Column Heterogeneity as a Measure of Data Quality. - Bing Tian Dai; Nick Koudas; Beng Chin Ooi; Divesh Srivastava; Suresh Venkatasubramanian (CleanDB, 2006)

Rapid Identification of Column Heterogeneity. - Bing Tian Dai; Nick Koudas; Beng Chin Ooi; Divesh Srivastava; Suresh Venkatasubramanian (ICDM, 2006)

On the Lower Bound of Local Optimums in K-Means Algorithm. - Zhenjie Zhang; Bing Tian Dai; Anthony K. H. Tung (ICDM, 2006)

Validating Multi-column Schema Matchings by Type. - Bing Tian Dai; Nick Koudas; Divesh Srivastava; Anthony K. H. Tung; Suresh Venkatasubramanian (ICDE, 2008)

Estimating local optimums in EM algorithm over Gaussian mixture model. - Zhenjie Zhang; Bing Tian Dai; Anthony K. H. Tung (ICML, 2008)

Optimized algorithms for predictive range and KNN queries on moving objects. - Rui Zhang 003; H. V. Jagadish; Bing Tian Dai; Kotagiri Ramamohanarao (Inf. Syst., 2010)

Schema-as-you-go: on probabilistic tagging and querying of wide tables. - Meiyu Lu; Divyakant Agrawal; Bing Tian Dai; Anthony K. H. Tung (SIGMOD Conference, 2011)

Link Prediction for Bipartite Social Networks: The Role of Structural Holes. - Shuang Xia; Bing Tian Dai; Ee-Peng Lim; Yong Zhang 002; Chunxiao Xing (ASONAM, 2012)

Structural Analysis in Multi-Relational Social Networks. - Bing Tian Dai; Freddy Chong Tat Chua; Ee-Peng Lim (SDM, 2012)

Modeling Preferences with Availability Constraints. - Bing Tian Dai; Hady Wirawan Lauw (ICDM, 2013)

ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks. - Bing Tian Dai; Agus Trisnajaya Kwee; Ee-Peng Lim (PAKDD (2), 2013)

UpSizeR: Synthetically scaling an empirical relational database. - Y. C. Tay; Bing Tian Dai; Daniel T. Wang; Eldora Y. Sun; Yong Lin; Yuting Lin (Inf. Syst., 2013)

Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors. - Wen-Haw Chong; Bing Tian Dai; Ee-Peng Lim (COSN, 2015)

Prediction of Venues in Foursquare Using Flipped Topic Models. - Wen-Haw Chong; Bing Tian Dai; Ee-Peng Lim (ECIR, 2015)

Did You Expect Your Users to Say This?: Distilling Unexpected Micro-reviews for Venue Owners. - Wen-Haw Chong; Bing Tian Dai; Ee-Peng Lim (HT, 2015)

A study on Singapore haze. - Bing Tian Dai; Kasthuri Jayarajah; Ee-Peng Lim; Archan Misra; Shriguru Nayak (ICDCN, 2016)

Can I See Beyond What You See? Blending Machine Learning and Econometrics to Discover Household TV Viewing Preferences. - Zhuolun Li; Robert J. Kauffman; Bingtian Dai (HICSS, 2017)

Integrated Telegram and Web-based Forum with Automatic Assessment of Questions and Answers for Collaborative Learning. - Michelle L. F. Cheong; Jean Y.-C. Chen; Bing Tian Dai (TALE, 2018)

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. - Dongxiang Zhang; Lei Wang 185; Nuo Xu; Bing Tian Dai; Heng Tao Shen (CoRR, 2018)

Template-Based Math Word Problem Solvers with Recursive Neural Networks. - Lei Wang 185; Dongxiang Zhang; Jipeng Zhang; Xing Xu 001; Lianli Gao; Bing Tian Dai; Heng Tao Shen (AAAI, 2019)

Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions. - Jierui Li; Lei Wang 185; Jipeng Zhang; Yan Wang 060; Bing Tian Dai; Dongxiang Zhang (ACL (1), 2019)

Online Collaborative Filtering with Implicit Feedback. - Jianwen Yin; Chenghao Liu; Jundong Li; Bing Tian Dai; Yun-chen Chen; Min Wu 008; Jianling Sun (DASFAA (2), 2019)

An Intelligent Platform with Automatic Assessment and Engagement Features for Active Online Discussions. - Michelle L. F. Cheong; Jean Y.-C. Chen; Bing Tian Dai (IEA/AIE, 2019)

Analysis of online posts to discover student learning challenges and inform targeted curriculum improvement actions. - Michelle L. F. Cheong; Jean Y.-C. Chen; Bing Tian Dai (TALE, 2020)

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. - Dongxiang Zhang; Lei Wang 185; Luming Zhang; Bing Tian Dai; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

A BERT-Based Two-Stage Model for Chinese Chengyu Recommendation. - Minghuan Tan; Jing Jiang 001; Bing Tian Dai (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. - Yihuai Lan; Lei Wang 185; Qiyuan Zhang; Yunshi Lan; Bing Tian Dai; Yan Wang 060; Dongxiang Zhang; Ee-Peng Lim (AAAI, 2022)

Effective Graph Kernels for Evolving Functional Brain Networks. - Xinlei Wang; Jinyi Chen; Bing Tian Dai; Junchang Xin; Yu Gu 002; Ge Yu 001 (WSDM, 2023)

Distance Based Image Classification: A solution to generative classification's conundrum? - Wen-Yan Lin; Siying Liu; Bing Tian Dai; Hongdong Li (Int. J. Comput. Vis., 2023)

Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs. - Shengming Wang; Xiaocai Zhang; Jing Li; Xiaoyang Wei; Hoong Chuin Lau; Bing Tian Dai; Binbin Huang; Zhe Xiao; Xiuju Fu; Zheng Qin 004 (IJCAI, 2024)

Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination. - Qi Shen 002; Junchang Xin; Bing Tian Dai; Shudi Zhang; Zhiqiong Wang (NeurIPS, 2024)

Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction. - Brindha Priyadarshini Jeyaraman; Bing Tian Dai; Yuan Fang 001 (Mach. Learn. Knowl. Extr., 2024)

Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems. - Jinqi Li; Bing Tian Dai; Yunyun Niu; Jianhua Xiao; Yaoxin Wu (IEEE Trans. Intell. Transp. Syst., 2024)

Label correlated contrastive learning for medical report generation. - Xinyao Liu; Junchang Xin; Bingtian Dai; Qi Shen 002; Zhihong Huang; Zhiqiong Wang (Comput. Methods Programs Biomed., 2025)

LLMATCH: A Unified Schema Matching Framework with Large Language Models. - Sha Wang; Yuchen Li 001; Hanhua Xiao; Bing Tian Dai; Roy Ka-Wei Lee; Yanfei Dong; Lambert Deng (CoRR, 2025)