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ORCIDZehong Wang
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2020 – today
- 2025
[j5]Zehong Wang
, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo:
Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6858-6872 (2025)- [c17]Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. ACL (1) 2025: 5934-5966 - [c16]Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. ACL (Findings) 2025: 14095-14114 - [c15]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees. ICML 2025 - [c14]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Beyond Message Passing: Neural Graph Pattern Machine. ICML 2025 - [c13]Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. KDD (1) 2025: 2860-2871 - [c12]Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li:
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. KDD (2) 2025: 6010-6020 - [c11]Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye:
Graph Foundation Models: Challenges, Methods, and Open Questions. KDD (2) 2025: 6184-6194 - [c10]Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL (Long Papers) 2025: 1412-1432 - [c9]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Training MLPs on Graphs without Supervision. WSDM 2025: 697-706 - [i23]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Neural Graph Pattern Machine. CoRR abs/2501.18739 (2025) - [i22]Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection. CoRR abs/2503.01900 (2025) - [i21]Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Graph Foundation Models: A Comprehensive Survey. CoRR abs/2505.15116 (2025) - [i20]Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye:
AutoData: A Multi-Agent System for Open Web Data Collection. CoRR abs/2505.15859 (2025) - [i19]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Scalable Graph Generative Modeling via Substructure Sequences. CoRR abs/2505.16130 (2025) - [i18]Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li:
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. CoRR abs/2506.08326 (2025) - [i17]Yanfang Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh V. Chawla:
LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines. CoRR abs/2509.19580 (2025) - [i16]Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng:
From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization. CoRR abs/2509.23767 (2025) - [i15]Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye:
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering. CoRR abs/2510.05445 (2025) - [i14]Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye:
Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. CoRR abs/2510.10402 (2025) - [i13]Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye:
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use. CoRR abs/2510.15961 (2025) - 2024
- [j4]Xiaolong Han, Yu Xue, Zehong Wang, Yong Zhang, Anton Muravev, Moncef Gabbouj:
SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search. Swarm Evol. Comput. 91: 101736 (2024) - [j3]Yu Xue, Xiaolong Han, Zehong Wang:
Self-Adaptive Weight Based on Dual-Attention for Differentiable Neural Architecture Search. IEEE Trans. Ind. Informatics 20(4): 6394-6403 (2024) - [c8]Wenjun Yang, Yiqing Shen, Zehong Wang, Rui Zhao, Qitong Lu, Xinsheng Liu, Yungeng Liu, Mérouane Debbah, Yu Guang Wang, Shir Li Wang:
FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering. BIBM 2024: 5409-5417 - [c7]Yiming Li, Zhiheng Li, Nuo Chen, Moonjun Gong, Zonglin Lyu, Zehong Wang, Peili Jiang, Chen Feng:
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset. CVPR 2024: 22041-22051 - [c6]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Subgraph Pooling: Tackling Negative Transfer on Graphs. IJCAI 2024: 5153-5161 - [c5]Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD 2024: 6312-6323 - [c4]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. NeurIPS 2024 - [c3]Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
GFT: Graph Foundation Model with Transferable Tree Vocabulary. NeurIPS 2024 - [i12]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Tackling Negative Transfer on Graphs. CoRR abs/2402.08907 (2024) - [i11]Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR abs/2403.08820 (2024) - [i10]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR abs/2405.17187 (2024) - [i9]Yiming Li, Zhiheng Li, Nuo Chen, Moonjun Gong, Zonglin Lyu, Zehong Wang, Peili Jiang, Chen Feng:
Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset. CoRR abs/2406.09383 (2024) - [i8]Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
GFT: Graph Foundation Model with Transferable Tree Vocabulary. CoRR abs/2411.06070 (2024) - [i7]Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye:
Training MLPs on Graphs without Supervision. CoRR abs/2412.03864 (2024) - [i6]Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. CoRR abs/2412.08847 (2024) - [i5]Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye:
Can LLMs Convert Graphs to Text-Attributed Graphs? CoRR abs/2412.10136 (2024) - [i4]Zheyuan Zhang, Yiyang Li, Nhi Ha Lan Le, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning. CoRR abs/2412.15547 (2024) - [i3]Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Learning Cross-Task Generalities Across Graphs via Task-trees. CoRR abs/2412.16441 (2024) - 2023
- [j2]Zehong Wang, Donghua Yu, Qi Li, Shigen Shen, Shuang Yao:
SR-HGN: Semantic- and Relation-Aware Heterogeneous Graph Neural Network. Expert Syst. Appl. 224: 119982 (2023) - [c2]Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen:
Heterogeneous Graph Contrastive Multi-view Learning. SDM 2023: 136-144 - 2022
- [c1]Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han:
Temporal Graph Transformer for Dynamic Network. ICANN (2) 2022: 694-705 - [i2]Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao Zhi Gao, Shigen Shen:
Heterogeneous Graph Contrastive Multi-view Learning. CoRR abs/2210.00248 (2022) - [i1]Zehong Wang, Qi Li, Donghua Yu:
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation. CoRR abs/2210.01171 (2022) - 2021
- [j1]Zehong Wang, Jianhua Liu, Shigen Shen, Minglu Li:
Restaurant Recommendation in Vehicle Context Based on Prediction of Traffic Conditions. Int. J. Pattern Recognit. Artif. Intell. 35(10): 2159044:1-2159044:21 (2021)
Coauthor Index
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last updated on 2025-12-17 21:08 CET by the dblp team
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