Yue Ding

According to our database, Yue Ding authored at least 53 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spammer detection on short video applications.

Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu

Pattern Recognit. Lett., January, 2024

Prompt Guided Transformer for Multi-Task Dense Prediction.

Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu

IEEE Trans. Multim., 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, Hongtao Lu

CoRR, 2024

Task Indicating Transformer for Task-conditional Dense Predictions.

Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu

CoRR, 2024

YOLO-MED : Multi-Task Interaction Network for Biomedical Images.

Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu

CoRR, 2024

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.

Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding

CoRR, 2024

Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training.

Huayi Zhou, Mukun Luo, Fei Jiang, Yue Ding, Hongtao Lu

CoRR, 2024

Enhancing cross-domain detection: adaptive class-aware contrastive transformer.

Ziru Zeng, Yue Ding, Hongtao Lu

CoRR, 2024

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation.

Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang

CoRR, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 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, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

2023

Towards Hetero-Client Federated Multi-Task Learning.

Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu

CoRR, 2023

UNIDEAL: Curriculum Knowledge Distillation Federated Learning.

Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding

CoRR, 2023

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection.

Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu

CoRR, 2023

Position-Aware Subgraph Neural Networks with Data-Efficient Learning.

Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 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, Yonggang Che

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Scale-Aware Task Message Transferring for Multi-Task Learning.

Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Spammer Detection on Short Video Applications: A new Challenge and Baselines.

Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu

Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluating Performance Portability of SYCL and Kokkos: A Case Study on LBM Simulations.

Yue Ding, Chuanfu Xu, Haozhong Qiu, Qingsong Wang, Weixi Dai, Yongzhen Lin, Yonggang Che

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test.

Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu

CoRR, 2022

Completely Heterogeneous Federated Learning.

Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu

CoRR, 2022

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective.

Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu

CoRR, 2022

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation.

Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang

CoRR, 2022

GraphCoCo: Graph Complementary Contrastive Learning.

Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li

CoRR, 2022

FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot.

Xiang Wang, Yue Ding, Chang Zhou, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

A Novel Electrode Arrangement for Bipolar Electrosurgical Instruments to Reduce Thermal Spread and Tissue Adhesion: A Proof-of-Concept Study.

Yue Ding, Baibo Wu, Chuanxiang Zhu, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Incorporating Trocar Clearance in the Kinematics of Multi-Backbone Continuum Robots for Single-Port Surgery.

Yue Ding, Xiang Wang, Haomin Kuang, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems.

Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding

Proceedings of the IEEE Global Communications Conference, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.

Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

AIRec: Attentive intersection model for tag-aware recommendation.

Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang

Neurocomputing, 2021

FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform.

Runyuan Cai, Yue Ding, Hongtao Lu

CoRR, 2021

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation.

Yule Wang, Xin Xin, Yue Ding, Dong Wang

CoRR, 2021

DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction.

Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng

CoRR, 2021

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.

Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding

Proceedings of the WWW '21: The Web Conference 2021, 2021

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems.

Hao Chen, Xin Xin, Dong Wang, Yue Ding

Proceedings of the WSDM '21, 2021

Design and Modeling of a Reloadable Coil-Delivery Instrument for Aneurysm Embolization.

Chuanxiang Zhu, Yifan Wang, Yue Ding, Xiang Wang, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Feedforward Neural Network Assisted Configuration Transition Control of Continuum Surgical Manipulators.

Yifan Wang, Chuanxiang Zhu, Yue Ding, Bo Feng, Kai Xu

Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation.

Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.

Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

AIRec: Attentive Intersection Model for Tag-Aware Recommendation.

Bo Chen, Dong Wang, Yue Ding, Xin Xin

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

CFM: Convolutional Factorization Machines for Context-Aware Recommendation.

Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

SCFM: Social and crowdsourcing factorization machines for recommendation.

Yue Ding, Dong Wang, Xin Xin, Guoqiang Li, Daniel Sun, Xuezhi Zeng, Rajiv Ranjan

Appl. Soft Comput., 2018

Deep Feature Fusion over Multi-field Categorical Data for Rating Prediction.

Yue Ding, Jie Liu, Dong Wang

Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 2018

2017

Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation.

Yue Ding, Dong Wang, Guoqiang Li, Daniel Sun, Xin Xin, Shiyou Qian

Softw. Pract. Exp., 2017

SGMR: Sentiment-Aligned Generative Model for Reviews.

He Zou, Litian Yin, Dong Wang, Yue Ding

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback.

Lini Chen, Xin Xin, Dong Wong, Yue Ding

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

SoGeM: Social Based Generative Model for Top-N Recommendation.

Litian Yin, Dong Wang, Xin Xin, Yue Ding

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems.

Jie Liu, Dong Wang, Yue Ding

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

SocialFM: A Social Recommender System with Factorization Machines.

Juming Zhou, Dong Wang, Yue Ding, Litian Yin

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems.

Xin Xin, Dong Wang, Yue Ding, Chen Lini

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

User Actions and Timestamp Based Personalized Recommendation for E-Commerce System.

Congcong Chen, Dong Wang, Yue Ding

Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015

Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition.

Yue Ding, Dong Wang, Xin Xin

Proceedings of the Knowledge Science, Engineering and Management, 2015