Robust Bayesian matrix decomposition with mixture of Gaussian noise. - Haohui Wang; Chihao Zhang 002; Shihua Zhang (Neurocomputing, 2021)

Indirect-feedback Control of Microwave Hyperthermia System Using Non-invasive Measurement. - Yonghong Tan 001; Haohui Wang; Ruili Dong (RCAR, 2022)

A Benchmark for Federated Hetero-Task Learning. - Liuyi Yao; Dawei Gao; Zhen Wang 036; Yuexiang Xie; Weirui Kuang; Daoyuan Chen; Haohui Wang; Chenhe Dong; Bolin Ding; Yaliang Li (CoRR, 2022)

Dynamic Transfer Learning across Graphs. - Haohui Wang; Yuzhen Mao; Jianhui Sun; Si Zhang; Dawei Zhou 003 (CoRR, 2023)

Characterizing Long-Tail Categories on Graphs. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Dawei Zhou 003 (CoRR, 2023)

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily. - Shuaicheng Zhang; Haohui Wang; Si Zhang; Dawei Zhou 003 (CoRR, 2023)

HeroLT: Benchmarking Heterogeneous Long-Tailed Learning. - Haohui Wang; Weijie Guan; Jianpeng Chen; Zi Wang; Dawei Zhou 003 (CoRR, 2023)

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 003 (ICML, 2024)

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. - Haohui Wang; Baoyu Jing; Kaize Ding; Yada Zhu; Wei Cheng 002; Si Zhang; Yonghui Fan; Liqing Zhang 002; Dawei Zhou 003 (KDD, 2024)

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox. - Haohui Wang; Weijie Guan; Jianpeng Chen; Zi Wang; Dawei Zhou 003 (NeurIPS, 2024)

TrustLOG: The Second Workshop on Trustworthy Learning on Graphs. - Jingrui He; Jian Kang 008; Fatemeh Nargesian; Haohui Wang; An Zhang 003; Dawei Zhou 003 (WWW (Companion Volume), 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 010; Mingyu Derek Ma; Bangzheng Li; Haohui Wang; et al. (CoRR, 2024)

LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection. - Xinyue Zeng; Haohui Wang; Junhong Lin; Jun Wu 019; Tyler Cody; Dawei Zhou 003 (CoRR, 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 001; Ling Li; Wei Wang 010; et al. (CoRR, 2025)

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. - Weijie Guan; Haohui Wang; Jian Kang 008; Lihui Liu; Dawei Zhou 003 (CoRR, 2025)