Yue Ding

Orcid: 0009-0009-1025-5238

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Yue Ding authored at least 74 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2016
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2020
2022
2024
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Online presence:

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Bibliography

2025
Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach.
Neural Networks, 2025

2024
Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach.
IEEE Internet Things J., May, 2024

Spammer detection on short video applications.
Pattern Recognit. Lett., January, 2024

Prompt Guided Transformer for Multi-Task Dense Prediction.
IEEE Trans. Multim., 2024

TFUT: Task fusion upward transformer model for multi-task learning on dense prediction.
Comput. Vis. Image Underst., 2024

Topology-Aware Popularity Debiasing via Simplicial Complexes.
CoRR, 2024

Differentiable Gaussian Representation for Incomplete CT Reconstruction.
CoRR, 2024

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models.
CoRR, 2024

Towards Personalized Federated Multi-scenario Multi-task Recommendation.
CoRR, 2024

Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting.
CoRR, 2024

Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training.
CoRR, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication.
Proceedings of the International Conference for High Performance Computing, 2024

Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

DAG: Deep Adaptive and Generative <i>K</i>-Free Community Detection on Attributed Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Decoupling Classification and Localization of CLIP.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

BARTENDER: A simple baseline model for task-level heterogeneous federated learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2024

UNIDEAL: Curriculum Knowledge Distillation Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Task Indicating Transformer for Task-Conditional Dense Predictions.
Proceedings of the IEEE International Conference on Acoustics, 2024

YOLO-Med : Multi-Task Interaction Network for Biomedical Images.
Proceedings of the IEEE International Conference on Acoustics, 2024

Mediate: Mixture Domain Model-Agnostic Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

Towards Mixture of Task-Intensive Experts for Multi-task Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

Fedhca<sup>2</sup>: Towards Hetero-Client Federated Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Ultrasonic Scalpel for Single-Port Robotic Surgery: Design of a Miniature Langevin Ultrasonic Transducer.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023
Towards Hetero-Client Federated Multi-Task Learning.
CoRR, 2023

Position-Aware Subgraph Neural Networks with Data-Efficient Learning.
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.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Scale-Aware Task Message Transferring for Multi-Task Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Spammer Detection on Short Video Applications: A new Challenge and Baselines.
Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluating Performance Portability of SYCL and Kokkos: A Case Study on LBM Simulations.
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.
CoRR, 2022

Completely Heterogeneous Federated Learning.
CoRR, 2022

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective.
CoRR, 2022

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation.
CoRR, 2022

GraphCoCo: Graph Complementary Contrastive Learning.
CoRR, 2022

FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot.
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.
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.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems.
Proceedings of the IEEE Global Communications Conference, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
AIRec: Attentive intersection model for tag-aware recommendation.
Neurocomputing, 2021

FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform.
CoRR, 2021

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation.
CoRR, 2021

DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction.
CoRR, 2021

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems.
Proceedings of the WSDM '21, 2021

Design and Modeling of a Reloadable Coil-Delivery Instrument for Aneurysm Embolization.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Feedforward Neural Network Assisted Configuration Transition Control of Continuum Surgical Manipulators.
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
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.
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.
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.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
SCFM: Social and crowdsourcing factorization machines for recommendation.
Appl. Soft Comput., 2018

Deep Feature Fusion over Multi-field Categorical Data for Rating Prediction.
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.
Softw. Pract. Exp., 2017

SGMR: Sentiment-Aligned Generative Model for Reviews.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

SoGeM: Social Based Generative Model for Top-N Recommendation.
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.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
SocialFM: A Social Recommender System with Factorization Machines.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

User Actions and Timestamp Based Personalized Recommendation for E-Commerce System.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2015


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