2023

doi dblp
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

2022

doi dblp
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
Lianghao Xia | Chao Huang | Yong Xu | Huance Xu | Xiang Li | Weiguo Zhang
2022 Volume 40 Issue 1

doi dblp
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Xian Wu | Chao Huang | Pablo Robles-Granda | Nitesh V. Chawla
2022 Volume 13 Issue 6

doi dblp
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

doi dblp
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 dblp
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 dblp
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 dblp
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 dblp
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

2021

doi dblp
Inductive Contextual Relation Learning for Personalization
Chuxu Zhang | Huaxiu Yao | Lu Yu | Chao Huang | Dongjin Song | Haifeng Chen | Meng Jiang | Nitesh V. Chawla
2021 Volume 39 Issue 3

doi dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
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 dblp
An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data
Chao Huang | Dong Wang | Jun Tao
2017 Volume 8 Issue 6

2016

doi dblp
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