Xiuyuan Lu - RankMe

39 papers A* 5A 4Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Exploration at Scale. CoRR Seyed Mohammad Asghari, Chris Chute, Vikranth Dwaracherla, Xiuyuan Lu, Mehdi Jafarnia, Victor Minden, Zheng Wen, Benjamin Van Roy
2025	J	`jnl`	ESVO2: Direct Visual-Inertial Odometry With Stereo Event Cameras. IEEE Trans. Robotics Junkai Niu, Sheng Zhong, Xiuyuan Lu, Shaojie Shen, Guillermo Gallego, Yi Zhou
2025	J	`jnl`	Event-Based Visual-Inertial State Estimation for High-Speed Maneuvers. IEEE Trans. Robotics Xiuyuan Lu, Yi Zhou, Jiayao Mai, Kuan Dai, Yang Xu, Shaojie Shen
2025	—	`conf`	Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systems. ROBIO Jiayao Mai, Xiuyuan Lu, Kuan Dai, Shaojie Shen, Yi Zhou
2025	J	`jnl`	Temporal and Rotational Calibration for Event-Centric Multi-Sensor Systems. CoRR Jiayao Mai, Xiuyuan Lu, Kuan Dai, Shaojie Shen, Yi Zhou
2024	J	`jnl`	ESVO2: Direct Visual-Inertial Odometry with Stereo Event Cameras. CoRR Junkai Niu, Sheng Zhong, Xiuyuan Lu, Shaojie Shen, Guillermo Gallego, Yi Zhou
2024	—	`conf`	Event-Aided Time-to-Collision Estimation for Autonomous Driving. ECCV (54) Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou
2024	J	`jnl`	Event-Aided Time-to-Collision Estimation for Autonomous Driving. CoRR Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou
2024	—	`conf`	Event-based Visual Inertial Velometer. Robotics: Science and Systems Xiuyuan Lu, Yi Zhou, Junkai Niu, Sheng Zhong, Shaojie Shen
2023	A	`conf`	Approximate Thompson Sampling via Epistemic Neural Networks. UAI Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
2023	J	`jnl`	Approximate Thompson Sampling via Epistemic Neural Networks. CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
2023	J	`jnl`	Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. Trans. Mach. Learn. Res. Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
2023	A*	`conf`	Epistemic Neural Networks. NeurIPS Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy
2023	J	`jnl`	Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts. IEEE Trans. Neural Networks Learn. Syst. Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen
2023	J	`jnl`	Event-based Visual Inertial Velometer. CoRR Xiuyuan Lu, Yi Zhou, Shaojie Shen
2023	J	`jnl`	RLHF and IIA: Perverse Incentives. CoRR Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
2023	J	`jnl`	Reinforcement Learning, Bit by Bit. Found. Trends Mach. Learn. Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
2022	A*	`conf`	An Analysis of Ensemble Sampling. NeurIPS Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
2022	J	`jnl`	An Analysis of Ensemble Sampling. CoRR Chao Qin, Zheng Wen, Xiuyuan Lu, Benjamin Van Roy
2022	J	`jnl`	Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping. CoRR Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy
2022	J	`jnl`	Evaluating High-Order Predictive Distributions in Deep Learning. CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
2022	A	`conf`	Evaluating high-order predictive distributions in deep learning. UAI Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Benjamin Van Roy
2022	J	`jnl`	GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation. IEEE Trans. Robotics Shaozu Cao, Xiuyuan Lu, Shaojie Shen
2022	J	`jnl`	Robustness of Epinets against Distributional Shifts. CoRR Xiuyuan Lu, Ian Osband, Seyed Mohammad Asghari, Sven Gowal, Vikranth Dwaracherla, Zheng Wen, Benjamin Van Roy
2022	A*	`conf`	The Neural Testbed: Evaluating Joint Predictions. NeurIPS Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
2021	J	`jnl`	Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy
2021	J	`jnl`	Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions. CoRR Xiuyuan Lu, Ian Osband, Benjamin Van Roy, Zheng Wen
2021	A	`conf`	Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. IROS Xiuyuan Lu, Yi Zhou, Shaojie Shen
2021	J	`jnl`	Event-based Motion Segmentation by Cascaded Two-Level Multi-Model Fitting. CoRR Xiuyuan Lu, Yi Zhou, Shaojie Shen
2021	J	`jnl`	GVINS: Tightly Coupled GNSS-Visual-Inertial Fusion for Smooth and Consistent State Estimation. CoRR Shaozu Cao, Xiuyuan Lu, Shaojie Shen
2021	J	`jnl`	Reinforcement Learning, Bit by Bit. CoRR Xiuyuan Lu, Benjamin Van Roy, Vikranth Dwaracherla, Morteza Ibrahimi, Ian Osband, Zheng Wen
2020	J	`jnl`	Event-based Motion Segmentation with Spatio-Temporal Graph Cuts. CoRR Yi Zhou, Guillermo Gallego, Xiuyuan Lu, Siqi Liu, Shaojie Shen
2020	A*	`conf`	Hypermodels for Exploration. ICLR Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
2020	J	`jnl`	Hypermodels for Exploration. CoRR Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy
2019	A*	`conf`	Information-Theoretic Confidence Bounds for Reinforcement Learning. NeurIPS Xiuyuan Lu, Benjamin Van Roy
2019	J	`jnl`	Information-Theoretic Confidence Bounds for Reinforcement Learning. CoRR Xiuyuan Lu, Benjamin Van Roy
2018	A	`conf`	Efficient online recommendation via low-rank ensemble sampling. RecSys Xiuyuan Lu, Zheng Wen, Branislav Kveton
2017	—	`conf`	Ensemble Sampling. NIPS Xiuyuan Lu, Benjamin Van Roy
2017	J	`jnl`	Ensemble Sampling. CoRR Xiuyuan Lu, Benjamin Van Roy