Liu, Tianqi

21 publications

ICLR 2025 Building Math Agents with Multi-Turn Iterative Preference Learning Wei Xiong, Chengshuai Shi, Jiaming Shen, Aviv Rosenberg, Zhen Qin, Daniele Calandriello, Misha Khalman, Rishabh Joshi, Bilal Piot, Mohammad Saleh, Chi Jin, Tong Zhang, Tianqi Liu

CVPR 2025 CH3Depth: Efficient and Flexible Depth Foundation Model with Flow Matching Jiaqi Li, Yiran Wang, Jinghong Zheng, Junrui Zhang, Liao Shen, Tianqi Liu, Zhiguo Cao

CVPR 2025 DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting Liao Shen, Tianqi Liu, Huiqiang Sun, Jiaqi Li, Zhiguo Cao, Wei Li, Chen Change Loy

ICCV 2025 Free4D: Tuning-Free 4D Scene Generation with Spatial-Temporal Consistency Tianqi Liu, Zihao Huang, Zhaoxi Chen, Guangcong Wang, Shoukang Hu, Liao Shen, Huiqiang Sun, Zhiguo Cao, Wei Li, Ziwei Liu

ICCV 2025 MuGS: Multi-Baseline Generalizable Gaussian Splatting Reconstruction Yaopeng Lou, Liao Shen, Tianqi Liu, Jiaqi Li, Zihao Huang, Huiqiang Sun, Zhiguo Cao

ICLRW 2025 RMBoost: Reward Model Training with Preference-Conditional Multi-Aspect Synthetic Data Generation Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky

ICLR 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh

ICML 2025 Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V Le, Qijun Tan, Yuan Liu

CVPR 2025 WildAvatar: Learning In-the-Wild 3D Avatars from the Web Zihao Huang, Shoukang Hu, Guangcong Wang, Tianqi Liu, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu

CVPR 2024 3D Multi-Frame Fusion for Video Stabilization Zhan Peng, Xinyi Ye, Weiyue Zhao, Tianqi Liu, Huiqiang Sun, Baopu Li, Zhiguo Cao

ECCV 2024 DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion Liao Shen, Tianqi Liu, Huiqiang Sun, Xinyi Ye, Baopu Li, Jianming Zhang, Zhiguo Cao

NeurIPSW 2024 Evolving Alignment via Asymmetric Self-Play Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V Le, Qijun Tan, Yuan Liu

CVPR 2024 Geometry-Aware Reconstruction and Fusion-Refined Rendering for Generalizable Neural Radiance Fields Tianqi Liu, Xinyi Ye, Min Shi, Zihao Huang, Zhiyu Pan, Zhan Peng, Zhiguo Cao

ICML 2024 Human Alignment of Large Language Models Through Online Preference Optimisation Daniele Calandriello, Zhaohan Daniel Guo, Remi Munos, Mark Rowland, Yunhao Tang, Bernardo Avila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot

ECCV 2024 MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo Tianqi Liu, Guangcong Wang, Shoukang Hu, Liao Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu

CVPRW 2024 NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang

ICLR 2024 Statistical Rejection Sampling Improves Preference Optimization Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J Liu, Jialu Liu

ICCV 2023 Constraining Depth mAP Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-Shaped Depth Cells Xinyi Ye, Weiyue Zhao, Tianqi Liu, Zihao Huang, Zhiguo Cao, Xin Li

ICCV 2023 When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo Tianqi Liu, Xinyi Ye, Weiyue Zhao, Zhiyu Pan, Min Shi, Zhiguo Cao

JMLR 2020 Learning Causal Networks via Additive Faithfulness Kuang-Yao Lee, Tianqi Liu, Bing Li, Hongyu Zhao

ECCVW 2018 Constrained-Size TensorFlow Models for YouTube-8m Video Understanding Challenge Tianqi Liu, Bo Liu