NUS

The following is a list of publications from the project team.

Conference Publications

Formal Methods in Computer-Aided Design 2022

Suwei Yang, Victor Liang, Kuldeep S. Meel

Accepted for ACM Multimedia 2022 (10 - 14 Oct, 2022)

Wenmiao Hu, Yichen Zhang , Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann

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Accepted for 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-22, 14 Aug - 18 Aug, 2022)

Johan Kok Zhi Kang, Suwei Yang , Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He

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Accepted for ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022.

Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan.

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Accepted with Spotlight Presentation at Optimal Transport and Structured Data Modeling Workshop (OT-SDM), AAAI-22 (22 Feb - 1 Mar, 2022)

Yong Liang Goh, Wee Sun Lee, Xavier Bresson, Thomas Laurent, Nicholas Lim

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Accepted as full paper at IEEE Workshop on Applications of Computer Vision (WACV 2022). (4 Jan -8 Jan, 2022)

Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng

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Selected for publication as a short paper for ICDM IEEE 2021.

Muhammad Afif Ali, Suriyanarayanan Venkatesan, Victor Liang, and Hannes Kruppa

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Accepted as full paper at 29th ACM SigSpatial International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021). (2 Nov - 5 Nov, 2021)

Yifang Yin, An Tran, Ying Zhang, Wenmiao Hu, Guanfeng Wang, Jagannadan Varadarajan, Roger Zimmermann, See-Kiong Ng

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Accepted as poster paper at 29th ACM SigSpatial International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021). (2 Nov - 5 Nov, 2021)

Wenmiao Hu, Yifang Yin, Ying Kiat Tan, An Tran, Hannes Kruppa, Roger Zimmermann

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Accepted at ACM Sigmod 2021 Conference as a full research paper. (pp. 1014-1022), SIGMOD/PODS-21. (20 Jun - 25 Jun, 2021

Zhi Kang, J. K., Tan, S. Y., Cheng, F., Sun, S., & He, B.

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Accepted as full research paper at the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021). (8 Mar - 12 Mar, 2021)

Nicholas Lim, Bryan Hooi, See Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Rui Tan

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Proceedings of the VLDB Endowment, Volume 14 Issue 7, March 2021, pp 1150–1158

Tenindra Abeywickrama, Victor Liang, Kian-Lee Tan

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Accepted as full research paper at CIKM 2020 (19 Oct - 23 Oct, 2020)

Nicholas Lim, Bryan Hooi, See Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan

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SIGKDD International Workshop on Urban Computing (UrbComp) 2020

Xueou Wang, Yifang Yin, Bryan Hooi, See Kiong Ng, Wynne Hsu, Renrong Weng, Nicholas Lim, Rui Tan.

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In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI@SIGSPATIAL) pp36-39, Chicago, IL, USA, November 5, 2019. GeoAI 2019 Best Paper Award

Yifang Yin, Abhinav Sunderrajan, Xiaocheng Huang, Jagannadan Varadarajan, Guanfeng Wang, Dhruva Sahrawat, Ying Zhang, Roger Zimmermann, See-Kiong Ng

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Journals

VLDB Endowment, Volume 16, Number 3, 461-469, Nov 2022

Jiaxin Jiang, Yuan Li, Bingsheng He, Bryan Hooi, Jia Chen and Johan Kok Zhi Kang

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Under Review

ACM Transactions on Recommender Systems (TORS) 2023

Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan

Submitted to the 39th IEEE International Conference on Data Engineering (ICDE)

Yuan Xie, Kenli Li, Xu Zhou, Wangdong Yang, Roger Zimmermann , and Keqin Li

ACM TOMM

Wenmiao Hu, Yifang Yin, Ying Kiat Tan, An Tran, Hannes Kruppa, Roger Zimmermann

TSAS Best Papers Special Issue of the ACM SIGSPATIAL 2021. Volume 8 (Issue 3)

Yifang Yin, Wenmiao Hu, An Tran, Ying Zhang, Guanfeng Wang, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng

The 32nd International Joint Conference On Artificial Intelligence. IJCAI23

Suwei Yang, Victor Liang, Kuldeep S. Meel

KDD 2023

Johan Kok

Publications

Conference Publications

INC: A Scalable Incremental Weighted Sampler

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery

Dynamic Graph Segmentation For Deep Graph Neural Networks

Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem

A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection

TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting

Multimodal Fusion of Satellite Images and Crowdsourced GPS Traces for Robust Road Attribute Detection

GeoPalette: Road Segmentation with Limited Satellite Imagery

Efficient deep learning pipelines for accurate cost estimations over large scale query workload

Origin-Aware Next Destination Recommendation with Personalized Preference Attention

Optimizing bipartite matching in real-world applications by incremental cost computation

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation

Cross-Domain Customer Profiling: Mining Passengers’ Food Ordering Patterns From Transportation Habits

Multi-scale Graph Convolutional Network for Intersection Detection from GPS Trajectories

Journals

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs

Under Review

Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation

Trajectory-aware Task Coalition Assignment in Spatial Crowdsourcing

GAN-assisted Road Segmentation From Satellite Imagery

Multimodal Deep Learning for Robust Road Attribute Detection

Scalable Probabilistic Routes

Real Time Index and Search Across Large Quantities of GNN Experts For Low Latency Online Learning