Lantao Yu

71 papers A* 18A 5B 5C 2Misc 2Journal 36Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data.
CoRR
Zongxia Li, Hongyang Du, Chengsong Huang, Xiyang Wu, Lantao Yu, Yicheng He, Jing Xie, Xiaomin Wu, Zhichao Liu, Jiarui Zhang, Fuxiao Liu
2025 A conf
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
WACV
Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot
2025 — conf
A Filter for Minimizing Gaussian Curvature on 3D Triangular Meshes.
ISBI
Yuanhao Gong, Tan Tang, Zeyu Yang, Lantao Yu
2025 C conf
Blind Image Super-Resolution with Local and Global Dual-Guidance.
MMSP
Yajun Qiu, Shuyuan Zhu, Lantao Yu, Bing Zeng
2025 J jnl
Ultra-Malin: Robotic Ultrasound Mapping and Localization via Implicit Neural Representation.
IEEE Trans. Instrum. Meas.
Shuai Zhang, Bo Ouyang, Cancan Zhao, Lantao Yu, Leiqi Tian, Tongyu Jia, Zhijun Xing, Kawal S. Rhode
2024 A* conf
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision.
CVPR
Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera
2024 A conf
I-Matting: Improved Trimap-Free Image Matting.
ICME
Zichuan Liu, Ke Wang, Mingyuan Wu, Lantao Yu, Klara Nahrstedt, Xin Lu
2024 J jnl
Isotropic Gaussian Splatting for Real-Time Radiance Field Rendering.
CoRR
Yuanhao Gong, Lantao Yu, Guanghui Yue
2024 J jnl
Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation.
CoRR
Yu-Jhe Li, Xinyang Zhang, Kun Wan, Lantao Yu, Ajinkya Kale, Xin Lu
2023 J jnl
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.
CoRR
Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Helge Rhodin, Ratheesh Kalarot
2023 J jnl
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision.
CoRR
Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera
2023 A* conf
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.
AAAI
Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
2023 J jnl
Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching.
CoRR
Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon
2022 A* conf
A General Recipe for Likelihood-free Bayesian Optimization.
ICML
Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
2022 J jnl
A General Recipe for Likelihood-free Bayesian Optimization.
CoRR
Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon
2022 J jnl
Fast and High-Quality Blind Multi-Spectral Image Pansharpening.
IEEE Trans. Geosci. Remote. Sens.
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos
2022 A* conf
Generalizing Bayesian Optimization with Decision-theoretic Entropies.
NeurIPS
Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
2022 J jnl
Generalizing Bayesian Optimization with Decision-theoretic Entropies.
CoRR
Willie Neiswanger, Lantao Yu, Shengjia Zhao, Chenlin Meng, Stefano Ermon
2022 A* conf
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation.
ICLR
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2022 J jnl
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.
CoRR
Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2021 B conf
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature.
ICIP
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
2021 J jnl
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature.
CoRR
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
2021 J jnl
A Unified Framework for Multi-distribution Density Ratio Estimation.
CoRR
Lantao Yu, Yujia Jin, Stefano Ermon
2021 J jnl
Adversarial Inverse Reinforcement Learning With Self-Attention Dynamics Model.
IEEE Robotics Autom. Lett.
Jiankai Sun, Lantao Yu, Pinqian Dong, Bo Lu, Bolei Zhou
2021 J jnl
Fast and High-Quality Blind Multi-Spectral Image Pansharpening.
CoRR
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos
2021 J jnl
Manifold-Inspired Single Image Interpolation.
CoRR
Lantao Yu, Kuida Liu, Michael T. Orchard
2021 J jnl
Multi-Agent Imitation Learning with Copulas.
CoRR
Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
2021 — conf
Multi-agent Imitation Learning with Copulas.
ECML/PKDD (1)
Hongwei Wang, Lantao Yu, Zhangjie Cao, Stefano Ermon
2021 A* conf
Pseudo-Spherical Contrastive Divergence.
NeurIPS
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
2021 J jnl
Pseudo-Spherical Contrastive Divergence.
CoRR
Lantao Yu, Jiaming Song, Yang Song, Stefano Ermon
2021 B conf
Quarter Laplacian Filter For Edge Aware Image Processing.
ICIP
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
2021 J jnl
Quarter Laplacian Filter for Edge Aware Image Processing.
CoRR
Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu
2020 A* conf
Autoregressive Score Matching.
NeurIPS
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Autoregressive Score Matching.
CoRR
Chenlin Meng, Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 Misc conf
Blind Multi-Spectral Image Pan-Sharpening.
ICASSP
Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos, Yanting Ma
2020 A conf
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.
AISTATS
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
2020 J jnl
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.
CoRR
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li
2020 A conf
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.
ECAI
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2020 A* conf
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.
AAAI
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
2020 J jnl
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.
CoRR
Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu
2020 A* conf
MOPO: Model-based Offline Policy Optimization.
NeurIPS
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y. Zou, Sergey Levine, Chelsea Finn, Tengyu Ma
2020 J jnl
MOPO: Model-based Offline Policy Optimization.
CoRR
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma
2020 A* conf
Training Deep Energy-Based Models with f-Divergence Minimization.
ICML
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Training Deep Energy-Based Models with f-Divergence Minimization.
CoRR
Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon
2020 J jnl
Understanding Self-supervised Learning with Dual Deep Networks.
CoRR
Yuandong Tian, Lantao Yu, Xinlei Chen, Surya Ganguli
2019 B conf
Accurate Edge Location Identification Based on Location-Directed Image Modeling.
ICIP
Lantao Yu, Michael T. Orchard
2019 A* conf
CoT: Cooperative Training for Generative Modeling of Discrete Data.
ICML
Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang
2019 A* conf
Deep Reinforcement Learning for Green Security Games with Real-Time Information.
AAAI
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2019 J jnl
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.
CoRR
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
2019 A* conf
Lipschitz Generative Adversarial Nets.
ICML
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
2019 J jnl
Lipschitz Generative Adversarial Nets.
CoRR
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang
2019 A* conf
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.
NeurIPS
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon
2019 J jnl
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.
CoRR
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon
2019 A* conf
Multi-Agent Adversarial Inverse Reinforcement Learning.
ICML
Lantao Yu, Jiaming Song, Stefano Ermon
2019 J jnl
Multi-Agent Adversarial Inverse Reinforcement Learning.
CoRR
Lantao Yu, Jiaming Song, Stefano Ermon
2019 Misc conf
Single Image Interpolation Exploiting Semi-local Similarity.
ICASSP
Lantao Yu, Michael T. Orchard
2019 B conf
When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation.
ICIP
Lantao Yu, Michael T. Orchard
2018 A conf
A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
AAMAS
Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang
2018 J jnl
CoT: Cooperative Training for Generative Modeling.
CoRR
Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu
2018 — conf
Deep Reinforcement Learning for Green Security Game with Online Information.
AAAI Workshops
Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2018 J jnl
Deep Reinforcement Learning for Green Security Games with Real-Time Information.
CoRR
Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang
2018 C conf
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
COMPASS
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Xiaodong Zhang, Fei Fang
2018 J jnl
Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
CoRR
Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang, Yongchao Jin, Weiping Li, Haidong Zhang, Fei Fang
2018 B conf
Location-Directed Image Modeling and its Application to Image Interpolation.
ICIP
Lantao Yu, Michael T. Orchard
2018 J jnl
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis.
CoRR
Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu
2017 J jnl
An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.
CoRR
Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu
2017 A* conf
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration.
KDD
Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
2017 A* conf
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
SIGIR
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
2017 J jnl
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
CoRR
Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
2017 A* conf
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
AAAI
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu
2016 J jnl
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
CoRR
Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu