Haohui Wang

According to our database, Haohui Wang authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network.

Weijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou

CoRR, June, 2025

MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery.

Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou

CoRR, May, 2025

LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection.

Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou

CoRR, May, 2025

EVI<i>N</i>ET: Towards Open-World Graph Learning via Evidential Reasoning Network.

Weijie Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou

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

2024

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design.

Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang

CoRR, 2024

TrustLOG: The Second Workshop on Trustworthy Learning on Graphs.

Jingrui He, Jian Kang, Fatemeh Nargesian, Haohui Wang, An Zhang, Dawei Zhou

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox.

Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs.

Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

HeroLT: Benchmarking Heterogeneous Long-Tailed Learning.

Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

CoRR, 2023

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily.

Shuaicheng Zhang, Haohui Wang, Si Zhang, Dawei Zhou

CoRR, 2023

Characterizing Long-Tail Categories on Graphs.

Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou

CoRR, 2023

Dynamic Transfer Learning across Graphs.

Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou

CoRR, 2023

2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

Indirect-feedback Control of Microwave Hyperthermia System Using Non-invasive Measurement.

Yonghong Tan, Haohui Wang, Ruili Dong

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

2021

Robust Bayesian matrix decomposition with mixture of Gaussian noise.

Haohui Wang, Chihao Zhang, Shihua Zhang

Neurocomputing, 2021