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Hejia Zhang
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Journal Articles
- 2023
- [j4]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis:
Multi-robot geometric task-and-motion planning for collaborative manipulation tasks. Auton. Robots 47(8): 1537-1558 (2023) - 2020
- [j3]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. 39(10-11) (2020) - [j2]Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman:
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. 16(1) (2020) - [j1]Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen:
An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 28(9): 1953-1965 (2020)
Conference and Workshop Papers
- 2024
- [c13]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. NAACL-HLT 2024: 4643-4663 - 2023
- [c12]Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis:
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRL 2023: 513-539 - [c11]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. Robotics: Science and Systems 2023 - 2022
- [c10]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis:
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CASE 2022: 2102-2109 - [c9]Wenxing Hong, Hejia Zhang, Jiacheng Zhu:
FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy. ICCSE (1) 2022: 581-594 - 2021
- [c8]Wenxing Hong, Jinjie You, Hejia Zhang:
A Survey on Blockchain Application: a Data Collaboration Perspective. ICCSE 2021: 125-132 - 2020
- [c7]Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis:
Video Game Level Repair via Mixed Integer Linear Programming. AIIDE 2020: 151-158 - 2019
- [c6]Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau:
Multitask Metric Learning: Theory and Algorithm. AISTATS 2019: 3362-3371 - [c5]Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis:
Learning Collaborative Action Plans from YouTube Videos. ISRR 2019: 208-223 - [c4]Xianjing Liu, Hejia Zhang, Mingkuan Liu, Alan Lu:
System Design of Extreme Multi-label Query Classification using a Hybrid Model. eCOM@SIGIR 2019 - 2018
- [c3]Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge:
Transfer Learning on fMRI Datasets. AISTATS 2018: 595-603 - [c2]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER 2018: 267-279 - 2015
- [c1]Blaine Rister, Daniel Reiter, Hejia Zhang, Daniel Volz, Mark Horowitz, Refaat E. Gabr, Joseph R. Cavallaro:
Scale- and orientation-invariant keypoints in higher-dimensional data. ICIP 2015: 3490-3494
Informal and Other Publications
- 2024
- [i18]Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita:
GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR abs/2406.09640 (2024) - [i17]Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang:
The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR abs/2409.20370 (2024) - 2023
- [i16]Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis:
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRR abs/2304.13787 (2023) - [i15]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. CoRR abs/2309.16039 (2023) - [i14]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis:
Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks. CoRR abs/2310.08802 (2023) - 2022
- [i13]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis:
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CoRR abs/2210.08005 (2022) - [i12]Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis:
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. CoRR abs/2212.04708 (2022) - 2020
- [i11]Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen:
An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs. CoRR abs/2001.01955 (2020) - [i10]Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu:
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR abs/2005.04879 (2020) - [i9]Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis:
Video Game Level Repair via Mixed Integer Linear Programming. CoRR abs/2010.06627 (2020) - 2019
- [i8]Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme:
Interactive Differentiable Simulation. CoRR abs/1905.10706 (2019) - [i7]Hejia Zhang, Stefanos Nikolaidis:
Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos. CoRR abs/1911.10686 (2019) - 2018
- [i6]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. CoRR abs/1809.10253 (2018) - [i5]Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR abs/1810.00146 (2018) - [i4]Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR abs/1810.02422 (2018) - 2017
- [i3]Hejia Zhang, Xia Zhu, Theodore L. Willke:
Segmenting Brain Tumors with Symmetry. CoRR abs/1711.06636 (2017) - 2016
- [i2]Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge:
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation. CoRR abs/1608.04846 (2016) - [i1]Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge:
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis. CoRR abs/1609.09432 (2016)
Coauthor Index
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