Hejia Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 33

Top Topics

Top Venues

Publications

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)
Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita
GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR (2024)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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) (2023)
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 (2022)
Wenxing Hong, Hejia Zhang, Jiacheng Zhu
FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy. ICCSE (1) (2022)
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)
Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. CoRR (2022)
Wenxing Hong, Jinjie You, Hejia Zhang
A Survey on Blockchain Application: a Data Collaboration Perspective. ICCSE (2021)
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)
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)
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) (2020)
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
Video Game Level Repair via Mixed Integer Linear Programming. CoRR (2020)
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 (2020)
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)
Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR (2020)
Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau
Multitask Metric Learning: Theory and Algorithm. AISTATS (2019)
Xianjing Liu, Hejia Zhang, Mingkuan Liu, Alan Lu
System Design of Extreme Multi-label Query Classification using a Hybrid Model. eCOM@SIGIR (2019)
Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis
Learning Collaborative Action Plans from YouTube Videos. ISRR (2019)
Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme
Interactive Differentiable Simulation. CoRR (2019)
Hejia Zhang, Stefanos Nikolaidis
Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos. CoRR (2019)
Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge
Transfer Learning on fMRI Datasets. AISTATS (2018)
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 (2018)
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)
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 (2018)
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 (2018)
Hejia Zhang, Xia Zhu, Theodore L. Willke
Segmenting Brain Tumors with Symmetry. CoRR (2017)
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 (2016)
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 (2016)
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)