Baoyu Jing

According to our database, Baoyu Jing authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ArieL: Adversarial Graph Contrastive Learning.

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

ACM Trans. Knowl. Discov. Data, May, 2024

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang

CoRR, 2024

Heterogeneous Contrastive Learning for Foundation Models and Beyond.

Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization.

Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Automated Contrastive Learning Strategy Search for Time Series.

Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Sterling: Synergistic Representation Learning on Bipartite Graphs.

Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Characterizing Long-Tail Categories on Graphs.

Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou

CoRR, 2023

Reconciling Competing Sampling Strategies of Network Embedding.

Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering.

Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing

IEEE Trans. Neural Networks Learn. Syst., 2022

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer.

Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang

IEEE Trans. Cybern., 2022

SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation.

Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Retrieval Based Time Series Forecasting.

Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong

CoRR, 2022

COIN: Co-Cluster Infomax for Bipartite Graphs.

Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong

CoRR, 2022

Graph Communal Contrastive Learning.

Bolian Li, Baoyu Jing, Hanghang Tong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Adversarial Graph Contrastive Learning with Information Regularization.

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.

Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.

Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang

IEEE Trans. Neural Networks Learn. Syst., 2021

Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs.

Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong

CoRR, 2021

Network of Tensor Time Series.

Baoyu Jing, Hanghang Tong, Yada Zhu

Proceedings of the WWW '21: The Web Conference 2021, 2021

HDMI: High-order Deep Multiplex Infomax.

Baoyu Jing, Chanyoung Park, Hanghang Tong

Proceedings of the WWW '21: The Web Conference 2021, 2021

Multiplex Graph Neural Network for Extractive Text Summarization.

Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dynamic Knowledge Graph Alignment.

Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation.

Jieli Zhou, Baoyu Jing, Zeya Wang

CoRR, 2020

Adversarial Domain Adaptation Being Aware of Class Relationships.

Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports.

Baoyu Jing, Zeya Wang, Eric P. Xing

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Cross-Domain Labeled LDA for Cross-Domain Text Classification.

Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu

Proceedings of the IEEE International Conference on Data Mining, 2018

On the Automatic Generation of Medical Imaging Reports.

Baoyu Jing, Pengtao Xie, Eric P. Xing

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018