Graph Differentiable Architecture Search with Structure Learning. - Yijian Qin; Xin Wang 019; Zeyang Zhang 001; Wenwu Zhu 001 (NeurIPS, 2021)

AutoGL: A Library for Automated Graph Learning. - Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Heng Chang; Zeyang Zhang 001; Yijian Qin; Jiyan Jiang; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2021)

Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? - Ziwei Zhang 001; Xin Wang 019; Zeyang Zhang 001; Peng Cui 001; Wenwu Zhu 001 (CoRR, 2021)

Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum. - Zeyang Zhang 001; Ziwei Zhang 001; Xin Wang 019; Wenwu Zhu 001 (AAAI, 2022)

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search. - Yijian Qin; Ziwei Zhang 001; Xin Wang 019; Zeyang Zhang 001; Wenwu Zhu 001 (NeurIPS, 2022)

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Zhou Qin; Wenwu Zhu 001 (NeurIPS, 2022)

Dynamic Heterogeneous Graph Attention Neural Architecture Search. - Zeyang Zhang 001; Ziwei Zhang 001; Xin Wang 019; Yijian Qin; Zhou Qin; Wenwu Zhu 001 (AAAI, 2023)

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Zhou Qin; Weigao Wen; Hui Xue 001; Haoyang Li 001; Wenwu Zhu 001 (NeurIPS, 2023)

Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Guangyao Shen; Shiqi Shen; Wenwu Zhu 001 (NeurIPS, 2023)

Large Graph Models: A Perspective. - Ziwei Zhang 001; Haoyang Li 001; Zeyang Zhang 001; Yijian Qin; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2023)

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs? - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Yijian Qin; Simin Wu; Wenwu Zhu 001 (CoRR, 2023)

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion. - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (CoRR, 2023)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction. - Zeyang Zhang 001; Xingwang Li; Fei Teng; Ning Lin; Xueling Zhu; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2023)

LLM4VG: Large Language Models Evaluation for Video Grounding. - Wei Feng; Xin Wang 019; Hong Chen 011; Zeyang Zhang 001; Zihan Song 003; Yuwei Zhou; Wenwu Zhu 001 (CoRR, 2023)

RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yuan Meng; Fang Shen; Yue Li; Jialong Wang; Yang Li 104; Wenwu Zhu 001 (CIKM, 2024)

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization. - Haoyang Li 001; Xin Wang 019; Zeyang Zhang 001; Haibo Chen 008; Ziwei Zhang 001; Wenwu Zhu 001 (ICML, 2024)

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet. - Zeyang Zhang 001; Xin Wang 019; Yijian Qin; Hong Chen 011; Ziwei Zhang 001; Xu Chu; Wenwu Zhu 001 (ICML, 2024)

Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification. - Beini Xie; Heng Chang; Ziwei Zhang 001; Zeyang Zhang 001; Simin Wu; Xin Wang 019; Yuan Meng; Wenwu Zhu 001 (KDD, 2024)

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? - Zeyang Zhang 001; Xin Wang 019; Ziwei Zhang 001; Haoyang Li 001; Yijian Qin; Wenwu Zhu 001 (KDD, 2024)

DisenStudio: Customized Multi-Subject Text-to-Video Generation with Disentangled Spatial Control. - Hong Chen 011; Xin Wang 019; Yipeng Zhang 003; Yuwei Zhou; Zeyang Zhang 001; Siao Tang; Wenwu Zhu 001 (ACM Multimedia, 2024)

VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding. - Houlun Chen; Xin Wang 019; Hong Chen 011; Zeyang Zhang 001; Wei Feng; Bin Huang; Jia Jia 001; Wenwu Zhu 001 (NeurIPS, 2024)

Exploring the Potential of Large Language Models in Graph Generation. - Yang Yao 003; Xin Wang 019; Zeyang Zhang 001; Yijian Qin; Ziwei Zhang 001; Xu Chu; Yuekui Yang; Wenwu Zhu 001; Hong Mei 001 (CoRR, 2024)

LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yuan Meng; Fang Shen; Yue Li; Jialong Wang; Yang Li 104; Wenweu Zhu (CoRR, 2024)

Causal-Aware Graph Neural Architecture Search under Distribution Shifts. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yijian Qin; Ziwei Zhang 001; Jialong Wang; Yang Li 104; Wenwu Zhu 001 (CoRR, 2024)

Multi-sentence Video Grounding for Long Video Generation. - Wei Feng; Xin Wang 019; Hong Chen 011; Zeyang Zhang 001; Wenwu Zhu 001 (CoRR, 2024)

Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond. - Hong Chen 011; Xin Wang 019; Yuwei Zhou; Bin Huang; Yipeng Zhang 003; Wei Feng; Houlun Chen; Zeyang Zhang 001; Siao Tang; Wenwu Zhu 001 (CoRR, 2024)

Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM. - Xin Wang 019; Haoyang Li 001; Zeyang Zhang 001; Wenwu Zhu 001 (WWW (Companion Volume), 2025)

Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation. - Zeyang Zhang 001; Xin Wang 019; Haibo Chen 008; Haoyang Li 001; Wenwu Zhu 001 (ACM Trans. Inf. Syst., 2025)

Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models. - Xin Wang 019; Haoyang Li 001; Zeyang Zhang 001; Haibo Chen 008; Wenwu Zhu 001 (CoRR, 2025)

Towards Multi-modal Graph Large Language Model. - Xin Wang 019; Zeyang Zhang 001; Linxin Xiao; Haibo Chen 008; Chendi Ge; Wenwu Zhu 001 (CoRR, 2025)

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning. - Chendi Ge; Xin Wang 019; Zeyang Zhang 001; Hong Chen 011; Jiapei Fan; Longtao Huang; Hui Xue 001; Wenwu Zhu 001 (CoRR, 2025)