Wei Ju
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
17
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing. | 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 | AAAI | FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering. | Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju |
| 2026 | AAAI | Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data. | Wei Zhang, Siyu Yi, Lezhi Chen, Yifan Wang, Ziyue Qiao, Yongdao Zhou, Wei Ju |
| 2026 | ACL | Calibrating Inference Time Alignment with Sequence-level Risk Accumulation. | Shanwen Tan, Ziyang Dong, Wei Ju, Yiwei Fu, Hao Wu, Kun Wang, Yifan Wang, Ziyue Qiao |
| 2026 | ACL | DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models. | Shunge Zou, Changhu Wang, Wei Ju, Ziyue Qiao, Xiao Luo |
| 2026 | KDD | Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning. | Yuhang Pei, Fanchun Meng, Qinghua Ran, Tao Ren, Yifan Wang, Wei Ju, Zimo Wang, Xian-Sheng Hua, Xiao Luo |
| 2026 | KDD | DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation. | Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo |
| 2026 | WWW | Long-Tailed Recognition of Evidential Experts for Graph-level Classification. | Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang |
| 2026 | WWW | KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection. | Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ACL | A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. | Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang |
| 2025 | ACL | Embracing Large Language Models in Traffic Flow Forecasting. | Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2025 | EMNLP | HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning. | Ruochang Li, Xiao Luo, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2025 | EMNLP | LEAF: Large Language Diffusion Model for Time Series Forecasting. | Yuhang Pei, Tao Ren, Yifan Wang, Zhipeng Sun, Wei Ju, Chong Chen, XianSheng Hua, Xiao Luo |
| 2025 | EMNLP | Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. | Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models. | Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | IJCAI | 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 |
| 2025 | KDD | Future Matters for Present: Towards Effective Physical Simulation over Meshes. | Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun |
| 2025 | NAACL | MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. | 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 | NAACL | Semi-supervised Fine-tuning for Large Language Models. | Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2025 | SMC | A Multimodal Perception System for Predicting Restorative Effect in University Open Spaces. | Jiazhen Huang, Ruoling Qi, Jiayi Liu, Tengfei Han, Fansheng Zhang, Jieqian Sun, Wei Zhao, Wei Ju |
| 2024 | CIKM | MOAT: Graph Prompting for 3D Molecular Graphs. | Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | A Survey of Data-Efficient Graph Learning. | Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang |
| 2023 | AAAI | GLCC: A General Framework for Graph-Level Clustering. | Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang |
| 2023 | ICASSP | Learning on Graphs under Label Noise. | Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang |
| 2023 | ICDE | Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. | Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang |
| 2023 | ICML | 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 |
| 2023 | WSDM | DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. | Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang |
| 2022 | AAAI | 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 |
| 2022 | ICDE | DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. | Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang |
| 2022 | ICDM | Kernel-based Substructure Exploration for Next POI Recommendation. | Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang |
| 2022 | ICONIP | Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. | Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie |
| 2022 | IJCAI | 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 |
| 2022 | WSDM | KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. | Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang |
| 2021 | ICONIP | Deep Supervised Hashing by Classification for Image Retrieval. | Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng |
| 2021 | ICTAI | An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability. | Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng |