The Embedded VSR System Design Based on ARM and Frequency Spectrum Analysis. - Hongpeng Wang; Zhengkui Wang (PACIIA (2), 2008)

CEO a cloud epistasis computing model in GWAS. - Zhengkui Wang; Yue Wang 006; Kian-Lee Tan; Limsoon Wong; Divyakant Agrawal (BIBM, 2010)

LORA: Link Obfuscation by Randomization in Graphs. - Qian Xiao 002; Zhengkui Wang; Kian-Lee Tan (Secure Data Management, 2011)

eCEO: an efficient Cloud Epistasis cOmputing model in genome-wide association study. - Zhengkui Wang; Yue Wang 006; Kian-Lee Tan; Limsoon Wong; Divyakant Agrawal (Bioinform., 2011)

Scalable Data Cube Analysis over Big Data. - Zhengkui Wang; Yan Chu 001; Kian-Lee Tan; Divyakant Agrawal; Amr El Abbadi; Xiaolong Xu (CoRR, 2013)

COSAC: A Framework for Combinatorial Statistical Analysis on Cloud. - Zhengkui Wang; Divyakant Agrawal; Kian-Lee Tan (IEEE Trans. Knowl. Data Eng., 2013)

Pagrol: Parallel graph olap over large-scale attributed graphs. - Zhengkui Wang; Qi Fan; Huiju Wang; Kian-Lee Tan; Divyakant Agrawal; Amr El Abbadi (ICDE, 2014)

A flexible and reliable recommendation algorithm in intelligent transportation system. - Lei Yang; Yan Chu 001; Guangyu Li; Xingmei Wang; Linlin Xia; Zhengkui Wang; Kian-Lee Tan (ICDIM, 2015)

Transfer learning over big data. - Lei Yang; Yan Chu 001; Jianpei Zhang; Linlin Xia; Zhengkui Wang; Kian-Lee Tan (ICDIM, 2015)

Transfer Learning in Large-Scale Short Text Analysis. - Yan Chu 001; Zhengkui Wang; Man Chen; Linlin Xia; Fengmei Wei; Mengnan Cai (KSEM, 2015)

Scalable Distributed Stream Join Processing. - Qian Lin 002; Beng Chin Ooi; Zhengkui Wang; Cui Yu (SIGMOD Conference, 2015)

Supporting Window Analytics over Large-scale Dynamic Graphs. - Qi Fan; Zhengkui Wang; Chee-Yong Chan; Kian-Lee Tan (CoRR, 2015)

Towards Neighborhood Window Analytics over Large-Scale Graphs. - Qi Fan; Zhengkui Wang; Chee-Yong Chan; Kian-Lee Tan (DASFAA (2), 2016)

HaCube: Extending MapReduce for Efficient OLAP Cube Materialization and View Maintenance. - Zhengkui Wang; Yan Chu 001; Kian-Lee Tan; Divyakant Agrawal; Amr El Abbadi (DASFAA (2), 2016)

TRSO: A Tourism Recommender System Based on Ontology. - Yan Chu 001; Hongbin Wang; Liying Zheng; Zhengkui Wang; Kian-Lee Tan (KSEM, 2016)

Towards a Non-2PC Transaction Management in Distributed Database Systems. - Qian Lin 002; Pengfei Chang; Gang Chen 001; Beng Chin Ooi; Kian-Lee Tan; Zhengkui Wang (SIGMOD Conference, 2016)

TwiInsight: Discovering Topics and Sentiments from Social Media Datasets. - Zhengkui Wang; Guangdong Bai; Soumyadeb Chowdhury; Quanqing Xu; Zhi Lin Seow (CoRR, 2017)

VCExplorer: A Interactive Graph Exploration Framework Based on Hub Vertices with Graph Consolidation. - Huiju Wang; Zhengkui Wang; Kian-Lee Tan; Chee-Yong Chan; Qi Fan; Xiao Yue (CoRR, 2017)

Graph OLAP. - Zhengkui Wang (Encyclopedia of Database Systems (2nd ed.), 2018)

An Attention-Based Recommendation Algorithm. - Yan Chu 001; Shuhao Qi; Yue Yang; Chenqi Shan; Lina Wang; Zhengkui Wang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network. - Enhan Liu; Yan Chu 001; Lan Luan; Guang Li; Zhengkui Wang (KSEM (1), 2019)

An Automated Staff Roster Planning System (SRPS) For Healthcare Industry. - Larry Ruohua Zhu; Jun Hong Tong; Malcolm Yoke Hean Low; Ben Hsin Lau; Mary Xiaorong Chen; Zhengkui Wang (SNPD, 2019)

SecureAS: A Vulnerability Assessment System for Deep Neural Network Based on Adversarial Examples. - Yan Chu 001; Xiao Yue; Quan Wang; Zhengkui Wang (IEEE Access, 2020)

Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang (CoRR, 2020)

Automatic Image Captioning Based on ResNet50 and LSTM with Soft Attention. - Yan Chu 001; Xiao Yue; Lei Yu; Mikhailov Sergei; Zhengkui Wang (Wirel. Commun. Mob. Comput., 2020)

News Insider: Innovating News Understanding to Improve the Quality of Reading Experience. - Zhengkui Wang; Soumyadeb Chowdhury; Malcolm Yoke Hean Low; Wen Shan (ACCC, 2021)

Distributed Density Peaks Clustering Revisited (Extended Abstract). - Jing Lu; Yuhai Zhao; Kian-Lee Tan; Zhengkui Wang (ICDE, 2021)

Multi-graph Multi-label Learning with Dual-granularity Labeling. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Chengqi Zhang (KDD, 2021)

Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion. - Yan Chu 001; Zhengkui Wang; Lina Wang; Qingchao Zhao; Wen Shan (KSEM, 2021)

Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. - Qingchao Zhao; Jing Yang 010; Zhengkui Wang; Yan Chu 001; Wen Shan; Isfaque Al Kaderi Tuhin (KSEM, 2021)

LionKeeper: Automatically Discovering Timely Cybercrime Dynamics in the Age of COVID-19. - Adrian Chan Feng Jun; Andrew Fong En Wei; Chua Wee Chye Ryan; Goh Qing Han; Jacob Abraham; Zhengkui Wang (SOLI, 2021)

Smart Cybercrime Classification for Digital Forensics with Small Datasets. - Isfaque Al Kaderi Tuhin; Peter Loh; Zhengkui Wang (CSCML, 2022)

EfficientFCOS: An Efficient One-stage Object Detection Model based on FCOS. - Yan Chu 001; Jianpeng Guo; Wen Shan; Zhengkui Wang (CSCWD, 2022)

Density Division Face Clustering Based on Graph Convolutional Networks. - Qingchao Zhao; Long Li; Yan Chu 001; Zhengkui Wang; Wen Shan (ICPR, 2022)

ViCollAR: A Novel System for 3D Data Visualization using Collaborative Augmented Reality. - Dongyu Qiu; Clemen Yu Da Ow; Xinxing Xia; Jin Qi Yeo; Jiazhi Xia; Malcolm Yoke Hean Low; Zhengkui Wang; Alvin Toong Shoon Chan; Frank Yunqing Guan (ISMAR Adjunct, 2022)

TSC-GCN: A Face Clustering Method Based on GCN. - Jinmin Xue; Shengdong Qu; Jingxian Li; Yan Chu 001; Zhengkui Wang (KSEM (3), 2022)

How to better utilize code graphs in semantic code search? - Yucen Shi; Ying Yin; Zhengkui Wang; David Lo 001; Tao Zhang 001; Xin Xia 001; Yuhai Zhao; Bowen Xu (ESEC/SIGSOFT FSE, 2022)

The most active community search in large temporal graphs. - Ling Li; Yuhai Zhao; Yuan Li 008; Fazal Wahab; Zhengkui Wang (Knowl. Based Syst., 2022)

Efficient Supervised Image Clustering Based on Density Division and Graph Neural Networks. - Qingchao Zhao; Long Li; Yan Chu 001; Zhen Yang; Zhengkui Wang; Wen Shan (Remote. Sens., 2022)

Distributed Density Peaks Clustering Revisited. - Jing Lu; Yuhai Zhao; Kian-Lee Tan; Zhengkui Wang (IEEE Trans. Knowl. Data Eng., 2022)

Robust Self-Supervised Multi-Instance Learning with Structure Awareness. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Meixia Wang (AAAI, 2023)

Image Segmentation with Vision-Language Models. - Lihu Pan 001; Yunting Yang; Zhengkui Wang; Rui Zhang 082; Wen Shan; Jiashu Li (CSAI, 2023)

BrandTrend: Understanding the Trending Games and Gaming Influencers for Better Gaming Peripheral Promotion. - Tan Wen Zheng Ashley; Lim Jo Han; Derrick; Kowit Tan; Rong Kai Tech Avin; Ashlinder Kaur; Sahar Al-Sudani; Zhengkui Wang (DeSE, 2023)

The Impact of the COVID-19 Pandemic on Retrenchment, Vaccinations, and Global Happiness. - Ng Wei Shen Jackson; Jullisha Sasikumar; Wong Yok Hung; Osama Rasheed Khan; Vivian Ng Zhi Hui; Sahar Al-Sudani; Huaqun Guo; Zhiyuan Zhang; Zhengkui Wang (DeSE, 2023)

Imbalanced Few-Shot Learning Based on Meta-transfer Learning. - Yan Chu 001; Xianghui Sun; Songhao Jiang; Tianwen Xie; Zhengkui Wang; Wen Shan (ICANN (8), 2023)

COCLEP: Contrastive Learning-based Semi-Supervised Community Search. - Ling Li; Siqiang Luo; Yuhai Zhao; Caihua Shan; Zhengkui Wang; Lu Qin 001 (ICDE, 2023)

Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. - Jing Lu; Yuhai Zhao; Zhengkui Wang; Guoren Wang (ICDE, 2023)

Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. - Songhao Jiang; Yan Chu 001; Zhengkui Wang; Tianxing Ma; Hanlin Wang; Wenxuan Lu; Tianning Zang; Bo Wang (IJCAI, 2023)

User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. - Haiyang Wang; Yan Chu 001; Hui Ning; Zhengkui Wang; Wen Shan (KSEM (3), 2023)

GALOPA: Graph Transport Learning with Optimal Plan Alignment. - Yejiang Wang; Yuhai Zhao; Daniel Zhengkui Wang; Ling Li (NeurIPS, 2023)

Efficient Community Search in Edge-Attributed Graphs. - Ling Li; Yuhai Zhao; Siqiang Luo; Guoren Wang; Zhengkui Wang (IEEE Trans. Knowl. Data Eng., 2023)

Limited-Supervised Multi-Label Learning with Dependency Noise. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Wen Shan; Xingwei Wang 001 (AAAI, 2024)

Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. - Yuan Li 008; Xiuxu Chen; Yuhai Zhao; Wen Shan; Zhengkui Wang; Guoli Yang; Guoren Wang (ICDE, 2024)

Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). - Ling Li; Yuhai Zhao; Siqiang Luo; Guoren Wang; Zhengkui Wang (ICDE, 2024)

Towards Robust Multi-Label Learning against Dirty Label Noise. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Meixia Wang; Min Huang 001; Xingwei Wang 001 (IJCAI, 2024)

Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data. - Lihu Pan 001; Xiaohua Li; Zhengkui Wang; Rui Zhang 082; Nan Yang; Wen Shan (IJCNN, 2024)

Meta-pruning: Learning to Prune on Few-Shot Learning. - Yan Chu 001; Keshi Liu; Songhao Jiang; Xianghui Sun; Baoxu Wang; Zhengkui Wang (KSEM (1), 2024)

Vicinal Data Augmentation for Classification Model via Feature Weaken. - Songhao Jiang; Yan Chu 001; Tianxing Ma; Xiaochen Miao; Zhengkui Wang; Tianning Zang (KSEM (1), 2024)

Open-Vocabulary And Multitask Image Segmentation. - Lihu Pan 001; Yunting Yang; Zhengkui Wang; Wen Shan; Jiali Yin (SAC, 2024)

Towards Accelerating Physics Informed Graph Neural Network for Fluid Simulation. - Yidi Wang; Frank Guan; Malcolm Yoke Hean Low; Zhengkui Wang; Aik Beng Ng; Simon See (SIGGRAPH Asia Posters, 2024)

SpeeDF - A Speech De-Identification Framework. - Chandra Sekar Veerappan; Priyanshu Dhingra; Daniel Zhengkui Wang; Rong Tong (TENCON, 2024)

Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing. - Zhengyi Kwan; Wei Zhang; Zhengkui Wang; Aik Beng Ng; Simon See (CoRR, 2024)

On-Device LLMs for SMEs: Challenges and Opportunities. - Jeremy Stephen Gabriel Yee; Pai Chet Ng; Zhengkui Wang; Ian McLoughlin; Aik Beng Ng; Simon See (CoRR, 2024)

HF-YOLO: Advanced Pedestrian Detection Model with Feature Fusion and Imbalance Resolution. - Lihu Pan 001; Jianzhong Diao; Zhengkui Wang; Shouxin Peng; Cunhui Zhao (Neural Process. Lett., 2024)

Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. - Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Chengqi Zhang; Xingwei Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Graph Contrastive Learning with Progressive Augmentations. - Yuhai Zhao; Yejiang Wang; Zhengkui Wang; Wen Shan; Miaomiao Huang; Xingwei Wang 001 (KDD (1), 2025)

Bi-directional supervised clustering via graph convolutional networks for very large categories of data. - Yang Xiao; Zhengkui Wang; Qingchao Zhao; Wen Shan; Yan Chu 001 (Inf. Sci., 2025)

Feature-based Graph Attention Networks Improve Online Continual Learning. - Adjovi Sim; Zhengkui Wang; Aik Beng Ng; Shalini De Mello; Simon See; Wonmin Byeon (CoRR, 2025)

Substitutability-Based Graph Node Pricing. - Huiju Wang; Yuanyuan Gao; Zhengkui Wang; Xiao Yue (CoRR, 2025)