Anomaly Detection for Skin Disease Images Using Variational Autoencoder. - Yuchen Lu; Peng Xu (CoRR, 2018)

Robotic Orientation Control of Deformable Cells. - Changsheng Dai; Zhuoran Zhang 001; Yuchen Lu; Guanqiao Shan; Xian Wang 001; Qili Zhao; Yu Sun 001 (ICRA, 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 001; Aaron C. Courville (NeurIPS, 2019)

Boosting Image Recognition with Non-differentiable Constraints. - Xuan Li; Yuchen Lu; Peng Xu; Jizong Peng; Christian Desrosiers; Xue Liu 001 (CoRR, 2019)

Research on the Construction Method of the Service-Oriented Web-SWMM System. - Dawei Xiao; Min Chen 008; Yuchen Lu; Songshan Yue; Tao Hou (ISPRS Int. J. Geo Inf., 2019)

Supervised Seeded Iterated Learning for Interactive Language Learning. - Yuchen Lu; Soumye Singhal; Florian Strub; Olivier Pietquin; Aaron C. Courville (EMNLP (1), 2020)

Countering Language Drift with Seeded Iterated Learning. - Yuchen Lu; Soumye Singhal; Florian Strub; Aaron C. Courville; Olivier Pietquin (ICML, 2020)

Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. - Xuan Li; Yuchen Lu; Christian Desrosiers; Xue Liu 001 (MLMI@MICCAI, 2020)

Robotic Manipulation of Deformable Cells for Orientation Control. - Changsheng Dai; Zhuoran Zhang 001; Yuchen Lu; Guanqiao Shan; Xian Wang 001; Qili Zhao; Changhai Ru; Yu Sun 001 (IEEE Trans. Robotics, 2020)

Learning Task Decomposition with Ordered Memory Policy Network. - Yuchen Lu; Yikang Shen; Siyuan Zhou; Aaron C. Courville; Joshua B. Tenenbaum; Chuang Gan (ICLR, 2021)

Iterated learning for emergent systematicity in VQA. - Ankit Vani; Max Schwarzer; Yuchen Lu; Eeshan Dhekane; Aaron C. Courville (ICLR, 2021)

Robust Tracking Model Predictive Control With Quadratic Robustness Constraint for Mobile Robots With Incremental Input Constraints. - Li Dai 001; Yuchen Lu; Huahui Xie; Zhongqi Sun; Yuanqing Xia (IEEE Trans. Ind. Electron., 2021)

Prompting Decision Transformer for Few-Shot Policy Generalization. - Mengdi Xu; Yikang Shen; Shun Zhang; Yuchen Lu; Ding Zhao; Joshua B. Tenenbaum; Chuang Gan (ICML, 2022)

Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. - Yuchen Lu; Zhen Liu 019; Aristide Baratin; Romain Laroche; Aaron C. Courville; Alessandro Sordoni (CoRR, 2022)

Uniform Masking Prevails in Vision-Language Pretraining. - Siddharth Verma; Yuchen Lu; Rui Hou; Hanchao Yu; Nicolas Ballas; Madian Khabsa; Amjad Almahairi (CoRR, 2022)

Disturbance Rejection MPC Framework for Input-Affine Nonlinear Systems. - Huahui Xie; Li Dai 001; Yuchen Lu; Yuanqing Xia (IEEE Trans. Autom. Control., 2022)

Hyper-Decision Transformer for Efficient Online Policy Adaptation. - Mengdi Xu; Yuchen Lu; Yikang Shen; Shun Zhang; Ding Zhao; Chuang Gan (ICLR, 2023)

Efficient Prompt Tuning for Vision and Language Models. - Bing Li; Feng Li; Shaokun Gao; Qile Fan; Yuchen Lu; Reyu Hu; Zhiyuan Zhao (ICONIP (11), 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 (ICONIP (2), 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 (NeurIPS, 2023)

Quantum Langevin Dynamics for Optimization. - Zherui Chen; Yuchen Lu; Hao Wang; Yizhou Liu; Tongyang Li (CoRR, 2023)

A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model. - Xu Ji; Yuchen Lu; Xu Zhuo; Yikun Zhang 001; Shiyu Zhu; Yang Chen 008 (IEEE Trans. Instrum. Meas., 2023)

Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. - Yuchen Lu; Zhen Liu 019; Aristide Baratin; Romain Laroche; Aaron C. Courville; Alessandro Sordoni (Trans. Mach. Learn. Res., 2023)

In situ neighborhood sampling for large-scale GNN training. - Yuhang Song; Po-Hao Chen; Yuchen Lu; Naima Abrar; Vasiliki Kalavri (DaMoN, 2024)

Multi-Target NeuralLss Regression with Learned Confidence Space. - Yuchen Lu; Yuanqi He; Guan Wang; Chunlong Fang; Ziyao Sun (IJCNN, 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)

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)

SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT. - Xu Ji; Yuchen Lu; Yikun Zhang 001; Xu Zhuo; Shengqi Kan; Weilong Mao; Gouenou Coatrieux; Jean-Louis Coatrieux; Guotao Quan; Yan Xi; Shuo Li 001; Tianling Lyu; et al. (IEEE Trans. Computational Imaging, 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 008 (IEEE J. Biomed. Health Informatics, 2024)