📝 Publications

Preprints


Differentiable Gaussian Representation for Incomplete CT Reconstruction
Shaokai Wu, Yuxiang Lu, Wei Ji, Suizhi Huang, Fengyu Yang, Shalayiding Sirejiding, Qichen He, Jing Tong, Yanbiao Ji, Yue Ding, Hongtao Lu
Arxiv Preprint

Topology-Aware Popularity Debiasing via Simplicial Complexes
Yanbiao Ji, Yue Ding, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu
Arxiv Preprint

2025


ICLR 2025
sym

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Yuxiang Lu$^*$, Shengcao Cao$^*$, Yuxiong Wang

International Conference on Learning Representations (ICLR) 2025

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
IEEE Transactions on Multimedia (TMM) 2025

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
ACM International Conference on Web Search and Data Mining (WSDM) 2025

2024


CVPR 2024
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FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning

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

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Code Poster

TMM 2024
sym

Prompt Guided Transformer for Multi-Task Dense Prediction

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

IEEE Transactions on Multimedia (TMM) 2024

Code

ICASSP 2024
sym

Task Indicating Transformer for Task-conditional Dense Predictions

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

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024, Oral

Code

BARTENDER: A Simple Baseline Model for Task-level Heterogeneous Federated Learning
Yuwen Yang$^*$, Yuxiang Lu$^*$, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu
IEEE International Conference on Multimedia and Expo (ICME) 2024

Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation
Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Yuwen Yang, Tamam Alsarhan, Hongtao Lu, Yue Ding
ACM Multimedia (ACM MM) 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
International Conference on Multimedia Retrieval (ICMR) 2024

Towards Mixture of Task-Intensive Experts for Multi-task Recommendation
Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding
International Conference on Database Systems for Advanced Applications (DASFAA) 2024

Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective
Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Suizhi Huang, Hongtao Lu, Yue Ding
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2024

YOLO-MED : Multi-Task Interaction Network for Biomedical Images
Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024, Oral

TFUT: Task Fusion Upward Transformer Model for Multi-Task Learning on Dense Prediction
Zewei Xin, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Chunlin Wang, Tamam Alsarhan, Hongtao Lu
Computer Vision and Image Understanding (CVIU) 2024

MMAT: Multi-scale Multi-Attention Transformer for Fine-grained Wild Fungi Visual Classification
Qinyan Dai, Yuxiang Lu, Chunlin Wang and Hongtao Lu
The Pacific Rim International Conference on Artificial Intelligence (PRICAI) 2024

2023


Scale-Aware Task Message Transferring For Multi-Task Learning
Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding
IEEE International Conference on Multimedia and Expo (ICME) 2023, Oral