Zhengkui Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
22
Active years
2014–2026
Best venue rank
A*
Where they publish
- CKSEM9 papers
- A*ICDE6 papers
- A*AAAI5 papers
- A*ACL2 papers
- A*WWW2 papers
- ACIKM2 papers
- CICANN2 papers
- A*ICML2 papers
- A*KDD2 papers
- A*IJCAI2 papers
- CDeSE2 papers
- BDASFAA2 papers
- A*SIGMOD2 papers
- NationalISKE1 paper
- BIJCNN1 paper
- MulticonferenceSAC1 paper
- A*SiggraphA1 paper
- CCSCWD1 paper
- BICPR1 paper
- A*ISMAR1 paper
- CISPA1 paper
- CSNPD1 paper
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Multi-graph Fusion Cross-model Contrastive Learning for Recommendation. | Shengjun Ma, Yuhai Zhao, Fenglong Ma, Baoyin Liu, Zhengkui Wang, Wen Shan |
| 2026 | AAAI | When Equal Isn't Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract). | Ravada Satyadev, Aditya Ganesh Kumar, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang, Mukesh Prasad |
| 2026 | AAAI | Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification. | Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang, Fenglong Ma, Fazal Wahab, Wen Shan, Xingwei Wang |
| 2026 | ACL | IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning. | Navya Gupta, Rishitej Reddy Vyalla, Avinash Anand, Chhavi Kirtani, Erik Cambria, Zhengchen Zhang, Zhengkui Wang, Timothy Liu, Aik Beng Ng, Simon See, Rajiv Ratn Shah |
| 2026 | ACL | Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size. | Dikshant Kukreja, Kshitij Sah, Gautam Gupta, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang, Aik Beng Ng, Erik Cambria |
| 2026 | ISKE | Cross-Domain Generalization in Audio Deepfake Detection: A Probing Study with Heterogeneous Audio Embeddings. | Swetha Krishna Sriram, Chun Cin Ng, Akshitaa Sahoo, Dheeraj Arora, Xing Zi, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang, Angela Huo, Mukesh Prasad |
| 2026 | WWW | Graph-to-Tree: Topological Decomposition for Self-Supervised Learning. | Yejiang Wang, Yuhai Zhao, Fangting Li, Jiapu Wang, Meixia Wang, Ling Li, Miaomiao Huang, Zhengkui Wang, Shirui Pan |
| 2026 | WWW | Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning. | Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan, Xingwei Wang |
| 2025 | CIKM | Discovering Group Collapser for Network Resilience. | Guozhang Sun, Haoyuan Wang, Yuhai Zhao, Zhengkui Wang, Yuan Li, Xingwei Wang |
| 2025 | CIKM | Hybrid | Chu Zhao, Shengjie Dong, Yuhai Zhao, Yuan Li, Zhengkui Wang, Xingwei Wang |
| 2025 | ICANN | Supervised Feature Selection with Class Self-representation. | Bo Peng, Yan Chu, Baihan Jing, Xu Huang, Zhengkui Wang, Zhong Chu |
| 2025 | ICML | Equivalence is All: A Unified View for Self-supervised Graph Learning. | Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang |
| 2025 | ICML | N2GON: Neural Networks for Graph-of-Net with Position Awareness. | Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang |
| 2025 | KDD | Graph Contrastive Learning with Progressive Augmentations. | Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Xingwei Wang |
| 2024 | AAAI | Limited-Supervised Multi-Label Learning with Dependency Noise. | Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang |
| 2024 | ICDE | Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. | Yuan Li, Xiuxu Chen, Yuhai Zhao, Wen Shan, Zhengkui Wang, Guoli Yang, Guoren Wang |
| 2024 | ICDE | Efficient Community Search in Edge-Attributed Graphs (Extended Abstract). | Ling Li, Yuhai Zhao, Siqiang Luo, Guoren Wang, Zhengkui Wang |
| 2024 | IJCAI | Towards Robust Multi-Label Learning against Dirty Label Noise. | Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang |
| 2024 | IJCNN | Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data. | Lihu Pan, Xiaohua Li, Zhengkui Wang, Rui Zhang, Nan Yang, Wen Shan |
| 2024 | KSEM | Meta-pruning: Learning to Prune on Few-Shot Learning. | Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang |
| 2024 | KSEM | Vicinal Data Augmentation for Classification Model via Feature Weaken. | Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang |
| 2024 | SAC | Open-Vocabulary And Multitask Image Segmentation. | Lihu Pan, Yunting Yang, Zhengkui Wang, Wen Shan, Jiali Yin |
| 2024 | SiggraphA | 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 |
| 2023 | AAAI | Robust Self-Supervised Multi-Instance Learning with Structure Awareness. | Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang |
| 2023 | DeSE | 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 |
| 2023 | DeSE | 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 |
| 2023 | ICANN | Imbalanced Few-Shot Learning Based on Meta-transfer Learning. | Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan |
| 2023 | ICDE | COCLEP: Contrastive Learning-based Semi-Supervised Community Search. | Ling Li, Siqiang Luo, Yuhai Zhao, Caihua Shan, Zhengkui Wang, Lu Qin |
| 2023 | ICDE | Skyline Micro-Cluster Query: A Novel and Practical Spatial Query. | Jing Lu, Yuhai Zhao, Zhengkui Wang, Guoren Wang |
| 2023 | IJCAI | Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation. | Songhao Jiang, Yan Chu, Zhengkui Wang, Tianxing Ma, Hanlin Wang, Wenxuan Lu, Tianning Zang, Bo Wang |
| 2023 | KSEM | User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. | Haiyang Wang, Yan Chu, Hui Ning, Zhengkui Wang, Wen Shan |
| 2022 | CSCWD | EfficientFCOS: An Efficient One-stage Object Detection Model based on FCOS. | Yan Chu, Jianpeng Guo, Wen Shan, Zhengkui Wang |
| 2022 | ICPR | Density Division Face Clustering Based on Graph Convolutional Networks. | Qingchao Zhao, Long Li, Yan Chu, Zhengkui Wang, Wen Shan |
| 2022 | ISMAR | 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 |
| 2022 | KSEM | TSC-GCN: A Face Clustering Method Based on GCN. | Jinmin Xue, Shengdong Qu, Jingxian Li, Yan Chu, Zhengkui Wang |
| 2021 | ICDE | Distributed Density Peaks Clustering Revisited (Extended Abstract). | Jing Lu, Yuhai Zhao, Kian-Lee Tan, Zhengkui Wang |
| 2021 | KDD | Multi-graph Multi-label Learning with Dual-granularity Labeling. | Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang |
| 2021 | KSEM | Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion. | Yan Chu, Zhengkui Wang, Lina Wang, Qingchao Zhao, Wen Shan |
| 2021 | KSEM | Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. | Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu, Wen Shan, Isfaque Al Kaderi Tuhin |
| 2019 | ISPA | An Attention-Based Recommendation Algorithm. | Yan Chu, Shuhao Qi, Yue Yang, Chenqi Shan, Lina Wang, Zhengkui Wang |
| 2019 | KSEM | Mixing-RNN: A Recommendation Algorithm Based on Recurrent Neural Network. | Enhan Liu, Yan Chu, Lan Luan, Guang Li, Zhengkui Wang |
| 2019 | SNPD | 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 |
| 2016 | DASFAA | Towards Neighborhood Window Analytics over Large-Scale Graphs. | Qi Fan, Zhengkui Wang, Chee-Yong Chan, Kian-Lee Tan |
| 2016 | DASFAA | HaCube: Extending MapReduce for Efficient OLAP Cube Materialization and View Maintenance. | Zhengkui Wang, Yan Chu, Kian-Lee Tan, Divyakant Agrawal, Amr El Abbadi |
| 2016 | KSEM | TRSO: A Tourism Recommender System Based on Ontology. | Yan Chu, Hongbin Wang, Liying Zheng, Zhengkui Wang, Kian-Lee Tan |
| 2016 | SIGMOD | Towards a Non-2PC Transaction Management in Distributed Database Systems. | Qian Lin, Pengfei Chang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Zhengkui Wang |
| 2015 | KSEM | Transfer Learning in Large-Scale Short Text Analysis. | Yan Chu, Zhengkui Wang, Man Chen, Linlin Xia, Fengmei Wei, Mengnan Cai |
| 2015 | SIGMOD | Scalable Distributed Stream Join Processing. | Qian Lin, Beng Chin Ooi, Zhengkui Wang, Cui Yu |
| 2014 | ICDE | Pagrol: Parallel graph olap over large-scale attributed graphs. | Zhengkui Wang, Qi Fan, Huiju Wang, Kian-Lee Tan, Divyakant Agrawal, Amr El Abbadi |