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Honglin Chen
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2020 – today
- 2024
- [j15]Yun Zeng
, Honglin Chen
:
An Improved Convolution Neural Network-Based Fast Estimation Method for Construction Project Cost. J. Circuits Syst. Comput. 33(8) (2024) - [j14]Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel L. K. Yamins:
Unsupervised 3D Scene Representation Learning via Movable Object Inference. Trans. Mach. Learn. Res. 2024 (2024) - [c19]Ning An
, Fang Gui
, Yang Liu
, Honglin Chen
, Jiaoyun Yang
:
EasyTell: A Caregiver-Centered Prototype for Innovating Everyday Eldercare through Bite-Sized Digital Storytelling. CHI Extended Abstracts 2024: 115:1-115:8 - [c18]Rahul Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins:
Understanding Physical Dynamics with Counterfactual World Modeling. ECCV (24) 2024: 368-387 - [c17]Yuxin Zhang
, Jun Wu
, Honglin Chen
, Jiajing Xu
, Zhen Huang
:
A lightweight single object tracking algorithm for low-power embedded devices. ICMLC 2024: 642-648 - [c16]Honglin Chen
, Hsueh-Ti Derek Liu
, David I. W. Levin
, Changxi Zheng
, Alec Jacobson
:
Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton. SIGGRAPH (Conference Paper Track) 2024: 90 - [c15]Honglin Chen
, Hsueh-Ti Derek Liu
, Alec Jacobson
, David I. W. Levin
, Changxi Zheng
:
Trust-Region Eigenvalue Filtering for Projected Newton. SIGGRAPH Asia 2024: 120:1-120:10 - [i9]Honglin Chen, Hsueh-Ti Derek Liu, David I. W. Levin, Changxi Zheng, Alec Jacobson:
Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton. CoRR abs/2406.05928 (2024) - [i8]Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin, Changxi Zheng:
Trust-Region Eigenvalue Filtering for Projected Newton. CoRR abs/2410.10102 (2024) - 2023
- [j13]Honglin Chen, Wei Wu, Si Zhang, Chaohong Wu, Ruofei Zhong:
A GNSS/LiDAR/IMU Pose Estimation System Based on Collaborative Fusion of Factor Map and Filtering. Remote. Sens. 15(3): 790 (2023) - [c14]Nengwen Wan, Wenjun Zhang, Tan Li, Meng Chen, Weining Song, Honglin Chen, Jingyu Zhu, Huifeng Cao, Nanjiang Chen, Qi Wang, Yanwen Lin, Runqiang Li:
Research on Data Acquisition and Real-Time Communication for Intelligent Manufacturing Training Equipment Based on Model of Things and Intranet Penetration. AsiaSim (1) 2023: 13-27 - [c13]Zekai Lu, Yaru Li, Siwei Wang, Aoran Wu, Jiaoyun Yang, Honglin Chen, Ning An:
Usability Evaluation of the Aging Scenario Wiki as a Learning Tool. HCI (49) 2023: 100-116 - [c12]Jiaoyun Yang, Jianguang Lin, Fang Gui, Hongdao Meng, Honglin Chen, Ning An:
StoryLens: Personalizing News Recommendations for Older Adults with Their Life Stories. HCI (49) 2023: 246-263 - [c11]Honglin Chen, Rundi Wu
, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen:
Implicit Neural Spatial Representations for Time-dependent PDEs. ICML 2023: 5162-5177 - [c10]Honglin Chen
, Changxi Zheng
, Kevin Wampler
:
Local Deformation for Interactive Shape Editing. SIGGRAPH (Conference Paper Track) 2023: 13:1-13:10 - [i7]Daniel M. Bear, Kevin T. Feigelis, Honglin Chen, Wanhee Lee, Rahul Venkatesh, Klemen Kotar, Alex Durango, Daniel L. K. Yamins:
Unifying (Machine) Vision via Counterfactual World Modeling. CoRR abs/2306.01828 (2023) - [i6]Honglin Chen, Changxi Zheng, Kevin Wampler:
Local Deformation for Interactive Shape Editing. CoRR abs/2306.06550 (2023) - [i5]Rahul Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins:
Counterfactual World Modeling for Physical Dynamics Understanding. CoRR abs/2312.06721 (2023) - 2022
- [j12]Guosheng Yang, Chunting Li
, Honglin Chen:
Research on deep correlation filter tracking based on channel importance. EURASIP J. Adv. Signal Process. 2022(1): 28 (2022) - [j11]Kai Guo
, Hu Ye, Honglin Chen, Xin Gao:
A New Method for Absolute Pose Estimation with Unknown Focal Length and Radial Distortion. Sensors 22(5): 1841 (2022) - [j10]Kai Guo
, Hu Ye, Xin Gao, Honglin Chen:
An Accurate and Robust Method for Absolute Pose Estimation with UAV Using RANSAC. Sensors 22(15): 5925 (2022) - [j9]Kai Guo
, Zhixiang Zhang, Zhongsen Zhang, Ye Tian, Honglin Chen:
Fast and Accurate Pose Estimation with Unknown Focal Length Using Line Correspondences. Sensors 22(21): 8253 (2022) - [c9]Minjun Dai, Yongsheng Li, Yong Wen, Dongyu Liu, Honglin Chen:
Blockchain-Based Social Network Access Control Mechanism. BlockSys 2022: 147-164 - [c8]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. ECCV (29) 2022: 719-735 - [c7]Ning An
, Yang Xu, Qinglin Gao, Wenjie Zhu, Aoran Wu, Honglin Chen:
Automatically Labeling Aging Scenarios with a Machine Learning Approach. HCI (46) 2022: 242-260 - [c6]Yiqing Yuan, Honglin Chen:
Growing as a Caregiver: Delivering Online Support Program for Informal Caregivers of Dementia Patients During the COVID-19 Pandemic. HCI (40) 2022: 453-463 - [i4]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. CoRR abs/2205.08515 (2022) - [i3]Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen:
Implicit Neural Spatial Representations for Time-dependent PDEs. CoRR abs/2210.00124 (2022) - 2021
- [j8]Ty Trusty, Honglin Chen, David I. W. Levin:
The shape matching element method: direct animation of curved surface models. ACM Trans. Graph. 40(4): 69:1-69:14 (2021) - 2020
- [j7]Masaki Nakada
, Tao Zhou, Honglin Chen, Arjun Lakshmipathy, Demetri Terzopoulos:
Deep Learning of Neuromuscular and Visuomotor Control of a Biomimetic Simulated Humanoid. IEEE Robotics Autom. Lett. 5(3): 3952-3959 (2020) - [j6]Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin:
Chordal decomposition for spectral coarsening. ACM Trans. Graph. 39(6): 265:1-265:16 (2020) - [c5]Masaki Nakada, Honglin Chen, Arjun Lakshmipathy, Demetri Terzopoulos:
Locally-Connected, Irregular Deep Neural Networks for Biomimetic Active Vision in a Simulated Human. ICPR 2020: 4465-4472 - [i2]Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson, David I. W. Levin:
Chordal Decomposition for Spectral Coarsening. CoRR abs/2009.02294 (2020)
2010 – 2019
- 2019
- [j5]Honglin Chen, Mingbo Liu
, Ying Cheng, Shunjiang Lin:
Modeling of Unit Commitment With AC Power Flow Constraints Through Semi-Continuous Variables. IEEE Access 7: 52015-52023 (2019) - [j4]Masaki Nakada, Arjun Lakshmipathy, Honglin Chen, Nina Ling, Tao Zhou, Demetri Terzopoulos:
Biomimetic eye modeling & deep neuromuscular oculomotor control. ACM Trans. Graph. 38(6): 221:1-221:14 (2019) - [j3]Zhuoming Deng
, Mingbo Liu
, Honglin Chen, Wentian Lu
, Ping Dong:
Optimal Scheduling of Active Distribution Networks With Limited Switching Operations Using Mixed-Integer Dynamic Optimization. IEEE Trans. Smart Grid 10(4): 4221-4234 (2019) - [c4]Will Xiao, Honglin Chen, Qianli Liao, Tomaso A. Poggio:
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets. ICLR (Poster) 2019 - 2018
- [j2]Wenyuan Li, Igor V. Ovchinnikov, Honglin Chen, Zhe Wang, Albert Lee, Houchul Lee, Carlos Cepeda, Robert N. Schwartz, Karlheinz Meier, Kang L. Wang:
A Basic Phase Diagram of Neuronal Dynamics. Neural Comput. 30(9) (2018) - [j1]Masaki Nakada, Tao Zhou, Honglin Chen, Tomer Weiss, Demetri Terzopoulos:
Deep learning of biomimetic sensorimotor control for biomechanical human animation. ACM Trans. Graph. 37(4): 56 (2018) - [c3]Masaki Nakada, Honglin Chen, Demetri Terzopoulos:
Deep learning of biomimetic visual perception for virtual humans. SAP 2018: 20:1-20:8 - [c2]Masaki Nakada, Honglin Chen, Demetri Terzopoulos:
Learning Biomimetic Perception for Human Sensorimotor Control. CVPR Workshops 2018: 1917-1922 - [c1]Masaki Nakada, Honglin Chen, Demetri Terzopoulos:
Biomimetic Perception Learning for Human Sensorimotor Control. ISVC 2018: 68-78 - [i1]Will Xiao
, Honglin Chen, Qianli Liao, Tomaso A. Poggio:
Biologically-plausible learning algorithms can scale to large datasets. CoRR abs/1811.03567 (2018)
Coauthor Index

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