📝 Publications

Preprints


Is Diversity All You Need for Scalable Robotic Manipulation?
Modi Shi, Li Chen, Jin Chen, Yuxiang Lu, Chiming Liu, Guanghui Ren, Ping Luo, Di Huang, Maoqing Yao, Hongyang Li
arXiv Preprint

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

2025


CLIP-MT: Multi-Modal Knowledge-Driven Adaptive Scale Feature Allocation for Multi-Task Dense Prediction
Shalayiding Sirejiding, Yue Ding, Yuxiang Lu, Xinyi Hou, Shaokai Wu, Qichen He, Chunlin Wang, Wenqiang Guo, Hongtao Lu
ACM Multimedia (ACM MM) 2025

Discretized Gaussian Representation for Tomographic Reconstruction
Shaokai Wu, Yuxiang Lu, Yapan Guo, Wei Ji, Suizhi Huang, Fengyu Yang, Shalayiding Sirejiding, Qichen He, Jing Tong, Yanbiao Ji, Yue Ding, Hongtao Lu
International Conference on Computer Vision (ICCV) 2025

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
Yuxiang Lu (Core Contributor)
International Conference on Intelligent Robots and Systems (IROS) 2025

BECAME: Bayesian Continual Learning with Adaptive Model Merging
Mei Li$^*$, Yuxiang Lu$^*$, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu
International Conference on Machine Learning (ICML) 2025

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 Auxiliary 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


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

Prompt Guided Transformer for Multi-Task Dense Prediction
Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
IEEE Transactions on Multimedia (TMM) 2024

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

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