Gao, Yue

72 publications

ICLR 2025 Beyond Graphs: Can Large Language Models Comprehend Hypergraphs? Yifan Feng, Chengwu Yang, Xingliang Hou, Shaoyi Du, Shihui Ying, Zongze Wu, Yue Gao

CoRL 2025 Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots Yangqing Fu, Yang Zhang, Qiyue Yang, Liyun Yan, Zhanxiang Cao, Yue Gao

ICCV 2025 Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Juncheng Mu, Chengwei Ren, Weixiang Zhang, Liang Pan, Xiao-Ping Zhang, Yue Gao

CVPR 2025 FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video Yue Gao, Hong-Xing Yu, Bo Zhu, Jiajun Wu

CVPR 2025 GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning Lin Bie, Shouan Pan, Siqi Li, Yining Zhao, Yue Gao

ICCV 2025 Hyper-Depth: Hypergraph-Based Multi-Scale Representation Fusion for Monocular Depth Estimation Lin Bie, Siqi Li, Yifan Feng, Yue Gao

UAI 2025 Letting Uncertainty Guide Your Multimodal Machine Translation Wuyi Liu, Yue Gao, Yige Mao, Jing Zhao

IJCAI 2025 Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan

ICLR 2025 Select Before Act: Spatially Decoupled Action Repetition for Continuous Control Buqing Nie, Yangqing Fu, Yue Gao

CVPR 2024 3D Feature Tracking via Event Camera Siqi Li, Zhikuan Zhou, Zhou Xue, Yipeng Li, Shaoyi Du, Yue Gao

NeurIPS 2024 Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao

CVPR 2024 ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion Juncheng Mu, Lin Bie, Shaoyi Du, Yue Gao

ICLR 2024 Hypergraph Dynamic System Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao

AAAI 2024 Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao

CVPR 2024 Implicit Motion Function Yue Gao, Jiahao Li, Lei Chu, Yan Lu

AAAI 2024 Improve Robustness of Reinforcement Learning Against Observation Perturbations via L∞ Lipschitz Policy Networks Buqing Nie, Jingtian Ji, Yangqing Fu, Yue Gao

ICLR 2024 LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao

AAAI 2024 Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao

NeurIPS 2024 Multi-Scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree Chengwei Ren, Yifan Feng, Weixiang Zhang, Xiao-Ping Zhang, Yue Gao

IJCAI 2024 Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval Yang Xu, Yifan Feng, Yue Gao

ICML 2024 Position: Topological Deep Learning Is the New Frontier for Relational Learning Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T Schaub, Petar Veličković, Bei Wang, Yusu Wang, Guowei Wei, Ghada Zamzmi

NeurIPS 2024 Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao

NeurIPS 2023 Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction Yangqing Fu, Ming Sun, Buqing Nie, Yue Gao

AAAI 2023 EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems Mengli Cheng, Yue Gao, Guoqiang Liu, Hongsheng Jin

CVPR 2023 High-Fidelity and Freely Controllable Talking Head Video Generation Yue Gao, Yuan Zhou, Jinglu Wang, Xiao Li, Xiang Ming, Yan Lu

CVPR 2023 LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han

AAAI 2023 Learning Deep Hierarchical Features with Spatial Regularization for One-Class Facial Expression Recognition Bingjun Luo, Junjie Zhu, Tianyu Yang, Sicheng Zhao, Chao Hu, Xibin Zhao, Yue Gao

NeurIPS 2023 NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han

CVPR 2023 SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han

ECCV 2022 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform Yining Zhao, Chao Wen, Zhou Xue, Yue Gao

NeurIPS 2022 Grow and Merge: A Unified Framework for Continuous Categories Discovery Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao

ICML 2022 Lazy Estimation of Variable Importance for Large Neural Networks Yue Gao, Abby Stevens, Garvesh Raskutti, Rebecca Willett

CVPR 2022 Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li

NeurIPS 2022 On the Limitations of Stochastic Pre-Processing Defenses Yue Gao, I Shumailov, Kassem Fawaz, Nicolas Papernot

ICML 2022 Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems Yue Gao, Ilia Shumailov, Kassem Fawaz

ICLR 2022 Rethinking Supervised Pre-Training for Better Downstream Transferring Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao

CVPR 2021 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas

NeurIPS 2021 Aligning Pretraining for Detection via Object-Level Contrastive Learning Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin

AAAI 2021 Domain General Face Forgery Detection by Learning to Weight Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji

ICCV 2021 Event Stream Super-Resolution via Spatiotemporal Constraint Learning Siqi Li, Yutong Feng, Yipeng Li, Yu Jiang, Changqing Zou, Yue Gao

CVPR 2021 High-Fidelity and Arbitrary Face Editing Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Zhouhui Lian

AAAI 2021 Improving Image Captioning by Leveraging Intra- and Inter-Layer Global Representation in Transformer Network Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji

ICML 2021 Leveraging Non-Uniformity in First-Order Non-Convex Optimization Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvari, Dale Schuurmans

ICCV 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

CVPR 2021 View-Guided Point Cloud Completion Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao, Yandong Guo, Yue Gao

AAAI 2020 Attention-Based Multi-Modal Fusion Network for Semantic Scene Completion Siqi Li, Changqing Zou, Yipeng Li, Xibin Zhao, Yue Gao

AAAI 2020 Divide and Conquer: Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering Jianwen Jiang, Ziqiang Chen, Haojie Lin, Xibin Zhao, Yue Gao

AAAI 2020 Hypergraph Label Propagation Network Yubo Zhang, Nan Wang, Yufeng Chen, Changqing Zou, Hai Wan, Xibin Zhao, Yue Gao

AAAI 2019 DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao

IJCAI 2019 Dynamic Hypergraph Neural Networks Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao

AAAI 2019 Hypergraph Neural Networks Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji, Yue Gao

AAAI 2019 MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao

AAAI 2019 MeshNet: Mesh Neural Network for 3D Shape Representation Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao

AAAI 2019 PVRNet: Point-View Relation Neural Network for 3D Shape Recognition Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao

IJCAI 2018 Dynamic Hypergraph Structure Learning Zizhao Zhang, Haojie Lin, Yue Gao

AAAI 2018 EMD Metric Learning Zizhao Zhang, Yubo Zhang, Xibin Zhao, Yue Gao

AAAI 2018 Energy-Efficient Automatic Train Driving by Learning Driving Patterns Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu

AAAI 2018 Hypergraph Learning with Cost Interval Optimization Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao

IJCAI 2018 Iterative Metric Learning for Imbalance Data Classification Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao

IJCAI 2018 Personality-Aware Personalized Emotion Recognition from Physiological Signals Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao

IJCAI 2018 Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin

CVPRW 2018 Variational Autoencoder for Low Bit-Rate Image Compression Lei Zhou, Chunlei Cai, Yue Gao, Sanbao Su, Junmin Wu

AAAI 2017 Active Learning with Cross-Class Similarity Transfer Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han

IJCAI 2017 Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han

IJCAI 2017 SitNet: Discrete Similarity Transfer Network for Zero-Shot Hashing Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

IJCAI 2017 Synthesizing Samples for Zero-Shot Learning Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

IJCAI 2017 TUCH: Turning Cross-View Hashing into Single-View Hashing via Generative Adversarial Nets Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao

IJCAI 2017 Vertex-Weighted Hypergraph Learning for Multi-View Object Classification Lifan Su, Yue Gao, Xibin Zhao, Hai Wan, Ming Gu, Jiaguang Sun

AAAI 2017 Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

ECCV 2016 Search-Based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference Yan Zhang, Rongrong Ji, Xiaopeng Fan, Yan Wang, Feng Guo, Yue Gao, Debin Zhao

IJCAI 2016 Semi-Supervised Active Learning with Cross-Class Sample Transfer Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang

CVPR 2012 Weakly Supervised Sparse Coding with Geometric Consistency Pooling Liujuan Cao, Rongrong Ji, Yue Gao, Yi Yang, Qi Tian