Domain adaptation to automatic classification of neonatal amplitude-integrated EEG. - Yang Liu; Weiting Chen; Su Yang; Kai Huang 011 (ISDA, 2012)

Classification of neonatal amplitude-integrated EEG using random forest model with combined feature. - Yu Wang; Weiting Chen; Kai Huang 011; Qiufang Gu (BIBM, 2013)

Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models. - Yifu Huang; Shuigeng Zhou; Kai Huang 011; Jihong Guan (DASFAA (2), 2015)

Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media. - Qiaozhen Guo; Wayne Wei Huang; Kai Huang 011; Xiao Liu 016 (ICSH, 2015)

Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models. - Yifu Huang; Kai Huang 011; Yang Wang 100; Hao Zhang 079; Jihong Guan; Shuigeng Zhou (ICIC (3), 2016)

Gaussian Weighting Reversion Strategy for Accurate On-Line Portfolio Selection. - Zekun Ye; Kai Huang 011; Shuigeng Zhou; Jihong Guan (ICTAI, 2017)

Selecting high-quality negative samples for effectively predicting protein-RNA interactions. - Zhanzhan Cheng; Kai Huang 011; Yang Wang 100; Hui Liu 026; Jihong Guan; Shuigeng Zhou (BMC Syst. Biol., 2017)

PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases. - Kai Huang 011; Sourav S. Bhowmick; Shuigeng Zhou; Byron Choi (Proc. VLDB Endow., 2017)

CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation. - Kai Huang 011; Huey-Eng Chua; Sourav S. Bhowmick; Byron Choi; Shuigeng Zhou (SIGMOD Conference, 2019)

AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases. - Sourav S. Bhowmick; Kai Huang 011; Huey-Eng Chua; Zifeng Yuan; Byron Choi; Shuigeng Zhou (SIGMOD Conference, 2020)

MIDAS: Towards Efficient and Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces. - Kai Huang 011; Huey-Eng Chua; Sourav S. Bhowmick; Byron Choi; Shuigeng Zhou (SIGMOD Conference, 2021)

Workload-Aware Shortest Path Distance Querying in Road Networks. - Bolong Zheng; Jingyi Wan; Yongyong Gao; Yong Ma; Kai Huang 011; Xiaofang Zhou 001; Christian S. Jensen (ICDE, 2022)

VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. - Kai Huang 011; Qingqing Ye 001; Jing Zhao; Xi Zhao 006; Haibo Hu 001; Xiaofang Zhou 001 (Proc. VLDB Endow., 2022)

Privacy and efficiency guaranteed social subgraph matching. - Kai Huang 011; Haibo Hu 001; Shuigeng Zhou; Jihong Guan; Qingqing Ye 001; Xiaofang Zhou 001 (VLDB J., 2022)

Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks. - Bolong Zheng; Yong Ma; Jingyi Wan; Yongyong Gao; Kai Huang 011; Xiaofang Zhou 001; Christian S. Jensen (ICDE, 2023)

Stateful Switch: Optimized Time Series Release with Local Differential Privacy. - Qingqing Ye 001; Haibo Hu 001; Kai Huang 011; Man Ho Au; Qiao Xue (INFOCOM, 2023)

TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. - Kai Huang 011; Haibo Hu 001; Qingqing Ye 001; Kai Tian; Bolong Zheng; Xiaofang Zhou 001 (Proc. ACM Manag. Data, 2023)

VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines. - Kai Huang 011; Houdong Liang; Chongchong Yao; Xi Zhao 006; Yue Cui 001; Yao Tian; Ruiyuan Zhang; Xiaofang Zhou 001 (Proc. VLDB Endow., 2023)

Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces. - Xi Zhao 006; Yao Tian; Kai Huang 011; Bolong Zheng; Xiaofang Zhou 001 (Proc. VLDB Endow., 2023)

PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy. - Qingqing Ye 001; Haibo Hu 001; Xiaofeng Meng 001; Huadi Zheng; Kai Huang 011; Chengfang Fang; Jie Shi (IEEE Trans. Dependable Secur. Comput., 2023)

Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy. - Qiuyu Qian; Qingqing Ye 001; Haibo Hu 001; Kai Huang 011; Tom Tak-Lam Chan; Jin Li 002 (IEEE Trans. Inf. Forensics Secur., 2023)

Synthesizing Realistic Trajectory Data With Differential Privacy. - Xinyue Sun; Qingqing Ye 001; Haibo Hu 001; Yuandong Wang; Kai Huang 011; Tianyu Wo; Jie Xu 007 (IEEE Trans. Intell. Transp. Syst., 2023)

A Learned Index for Exact Similarity Search in Metric Spaces. - Yao Tian; Tingyun Yan; Xi Zhao 006; Kai Huang 011; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams. - Yao Tian; Tingyun Yan; Ruiyuan Zhang; Kai Huang 011; Bolong Zheng; Xiaofang Zhou 001 (Proc. ACM Manag. Data, 2023)

LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. - Leixia Wang; Qingqing Ye 001; Haibo Hu 001; Xiaofeng Meng 001; Kai Huang 011 (DASFAA (4), 2024)

Efficient Approximate Maximum Inner Product Search Over Sparse Vectors. - Xi Zhao 006; Zhonghan Chen; Kai Huang 011; Ruiyuan Zhang; Bolong Zheng; Xiaofang Zhou 002 (ICDE, 2024)

FRESH: Towards Efficient Graph Queries in an Outsourced Graph. - Kai Huang 011; Yunqi Li; Qingqing Ye 001; Yao Tian; Xi Zhao 006; Yue Cui 001; Haibo Hu 001; Xiaofang Zhou 001 (ICDE, 2024)

PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy. - Yulian Mao; Qingqing Ye 001; Haibo Hu 001; Qi Wang 012; Kai Huang 011 (ICDE, 2024)

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. - Xi He; Kai Huang 011; Qingqing Ye 001; Haibo Hu 001 (CoRR, 2024)

TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. - Kai Huang 011; Yue Cui 001; Qingqing Ye 001; Yan Zhao 008; Xi Zhao 006; Yao Tian; Kai Zheng 001; Haibo Hu 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols. - Kai Huang 011; Gaoya Ouyang; Qingqing Ye 001; Haibo Hu 001; Bolong Zheng; Xi Zhao 006; Ruiyuan Zhang; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

I/O-Efficient Multi-Criteria Shortest Paths Query Processing on Large Graphs. - Xinjie Zhou; Kai Huang 011; Lei Li 003; Mengxuan Zhang 001; Xiaofang Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. - Qingqing Ye 001; Liantong Yu; Kai Huang 011; Xiaokui Xiao; Weiran Liu; Haibo Hu 001 (SP, 2025)

Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach. - Rong Du; Qingqing Ye 001; Yue Fu; Haibo Hu 001; Kai Huang 011 (IEEE Trans. Dependable Secur. Comput., 2025)

Multi-class Item Mining under Local Differential Privacy. - Yulian Mao; Qingqing Ye 001; Rong Du; Qi Wang 012; Kai Huang 011; Haibo Hu 001 (CoRR, 2025)