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ORCIDRuohan Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j12]Dan Wang
, Licheng Jiao, Ruohan Zhang, Shuyuan Yang, Fang Liu:
Token singularity understanding and removal for transformers. Knowl. Based Syst. 293: 111718 (2024)- [j11]Ruohan Zhang, Licheng Jiao, Lingling Li, Fang Liu, Xu Liu, Shuyuan Yang:
Evolutionary Dual-Stream Transformer. IEEE Trans. Cybern. 54(4): 2166-2178 (2024) - [j10]Ruohan Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang:
A Quantum Evolutionary Learning Tracker for Video. IEEE Trans. Evol. Comput. 28(2): 418-431 (2024) - [j9]Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Chunyang Wang, Ke Wang, Jiadi Yu:
Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. ACM Trans. Inf. Syst. 42(3): 76:1-76:30 (2024) - [j8]Tianzi Zang, Yanmin Zhu, Ruohan Zhang, Jing Zhu, Feilong Tang:
Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation. World Wide Web (WWW) 27(6): 73 (2024) - [c34]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c33]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 2024: 22401-22412 - [c32]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i27]Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, C. Karen Liu:
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation. CoRR abs/2403.07788 (2024) - [i26]Shivin Dass, Wensi Ai, Yuqian Jiang, Samik Singh, Jiaheng Hu, Ruohan Zhang, Peter Stone, Ben Abbatematteo, Roberto Martín-Martín:
TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. CoRR abs/2403.07869 (2024) - [i25]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Wensi Ai, Benjamin Jose Martinez, Hang Yin, Michael Lingelbach, Minjune Hwang, Ayano Hiranaka, Sujay Garlanka, Arman Aydin, Sharon Lee, Jiankai Sun, Mona Anvari, Manasi Sharma, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Yunzhu Li, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. CoRR abs/2403.09227 (2024) - [i24]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR abs/2405.09546 (2024) - [i23]Yunfan Jiang, Chen Wang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei:
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. CoRR abs/2405.10315 (2024) - [i22]Zhuang Qi, Lei Meng, Weihao He, Ruohan Zhang, Yu Wang, Xin Qi, Xiangxu Meng:
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning. CoRR abs/2405.20046 (2024) - [i21]Wenlong Huang, Chen Wang, Yunzhu Li, Ruohan Zhang, Li Fei-Fei:
ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. CoRR abs/2409.01652 (2024) - [i20]Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg:
MARPLE: A Benchmark for Long-Horizon Inference. CoRR abs/2410.01926 (2024) - [i19]Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu:
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making. CoRR abs/2410.07166 (2024) - [i18]Tianyuan Dai, Josiah Wong, Yunfan Jiang, Chen Wang, Cem Gokmen, Ruohan Zhang, Jiajun Wu, Li Fei-Fei:
Automated Creation of Digital Cousins for Robust Policy Learning. CoRR abs/2410.07408 (2024) - 2023
- [j7]Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. ACM Trans. Inf. Syst. 41(2): 42:1-42:39 (2023) - [c31]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. AAMAS 2023: 2851-2853 - [c30]Wensi Ai, Sharon Lee, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Quantifying the Effect of Visual Impairments on Daily Activities in Virtual, Interactive Environments. CogSci 2023 - [c29]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRL 2023: 201-221 - [c28]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRL 2023: 540-562 - [c27]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRL 2023: 1737-1760 - [c26]Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu:
Disentangled Contrastive Learning for Cross-Domain Recommendation. DASFAA (2) 2023: 163-178 - [c25]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. ICML 2023: 17976-17993 - [c24]Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
Task-Driven Graph Attention for Hierarchical Relational Object Navigation. ICRA 2023: 886-893 - [c23]Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Primitive Skill-Based Robot Learning from Human Evaluative Feedback. IROS 2023: 7817-7824 - [i17]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRR abs/2302.12422 (2023) - [i16]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i15]Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese, Roberto Martín-Martín:
Modeling Dynamic Environments with Scene Graph Memory. CoRR abs/2305.17537 (2023) - [i14]Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
Task-Driven Graph Attention for Hierarchical Relational Object Navigation. CoRR abs/2306.13760 (2023) - [i13]Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei:
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. CoRR abs/2307.05973 (2023) - [i12]Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang:
Primitive Skill-based Robot Learning from Human Evaluative Feedback. CoRR abs/2307.15801 (2023) - [i11]Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín:
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI. CoRR abs/2310.01824 (2023) - [i10]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRR abs/2311.01454 (2023) - 2022
- [j6]Licheng Jiao, Ruohan Zhang, Fang Liu, Shuyuan Yang, Biao Hou, Lingling Li, Xu Tang:
New Generation Deep Learning for Video Object Detection: A Survey. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3195-3215 (2022) - [c22]Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, C. Karen Liu, Jiajun Wu, Li Fei-Fei:
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL 2022: 80-93 - [c21]Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu:
A Dual Representation Framework for Robot Learning with Human Guidance. CoRL 2022: 738-750 - [c20]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. NeurIPS 2022 - [i9]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. CoRR abs/2208.10660 (2022) - 2021
- [j5]Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone:
Recent advances in leveraging human guidance for sequential decision-making tasks. Auton. Agents Multi Agent Syst. 35(2): 31 (2021) - [j4]Dana H. Ballard, Ruohan Zhang:
The Hierarchical Evolution in Human Vision Modeling. Top. Cogn. Sci. 13(2): 309-328 (2021) - [c19]Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum:
Efficiently Guiding Imitation Learning Agents with Human Gaze. AAMAS 2021: 1109-1117 - [c18]Lin Guan, Mudit Verma, Sihang Guo, Ruohan Zhang, Subbarao Kambhampati:
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. NeurIPS 2021: 21885-21897 - [c17]Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Dana H. Ballard, Mary M. Hayhoe, Peter Stone:
Machine versus Human Attention in Deep Reinforcement Learning Tasks. NeurIPS 2021: 25370-25385 - [i8]Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone:
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks. CoRR abs/2107.05825 (2021) - [i7]Tianzi Zang, Yanmin Zhu, Haobing Liu, Ruohan Zhang, Jiadi Yu:
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. CoRR abs/2108.03357 (2021) - 2020
- [j3]Ruohan Zhang, Dana H. Ballard:
Parallel Neural Multiprocessing with Gamma Frequency Latencies. Neural Comput. 32(9): 1635-1663 (2020) - [c16]Ruohan Zhang, Calen Walshe, Zhuode Liu, Lin Guan, Karl S. Muller, Jake Alden Whritner, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. AAAI 2020: 6811-6820 - [c15]Ruohan Zhang, Akanksha Saran, Bo Liu, Yifeng Zhu, Sihang Guo, Scott Niekum, Dana H. Ballard, Mary M. Hayhoe:
Human Gaze Assisted Artificial Intelligence: A Review. IJCAI 2020: 4951-4958 - [i6]Akanksha Saran, Ruohan Zhang, Elaine Schaertl Short, Scott Niekum:
Efficiently Guiding Imitation Learning Algorithms with Human Gaze. CoRR abs/2002.12500 (2020) - [i5]Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary M. Hayhoe, Dana H. Ballard, Peter Stone:
Human versus Machine Attention in Deep Reinforcement Learning Tasks. CoRR abs/2010.15942 (2020)
2010 – 2019
- 2019
- [c14]Ruohan Zhang:
Attention Guided Imitation Learning and Reinforcement Learning. AAAI 2019: 9906-9907 - [c13]Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhen-Hua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang:
VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. ICCV Workshops 2019: 199-212 - [c12]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c11]Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. IJCAI 2019: 6339-6346 - [i4]Ruohan Zhang, Zhuode Liu, Lin Guan, Luxin Zhang, Mary M. Hayhoe, Dana H. Ballard:
Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. CoRR abs/1903.06754 (2019) - [i3]Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone:
Leveraging Human Guidance for Deep Reinforcement Learning Tasks. CoRR abs/1909.09906 (2019) - 2018
- [j2]Ruohan Zhang, Shun Zhang, Matthew H. Tong, Yuchen Cui, Constantin A. Rothkopf, Dana H. Ballard, Mary M. Hayhoe:
Modeling sensory-motor decisions in natural behavior. PLoS Comput. Biol. 14(10) (2018) - [c10]Luxin Zhang, Ruohan Zhang, Zhuode Liu, Mary M. Hayhoe, Dana H. Ballard:
Learning Attention Model From Human for Visuomotor Tasks. AAAI 2018: 8181-8182 - [c9]Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl S. Muller, Mary M. Hayhoe, Dana H. Ballard:
AGIL: Learning Attention from Human for Visuomotor Tasks. ECCV (11) 2018: 692-707 - [c8]Sebastian Junges, Nils Jansen, Joost-Pieter Katoen, Ufuk Topcu, Ruohan Zhang, Mary M. Hayhoe:
Model Checking for Safe Navigation Among Humans. QEST 2018: 207-222 - [i2]Ruohan Zhang, Zhuode Liu, Luxin Zhang, Jake Alden Whritner, Karl S. Muller, Mary M. Hayhoe, Dana H. Ballard:
AGIL: Learning Attention from Human for Visuomotor Tasks. CoRR abs/1806.03960 (2018) - [i1]Liu Yuezhang, Ruohan Zhang, Dana H. Ballard:
An Initial Attempt of Combining Visual Selective Attention with Deep Reinforcement Learning. CoRR abs/1811.04407 (2018) - 2017
- [c7]Xiaoyu Zeng, Ruohan Zhang:
Participatory Art Museum: Collecting and Modeling Crowd Opinions. AAAI 2017: 5017-5018 - [c6]Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang, Qixing Huang, Pradeep Ravikumar, Inderjit S. Dhillon:
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain. AISTATS 2017: 1550-1559 - [c5]Jacob Menashe, Josh Kelle, Katie Genter, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone:
Fast and Precise Black and White Ball Detection for RoboCup Soccer. RoboCup 2017: 45-58 - 2016
- [j1]Katie Genter, Patrick MacAlpine, Jacob Menashe, Josiah Hanna, Elad Liebman, Sanmit Narvekar, Ruohan Zhang, Peter Stone:
UT Austin Villa: Project-Driven Research in AI and Robotics. IEEE Intell. Syst. 31(2): 94-101 (2016) - [c4]Ruohan Zhang, Yue Yu, Mahmoud El Chamie, Behçet Açikmese, Dana H. Ballard:
Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints. IJCAI 2016: 546-553 - [c3]Ruohan Zhang, Zhao Song:
Maximum Sustainable Yield Problem for Robot Foraging and Construction System. IJCAI 2016: 2725-2731 - [c2]Ian En-Hsu Yen, Xiangru Huang, Kai Zhong, Ruohan Zhang, Pradeep Ravikumar, Inderjit S. Dhillon:
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain. NIPS 2016: 5024-5032 - 2015
- [c1]Ruohan Zhang, Zhao Song, Dana H. Ballard:
Global Policy Construction in Modular Reinforcement Learning. AAAI 2015: 4226-4227
Coauthor Index
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