On the Automatic Generation of Medical Imaging Reports. - Baoyu Jing; Pengtao Xie; Eric P. Xing (ACL (1), 2018)

Cross-Domain Labeled LDA for Cross-Domain Text Classification. - Baoyu Jing; Chenwei Lu; Deqing Wang; Fuzhen Zhuang; Cheng Niu (ICDM, 2018)

Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports. - Baoyu Jing; Zeya Wang; Eric P. Xing (ACL (1), 2019)

Adversarial Domain Adaptation Being Aware of Class Relationships. - Zeya Wang; Baoyu Jing; Yang Ni; Nanqing Dong; Pengtao Xie; Eric P. Xing (ECAI, 2020)

SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation. - Jieli Zhou; Baoyu Jing; Zeya Wang (CoRR, 2020)

Dynamic Knowledge Graph Alignment. - Yuchen Yan; Lihui Liu; Yikun Ban; Baoyu Jing; Hanghang Tong (AAAI, 2021)

Multiplex Graph Neural Network for Extractive Text Summarization. - Baoyu Jing; Zeyu You; Tao Yang 012; Wei Fan 001; Hanghang Tong (EMNLP (1), 2021)

HDMI: High-order Deep Multiplex Infomax. - Baoyu Jing; Chanyoung Park 001; Hanghang Tong (WWW, 2021)

Network of Tensor Time Series. - Baoyu Jing; Hanghang Tong; Yada Zhu (WWW, 2021)

Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. - Baoyu Jing; Yuejia Xiang; Xi Chen 003; Yu Chen; Hanghang Tong (CoRR, 2021)

Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. - Deqing Wang; Baoyu Jing; Chenwei Lu; Junjie Wu 002; Guannan Liu; Chenguang Du; Fuzhen Zhuang (IEEE Trans. Neural Networks Learn. Syst., 2021)

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. - Baoyu Jing; Shengyu Feng; Yuejia Xiang; Xi Chen 003; Yu Chen; Hanghang Tong (CIKM, 2022)

Adversarial Graph Contrastive Learning with Information Regularization. - Shengyu Feng; Baoyu Jing; Yada Zhu; Hanghang Tong (WWW, 2022)

Graph Communal Contrastive Learning. - Bolian Li; Baoyu Jing; Hanghang Tong (WWW, 2022)

COIN: Co-Cluster Infomax for Bipartite Graphs. - Baoyu Jing; Yuchen Yan; Yada Zhu; Hanghang Tong (CoRR, 2022)

Retrieval Based Time Series Forecasting. - Baoyu Jing; Si Zhang; Yada Zhu; Bin Peng; Kaiyu Guan; Andrew Margenot; Hanghang Tong (CoRR, 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)

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. - Deqing Wang; Junjie Wu 002; Jingyuan Yang 001; Baoyu Jing; Wenjie Zhang; Xiaonan He; Hui Zhang 028 (IEEE Trans. Cybern., 2022)

DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. - Zeya Wang; Yang Ni; Baoyu Jing; Deqing Wang; Hao Zhang 025; Eric P. Xing (IEEE Trans. Neural Networks Learn. Syst., 2022)

Reconciling Competing Sampling Strategies of Network Embedding. - Yuchen Yan; Baoyu Jing; Lihui Liu; Ruijie Wang 004; Jinning Li 001; Tarek F. Abdelzaher; Hanghang Tong (NeurIPS, 2023)

Characterizing Long-Tail Categories on Graphs. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Dawei Zhou 003 (CoRR, 2023)

Sterling: Synergistic Representation Learning on Bipartite Graphs. - Baoyu Jing; Yuchen Yan; Kaize Ding; Chanyoung Park 001; Yada Zhu; Huan Liu 001; Hanghang Tong (AAAI, 2024)

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CIKM, 2024)

Automated Contrastive Learning Strategy Search for Time Series. - Baoyu Jing; Yansen Wang; Guoxin Sui; Jing Hong; Jingrui He; Yuqing Yang 001; Dongsheng Li 002; Kan Ren (CIKM, 2024)

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Wei Cheng 002; Si Zhang; Yonghui Fan; Liqing Zhang 002; Dawei Zhou 003 (KDD, 2024)

Heterogeneous Contrastive Learning for Foundation Models and Beyond. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Hanghang Tong; Jingrui He (KDD, 2024)

Towards Editing Time Series. - Baoyu Jing; Shuqi Gu; Tianyu Chen; Zhiyu Yang; Dongsheng Li 002; Jingrui He; Kan Ren (NeurIPS, 2024)

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CoRR, 2024)

PyG-SSL: A Graph Self-Supervised Learning Toolkit. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Zhichen Zeng 001; Tianxin Wei; Mengting Ai; Xinrui He; Lihui Liu; Dongqi Fu; Jiaxuan You; Hanghang Tong; Jingrui He (CoRR, 2024)

ArieL: Adversarial Graph Contrastive Learning. - Shengyu Feng; Baoyu Jing; Yada Zhu; Hanghang Tong (ACM Trans. Knowl. Discov. Data, 2024)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? - Zihao Li 006; Lecheng Zheng; Bowen Jin; Dongqi Fu; Baoyu Jing; Yikun Ban; Jingrui He; Jiawei Han 001 (ACL (1), 2025)

SimTA++: Simple attention neural network for clinical asynchronous time series. - Zhihao Li; Jingyu Li; Kaiming Kuang; Baoyu Jing; Bo Du 001; Fei Liao; Jiancheng Yang (Neural Networks, 2025)

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment. - Qi Yu; Zhichen Zeng 001; Yuchen Yan; Zhining Liu 002; Baoyu Jing; Ruizhong Qiu; Ariful Azad; Hanghang Tong (CoRR, 2025)

Cross-Domain Conditional Diffusion Models for Time Series Imputation. - Kexin Zhang 007; Baoyu Jing; K. Selçuk Candan; Dawei Zhou 003; Qingsong Wen; Han Liu; Kaize Ding (CoRR, 2025)