| 2026 | ACL | Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning. | Fang Niu, Chaokun Wang, Hang Zhang, Songyao Wang |
| 2026 | WWW | What Should I Cite? A RAG Benchmark for Academic Citation Prediction. | Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu |
| 2026 | SIGIR | MonacGraph: A Monadic Second-Order Logic Extended Graph Database System with Community-Aware Storage. | Yuntao Jin, Songyao Wang, Chaokun Wang |
| 2025 | AAAI | Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. | Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang |
| 2025 | ACL | TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion. | Ziyang Liu, Chaokun Wang |
| 2025 | ACL | Adaptive and Robust Translation from Natural Language to Multi-model Query Languages. | Gengyuan Shi, Chaokun Wang, Yabin Liu, Jiawei Ren |
| 2025 | EMNLP | LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation. | Leqi Zheng, Chaokun Wang, Canzhi Chen, Jiajun Zhang, Cheng Wu, Zixin Song, Shannan Yan, Ziyang Liu, Hongwei Li |
| 2025 | ICDE | Efficient Unsupervised Graph Embedding with Attributed Graph Reduction and Dual-Level Loss: (Extended Abstract). | Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen |
| 2025 | ICDE | RAISIN: A Parallel Subgraph Matching Tool Exploiting Community Structures in Social Networks. | Songyao Wang, Chaokun Wang |
| 2025 | ICDE | LSM-Community: A Graph Storage System Exploiting Community Structure in Social Networks. | Songyao Wang, Chaokun Wang, Fang Niu, Cheng Wu |
| 2025 | ICDE | Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention. | Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng |
| 2025 | ICML | What Makes In-context Learning Effective for Mathematical Reasoning. | Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai, Enhong Chen |
| 2025 | SIGIR | Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning. | Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li |
| 2024 | APWEB | Table Embedding Models Based on Contrastive Learning for Improved Cardinality Estimation. | Hongwei Li, Chaokun Wang, Ziyang Liu |
| 2024 | ER | ECQL: Towards Succinct and Extensible Modeling of Multi-model Query Results. | Gengyuan Shi, Chaokun Wang, Yabin Liu |
| 2024 | ICDE | GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. | Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan |
| 2024 | ICDE | Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. | Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song |
| 2024 | ICDE | FONT: A Flexible Polystore Evaluation Platform. | Gengyuan Shi, Chaokun Wang, Minghao Zhang, Binbin Wang |
| 2024 | ICDE | Temporal Graph Generation Featuring Time-Bound Communities. | Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang |
| 2024 | IJCAI | Graph Contrastive Learning with Reinforcement Augmentation. | Ziyang Liu, Chaokun Wang, Cheng Wu |
| 2024 | WWW | Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. | Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai |
| 2023 | ICDE | Fast Unsupervised Graph Embedding via Graph Zoom Learning. | Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng |
| 2023 | ICDE | Data Dependencies Extended for Variety and Veracity: A Family Tree (Extended abstract). | Shaoxu Song, Fei Gao, Ruihong Huang, Chaokun Wang |
| 2023 | ICDE | Instant Representation Learning for Recommendation over Large Dynamic Graphs. | Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou |
| 2023 | KDD | Graph Contrastive Learning with Generative Adversarial Network. | Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai |
| 2023 | SIGIR | Multi-behavior Self-supervised Learning for Recommendation. | Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai |
| 2022 | EMNLP | Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. | Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang |
| 2022 | ICDE | HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. | Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song |
| 2022 | ICDE | Conditional Regression Rules. | Rui Kang, Shaoxu Song, Chaokun Wang |
| 2021 | DASFAA | UniTest: A Universal Testing Framework for Database Management Systems. | Gengyuan Shi, Chaokun Wang, Bingyang Huang, Hao Feng, Binbin Wang |
| 2021 | DASFAA | Expanding Semantic Knowledge for Zero-Shot Graph Embedding. | Zheng Wang, Ruihang Shao, Changping Wang, Changjun Hu, Chaokun Wang, Zhiguo Gong |
| 2021 | ICDE | FastSGG: Efficient Social Graph Generation Using a Degree Distribution Generation Model. | Chaokun Wang, Binbin Wang, Bingyang Huang, Shaoxu Song, Zai Li |
| 2021 | WWW | FastSNG: The Fastest Social Network Dataset Generator. | Binbin Wang, Chaokun Wang, Hao Feng |
| 2020 | ICDE | Adaptive Relation Discovery from Focusing Seeds on Large Networks. | Zhuo Wang, Chaokun Wang, Weiping Wang, Xiaoyan Gu, Bo Li, Dan Meng |
| 2020 | ICDE | GraphAE: Adaptive Embedding across Graphs. | Bencheng Yan, Chaokun Wang |
| 2020 | KDD | TinyGNN: Learning Efficient Graph Neural Networks. | Bencheng Yan, Chaokun Wang, Gaoyang Guo, Yunkai Lou |
| 2019 | AAAI | Community Focusing: Yet Another Query-Dependent Community Detection. | Zhuo Wang, Weiping Wang, Chaokun Wang, Xiaoyan Gu, Bo Li, Dan Meng |
| 2019 | AAAI | Forbidden Nodes Aware Community Search. | Chaokun Wang, Junchao Zhu |
| 2019 | ICDE | OSMAC: Optimizing Subgraph Matching Algorithms with Community Structure. | Yunkai Lou, Chaokun Wang |
| 2019 | ICDE | DeepDirect: Learning Directions of Social Ties with Edge-Based Network Embedding (Extended Abstract). | Chaokun Wang, Changping Wang, Zheng Wang, Xiaojun Ye, Jeffrey Xu Yu, Bin Wang |
| 2019 | ICONIP | NEOKNN: A Network Embedding Method Only Knowing Neighbor Nodes. | Bencheng Yan, Chaokun Wang |
| 2018 | AAAI | RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-Imbalanced Labels for Network Embedding. | Zheng Wang, Xiaojun Ye, Chaokun Wang, Yuexin Wu, Changping Wang, Kaiwen Liang |
| 2018 | ICDE | Efficient Computation of G-Skyline Groups (Extended Abstract). | Changping Wang, Chaokun Wang, Gaoyang Guo, Xiaojun Ye, Philip S. Yu |
| 2018 | WWW | Which Algorithm Performs Best: Algorithm Selection for Community Detection. | Gaoyang Guo, Chaokun Wang, Xiang Ying |
| 2017 | AAAI | Multiple Source Detection without Knowing the Underlying Propagation Model. | Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye |
| 2017 | DASFAA | Learning the Structures of Online Asynchronous Conversations. | Jun Chen, Chaokun Wang, Heran Lin, Weiping Wang, Zhipeng Cai, Jianmin Wang |
| 2017 | ICDE | Recommendation for Repeat Consumption from User Implicit Feedback. | Jun Chen, Chaokun Wang, Jianmin Wang, Philip S. Yu |
| 2016 | APWEB | Preference Join on Heterogeneous Data. | Changping Wang, Chaokun Wang, Hao Wang, Jun Chen, Xiaojun Ye |
| 2016 | IJCAI | Causality Based Propagation History Ranking in Social Networks. | Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye, Philip S. Yu |
| 2016 | SIGMOD | CoDAR: Revealing the Generalized Procedure & Recommending Algorithms of Community Detection. | Xiang Ying, Chaokun Wang, Meng Wang, Jeffrey Xu Yu, Jun Zhang |
| 2015 | AAAI | CrowdMR: Integrating Crowdsourcing with MapReduce for AI-Hard Problems. | Jun Chen, Chaokun Wang, Yiyuan Bai |
| 2015 | AAAI | A Personalized Interest-Forgetting Markov Model for Recommendations. | Jun Chen, Chaokun Wang, Jianmin Wang |
| 2015 | AAAI | Will You "Reconsume" the Near Past? Fast Prediction on Short-Term Reconsumption Behaviors. | Jun Chen, Chaokun Wang, Jianmin Wang |
| 2015 | DASFAA | MAVis: A Multiple Microblogs Analysis and Visualization Tool. | Changping Wang, Chaokun Wang, Jingchao Hao, Hao Wang, Xiaojun Ye |
| 2014 | AAAI | Learning Temporal Dynamics of Behavior Propagation in Social Networks. | Jun Zhang, Chaokun Wang, Jianmin Wang |
| 2014 | CIKM | CoDEM: An Ingenious Tool of Insight into Community Detection in Social Networks. | Meng Wang, Chaokun Wang, Jun Chen |
| 2014 | MMM | RESIC: A Tool for Music Stretching Resistance Estimation. | Jun Chen, Chaokun Wang |
| 2014 | WWW | Who proposed the relationship?: recovering the hidden directions of undirected social networks. | Jun Zhang, Chaokun Wang, Jianmin Wang |
| 2013 | APWEB | Uncertain Subgraph Query Processing over Uncertain Graphs. | Wenjing Ruan, Chaokun Wang, Lu Han, Zhuo Peng, Yiyuan Bai |
| 2013 | KDD | LAFT-Explorer: inferring, visualizing and predicting how your social network expands. | Jun Zhang, Chaokun Wang, Yuanchi Ning, Yichi Liu, Jianmin Wang, Philip S. Yu |
| 2013 | WWW | G-path: flexible path pattern query on large graphs. | Yiyuan Bai, Chaokun Wang, Yuanchi Ning, Hanzhao Wu, Hao Wang |
| 2013 | SIGIR | Learning latent friendship propagation networks with interest awareness for link prediction. | Jun Zhang, Chaokun Wang, Philip S. Yu, Jianmin Wang |
| 2013 | WSDM | LaFT-tree: perceiving the expansion trace of one's circle of friends in online social networks. | Jun Zhang, Chaokun Wang, Jianmin Wang, Philip S. Yu |
| 2012 | APWEB | A Software Watermark Based Architecture for Cloud Security. | Pengfei Dai, Chaokun Wang, Zhiwei Yu, Yongsheng Yue, Jianmin Wang |
| 2012 | APWEB | Discovering the Most Potential Stars in Social Networks with Infra-skyline Queries. | Zhuo Peng, Chaokun Wang, Lu Han, Jingchao Hao, Xiaoping Ou |
| 2011 | APWEB | Batch Text Similarity Search with MapReduce. | Rui Li, Li Ju, Zhuo Peng, Zhiwei Yu, Chaokun Wang |
| 2011 | APWEB | Music Review Classification Enhanced by Semantic Information. | Wei Zheng, Chaokun Wang, Rui Li, Xiaoping Ou, Weijun Chen |
| 2011 | CIKM | Using random walks for multi-label classification. | Chaokun Wang, Wei Zheng, Zhang Liu, Yiyuan Bai, Jianmin Wang |
| 2011 | DASC | SkyBoundary: An Improved Approach to Member Promotion in Social Networks. | Zhuo Peng, Chaokun Wang, Fangbo Tao, Lu Han |
| 2010 | APWEB | Phosphor: A Cloud Based DRM Scheme with Sim Card. | Peng Zou, Chaokun Wang, Zhang Liu, Dalei Bao |
| 2010 | CCS | A cloud based SIM DRM scheme for the mobile internet. | Peng Zou, Chaokun Wang, Zhang Liu, Jianmin Wang, Jia-Guang Sun |
| 2010 | WWW | Structure-aware music resizing using lyrics. | Zhang Liu, Chaokun Wang, Jianmin Wang, Wei Zheng, Shengfei Shi |
| 2010 | SIGMOD | MapDupReducer: detecting near duplicates over massive datasets. | Chaokun Wang, Jianmin Wang, Xuemin Lin, Wei Wang, Haixun Wang, Hongsong Li, Wanpeng Tian, Jun Xu, Rui Li |
| 2009 | APSCC | A label-free similarity measure between workflow nets. | Haiping Zha, Jianmin Wang, Lijie Wen, Chaokun Wang |
| 2007 | MMM | MuSQL: A Music Structured Query Language. | Chaokun Wang, Jianmin Wang, Jianzhong Li, Jia-Guang Sun, Shengfei Shi |
| 2006 | ICCS | Missing Values Estimation in Microarray Data with Partial Least Squares Regression. | Kun Yang, Jianzhong Li, Chaokun Wang |
| 2004 | APWEB | Cell Abstract Indices for Content-Based Approximate Query Processing in Structured Peer-to-Peer Data Systems. | Chaokun Wang, Jianzhong Li, Shengfei Shi |
| 2004 | MMM | A Music Data Model and its Application. | Chaokun Wang, Jianzhong Li, Shengfei Shi |