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Heterogeneous Attentions for Solving Pickup and Delivery Problem via Deep Reinforcement Learning


Oct 06, 2021
Jingwen Li, Liang Xin, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

* This paper has been accepted at IEEE Transactions on Intelligent Transportation Systems 

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Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem


Oct 06, 2021
Jingwen Li, Yining Ma, Ruize Gao, Zhiguang Cao, Andrew Lim, Wen Song, Jie Zhang

* This paper has been accepted at IEEE Transactions on Cybernetics 

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PointBA: Towards Backdoor Attacks in 3D Point Cloud


Mar 30, 2021
Xinke Li, Zhiru Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou


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An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting


Sep 22, 2020
Chongshou Li, Brenda Cheang, Zhixing Luo, Andrew Lim

* ACM Transactions on Knowledge Discovery from Data 2020 
* Accepted by ACM Transactions on Knowledge Discovery from Data (ACM TKDD) 

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Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint


Aug 12, 2020
Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan


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Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene


Aug 11, 2020
Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang

* Proceedings of the 28th ACM International Conference on Multimedia 2020 
* Accepted by the 28th ACM International Conference on Multimedia (ACM MM 2020) 

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Directed Graph Convolutional Network


Apr 29, 2020
Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim


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On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks


Mar 10, 2020
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim

* This paper was accepted for presentation at CVPR2020 

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Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems


Dec 23, 2019
Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim


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Learning Improvement Heuristics for Solving the Travelling Salesman Problem


Dec 12, 2019
Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim

* 8 pages, 5 figures 

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Learning Robust Features using Deep Learning for Automatic Seizure Detection


Jul 31, 2016
Pierre Thodoroff, Joelle Pineau, Andrew Lim

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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A Tabu Search Algorithm for the Multi-period Inspector Scheduling Problem


Sep 17, 2014
Hu Qin, Zizhen Zhang, Yubin Xie, Andrew Lim


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An Enhanced Branch-and-bound Algorithm for the Talent Scheduling Problem


Jan 23, 2014
Zizhen Zhang, Hu Qin, Xiaocong Liang, Andrew Lim


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