Baoyu Jing

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 39

Top Topics

Bipartite Graph

Spatiotemporal Features

Knowledge Transfer

Domain Adaptation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD (2024)
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR (2024)
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
Automated Contrastive Learning Strategy Search for Time Series. CoRR (2024)
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. KDD (2024)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI (2024)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR (2023)
Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong
Reconciling Competing Sampling Strategies of Network Embedding. NeurIPS (2023)
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou
Characterizing Long-Tail Categories on Graphs. CoRR (2023)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
ARIEL: Adversarial Graph Contrastive Learning. CoRR (2022)
Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. CIKM (2022)
Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang
Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. IEEE Trans. Cybern. 52 (7) (2022)
Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
Adversarial Graph Contrastive Learning with Information Regularization. WWW (2022)
Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR (2022)
Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
Retrieval Based Time Series Forecasting. CoRR (2022)
Bolian Li, Baoyu Jing, Hanghang Tong
Graph Communal Contrastive Learning. WWW (2022)
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
Adversarial Graph Contrastive Learning with Information Regularization. CoRR (2022)
Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
Multiplex Graph Neural Network for Extractive Text Summarization. EMNLP (1) (2021)
Baoyu Jing, Hanghang Tong, Yada Zhu
Network of Tensor Time Series. WWW (2021)
Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. CoRR (2021)
Baoyu Jing, Chanyoung Park, Hanghang Tong
HDMI: High-order Deep Multiplex Infomax. CoRR (2021)
Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
Multiplex Graph Neural Network for Extractive Text Summarization. CoRR (2021)
Bolian Li, Baoyu Jing, Hanghang Tong
Graph Communal Contrastive Learning. CoRR (2021)
Baoyu Jing, Chanyoung Park, Hanghang Tong
HDMI: High-order Deep Multiplex Infomax. WWW (2021)
Baoyu Jing, Hanghang Tong, Yada Zhu
Network of Tensor Time Series. CoRR (2021)
Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong
Dynamic Knowledge Graph Alignment. AAAI (2021)
Jieli Zhou, Baoyu Jing, Zeya Wang
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation. CoRR (2020)
Baoyu Jing, Zeya Wang, Eric P. Xing
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports. CoRR (2020)
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI (2020)
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR (2019)
Baoyu Jing, Zeya Wang, Eric P. Xing
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports. ACL (1) (2019)
Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
Cross-Domain Labeled LDA for Cross-Domain Text Classification. CoRR (2018)
Baoyu Jing, Pengtao Xie, Eric P. Xing
On the Automatic Generation of Medical Imaging Reports. ACL (1) (2018)
Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM (2018)
Baoyu Jing, Pengtao Xie, Eric P. Xing
On the Automatic Generation of Medical Imaging Reports. CoRR (2017)