| 2026 | WWW | Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts. | Yang Yao, Xin Wang, Yuan Meng, Zeyang Zhang, Hong Mei, Wenwu Zhu |
| 2025 | CVPR | One Model for ALL: Low-Level Task Interaction Is a Key to Task-Agnostic Image Fusion. | Chunyang Cheng, Tianyang Xu, Zhenhua Feng, Xiaojun Wu, Zhangyong Tang, Hui Li, Zeyang Zhang, Sara Atito Ali, Muhammad Awais, Josef Kittler |
| 2025 | ICCCN | A 3-D Ray Inversion Method for Regional Channel Impulse Response Restoration. | Zeyang Zhang, Jialu Tan, Shuchen Wang, Yanjun Chen, Fei Qin |
| 2025 | ICML | Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum. | Haoyang Li, Xin Wang, Zeyang Zhang, Zongyuan Wu, Linxin Xiao, Wenwu Zhu |
| 2025 | ICML | AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization. | Haibo Chen, Xin Wang, Zeyang Zhang, Haoyang Li, Ling Feng, Wenwu Zhu |
| 2025 | ICML | Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning. | Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu |
| 2025 | KDD | Causal-aware Graph Neural Architecture Search under Distribution Shifts. | Peiwen Li, Xin Wang, Zeyang Zhang, Ziwei Zhang, Fang Shen, Jialong Wang, Yang Li, Wenwu Zhu |
| 2025 | WWW | Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM. | Xin Wang, Haoyang Li, Zeyang Zhang, Wenwu Zhu |
| 2024 | CIKM | RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. | Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu |
| 2024 | ICML | Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. | Haoyang Li, Xin Wang, Zeyang Zhang, Haibo Chen, Ziwei Zhang, Wenwu Zhu |
| 2024 | ICML | Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. | Zeyang Zhang, Xin Wang, Yijian Qin, Hong Chen, Ziwei Zhang, Xu Chu, Wenwu Zhu |
| 2024 | ICPR | IFFusion: Illumination-Free Fusion Network for Infrared and Visible Images. | Chengcheng Song, Hui Li, Tianyang Xu, Zeyang Zhang, Xiao-Jun Wu |
| 2024 | INDIN | Path Tracking for Four-Wheel Steering and Four-Wheel Drive Autonomous Vehicles: Integration of Backstepping and Optimization Approaches. | Nian Wang, Chunlai Zhao, Zeyang Zhang, Guoqing Zhang, Junfei Ma, Haoqi Hu, Lin Zhang |
| 2024 | KDD | Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. | Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu |
| 2024 | KDD | LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? | Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Yijian Qin, Wenwu Zhu |
| 2023 | AAAI | Dynamic Heterogeneous Graph Attention Neural Architecture Search. | Zeyang Zhang, Ziwei Zhang, Xin Wang, Yijian Qin, Zhou Qin, Wenwu Zhu |
| 2022 | AAAI | Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum. | Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu |