Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition. - Yue Ding 001; Dong Wang 024; Xin Xin 003 (KSEM, 2015)

User Actions and Timestamp Based Personalized Recommendation for E-Commerce System. - Congcong Chen; Dong Wang 024; Yue Ding 001 (CIT, 2016)

FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems. - Xin Xin 003; Dong Wang 024; Yue Ding 001; Chen Lini (APWeb (2), 2016)

SocialFM: A Social Recommender System with Factorization Machines. - Juming Zhou; Dong Wang 024; Yue Ding 001; Litian Yin (WAIM (1), 2016)

PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems. - Jie Liu 002; Dong Wang 024; Yue Ding 001 (ACML, 2017)

SoGeM: Social Based Generative Model for Top-N Recommendation. - Litian Yin; Dong Wang 024; Xin Xin 003; Yue Ding 001 (ICTAI, 2017)

HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback. - Lini Chen; Xin Xin 003; Dong Wong; Yue Ding 001 (MDM, 2017)

SGMR: Sentiment-Aligned Generative Model for Reviews. - He Zou; Litian Yin; Dong Wang 024; Yue Ding 001 (WISE (2), 2017)

Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation. - Yue Ding 001; Dong Wang 024; Guoqiang Li 001; Daniel Sun 004; Xin Xin 003; Shiyou Qian (Softw. Pract. Exp., 2017)

Deep Feature Fusion over Multi-field Categorical Data for Rating Prediction. - Yue Ding 001; Jie Liu 002; Dong Wang 024 (AICCC, 2018)

SCFM: Social and crowdsourcing factorization machines for recommendation. - Yue Ding 001; Dong Wang 024; Xin Xin 003; Guoqiang Li 001; Daniel Sun 004; Xuezhi Zeng; Rajiv Ranjan 001 (Appl. Soft Comput., 2018)

CFM: Convolutional Factorization Machines for Context-Aware Recommendation. - Xin Xin 003; Bo Chen 023; Xiangnan He 001; Dong Wang 024; Yue Ding 001; Joemon M. Jose (IJCAI, 2019)

AIRec: Attentive Intersection Model for Tag-Aware Recommendation. - Bo Chen 023; Dong Wang 024; Yue Ding 001; Xin Xin 003 (ISWC (Satellites), 2019)

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. - Bo Chen 023; Wei Guo 006; Ruiming Tang; Xin Xin 003; Yue Ding 001; Xiuqiang He 001; Dong Wang 024 (CIKM, 2020)

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. - Yue Ding 001; Yuxiang Shi; Bo Chen 023; Chenghua Lin; Hongtao Lu 001; Jie Li 002; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

Extracting Attentive Social Temporal Excitation for Sequential Recommendation. - Yunzhe Li 001; Yue Ding 001; Bo Chen 023; Xin Xin 003; Yule Wang; Yuxiang Shi; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

Feedforward Neural Network Assisted Configuration Transition Control of Continuum Surgical Manipulators. - Yifan Wang; Chuanxiang Zhu; Yue Ding 001; Bo Feng; Kai Xu 001 (M2VIP, 2021)

Design and Modeling of a Reloadable Coil-Delivery Instrument for Aneurysm Embolization. - Chuanxiang Zhu; Yifan Wang; Yue Ding 001; Xiang Wang; Kai Xu 001 (ROBIO, 2021)

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. - Hao Chen 099; Xin Xin 003; Dong Wang 024; Yue Ding 001 (WSDM, 2021)

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. - Zhe Xie; Chengxuan Liu; Yichi Zhang; Hongtao Lu 001; Dong Wang 024; Yue Ding 001 (WWW, 2021)

DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. - Yule Wang; Qiang Luo; Yue Ding 001; Dong Wang 024; Hongbo Deng (CoRR, 2021)

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation. - Yule Wang; Xin Xin 003; Yue Ding 001; Dong Wang 024 (CoRR, 2021)

FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform. - Runyuan Cai; Yue Ding 001; Hongtao Lu 001 (CoRR, 2021)

AIRec: Attentive intersection model for tag-aware recommendation. - Bo Chen 023; Yue Ding 001; Xin Xin 003; Yunzhe Li 001; Yule Wang; Dong Wang 024 (Neurocomputing, 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems. - Shijing Yuan; Jie Li 002; Yuxuan Zhu; Chentao Wu; Yue Ding 001 (GLOBECOM, 2022)

Incorporating Trocar Clearance in the Kinematics of Multi-Backbone Continuum Robots for Single-Port Surgery. - Yue Ding 001; Xiang Wang; Haomin Kuang; Kai Xu 001 (ROBIO, 2022)

A Novel Electrode Arrangement for Bipolar Electrosurgical Instruments to Reduce Thermal Spread and Tissue Adhesion: A Proof-of-Concept Study. - Yue Ding 001; Baibo Wu; Chuanxiang Zhu; Kai Xu 001 (ROBIO, 2022)

FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot. - Xiang Wang; Yue Ding 001; Chang Zhou; Kai Xu 001 (ROBIO, 2022)

GraphCoCo: Graph Complementary Contrastive Learning. - Jiawei Sun; Junchi Yan; Chentao Wu; Yue Ding 001; Ruoxin Chen; Xiang Yu; Xinyu Lu; Jie Li 002 (CoRR, 2022)

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation. - Yuxiang Shi; Yue Ding 001; Bo Chen 023; Yuyang Huang; Ruiming Tang; Dong Wang 024 (CoRR, 2022)

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

Completely Heterogeneous Federated Learning. - Chang Liu 078; Yuwen Yang; Xun Cai; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

Evaluating Performance Portability of SYCL and Kokkos: A Case Study on LBM Simulations. - Yue Ding 001; Chuanfu Xu; Haozhong Qiu; Qingsong Wang; Weixi Dai; Yongzhen Lin; Yonggang Che (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Spammer Detection on Short Video Applications: A new Challenge and Baselines. - Muyang Yi; Dong Liang; Rui Wang; Yue Ding 001; Hongtao Lu 001 (ICASSP, 2023)

Scale-Aware Task Message Transferring for Multi-Task Learning. - Shalayiding Sirejiding; Yuxiang Lu; Hongtao Lu 001; Yue Ding 001 (ICME, 2023)

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 001; Yonggang Che (ICPADS, 2023)

Position-Aware Subgraph Neural Networks with Data-Efficient Learning. - Chang Liu 078; Yuwen Yang; Zhe Xie; Hongtao Lu 001; Yue Ding 001 (WSDM, 2023)

Towards Hetero-Client Federated Multi-Task Learning. - Yuxiang Lu; Suizhi Huang; Yuwen Yang; Shalayiding Sirejiding; Yue Ding 001; Hongtao Lu 001 (CoRR, 2023)

Towards Ultrasonic Scalpel for Single-Port Robotic Surgery: Design of a Miniature Langevin Ultrasonic Transducer. - Yuzhen Cao; Yue Ding 001; Chuanxiang Zhu; Haomin Kuang; Ren Zhao; Kai Xu 001 (AIM, 2024)

Fedhca2: Towards Hetero-Client Federated Multi-Task Learning. - Yuxiang Lu; Suizhi Huang; Yuwen Yang; Shalayiding Sirejiding; Yue Ding 001; Hongtao Lu 001 (CVPR, 2024)

Towards Mixture of Task-Intensive Experts for Multi-task Recommendation. - Xun Cai; Yuxiang Lu; Hongtao Lu 001; Yue Ding 001 (DASFAA (3), 2024)

Mediate: Mixture Domain Model-Agnostic Federated Learning. - Chang Liu 078; Yuwen Yang; Xun Cai; Yue Ding 001; Hongtao Lu 001 (DASFAA (1), 2024)

YOLO-Med : Multi-Task Interaction Network for Biomedical Images. - Suizhi Huang; Shalayiding Sirejiding; Yuxiang Lu; Yue Ding 001; Leheng Liu; Hui Zhou; Hongtao Lu 001 (ICASSP, 2024)

Task Indicating Transformer for Task-Conditional Dense Predictions. - Yuxiang Lu; Shalayiding Sirejiding; Bayram Bayramli; Suizhi Huang; Yue Ding 001; Hongtao Lu 001 (ICASSP, 2024)

UNIDEAL: Curriculum Knowledge Distillation Federated Learning. - Yuwen Yang; Chang Liu 078; Xun Cai; Suizhi Huang; Hongtao Lu 001; Yue Ding 001 (ICASSP, 2024)

Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer. - Ziru Zeng; Yue Ding 001; Hongtao Lu 001 (ICASSP, 2024)

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. - Jiawei Sun; Kailai Li 002; Ruoxin Chen; Jie Li 002; Chentao Wu; Yue Ding 001; Junchi Yan (ICLR, 2024)

CGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning. - Longjie Qi; Yue Ding 001; Hongtao Lu 001 (ICME, 2024)

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. - Zhaozhi Xie; Bochen Guan; Weihao Jiang; Muyang Yi; Yue Ding 001; Hongtao Lu 001; Lei Zhang 006 (ICME, 2024)

BARTENDER: A simple baseline model for task-level heterogeneous federated learning. - Yuwen Yang; Yuxiang Lu; Suizhi Huang; Shalayiding Sirejiding; Chang Liu 078; Muyang Yi; Zhaozhi Xie; Yue Ding 001; Hongtao Lu 001 (ICME, 2024)

Decoupling Classification and Localization of CLIP. - Muyang Yi; Zhaozhi Xie; Yuwen Yang; Chang Liu 078; Yue Ding 001; Hongtao Lu 001 (ICME Workshops, 2024)

Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation. - Bayram Bayramli; Yue Ding 001; Hongtao Lu 001 (IJCNN, 2024)

Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. - Chang Liu 078; Qiwei Wang; Wenqing Lin; Yue Ding 001; Hongtao Lu 001 (KDD, 2024)

DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001; Wenqing Lin; Ziming Wu; Wendong Bi (KDD, 2024)

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study. - Yuwen Yang; Yuxiang Lu; Suizhi Huang; Shalayiding Sirejiding; Hongtao Lu 001; Yue Ding 001 (ICMR, 2024)

Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation. - Shalayiding Sirejiding; Bayram Bayramli; Yuxiang Lu; Yuwen Yang; Tamam Alsarhan; Hongtao Lu 001; Yue Ding 001 (ACM Multimedia, 2024)

Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores. - Haozhong Qiu; Chuanfu Xu; Jianbin Fang; Liang Deng; Jian Zhang; Qingsong Wang; Yue Ding 001; Zhe Dai; Yonggang Che; Shizhao Chen; Jie Liu 002 (PPoPP, 2024)

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 001; Qingsong Wang; Shizhao Chen; Yonggang Che; Jie Liu 002 (SC, 2024)

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. - Jiyuan Yang; Yue Ding 001; Yidan Wang; Pengjie Ren; Zhumin Chen; Fei Cai; Jun Ma 001; Rui Zhang 003; Zhaochun Ren; Xin Xin 003 (WSDM, 2024)

Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training. - Huayi Zhou 001; Mukun Luo; Fei Jiang 006; Yue Ding 001; Hongtao Lu 001 (CoRR, 2024)

Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting. - Weihao Jiang; Zhaozhi Xie; Yuxiang Lu; Longjie Qi; Jingyong Cai; Hiroyuki Uchiyama; Bin Chen; Yue Ding 001; Hongtao Lu 001 (CoRR, 2024)

Towards Personalized Federated Multi-scenario Multi-task Recommendation. - Yue Ding 001; Yanbiao Ji; Xun Cai; Xin Xin 003; Xiaofeng Gao 001; Hongtao Lu 001 (CoRR, 2024)

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. - Yanbiao Ji; Chang Liu 078; Xin Chen 077; Yue Ding 001; Dan Luo; Mei Li; Wenqing Lin; Hongtao Lu 001 (CoRR, 2024)

Differentiable Gaussian Representation for Incomplete CT Reconstruction. - Shaokai Wu; Yuxiang Lu; Wei Ji; Suizhi Huang; Fengyu Yang; Shalayiding Sirejiding; Qichen He; Jing Tong; Yanbiao Ji; Yue Ding 001; Hongtao Lu 001 (CoRR, 2024)

Topology-Aware Popularity Debiasing via Simplicial Complexes. - Yanbiao Ji; Yue Ding 001; Chang Liu 078; Yuxiang Lu; Xin Xin 003; Hongtao Lu 001 (CoRR, 2024)

TFUT: Task fusion upward transformer model for multi-task learning on dense prediction. - Zewei Xin; Shalayiding Sirejiding; Yuxiang Lu; Yue Ding 001; Chunlin Wang; Tamam Alsarhan; Hongtao Lu 001 (Comput. Vis. Image Underst., 2024)

Prompt Guided Transformer for Multi-Task Dense Prediction. - Yuxiang Lu; Shalayiding Sirejiding; Yue Ding 001; Chunlin Wang; Hongtao Lu 001 (IEEE Trans. Multim., 2024)

Spammer detection on short video applications. - Muyang Yi; Dong Liang; Rui Wang; Yue Ding 001; Hongtao Lu 001 (Pattern Recognit. Lett., 2024)

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach. - Shijing Yuan; Beiyu Dong; Hongtao Lv; Hongze Liu; Hongyang Chen; Chentao Wu; Song Guo 001; Yue Ding 001; Jie Li 002 (IEEE Internet Things J., 2024)

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. - Huayi Zhou 001; Fei Jiang 006; Jiaxin Si; Yue Ding 001; Hongtao Lu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective. - Shalayiding Sirejiding; Bayram Bayramli; Yuxiang Lu; Suizhi Huang; Hongtao Lu 001; Yue Ding 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. - Yue Ding 001; Yanbiao Ji; Xun Cai; Xin Xin 003; Yuxiang Lu; Suizhi Huang; Chang Liu 078; Xiaofeng Gao 001; Tsuyoshi Murata; Hongtao Lu 001 (WSDM, 2025)

Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. - Jiawei Sun; Ruoxin Chen; Jie Li 002; Yue Ding 001; Chentao Wu; Zhi Liu 002; Junchi Yan (Neural Networks, 2025)

Learning Auxiliary Representations With Inconsistency-Guided Detail Regularization for Mask-Guided Matting. - Weihao Jiang; Zhaozhi Xie; Yuxiang Lu; Longjie Qi; Jingyong Cai; Hiroyuki Uchiyama; Bin Chen; Yue Ding 001; Hongtao Lu 001 (IEEE Trans. Multim., 2025)

Generating Negative Samples for Multi-Modal Recommendation. - Yanbiao Ji; Yue Ding 001; Dan Luo; Chang Liu 078; Jing Tong; Shaokai Wu; Hongtao Lu 001 (CoRR, 2025)

BECAME: BayEsian Continual Learning with Adaptive Model MErging. - Mei Li; Yuxiang Lu; Qinyan Dai; Suizhi Huang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2025)