IR
Anthology
Community
Yuxiao
Dong
2025
doi
dblp
WebGLM: Towards an Efficient and Reliable Web-Enhanced Question-Answering System.
Hanyu Lai
|
Xiao Liu
|
Hao Yu
|
Yifan Xu
|
Iat Long Iong
|
Shuntian Yao
|
Aohan Zeng
|
Zhengxiao Du
|
Yuxiao Dong
|
Jie Tang
ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 5
2024
doi
dblp
RecDCL: Dual Contrastive Learning for Recommendation.
Dan Zhang
|
Yangliao Geng
|
Wenwen Gong
|
Zhongang Qi
|
Zhiyu Chen
|
Xing Tang
|
Ying Shan
|
Yuxiao Dong
|
Jie Tang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
2023
doi
dblp
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.
Qing Li
|
Xiao Huang
|
Ninghao Liu
|
Yuxiao Dong
|
Guansong Pang
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
doi
dblp
CogDL: A Comprehensive Library for Graph Deep Learning.
Yukuo Cen
|
Zhenyu Hou
|
Yan Wang
|
Qibin Chen
|
Yizhen Luo
|
Zhongming Yu
|
Hengrui Zhang
|
Xingcheng Yao
|
Aohan Zeng
|
Shiguang Guo
|
Yuxiao Dong
|
Yang Yang
|
Peng Zhang
|
Guohao Dai
|
Yu Wang
|
Chang Zhou
|
Hongxia Yang
|
Jie Tang
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
dblp
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.
Zhenyu Hou
|
Yufei He
|
Yukuo Cen
|
Xiao Liu
|
Yuxiao Dong
|
Evgeny Kharlamov
|
Jie Tang
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
doi
dblp
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation.
Dan Zhang
|
Yifan Zhu
|
Yuxiao Dong
|
Yuandong Wang
|
Wenzheng Feng
|
Evgeny Kharlamov
|
Jie Tang
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
2022
doi
dblp
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs.
Namyong Park
|
Fuchen Liu
|
Purvanshi Mehta
|
Dana Cristofor
|
Christos Faloutsos
|
Yuxiao Dong
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
doi
dblp
GRAND+: Scalable Graph Random Neural Networks.
Wenzheng Feng
|
Yuxiao Dong
|
Tinglin Huang
|
Ziqi Yin
|
Xu Cheng
|
Evgeny Kharlamov
|
Jie Tang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
doi
dblp
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs.
Xiao Liu
|
Haoyun Hong
|
Xinghao Wang
|
Zeyi Chen
|
Evgeny Kharlamov
|
Yuxiao Dong
|
Jie Tang
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
doi
dblp
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs.
Yanling Wang
|
Jing Zhang
|
Haoyang Li
|
Yuxiao Dong
|
Hongzhi Yin
|
Cuiping Li
|
Hong Chen
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
2021
doi
dblp
MATCH: Metadata-Aware Text Classification in A Large Hierarchy.
Yu Zhang
|
Zhihong Shen
|
Yuxiao Dong
|
Kuansan Wang
|
Jiawei Han
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.
2020
doi
dblp
Heterogeneous Graph Transformer.
Ziniu Hu
|
Yuxiao Dong
|
Kuansan Wang
|
Yizhou Sun
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
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization.
Jiezhong Qiu
|
Yuxiao Dong
|
Hao Ma
|
Jian Li
|
Chi Wang
|
Kuansan Wang
|
Jie Tang
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
doi
dblp
Representation Learning on Networks: Theories, Algorithms, and Applications.
Jie Tang
|
Yuxiao Dong
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019.
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
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.
Jiezhong Qiu
|
Yuxiao Dong
|
Hao Ma
|
Jian Li
|
Kuansan Wang
|
Jie Tang
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018
doi
dblp
BigNet 2018 Chairs' Welcome & Organization.
Jie Tang
|
Michalis Vazirgiannis
|
Yuxiao Dong
|
Fragkiskos D. Malliaros
|
Michael Cochez
|
Mayank Kejriwal
|
Achim Rettinger
Companion Proceedings of the The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018
2017
doi
dblp
User Modeling on Demographic Attributes in Big Mobile Social Networks.
Yuxiao Dong
|
Nitesh V. Chawla
|
Jie Tang
|
Yang Yang
|
Yang Yang
ACM Transactions on Information Systems (TOIS) 2017 Volume 35 Issue 4
2016
doi
dblp
User Modeling in Large Social Networks.
Yuxiao Dong
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016
2015
doi
dblp
Will This Paper Increase Your h-index?: Scientific Impact Prediction.
Yuxiao Dong
|
Reid A. Johnson
|
Nitesh V. Chawla
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015