Ju, Wei

29 publications

ICLR 2026 Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering Wei Ju, Siyu Yi, Kangjie Zheng, Yifan Wang, Ziyue Qiao, Li Shen, Yongdao Zhou, Xiaochun Cao, Jiancheng Lv

ICLR 2026 Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing Junyu Luo, Jinsheng Huang, Yang Xu, Lutong Zou, Xiao Luo, Bohan Wu, Yifan Wang, Wei Ju, Ming Zhang

ICLR 2026 Dynamic Multi-Sample Mixup with Gradient Exploration for Open-Set Graph Anomaly Detection Caiyang Yu, Wei Ju, Haixin Wang, Yifan Wang, Ziyue Qiao

ICLR 2026 Hierarchical Encoding Tree with Modality Mixup for Cross-Modal Hashing Zhiping Xiao, Junyu Luo, Hang Zhou, Yusheng Zhao, Xiao Luo, Pengyun Wang, Wei Ju, Siyu Heng, Ming Zhang

ICLR 2026 PRISM: Partial-Label Relational Inference with Spatial and Spectral Cues Yiyang Gu, Wenrui Wu, Yifang Qin, Taian Guo, Tao Zhe, Jiaru Tang, Zhiping Xiao, Weizhi Zhang, Ziyue Qiao, Wei Ju, Dongjie Wang, Xiao Luo, Philip S. Yu, Ming Zhang

ACML 2025 Bridging the Gap Between Learning and Inference for Diffusion-Based Molecule Generation Peidong Liu, Wenbo Zhang, Wei Ju, Jiancheng Lv, Xianggen Liu

AAAI 2025 Cluster-Guided Contrastive Class-Imbalanced Graph Classification Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang

ICML 2025 DANCE: Dual Unbiased Expansion with Group-Acquired Alignment for Out-of-Distribution Graph Fairness Learning Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo

AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju

NeurIPS 2025 Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Junyu Luo, Yusheng Zhao, Xiao Luo, Jiancheng Lv

NeurIPS 2025 Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

ICML 2025 ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

IJCAI 2025 PALA: Class-Imbalanced Graph Domain Adaptation via Prototype-Anchored Learning and Alignment Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv

NeurIPS 2025 SEGA: Shaping Semantic Geometry for Robust Hashing Under Noisy Supervision Yiyang Gu, Bohan Wu, Qinghua Ran, Rong-Cheng Tu, Xiao Luo, Zhiping Xiao, Wei Ju, Dacheng Tao, Ming Zhang

ICLR 2025 SMI-Editor: Edit-Based SMILES Language Model with Fragment-Level Supervision Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

ICML 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

AAAI 2025 TRACI: A Data-Centric Approach for Multi-Domain Generalization on Graphs Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

ICML 2025 Test-Time Adaptation on Graphs via Adaptive Subgraph-Based Selection and Regularized Prototypes Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

IJCAI 2024 A Survey of Data-Efficient Graph Learning Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

NeurIPS 2024 EGODE: An Event-Attended Graph ODE Framework for Modeling Rigid Dynamics Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang

ICML 2024 Hypergraph-Enhanced Dual Semi-Supervised Graph Classification Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

ICML 2024 PGODE: Towards High-Quality System Dynamics Modeling Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

IJCAI 2024 Rank and Align: Towards Effective Source-Free Graph Domain Adaptation Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang

AAAI 2023 GLCC: A General Framework for Graph-Level Clustering Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang

ICML 2023 HOPE: High-Order Graph ODE for Modeling Interacting Dynamics Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

TMLR 2023 RIGNN: A Rationale Perspective for Semi-Supervised Open-World Graph Classification Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

TMLR 2023 Zero-Shot Node Classification with Graph Contrastive Embedding Network Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang

AAAI 2022 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

IJCAI 2022 TGNN: A Joint Semi-Supervised Framework for Graph-Level Classification Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang