Yuchen Lu

According to our database, Yuchen Lu authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Image Domain Multi-Material Decomposition Noise Suppression Through Basis Transformation and Selective Filtering.

Xu Ji, Xu Zhuo, Yuchen Lu, Weilong Mao, Shiyu Zhu, Guotao Quan, Yan Xi, Tianling Lyu, Yang Chen

IEEE J. Biomed. Health Informatics, May, 2024

SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT.

Xu Ji, Yuchen Lu, Yikun Zhang, Xu Zhuo, Shengqi Kan, Weilong Mao, Gouenou Coatrieux, Jean-Louis Coatrieux, Guotao Quan, Yan Xi, Shuo Li, Tianling Lyu, Yang Chen

IEEE Trans. Computational Imaging, 2024

Research on conceptual graph gallery-based cognitive communication method for geographical conceptual modeling.

Jin Wang, Yuchen Lu, Xiangyun Kong, Yongning Wen, Songshan Yue, Guonian Lü, Zaiyang Ma

Environ. Model. Softw., 2024

Size and temperature effects on optoelectronic properties of Micro-LED arrays for display applications.

Yijian Zhou, Tianxi Yang, Jin Li, Yuchen Lu, Yang Li, Qiwei Li, Caihong Yan, Shuaishuai Wang, Jie Sun, Qun Yan

Displays, 2024

Multi-Target NeuralLss Regression with Learned Confidence Space.

Yuchen Lu, Yuanqi He, Guan Wang, Chunlong Fang, Ziyao Sun

Proceedings of the International Joint Conference on Neural Networks, 2024

In situ neighborhood sampling for large-scale GNN training.

Yuhang Song, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri

Proceedings of the 20th International Workshop on Data Management on New Hardware, 2024

2023

Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods.

Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni

Trans. Mach. Learn. Res., 2023

A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model.

Xu Ji, Yuchen Lu, Xu Zhuo, Yikun Zhang, Shiyu Zhu, Yang Chen

IEEE Trans. Instrum. Meas., 2023

Quantum Langevin Dynamics for Optimization.

Zherui Chen, Yuchen Lu, Hao Wang, Yizhou Liu, Tongyang Li

CoRR, 2023

Retrieval-Augmented Multiple Instance Learning.

Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance.

Yuchen Lu, Xiangkai Zhang, Xu Yang, Pin Lv, Liguo Sun, Ryan Wen Liu, Yisheng Lv

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Efficient Prompt Tuning for Vision and Language Models.

Bing Li, Feng Li, Shaokun Gao, Qile Fan, Yuchen Lu, Reyu Hu, Zhiyuan Zhao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Hyper-Decision Transformer for Efficient Online Policy Adaptation.

Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Disturbance Rejection MPC Framework for Input-Affine Nonlinear Systems.

Huahui Xie, Li Dai, Yuchen Lu, Yuanqing Xia

IEEE Trans. Autom. Control., 2022

Uniform Masking Prevails in Vision-Language Pretraining.

Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi

CoRR, 2022

Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning.

Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni

CoRR, 2022

Prompting Decision Transformer for Few-Shot Policy Generalization.

Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the International Conference on Machine Learning, 2022

2021

Robust Tracking Model Predictive Control With Quadratic Robustness Constraint for Mobile Robots With Incremental Input Constraints.

Li Dai, Yuchen Lu, Huahui Xie, Zhongqi Sun, Yuanqing Xia

IEEE Trans. Ind. Electron., 2021

Iterated learning for emergent systematicity in VQA.

Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Task Decomposition with Ordered Memory Policy Network.

Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Robotic Manipulation of Deformable Cells for Orientation Control.

Changsheng Dai, Zhuoran Zhang, Yuchen Lu, Guanqiao Shan, Xian Wang, Qili Zhao, Changhai Ru, Yu Sun

IEEE Trans. Robotics, 2020

Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest.

Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Countering Language Drift with Seeded Iterated Learning.

Yuchen Lu, Soumye Singhal, Florian Strub, Aaron C. Courville, Olivier Pietquin

Proceedings of the 37th International Conference on Machine Learning, 2020

Supervised Seeded Iterated Learning for Interactive Language Learning.

Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Research on the Construction Method of the Service-Oriented Web-SWMM System.

Dawei Xiao, Min Chen, Yuchen Lu, Songshan Yue, Tao Hou

ISPRS Int. J. Geo Inf., 2019

Boosting Image Recognition with Non-differentiable Constraints.

Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu

CoRR, 2019

No-Press Diplomacy: Modeling Multi-Agent Gameplay.

Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robotic Orientation Control of Deformable Cells.

Changsheng Dai, Zhuoran Zhang, Yuchen Lu, Guanqiao Shan, Xian Wang, Qili Zhao, Yu Sun

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Anomaly Detection for Skin Disease Images Using Variational Autoencoder.

Yuchen Lu, Peng Xu

CoRR, 2018