The Development of E-mathematics Resources at Tsinghua University Library (THUL). - Guilin Liu; Lisheng Feng; Airong Jiang; Xiaohui Zheng (Electronic Information and Communication in Mathematics, 2002)

Research and Implementation of Tsinghua Architecture Digital Library. - Chunxiao Xing; Lizhu Zhou; Kaihua Wu; Guilin Liu (IPDPS, 2002)

Dual-Space Decomposition of 2D Complex Shapes. - Guilin Liu; Zhonghua Xi; Jyh-Ming Lien (CVPR, 2014)

Continuous Visibility Feature. - Guilin Liu; Yotam I. Gingold; Jyh-Ming Lien (CVPR, 2015)

Fast medial-axis approximation via Max-Margin pushing. - Guilin Liu; Jyh-Ming Lien (IROS, 2015)

Nearly convex segmentation of polyhedra through convex ridge separation. - Guilin Liu; Zhonghua Xi; Jyh-Ming Lien (Comput. Aided Des., 2016)

DeepSymmetry: Joint Symmetry and Depth Estimation using Deep Neural Networks. - Guilin Liu; Chao Yang; Zimo Li; Duygu Ceylan; Qixing Huang (CoRR, 2016)

Reliable eyes pose measurement for robotic bionic eyes with MEMS gyroscope and AKF filter. - Guilin Liu; Hafiz Muhammad Owais; Taoran Zhang; Shaowen Fu; Ye Tian; Xiaopeng Chen (CBS, 2017)

Multi-loop stabilization control of a robotic bionic eyes. - Taoran Zhang; Xu Chen; Hafiz Muhammad Owais; Guilin Liu; Shaowen Fu; Ye Tian; Xiaopeng Chen (CBS, 2017)

Material Editing Using a Physically Based Rendering Network. - Guilin Liu; Duygu Ceylan; Ersin Yumer; Jimei Yang; Jyh-Ming Lien (ICCV, 2017)

Design of anthropomorphic robot bionic eyes. - Di Fan; Xiaopeng Chen; Taoran Zhang; Xu Chen; Guilin Liu; Hafiz Muhammad Owais; Hyunwoo Kim; Ye Tian 024; Weimin Zhang; Qiang Huang 002 (ROBIO, 2017)

Image Inpainting for Irregular Holes Using Partial Convolutions. - Guilin Liu; Fitsum A. Reda; Kevin J. Shih; Ting-Chun Wang; Andrew Tao; Bryan Catanzaro (ECCV (11), 2018)

SDC-Net: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (ECCV (7), 2018)

Research on Instructional Design Strategies for Training Students' Problem Solving Ability. - Zengzhao Chen; Ting Qian; Jing Zhang; Qianfan Yu; Guilin Liu (ICITL, 2018)

Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Guilin Liu; Andrew Tao; Jan Kautz; Bryan Catanzaro (CoRR, 2018)

SDCNet: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

Partial Convolution based Padding. - Guilin Liu; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

Learn to Synthesize Appearance, Shape and Motion Using Synthetic Data. - Guilin Liu (2018)

Unsupervised Video Interpolation Using Cycle Consistency. - Fitsum A. Reda; Deqing Sun; Aysegul Dundar; Mohammad Shoeybi; Guilin Liu; Kevin J. Shih; Andrew Tao; Jan Kautz; Bryan Catanzaro (ICCV, 2019)

Neural Inverse Rendering of an Indoor Scene From a Single Image. - Soumyadip Sengupta; Jinwei Gu; Kihwan Kim; Guilin Liu; David W. Jacobs; Jan Kautz (ICCV, 2019)

Few-shot Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Andrew Tao; Guilin Liu; Bryan Catanzaro; Jan Kautz (NeurIPS, 2019)

Study on Threshold Selection Methods in Calculation of Ocean Environmental Design Parameters. - Guilin Liu; Zhikang Gao; Baiyu Chen; Hanliang Fu; Song Jiang 003; Liping Wang; Yi Kou (IEEE Access, 2019)

Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height. - Guilin Liu; Baiyu Chen; Song Jiang 003; Hanliang Fu; Liping Wang; Wei Jiang 021 (Entropy, 2019)

Panoptic-Based Image Synthesis. - Aysegul Dundar; Karan Sapra; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2020)

Neural FFTs for Universal Texture Image Synthesis. - Morteza Mardani; Guilin Liu; Aysegul Dundar; Shiqiu Liu; Andrew Tao; Bryan Catanzaro (NeurIPS, 2020)

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. - Guilin Liu; Rohan Taori; Ting-Chun Wang; Zhiding Yu; Shiqiu Liu; Fitsum A. Reda; Karan Sapra; Andrew Tao; Bryan Catanzaro (CoRR, 2020)

View Generalization for Single Image Textured 3D Models. - Anand Bhattad; Aysegul Dundar; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2021)

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. - Shiyi Lan; Zhiding Yu; Christopher B. Choy; Subhashree Radhakrishnan; Guilin Liu; Yuke Zhu; Larry S. Davis; Anima Anandkumar (ICCV, 2021)

Dual Contrastive Loss and Attention for GANs. - Ning Yu 006; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis 001; Mario Fritz (ICCV, 2021)

Coupled Segmentation and Edge Learning via Dynamic Graph Propagation. - Zhiding Yu; Rui Huang; Wonmin Byeon; Sifei Liu; Guilin Liu; Thomas M. Breuel; Anima Anandkumar; Jan Kautz (NeurIPS, 2021)

Toward a Simple and Generic Approach for Identifying Multi-Year Cotton Cropping Patterns Using Landsat and Sentinel-2 Time Series. - Qiqi Li; Guilin Liu; Weijia Chen (Remote. Sens., 2021)

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. - Songwei Ge; Seungjun Nah; Guilin Liu; Tyler Poon; Andrew Tao; Bryan Catanzaro; David Jacobs 001; Jia-Bin Huang 001; Ming-Yu Liu 001; Yogesh Balaji (ICCV, 2023)

Supply chain operations with online platform: Impacts of online reviews and manufacturer competition. - Song Shi; Guilin Liu (Comput. Ind. Eng., 2023)

Partial Convolution for Padding, Inpainting, and Image Synthesis. - Guilin Liu; Aysegul Dundar; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Xiaodong Yang 001; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Remote sensing classification approach to large-scale crop cultivation identification: A case study of the Aral Sea Basin. - Zhuojian Wen; Desheng Jiang; Ye Jing; Guilin Liu (Trans. GIS, 2023)

DiffiT: Diffusion Vision Transformers for Image Generation. - Ali Hatamizadeh; Jiaming Song; Guilin Liu; Jan Kautz; Arash Vahdat (ECCV (8), 2024)

Mapping abandoned cropland in tropical/subtropical monsoon areas with multiple crop maturity patterns. - Guilin Liu; Yuecheng Li; Yang Chen; Yongquan Lu; Desheng Jiang; Aojie Xu; Yuqi Zhong; He Yin (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Nighttime light data capture spatiotemporal dynamics of dragon fruit cultivation from 2014 to 2022 in China and Vietnam. - Zhuojian Wen; Guilin Liu (Comput. Electron. Agric., 2024)

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. - Min Shi; Fuxiao Liu; Shihao Wang; Shijia Liao; Subhashree Radhakrishnan; De-An Huang; Hongxu Yin; Karan Sapra; Yaser Yacoob; Humphrey Shi; Bryan Catanzaro; Andrew Tao; et al. (CoRR, 2024)

Improved local time-stepping schemes for storm surge modeling on unstructured grids. - Guilin Liu; Tao Ji; Guo-Xiang Wu; Pubing Yu (Environ. Model. Softw., 2024)

A Novel Method for Identifying Crops in Parcels Constrained by Environmental Factors Through the Integration of a Gaofen-2 High-Resolution Remote Sensing Image and Sentinel-2 Time Series. - Weijia Chen; Guilin Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought. - Yunze Man; De-An Huang; Guilin Liu; Shiwei Sheng; Shilong Liu; Liang-Yan Gui; Jan Kautz; Yu-Xiong Wang; Zhiding Yu (CVPR, 2025)

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. - Min Shi; Fuxiao Liu; Shihao Wang; Shijia Liao; Subhashree Radhakrishnan; Yilin Zhao; De-An Huang; Hongxu Yin; Karan Sapra; Yaser Yacoob; Humphrey Shi; Bryan Catanzaro; et al. (ICLR, 2025)

Rice cropping sequence mapping in the tropical monsoon zone via agronomic knowledge graphs integrating phenology and remote sensing. - Hongzhang Nie; Yingchen Lin; Wenfei Luo; Guilin Liu (Ecol. Informatics, 2025)

Trajectories of Arable Land Dynamics and the Relative Importance of Their Driving Factors in the Tarim River Oases. - Desheng Jiang; Yuqi Zhong; Zhuojian Wen; Yaduo Zhang; Guilin Liu (Trans. GIS, 2025)

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. - Zhiqi Li; Guo Chen 006; Shilong Liu; Shihao Wang; Vibashan VS; Yishen Ji; Shiyi Lan; Hao Zhang 097; Yilin Zhao; Subhashree Radhakrishnan; Nadine Chang; Karan Sapra; et al. (CoRR, 2025)

AIDE: Agentically Improve Visual Language Model with Domain Experts. - Ming-Chang Chiu; Fuxiao Liu; Karan Sapra; Andrew Tao; Yaser Jacoob; Xuezhe Ma; Zhiding Yu; Guilin Liu (CoRR, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

Slow-Fast Architecture for Video Multi-Modal Large Language Models. - Min Shi; Shihao Wang; Chieh-Yun Chen; Jitesh Jain; Kai Wang 058; Junjun Xiong; Guilin Liu; Zhiding Yu; Humphrey Shi (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models. - Guo Chen 006; Zhiqi Li; Shihao Wang; Jindong Jiang; Yicheng Liu; Lidong Lu; De-An Huang; Wonmin Byeon; Matthieu Le; Tuomas Rintamaki; Tyler Poon; Max Ehrlich; et al. (CoRR, 2025)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. - Shaokun Zhang; Yi Dong; Jieyu Zhang 001; Jan Kautz; Bryan Catanzaro; Andrew Tao; Qingyun Wu; Zhiding Yu; Guilin Liu (CoRR, 2025)

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. - Mingjie Liu; Shizhe Diao; Jian Hu; Ximing Lu; Xin Dong 009; Hao Zhang 097; Alexander Bukharin; Shaokun Zhang; Jiaqi Zeng; Makesh Narsimhan Sreedhar; Gerald Shen; David Mosallanezhad; et al. (CoRR, 2025)