| 2026 | WSDM | Decoupling User Features for User Cold-Start App Recommendation: Static Attributes versus Behavioral Sequences. | Bin Chen, Yu Kang, Li Ma, Yue Ding, Xiaofeng Gao |
| 2025 | CIKM | From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. | Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu |
| 2025 | DAC | Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel. | Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Shengguo Li, Liang Deng, Jian Zhang, Zhe Dai, Yue Ding, Yue Wang, Zhimeng Han, Yonggang Che, Jie Liu |
| 2025 | EMNLP | Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models. | Qiang Liu, Xinlong Chen, Yue Ding, Bowen Song, Weiqiang Wang, Shu Wu, Liang Wang |
| 2025 | EMNLP | SHARP: Steering Hallucination in LVLMs via Representation Engineering. | Junfei Wu, Yue Ding, Guofan Liu, Tianze Xia, Ziyue Huang, Dianbo Sui, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan |
| 2025 | ICANN | Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild. | Xinyi Hou, Huayi Zhou, Yue Ding, Hongtao Lu |
| 2025 | ICCV | Discretized Gaussian Representation for Tomographic Reconstruction. | Shaokai Wu, Yuxiang Lu, Yapan Guo, Wei Ji, Suizhi Huang, Fengyu Yang, Shalayiding Sirejiding, Qichen He, Jing Tong, Yanbiao Ji, Yue Ding, Hongtao Lu |
| 2025 | ICML | BECAME: Bayesian Continual Learning with Adaptive Model Merging. | Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu |
| 2025 | IJCNN | Neural Adaptive Dependent Task Placement for IoT Streaming Applications. | Yue Ding, Yufeng Li, Chenhong Cao, Qi Liu |
| 2025 | SMC | Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis. | Yue Ding, Conor McCarthy, Kevin O'Shea, Mingming Liu |
| 2025 | WSDM | Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. | Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu |
| 2024 | CSCWD | LDAG: Modeling Long-term interests by Directed Acyclic Graph Neural Network for Sequential Recommendation. | Yifan Zhou, Yue Ding, Dong Wang |
| 2024 | CVPR | Fedhca | Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu |
| 2024 | DASFAA | Towards Mixture of Task-Intensive Experts for Multi-task Recommendation. | Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding |
| 2024 | DASFAA | Mediate: Mixture Domain Model-Agnostic Federated Learning. | Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu |
| 2024 | ICASSP | YOLO-Med : Multi-Task Interaction Network for Biomedical Images. | Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu |
| 2024 | ICASSP | Task Indicating Transformer for Task-Conditional Dense Predictions. | Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu |
| 2024 | ICASSP | UNIDEAL: Curriculum Knowledge Distillation Federated Learning. | Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding |
| 2024 | ICASSP | Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer. | Ziru Zeng, Yue Ding, Hongtao Lu |
| 2024 | ICLR | InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. | Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan |
| 2024 | IJCNN | Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation. | Bayram Bayramli, Yue Ding, Hongtao Lu |
| 2024 | KDD | Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. | Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu |
| 2024 | KDD | DAG: Deep Adaptive and Generative | Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi |
| 2024 | PPoPP | Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores. | Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu |
| 2024 | SC | A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication. | Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Yue Ding, Qingsong Wang, Shizhao Chen, Yonggang Che, Jie Liu |
| 2024 | WSDM | Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. | Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin |
| 2023 | ICASSP | Spammer Detection on Short Video Applications: A new Challenge and Baselines. | Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu |
| 2023 | ICPADS | Developing a proxy application for an industrial unstructured CFD software: preliminary results. | Qingsong Wang, Chuanfu Xu, Jian Zhang, Liang Deng, Zhe Dai, Haozhong Qiu, Weixi Dai, Yongzhen Lin, Yue Ding, Yonggang Che |
| 2023 | WSDM | Position-Aware Subgraph Neural Networks with Data-Efficient Learning. | Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding |
| 2022 | CIKM | Numerical Feature Representation with Hybrid | Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang |
| 2022 | GLOBECOM | An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems. | Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding |
| 2022 | MICCAI | Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. | Chunmei Xia, Yue Ding, Jionglin Wu, Wenqiang Luo, Peidong Guo, Tianfu Wang, Baiying Lei |
| 2021 | CIKM | Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. | Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang |
| 2021 | CIKM | Extracting Attentive Social Temporal Excitation for Sequential Recommendation. | Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang |
| 2021 | ICONIP | WikiFlash: Generating Flashcards from Wikipedia Articles. | Yuang Cheng, Yue Ding, Sbastien Foucher, Damin Pascual, Oliver Richter, Martin Volk, Roger Wattenhofer |
| 2021 | WWW | Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. | Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding |
| 2021 | WSDM | Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. | Hao Chen, Xin Xin, Dong Wang, Yue Ding |
| 2020 | CIKM | TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. | Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang |
| 2020 | ICDE | DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening. | Feiyang Xu, Yue Ding, Zhenhua Ling, Xin Li, Yunxia Li, Shijin Wang |
| 2019 | IJCAI | CFM: Convolutional Factorization Machines for Context-Aware Recommendation. | Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose |
| 2017 | ACML | PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems. | Jie Liu, Dong Wang, Yue Ding |
| 2017 | ICTAI | SoGeM: Social Based Generative Model for Top-N Recommendation. | Litian Yin, Dong Wang, Xin Xin, Yue Ding |
| 2017 | ISPA | Joint Resource Optimization of Shared Electric Bicycles in Smart Cities. | Peng Liu, Yue Ding, Tingting Fu, Dagang Li |
| 2017 | MDM | HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback. | Lini Chen, Xin Xin, Dong Wong, Yue Ding |
| 2017 | PAKDD | Community Detection in Graph Streams by Pruning Zombie Nodes. | Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2017 | WISE | SGMR: Sentiment-Aligned Generative Model for Reviews. | He Zou, Litian Yin, Dong Wang, Yue Ding |
| 2016 | APWEB | FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems. | Xin Xin, Dong Wang, Yue Ding, Chen Lini |
| 2015 | KSEM | Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition. | Yue Ding, Dong Wang, Xin Xin |