Liu, Huaping

37 publications

AAAI 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu

ICML 2025 LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification Hang Gao, Huang Wenxuan, Fengge Wu, Zhao Junsuo, Changwen Zheng, Huaping Liu

IJCAI 2025 Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

CVPR 2025 MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao, Qiannan Guo, Jiayin Zhu, Pengfei Li, Zilong Chen, Huiming Yang, Zhiwei Li, Lening Wang, Tiao Tan, Huaping Liu

ICML 2025 Maximum Total Correlation Reinforcement Learning Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz

CVPR 2025 MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation Zilong Chen, Yikai Wang, Wenqiang Sun, Feng Wang, Yiwen Chen, Huaping Liu

TMLR 2025 Rollout Total Correlation for Deep Reinforcement Learning Bang You, Huaping Liu, Jan Peters, Oleg Arenz

ICML 2025 Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci

ICLRW 2025 Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci

IJCAI 2024 CompetEvo: Towards Morphological Evolution from Competition Kangyao Huang, Di Guo, Xinyu Zhang, Xiangyang Ji, Huaping Liu

CVPR 2024 Efficient Multi-Scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu

CVPR 2024 EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

CVPR 2024 GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting Yiwen Chen, Zilong Chen, Chi Zhang, Feng Wang, Xiaofeng Yang, Yikai Wang, Zhongang Cai, Lei Yang, Huaping Liu, Guosheng Lin

CoRL 2024 Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation Chuye Hong, Kangyao Huang, Huaping Liu

AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu

CVPR 2024 Small Scale Data-Free Knowledge Distillation He Liu, Yikai Wang, Huaping Liu, Fuchun Sun, Anbang Yao

CVPR 2024 Text-to-3D Using Gaussian Splatting Zilong Chen, Feng Wang, Yikai Wang, Huaping Liu

ICLR 2024 Vision-Language Foundation Models as Effective Robot Imitators Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong

NeurIPS 2023 Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction Feng Wang, Zilong Chen, Guokang Wang, Yafei Song, Huaping Liu

ICCV 2023 Mixed Neural Voxels for Fast Multi-View Video Synthesis Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, Yafei Song, Huaping Liu

ICLR 2022 Continual Learning with Recursive Gradient Optimization Hao Liu, Huaping Liu

AAAI 2022 Sim2Real Object-Centric Keypoint Detection and Description Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang

CoRL 2021 Embodied Semantic Scene Graph Generation Xinghang Li, Di Guo, Huaping Liu, Fuchun Sun

CoRL 2021 Evaluations of the Gap Between Supervised and Reinforcement Lifelong Learning on Robotic Manipulation Tasks Fan Yang, Chao Yang, Huaping Liu, Fuchun Sun

CVPR 2021 Understanding the Behaviour of Contrastive Loss Feng Wang, Huaping Liu

ICLR 2020 FoveaBox: Beyound Anchor-Based Object Detection Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, Jianbo Shi

ECCV 2020 Multi-Agent Embodied Question Answering in Interactive Environments Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, Fuchun Sun

AAAI 2020 Reinforcement Learning from Imperfect Demonstrations Under Soft Expert Guidance Mingxuan Jing, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Chao Yang, Bin Fang, Huaping Liu

NeurIPS 2020 Unsupervised Representation Learning by Invariance Propagation Feng Wang, Huaping Liu, Di Guo, Sun Fuchun

NeurIPS 2019 Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan

AAAI 2019 Task Transfer by Preference-Based Cost Learning Mingxuan Jing, Xiaojian Ma, Wen-bing Huang, Fuchun Sun, Huaping Liu

ECCV 2018 Deep Feature Pyramid Reconfiguration for Object Detection Tao Kong, Fuchun Sun, Chuanqi Tan, Huaping Liu, Wenbing Huang

CVPR 2017 RON: Reverse Connection with Objectness Prior Networks for Object Detection Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen

IJCAI 2016 Learning Stable Linear Dynamical Systems with the Weighted Least Square Method Wen-bing Huang, Le-le Cao, Fuchun Sun, Deli Zhao, Huaping Liu, Shanshan Yu

CVPR 2016 Sparse Coding and Dictionary Learning with Linear Dynamical Systems Wenbing Huang, Fuchun Sun, Lele Cao, Deli Zhao, Huaping Liu, Mehrtash Harandi

IJCAI 2015 Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun

IJCAI 2015 Scalable Gaussian Process Regression Using Deep Neural Networks Wen-bing Huang, Deli Zhao, Fuchun Sun, Huaping Liu, Edward Y. Chang