Gao, Ge

25 publications

AAAI 2025 FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu

ICCV 2025 GIViC: Generative Implicit Video Compression Ge Gao, Siyue Teng, Tianhao Peng, Fan Zhang, David Bull

CVPR 2025 HIIF: Hierarchical Encoding Based Implicit Image Function for Continuous Super-Resolution Yuxuan Jiang, Ho Man Kwan, Tianhao Peng, Ge Gao, Fan Zhang, Xiaoqing Zhu, Joel Sole, David Bull

AAAI 2025 PNVC: Towards Practical INR-Based Video Compression Ge Gao, Ho Man Kwan, Fan Zhang, David Bull

NeurIPS 2025 Principled Fine-Tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward Dipendra Misra, Aldo Pacchiano, Ta-Chung Chi, Ge Gao

AAAI 2025 Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu

NeurIPS 2024 Aligning LLM Agents by Learning Latent Preference from User Edits Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra

ECCVW 2024 DebiasPI: Inference-Time Debiasing by Prompt Iteration of a Text-to-Image Generative Model Sarah Bonna, Yu-Cheng Huang, Ekaterina Novozhilova, Sejin Paik, Zhengyang Shan, Michelle Yilin Feng, Ge Gao, Yonish Tayal, Rushil Kulkarni, Jialin Yu, Nupur Divekar, Deepti Ghadiyaram, Derry Wijaya, Margrit Betke

AAAI 2024 Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring Ge Gao, Xi Yang, Min Chi

AAAI 2024 GridFormer: Point-Grid Transformer for Surface Reconstruction Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu

ECCV 2024 Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu

NeurIPS 2024 NVRC: Neural Video Representation Compression Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull

AAAI 2024 NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu

NeurIPS 2024 Off-Policy Selection for Initiating Human-Centric Experimental Design Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi

ICLR 2024 On Trajectory Augmentations for Off-Policy Evaluation Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi

NeurIPS 2023 HiNeRV: Video Compression with Hierarchical Encoding-Based Neural Representation Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull

IJCAI 2023 Hierarchical Apprenticeship Learning for Disease Progression Modeling Xi Yang, Ge Gao, Min Chi

NeurIPS 2023 Off-Policy Evaluation for Human Feedback Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic

NeurIPSW 2023 Policy-Gradient Training of Language Models for Ranking Ge Gao, Jonathan Daniel Chang, Claire Cardie, Kianté Brantley, Thorsten Joachims

ICLR 2023 Variational Latent Branching Model for Off-Policy Evaluation Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic

ECCVW 2022 A Geometric-Relational Deep Learning Framework for BIM Object Classification Hairong Luo, Ge Gao, Han Huang, Ziyi Ke, Cheng Peng, Ming Gu

IJCAI 2022 A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi

NeurIPS 2022 Cross-Linked Unified Embedding for Cross-Modality Representation Learning Xinming Tu, Zhi-Jie Cao, Xia Chenrui, Sara Mostafavi, Ge Gao

ICCV 2021 Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition Ge Gao, Pei You, Rong Pan, Shunyuan Han, Yuanyuan Zhang, Yuchao Dai, Hojae Lee

ECCVW 2018 Occlusion Resistant Object Rotation Regression from Point Cloud Segments Ge Gao, Mikko Lauri, Jianwei Zhang, Simone Frintrop