Hejia Zhang

According to our database, Hejia Zhang authored at least 29 papers between 2015 and 2024.

Collaborative distances:

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

2024

Improving Model Factuality with Fine-grained Critique-based Evaluator.

Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Rosé, Daniel Fried, Hejia Zhang

CoRR, 2024

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang

CoRR, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

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

CoRR, 2024

GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models.

Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita

CoRR, 2024

Effective Long-Context Scaling of Foundation Models.

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Multi-robot geometric task-and-motion planning for collaborative manipulation tasks.

Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis

Auton. Robots, December, 2023

PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection.

Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Surrogate Assisted Generation of Human-Robot Interaction Scenarios.

Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis

Proceedings of the Conference on Robot Learning, 2023

2022

FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy.

Wenxing Hong, Hejia Zhang, Jiacheng Zhu

Proceedings of the Computer Science and Education - 17th International Conference, 2022

A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning.

Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

A Survey on Blockchain Application: a Data Collaboration Perspective.

Wenxing Hong, Jinjie You, Hejia Zhang

Proceedings of the 16th International Conference on Computer Science & Education, 2021

2020

An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs.

Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen

IEEE Trans. Very Large Scale Integr. Syst., 2020

BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.

Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman

PLoS Comput. Biol., 2020

Scaling simulation-to-real transfer by learning a latent space of robot skills.

Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman

Int. J. Robotics Res., 2020

Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis.

Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu

CoRR, 2020

Video Game Level Repair via Mixed Integer Linear Programming.

Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019

Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos.

Hejia Zhang, Stefanos Nikolaidis

CoRR, 2019

Interactive Differentiable Simulation.

Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme

CoRR, 2019

System Design of Extreme Multi-label Query Classification using a Hybrid Model.

Xianjing Liu, Hejia Zhang, Mingkuan Liu, Alan Lu

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Learning Collaborative Action Plans from YouTube Videos.

Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis

Proceedings of the Robotics Research, 2019

Multitask Metric Learning: Theory and Algorithm.

Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.

Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman

CoRR, 2018

Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation.

Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme

CoRR, 2018

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.

Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Transfer Learning on fMRI Datasets.

Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Segmenting Brain Tumors with Symmetry.

Hejia Zhang, Xia Zhu, Theodore L. Willke

CoRR, 2017

2016

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis.

Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge

CoRR, 2016

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation.

Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge

CoRR, 2016

2015

Scale- and orientation-invariant keypoints in higher-dimensional data.

Blaine Rister, Daniel Reiter, Hejia Zhang, Daniel Volz, Mark Horowitz, Refaat E. Gabr, Joseph R. Cavallaro

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015