Bing Tian Dai

According to our database, Bing Tian Dai authored at least 30 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., November, 2024

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Effective Graph Kernels for Evolving Functional Brain Networks.

Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers.

Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A BERT-Based Two-Stage Model for Chinese Chengyu Recommendation.

Minghuan Tan, Jing Jiang, Bing Tian Dai

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

2020

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers.

Dongxiang Zhang, Lei Wang, Luming Zhang, Bing Tian Dai, Heng Tao Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Proceedings of the IEEE International Conference on Teaching, 2020

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

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Online Collaborative Filtering with Implicit Feedback.

Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun

Proceedings of the Database Systems for Advanced Applications, 2019

Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions.

Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Template-Based Math Word Problem Solvers with Recursive Neural Networks.

Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers.

Dongxiang Zhang, Lei Wang, Nuo Xu, Bing Tian Dai, Heng Tao Shen

CoRR, 2018

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

Proceedings of the IEEE International Conference on Teaching, 2018

2016

A study on Singapore haze.

Bing Tian Dai, Kasthuri Jayarajah, Ee-Peng Lim, Archan Misra, Shriguru Nayak

Proceedings of the 17th International Conference on Distributed Computing and Networking, 2016

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

Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Prediction of Venues in Foursquare Using Flipped Topic Models.

Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim

Proceedings of the Advances in Information Retrieval, 2015

Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors.

Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

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

ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks.

Bing Tian Dai, Agus Trisnajaya Kwee, Ee-Peng Lim

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Modeling Preferences with Availability Constraints.

Bing Tian Dai, Hady Wirawan Lauw

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Structural Analysis in Multi-Relational Social Networks.

Bing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Link Prediction for Bipartite Social Networks: The Role of Structural Holes.

Shuang Xia, Bing Tian Dai, Ee-Peng Lim, Yong Zhang, Chunxiao Xing

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Schema-as-you-go: on probabilistic tagging and querying of wide tables.

Meiyu Lu, Divyakant Agrawal, Bing Tian Dai, Anthony K. H. Tung

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010

Optimized algorithms for predictive range and KNN queries on moving objects.

Rui Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri Ramamohanarao

Inf. Syst., 2010

2008

Estimating local optimums in EM algorithm over Gaussian mixture model.

Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung

Proceedings of the Machine Learning, 2008

Validating Multi-column Schema Matchings by Type.

Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian

Proceedings of the 24th International Conference on Data Engineering, 2008

2006

On the Lower Bound of Local Optimums in K-Means Algorithm.

Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Rapid Identification of Column Heterogeneity.

Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Column Heterogeneity as a Measure of Data Quality.

Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian

Proceedings of the First Int'l VLDB Workshop on Clean Databases, 2006