Wei Ju

138 papers A* 32A 3B 1Misc 1Journal 88Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026 A* conf
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.
AAAI
Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang
2026 J jnl
DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.
IEEE Trans. Multim.
Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, Ming Zhang
2026 J jnl
Deep cut-informed graph embedding and clustering.
Inf. Fusion
Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen
2026 J jnl
DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering.
CoRR
Haotian Chen, Qingqing Long, Siyu Pu, Xiao Luo, Wei Ju, Meng Xiao, Yuanchun Zhou, Jianghua Zhao, Xuezhi Wang
2026 — conf
DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation.
KDD (1)
Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo
2026 — conf
Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning.
KDD (1)
Yuhang Pei, Fanchun Meng, Qinghua Ran, Tao Ren, Yifan Wang, Wei Ju, Zimo Wang, Xian-Sheng Hua, Xiao Luo
2026 A* conf
Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data.
AAAI
Wei Zhang, Siyu Yi, Lezhi Chen, Yifan Wang, Ziyue Qiao, Yongdao Zhou, Wei Ju
2026 A* conf
FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering.
AAAI
Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju
2026 J jnl
IF4FD: Multiscale Information Fusion for Zero-Shot Industrial Fault Diagnosis.
IEEE Trans. Ind. Informatics
Chenwei Tang, Ying Wang, Weijia Wang, Wangyang Ying, Jie Liu, Yong Wang, Nanxu Gong, Wei Ju, Rong Xiao, Jiancheng Lv
2026 J jnl
Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.
CoRR
Wei Ju, Wei Zhang, Siyu Yi, Zhengyang Mao, Yifan Wang, Jingyang Yuan, Zhiping Xiao, Ziyue Qiao, Ming Zhang
2026 A* conf
KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.
WWW
Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju
2026 A* conf
Long-Tailed Recognition of Evidential Experts for Graph-level Classification.
WWW
Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang
2026 J jnl
Optimizing few-shot distribution estimation with negative calibration mitigation.
Neurocomputing
Juan Zhao, Lili Kong, Chenwei Tang, Wei Ju, Deng Xiong, Jiancheng Lv
2026 J jnl
Robust Cross Supervision With Target Mining for Source-Free Graph Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Junyu Luo, Haoyu Tao, Xiao Luo, Yusheng Zhao, Zhiping Xiao, Dailan He, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2026 J jnl
SPOT: Spectral Optimal Transport for Graph Domain Generalization.
ACM Trans. Knowl. Discov. Data
Yusheng Zhao, Xiao Luo, Junyu Luo, Wei Ju, Zhonghui Gu, Zhiping Xiao, Xian-Sheng Hua, Ming Zhang
2026 J jnl
TowerDNA: Fast and Accurate Graph Retrieval With Dividing, Contrasting and Alignment.
IEEE Trans. Knowl. Data Eng.
Junwei Yang, Yiyang Gu, Yifang Qin, Xiao Luo, Zhiping Xiao, Kangjie Zheng, Wei Ju, Xian-Sheng Hua, Ming Zhang
2025 — conf
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
ACL (1)
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
CoRR
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 A* conf
CODE: Towards Partial Label Graph Learning via Coupled Dual Separation.
ACM Multimedia
Yiyang Gu, Taian Guo, Hang Zhou, Zihao Chen, Zhiping Xiao, Yifang Qin, Xiao Luo, Wei Ju, Yifan Wang, Ming Zhang
2025 J jnl
Cluster-Aware Few-Shot Molecular Property Prediction With Factor Disentanglement.
IEEE Trans. Neural Networks Learn. Syst.
Haodong Zhang, Tao Ren, Yifan Wang, Fanchun Meng, Wei Ju, Ying Tian
2025 A* conf
Cluster-guided Contrastive Class-imbalanced Graph Classification.
AAAI
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2025 J jnl
Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval.
IEEE Trans. Image Process.
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 J jnl
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval.
CoRR
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 A* conf
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.
ICML
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
2025 A* conf
DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization.
ACM Multimedia
Jiayi Zeng, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Zhipeng Sun, Xiao Luo
2025 J jnl
Deep Cut-informed Graph Embedding and Clustering.
CoRR
Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen
2025 A* conf
Deep Graph Clustering with Disentangled Representation Learning.
ACM Multimedia
Yifan Wang, Yuntai Ding, Yiyang Gu, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 A* conf
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
AAAI
Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
2025 J jnl
DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 J jnl
Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs.
CoRR
Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 — conf
Embracing Large Language Models in Traffic Flow Forecasting.
ACL (Findings)
Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 A* conf
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models.
ICML
Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2025 J jnl
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models.
CoRR
Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2025 — conf
Future Matters for Present: Towards Effective Physical Simulation over Meshes.
KDD (1)
Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun
2025 J jnl
GMR-Rec: Graph mutual regularization learning for multi-domain recommendation.
Inf. Sci.
Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju
2025 J jnl
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.
Sci. China Inf. Sci.
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2025 — conf
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning.
EMNLP (Findings)
Ruochang Li, Xiao Luo, Zhiping Xiao, Wei Ju, Ming Zhang
2025 J jnl
Hypergraph Consistency Learning With Relational Distillation.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Yifan Wang, Yiyang Gu, Zhiping Xiao, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 — conf
LEAF: Large Language Diffusion Model for Time Series Forecasting.
EMNLP (Findings)
Yuhang Pei, Tao Ren, Yifan Wang, Zhipeng Sun, Wei Ju, Chong Chen, Xiansheng Hua, Xiao Luo
2025 J jnl
Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR
Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025 J jnl
Learning Generalizable Contrastive Representations for Graph Zero-Shot Learning.
IEEE Trans. Multim.
Siyu Yi, Zhengyang Mao, Kangjie Zheng, Zhiping Xiao, Ziyue Qiao, Chong Chen, Xian-Sheng Hua, Yong-Dao Zhou, Ming Zhang, Wei Ju
2025 J jnl
Learning Knowledge-diverse Experts for Long-tailed Graph Classification.
ACM Trans. Knowl. Discov. Data
Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025 J jnl
MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning.
CoRR
Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang
2025 J jnl
MATE: Masked optimal transport with dynamic selection for partial label graph learning.
Artif. Intell.
Yiyang Gu, Binqi Chen, Zihao Chen, Ziyue Qiao, Xiao Luo, Junyu Luo, Zhiping Xiao, Wei Ju, Ming Zhang
2025 J jnl
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering.
Inf. Process. Manag.
Tao Ren, Haodong Zhang, Yifan Wang, Wei Ju, Chengwu Liu, Fanchun Meng, Siyu Yi, Xiao Luo
2025 — conf
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
NAACL (Long Papers)
Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
2025 J jnl
Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection.
CoRR
Jingyu Xing, Chenwei Tang, Tao Wang, Rong Xiao, Wei Ju, Ji-Zhe Zhou, Liangli Zhen, Jiancheng Lv
2025 — conf
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.
EMNLP (Findings)
Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 J jnl
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.
CoRR
Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 A* conf
PALA: Class-imbalanced Graph Domain Adaptation via Prototype-anchored Learning and Alignment.
IJCAI
Xin Ma, Yifan Wang, Siyu Yi, Wei Ju, Bei Wu, Ziyue Qiao, Chenwei Tang, Jiancheng Lv
2025 J jnl
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.
ACM Trans. Inf. Syst.
Yifang Qin, Wei Ju, Yiyang Gu, Ziyue Qiao, Zhiping Xiao, Ming Zhang
2025 J jnl
Rethinking neural architecture representation for predictors: Topological encoding in pixel space.
Inf. Fusion
Caiyang Yu, Jian Wang, Yifan Wang, Wei Ju, Chenwei Tang, Jiancheng Lv
2025 J jnl
Reversible Column Disentangled Augmentation Tricks for Graph Contrastive Learning.
IEEE Trans. Multim.
Yuntai Ding, Renshuai Tao, Yifan Wang, Chong Chen, Xian-Sheng Hua, Wei Ju
2025 J jnl
Rewarding the Journey, Not Just the Destination: A Composite Path and Answer Self-Scoring Reward Mechanism for Test-Time Reinforcement Learning.
CoRR
Chenwei Tang, Jingyu Xing, Xinyu Liu, Wei Ju, Jiancheng Lv, Deng Xiong, Ziyue Qiao
2025 A* conf
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.
ICLR
Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2025 J jnl
SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs.
CoRR
Haotian Chen, Qingqing Long, Meng Xiao, Xiao Luo, Wei Ju, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou, Hengshu Zhu
2025 — conf
Semi-supervised Fine-tuning for Large Language Models.
NAACL (Findings)
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 A* conf
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
ICML
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025 J jnl
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
CoRR
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025 A* conf
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs.
AAAI
Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang
2025 A* conf
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes.
ICML
Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang
2024 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
A Diffusion Model for POI Recommendation.
ACM Trans. Inf. Syst.
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2024 A* conf
A Survey of Data-Efficient Graph Learning.
IJCAI
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024 J jnl
A Survey of Data-Efficient Graph Learning.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
2024 J jnl
A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
CoRR
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Inf. Fusion
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
Cluster-guided Contrastive Class-imbalanced Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang
2024 J jnl
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.
CoRR
Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju
2024 J jnl
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.
CoRR
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2024 A* conf
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.
NeurIPS
Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang
2024 J jnl
Embracing Large Language Models in Traffic Flow Forecasting.
CoRR
Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 — conf
Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency.
ACM TUR-C
Wei Ju, Siyu Yi, Ming Zhang
2024 J jnl
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit.
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
2024 J jnl
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang
2024 J jnl
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation.
CoRR
Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang
2024 J jnl
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2024 A* conf
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
ICML
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2024 J jnl
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation.
CoRR
Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
2024 A conf
MOAT: Graph Prompting for 3D Molecular Graphs.
CIKM
Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao
2024 A* conf
PGODE: Towards High-quality System Dynamics Modeling.
ICML
Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun
2024 J jnl
Poisoning medical knowledge using large language models.
Nat. Mac. Intell.
Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang
2024 J jnl
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR
Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang
2024 A* conf
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
IJCAI
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
CoRR
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2024 J jnl
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.
CoRR
Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang
2024 J jnl
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
2024 J jnl
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 J jnl
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.
ACM Trans. Multim. Comput. Commun. Appl.
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
2024 J jnl
Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
2024 J jnl
Towards Semi-Supervised Universal Graph Classification.
IEEE Trans. Knowl. Data Eng.
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
CoRR
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang
2023 J jnl
A Diffusion model for POI recommendation.
CoRR
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2023 A* conf
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
ACM Multimedia
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 J jnl
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 A conf
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
WSDM
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
2023 A* conf
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
ICDE
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
CoRR
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2023 J jnl
FIMO: A Challenge Formal Dataset for Automated Theorem Proving.
CoRR
Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu
2023 J jnl
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.
Neural Networks
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
2023 A* conf
GLCC: A General Framework for Graph-Level Clustering.
AAAI
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2023 J jnl
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
2023 A* conf
HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
ICML
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
CoRR
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2023 Misc conf
Learning on Graphs under Label Noise.
ICASSP
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 J jnl
Learning on Graphs under Label Noise.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 A* conf
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
ACM Multimedia
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
CoRR
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res.
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
CoRR
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2023 J jnl
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data.
CoRR
Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang
2023 J jnl
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
CoRR
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
CoRR
Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
IEEE Trans. Big Data
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Semi-supervised Universal Graph Classification.
CoRR
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 J jnl
Unsupervised graph-level representation learning with hierarchical contrasts.
Neural Networks
Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang
2023 J jnl
Zero-shot Node Classification with Graph Contrastive Embedding Network.
Trans. Mach. Learn. Res.
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
2022 — conf
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.
ICONIP (3)
Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie
2022 A* conf
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.
AAAI
Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang
2022 J jnl
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation.
CoRR
Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang
2022 A* conf
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
ICDE
Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022 J jnl
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Neural Networks
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang
2022 J jnl
GLCC: A General Framework for Graph-level Clustering.
CoRR
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2022 A* conf
Improved Deep Unsupervised Hashing via Prototypical Learning.
ACM Multimedia
Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu
2022 A conf
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.
WSDM
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
2022 J jnl
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification.
CoRR
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
2022 A* conf
Kernel-based Substructure Exploration for Next POI Recommendation.
ICDM
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 J jnl
Kernel-based Substructure Exploration for Next POI Recommendation.
CoRR
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 A* conf
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
IJCAI
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2021 B conf
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.
ICTAI
Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng
2021 — conf
Deep Supervised Hashing by Classification for Image Retrieval.
ICONIP (4)
Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng