Yue Ding

105 papers A* 12A 15B 7C 3Misc 5Journal 46Unranked 17
YearRankTypeTitle / Venue / Authors
2026 A conf
Decoupling User Features for User Cold-Start App Recommendation: Static Attributes versus Behavioral Sequences.
WSDM
Bin Chen, Yu Kang, Li Ma, Yue Ding, Xiaofeng Gao
2026 J jnl
HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling.
CoRR
Mei Li, Huayi Zhou, Suizhi Huang, Yuxiang Lu, Yue Ding, Hongtao Lu
2026 J jnl
HACMatch: Semi-supervised rotation regression with hardness-aware curriculum pseudo labeling.
Comput. Vis. Image Underst.
Mei Li, Huayi Zhou, Suizhi Huang, Yuxiang Lu, Yue Ding, Hongtao Lu
2025 J jnl
BECAME: BayEsian Continual Learning with Adaptive Model MErging.
CoRR
Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu
2025 A* conf
BECAME: Bayesian Continual Learning with Adaptive Model Merging.
ICML
Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu
2025 A* conf
CLIP-MT: Multi-Modal Knowledge-Driven Adaptive Scale Feature Allocation for Multi-Task Dense Prediction.
ACM Multimedia
Shalayiding Sirejiding, Yue Ding, Yuxiang Lu, Xinyi Hou, Shaokai Wu, Qichen He, Chunlin Wang, Wenqiang Guo, Hongtao Lu
2025 J jnl
DAG: Deep Adaptive and Generative
CoRR
Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2025 J jnl
DCSolver: Accelerating Sparse Iterative Solvers via Divide-and-Conquer on GPUs.
ACM Trans. Archit. Code Optim.
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Zhe Dai, Yue Ding, Yue Wang, Zhimeng Han, Yonggang Che, Jie Liu
2025 J jnl
Dejavu: Post-Deployment Learning for Embodied Agents via Experience Feedback.
CoRR
Shaokai Wu, Yanbiao Ji, Qiuchang Li, Zhiyi Zhang, Qichen He, Wenyuan Xie, Guodong Zhang, Bayram Bayramli, Yue Ding, Hongtao Lu
2025 A conf
From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.
CIKM
Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu
2025 A* conf
Generating Negative Samples for Multi-Modal Recommendation.
ACM Multimedia
Yanbiao Ji, Dan Luo, Chang Liu, Shaokai Wu, Jing Tong, Qichen He, Deyi Ji, Hongtao Lu, Yue Ding
2025 J jnl
Generating Negative Samples for Multi-Modal Recommendation.
CoRR
Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Jing Tong, Shaokai Wu, Hongtao Lu
2025 J jnl
Learning Auxiliary Representations With Inconsistency-Guided Detail Regularization for Mask-Guided Matting.
IEEE Trans. Multim.
Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu
2025 A* conf
MORE: Multi-Organ Medical Image REconstruction Dataset.
ACM Multimedia
Shaokai Wu, Yapan Guo, Yanbiao Ji, Jing Tong, Yuxiang Lu, Mei Li, Suizhi Huang, Yue Ding, Hongtao Lu
2025 J jnl
MORE: Multi-Organ Medical Image REconstruction Dataset.
CoRR
Shaokai Wu, Yapan Guo, Yanbiao Ji, Jing Tong, Yuxiang Lu, Mei Li, Suizhi Huang, Yue Ding, Hongtao Lu
2025 A* conf
Me-MPK: Accelerating Krylov Subspace Solvers via Memory-efficient Matrix-Power Kernel.
DAC
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 — conf
ShelfScan: An End-to-End Embodied Framework for Automated Library Book Inventory, Recognition, and Sorting.
UbiComp Companion
Ling Ma, Sun Yi, Wanru Yang, Yue Ding, Cong Tian, Yahong Lu, Feng Zhou
2025 A conf
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation.
WSDM
Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
2025 J jnl
Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.
Neural Networks
Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, Chentao Wu, Zhi Liu, Junchi Yan
2025 — conf
Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild.
ICANN (2)
Xinyi Hou, Huayi Zhou, Yue Ding, Hongtao Lu
2024 A conf
A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication.
SC
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Yue Ding, Qingsong Wang, Shizhao Chen, Yonggang Che, Jie Liu
2024 J jnl
Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach.
IEEE Internet Things J.
Shijing Yuan, Beiyu Dong, Hongtao Lv, Hongze Liu, Hongyang Chen, Chentao Wu, Song Guo, Yue Ding, Jie Li
2024 J jnl
Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective.
IEEE Trans. Circuits Syst. Video Technol.
Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Suizhi Huang, Hongtao Lu, Yue Ding
2024 A conf
BARTENDER: A simple baseline model for task-level heterogeneous federated learning.
ICME
Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu
2024 J jnl
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu
2024 A* conf
Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration.
KDD
Chang Liu, QiWei Wang, Wenqing Lin, Yue Ding, Hongtao Lu
2024 J jnl
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training.
CoRR
Huayi Zhou, Mukun Luo, Fei Jiang, Yue Ding, Hongtao Lu
2024 A conf
CGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning.
ICME
Longjie Qi, Yue Ding, Hongtao Lu
2024 A* conf
DAG: Deep Adaptive and Generative
KDD
Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2024 A conf
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
WSDM
Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2024 — conf
Decoupling Classification and Localization of CLIP.
ICME Workshops
Muyang Yi, Zhaozhi Xie, Yuwen Yang, Chang Liu, Yue Ding, Hongtao Lu
2024 J jnl
Differentiable Gaussian Representation for Incomplete CT Reconstruction.
CoRR
Shaokai Wu, Yuxiang Lu, Wei Ji, Suizhi Huang, Fengyu Yang, Shalayiding Sirejiding, Qichen He, Jing Tong, Yanbiao Ji, Yue Ding, Hongtao Lu
2024 Misc conf
Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer.
ICASSP
Ziru Zeng, Yue Ding, Hongtao Lu
2024 J jnl
Enhancing cross-domain detection: adaptive class-aware contrastive transformer.
CoRR
Ziru Zeng, Yue Ding, Hongtao Lu
2024 B conf
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.
ICMR
Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding
2024 J jnl
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.
CoRR
Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding
2024 A* conf
Fedhca
CVPR
Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu
2024 B conf
Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation.
IJCNN
Bayram Bayramli, Yue Ding, Hongtao Lu
2024 A* conf
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes.
ICLR
Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan
2024 J jnl
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting.
CoRR
Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu
2024 — conf
Mediate: Mixture Domain Model-Agnostic Federated Learning.
DASFAA (1)
Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu
2024 J jnl
NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.
CoRR
Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu
2024 A conf
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation.
ICME
Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang
2024 J jnl
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation.
CoRR
Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang
2024 J jnl
Prompt Guided Transformer for Multi-Task Dense Prediction.
IEEE Trans. Multim.
Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
2024 J jnl
Spammer detection on short video applications.
Pattern Recognit. Lett.
Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu
2024 J jnl
TFUT: Task fusion upward transformer model for multi-task learning on dense prediction.
Comput. Vis. Image Underst.
Zewei Xin, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Chunlin Wang, Tamam Alsarhan, Hongtao Lu
2024 Misc conf
Task Indicating Transformer for Task-Conditional Dense Predictions.
ICASSP
Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu
2024 J jnl
Task Indicating Transformer for Task-conditional Dense Predictions.
CoRR
Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu
2024 A* conf
Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation.
ACM Multimedia
Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Yuwen Yang, Tamam Alsarhan, Hongtao Lu, Yue Ding
2024 J jnl
Topology-Aware Popularity Debiasing via Simplicial Complexes.
CoRR
Yanbiao Ji, Yue Ding, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu
2024 — conf
Towards Mixture of Task-Intensive Experts for Multi-task Recommendation.
DASFAA (3)
Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding
2024 J jnl
Towards Personalized Federated Multi-scenario Multi-task Recommendation.
CoRR
Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Xiaofeng Gao, Hongtao Lu
2024 B conf
Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores.
PPoPP
Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu
2024 — conf
Towards Ultrasonic Scalpel for Single-Port Robotic Surgery: Design of a Miniature Langevin Ultrasonic Transducer.
AIM
Yuzhen Cao, Yue Ding, Chuanxiang Zhu, Haomin Kuang, Ren Zhao, Kai Xu
2024 Misc conf
UNIDEAL: Curriculum Knowledge Distillation Federated Learning.
ICASSP
Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
2024 J jnl
YOLO-MED : Multi-Task Interaction Network for Biomedical Images.
CoRR
Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu
2024 Misc conf
YOLO-Med : Multi-Task Interaction Network for Biomedical Images.
ICASSP
Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu
2023 J jnl
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection.
CoRR
Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu
2023 J jnl
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
CoRR
Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2023 B conf
Developing a proxy application for an industrial unstructured CFD software: preliminary results.
ICPADS
Qingsong Wang, Chuanfu Xu, Jian Zhang, Liang Deng, Zhe Dai, Haozhong Qiu, Weixi Dai, Yongzhen Lin, Yue Ding, Yonggang Che
2023 — conf
Evaluating Performance Portability of SYCL and Kokkos: A Case Study on LBM Simulations.
ISPA/BDCloud/SocialCom/SustainCom
Yue Ding, Chuanfu Xu, Haozhong Qiu, Qingsong Wang, Weixi Dai, Yongzhen Lin, Yonggang Che
2023 A conf
Position-Aware Subgraph Neural Networks with Data-Efficient Learning.
WSDM
Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
2023 J jnl
Prompt Guided Transformer for Multi-Task Dense Prediction.
CoRR
Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
2023 A conf
Scale-Aware Task Message Transferring for Multi-Task Learning.
ICME
Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding
2023 Misc conf
Spammer Detection on Short Video Applications: A new Challenge and Baselines.
ICASSP
Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu
2023 J jnl
Towards Hetero-Client Federated Multi-Task Learning.
CoRR
Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu
2023 J jnl
UNIDEAL: Curriculum Knowledge Distillation Federated Learning.
CoRR
Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
2022 — conf
A Novel Electrode Arrangement for Bipolar Electrosurgical Instruments to Reduce Thermal Spread and Tissue Adhesion: A Proof-of-Concept Study.
ROBIO
Yue Ding, Baibo Wu, Chuanxiang Zhu, Kai Xu
2022 B conf
An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems.
GLOBECOM
Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding
2022 J jnl
Completely Heterogeneous Federated Learning.
CoRR
Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu
2022 J jnl
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test.
CoRR
Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
2022 — conf
FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot.
ROBIO
Xiang Wang, Yue Ding, Chang Zhou, Kai Xu
2022 J jnl
GraphCoCo: Graph Complementary Contrastive Learning.
CoRR
Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li
2022 — conf
Incorporating Trocar Clearance in the Kinematics of Multi-Backbone Continuum Robots for Single-Port Surgery.
ROBIO
Yue Ding, Xiang Wang, Haomin Kuang, Kai Xu
2022 J jnl
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective.
CoRR
Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
2022 A conf
Numerical Feature Representation with Hybrid
CIKM
Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022 J jnl
Position-Aware Subgraph Neural Networks with Data-Efficient Learning.
CoRR
Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
2022 J jnl
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation.
CoRR
Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang
2021 J jnl
AIRec: Attentive intersection model for tag-aware recommendation.
Neurocomputing
Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang
2021 A* conf
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.
WWW
Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding
2021 J jnl
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.
CoRR
Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding
2021 A conf
Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems.
WSDM
Hao Chen, Xin Xin, Dong Wang, Yue Ding
2021 J jnl
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction.
CoRR
Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng
2021 — conf
Design and Modeling of a Reloadable Coil-Delivery Instrument for Aneurysm Embolization.
ROBIO
Chuanxiang Zhu, Yifan Wang, Yue Ding, Xiang Wang, Kai Xu
2021 A conf
Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
CIKM
Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021 J jnl
Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
CoRR
Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021 — conf
Feedforward Neural Network Assisted Configuration Transition Control of Continuum Surgical Manipulators.
M2VIP
Yifan Wang, Chuanxiang Zhu, Yue Ding, Bo Feng, Kai Xu
2021 J jnl
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform.
CoRR
Runyuan Cai, Yue Ding, Hongtao Lu
2021 J jnl
ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation.
CoRR
Yule Wang, Xin Xin, Yue Ding, Dong Wang
2021 A conf
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.
CIKM
Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang
2020 A conf
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.
CIKM
Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2019 — conf
AIRec: Attentive Intersection Model for Tag-Aware Recommendation.
ISWC (Satellites)
Bo Chen, Dong Wang, Yue Ding, Xin Xin
2019 A* conf
CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
IJCAI
Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose
2018 — conf
Deep Feature Fusion over Multi-field Categorical Data for Rating Prediction.
AICCC
Yue Ding, Jie Liu, Dong Wang
2018 J jnl
SCFM: Social and crowdsourcing factorization machines for recommendation.
Appl. Soft Comput.
Yue Ding, Dong Wang, Xin Xin, Guoqiang Li, Daniel Sun, Xuezhi Zeng, Rajiv Ranjan
2017 J jnl
Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation.
Softw. Pract. Exp.
Yue Ding, Dong Wang, Guoqiang Li, Daniel Sun, Xin Xin, Shiyou Qian
2017 B conf
HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback.
MDM
Lini Chen, Xin Xin, Dong Wong, Yue Ding
2017 C conf
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems.
ACML
Jie Liu, Dong Wang, Yue Ding
2017 — conf
SGMR: Sentiment-Aligned Generative Model for Reviews.
WISE (2)
He Zou, Litian Yin, Dong Wang, Yue Ding
2017 B conf
SoGeM: Social Based Generative Model for Top-N Recommendation.
ICTAI
Litian Yin, Dong Wang, Xin Xin, Yue Ding
2016 — conf
FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems.
APWeb (2)
Xin Xin, Dong Wang, Yue Ding, Chen Lini
2016 — conf
SocialFM: A Social Recommender System with Factorization Machines.
WAIM (1)
Juming Zhou, Dong Wang, Yue Ding, Litian Yin
2016 C conf
User Actions and Timestamp Based Personalized Recommendation for E-Commerce System.
CIT
Congcong Chen, Dong Wang, Yue Ding
2015 C conf
Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition.
KSEM
Yue Ding, Dong Wang, Xin Xin