| 2026 | ACL | Libra-VLA: Achieving Learning Equilibrium via Asynchronous Coarse-to-Fine Dual-System. | Yifei Wei, Linqing Zhong, Yi Liu, Yuxiang Lu, Xindong He, Maoqing Yao, Guanghui Ren |
| 2026 | ACL | RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation. | Bingxian Wu, Yu Zhang, Zonghao Guo, Tang Liu, Chen Qian, Yuxiang Lu, Xingbo Du, Yanghao Li, Yidan Zhang, Chi Chen, Ling Yao, Chenghu Zhou, Maosong Sun |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning. | Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang |
| 2025 | ICML | BECAME: Bayesian Continual Learning with Adaptive Model Merging. | Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu |
| 2025 | WSDM | 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 |
| 2024 | CIKM | Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition. | Zhipang Wang, Yu Hong, Yuxiang Lu, Xiabing Zhou, Jianmin Yao, Guodong Zhou |
| 2024 | CVPR | Fedhca | Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu |
| 2024 | DASFAA | Towards Mixture of Task-Intensive Experts for Multi-task Recommendation. | Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding |
| 2024 | ICASSP | YOLO-Med : Multi-Task Interaction Network for Biomedical Images. | Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu |
| 2024 | ICASSP | Task Indicating Transformer for Task-Conditional Dense Predictions. | Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu |
| 2024 | PRICAI | MMAT: Multi-scale Multi-attention Transformer for Fine-Grained Wild Fungi Visual Classification. | Qinyan Dai, Yuxiang Lu, Chunlin Wang, Hongtao Lu |
| 2023 | ACSSC | Quantum Cross Subspace Alignment Codes via the N-sum Box Abstraction. | Yuxiang Lu, Syed Ali Jafar |
| 2023 | ACSSC | Blind Interference Alignment for MapReduce: Jointly Exploiting Side-information and Reconfigurable Antennas. | Yuxiang Lu, Syed Ali Jafar |
| 2023 | CVPR | ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts. | Zhida Feng, Zhenyu Zhang, Xintong Yu, Yewei Fang, Lanxin Li, Xuyi Chen, Yuxiang Lu, Jiaxiang Liu, Weichong Yin, Shikun Feng, Yu Sun, Li Chen, Hao Tian, Hua Wu, Haifeng Wang |
| 2023 | EMNLP | Enhancing Reasoning Capabilities by Instruction Learning and Chain-of-Thoughts for Implicit Discourse Relation Recognition. | Yuxiang Lu, Yu Hong, Zhipang Wang, Guodong Zhou |
| 2023 | GLOBECOM | N-Sum Box: An Abstraction for Linear Computation over Many-to-one Quantum Networks. | Matteo Allaix, Yuxiang Lu, Yuhang Yao, Tefjol Pllaha, Camilla Hollanti, Syed Ali Jafar |
| 2023 | ICANN | Enhance Representational Differentiation Step by Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification. | Yuxiang Lu, Yu Hong, Zujun Dou, Guodong Zhou |
| 2022 | PRICAI | Implicit Discourse Relation Recognition Based on Multi-granularity Context Fusion Mechanism. | Yuxiang Lu, Yu Hong, Xiao Li, Guodong Zhou |