Baoyu Jing
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | RADAR: Risk-Aware Distilled Adaptive Routing for Efficient Short-Form Video Platform Ecosystem Governance. | Baoyu Jing, Zixuan Wang, Junwen Chen, Xin Dong, Bingfeng Deng |
| 2025 | ACL | Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? | Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han |
| 2025 | CIKM | PyG-SSL: A Graph Self-Supervised Learning Toolkit. | 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 | EMNLP | Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance. | Zixuan Wang, Yu Sun, Hongwei Wang, Baoyu Jing, Xiang Shen, Xin Dong, Zhuolin Hao, Hongyu Xiong, Yang Song |
| 2025 | EMNLP | Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity. | Zihao Li, Feihao Fang, Xitong Zhang, Jiaru Zou, Zhining Liu, Wei Xiong, Ziwei Wu, Baoyu Jing, Jingrui He |
| 2025 | ICML | VerbalTS: Generating Time Series from Texts. | Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren |
| 2025 | KDD | Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning. | Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang |
| 2024 | AAAI | Sterling: Synergistic Representation Learning on Bipartite Graphs. | Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong |
| 2024 | CIKM | Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. | Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang |
| 2024 | CIKM | Automated Contrastive Learning Strategy Search for Time Series. | Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren |
| 2024 | KDD | 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 |
| 2024 | KDD | Heterogeneous Contrastive Learning for Foundation Models and Beyond. | Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He |
| 2022 | CIKM | X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. | Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong |
| 2022 | WWW | Adversarial Graph Contrastive Learning with Information Regularization. | Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong |
| 2022 | WWW | Graph Communal Contrastive Learning. | Bolian Li, Baoyu Jing, Hanghang Tong |
| 2021 | AAAI | Dynamic Knowledge Graph Alignment. | Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong |
| 2021 | EMNLP | Multiplex Graph Neural Network for Extractive Text Summarization. | Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong |
| 2021 | WWW | HDMI: High-order Deep Multiplex Infomax. | Baoyu Jing, Chanyoung Park, Hanghang Tong |
| 2021 | WWW | Network of Tensor Time Series. | Baoyu Jing, Hanghang Tong, Yada Zhu |
| 2020 | ECAI | Adversarial Domain Adaptation Being Aware of Class Relationships. | Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing |
| 2019 | ACL | Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-ray Reports. | Baoyu Jing, Zeya Wang, Eric P. Xing |
| 2018 | ACL | On the Automatic Generation of Medical Imaging Reports. | Baoyu Jing, Pengtao Xie, Eric P. Xing |
| 2018 | ICDM | Cross-Domain Labeled LDA for Cross-Domain Text Classification. | Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu |