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ORCIDYue Ding 0001
Person information
- affiliation: Shanghai Jiao Tong University, Shanghai, China
Other persons with the same name
- Yue Ding — disambiguation page
- Yue Ding 0002 — Hangzhou Dianzi University, Hangzhou, China
- Yue Ding 0003 — University of Zürich, Switzerland
- Yue Ding 0004
![[0000-0001-6595-6247]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6595-6247")
— Nanjing University of Information Science and Technology, Nanjing, China - Yue Ding 0005 — Tsinghua University, School of Medicine, Beijing, China
- Yue Ding 0006 — Anhui Normal University, Wuhu, China
- Yue Ding 0007 — Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
- Yue Ding 0008 — Central China Normal University, Wuhan, Hubei, China
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2020 – today
- 2025
[j10]Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, Chentao Wu, Zhi Liu, Junchi Yan:
Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. Neural Networks 181: 106652 (2025)- 2024
- [j9]Zewei Xin, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Chunlin Wang, Tamam Alsarhan, Hongtao Lu:
TFUT: Task fusion upward transformer model for multi-task learning on dense prediction. Comput. Vis. Image Underst. 244: 104014 (2024) - [j8]Shijing Yuan, Beiyu Dong, Hongtao Lv, Hongze Liu, Hongyang Chen, Chentao Wu, Song Guo, Yue Ding, Jie Li:
Adaptive Incentive for Cross-Silo Federated Learning in IIoT: A Multiagent Reinforcement Learning Approach. IEEE Internet Things J. 11(9): 15048-15058 (2024) - [j7]Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu:
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4314-4330 (2024) - [j6]Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu:
Spammer detection on short video applications. Pattern Recognit. Lett. 177: 61-68 (2024) - [j5]Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Suizhi Huang, Hongtao Lu, Yue Ding:
Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9499-9514 (2024) - [j4]Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu:
Prompt Guided Transformer for Multi-Task Dense Prediction. IEEE Trans. Multim. 26: 6375-6385 (2024) - [c48]Yuzhen Cao, Yue Ding, Chuanxiang Zhu, Haomin Kuang, Ren Zhao, Kai Xu:
Towards Ultrasonic Scalpel for Single-Port Robotic Surgery: Design of a Miniature Langevin Ultrasonic Transducer. AIM 2024: 853-858 - [c47]Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu:
Fedhca2: Towards Hetero-Client Federated Multi-Task Learning. CVPR 2024: 5599-5609 - [c46]Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu:
Mediate: Mixture Domain Model-Agnostic Federated Learning. DASFAA (1) 2024: 501-510 - [c45]Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu:
YOLO-Med : Multi-Task Interaction Network for Biomedical Images. ICASSP 2024: 2175-2179 - [c44]Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu:
Task Indicating Transformer for Task-Conditional Dense Predictions. ICASSP 2024: 3625-3629 - [c43]Ziru Zeng, Yue Ding, Hongtao Lu:
Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer. ICASSP 2024: 6670-6674 - [c42]Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding:
UNIDEAL: Curriculum Knowledge Distillation Federated Learning. ICASSP 2024: 7145-7149 - [c41]Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan:
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR 2024 - [c40]Longjie Qi, Yue Ding, Hongtao Lu:
CGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning. ICME 2024: 1-6 - [c39]Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang:
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. ICME 2024: 1-6 - [c38]Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu:
BARTENDER: A simple baseline model for task-level heterogeneous federated learning. ICME 2024: 1-6 - [c37]Muyang Yi, Zhaozhi Xie, Yuwen Yang, Chang Liu, Yue Ding, Hongtao Lu:
Decoupling Classification and Localization of CLIP. ICME Workshops 2024: 1-6 - [c36]Bayram Bayramli, Yue Ding, Hongtao Lu:
Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation. IJCNN 2024: 1-8 - [c35]Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu:
Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. KDD 2024: 5442-5453 - [c34]Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi:
DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. KDD 2024: 5454-5465 - [c33]Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding:
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study. ICMR 2024: 684-693 - [c32]Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Yuwen Yang, Tamam Alsarhan, Hongtao Lu, Yue Ding:
Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation. ACM Multimedia 2024: 6103-6112 - [c31]Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Liang Deng, Jian Zhang, Qingsong Wang, Yue Ding, Zhe Dai, Yonggang Che, Shizhao Chen, Jie Liu:
Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores. PPoPP 2024: 109-119 - [c30]Haozhong Qiu, Chuanfu Xu, Jianbin Fang, Jian Zhang, Liang Deng, Yue Ding, Qingsong Wang, Shizhao Chen, Yonggang Che, Jie Liu:
A Conflict-aware Divide-and-Conquer Algorithm for Symmetric Sparse Matrix-Vector Multiplication. SC 2024: 48 - [c29]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM 2024: 882-890 - [i25]Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang:
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. CoRR abs/2401.13051 (2024) - [i24]Ziru Zeng, Yue Ding, Hongtao Lu:
Enhancing cross-domain detection: adaptive class-aware contrastive transformer. CoRR abs/2401.13264 (2024) - [i23]Huayi Zhou, Mukun Luo, Fei Jiang, Yue Ding, Hongtao Lu:
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training. CoRR abs/2402.11566 (2024) - [i22]Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding:
Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study. CoRR abs/2402.12876 (2024) - [i21]Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu:
YOLO-MED : Multi-Task Interaction Network for Biomedical Images. CoRR abs/2403.00245 (2024) - [i20]Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu:
Task Indicating Transformer for Task-conditional Dense Predictions. CoRR abs/2403.00327 (2024) - [i19]Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu:
Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting. CoRR abs/2403.19213 (2024) - [i18]Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Xiaofeng Gao, Hongtao Lu:
Towards Personalized Federated Multi-scenario Multi-task Recommendation. CoRR abs/2406.18938 (2024) - [i17]Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu:
NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. CoRR abs/2410.10743 (2024) - 2023
- [c28]Yue Ding, Chuanfu Xu, Haozhong Qiu, Qingsong Wang, Weixi Dai, Yongzhen Lin, Yonggang Che:
Evaluating Performance Portability of SYCL and Kokkos: A Case Study on LBM Simulations. ISPA/BDCloud/SocialCom/SustainCom 2023: 328-335 - [c27]Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu:
Spammer Detection on Short Video Applications: A new Challenge and Baselines. ICASSP 2023: 1-5 - [c26]Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding:
Scale-Aware Task Message Transferring for Multi-Task Learning. ICME 2023: 1859-1864 - [c25]Qingsong Wang, Chuanfu Xu, Jian Zhang, Liang Deng, Zhe Dai, Haozhong Qiu, Weixi Dai, Yongzhen Lin, Yue Ding, Yonggang Che:
Developing a proxy application for an industrial unstructured CFD software: preliminary results. ICPADS 2023: 2853-2854 - [c24]Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. WSDM 2023: 643-651 - [i16]Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu:
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. CoRR abs/2304.10765 (2023) - [i15]Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu:
Prompt Guided Transformer for Multi-Task Dense Prediction. CoRR abs/2307.15362 (2023) - [i14]Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding:
UNIDEAL: Curriculum Knowledge Distillation Federated Learning. CoRR abs/2309.08961 (2023) - [i13]Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu:
Towards Hetero-Client Federated Multi-Task Learning. CoRR abs/2311.13250 (2023) - [i12]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR abs/2312.07036 (2023) - 2022
- [c23]Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang:
Numerical Feature Representation with Hybrid N-ary Encoding. CIKM 2022: 2984-2993 - [c22]Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding:
An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems. GLOBECOM 2022: 5183-5188 - [c21]Yue Ding, Xiang Wang, Haomin Kuang, Kai Xu:
Incorporating Trocar Clearance in the Kinematics of Multi-Backbone Continuum Robots for Single-Port Surgery. ROBIO 2022: 1757-1762 - [c20]Xiang Wang, Yue Ding, Chang Zhou, Kai Xu:
FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot. ROBIO 2022: 2009-2014 - [c19]Yue Ding, Baibo Wu, Chuanxiang Zhu, Kai Xu:
A Novel Electrode Arrangement for Bipolar Electrosurgical Instruments to Reduce Thermal Spread and Tissue Adhesion: A Proof-of-Concept Study. ROBIO 2022: 2293-2298 - [i11]Jiawei Sun, Junchi Yan, Chentao Wu, Yue Ding, Ruoxin Chen, Xiang Yu, Xinyu Lu, Jie Li:
GraphCoCo: Graph Complementary Contrastive Learning. CoRR abs/2203.12821 (2022) - [i10]Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang:
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation. CoRR abs/2208.05716 (2022) - [i9]Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu:
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. CoRR abs/2210.06932 (2022) - [i8]Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu:
Completely Heterogeneous Federated Learning. CoRR abs/2210.15865 (2022) - [i7]Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. CoRR abs/2211.00572 (2022) - [i6]Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu:
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. CoRR abs/2211.10739 (2022) - 2021
- [j3]Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang:
AIRec: Attentive intersection model for tag-aware recommendation. Neurocomputing 421: 105-114 (2021) - [c18]Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang:
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. CIKM 2021: 382-391 - [c17]Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CIKM 2021: 998-1007 - [c16]Yifan Wang, Chuanxiang Zhu, Yue Ding, Bo Feng, Kai Xu:
Feedforward Neural Network Assisted Configuration Transition Control of Continuum Surgical Manipulators. M2VIP 2021: 617-622 - [c15]Chuanxiang Zhu, Yifan Wang, Yue Ding, Xiang Wang, Kai Xu:
Design and Modeling of a Reloadable Coil-Delivery Instrument for Aneurysm Embolization. ROBIO 2021: 42-48 - [c14]Hao Chen, Xin Xin, Dong Wang, Yue Ding:
Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. WSDM 2021: 958-966 - [c13]Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding:
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. WWW 2021: 449-459 - [i5]Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding:
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. CoRR abs/2103.10693 (2021) - [i4]Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng:
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. CoRR abs/2109.12512 (2021) - [i3]Yule Wang, Xin Xin, Yue Ding, Dong Wang:
ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation. CoRR abs/2109.12887 (2021) - [i2]Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CoRR abs/2109.13539 (2021) - [i1]Runyuan Cai, Yue Ding, Hongtao Lu:
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform. CoRR abs/2111.10800 (2021) - 2020
- [c12]Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang:
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM 2020: 155-164
2010 – 2019
- 2019
- [c11]Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose:
CFM: Convolutional Factorization Machines for Context-Aware Recommendation. IJCAI 2019: 3926-3932 - [c10]Bo Chen, Dong Wang, Yue Ding, Xin Xin:
AIRec: Attentive Intersection Model for Tag-Aware Recommendation. ISWC (Satellites) 2019: 17-20 - 2018
- [j2]Yue Ding, Dong Wang, Xin Xin, Guoqiang Li, Daniel Sun, Xuezhi Zeng, Rajiv Ranjan:
SCFM: Social and crowdsourcing factorization machines for recommendation. Appl. Soft Comput. 66: 548-556 (2018) - [c9]Yue Ding, Jie Liu, Dong Wang:
Deep Feature Fusion over Multi-field Categorical Data for Rating Prediction. AICCC 2018: 16-22 - 2017
- [j1]Yue Ding, Dong Wang, Guoqiang Li, Daniel Sun, Xin Xin, Shiyou Qian:
Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation. Softw. Pract. Exp. 47(6): 849-865 (2017) - [c8]Jie Liu, Dong Wang, Yue Ding:
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems. ACML 2017: 224-239 - [c7]Litian Yin, Dong Wang, Xin Xin, Yue Ding:
SoGeM: Social Based Generative Model for Top-N Recommendation. ICTAI 2017: 802-806 - [c6]Lini Chen, Xin Xin, Dong Wong, Yue Ding:
HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback. MDM 2017: 40-49 - [c5]He Zou, Litian Yin, Dong Wang, Yue Ding:
SGMR: Sentiment-Aligned Generative Model for Reviews. WISE (2) 2017: 329-337 - 2016
- [c4]Congcong Chen, Dong Wang, Yue Ding:
User Actions and Timestamp Based Personalized Recommendation for E-Commerce System. CIT 2016: 183-189 - [c3]Xin Xin, Dong Wang, Yue Ding, Chen Lini:
FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems. APWeb (2) 2016: 98-110 - [c2]Juming Zhou, Dong Wang, Yue Ding, Litian Yin:
SocialFM: A Social Recommender System with Factorization Machines. WAIM (1) 2016: 286-297 - 2015
- [c1]Yue Ding, Dong Wang, Xin Xin:
Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition. KSEM 2015: 471-482
Coauthor Index
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