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2020 – today
- 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 A. 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 A. 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 A. 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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