Kai Huang

43 papers A* 9B 1C 1Journal 24Unranked 8
YearRankTypeTitle / Venue / Authors
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
2025 A* conf
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs.
ICDE
Xi He, Kai Huang, Qingqing Ye, Haibo Hu
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 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
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
2024 J jnl
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs.
CoRR
Xi He, Kai Huang, Qingqing Ye, Haibo Hu
2024 A* conf
Efficient Approximate Maximum Inner Product Search Over Sparse Vectors.
ICDE
Xi Zhao, Zhonghan Chen, Kai Huang, Ruiyuan Zhang, Bolong Zheng, Xiaofang Zhou
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
I/O-Efficient Multi-Criteria Shortest Paths Query Processing on Large Graphs.
IEEE Trans. Knowl. Data Eng.
Xinjie Zhou, Kai Huang, Lei Li, Mengxuan Zhang, Xiaofang Zhou
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
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
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
2023 J jnl
A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams.
Proc. ACM Manag. Data
Yao Tian, Tingyun Yan, Ruiyuan Zhang, Kai Huang, Bolong Zheng, Xiaofang Zhou
2023 J jnl
A Learned Index for Exact Similarity Search in Metric Spaces.
IEEE Trans. Knowl. Data Eng.
Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou
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
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 A* conf
Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks.
ICDE
Bolong Zheng, Yong Ma, Jingyi Wan, Yongyong Gao, Kai Huang, Xiaofang Zhou, Christian S. Jensen
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 J jnl
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces.
Proc. VLDB Endow.
Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou
2023 J jnl
VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines.
Proc. VLDB Endow.
Kai Huang, Houdong Liang, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou
2022 J jnl
A Learned Index for Exact Similarity Search in Metric Spaces.
CoRR
Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou
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
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
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 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
2022 A* conf
Workload-Aware Shortest Path Distance Querying in Road Networks.
ICDE
Bolong Zheng, Jingyi Wan, Yongyong Gao, Yong Ma, Kai Huang, Xiaofang Zhou, Christian S. Jensen
2021 — conf
MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces.
SIGMOD Conference
Kai Huang, Huey-Eng Chua, Sourav S. Bhowmick, Byron Choi, Shuigeng Zhou
2020 — conf
AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases.
SIGMOD Conference
Sourav S. Bhowmick, Kai Huang, Huey-Eng Chua, Zifeng Yuan, Byron Choi, Shuigeng Zhou
2019 — conf
CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation.
SIGMOD Conference
Kai Huang, Huey-Eng Chua, Sourav S. Bhowmick, Byron Choi, Shuigeng Zhou
2017 B conf
Gaussian Weighting Reversion Strategy for Accurate On-Line Portfolio Selection.
ICTAI
Zekun Ye, Kai Huang, Shuigeng Zhou, Jihong Guan
2017 J jnl
PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases.
Proc. VLDB Endow.
Kai Huang, Sourav S. Bhowmick, Shuigeng Zhou, Byron Choi
2017 J jnl
Selecting high-quality negative samples for effectively predicting protein-RNA interactions.
BMC Syst. Biol.
Zhanzhan Cheng, Kai Huang, Yang Wang, Hui Liu, Jihong Guan, Shuigeng Zhou
2016 — conf
Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models.
ICIC (3)
Yifu Huang, Kai Huang, Yang Wang, Hao Zhang, Jihong Guan, Shuigeng Zhou
2015 — conf
Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models.
DASFAA (2)
Yifu Huang, Shuigeng Zhou, Kai Huang, Jihong Guan
2015 — conf
Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media.
ICSH
Qiaozhen Guo, Wayne Wei Huang, Kai Huang, Xiao Liu
2013 — conf
Classification of neonatal amplitude-integrated EEG using random forest model with combined feature.
BIBM
Yu Wang, Weiting Chen, Kai Huang, Qiufang Gu
2012 C conf
Domain adaptation to automatic classification of neonatal amplitude-integrated EEG.
ISDA
Yang Liu, Weiting Chen, Su Yang, Kai Huang