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ORCIDYuchen Lu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Yijian Zhou, Tianxi Yang, Jin Li, Yuchen Lu, Yang Li, Qiwei Li, Caihong Yan, Shuaishuai Wang, Jie Sun, Qun Yan:
Size and temperature effects on optoelectronic properties of Micro-LED arrays for display applications. Displays 85: 102841 (2024)- [j9]Jin Wang
, Yuchen Lu, Xiangyun Kong, Yongning Wen, Songshan Yue, Guonian Lü, Zaiyang Ma:
Research on conceptual graph gallery-based cognitive communication method for geographical conceptual modeling. Environ. Model. Softw. 176: 106007 (2024) - [j8]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:
SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT. IEEE Trans. Computational Imaging 10: 677-689 (2024) - [j7]Xu Ji, Xu Zhuo, Yuchen Lu, Weilong Mao, Shiyu Zhu, Guotao Quan, Yan Xi, Tianling Lyu, Yang Chen:
Image Domain Multi-Material Decomposition Noise Suppression Through Basis Transformation and Selective Filtering. IEEE J. Biomed. Health Informatics 28(5): 2891-2903 (2024) - [c14]Yuhang Song, Po-Hao Chen, Yuchen Lu, Naima Abrar, Vasiliki Kalavri:
In situ neighborhood sampling for large-scale GNN training. DaMoN 2024: 11:1-11:5 - [c13]Yuchen Lu, Yuanqi He, Guan Wang, Chunlong Fang, Ziyao Sun:
Multi-Target NeuralLss Regression with Learned Confidence Space. IJCNN 2024: 1-8 - 2023
- [j6]Xu Ji, Yuchen Lu, Xu Zhuo, Yikun Zhang, Shiyu Zhu, Yang Chen:
A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j5]Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni:
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. ICLR 2023 - [c11]Bing Li, Feng Li, Shaokun Gao, Qile Fan, Yuchen Lu, Reyu Hu, Zhiyuan Zhao:
Efficient Prompt Tuning for Vision and Language Models. ICONIP (11) 2023: 77-89 - [c10]Yuchen Lu, Xiangkai Zhang, Xu Yang, Pin Lv, Liguo Sun, Ryan Wen Liu, Yisheng Lv:
A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance. ICONIP (2) 2023: 413-424 - [c9]Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue (Steve) Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan:
Retrieval-Augmented Multiple Instance Learning. NeurIPS 2023 - [i13]Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan:
Hyper-Decision Transformer for Efficient Online Policy Adaptation. CoRR abs/2304.08487 (2023) - [i12]Zherui Chen, Yuchen Lu, Hao Wang, Yizhou Liu, Tongyang Li:
Quantum Langevin Dynamics for Optimization. CoRR abs/2311.15587 (2023) - 2022
- [j4]Huahui Xie, Li Dai, Yuchen Lu, Yuanqing Xia:
Disturbance Rejection MPC Framework for Input-Affine Nonlinear Systems. IEEE Trans. Autom. Control. 67(12): 6595-6610 (2022) - [c8]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. ICML 2022: 24631-24645 - [i11]Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni:
Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. CoRR abs/2206.01251 (2022) - [i10]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR abs/2206.13499 (2022) - [i9]Siddharth Verma, Yuchen Lu, Rui Hou, Hanchao Yu, Nicolas Ballas, Madian Khabsa, Amjad Almahairi:
Uniform Masking Prevails in Vision-Language Pretraining. CoRR abs/2212.05195 (2022) - 2021
- [j3]Li Dai, Yuchen Lu, Huahui Xie, Zhongqi Sun, Yuanqing Xia:
Robust Tracking Model Predictive Control With Quadratic Robustness Constraint for Mobile Robots With Incremental Input Constraints. IEEE Trans. Ind. Electron. 68(10): 9789-9799 (2021) - [c7]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. ICLR 2021 - [c6]Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville:
Iterated learning for emergent systematicity in VQA. ICLR 2021 - [i8]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. CoRR abs/2103.10972 (2021) - [i7]Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron C. Courville:
Iterated learning for emergent systematicity in VQA. CoRR abs/2105.01119 (2021) - 2020
- [j2]Changsheng Dai, Zhuoran Zhang, Yuchen Lu, Guanqiao Shan, Xian Wang, Qili Zhao, Changhai Ru, Yu Sun:
Robotic Manipulation of Deformable Cells for Orientation Control. IEEE Trans. Robotics 36(1): 271-283 (2020) - [c5]Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville:
Supervised Seeded Iterated Learning for Interactive Language Learning. EMNLP (1) 2020: 3962-3970 - [c4]Yuchen Lu, Soumye Singhal, Florian Strub, Aaron C. Courville, Olivier Pietquin:
Countering Language Drift with Seeded Iterated Learning. ICML 2020: 6437-6447 - [c3]Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu:
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. MLMI@MICCAI 2020: 91-100 - [i6]Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu:
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. CoRR abs/2003.09365 (2020) - [i5]Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville:
Countering Language Drift with Seeded Iterated Learning. CoRR abs/2003.12694 (2020) - [i4]Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron C. Courville:
Supervised Seeded Iterated Learning for Interactive Language Learning. CoRR abs/2010.02975 (2020)
2010 – 2019
- 2019
- [j1]Dawei Xiao, Min Chen, Yuchen Lu, Songshan Yue, Tao Hou:
Research on the Construction Method of the Service-Oriented Web-SWMM System. ISPRS Int. J. Geo Inf. 8(6): 268 (2019) - [c2]Changsheng Dai, Zhuoran Zhang, Yuchen Lu, Guanqiao Shan, Xian Wang, Qili Zhao, Yu Sun:
Robotic Orientation Control of Deformable Cells. ICRA 2019: 8980-8985 - [c1]Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville:
No-Press Diplomacy: Modeling Multi-Agent Gameplay. NeurIPS 2019: 4476-4487 - [i3]Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron C. Courville:
No Press Diplomacy: Modeling Multi-Agent Gameplay. CoRR abs/1909.02128 (2019) - [i2]Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu:
Boosting Image Recognition with Non-differentiable Constraints. CoRR abs/1910.00736 (2019) - 2018
- [i1]Yuchen Lu, Peng Xu:
Anomaly Detection for Skin Disease Images Using Variational Autoencoder. CoRR abs/1807.01349 (2018)
Coauthor Index
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