Yue Ding

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 34

Top Topics

Object Representation

Joint Detection

Joint Optimization

Attributed Graphs

Top Venues

Publications

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) (2024)
Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu
Task Indicating Transformer for Task-Conditional Dense Predictions. ICASSP (2024)
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)
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)
Ziru Zeng, Yue Ding, Hongtao Lu
Enhancing cross-domain detection: adaptive class-aware contrastive transformer. CoRR (2024)
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)
Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu
YOLO-MED : Multi-Task Interaction Network for Biomedical Images. CoRR (2024)
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) (2024)
Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu
Task Indicating Transformer for Task-conditional Dense Predictions. CoRR (2024)
Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
UNIDEAL: Curriculum Knowledge Distillation Federated Learning. ICASSP (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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 (2024)
Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu
Spammer detection on short video applications. Pattern Recognit. Lett. 177 (2024)
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)
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)
Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Xiaofeng Gao, Hongtao Lu
Towards Personalized Federated Multi-scenario Multi-task Recommendation. CoRR (2024)
Ziru Zeng, Yue Ding, Hongtao Lu
Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer. ICASSP (2024)
Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
-Free Community Detection on Attributed Graphs. KDD (2024)
Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
Prompt Guided Transformer for Multi-Task Dense Prediction. IEEE Trans. Multim. 26 (2024)
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)
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)
Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu
Towards Hetero-Client Federated Multi-Task Learning. CoRR (2023)
Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
UNIDEAL: Curriculum Knowledge Distillation Federated Learning. CoRR (2023)
Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
Prompt Guided Transformer for Multi-Task Dense Prediction. CoRR (2023)
Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding
Scale-Aware Task Message Transferring for Multi-Task Learning. ICME (2023)
Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. WSDM (2023)
Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. CoRR (2023)
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)
Shijing Yuan, Jie Li, Yuxuan Zhu, Chentao Wu, Yue Ding
An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems. GLOBECOM (2022)
Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. CoRR (2022)