Haonan Chang

According to our database, Haonan Chang authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

Autoregressive Action Sequence Learning for Robotic Manipulation.

Xinyu Zhang, Yuhan Liu, Haonan Chang, Liam Schramm, Abdeslam Boularias

CoRR, 2024

UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models.

Qiaojun Yu, Siyuan Huang, Xibin Yuan, Zhengkai Jiang, Ce Hao, Xin Li, Haonan Chang, Junbo Wang, Liu Liu, Hongsheng Li, Peng Gao, Cewu Lu

CoRR, 2024

DAP: Diffusion-based Affordance Prediction for Multi-modality Storage.

Haonan Chang, Kowndinya Boyalakuntla, Yuhan Liu, Xinyu Zhang, Liam Schramm, Abdeslam Boularias

CoRR, 2024

Scaling Manipulation Learning with Visual Kinematic Chain Prediction.

Xinyu Zhang, Yuhan Liu, Haonan Chang, Abdeslam Boularias

CoRR, 2024

A3VLM: Actionable Articulation-Aware Vision Language Model.

Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Peng Gao, Abdeslam Boularias, Hongsheng Li

CoRR, 2024

2023

LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement.

Haonan Chang, Kai Gao, Kowndinya Boyalakuntla, Alex Lee, Baichuan Huang, Harish Udhaya Kumar, Jinjin Yu, Abdeslam Boularias

CoRR, 2023

Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction.

Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias

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

OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data.

Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas E. Bekris

Proceedings of the Conference on Robot Learning, 2023

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs.

Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias

Proceedings of the Conference on Robot Learning, 2023

Automatic Modulation Classification of Frequency-Hopping Signals Using High-Dimensional Phase Diagrams.

Qibo Chen, Kun Yan, Hsiao-Chun Wu, Shih Yu Chang, Xiao Yan, Yiyan Wu, Haonan Chang

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2023

2022

Scene-level Tracking and Reconstruction without Object Priors.

Haonan Chang, Abdeslam Boularias

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020

GeoFusion: Geometric Consistency Informed Scene Estimation in Dense Clutter.

Zhiqiang Sui, Haonan Chang, Ning Xu, Odest Chadwicke Jenkins

IEEE Robotics Autom. Lett., 2020

Cascade Attribute Network: Decomposing Reinforcement Learning Control Policies using Hierarchical Neural Networks.

Haonan Chang, Zhuo Xu, Masayoshi Tomizuka

CoRR, 2020

2019

Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks.

Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

GlassLoc: Plenoptic Grasp Pose Detection in Transparent Clutter.

Zheming Zhou, Tianyang Pan, Shiyu Wu, Haonan Chang, Odest Chadwicke Jenkins

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Neural-Network Feedforward Compensation for Precision Contouring Control of Multi-Axis Motion Systems.

Chuxiong Hu, Tiansheng Ou, Haonan Chang, Yu Zhu, Ze Wang

Proceedings of the IEEE International Conference on Information and Automation, 2018

Precision Tracking Motion Control Using Deep GRU Network.

Haonan Chang, Chuxiong Hu, Ze Wang, Yu Zhu

Proceedings of the IEEE International Conference on Information and Automation, 2018

2017

Cascade Attribute Learning Network.

Zhuo Xu, Haonan Chang, Masayoshi Tomizuka

CoRR, 2017