Li, Ge

70 publications

NeurIPS 2025 BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning Hongyi Zhou, Weiran Liao, Xi Huang, Yucheng Tang, Fabian Otto, Xiaogang Jia, Xinkai Jiang, Simon Hilber, Ge Li, Qian Wang, Ömer Erdinç Yağmurlu, Nils Blank, Moritz Reuss, Rudolf Lioutikov

AAAI 2025 ContextHOI: Spatial Context Learning for Human-Object Interaction Detection Mingda Jia, Liming Zhao, Ge Li, Yun Zheng

ICCV 2025 DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads Xiaoxi Liang, Yanbo Fan, Qiya Yang, Xuan Wang, Wei Gao, Ge Li

ICML 2025 DIME: Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

ICLRW 2025 Diffusion-Based Maximum Entropy Reinforcement Learning Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann

NeurIPS 2025 FAN: Fourier Analysis Networks Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jinliang Deng, Jing Su, Jun Zhang, Jingjing Xu

ICCV 2025 Flow4Agent: Long-Form Video Understanding via Motion Prior from Optical Flow Ruyang Liu, Shangkun Sun, Haoran Tang, Wei Gao, Ge Li

CoRL 2025 IRIS: An Immersive Robot Interaction System Xinkai Jiang, Qihao Yuan, Enes Ulas Dincer, Hongyi Zhou, Ge Li, Xueyin Li, Xiaogang Jia, Timo Schnizer, Nicolas Schreiber, Weiran Liao, Julius Haag, Kailai Li, Gerhard Neumann, Rudolf Lioutikov

AAAI 2025 MUSE: Mamba Is Efficient Multi-Scale Learner for Text-Video Retrieval Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang

AAAI 2025 Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection Mingda Jia, Liming Zhao, Ge Li, Yun Zheng

AAAI 2025 Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li

NeurIPS 2025 PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning Xiaogang Jia, Qian Wang, Anrui Wang, Han A. Wang, Balázs Gyenes, Emiliyan Gospodinov, Xinkai Jiang, Ge Li, Hongyi Zhou, Weiran Liao, Xi Huang, Maximilian Beck, Moritz Reuss, Rudolf Lioutikov, Gerhard Neumann

NeurIPS 2025 Reasoning Is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei

NeurIPS 2025 Recursive Transformer: Boosting Reasoning Ability with State Stack Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Yihong Dong, Jia Li, Jingjing Xu, Zhi Jin

NeurIPS 2025 SATURN: SAT-Based Reinforcement Learning to Unleash LLMs Reasoning Huanyu Liu, Ge Li, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong

IJCAI 2025 Stochasticity-Aware No-Reference Point Cloud Quality Assessment Songlin Fan, Wei Gao, Zhineng Chen, Ge Li, Guoqing Liu, Qicheng Wang

ICLR 2025 TOP-ERL: Transformer-Based Off-Policy Episodic Reinforcement Learning Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

ICLRW 2025 TOP-ERL: Transformer-Based Off-Policy Episodic Reinforcement Learning Ge Li, Dong Tian, Hongyi Zhou, Xinkai Jiang, Rudolf Lioutikov, Gerhard Neumann

ICLRW 2025 Towards Fusing Point Cloud and Visual Representations for Imitation Learning Atalay Donat, Xiaogang Jia, Xi Huang, Aleksandar Taranovic, Denis Blessing, Ge Li, Hongyi Zhou, Hanyi Zhang, Rudolf Lioutikov, Gerhard Neumann

CVPR 2024 BT-Adapter: Video Conversation Is Feasible Without Video Instruction Tuning Ruyang Liu, Chen Li, Yixiao Ge, Thomas H. Li, Ying Shan, Ge Li

NeurIPS 2024 CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Marceau Caron

NeurIPS 2024 Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation Zhiyi Pan, Wei Gao, Shan Liu, Ge Li

NeurIPS 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

AAAI 2024 Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei

CVPR 2024 Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection Jiaming Li, Jiacheng Zhang, Jichang Li, Ge Li, Si Liu, Liang Lin, Guanbin Li

AAAI 2024 Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li

CoRL 2024 MaIL: Improving Imitation Learning with Selective State Space Models Xiaogang Jia, Qian Wang, Atalay Donat, Bowen Xing, Ge Li, Hongyi Zhou, Onur Celik, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

ICLR 2024 Open the Black Box: Step-Based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

ECCV 2024 ST-LLM: Large Language Models Are Effective Temporal Learners Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li

NeurIPS 2024 Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov

ICCV 2023 AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing Lvfang Tao, Wei Gao, Ge Li, Chenhao Zhang

NeurIPS 2023 Birder: Communication-Efficient 1-Bit Adaptive Optimizer for Practical Distributed DNN Training Hanyang Peng, Shuang Qin, Yue Yu, Jin Wang, Hui Wang, Ge Li

ICLR 2023 Causality Compensated Attention for Contextual Biased Visual Recognition Ruyang Liu, Jingjia Huang, Thomas H. Li, Ge Li

CVPR 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression Rui Song, Chunyang Fu, Shan Liu, Ge Li

WACV 2023 Frequency-Aware Self-Supervised Monocular Depth Estimation Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li

CVPR 2023 Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li

IJCAI 2023 Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang

CVPR 2023 Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li

WACV 2023 Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li

CVPR 2022 Contextual Debiasing for Visual Recognition with Causal Mechanisms Ruyang Liu, Hao Liu, Ge Li, Haodi Hou, TingHao Yu, Tao Yang

NeurIPS 2022 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin

ICLRW 2022 Learning to Share in Multi-Agent Reinforcement Learning Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu

NeurIPS 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu

AAAI 2022 Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji

CVPR 2022 Neural Texture Extraction and Distribution for Controllable Person Image Synthesis Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li

AAAI 2022 OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu

NeurIPS 2022 SKFlow: Learning Optical Flow with Super Kernels Shangkun Sun, Yuanqi Chen, Yu Zhu, Guodong Guo, Ge Li

ECCV 2022 Salient Object Detection for Point Clouds Songlin Fan, Wei Gao, Ge Li

CVPR 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji

NeurIPS 2021 Integrating Tree Path in Transformer for Code Representation Han Peng, Ge Li, Wenhan Wang, YunFei Zhao, Zhi Jin

ICCV 2021 PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu

AAAI 2021 SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li

CoRL 2021 Specializing Versatile Skill Libraries Using Local Mixture of Experts Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann

ICCV 2021 Structure-Transformed Texture-Enhanced Network for Person Image Synthesis Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li

AAAI 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models Huangzhao Zhang, Zhuo Li, Ge Li, Lei Ma, Yang Liu, Zhi Jin

IJCAI 2020 NLocalSAT: Boosting Local Search with Solution Prediction Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang

AAAI 2020 Region Focus Network for Joint Optic Disc and Cup Segmentation Ge Li, Changsheng Li, Chan Zeng, Peng Gao, Guotong Xie

AAAI 2019 A Grammar-Based Structural CNN Decoder for Code Generation Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang

IJCAI 2019 ARMIN: Towards a More Efficient and Light-Weight Recurrent Memory Network Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li

NeurIPS 2019 Code Generation as a Dual Task of Code Summarization Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin

NeurIPS 2019 Multi-Mapping Image-to-Image Translation via Learning Disentanglement Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas Li, Ge Li

CVPRW 2019 Real Photographs Denoising with Noise Domain Adaptation and Attentive Generative Adversarial Network Kai Lin, Thomas H. Li, Shan Liu, Ge Li

ICCVW 2019 Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection Chunbiao Zhu, Wei Yan, Shan Liu, Thomas H. Li, Ge Li

AAAI 2018 SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao

IJCAI 2018 Summarizing Source Code with Transferred API Knowledge Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin

ICCVW 2017 A New Low-Light Image Enhancement Algorithm Using Camera Response Model Zhenqiang Ying, Ge Li, Yurui Ren, Ronggang Wang, Wenmin Wang

ICCVW 2017 A Three-Pathway Psychobiological Framework of Salient Object Detection Using Stereoscopic Technology Ge Li, Chunbiao Zhu

ICCVW 2017 An Innovative Salient Object Detection Using Center-Dark Channel Prior Chunbiao Zhu, Ge Li, Wenmin Wang, Ronggang Wang

ICCVW 2017 Towards Automatic Wild Animal Detection in Low Quality Camera-Trap Images Using Two-Channeled Perceiving Residual Pyramid Networks Chunbiao Zhu, Thomas H. Li, Ge Li

AAAI 2016 Convolutional Neural Networks over Tree Structures for Programming Language Processing Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin