IR
Anthology
Community
Chao
Huang
2025
doi
dblp
Urban Computing in the Era of Large Language Models.
Zhonghang Li
|
Lianghao Xia
|
Xubin Ren
|
Jiabin Tang
|
Tianyi Chen
|
Yong Xu
|
Chao Huang
ACM Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 6
doi
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Pre-training for Recommendation Unlearning.
Guoxuan Chen
|
Lianghao Xia
|
Chao Huang
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
doi
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LightGNN: Simple Graph Neural Network for Recommendation.
Guoxuan Chen
|
Lianghao Xia
|
Chao Huang
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
doi
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DiffGraph: Heterogeneous Graph Diffusion Model.
Zongwei Li
|
Lianghao Xia
|
Hua Hua
|
Shijie Zhang
|
Shuangyang Wang
|
Chao Huang
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
doi
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MixRec: Heterogeneous Graph Collaborative Filtering.
Lianghao Xia
|
Meiyan Xie
|
Yong Xu
|
Chao Huang
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
2024
doi
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MHGCN+: Multiplex Heterogeneous Graph Convolutional Network.
Chaofan Fu
|
Pengyang Yu
|
Yanwei Yu
|
Chao Huang
|
Zhongying Zhao
|
Junyu Dong
ACM Transactions on Intelligent Systems and Technology (TIST) 2024 Volume 15 Issue 3
doi
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MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation.
Shuzhe Li
|
Wei Chen
|
Bin Wang
|
Chao Huang
|
Yanwei Yu
|
Junyu Dong
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 4
doi
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RecDiff: Diffusion Model for Social Recommendation.
Zongwei Li
|
Lianghao Xia
|
Chao Huang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi
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EasyST: A Simple Framework for Spatio-Temporal Prediction.
Jiabin Tang
|
Wei Wei
|
Lianghao Xia
|
Chao Huang
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi
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SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation.
Yuxi Liu
|
Lianghao Xia
|
Chao Huang
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi
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GraphGPT: Graph Instruction Tuning for Large Language Models.
Jiabin Tang
|
Yuhao Yang
|
Wei Wei
|
Lei Shi
|
Lixin Su
|
Suqi Cheng
|
Dawei Yin
|
Chao Huang
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
doi
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DiffKG: Knowledge Graph Diffusion Model for Recommendation.
Yangqin Jiang
|
Yuhao Yang
|
Lianghao Xia
|
Chao Huang
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi
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SSLRec: A Self-Supervised Learning Framework for Recommendation.
Xubin Ren
|
Lianghao Xia
|
Yuhao Yang
|
Wei Wei
|
Tianle Wang
|
Xuheng Cai
|
Chao Huang
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi
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LLMRec: Large Language Models with Graph Augmentation for Recommendation.
Wei Wei
|
Xubin Ren
|
Jiabin Tang
|
Qinyong Wang
|
Lixin Su
|
Suqi Cheng
|
Junfeng Wang
|
Dawei Yin
|
Chao Huang
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi
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GraphPro: Graph Pre-training and Prompt Learning for Recommendation.
Yuhao Yang
|
Lianghao Xia
|
Da Luo
|
Kangyi Lin
|
Chao Huang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi
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Representation Learning with Large Language Models for Recommendation.
Xubin Ren
|
Wei Wei
|
Lianghao Xia
|
Lixin Su
|
Suqi Cheng
|
Junfeng Wang
|
Dawei Yin
|
Chao Huang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi
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PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.
Wei Wei
|
Jiabin Tang
|
Lianghao Xia
|
Yangqin Jiang
|
Chao Huang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi
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Large Language Models for Graphs: Progresses and Directions.
Chao Huang
|
Xubin Ren
|
Jiabin Tang
|
Dawei Yin
|
Nitesh V. Chawla
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
2023
doi
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How Expressive are Graph Neural Networks in Recommendation?
Xuheng Cai
|
Lianghao Xia
|
Xubin Ren
|
Chao Huang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
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Spatio-Temporal Meta Contrastive Learning.
Jiabin Tang
|
Lianghao Xia
|
Jie Hu
|
Chao Huang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
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Explainable Spatio-Temporal Graph Neural Networks.
Jiabin Tang
|
Lianghao Xia
|
Chao Huang
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi
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Graph Transformer for Recommendation.
Chaoliu Li
|
Lianghao Xia
|
Xubin Ren
|
Yaowen Ye
|
Yong Xu
|
Chao Huang
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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Disentangled Contrastive Collaborative Filtering.
Xubin Ren
|
Lianghao Xia
|
Jiashu Zhao
|
Dawei Yin
|
Chao Huang
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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Graph Masked Autoencoder for Sequential Recommendation.
Yaowen Ye
|
Lianghao Xia
|
Chao Huang
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi
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Heterogeneous Graph Contrastive Learning for Recommendation.
Mengru Chen
|
Chao Huang
|
Lianghao Xia
|
Wei Wei
|
Yong Xu
|
Ronghua Luo
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi
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Fair Graph Representation Learning via Diverse Mixture-of-Experts.
Zheyuan Liu
|
Chunhui Zhang
|
Yijun Tian
|
Erchi Zhang
|
Chao Huang
|
Yanfang Ye
|
Chuxu Zhang
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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Multi-Modal Self-Supervised Learning for Recommendation.
Wei Wei
|
Chao Huang
|
Lianghao Xia
|
Chuxu Zhang
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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Automated Self-Supervised Learning for Recommendation.
Lianghao Xia
|
Chao Huang
|
Chunzhen Huang
|
Kangyi Lin
|
Tao Yu
|
Ben Kao
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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Graph-less Collaborative Filtering.
Lianghao Xia
|
Chao Huang
|
Jiao Shi
|
Yong Xu
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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Debiased Contrastive Learning for Sequential Recommendation.
Yuhao Yang
|
Chao Huang
|
Lianghao Xia
|
Chunzhen Huang
|
Da Luo
|
Kangyi Lin
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
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Automated Spatio-Temporal Graph Contrastive Learning.
Qianru Zhang
|
Chao Huang
|
Lianghao Xia
|
Zheng Wang
|
Zhonghang Li
|
Siu-Ming Yiu
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
2022
doi
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Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems.
Lianghao Xia
|
Chao Huang
|
Yong Xu
|
Huance Xu
|
Xiang Li
|
Weiguo Zhang
ACM Transactions on Information Systems (TOIS) 2022 Volume 40 Issue 1
doi
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Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series.
Xian Wu
|
Chao Huang
|
Pablo Robles-Granda
|
Nitesh V. Chawla
ACM Transactions on Intelligent Systems and Technology (TIST) 2022 Volume 13 Issue 6
doi
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Self-Supervised Learning for Recommendation.
Chao Huang
|
Lianghao Xia
|
Xiang Wang
|
Xiangnan He
|
Dawei Yin
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi
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Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation.
Chunhui Zhang
|
Chao Huang
|
Youhuan Li
|
Xiangliang Zhang
|
Yanfang Ye
|
Chuxu Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi
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Self-Supervised Learning for Recommender System.
Chao Huang
|
Xiang Wang
|
Xiangnan He
|
Dawei Yin
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi
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Hypergraph Contrastive Collaborative Filtering.
Lianghao Xia
|
Chao Huang
|
Yong Xu
|
Jiashu Zhao
|
Dawei Yin
|
Jimmy X. Huang
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi
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Knowledge Graph Contrastive Learning for Recommendation.
Yuhao Yang
|
Chao Huang
|
Lianghao Xia
|
Chenliang Li
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
doi
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Contrastive Meta Learning with Behavior Multiplicity for Recommendation.
Wei Wei
|
Chao Huang
|
Lianghao Xia
|
Yong Xu
|
Jiashu Zhao
|
Dawei Yin
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
2021
doi
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Inductive Contextual Relation Learning for Personalization.
Chuxu Zhang
|
Huaxiu Yao
|
Lu Yu
|
Chao Huang
|
Dongjin Song
|
Haifeng Chen
|
Meng Jiang
|
Nitesh V. Chawla
ACM Transactions on Information Systems (TOIS) 2021 Volume 39 Issue 3
doi
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Social Recommendation with Self-Supervised Metagraph Informax Network.
Xiaoling Long
|
Chao Huang
|
Yong Xu
|
Huance Xu
|
Peng Dai
|
Lianghao Xia
|
Liefeng Bo
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
doi
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Graph Meta Network for Multi-Behavior Recommendation.
Lianghao Xia
|
Yong Xu
|
Chao Huang
|
Peng Dai
|
Liefeng Bo
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
doi
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Motif-Preserving Dynamic Attributed Network Embedding.
Zhijun Liu
|
Chao Huang
|
Yanwei Yu
|
Junyu Dong
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.
2020
doi
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Dynamic Representation Learning for Large-Scale Attributed Networks.
Zhijun Liu
|
Chao Huang
|
Yanwei Yu
|
Peng Song
|
Baode Fan
|
Junyu Dong
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
doi
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Fast Attributed Multiplex Heterogeneous Network Embedding.
Zhijun Liu
|
Chao Huang
|
Yanwei Yu
|
Baode Fan
|
Junyu Dong
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
doi
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Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer.
Xian Wu
|
Stephen M. Mattingly
|
Shayan Mirjafari
|
Chao Huang
|
Nitesh V. Chawla
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
doi
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Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.
Xiyue Zhang
|
Chao Huang
|
Yong Xu
|
Lianghao Xia
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
doi
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Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.
Lianghao Xia
|
Chao Huang
|
Yong Xu
|
Peng Dai
|
Bo Zhang
|
Liefeng Bo
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
doi
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Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting.
Xian Wu
|
Chao Huang
|
Chuxu Zhang
|
Nitesh V. Chawla
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020
2019
doi
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Similarity-Aware Network Embedding with Self-Paced Learning.
Chao Huang
|
Baoxu Shi
|
Xuchao Zhang
|
Xian Wu
|
Nitesh V. Chawla
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
doi
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Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity.
Chao Huang
|
Xian Wu
|
Xuchao Zhang
|
Suwen Lin
|
Nitesh V. Chawla
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
doi
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Deep Dynamic Fusion Network for Traffic Accident Forecasting.
Chao Huang
|
Chuxu Zhang
|
Peng Dai
|
Liefeng Bo
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
doi
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Neural Tensor Factorization for Temporal Interaction Learning.
Xian Wu
|
Baoxu Shi
|
Yuxiao Dong
|
Chao Huang
|
Nitesh V. Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
doi
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MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.
Chao Huang
|
Chuxu Zhang
|
Jiashu Zhao
|
Xian Wu
|
Nitesh V. Chawla
|
Dawei Yin
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
2018
doi
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DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
Chao Huang
|
Junbo Zhang
|
Yu Zheng
|
Nitesh V. Chawla
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
doi
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RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.
Xian Wu
|
Baoxu Shi
|
Yuxiao Dong
|
Chao Huang
|
Louis Faust
|
Nitesh V. Chawla
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
doi
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Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
Chuxu Zhang
|
Chao Huang
|
Lu Yu
|
Xiangliang Zhang
|
Nitesh V. Chawla
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018
2017
doi
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An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data.
Chao Huang
|
Dong Wang
|
Jun Tao
ACM Transactions on Intelligent Systems and Technology (TIST) 2017 Volume 8 Issue 6
2016
doi
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Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities.
Chao Huang
|
Xian Wu
|
Dong Wang
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016