Baoyu Jing

56 papers A* 12A 5Journal 31Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
TSAQA: Time Series Analysis Question And Answering Benchmark.
CoRR
Baoyu Jing, Sanhorn Chen, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong
2025 — conf
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
ACL (1)
Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2025 — conf
Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning.
KDD (2)
Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang
2025 — conf
Cross-Domain Conditional Diffusion Models for Time Series Imputation.
ECML/PKDD (8)
Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding
2025 J jnl
Cross-Domain Conditional Diffusion Models for Time Series Imputation.
CoRR
Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding
2025 — conf
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity.
EMNLP (Findings)
Zihao Li, Feihao Fang, Xitong Zhang, Jiaru Zou, Zhining Liu, Wei Xiong, Ziwei Wu, Baoyu Jing, Jingrui He
2025 J jnl
PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment.
CoRR
Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong
2025 A conf
PyG-SSL: A Graph Self-Supervised Learning Toolkit.
CIKM
Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2025 — conf
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance.
EMNLP (Industry Track)
Zixuan Wang, Yu Sun, Hongwei Wang, Baoyu Jing, Xiang Shen, Xin Dong, Zhuolin Hao, Hongyu Xiong, Yang Song
2025 J jnl
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Moderation.
CoRR
Zixuan Wang, Yu Sun, Hongwei Wang, Baoyu Jing, Xiang Shen, Xin Dong, Zhuolin Hao, Hongyu Xiong, Yang Song
2025 J jnl
SimTA++: Simple attention neural network for clinical asynchronous time series.
Neural Networks
Zhihao Li, Jingyu Li, Kaiming Kuang, Baoyu Jing, Bo Du, Fei Liao, Jiancheng Yang
2025 A* conf
VerbalTS: Generating Time Series from Texts.
ICML
Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren
2024 J jnl
ArieL: Adversarial Graph Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2024 A conf
Automated Contrastive Learning Strategy Search for Time Series.
CIKM
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024 J jnl
Automated Contrastive Learning Strategy Search for Time Series.
CoRR
Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024 J jnl
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
CoRR
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024 J jnl
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
CoRR
Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2024 A conf
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
CIKM
Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024 A* conf
Heterogeneous Contrastive Learning for Foundation Models and Beyond.
KDD
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024 J jnl
Heterogeneous Contrastive Learning for Foundation Models and Beyond.
CoRR
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024 A* conf
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization.
KDD
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
2024 J jnl
PyG-SSL: A Graph Self-Supervised Learning Toolkit.
CoRR
Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2024 A* conf
Sterling: Synergistic Representation Learning on Bipartite Graphs.
AAAI
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2024 A* conf
Towards Editing Time Series.
NeurIPS
Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2023 J jnl
Characterizing Long-Tail Categories on Graphs.
CoRR
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou
2023 A* conf
Reconciling Competing Sampling Strategies of Network Embedding.
NeurIPS
Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong
2023 J jnl
STERLING: Synergistic Representation Learning on Bipartite Graphs.
CoRR
Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2022 J jnl
ARIEL: Adversarial Graph Contrastive Learning.
CoRR
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022 A* conf
Adversarial Graph Contrastive Learning with Information Regularization.
WWW
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022 J jnl
Adversarial Graph Contrastive Learning with Information Regularization.
CoRR
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022 J jnl
COIN: Co-Cluster Infomax for Bipartite Graphs.
CoRR
Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
2022 J jnl
Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer.
IEEE Trans. Cybern.
Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang
2022 J jnl
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing
2022 A* conf
Graph Communal Contrastive Learning.
WWW
Bolian Li, Baoyu Jing, Hanghang Tong
2022 J jnl
Retrieval Based Time Series Forecasting.
CoRR
Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2022 J jnl
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong
2022 A conf
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.
CIKM
Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
2021 J jnl
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification.
IEEE Trans. Neural Networks Learn. Syst.
Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang
2021 A* conf
Dynamic Knowledge Graph Alignment.
AAAI
Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong
2021 J jnl
Graph Communal Contrastive Learning.
CoRR
Bolian Li, Baoyu Jing, Hanghang Tong
2021 J jnl
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs.
CoRR
Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
2021 A* conf
HDMI: High-order Deep Multiplex Infomax.
WWW
Baoyu Jing, Chanyoung Park, Hanghang Tong
2021 J jnl
HDMI: High-order Deep Multiplex Infomax.
CoRR
Baoyu Jing, Chanyoung Park, Hanghang Tong
2021 — conf
Multiplex Graph Neural Network for Extractive Text Summarization.
EMNLP (1)
Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
2021 J jnl
Multiplex Graph Neural Network for Extractive Text Summarization.
CoRR
Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
2021 A* conf
Network of Tensor Time Series.
WWW
Baoyu Jing, Hanghang Tong, Yada Zhu
2021 J jnl
Network of Tensor Time Series.
CoRR
Baoyu Jing, Hanghang Tong, Yada Zhu
2020 A conf
Adversarial Domain Adaptation Being Aware of Class Relationships.
ECAI
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2020 J jnl
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation.
CoRR
Jieli Zhou, Baoyu Jing, Zeya Wang
2020 J jnl
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports.
CoRR
Baoyu Jing, Zeya Wang, Eric P. Xing
2019 J jnl
Adversarial Domain Adaptation Being Aware of Class Relationships.
CoRR
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2019 — conf
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports.
ACL (1)
Baoyu Jing, Zeya Wang, Eric P. Xing
2018 A* conf
Cross-Domain Labeled LDA for Cross-Domain Text Classification.
ICDM
Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018 J jnl
Cross-Domain Labeled LDA for Cross-Domain Text Classification.
CoRR
Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu
2018 — conf
On the Automatic Generation of Medical Imaging Reports.
ACL (1)
Baoyu Jing, Pengtao Xie, Eric P. Xing
2017 J jnl
On the Automatic Generation of Medical Imaging Reports.
CoRR
Baoyu Jing, Pengtao Xie, Eric P. Xing