Zehong Wang

According to our database, Zehong Wang authored at least 55 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization.

Zheyuan Zhang, Kaiwen Shi, Han Bao, Zehong Wang, Tianyi Ma, Yanfang Ye

CoRR, May, 2026

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions.

Kyrie Zhao, Zehong Wang, Tianyi Ma, Fang Wu, Xiangru Tang, Pietro Lio, Sheng Wang, Yanfang Ye

CoRR, May, 2026

PreScam: A Benchmark for Predicting Scam Progression from Early Conversations.

Weixiang Sun, Shang Ma, Yiyang Li, Tianyi Ma, Zehong Wang, Colby Nelson, Xusheng Xiao, Yanfang Ye

CoRR, May, 2026

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training.

Fang Wu, Haokai Zhao, Da Xing, Hanqun Cao, Tinson Xu, Yanchao Li, Xiangru Tang, Zehong Wang, Aaron Tu, Kuan Pang, Hanchen Wang, Hongbin Lin, Zeqi Zhou, Yinxi Li, Peng Xia, Li Erran Li, Molei Tao, Jure Leskovec, Aditya Joshi, Yejin Choi

CoRR, May, 2026

On the Safety of Graph Representation Learning.

Xiaoguang Guo, Zehong Wang, Ziming Li, Shawn Spitzel, Soonwoo Kwon, Tianyi Ma, Yanfang Ye, Chuxu Zhang

CoRR, May, 2026

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design.

Fang Wu, Weihao Xuan, Heli Qi, Hanqun Cao, Heng-Jui Chang, Zeqi Zhou, Haokai Zhao, Ma Jian, Carl Ma, Yu-Chi Cheng, Kuan Pang, Xiangru Tang, Zehong Wang, Guanlue Li, Hanchen Wang, Kejun Ying, Pan Lu, Chiho Im, Seungju Han, Peng Xia, Tinson Xu, Yinxi Li, Deyao Zhu, Pheng-Ann Heng, Naoto Yokoya, Masashi Sugiyama, Li Erran Li, Jure Leskovec, Yejin Choi

CoRR, May, 2026

W2T: LoRA Weights Already Know What They Can Do.

Xiaolong Han, Ferrante Neri, Zijian Jiang, Fang Wu, Yanfang Ye, Lu Yin, Zehong Wang

CoRR, March, 2026

A Survey of Weight Space Learning: Understanding, Representation, and Generation.

Xiaolong Han, Zehong Wang, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri

CoRR, March, 2026

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs.

Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

CoRR, February, 2026

OPBench: A Graph Benchmark to Combat the Opioid Crisis.

Tianyi Ma, Yiyang Li, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Chuxu Zhang, Yanfang Ye

CoRR, February, 2026

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis.

Yijun Ma, Zehong Wang, Weixiang Sun, Zheyuan Zhang, Kaiwen Shi, Nitesh V. Chawla, Yanfang Ye

CoRR, February, 2026

Generalizing GNNs with Tokenized Mixture of Experts.

Xiaoguang Guo, Zehong Wang, Jiazheng Li, Shawn Spitzel, Qi Yang, Kaize Ding, Jundong Li, Chuxu Zhang

CoRR, February, 2026

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning.

Xinwu Ye, Yicheng Mao, Jia Zhang, Yimeng Liu, Li Hao, Fang Wu, Zhiwei Li, Yuxuan Liao, Zehong Wang, Zhiyuan Liu, Zhenfei Yin, Li Yuan, Philip Torr, Huan Sun, Xiangxiang Zeng, Mengdi Wang, Le Cong, Shenghua Gao, Xiangru Tang

CoRR, February, 2026

Temporal Graph Pattern Machine.

Yijun Ma, Zehong Wang, Weixiang Sun, Yanfang Ye

CoRR, January, 2026

Graph is a Substrate Across Data Modalities.

Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang

CoRR, January, 2026

Molecular Representations in Implicit Functional Space via Hyper-Networks.

Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye

CoRR, January, 2026

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents.

Zehong Wang, Fang Wu, Hongru Wang, Xiangru Tang, Bolian Li, Zhenfei Yin, Yijun Ma, Yiyang Li, Weixiang Sun, Xiusi Chen, Yanfang Ye

CoRR, January, 2026

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis.

Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

CoRR, January, 2026

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance.

Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye

Proceedings of the ACM Web Conference 2026, 2026

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use.

Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering.

Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Semantic Refinement with LLMs for Graph Representations.

Safal Thapaliya, Zehong Wang, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang

CoRR, December, 2025

From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization.

Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng

CoRR, September, 2025

LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines.

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

CoRR, September, 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

CoRR, June, 2025

Scalable Graph Generative Modeling via Substructure Sequences.

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

CoRR, May, 2025

Graph Foundation Models: A Comprehensive Survey.

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

CoRR, May, 2025

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling.

Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Neural Graph Pattern Machine.

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

CoRR, January, 2025

Training MLPs on Graphs without Supervision.

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

AutoData: A Multi-Agent System for Open Web Data Collection.

Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Can LLMs Convert Graphs to Text-Attributed Graphs?

Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation.

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Graph Foundation Models: Challenges, Methods, and Open Questions.

Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V. Chawla, Yanfang Ye

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Beyond Message Passing: Neural Graph Pattern Machine.

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees.

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Hypergraph Representation Learning with Adaptive Broadcasting and Receiving.

Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye

Proceedings of the IEEE International Conference on Data Mining, 2025

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection.

Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Self-Adaptive Weight Based on Dual-Attention for Differentiable Neural Architecture Search.

Yu Xue, Xiaolong Han, Zehong Wang

IEEE Trans. Ind. Informatics, April, 2024

SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search.

Xiaolong Han, Yu Xue, Zehong Wang, Yong Zhang, Anton Muravev, Moncef Gabbouj

Swarm Evol. Comput., 2024

Learning Cross-Task Generalities Across Graphs via Task-trees.

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

CoRR, 2024

Tackling Negative Transfer on Graphs.

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

CoRR, 2024

GFT: Graph Foundation Model with Transferable Tree Vocabulary.

Zehong Wang, Zheyuan Zhang, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Memorize What Matters: Emergent Scene Decomposition from Multitraverse.

Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns.

Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Subgraph Pooling: Tackling Negative Transfer on Graphs.

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset.

Yiming Li, Zhiheng Li, Nuo Chen, Moonjun Gong, Zonglin Lyu, Zehong Wang, Peili Jiang, Chen Feng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FalconProtein: Finetuning Falcon Foundation Model for Protein Engineering.

Wenjun Yang, Yiqing Shen, Zehong Wang, Rui Zhao, Qitong Lu, Xinsheng Liu, Yungeng Liu, Mérouane Debbah, Yu Guang Wang, Shir Li Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

SR-HGN: Semantic- and Relation-Aware Heterogeneous Graph Neural Network.

Zehong Wang, Donghua Yu, Qi Li, Shigen Shen, Shuang Yao

Expert Syst. Appl., August, 2023

Heterogeneous Graph Contrastive Multi-view Learning.

Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation.

Zehong Wang, Qi Li, Donghua Yu

CoRR, 2022

Temporal Graph Transformer for Dynamic Network.

Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Restaurant Recommendation in Vehicle Context Based on Prediction of Traffic Conditions.

Zehong Wang, Jianhua Liu, Shigen Shen, Minglu Li

Int. J. Pattern Recognit. Artif. Intell., 2021