Haojie Huang

According to our database, Haojie Huang authored at least 45 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization.

Boce Hu, Heng Tian, Dian Wang, Haojie Huang, Xupeng Zhu, Robin Walters, Robert Platt

IEEE Robotics Autom. Lett., November, 2025

Clebsch-Gordan Transformer: Fast and Global Equivariant Attention.

Owen Howell, Linfeng Zhao, Xupeng Zhu, Yaoyao Qian, Haojie Huang, Lingfeng Sun, Wil Thomason, Robert Platt, Robin Walters

CoRR, September, 2025

Learning Efficient and Robust Language-Conditioned Manipulation Using Textual-Visual Relevancy and Equivariant Language Mapping.

Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex

IEEE Robotics Autom. Lett., August, 2025

Equivariant Goal Conditioned Contrastive Reinforcement Learning.

Arsh Tangri, Nichols Crawford Taylor, Haojie Huang, Robert Platt

CoRR, July, 2025

3D Equivariant Visuomotor Policy Learning via Spherical Projection.

Boce Hu, Dian Wang, David Klee, Heng Tian, Xupeng Zhu, Haojie Huang, Robert Platt, Robin Walters

CoRR, May, 2025

Coarse-to-Fine 3D Keyframe Transporter.

Xupeng Zhu, David Klee, Dian Wang, Boce Hu, Haojie Huang, Arsh Tangri, Robin Walters, Robert Platt

CoRR, February, 2025

Domain perceptive-pruning and fine-tuning the pre-trained model for heterogeneous transfer learning in cross domain prediction.

Dan Yang, Xin Peng, Xiaolong Wu, Haojie Huang, Linlin Li, Weimin Zhong

Expert Syst. Appl., 2025

Match Policy: A Simple Pipeline from Point Cloud Registration to Manipulation Policies.

Haojie Huang, Haotian Liu, Dian Wang, Robin Walters, Robert Platt

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators.

Cheng Su, Xin Peng, Dan Yang, Renzhi Lu, Haojie Huang, Weimin Zhong

IEEE Trans. Instrum. Meas., 2024

Robust Sparse Gaussian Process Regression for Soft Sensing in Industrial Big Data Under the Outlier Condition.

Haojie Huang, Xin Peng, Wei Du, Weimin Zhong

IEEE Trans. Instrum. Meas., 2024

EPSViTs: A hybrid architecture for image classification based on parameter-shared multi-head self-attention.

Huixian Liao, Xiaosen Li, Xiao Qin, Wenji Wang, Guodui He, Haojie Huang, Xu Guo, Xin Chun, Jinyong Zhang, Yunqin Fu, Zhengyou Qin

Image Vis. Comput., 2024

Leveraging symmetries in pick and place.

Haojie Huang, Dian Wang, Arsh Tangri, Robin Walters, Robert Platt

Int. J. Robotics Res., 2024

Leverage Task Context for Object Affordance Ranking.

Haojie Huang, Hongchen Luo, Wei Zhai, Yang Cao, Zheng-Jun Zha

CoRR, 2024

Open-vocabulary Pick and Place via Patch-level Semantic Maps.

Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex

CoRR, 2024

Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D.

Haojie Huang, Owen Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter.

Yaoyao Qian, Xupeng Zhu, Ondrej Biza, Shuo Jiang, Linfeng Zhao, Haojie Huang, Yu Qi, Robert Platt

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies.

Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

OrbitGrasp: SE(3)-Equivariant Grasp Learning.

Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Equivariant Diffusion Policy.

Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Nitrogen Oxides Concentration Estimation of Diesel Engines Based on a Sparse Nonstationary Trigonometric Gaussian Process Regression With Maximizing the Composite Likelihood.

Haojie Huang, Xin Peng, Wei Du, Steven X. Ding, Weimin Zhong

IEEE Trans. Ind. Electron., November, 2023

Teacher-Student Uncertainty Autoencoder for the Process-Relevant and Quality-Relevant Fault Detection in the Industrial Process.

Dan Yang, Xin Peng, Yusheng Lu, Haojie Huang, Weimin Zhong

IEEE Trans. Artif. Intell., 2023

Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection.

Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images.

Jia Wu, Pei Xiao, Haojie Huang, Fangfang Gou, Zhixun Zhou, Zhehao Dai

IEEE J. Biomed. Health Informatics, 2022

Contrastive learning-based computational histopathology predict differential expression of cancer driver genes.

Haojie Huang, Gongming Zhou, Xuejun Liu, Lei Deng, Chen Wu, Dachuan Zhang, Hui Liu

Briefings Bioinform., 2022

Equivariant Transporter Network.

Haojie Huang, Dian Wang, Robin Walters, Robert Platt

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Sentence level relation extraction via relation embedding.

Haojie Huang

PhD thesis, 2021

Gaussian Process Regression With Maximizing the Composite Conditional Likelihood.

Haojie Huang, Zhongmei Li, Xin Peng, Steven X. Ding, Weimin Zhong

IEEE Trans. Instrum. Meas., 2021

A Sparse Nonstationary Trigonometric Gaussian Process Regression and Its Application on Nitrogen Oxide Prediction of the Diesel Engine.

Haojie Huang, Yedong Song, Xin Peng, Steven X. Ding, Weimin Zhong, Wei Du

IEEE Trans. Ind. Informatics, 2021

Representation Evaluation Block-based Teacher-Student Network for the Industrial Quality-relevant Performance Modeling and Monitoring.

Dan Yang, Xin Peng, Yusheng Lu, Haojie Huang, Weimin Zhong

CoRR, 2021

Attention-based Seq2seq Regularisation for Relation Extraction.

Haojie Huang, Raymond K. Wong

Proceedings of the International Joint Conference on Neural Networks, 2021

BiLSTM Embedding Pretraining for Relation Extraction.

Haojie Huang, Raymond K. Wong

Proceedings of the International Joint Conference on Neural Networks, 2021

GASCN: Graph Attention Shape Completion Network.

Haojie Huang, Ziyi Yang, Robert Platt

Proceedings of the International Conference on 3D Vision, 2021

2020

Deep Embedding for Relation Extraction on Insufficient Labelled Data.

Haojie Huang, Raymond K. Wong

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Detection of Micro-Defects on Irregular Reflective Surfaces Based on Improved Faster R-CNN.

Zhuangzhuang Zhou, Qinghua Lu, Zhifeng Wang, Haojie Huang

Sensors, 2019

Optimized Sequence Prediction of Risk Data for Financial Institutions.

Ka Yee Wong, Raymond K. Wong, Haojie Huang

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Learning Data Quality Analytics for Financial Services.

Ka Yee Wong, Haojie Huang, Raymond K. Wong

Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

A Robust Green Grape Image Segmentation Algorithm Against Varying Illumination Conditions.

Haojie Huang, Qinghua Lu, Lufeng Luo, Zhuangzhuang Zhou, Zongjie Lin

Proceedings of the Artificial Intelligence Algorithms and Applications, 2019

Weakly-Supervised Relation Extraction in Legal Knowledge Bases.

Haojie Huang, Raymond K. Wong, Baoxiang Du, Hae Jin Han

Proceedings of the Digital Libraries at the Crossroads of Digital Information for the Future, 2019

Reducing Feature Embedding Data for Discovering Relations in Big Text Data.

Haojie Huang, Raymond K. Wong

Proceedings of the 2019 IEEE International Congress on Big Data, 2019

Web Service based Intelligent Search on Legal Documents.

Haojie Huang, Raymond K. Wong

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Collision-Free Path-Planning for Six-DOF Serial Harvesting Robot Based on Energy Optimal and Artificial Potential Field.

Lufeng Luo, Hanjin Wen, Qinghua Lu, Haojie Huang, Weilin Chen, Xiangjun Zou, Chenglin Wang

Complex., 2018

The Construction Approach of Statutes Database.

Linxia Yao, Haojie Huang, Jidong Ge, Simeng Zhao, Peitang Ling, Ting Lei, Mengting He, Bin Luo

Proceedings of the Data Science, 2018

2017

Bubble profile reconstruction with miniaturized sensors in a microchannel.

Haojie Huang, Vijay K. Dhir, Liang-ming Pan

Proceedings of the 12th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2017

2016

Measure transcript integrity using RNA-seq data.

Liguo Wang, Jinfu J. Nie, Hugues Sicotte, Ying Li, Jeanette E. Eckel-Passow, Surendra Dasari, Peter T. Vedell, Poulami Barman, Liewei Wang, Richard Weinshiboum, Jin Jen, Haojie Huang, Manish Kohli, Jean-Pierre A. Kocher

BMC Bioinform., 2016

2014

CrossMap: a versatile tool for coordinate conversion between genome assemblies.

Hao Zhao, Zhifu Sun, Jing Wang, Haojie Huang, Jean-Pierre A. Kocher, Liguo Wang

Bioinform., 2014