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2020 – today
- 2024
[j6]Jinqi Li
, Bing Tian Dai, Yunyun Niu, Jianhua Xiao, Yaoxin Wu:
Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems. IEEE Trans. Intell. Transp. Syst. 25(11): 17831-17840 (2024)- [c23]Shengming Wang, Xiaocai Zhang, Jing Li, Xiaoyang Wei, Hoong Chuin Lau, Bing Tian Dai, Binbin Huang, Zhe Xiao, Xiuju Fu, Zheng Qin:
Fuel-Saving Route Planning with Data-Driven and Learning-Based Approaches - A Systematic Solution for Harbor Tugs. IJCAI 2024: 7483-7490 - 2023
- [j5]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): 177-198 (2023) - [c22]Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu:
Effective Graph Kernels for Evolving Functional Brain Networks. WSDM 2023: 150-158 - 2022
- [c21]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: 13188-13190 - [i3]Wen-Yan Lin, Siying Liu, Bing Tian Dai, Hongdong Li:
Distance Based Image Classification: A solution to generative classification's conundrum? CoRR abs/2210.01349 (2022) - 2021
- [j4]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): 92:1-92:18 (2021) - [i2]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 abs/2109.00799 (2021) - 2020
- [j3]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): 2287-2305 (2020) - [c20]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: 774-779
2010 – 2019
- 2019
- [c19]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: 7144-7151 - [c18]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: 6162-6167 - [c17]Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun:
Online Collaborative Filtering with Implicit Feedback. DASFAA (2) 2019: 433-448 - [c16]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: 730-743 - 2018
- [c15]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: 9-16 - [i1]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 abs/1808.07290 (2018) - 2016
- [c14]Bing Tian Dai, Kasthuri Jayarajah, Ee-Peng Lim, Archan Misra, Shriguru Nayak:
A study on Singapore haze. ICDCN 2016: 44:1-44:6 - 2015
- [c13]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: 173-184 - [c12]Wen-Haw Chong, Bing Tian Dai, Ee-Peng Lim:
Prediction of Venues in Foursquare Using Flipped Topic Models. ECIR 2015: 623-634 - [c11]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: 13-22 - 2013
- [j2]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): 1168-1183 (2013) - [c10]Bing Tian Dai, Hady Wirawan Lauw:
Modeling Preferences with Availability Constraints. ICDM 2013: 101-110 - [c9]Bing Tian Dai, Agus Trisnajaya Kwee, Ee-Peng Lim:
ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks. PAKDD (2) 2013: 49-60 - [e1]Adam Jatowt, Ee-Peng Lim, Ying Ding, Asako Miura, Taro Tezuka, Gaël Dias, Katsumi Tanaka, Andrew J. Flanagin, Bing Tian Dai:
Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings. Lecture Notes in Computer Science 8238, Springer 2013, ISBN 978-3-319-03259-7 [contents] - 2012
- [c8]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: 153-157 - [c7]Bing Tian Dai, Freddy Chong Tat Chua, Ee-Peng Lim:
Structural Analysis in Multi-Relational Social Networks. SDM 2012: 451-462 - 2011
- [c6]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: 181-192 - 2010
- [j1]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): 911-932 (2010)
2000 – 2009
- 2008
- [c5]Bing Tian Dai, Nick Koudas, Divesh Srivastava, Anthony K. H. Tung, Suresh Venkatasubramanian:
Validating Multi-column Schema Matchings by Type. ICDE 2008: 120-129 - [c4]Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung:
Estimating local optimums in EM algorithm over Gaussian mixture model. ICML 2008: 1240-1247 - 2006
- [c3]Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian:
Column Heterogeneity as a Measure of Data Quality. CleanDB 2006 - [c2]Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Suresh Venkatasubramanian:
Rapid Identification of Column Heterogeneity. ICDM 2006: 159-170 - [c1]Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung:
On the Lower Bound of Local Optimums in K-Means Algorithm. ICDM 2006: 775-786
Coauthor Index
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