Zhichun Guo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. | Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang |
| 2025 | IJCAI | Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond. | Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang |
| 2025 | KDD | Machine Learning on Graphs in the Era of Generative Artificial Intelligence. | Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang |
| 2025 | WWW | Improving Out-of-Vocabulary Hashing in Recommendation Systems. | William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu |
| 2023 | AAAI | Boosting Graph Neural Networks via Adaptive Knowledge Distillation. | Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla |
| 2023 | EACL | A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. | Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang |
| 2023 | ICLR | Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. | Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla |
| 2023 | ICLR | Link Prediction with Non-Contrastive Learning. | William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah |
| 2023 | ICML | Linkless Link Prediction via Relational Distillation. | Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao |
| 2023 | IJCAI | Graph-based Molecular Representation Learning. | Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla |
| 2022 | CIKM | Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. | Yihong Ma, Patrick Grard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla |
| 2022 | IJCAI | RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. | Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla |
| 2022 | IJCAI | Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. | Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla |
| 2021 | CIKM | Action Sequence Augmentation for Early Graph-based Anomaly Detection. | Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang |
| 2021 | EMNLP | Sentence-Permuted Paragraph Generation. | Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang |
| 2021 | WWW | Few-Shot Graph Learning for Molecular Property Prediction. | Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla |
| 2020 | CIKM | GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. | Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla |