Hejia Zhang - RankMe

42 papers A 2B 1C 1Misc 1Journal 28Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design. CoRR Zhongkai Yu, Chenyang Zhou, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding
2025	J	`jnl`	AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. CoRR Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Awadalla, Manaal Faruqui
2025	J	`jnl`	Dual-Weighted Reinforcement Learning for Generative Preference Modeling. CoRR Shengyu Feng, Yun He, Shuang Ma, Beibin Li, Yuanhao Xiong, Songlin Li, Karishma Mandyam, Julian Katz-Samuels, Shengjie Bi, Licheng Yu, Hejia Zhang, Karthik Abinav Sankararaman, Han Fang, Riham Mansour, Yiming Yang, Manaal Faruqui
2025	—	`conf`	Improving Model Factuality with Fine-grained Critique-based Evaluator. ACL (1) 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
2025	J	`jnl`	ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation. CoRR Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita
2024	—	`conf`	Effective Long-Context Scaling of Foundation Models. NAACL-HLT 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
2024	J	`jnl`	GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita
2024	J	`jnl`	Improving Model Factuality with Fine-grained Critique-based Evaluator. CoRR 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
2024	J	`jnl`	Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR 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
2024	J	`jnl`	The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR 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
2023	J	`jnl`	Effective Long-Context Scaling of Foundation Models. CoRR 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
2023	J	`jnl`	Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks. CoRR Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis
2023	J	`jnl`	Multi-robot geometric task-and-motion planning for collaborative manipulation tasks. Auton. Robots Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis
2023	—	`conf`	PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. Robotics: Science and Systems Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis
2023	Misc	`conf`	Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRL Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
2023	J	`jnl`	Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRR Varun Bhatt, Heramb Nemlekar, Matthew C. Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis
2022	—	`conf`	A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CASE Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis
2022	J	`jnl`	A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CoRR Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis
2022	—	`conf`	FedHD: A Privacy-Preserving Recommendation System with Homomorphic Encryption and Differential Privacy. ICCSE (1) Wenxing Hong, Hejia Zhang, Jiacheng Zhu
2022	J	`jnl`	PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection. CoRR Shivin Dass, Karl Pertsch, Hejia Zhang, Youngwoon Lee, Joseph J. Lim, Stefanos Nikolaidis
2021	—	`conf`	A Survey on Blockchain Application: a Data Collaboration Perspective. ICCSE Wenxing Hong, Jinjie You, Hejia Zhang
2020	J	`jnl`	An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs. CoRR Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen
2020	J	`jnl`	An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. Chaoyang Zhu, Kejie Huang, Shuyuan Yang, Ziqi Zhu, Hejia Zhang, Haibin Shen
2020	J	`jnl`	BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman
2020	J	`jnl`	Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. CoRR Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
2020	J	`jnl`	Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2020	—	`conf`	Video Game Level Repair via Mixed Integer Linear Programming. AIIDE Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
2020	J	`jnl`	Video Game Level Repair via Mixed Integer Linear Programming. CoRR Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
2019	J	`jnl`	Interactive Differentiable Simulation. CoRR Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme
2019	C	`conf`	Learning Collaborative Action Plans from YouTube Videos. ISRR Hejia Zhang, Po-Jen Lai, Sayan Paul, Suraj Kothawade, Stefanos Nikolaidis
2019	A	`conf`	Multitask Metric Learning: Theory and Algorithm. AISTATS Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joelle Pineau
2019	J	`jnl`	Robot Learning and Execution of Collaborative Manipulation Plans from YouTube Videos. CoRR Hejia Zhang, Stefanos Nikolaidis
2019	—	`conf`	System Design of Extreme Multi-label Query Classification using a Hybrid Model. eCOM@SIGIR Xianjing Liu, Hejia Zhang, Mingkuan Liu, Alan Lu
2018	J	`jnl`	Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme
2018	—	`conf`	Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2018	J	`jnl`	Scaling simulation-to-real transfer by learning composable robot skills. CoRR Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2018	A	`conf`	Transfer Learning on fMRI Datasets. AISTATS Hejia Zhang, Po-Hsuan Chen, Peter J. Ramadge
2018	J	`jnl`	Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman
2017	J	`jnl`	Segmenting Brain Tumors with Symmetry. CoRR Hejia Zhang, Xia Zhu, Theodore L. Willke
2016	J	`jnl`	A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation. CoRR Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge
2016	J	`jnl`	A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis. CoRR Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge
2015	B	`conf`	Scale- and orientation-invariant keypoints in higher-dimensional data. ICIP Blaine Rister, Daniel Reiter, Hejia Zhang, Daniel Volz, Mark Horowitz, Refaat E. Gabr, Joseph R. Cavallaro