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ORCIDZhengkui Wang
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- affiliation: Singapore Institute of Technology, InfoComm Technology Cluster, Singapore
- affiliation (PhD 2013): National University of Singapore, Singapore
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2020 – today
- 2024
[j10]Lihu Pan, Jianzhong Diao, Zhengkui Wang, Shouxin Peng, Cunhui Zhao:
HF-YOLO: Advanced Pedestrian Detection Model with Feature Fusion and Imbalance Resolution. Neural Process. Lett. 56(2): 90 (2024)- [j9]Yejiang Wang
, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang, Xingwei Wang:
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6509-6524 (2024) - [c45]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang:
Limited-Supervised Multi-Label Learning with Dependency Noise. AAAI 2024: 15662-15670 - [c44]Yuan Li, Xiuxu Chen, Yuhai Zhao, Wen Shan, Zhengkui Wang, Guoli Yang, Guoren Wang:
Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. ICDE 2024: 2765-2778 - [c43]Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). ICDE 2024: 5731-5732 - [c42]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang:
Towards Robust Multi-Label Learning against Dirty Label Noise. IJCAI 2024: 5581-5589 - [c41]Lihu Pan, Xiaohua Li, Zhengkui Wang, Rui Zhang, Nan Yang, Wen Shan:
Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data. IJCNN 2024: 1-8 - [c40]Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang:
Meta-pruning: Learning to Prune on Few-Shot Learning. KSEM (1) 2024: 74-85 - [c39]Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang:
Vicinal Data Augmentation for Classification Model via Feature Weaken. KSEM (1) 2024: 334-346 - [c38]Lihu Pan, Yunting Yang, Zhengkui Wang, Wen Shan, Jiali Yin:
Open-Vocabulary And Multitask Image Segmentation. SAC 2024: 1048-1049 - [i7]Zhengyi Kwan, Wei Zhang, Zhengkui Wang, Aik Beng Ng, Simon See:
Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing. CoRR abs/2406.01938 (2024) - [i6]Jeremy Stephen Gabriel Yee, Pai Chet Ng, Zhengkui Wang, Ian McLoughlin, Aik Beng Ng, Simon See:
On-Device LLMs for SMEs: Challenges and Opportunities. CoRR abs/2410.16070 (2024) - 2023
- [j8]Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang:
Efficient Community Search in Edge-Attributed Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10790-10806 (2023) - [c37]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang:
Robust Self-Supervised Multi-Instance Learning with Structure Awareness. AAAI 2023: 10218-10225 - [c36]Lihu Pan, Yunting Yang, Zhengkui Wang, Rui Zhang, Wen Shan, Jiashu Li:
Image Segmentation with Vision-Language Models. CSAI 2023: 233-238 - [c35]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:
The Impact of the COVID-19 Pandemic on Retrenchment, Vaccinations, and Global Happiness. DeSE 2023: 280-286 - [c34]Tan Wen Zheng Ashley, Lim Jo Han, Derrick, Kowit Tan, Rong Kai Tech Avin, Ashlinder Kaur, Sahar Al-Sudani, Zhengkui Wang:
BrandTrend: Understanding the Trending Games and Gaming Influencers for Better Gaming Peripheral Promotion. DeSE 2023: 540-545 - [c33]Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan:
Imbalanced Few-Shot Learning Based on Meta-transfer Learning. ICANN (8) 2023: 357-369 - [c32]Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin:
COCLEP: Contrastive Learning-based Semi-Supervised Community Search. ICDE 2023: 2483-2495 - [c31]Jing Lu, Yuhai Zhao, Zhengkui Wang, Guoren Wang:
Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. ICDE 2023: 2686-2698 - [c30]Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang:
Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. IJCAI 2023: 5085-5094 - [c29]Haiyang Wang, Yan Chu, Hui Ning, Zhengkui Wang, Wen Shan:
User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. KSEM (3) 2023: 370-382 - [c28]Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li:
GALOPA: Graph Transport Learning with Optimal Plan Alignment. NeurIPS 2023 - 2022
- [j7]Ling Li, Yuhai Zhao, Yuan Li, Fazal Wahab, Zhengkui Wang:
The most active community search in large temporal graphs. Knowl. Based Syst. 250: 109101 (2022) - [j6]Qingchao Zhao, Long Li, Yan Chu, Zhen Yang, Zhengkui Wang, Wen Shan:
Efficient Supervised Image Clustering Based on Density Division and Graph Neural Networks. Remote. Sens. 14(15): 3768 (2022) - [j5]Jing Lu, Yuhai Zhao, Kian-Lee Tan, Zhengkui Wang:
Distributed Density Peaks Clustering Revisited. IEEE Trans. Knowl. Data Eng. 34(8): 3714-3726 (2022) - [c27]Isfaque Al Kaderi Tuhin, Peter Loh, Zhengkui Wang:
Smart Cybercrime Classification for Digital Forensics with Small Datasets. CSCML 2022: 270-280 - [c26]Yan Chu, Jianpeng Guo, Wen Shan, Zhengkui Wang:
EfficientFCOS: An Efficient One-stage Object Detection Model based on FCOS. CSCWD 2022: 617-622 - [c25]Qingchao Zhao, Long Li, Yan Chu, Zhengkui Wang, Wen Shan:
Density Division Face Clustering Based on Graph Convolutional Networks. ICPR 2022: 5017-5023 - [c24]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:
ViCollAR: A Novel System for 3D Data Visualization using Collaborative Augmented Reality. ISMAR Adjunct 2022: 907-908 - [c23]Jinmin Xue, Shengdong Qu, Jingxian Li, Yan Chu, Zhengkui Wang:
TSC-GCN: A Face Clustering Method Based on GCN. KSEM (3) 2022: 260-271 - [c22]Yucen Shi, Ying Yin, Zhengkui Wang, David Lo, Tao Zhang, Xin Xia, Yuhai Zhao, Bowen Xu:
How to better utilize code graphs in semantic code search? ESEC/SIGSOFT FSE 2022: 722-733 - 2021
- [c21]Zhengkui Wang, Soumyadeb Chowdhury, Malcolm Yoke Hean Low, Wen Shan:
News Insider: Innovating News Understanding to Improve the Quality of Reading Experience. ACCC 2021: 122-126 - [c20]Jing Lu, Yuhai Zhao, Kian-Lee Tan, Zhengkui Wang:
Distributed Density Peaks Clustering Revisited (Extended Abstract). ICDE 2021: 2352-2353 - [c19]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang:
Multi-graph Multi-label Learning with Dual-granularity Labeling. KDD 2021: 2327-2337 - [c18]Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu, Wen Shan, Isfaque Al Kaderi Tuhin:
Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. KSEM 2021: 27-39 - [c17]Yan Chu, Zhengkui Wang, Lina Wang, Qingchao Zhao, Wen Shan:
Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion. KSEM 2021: 209-221 - [c16]Adrian Chan Feng Jun, Andrew Fong En Wei, Chua Wee Chye Ryan, Goh Qing Han, Jacob Abraham, Zhengkui Wang:
LionKeeper: Automatically Discovering Timely Cybercrime Dynamics in the Age of COVID-19. SOLI 2021: 1-6 - 2020
- [j4]Yan Chu, Xiao Yue, Quan Wang, Zhengkui Wang:
SecureAS: A Vulnerability Assessment System for Deep Neural Network Based on Adversarial Examples. IEEE Access 8: 109156-109167 (2020) - [j3]Yan Chu, Xiao Yue, Lei Yu, Mikhailov Sergei, Zhengkui Wang:
Automatic Image Captioning Based on ResNet50 and LSTM with Soft Attention. Wirel. Commun. Mob. Comput. 2020: 8909458:1-8909458:7 (2020) - [i5]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang:
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. CoRR abs/2012.10650 (2020)
2010 – 2019
- 2019
- [c15]Yan Chu, Shuhao Qi, Yue Yang, Chenqi Shan, Lina Wang, Zhengkui Wang:
An Attention-Based Recommendation Algorithm. ISPA/BDCloud/SocialCom/SustainCom 2019: 1505-1510 - [c14]Enhan Liu, Yan Chu, Lan Luan, Guang Li, Zhengkui Wang:
Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network. KSEM (1) 2019: 109-117 - [c13]Larry Ruohua Zhu, Jun Hong Tong, Malcolm Yoke Hean Low, Ben Hsin Lau, Mary Xiaorong Chen, Zhengkui Wang:
An Automated Staff Roster Planning System (SRPS) For Healthcare Industry. SNPD 2019: 167-172 - 2018
- [r1]Zhengkui Wang:
Graph OLAP. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [i4]Zhengkui Wang, Guangdong Bai, Soumyadeb Chowdhury, Quanqing Xu, Zhi Lin Seow:
TwiInsight: Discovering Topics and Sentiments from Social Media Datasets. CoRR abs/1705.08094 (2017) - [i3]Huiju Wang, Zhengkui Wang, Kian-Lee Tan, Chee-Yong Chan, Qi Fan, Xiao Yue:
VCExplorer: A Interactive Graph Exploration Framework Based on Hub Vertices with Graph Consolidation. CoRR abs/1709.06745 (2017) - 2016
- [c12]Zhengkui Wang, Yan Chu, Kian-Lee Tan, Divyakant Agrawal, Amr El Abbadi:
HaCube: Extending MapReduce for Efficient OLAP Cube Materialization and View Maintenance. DASFAA (2) 2016: 113-129 - [c11]Qi Fan, Zhengkui Wang, Chee-Yong Chan, Kian-Lee Tan:
Towards Neighborhood Window Analytics over Large-Scale Graphs. DASFAA (2) 2016: 201-217 - [c10]Yan Chu, Hongbin Wang, Liying Zheng, Zhengkui Wang, Kian-Lee Tan:
TRSO: A Tourism Recommender System Based on Ontology. KSEM 2016: 567-579 - [c9]Qian Lin, Pengfei Chang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Zhengkui Wang:
Towards a Non-2PC Transaction Management in Distributed Database Systems. SIGMOD Conference 2016: 1659-1674 - 2015
- [c8]Lei Yang, Yan Chu, Jianpei Zhang, Linlin Xia, Zhengkui Wang, Kian-Lee Tan:
Transfer learning over big data. ICDIM 2015: 63-68 - [c7]Lei Yang, Yan Chu, Guangyu Li, Xingmei Wang, Linlin Xia, Zhengkui Wang, Kian-Lee Tan:
A flexible and reliable recommendation algorithm in intelligent transportation system. ICDIM 2015: 229-233 - [c6]Yan Chu, Zhengkui Wang, Man Chen, Linlin Xia, Fengmei Wei, Mengnan Cai:
Transfer Learning in Large-Scale Short Text Analysis. KSEM 2015: 499-511 - [c5]Qian Lin, Beng Chin Ooi, Zhengkui Wang, Cui Yu:
Scalable Distributed Stream Join Processing. SIGMOD Conference 2015: 811-825 - [i2]Qi Fan, Zhengkui Wang, Chee-Yong Chan, Kian-Lee Tan:
Supporting Window Analytics over Large-scale Dynamic Graphs. CoRR abs/1510.07104 (2015) - 2014
- [c4]Zhengkui Wang, Qi Fan, Huiju Wang, Kian-Lee Tan, Divyakant Agrawal, Amr El Abbadi:
Pagrol: Parallel graph olap over large-scale attributed graphs. ICDE 2014: 496-507 - 2013
- [j2]Zhengkui Wang, Divyakant Agrawal, Kian-Lee Tan:
COSAC: A Framework for Combinatorial Statistical Analysis on Cloud. IEEE Trans. Knowl. Data Eng. 25(9): 2010-2023 (2013) - [i1]Zhengkui Wang, Yan Chu, Kian-Lee Tan, Divyakant Agrawal, Amr El Abbadi, Xiaolong Xu:
Scalable Data Cube Analysis over Big Data. CoRR abs/1311.5663 (2013) - 2011
- [j1]Zhengkui Wang, Yue Wang, Kian-Lee Tan, Limsoon Wong, Divyakant Agrawal:
eCEO: an efficient Cloud Epistasis cOmputing model in genome-wide association study. Bioinform. 27(8): 1045-1051 (2011) - [c3]Qian Xiao, Zhengkui Wang, Kian-Lee Tan:
LORA: Link Obfuscation by Randomization in Graphs. Secure Data Management 2011: 33-51 - 2010
- [c2]Zhengkui Wang, Yue Wang, Kian-Lee Tan, Limsoon Wong, Divyakant Agrawal:
CEO a cloud epistasis computing model in GWAS. BIBM 2010: 85-90
2000 – 2009
- 2008
- [c1]Hongpeng Wang, Zhengkui Wang:
The Embedded VSR System Design Based on ARM and Frequency Spectrum Analysis. PACIIA (2) 2008: 488-492
Coauthor Index
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last updated on 2024-11-27 20:33 CET by the dblp team
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