Bing Tian Dai

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 14

Top Topics

Student Learning

Recursive Neural Networks

Online Discussion

Top Venues

Publications

Wen-Yan Lin, Siying Liu, Bing Tian Dai, Hongdong Li
Distance Based Image Classification: A solution to generative classification's conundrum? Int. J. Comput. Vis. 131 (1) (2023)
Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu
Effective Graph Kernels for Evolving Functional Brain Networks. WSDM (2023)
Wen-Yan Lin, Siying Liu, Bing Tian Dai, Hongdong Li
Distance Based Image Classification: A solution to generative classification's conundrum? CoRR (2022)
Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. AAAI (2022)
Minghuan Tan, Jing Jiang, Bing Tian Dai
A BERT-Based Two-Stage Model for Chinese Chengyu Recommendation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (6) (2021)
Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. CoRR (2021)
Dongxiang Zhang, Lei Wang, Luming Zhang, Bing Tian Dai, Heng Tao Shen
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. IEEE Trans. Pattern Anal. Mach. Intell. 42 (9) (2020)
Michelle L. F. Cheong, Jean Y.-C. Chen, Bing Tian Dai
Analysis of online posts to discover student learning challenges and inform targeted curriculum improvement actions. TALE (2020)
Michelle L. F. Cheong, Jean Y.-C. Chen, Bing Tian Dai
An Intelligent Platform with Automatic Assessment and Engagement Features for Active Online Discussions. IEA/AIE (2019)
Lei Wang, Dongxiang Zhang, Jipeng Zhang, Xing Xu, Lianli Gao, Bing Tian Dai, Heng Tao Shen
Template-Based Math Word Problem Solvers with Recursive Neural Networks. AAAI (2019)
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bing Tian Dai, Dongxiang Zhang
Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions. ACL (1) (2019)
Dongxiang Zhang, Lei Wang, Nuo Xu, Bing Tian Dai, Heng Tao Shen
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers. CoRR (2018)
Michelle L. F. Cheong, Jean Y.-C. Chen, Bing Tian Dai
Integrated Telegram and Web-based Forum with Automatic Assessment of Questions and Answers for Collaborative Learning. TALE (2018)
Bing Tian Dai, Kasthuri Jayarajah, Ee-Peng Lim, Archan Misra, Shriguru Nayak
A study on Singapore haze. ICDCN (2016)
Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim
Not All Trips are Equal: Analyzing Foursquare Check-ins of Trips and City Visitors. COSN (2015)
Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim
Prediction of Venues in Foursquare Using Flipped Topic Models. ECIR (2015)
Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim
Did You Expect Your Users to Say This?: Distilling Unexpected Micro-reviews for Venue Owners. HT (2015)
Y. C. Tay, Bing Tian Dai, Daniel T. Wang, Eldora Y. Sun, Yong Lin, Yuting Lin
UpSizeR: Synthetically scaling an empirical relational database. Inf. Syst. 38 (8) (2013)
Bing Tian Dai, Agus Trisnajaya Kwee, Ee-Peng Lim
ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks. PAKDD (2) (2013)
Bing Tian Dai, Hady Wirawan Lauw
Modeling Preferences with Availability Constraints. ICDM (2013)
Shuang Xia, Bing Tian Dai, Ee-Peng Lim, Yong Zhang, Chunxiao Xing
Link Prediction for Bipartite Social Networks: The Role of Structural Holes. ASONAM (2012)
Bing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim
Structural Analysis in Multi-Relational Social Networks. SDM (2012)
Meiyu Lu, Divyakant Agrawal, Bing Tian Dai, Anthony K. H. Tung
Schema-as-you-go: on probabilistic tagging and querying of wide tables. SIGMOD Conference (2011)
Rui Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri Ramamohanarao
Optimized algorithms for predictive range and KNN queries on moving objects. Inf. Syst. 35 (8) (2010)
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
Estimating local optimums in EM algorithm over Gaussian mixture model. ICML (2008)
Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian
Validating Multi-column Schema Matchings by Type. ICDE (2008)
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
Rapid Identification of Column Heterogeneity. ICDM (2006)
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
On the Lower Bound of Local Optimums in K-Means Algorithm. ICDM (2006)
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian
Column Heterogeneity as a Measure of Data Quality. CleanDB (2006)