Haibo Hu

Orcid: 0000-0002-9008-2112

Affiliations:
  • Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Kowloon
  • Hong Kong Baptist University, Kowloon Tong
  • Hong Kong University of Science and Technology


According to our database1, Haibo Hu authored at least 233 papers between 2003 and 2026.

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Bibliography

2026
Belief rule-based system with two-stage optimization approach for handling class-imbalance problems.
Knowl. Inf. Syst., December, 2026

SUGPT: Efficient Graph Unsummarization for the Right to Be Forgotten.
IEEE Trans. Knowl. Data Eng., May, 2026

Answering Range Queries for Arbitrary Distribution Under Shuffled Differential Privacy.
IEEE Trans. Knowl. Data Eng., April, 2026

Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training.
CoRR, April, 2026

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection.
CoRR, April, 2026

IDDM: Identity-Decoupled Personalized Diffusion Models with a Tunable Privacy-Utility Trade-off.
CoRR, April, 2026

COLE<sup>+</sup>: Towards Practical Column-based Learned Storage for Blockchain Systems.
CoRR, March, 2026

Understanding and Enhancing Encoder-based Adversarial Transferability against Large Vision-Language Models.
CoRR, February, 2026

Machine Unlearning in Low-Dimensional Feature Subspace.
CoRR, January, 2026

FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning.
CoRR, January, 2026

On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression.
CoRR, January, 2026

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models.
CoRR, January, 2026

Diffusion-Guided Backdoor Attacks in Real-World Reinforcement Learning.
CoRR, January, 2026

United We Defend: Collaborative Membership Inference Defenses in Federated Learning.
CoRR, January, 2026

From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning.
CoRR, January, 2026

FastPSC: A Fast and Maliciously Secure Set Computation Service for Multi-Owner Set Data.
IEEE Trans. Serv. Comput., 2026

Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions.
Trans. Mach. Learn. Res., 2026

RATR: Optimized Trajectory Release With Temporal Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2026

LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data.
IEEE Trans. Dependable Secur. Comput., 2026

A novel data-driven health status assessment model based on multiple criteria appraisal recommendation with three-parameter interval grey number.
Reliab. Eng. Syst. Saf., 2026

Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs.
Proceedings of the ACM Web Conference 2026, 2026

How Green Is Your Login? A Cross-Protocol Benchmark of Authentication Energy & Latency.
Proceedings of the ACM Web Conference 2026, 2026

WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Communication-efficient Federated Graph Classification via Generative Diffusion Modeling.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Adversarial Signed Graph Learning with Differential Privacy.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Benchmarking Relaxed Differential Privacy in Private Learning: A Comparative Survey.
ACM Comput. Surv., December, 2025

Collecting Multi-type and Correlation-Constrained Streaming Sensor Data with Local Differential Privacy.
ACM Trans. Sens. Networks, November, 2025

SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning.
CoRR, November, 2025

GeoRecover: Recovery From Poisoning Attacks for LDP-Enabled Spatial Density Aggregation.
IEEE Trans. Knowl. Data Eng., October, 2025

Analyzing and Enhancing LDP Perturbation Mechanisms in Federated Learning.
IEEE Trans. Knowl. Data Eng., October, 2025

Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts.
CoRR, October, 2025

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics.
CoRR, October, 2025

Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary.
CoRR, October, 2025

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data.
CoRR, September, 2025

A Survey on Securing Image-Centric Edge Intelligence.
ACM Trans. Multim. Comput. Commun. Appl., August, 2025

Introduction to the Special Issue on AI Empowered Edge Computing for Multimedia Applications.
ACM Trans. Multim. Comput. Commun. Appl., August, 2025

PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs.
Proc. VLDB Endow., July, 2025

United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory.
CoRR, June, 2025

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs.
CoRR, May, 2025

Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations.
CoRR, May, 2025

A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis.
IEEE Trans. Syst. Man Cybern. Syst., April, 2025

Membership Inference Attacks and Defenses in Federated Learning: A Survey.
ACM Comput. Surv., April, 2025

Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically.
CoRR, April, 2025

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services.
Proc. VLDB Endow., February, 2025

Federated Heavy Hitter Analytics with Local Differential Privacy.
Proc. ACM Manag. Data, February, 2025

Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data.
CoRR, January, 2025

Auditing MLaaS Inference Service Quality Without Ground Truth via Mutual Information.
IEEE Trans. Inf. Forensics Secur., 2025

DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features.
IEEE Trans. Inf. Forensics Secur., 2025

ProVFL: Property Inference Attacks Against Vertical Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2025

SARAs: Substitution and Replay Attacks in the Maintenance Mode of Encrypted Databases.
IEEE Trans. Dependable Secur. Comput., 2025

Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction.
IEEE Trans. Dependable Secur. Comput., 2025

VAE-Based Membership Cleanser Against Membership Inference Attacks.
IEEE Trans. Dependable Secur. Comput., 2025

Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach.
IEEE Trans. Dependable Secur. Comput., 2025

$\eta$η-Inference: A Data-Aware and High-Utility Privacy Model for Relational Data Publishing.
IEEE Trans. Dependable Secur. Comput., 2025

RMR: A Relative Membership Risk Measure for Machine Learning Models.
IEEE Trans. Dependable Secur. Comput., 2025

Multi-hop sanitizable signature for collaborative edge computing.
J. Comput. Secur., 2025

Secure bi-attribute index: Batch membership tests over the non-sensitive attribute.
Comput. Secur., 2025

Points of the local optimal privacy utility tradeoff.
Comput. Secur., 2025

Classification and Time-Frequency Localization of Arbitrary LPWAN Signals With Radial Deformable DETR.
IEEE Access, 2025

MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective.
Proceedings of the ACM on Web Conference 2025, 2025

FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning.
Proceedings of the ACM on Web Conference 2025, 2025

From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need.
Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

Privacy-Preserving LLM Agent for Multi-modal Health Monitoring.
Proceedings of the Provable and Practical Security, 2025

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Proceedings of the Forty-second International Conference on Machine Learning, 2025

AdvSGM: Differentially Private Graph Learning via Adversarial Skip-Gram Model.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Structure-Preference Enabled Graph Embedding Generation Under Differential Privacy.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Multi-Class Item Mining Under Local Differential Privacy.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

PrivIM: Differentially Private Graph Neural Networks for Influence Maximization.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Analyzing and Optimizing Perturbation of DP-SGD Geometrically.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Dual Utilization of Perturbation for Stream Data Publication Under Local Differential Privacy.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Federated Continuous Category Discovery and Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Hypercomplex Prompt-aware Multimodal Recommendation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Exploring Intrinsic Alignments Within Text Corpus.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model.
IEEE Trans. Knowl. Data Eng., November, 2024

LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols.
IEEE Trans. Knowl. Data Eng., July, 2024

PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy.
Proc. VLDB Endow., July, 2024

Utility-Aware Time Series Data Release With Anomalies Under TLDP.
IEEE Trans. Mob. Comput., June, 2024

TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
IEEE Trans. Knowl. Data Eng., May, 2024

zkChain: A privacy-preserving model based on zk-SNARKs and hash chain for efficient transfer of assets.
Trans. Emerg. Telecommun. Technol., April, 2024

DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.
Proc. VLDB Endow., February, 2024

PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization.
IEEE Trans. Knowl. Data Eng., January, 2024

LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space.
IEEE Trans. Knowl. Data Eng., 2024

DeepMark: A Scalable and Robust Framework for DeepFake Video Detection.
ACM Trans. Priv. Secur., 2024

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., 2024

Generating Location Traces With Semantic- Constrained Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2024

RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices.
IEEE Trans. Inf. Forensics Secur., 2024

Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2024

A Utility-Aware Anonymization Model for Multiple Sensitive Attributes Based on Association Concealment.
IEEE Trans. Dependable Secur. Comput., 2024

MTL-Leak: Privacy Risk Assessment in Multi-Task Learning.
IEEE Trans. Dependable Secur. Comput., 2024

Enterprise performance online evaluation based on extended belief rule-base model.
Expert Syst. Appl., 2024

Differential Privacy for Time Series: A Survey.
IEEE Data Eng. Bull., 2024

New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes.
CoRR, 2024

Alignment-Aware Model Extraction Attacks on Large Language Models.
CoRR, 2024

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.
CoRR, 2024

Time-Specific Integrity Service in MQTT Protocol.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Differentially Private Graph Neural Networks for Link Prediction.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FRESH: Towards Efficient Graph Queries in an Outsourced Graph.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

V2FS : A Verifiable Virtual Filesystem for Multi-Chain Query Authentication.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

COLE: A Column-based Learned Storage for Blockchain Systems.
Proceedings of the 22nd USENIX Conference on File and Storage Technologies, 2024

TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM.
IEEE Trans. Intell. Transp. Syst., December, 2023

Partial message verification in fog-based industrial Internet of things.
Comput. Secur., December, 2023

Extended belief rule base with ensemble imbalanced learning for lymph node metastasis diagnosis in endometrial carcinoma.
Eng. Appl. Artif. Intell., November, 2023

Adaptive Video Streaming With Automatic Quality-of-Experience Optimization.
IEEE Trans. Mob. Comput., August, 2023

DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., July, 2023

Synthesizing Realistic Trajectory Data With Differential Privacy.
IEEE Trans. Intell. Transp. Syst., May, 2023

Multidimensional grid-based clustering with local differential privacy.
Inf. Sci., April, 2023

DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming.
IEEE Trans. Serv. Comput., 2023

Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming.
IEEE Trans. Mob. Comput., 2023

Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2023

PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2023

Membership Inference Attacks Against Deep Learning Models via Logits Distribution.
IEEE Trans. Dependable Secur. Comput., 2023

ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave.
IEEE Trans. Cloud Comput., 2023

Trajectory Data Collection with Local Differential Privacy.
Proc. VLDB Endow., 2023

TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
Proc. ACM Manag. Data, 2023

OTKI-F: An efficient memory-secure multi-keyword fuzzy search protocol.
J. Comput. Secur., 2023

Efficient and lightweight indexing approach for multi-dimensional historical data in blockchain.
Future Gener. Comput. Syst., 2023

3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Predicting Remaining Useful Life of Lithium-Ion Battery Using Extended Belief Rule Base Model.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Stateful Switch: Optimized Time Series Release with Local Differential Privacy.
Proceedings of the IEEE INFOCOM 2023, 2023

Differential Aggregation against General Colluding Attackers.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Towards Defending Against Byzantine LDP Amplified Gain Attacks.
Proceedings of the Database Systems for Advanced Applications, 2023

CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Privacy and efficiency guaranteed social subgraph matching.
VLDB J., 2022

Reverse Nearest Neighbor Search in Semantic Trajectories for Location-Based Services.
IEEE Trans. Serv. Comput., 2022

SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things.
IEEE Trans. Netw. Serv. Manag., 2022

LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2022

Privacy Preservation for Trajectory Publication Based on Differential Privacy.
ACM Trans. Intell. Syst. Technol., 2022

Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation.
IEEE Trans. Dependable Secur. Comput., 2022

VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases.
Proc. VLDB Endow., 2022

Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System.
IEEE Internet Things J., 2022

BlockShare: A Blockchain Empowered System for Privacy-Preserving Verifiable Data Sharing.
IEEE Data Eng. Bull., 2022

MExMI: Pool-based Active Model Extraction Crossover Membership Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
A Unified Framework for Flexible Playback Latency Control in Live Video Streaming.
IEEE Trans. Parallel Distributed Syst., 2021

SeizeMaliciousURL: A novel learning approach to detect malicious URLs.
J. Inf. Secur. Appl., 2021

ProDB: A memory-secure database using hardware enclave and practical oblivious RAM.
Inf. Syst., 2021

An improved fuzzy rule-based system using evidential reasoning and subtractive clustering for environmental investment prediction.
Fuzzy Sets Syst., 2021

Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity.
Distributed Parallel Databases, 2021

Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Short Video Streaming With Data Wastage Awareness.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
MISSILE: A System of Mobile Inertial Sensor-Based Sensitive Indoor Location Eavesdropping.
IEEE Trans. Inf. Forensics Secur., 2020

Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning?
IEEE Intell. Syst., 2020

Towards Locally Differentially Private Generic Graph Metric Estimation.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Cloud Password Shield: A Secure Cloud-based Firewall against DDoS on Authentication Servers.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Matrix Bloom Filter: An Efficient Probabilistic Data Structure for 2-tuple Batch Lookup.
CoRR, 2019

Local Differential Privacy: Tools, Challenges, and Opportunities.
Proceedings of the Web Information Systems Engineering, 2019

PrivKV: Key-Value Data Collection with Local Differential Privacy.
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Publishing Sensitive Trajectory Data Under Enhanced l-Diversity Model.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

vABS: Towards Verifiable Attribute-Based Search Over Shared Cloud Data.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.
Proceedings of the Computer Security - ESORICS 2019, 2019

2018
Authenticating Aggregate Queries over Set-Valued Data with Confidentiality.
IEEE Trans. Knowl. Data Eng., 2018

CPP: Towards comprehensive privacy preserving for query processing in information networks.
Inf. Sci., 2018

When Query Authentication Meets Fine-Grained Access Control: A Zero-Knowledge Approach.
Proceedings of the 2018 International Conference on Management of Data, 2018

Reducing Uncertainty of Probabilistic Top-k Ranking via Pairwise Crowdsourcing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Authenticating Aggregate Queries over Set-Valued Data with Confidentiality (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Geo-social group queries with minimum acquaintance constraints.
VLDB J., 2017

Assuring Spatio-Temporal Integrity on Mobile Devices with Minimum Location Disclosure.
IEEE Trans. Mob. Comput., 2017

2016
Corrupted and occluded face recognition via cooperative sparse representation.
Pattern Recognit., 2016

Reverse keyword search for spatio-textual top-k queries in location-based services.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Geo-Social K-Cover Group queries for collaborative spatial computing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Structure-preserving subgraph query services.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Answering why-not spatial keyword top-k queries via keyword adaption.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
PCMLogging: Optimizing Transaction Logging and Recovery Performance with PCM.
IEEE Trans. Knowl. Data Eng., 2015

Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is.
IET Comput. Vis., 2015

Authenticated Online Data Integration Services.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Answering why-not questions on spatial keyword top-k queries.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Bichromatic Reverse Nearest Neighbor Query without Information Leakage.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
Side-Effect Estimation: A Filtering Approach to the View Update Problem.
IEEE Trans. Knowl. Data Eng., 2014

Authenticating Location-Based Skyline Queries in Arbitrary Subspaces.
IEEE Trans. Knowl. Data Eng., 2014

A private DNA motif finding algorithm.
J. Biomed. Informatics, 2014

Geo-Social Group Queries with Minimum Acquaintance Constraint.
CoRR, 2014

Private search on key-value stores with hierarchical indexes.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Range-Based Skyline Queries in Mobile Environments.
IEEE Trans. Knowl. Data Eng., 2013

Incremental Maintenance of the Minimum Bisimulation of Cyclic Graphs.
IEEE Trans. Knowl. Data Eng., 2013

Optimizing Nonindexed Join Processing in Flash Storage-Based Systems.
IEEE Trans. Computers, 2013

Authenticating Top-k Queries in Location-based Services with Confidentiality.
Proc. VLDB Endow., 2013

Nearby Friend Alert: Location Anonymity in Mobile Geosocial Networks.
IEEE Pervasive Comput., 2013

Private proximity detection and monitoring with vicinity regions.
Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Access, 2013

VERDICT: Privacy-preserving authentication of range queries in location-based services.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Online Learning towards Big Data Analysis in Health Informatics.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2012
Flag Commit: Supporting Efficient Transaction Recovery in Flash-Based DBMSs.
IEEE Trans. Knowl. Data Eng., 2012

Authenticating location-based services without compromising location privacy.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

You Can Walk Alone: Trajectory Privacy-Preserving through Significant Stays Protection.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Processing private queries over untrusted data cloud through privacy homomorphism.
Proceedings of the 27th International Conference on Data Engineering, 2011

Challenges in Managing and Mining Large, Heterogeneous Data.
Proceedings of the Database Systems for Advanced Applications, 2011

Report on the third international workshop on cloud datamanagement (CloudDB 2011).
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Authentication of location-based skyline queries.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

PCMLogging: reducing transaction logging overhead with PCM.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Privacy-Conscious Location-Based Queries in Mobile Environments.
IEEE Trans. Parallel Distributed Syst., 2010

2PASS: Bandwidth-Optimized Location Cloaking for Anonymous Location-Based Services.
IEEE Trans. Parallel Distributed Syst., 2010

Privacy-aware location data publishing.
ACM Trans. Database Syst., 2010

PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects.
IEEE Trans. Knowl. Data Eng., 2010

Flash-Optimized B+-Tree.
J. Comput. Sci. Technol., 2010

Data Engineering in Graph Databases.
Proceedings of the Computer and Information Sciences, 2010

DigestJoin: Expediting Joins on Solid-State Drives.
Proceedings of the Database Systems for Advanced Applications, 2010

StableBuffer: optimizing write performance for DBMS applications on flash devices.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Lazy-Update B+-Tree for Flash Devices.
Proceedings of the MDM 2009, 2009

DigestJoin: Exploiting Fast Random Reads for Flash-Based Joins.
Proceedings of the MDM 2009, 2009

Non-Exposure Location Anonymity.
Proceedings of the 25th International Conference on Data Engineering, 2009

2007
iPDA: Supporting Privacy-Preserving Location-Based Mobile Services.
Proceedings of the 8th International Conference on Mobile Data Management (MDM 2007), 2007

Clustering Moving Objects in Spatial Networks.
Proceedings of the Advances in Databases: Concepts, 2007

2006
Range Nearest-Neighbor Query.
IEEE Trans. Knowl. Data Eng., 2006

Distance Indexing on Road Networks.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Fast Nearest Neighbor Search on Road Networks.
Proceedings of the Advances in Database Technology, 2006

2005
When location-based services meet databases.
Mob. Inf. Syst., 2005

Energy-Efficient Monitoring of Spatial Predicates over Moving Objects.
IEEE Data Eng. Bull., 2005

GAMMA: A Framework for Moving Object Simulation.
Proceedings of the Advances in Spatial and Temporal Databases, 9th International Symposium, 2005

A Generic Framework for Monitoring Continuous Spatial Queries over Moving Objects.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Proactive Caching for Spatial Queries in Mobile Environments.
Proceedings of the 21st International Conference on Data Engineering, 2005

2004
Adaptive Realtime Bandwidth Allocation for Wireless Data Delivery.
Wirel. Networks, 2004

Semantic Location Modeling for Location Navigation in Mobile Environment.
Proceedings of the 5th IEEE International Conference on Mobile Data Management (MDM 2004), 2004

2003
Adaptive Power-Aware Prefetching Schemes for Mobile Broadcast Environments.
Proceedings of the Mobile Data Management, 4th International Conference, MDM 2003, 2003

Towards Real-time Parallel Processing of Spatial Queries.
Proceedings of the 32nd International Conference on Parallel Processing (ICPP 2003), 2003


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