| 2025 | MMSP | Blind Image Super-Resolution with Local and Global Dual-Guidance. | Yajun Qiu, Shuyuan Zhu, Lantao Yu, Bing Zeng |
| 2025 | WACV | A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. | Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot |
| 2024 | CVPR | DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. | 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 | AAAI | Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching. | Lantao Yu, Tianhe Yu, Jiaming Song, Willie Neiswanger, Stefano Ermon |
| 2022 | ICLR | GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. | Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang |
| 2022 | ICML | A General Recipe for Likelihood-free Bayesian Optimization. | Jiaming Song, Lantao Yu, Willie Neiswanger, Stefano Ermon |
| 2021 | ICIP | A Discrete Scheme for Computing Image's Weighted Gaussian Curvature. | Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu |
| 2021 | ICIP | Quarter Laplacian Filter For Edge Aware Image Processing. | Yuanhao Gong, Wenming Tang, Lebin Zhou, Lantao Yu, Guoping Qiu |
| 2020 | AAAI | Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. | Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu |
| 2020 | AISTATS | Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. | Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li |
| 2020 | ECAI | Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. | Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu |
| 2020 | ICASSP | Blind Multi-Spectral Image Pan-Sharpening. | Lantao Yu, Dehong Liu, Hassan Mansour, Petros T. Boufounos, Yanting Ma |
| 2020 | ICML | Training Deep Energy-Based Models with f-Divergence Minimization. | Lantao Yu, Yang Song, Jiaming Song, Stefano Ermon |
| 2019 | AAAI | Deep Reinforcement Learning for Green Security Games with Real-Time Information. | Yufei Wang, Zheyuan Ryan Shi, Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang |
| 2019 | ICASSP | Single Image Interpolation Exploiting Semi-local Similarity. | Lantao Yu, Michael T. Orchard |
| 2019 | ICIP | When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation. | Lantao Yu, Michael T. Orchard |
| 2019 | ICIP | Accurate Edge Location Identification Based on Location-Directed Image Modeling. | Lantao Yu, Michael T. Orchard |
| 2019 | ICML | CoT: Cooperative Training for Generative Modeling of Discrete Data. | Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang |
| 2019 | ICML | Multi-Agent Adversarial Inverse Reinforcement Learning. | Lantao Yu, Jiaming Song, Stefano Ermon |
| 2019 | ICML | Lipschitz Generative Adversarial Nets. | Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang |
| 2018 | AAAI | Deep Reinforcement Learning for Green Security Game with Online Information. | Lantao Yu, Yi Wu, Rohit Singh, Lucas Joppa, Fei Fang |
| 2018 | ICIP | Location-Directed Image Modeling and its Application to Image Interpolation. | Lantao Yu, Michael T. Orchard |
| 2017 | AAAI | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. | Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu |
| 2017 | KDD | Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. | Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang |
| 2017 | SIGIR | IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. | Jun Wang, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang |