`jnl`	Membership Inference Attacks and Defenses in Federated Learning: A Survey. CoRR Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu
2024	J	`jnl`	New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes. CoRR Yanyun Wang, Li Liu, Zi Liang, Qingqing Ye, Haibo Hu
2024	J	`jnl`	PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization. IEEE Trans. Knowl. Data Eng. Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu
2024	J	`jnl`	PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy. CoRR Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024	J	`jnl`	PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy. Proc. VLDB Endow. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng
2024	A*	`conf`	PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy. ICDE Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024	J	`jnl`	PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy. CoRR Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang
2024	J	`jnl`	RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices. IEEE Trans. Inf. Forensics Secur. Ronghua Li, Haibo Hu, Qingqing Ye
2024	J	`jnl`	TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou
2024	A	`conf`	TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack. ECAI Yanyun Wang, Dehui Du, Haibo Hu, Zi Liang, Yuanhao Liu
2024	J	`jnl`	The Design of a Non-Contact Inspection System Integrated With the Time of Flight-Based Flaw Detection (TOFFD) Criterion to Investigate the Structural Integrity of the Rail Track. IEEE Trans. Instrum. Meas. Imran Ghafoor, Peter W. Tse, Tom Tak-Lam Chan, Haibo Hu
2024	—	`conf`	Time-Specific Integrity Service in MQTT Protocol. IPSN Haotian Yan, Haibo Hu, Qingqing Ye
2024	J	`jnl`	Utility-Aware Time Series Data Release With Anomalies Under TLDP. IEEE Trans. Mob. Comput. Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu
2024	A*	`conf`	V2FS : A Verifiable Virtual Filesystem for Multi-Chain Query Authentication. ICDE Haixin Wang, Cheng Xu, Xiaojie Chen, Ce Zhang, Haibo Hu, Shikun Tian, Ying Yan, Jianliang Xu
2024	J	`jnl`	Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models. CoRR Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li
2024	J	`jnl`	zkChain: A privacy-preserving model based on zk-SNARKs and hash chain for efficient transfer of assets. Trans. Emerg. Telecommun. Technol. Jiahui Huang, Teng Huang, Huanchun Wei, Jiehua Zhang, Hongyang Yan, Duncan S. Wong, Haibo Hu
2023	A*	`conf`	3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. SP Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
2023	J	`jnl`	Adaptive Video Streaming With Automatic Quality-of-Experience Optimization. IEEE Trans. Mob. Comput. Guanghui Zhang, Jie Zhang, Yan Liu, Haibo Hu, Jack Y. B. Lee, Vaneet Aggarwal
2023	B	`conf`	CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. IEEE Big Data Haozhe Tian, Haibo Hu, Qingqing Ye
2023	J	`jnl`	COLE: A Column-based Learned Storage for Blockchain Systems. CoRR Ce Zhang, Cheng Xu, Haibo Hu, Jianliang Xu
2023	J	`jnl`	Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. Qiuyu Qian, Qingqing Ye, Haibo Hu, Kai Huang, Tom Tak-Lam Chan, Jin Li
2023	J	`jnl`	DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Qiao Xue, Qingqing Ye, Haibo Hu, Youwen Zhu, Jian Wang
2023	J	`jnl`	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. CoRR Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2023	J	`jnl`	DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming. IEEE Trans. Serv. Comput. Guanghui Zhang, Jie Zhang, Ke Liu, Jing Guo, Jack Y. B. Lee, Haibo Hu, Vaneet Aggarwal
2023	A*	`conf`	Differential Aggregation against General Colluding Attackers. ICDE Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023	J	`jnl`	Differential Aggregation against General Colluding Attackers. CoRR Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023	J	`jnl`	Efficient and lightweight indexing approach for multi-dimensional historical data in blockchain. Future Gener. Comput. Syst. Bikash Chandra Singh, Qingqing Ye, Haibo Hu, Bin Xiao
2023	J	`jnl`	Extended belief rule base with ensemble imbalanced learning for lymph node metastasis diagnosis in endometrial carcinoma. Eng. Appl. Artif. Intell. Long-Hao Yang, Tianyu Ren, Fei-Fei Ye, Haibo Hu, Hui Wang, Hui Zheng
2023	J	`jnl`	Membership Inference Attacks Against Deep Learning Models via Logits Distribution. IEEE Trans. Dependable Secur. Comput. Hongyang Yan, Shuhao Li, Yajie Wang, Yaoyuan Zhang, Kashif Sharif, Haibo Hu, Yuanzhang Li
2023	J	`jnl`	Multidimensional grid-based clustering with local differential privacy. Inf. Sci. Nan Fu, Weiwei Ni, Haibo Hu, Sen Zhang
2023	J	`jnl`	OTKI-F: An efficient memory-secure multi-keyword fuzzy search protocol. J. Comput. Secur. Ziyang Han, Qingqing Ye, Haibo Hu
2023	J	`jnl`	Partial message verification in fog-based industrial Internet of things. Comput. Secur. Haotian Yan, Haibo Hu, Qingqing Ye
2023	J	`jnl`	Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming. IEEE Trans. Mob. Comput. Guanghui Zhang, Ke Liu, Haibo Hu, Vaneet Aggarwal, Jack Y. B. Lee
2023	Misc	`conf`	Predicting Remaining Useful Life of Lithium-Ion Battery Using Extended Belief Rule Base Model. ISKE Long-Hao Yang, Bei-Ya Qian, Chen-Xi Huang, Fei-Fei Ye, Haibo Hu, Hai-Dong Wu
2023	J	`jnl`	PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
2023	J	`jnl`	ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave. IEEE Trans. Cloud Comput. Ziyang Han, Haibo Hu, Qingqing Ye
2023	J	`jnl`	Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM. IEEE Trans. Intell. Transp. Syst. Li Tang, Qingqing Ye, Haibo Hu, Man Ho Au
2023	A*	`conf`	Stateful Switch: Optimized Time Series Release with Local Differential Privacy. INFOCOM Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
2023	J	`jnl`	Synthesizing Realistic Trajectory Data With Differential Privacy. IEEE Trans. Intell. Transp. Syst. Xinyue Sun, Qingqing Ye, Haibo Hu, Yuandong Wang, Kai Huang, Tianyu Wo, Jie Xu
2023	J	`jnl`	TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. Proc. ACM Manag. Data Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
2023	—	`conf`	Towards Defending Against Byzantine LDP Amplified Gain Attacks. DASFAA (1) Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang
2023	J	`jnl`	Trajectory Data Collection with Local Differential Privacy. CoRR Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2023	J	`jnl`	Trajectory Data Collection with Local Differential Privacy. Proc. VLDB Endow. Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han
2022	J	`jnl`	BlockShare: A Blockchain Empowered System for Privacy-Preserving Verifiable Data Sharing. IEEE Data Eng. Bull. Zhe Peng, Jianliang Xu, Haibo Hu, Lei Chen
2022	J	`jnl`	LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2022	A*	`conf`	MExMI: Pool-based Active Model Extraction Crossover Membership Inference. NeurIPS Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
2022	J	`jnl`	Privacy Preservation for Trajectory Publication Based on Differential Privacy. ACM Trans. Intell. Syst. Technol. Lin Yao, Zhenyu Chen, Haibo Hu, Guowei Wu, Bin Wu
2022	J	`jnl`	Privacy and efficiency guaranteed social subgraph matching. VLDB J. Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou
2022	J	`jnl`	Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation. IEEE Trans. Dependable Secur. Comput. Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2022	J	`jnl`	Reverse Nearest Neighbor Search in Semantic Trajectories for Location-Based Services. IEEE Trans. Serv. Comput. Xiao Pan, Shili Nie, Haibo Hu, Philip S. Yu, Jingfeng Guo
2022	J	`jnl`	SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things. IEEE Trans. Netw. Serv. Manag. Haotian Yan, Haibo Hu, Qingqing Ye, Li Tang
2022	J	`jnl`	Stateful Switch: Optimized Time Series Release with Local Differential Privacy. CoRR Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue
2022	J	`jnl`	Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System. IEEE Internet Things J. Li Tang, Qingqing Ye, Huadi Zheng, Haibo Hu, Ziyang Han, Ngai-Fong Law
2022	J	`jnl`	TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. CoRR Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou
2022	—	`conf`	Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way. APWeb/WAIM (3) Yue Fu, Qingqing Ye, Rong Du, Haibo Hu
2022	A*	`conf`	Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. ICDE Jiawei Duan, Qingqing Ye, Haibo Hu
2022	J	`jnl`	Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. CoRR Jiawei Duan, Qingqing Ye, Haibo Hu
2022	J	`jnl`	VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. Proc. VLDB Endow. Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou
2021	J	`jnl`	A Unified Framework for Flexible Playback Latency Control in Live Video Streaming. IEEE Trans. Parallel Distributed Syst. Guanghui Zhang, Jack Y. B. Lee, Ke Liu, Haibo Hu, Vaneet Aggarwal
2021	J	`jnl`	An improved fuzzy rule-based system using evidential reasoning and subtractive clustering for environmental investment prediction. Fuzzy Sets Syst. Long-Hao Yang, Fei-Fei Ye, Jun Liu, Ying-Ming Wang, Haibo Hu
2021	A*	`conf`	Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting. INFOCOM Qingqing Ye, Haibo Hu, Ninghui Li, Xiaofeng Meng, Huadi Zheng, Haotian Yan
2021	B	`conf`	Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy. SECON Rong Du, Qingqing Ye, Yue Fu, Haibo Hu
2021	J	`jnl`	ProDB: A memory-secure database using hardware enclave and practical oblivious RAM. Inf. Syst. Ziyang Han, Haibo Hu
2021	J	`jnl`	SeizeMaliciousURL: A novel learning approach to detect malicious URLs. J. Inf. Secur. Appl. Dipankar Kumar Mondal, Bikash Chandra Singh, Haibo Hu, Shivazi Biswas, Md. Zulfikar Alom, Mohammad Abdul Azim
2021	J	`jnl`	Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity. Distributed Parallel Databases Lin Yao, Zhenyu Chen, Haibo Hu, Guowei Wu, Bin Wu
2021	A	`conf`	Short Video Streaming With Data Wastage Awareness. ICME Guanghui Zhang, Ke Liu, Haibo Hu, Jing Guo
2020	A	`conf`	Cloud Password Shield: A Secure Cloud-based Firewall against DDoS on Authentication Servers. ICDCS Yue Fu, Man Ho Au, Rong Du, Haibo Hu, Dagang Li
2020	J	`jnl`	MISSILE: A System of Mobile Inertial Sensor-Based Sensitive Indoor Location Eavesdropping. IEEE Trans. Inf. Forensics Secur. Huadi Zheng, Haibo Hu
2020	A	`conf`	OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors. CIKM Li Tang, Haibo Hu
2020	J	`jnl`	Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? IEEE Intell. Syst. Huadi Zheng, Haibo Hu, Ziyang Han
2020	A*	`conf`	Towards Locally Differentially Private Generic Graph Metric Estimation. ICDE Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao
2019	—	`conf`	BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. ESORICS (1) Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2019	—	`conf`	Local Differential Privacy: Tools, Challenges, and Opportunities. WISE Workshops Qingqing Ye, Haibo Hu
2019	J	`jnl`	Matrix Bloom Filter: An Efficient Probabilistic Data Structure for 2-tuple Batch Lookup. CoRR Yue Fu, Rong Du, Haibo Hu, Man Ho Au, Dagang Li
2019	A*	`conf`	PrivKV: Key-Value Data Collection with Local Differential Privacy. IEEE Symposium on Security and Privacy Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng
2019	B	`conf`	Publishing Sensitive Trajectory Data Under Enhanced l-Diversity Model. MDM Lin Yao, Xinyu Wang, Xin Wang, Haibo Hu, Guowei Wu
2019	A*	`conf`	vABS: Towards Verifiable Attribute-Based Search Over Shared Cloud Data. ICDE Yang Ji, Cheng Xu, Jianliang Xu, Haibo Hu
2018	A*	`conf`	Authenticating Aggregate Queries over Set-Valued Data with Confidentiality (Extended Abstract). ICDE Cheng Xu, Qian Chen, Haibo Hu, Jianliang Xu, Xiaojun Hei
2018	J	`jnl`	Authenticating Aggregate Queries over Set-Valued Data with Confidentiality. IEEE Trans. Knowl. Data Eng. Cheng Xu, Qian Chen, Haibo Hu, Jianliang Xu, Xiaojun Hei
2018	J	`jnl`	CPP: Towards comprehensive privacy preserving for query processing in information networks. Inf. Sci. Chaobin Liu, Shuigeng Zhou, Haibo Hu, Yuzhe Richard Tang, Jihong Guan, Yao Ma
2018	A*	`conf`	Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowdsourcing. ICDE Xin Lin, Jianliang Xu, Haibo Hu, Zhe Fan
2018	—	`conf`	When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach. SIGMOD Conference Cheng Xu, Jianliang Xu, Haibo Hu, Man Ho Au
2017	J	`jnl`	Assuring Spatio-Temporal Integrity on Mobile Devices with Minimum Location Disclosure. IEEE Trans. Mob. Comput. Haibo Hu, Qian Chen, Jianliang Xu, Byron Choi
2017	J	`jnl`	Geo-social group queries with minimum acquaintance constraints. VLDB J. Qijun Zhu, Haibo Hu, Cheng Xu, Jianliang Xu, Wang-Chien Lee
2017	J	`jnl`	Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowdsourcing. IEEE Trans. Knowl. Data Eng. Xin Lin, Jianliang Xu, Haibo Hu, Zhe Fan
2016	A*	`conf`	Answering why-not spatial keyword top-k queries via keyword adaption. ICDE Lei Chen, Jianliang Xu, Xin Lin, Christian S. Jensen, Haibo Hu
2016	J	`jnl`	Corrupted and occluded face recognition via cooperative sparse representation. Pattern Recognit. Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu
2016	A*	`conf`	Geo-Social K-Cover Group queries for collaborative spatial computing. ICDE Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi
2016	A*	`conf`	Reverse keyword search for spatio-textual top-k queries in location-based services. ICDE Xin Lin, Jianliang Xu, Haibo Hu
2016	A*	`conf`	Structure-preserving subgraph query services. ICDE Zhe Fan, Byron Choi, Qian Chen, Jianliang Xu, Haibo Hu, Sourav S. Bhowmick
2015	A*	`conf`	Answering why-not questions on spatial keyword top-k queries. ICDE Lei Chen, Xin Lin, Haibo Hu, Christian S. Jensen, Jianliang Xu
2015	—	`conf`	Authenticated Online Data Integration Services. SIGMOD Conference Qian Chen, Haibo Hu, Jianliang Xu
2015	—	`conf`	Bichromatic Reverse Nearest Neighbor Query without Information Leakage. DASFAA (1) Lu Wang, Xiaofeng Meng, Haibo Hu, Jianliang Xu
2015	J	`jnl`	Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is. IET Comput. Vis. Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu
2015	J	`jnl`	Geo-Social K-Cover Group Queries for Collaborative Spatial Computing. IEEE Trans. Knowl. Data Eng. Yafei Li, Rui Chen, Jianliang Xu, Qiao Huang, Haibo Hu, Byron Choi
2015	J	`jnl`	PCMLogging: Optimizing Transaction Logging and Recovery Performance with PCM. IEEE Trans. Knowl. Data Eng. Shen Gao, Jianliang Xu, Theo Härder, Bingsheng He, Byron Choi, Haibo Hu
2015	J	`jnl`	Reverse Keyword Search for Spatio-Textual Top-$k$ Queries in Location-Based Services. IEEE Trans. Knowl. Data Eng. Xin Lin, Jianliang Xu, Haibo Hu
2015	J	`jnl`	Structure-Preserving Subgraph Query Services. IEEE Trans. Knowl. Data Eng. Zhe Fan, Byron Choi, Qian Chen, Jianliang Xu, Haibo Hu, Sourav S. Bhowmick
2014	J	`jnl`	A private DNA motif finding algorithm. J. Biomed. Informatics Rui Chen, Yun Peng, Byron Choi, Jianliang Xu, Haibo Hu
2014	J	`jnl`	Authenticating Location-Based Skyline Queries in Arbitrary Subspaces. IEEE Trans. Knowl. Data Eng. Xin Lin, Jianliang Xu, Haibo Hu, Wang-Chien Lee
2014	J	`jnl`	Geo-Social Group Queries with Minimum Acquaintance Constraint. CoRR Qijun Zhu, Haibo Hu, Jianliang Xu, Wang-Chien Lee
2014	A*	`conf`	Private search on key-value stores with hierarchical indexes. ICDE Haibo Hu, Jianliang Xu, Xizhong Xu, Kexin Pei, Byron Choi, Shuigeng Zhou
2014	J	`jnl`	Side-Effect Estimation: A Filtering Approach to the View Update Problem. IEEE Trans. Knowl. Data Eng. Yun Peng, Byron Choi, Jianliang Xu, Haibo Hu, Sourav S. Bhowmick
2013	J	`jnl`	Authenticating Top-k Queries in Location-based Services with Confidentiality. Proc. VLDB Endow. Qian Chen, Haibo Hu, Jianliang Xu
2013	J	`jnl`	Incremental Maintenance of the Minimum Bisimulation of Cyclic Graphs. IEEE Trans. Knowl. Data Eng. Jintian Deng, Byron Choi, Jianliang Xu, Haibo Hu, Sourav S. Bhowmick
2013	J	`jnl`	Nearby Friend Alert: Location Anonymity in Mobile Geosocial Networks. IEEE Pervasive Comput. Hong Ping Li, Haibo Hu, Jianliang Xu
2013	—	`conf`	Online Learning towards Big Data Analysis in Health Informatics. Brain and Health Informatics Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Haibo Hu, Fangqing Gu
2013	J	`jnl`	Optimizing Nonindexed Join Processing in Flash Storage-Based Systems. IEEE Trans. Computers Yu Li, Sai Tung On, Jianliang Xu, Byron Choi, Haibo Hu
2013	—	`conf`	Private proximity detection and monitoring with vicinity regions. MobiDE Xin Lin, Haibo Hu, Hong Ping Li, Jianliang Xu, Byron Choi
2013	J	`jnl`	Range-Based Skyline Queries in Mobile Environments. IEEE Trans. Knowl. Data Eng. Xin Lin, Jianliang Xu, Haibo Hu
2013	A*	`conf`	VERDICT: Privacy-preserving authentication of range queries in location-based services. ICDE Haibo Hu, Qian Chen, Jianliang Xu
2012	—	`conf`	Authenticating location-based services without compromising location privacy. SIGMOD Conference Haibo Hu, Jianliang Xu, Qian Chen, Ziwei Yang
2012	J	`jnl`	Flag Commit: Supporting Efficient Transaction Recovery in Flash-Based DBMSs. IEEE Trans. Knowl. Data Eng. Sai Tung On, Jianliang Xu, Byron Choi, Haibo Hu, Bingsheng He
2012	—	`conf`	You Can Walk Alone: Trajectory Privacy-Preserving through Significant Stays Protection. DASFAA (1) Zheng Huo, Xiaofeng Meng, Haibo Hu, Yi Huang
2011	A	`conf`	Authentication of location-based skyline queries. CIKM Xin Lin, Jianliang Xu, Haibo Hu
2011	—	`conf`	Challenges in Managing and Mining Large, Heterogeneous Data. DASFAA (2) Haibo Hu, Haixun Wang, Baihua Zheng
2011	A	`conf`	PCMLogging: reducing transaction logging overhead with PCM. CIKM Shen Gao, Jianliang Xu, Bingsheng He, Byron Choi, Haibo Hu
2011	A*	`conf`	Processing private queries over untrusted data cloud through privacy homomorphism. ICDE Haibo Hu, Jianliang Xu, Chushi Ren, Byron Choi
2011	A	`conf`	Report on the third international workshop on cloud datamanagement (CloudDB 2011). CIKM Xiaofeng Meng, Zhiming Ding, Haibo Hu
2010	J	`jnl`	2PASS: Bandwidth-Optimized Location Cloaking for Anonymous Location-Based Services. IEEE Trans. Parallel Distributed Syst. Haibo Hu, Jianliang Xu
2010	—	`conf`	Data Engineering in Graph Databases. ISCIS Byron Choi, Haibo Hu, Jianliang Xu, William Kwok-Wai Cheung, Chun-hung Li, Jiming Liu
2010	—	`conf`	DigestJoin: Expediting Joins on Solid-State Drives. DASFAA (2) Shen Gao, Yu Li, Jianliang Xu, Byron Choi, Haibo Hu
2010	J	`jnl`	Flash-Optimized B+-Tree. J. Comput. Sci. Technol. Sai Tung On, Haibo Hu, Yu Li, Jianliang Xu
2010	J	`jnl`	PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects. IEEE Trans. Knowl. Data Eng. Haibo Hu, Jianliang Xu, Dik Lun Lee
2010	J	`jnl`	Privacy-Conscious Location-Based Queries in Mobile Environments. IEEE Trans. Parallel Distributed Syst. Jianliang Xu, Xueyan Tang, Haibo Hu, Jing Du
2010	J	`jnl`	Privacy-aware location data publishing. ACM Trans. Database Syst. Haibo Hu, Jianliang Xu, Sai Tung On, Jing Du, Joseph Kee-Yin Ng
2010	A	`conf`	StableBuffer: optimizing write performance for DBMS applications on flash devices. CIKM Yu Li, Jianliang Xu, Byron Choi, Haibo Hu
2009	B	`conf`	DigestJoin: Exploiting Fast Random Reads for Flash-Based Joins. Mobile Data Management Yu Li, Sai Tung On, Jianliang Xu, Byron Choi, Haibo Hu
2009	B	`conf`	Lazy-Update B+-Tree for Flash Devices. Mobile Data Management Sai Tung On, Haibo Hu, Yu Li, Jianliang Xu
2009	A*	`conf`	Non-Exposure Location Anonymity. ICDE Haibo Hu, Jianliang Xu
2007	B	`conf`	Clustering Moving Objects in Spatial Networks. DASFAA Jidong Chen, Caifeng Lai, Xiaofeng Meng, Jianliang Xu, Haibo Hu
2007	B	`conf`	iPDA: Supporting Privacy-Preserving Location-Based Mobile Services. MDM Jing Du, Jianliang Xu, Xueyan Tang, Haibo Hu
2006	A*	`conf`	Distance Indexing on Road Networks. VLDB Haibo Hu, Dik Lun Lee, Victor C. S. Lee
2006	B	`conf`	Fast Nearest Neighbor Search on Road Networks. EDBT Haibo Hu, Dik Lun Lee, Jianliang Xu
2006	J	`jnl`	Range Nearest-Neighbor Query. IEEE Trans. Knowl. Data Eng. Haibo Hu, Dik Lun Lee
2005	—	`conf`	A Generic Framework for Monitoring Continuous Spatial Queries over Moving Objects. SIGMOD Conference Haibo Hu, Jianliang Xu, Dik Lun Lee
2005	J	`jnl`	Energy-Efficient Monitoring of Spatial Predicates over Moving Objects. IEEE Data Eng. Bull. Haibo Hu, Dik Lun Lee
2005	B	`conf`	GAMMA: A Framework for Moving Object Simulation. SSTD Haibo Hu, Dik Lun Lee
2005	A*	`conf`	Proactive Caching for Spatial Queries in Mobile Environments. ICDE Haibo Hu, Jianliang Xu, Wing Sing Wong, Baihua Zheng, Dik Lun Lee, Wang-Chien Lee
2005	J	`jnl`	When location-based services meet databases. Mob. Inf. Syst. Dik Lun Lee, Manli Zhu, Haibo Hu
2004	J	`jnl`	Adaptive Realtime Bandwidth Allocation for Wireless Data Delivery. Wirel. Networks Chi-Wai Lin, Haibo Hu, Dik Lun Lee
2004	B	`conf`	Semantic Location Modeling for Location Navigation in Mobile Environment. Mobile Data Management Haibo Hu, Dik Lun Lee
2003	B	`conf`	Adaptive Power-Aware Prefetching Schemes for Mobile Broadcast Environments. Mobile Data Management Haibo Hu, Jianliang Xu, Dik Lun Lee
2003	B	`conf`	Towards Real-time Parallel Processing of Spatial Queries. ICPP Haibo Hu, Manli Zhu, Dik Lun Lee