A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. - Zhe Zhao 008; Pengkun Wang 001; Haibin Wen; Yudong Zhang 005; Zhengyang Zhou; Yang Wang 015 (AAAI, 2024)

XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model. - Liheng Yu; Pengkun Wang 001; Zhe Zhao 008; Zhongchao Yi; Sun Nan; Di Wu 057; Yang Wang 015 (CIKM, 2024)

Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints. - Zhe Zhao 008; Pengkun Wang 001; Haibin Wen; Yudong Zhang 005; Binwu Wang; Yang Wang 015 (ICASSP, 2024)

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning. - Zhe Zhao 008; Pengkun Wang 001; Haibin Wen; Wei Xu; Song Lai 001; Qingfu Zhang 001; Yang Wang 015 (ICML, 2024)

Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity. - Binwu Wang; Pengkun Wang 001; Zhengyang Zhou; Zhe Zhao 008; Wei Xu; Yang Wang 015 (IJCAI, 2024)

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. - Song Lai 001; Mingyang Zhao 001; Zhe Zhao 008; Shi Chang; Xiaohua Yuan; Hongbin Liu 001; Qingfu Zhang 001; Gaofeng Meng (MICCAI (4), 2024)

MMDFND: Multi-modal Multi-Domain Fake News Detection. - Yu Tong; Weihai Lu; Zhe Zhao 008; Song Lai 001; Tong Shi (ACM Multimedia, 2024)

LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems. - Pengkun Wang 001; Zhe Zhao 008; Haibin Wen; Fanfu Wang; Binwu Wang; Qingfu Zhang 001; Yang Wang 015 (NeurIPS, 2024)

Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts. - Zhe Zhao 008; Haibin Wen; Zikang Wang; Pengkun Wang 001; Fanfu Wang; Song Lai 001; Qingfu Zhang 001; Yang Wang 015 (NeurIPS, 2024)

When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification. - Wei Xu; Pengkun Wang 001; Zhe Zhao 008; Binwu Wang; Xu Wang 029; Yang Wang 015 (WWW, 2024)

A Systematic Survey on Large Language Models for Algorithm Design. - Fei Liu 044; Yiming Yao; Ping Guo 007; Zhiyuan Yang 003; Zhe Zhao 008; Xi Lin 001; Xialiang Tong; Mingxuan Yuan; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2024)

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting. - Yudong Zhang 005; Pengkun Wang 001; Binwu Wang; Xu Wang 029; Zhe Zhao 008; Zhengyang Zhou; Lei Bai 001; Yang Wang 015 (IEEE Trans. Intell. Transp. Syst., 2024)

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. - Song Lai 001; Zhe Zhao 008; Fei Zhu 004; Xi Lin 001; Qingfu Zhang 001; Gaofeng Meng (AAAI, 2025)

STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis. - Zhe Zhao 008; Pengkun Wang 001; Haibin Wen; Shuang Wang; Liheng Yu; Yang Wang 015 (AAAI, 2025)

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. - Zhe Zhao 008; Haibin Wen; Pengkun Wang 001; Ye Wei; Zaixi Zhang; Xi Lin 001; Fei Liu 044; Bo An 001; Hui Xiong 001; Yang Wang 015; Qingfu Zhang 001 (CoRR, 2025)

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. - Zhe Zhao 008; Pengkun Wang 001; Xu Wang 029; Haibin Wen; Xiaolong Xie; Zhengyang Zhou; Qingfu Zhang 001; Yang Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)