Zhichun Guo - RankMe

56 papers A* 13A 5Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CORE: Data Augmentation for Link Prediction via Information Bottleneck. ACM Trans. Knowl. Discov. Data Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
2026	J	`jnl`	CoSA: Compressed Sensing-Based Adaptation of Large Language Models. CoRR Songtao Wei, Yi Li, Bohan Zhang, Zhichun Guo, Ying Huang, Yuede Ji, Miao Yin, Guanpeng Li, Bingzhe Li
2025	A*	`conf`	Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond. IJCAI 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	J	`jnl`	Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond. CoRR 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	J	`jnl`	ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery. CoRR Xiaobao Huang, Yihong Ma, Anjali Gurajapu, Jules Schleinitz, Zhichun Guo, Sarah E. Reisman, Nitesh V. Chawla
2025	—	`conf`	Improving Out-of-Vocabulary Hashing in Recommendation Systems. WWW (Companion Volume) William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
2025	J	`jnl`	Improving Protein Sequence Design through Designability Preference Optimization. CoRR Fanglei Xue, Andrew Kubaney, Zhichun Guo, Joseph K. Min, Ge Liu, Yi Yang, David Baker
2025	—	`conf`	Machine Learning on Graphs in the Era of Generative Artificial Intelligence. KDD (2) Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025	J	`jnl`	Node Duplication Improves Cold-start Link Prediction. Trans. Mach. Learn. Res. Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V. Chawla
2025	A	`conf`	Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions. CIKM Kehan Guo, Zhen Liu, Zhichun Guo, Bozhao Nan, Olexandr Isayev, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	J	`jnl`	Universal Link Predictor By In-Context Learning on Graphs. Trans. Mach. Learn. Res. Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla
2024	J	`jnl`	CORE: Data Augmentation for Link Prediction via Information Bottleneck. CoRR Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
2024	A*	`conf`	Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation. NeurIPS Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2024	A*	`conf`	How Does Message Passing Improve Collaborative Filtering? NeurIPS Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024	J	`jnl`	How Does Message Passing Improve Collaborative Filtering? CoRR Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024	J	`jnl`	Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
2024	J	`jnl`	MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension. CoRR Khiem Le, Zhichun Guo, Kaiwen Dong, Xiaobao Huang, Bozhao Nan, Roshni G. Iyer, Xiangliang Zhang, Olaf Wiest, Wei Wang, Nitesh V. Chawla
2024	J	`jnl`	Node Duplication Improves Cold-start Link Prediction. CoRR Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
2024	A*	`conf`	Pure Message Passing Can Estimate Common Neighbor for Link Prediction. NeurIPS Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
2024	J	`jnl`	Universal Link Predictor By In-Context Learning on Graphs. CoRR Kaiwen Dong, Haitao Mao, Zhichun Guo, Nitesh V. Chawla
2024	J	`jnl`	YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training. CoRR Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li
2024	J	`jnl`	You do not have to train Graph Neural Networks at all on text-attributed graphs. CoRR Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
2023	A	`conf`	A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
2023	A*	`conf`	Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2023	A*	`conf`	Link Prediction with Non-Contrastive Learning. ICLR William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
2023	A*	`conf`	Linkless Link Prediction via Relational Distillation. ICML Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
2023	J	`jnl`	Pure Message Passing Can Estimate Common Neighbor for Link Prediction. CoRR Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
2023	J	`jnl`	SD IEEE Trans. Vis. Comput. Graph. Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
2023	A*	`conf`	What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks. NeurIPS Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2023	J	`jnl`	What indeed can GPT models do in chemistry? A comprehensive benchmark on eight tasks. CoRR Taicheng Guo, Kehan Guo, Bozhao Nan, Zhengwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2022	J	`jnl`	A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
2022	J	`jnl`	Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2022	—	`conf`	FakeEdge: Alleviate Dataset Shift in Link Prediction. LoG Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
2022	J	`jnl`	FakeEdge: Alleviate Dataset Shift in Link Prediction. CoRR Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
2022	—	`conf`	Flashlight: Scalable Link Prediction With Effective Decoders. LoG Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022	J	`jnl`	Flashlight: Scalable Link Prediction with Effective Decoders. CoRR Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022	J	`jnl`	Graph-based Molecular Representation Learning. CoRR Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla
2022	A	`conf`	Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. CIKM Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla
2022	J	`jnl`	Link Prediction with Non-Contrastive Learning. CoRR William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
2022	J	`jnl`	Linkless Link Prediction via Relational Distillation. CoRR Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
2022	J	`jnl`	NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2022	A*	`conf`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	A*	`conf`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	SD2: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance. CoRR Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang
2021	A	`conf`	Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
2021	A*	`conf`	Few-Shot Graph Learning for Molecular Property Prediction. WWW Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2021	J	`jnl`	Few-Shot Graph Learning for Molecular Property Prediction. CoRR Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
2021	—	`conf`	Sentence-Permuted Paragraph Generation. EMNLP (1) Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2021	J	`jnl`	Sentence-Permuted Paragraph Generation. CoRR Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2020	A	`conf`	GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. CIKM Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2020	J	`jnl`	Improving Generalizability of Fake News Detection Methods using Propensity Score Matching. CoRR Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang
2019	J	`jnl`	Exploring the power of social hub services. World Wide Web Qingyuan Gong, Yang Chen, Xiaolong Yu, Chao Xu, Zhichun Guo, Yu Xiao, Fehmi Ben Abdesslem, Xin Wang, Pan Hui