Global Policy Construction in Modular Reinforcement Learning. - Ruohan Zhang; Zhao Song 002; Dana H. Ballard (AAAI, 2015)

Maximum Sustainable Yield Problem for Robot Foraging and Construction System. - Ruohan Zhang; Zhao Song 002 (IJCAI, 2016)

Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints. - Ruohan Zhang; Yue Yu 004; Mahmoud El Chamie; Behçet Açikmese; Dana H. Ballard (IJCAI, 2016)

Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain. - Ian En-Hsu Yen; Xiangru Huang; Kai Zhong; Ruohan Zhang; Pradeep Ravikumar; Inderjit S. Dhillon (NIPS, 2016)

UT Austin Villa: Project-Driven Research in AI and Robotics. - Katie Genter; Patrick MacAlpine; Jacob Menashe; Josiah Hanna; Elad Liebman; Sanmit Narvekar; Ruohan Zhang; Peter Stone 001 (IEEE Intell. Syst., 2016)

Participatory Art Museum: Collecting and Modeling Crowd Opinions. - Xiaoyu Zeng; Ruohan Zhang (AAAI, 2017)

Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain. - Xiangru Huang; Ian En-Hsu Yen; Ruohan Zhang; Qixing Huang; Pradeep Ravikumar; Inderjit S. Dhillon (AISTATS, 2017)

Fast and Precise Black and White Ball Detection for RoboCup Soccer. - Jacob Menashe; Josh Kelle; Katie Genter; Josiah Hanna; Elad Liebman; Sanmit Narvekar; Ruohan Zhang; Peter Stone 001 (RoboCup, 2017)

Learning Attention Model From Human for Visuomotor Tasks. - Luxin Zhang; Ruohan Zhang; Zhuode Liu; Mary M. Hayhoe; Dana H. Ballard (AAAI, 2018)

AGIL: Learning Attention from Human for Visuomotor Tasks. - Ruohan Zhang; Zhuode Liu; Luxin Zhang; Jake Alden Whritner; Karl S. Muller; Mary M. Hayhoe; Dana H. Ballard (ECCV (11), 2018)

Model Checking for Safe Navigation Among Humans. - Sebastian Junges; Nils Jansen 001; Joost-Pieter Katoen; Ufuk Topcu; Ruohan Zhang; Mary M. Hayhoe (QEST, 2018)

An Initial Attempt of Combining Visual Selective Attention with Deep Reinforcement Learning. - Liu Yuezhang; Ruohan Zhang; Dana H. Ballard (CoRR, 2018)

Modeling sensory-motor decisions in natural behavior. - Ruohan Zhang; Shun Zhang; Matthew H. Tong; Yuchen Cui; Constantin A. Rothkopf; Dana H. Ballard; Mary M. Hayhoe (PLoS Comput. Biol., 2018)

Attention Guided Imitation Learning and Reinforcement Learning. - Ruohan Zhang (AAAI, 2019)

VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results. - Dawei Du; Yue Zhang 011; Liefeng Bo; Hailin Shi; Rui Zhu 005; Bo Han 003; Chunhui Zhang; Guizhong Liu; Han Wu; Hao Wen; Haoran Wang 008; Pengfei Zhu 001; et al. (ICCV Workshops, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Leveraging Human Guidance for Deep Reinforcement Learning Tasks. - Ruohan Zhang; Faraz Torabi; Lin Guan 003; Dana H. Ballard; Peter Stone 001 (IJCAI, 2019)

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ruohan Zhang; Zhuode Liu; Lin Guan 003; Luxin Zhang; Mary M. Hayhoe; Dana H. Ballard (CoRR, 2019)

Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset. - Ruohan Zhang; Calen Walshe; Zhuode Liu; Lin Guan 003; Karl S. Muller; Jake Alden Whritner; Luxin Zhang; Mary M. Hayhoe; Dana H. Ballard (AAAI, 2020)

Human Gaze Assisted Artificial Intelligence: A Review. - Ruohan Zhang; Akanksha Saran; Bo Liu 042; Yifeng Zhu; Sihang Guo; Scott Niekum; Dana H. Ballard; Mary M. Hayhoe (IJCAI, 2020)

Efficiently Guiding Imitation Learning Algorithms with Human Gaze. - Akanksha Saran; Ruohan Zhang; Elaine Schaertl Short; Scott Niekum (CoRR, 2020)

Human versus Machine Attention in Deep Reinforcement Learning Tasks. - Ruohan Zhang; Bo Liu 042; Yifeng Zhu; Sihang Guo; Mary M. Hayhoe; Dana H. Ballard; Peter Stone 001 (CoRR, 2020)

Parallel Neural Multiprocessing with Gamma Frequency Latencies. - Ruohan Zhang; Dana H. Ballard (Neural Comput., 2020)

Efficiently Guiding Imitation Learning Agents with Human Gaze. - Akanksha Saran; Ruohan Zhang; Elaine Schaertl Short; Scott Niekum (AAMAS, 2021)

Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation. - Lin Guan 003; Mudit Verma; Sihang Guo; Ruohan Zhang; Subbarao Kambhampati (NeurIPS, 2021)

Machine versus Human Attention in Deep Reinforcement Learning Tasks. - Sihang Guo; Ruohan Zhang; Bo Liu 042; Yifeng Zhu; Dana H. Ballard; Mary M. Hayhoe; Peter Stone 001 (NeurIPS, 2021)

Recent advances in leveraging human guidance for sequential decision-making tasks. - Ruohan Zhang; Faraz Torabi; Garrett Warnell; Peter Stone 001 (Auton. Agents Multi Agent Syst., 2021)

The Hierarchical Evolution in Human Vision Modeling. - Dana H. Ballard; Ruohan Zhang (Top. Cogn. Sci., 2021)

BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Michael Lingelbach; Jiankai Sun; Mona Anvari; Minjune Hwang; et al. (CoRL, 2022)

A Dual Representation Framework for Robot Learning with Human Guidance. - Ruohan Zhang; Dhruva Bansal; Yilun Hao; Ayano Hiranaka; Jialu Gao; Chen Wang 053; Roberto Martín-Martín; Li Fei-Fei 001; Jiajun Wu 001 (CoRL, 2022)

Interaction Modeling with Multiplex Attention. - Fan-Yun Sun; Isaac Kauvar; Ruohan Zhang; Jiachen Li 001; Mykel J. Kochenderfer; Jiajun Wu 001; Nick Haber (NeurIPS, 2022)

New Generation Deep Learning for Video Object Detection: A Survey. - Licheng Jiao; Ruohan Zhang; Fang Liu 001; Shuyuan Yang 001; Biao Hou; Lingling Li 002; Xu Tang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Quantifying the Effect of Visual Impairments on Daily Activities in Virtual, Interactive Environments. - Wensi Ai; Sharon Lee; Li Fei-Fei 001; Jiajun Wu 001; Ruohan Zhang (CogSci, 2023)

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models. - Wenlong Huang; Chen Wang 053; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2023)

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. - Chen Wang 053; Linxi Fan; Jiankai Sun; Ruohan Zhang; Li Fei-Fei 001; Danfei Xu; Yuke Zhu; Anima Anandkumar (CoRL, 2023)

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. - Ruohan Zhang; Sharon Lee; Minjune Hwang; Ayano Hiranaka; Chen Wang 053; Wensi Ai; Jin Jie Ryan Tan; Shreya Gupta; Yilun Hao; Gabrael Levine; Ruohan Gao; Anthony Norcia; et al. (CoRL, 2023)

Disentangled Contrastive Learning for Cross-Domain Recommendation. - Ruohan Zhang; Tianzi Zang; Yanmin Zhu 006; Chunyang Wang 001; Ke Wang 038; Jiadi Yu (DASFAA (2), 2023)

Modeling Dynamic Environments with Scene Graph Memory. - Andrey Kurenkov; Michael Lingelbach; Tanmay Agarwal; Emily Jin; Chengshu Li 002; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001; Silvio Savarese; Roberto Martín-Martín (ICML, 2023)

Task-Driven Graph Attention for Hierarchical Relational Object Navigation. - Michael Lingelbach; Chengshu Li 002; Minjune Hwang; Andrey Kurenkov; Alan Lou; Roberto Martín-Martín; Ruohan Zhang; Li Fei-Fei 001; Jiajun Wu 001 (ICRA, 2023)

Primitive Skill-Based Robot Learning from Human Evaluative Feedback. - Ayano Hiranaka; Minjune Hwang; Sharon Lee; Chen Wang 053; Li Fei-Fei 001; Jiajun Wu 001; Ruohan Zhang (IROS, 2023)

Partial-View Object View Synthesis via Filtered Inversion. - 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 001; et al. (CoRR, 2023)

Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI. - Emily Jin; Jiaheng Hu; Zhuoyi Huang; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001; Roberto Martín-Martín (CoRR, 2023)

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions. - Tianzi Zang; Yanmin Zhu 006; Haobing Liu 001; Ruohan Zhang; Jiadi Yu (ACM Trans. Inf. Syst., 2023)

Partial-View Object View Synthesis via Filtering Inversion. - 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 001; et al. (3DV, 2024)

TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction. - Yunfan Jiang 001; Chen Wang 053; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2024)

Automated Creation of Digital Cousins for Robust Policy Learning. - Tianyuan Dai; Josiah Wong; Yunfan Jiang 001; Chen Wang 053; Cem Gokmen; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001 (CoRL, 2024)

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation. - Wenlong Huang; Chen Wang 053; Yunzhu Li; Ruohan Zhang; Li Fei-Fei 001 (CoRL, 2024)

Learning Compositional Behaviors from Demonstration and Language. - Weiyu Liu; Neil Nie; Ruohan Zhang; Jiayuan Mao; Jiajun Wu 001 (CoRL, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 001; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CVPR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

MARPLE: A Benchmark for Long-Horizon Inference. - Emily Jin; Zhuoyi Huang; Jan-Philipp Fränken; Weiyu Liu; Hannah Cha; Erik Brockbank; Sarah Wu; Ruohan Zhang; Jiajun Wu 001; Tobias Gerstenberg (NeurIPS, 2024)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making. - 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; et al. (NeurIPS, 2024)

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation. - Chen Wang 053; Haochen Shi; Weizhuo Wang 001; Ruohan Zhang; Li Fei-Fei 001; C. Karen Liu (Robotics: Science and Systems, 2024)

SCANER: robust and sensitive identification of malignant cells from the scRNA-seq profiled tumor ecosystem. - Peng Xia; Wei Wu; Quanzhong Liu; Bin Huang; Min Wu; Zihan Lin; Mengyan Zhu; Miao Yu; Ying Qu; Kening Li; Lingxiang Wu; Ruohan Zhang; et al. (Briefings Bioinform., 2024)

TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation. - Shivin Dass; Wensi Ai; Yuqian Jiang; Samik Singh; Jiaheng Hu; Ruohan Zhang; Peter Stone 001; Ben Abbatematteo; Roberto Martín-Martín (CoRR, 2024)

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1, 000 Everyday Activities and Realistic Simulation. - Chengshu Li 002; Ruohan Zhang; Josiah Wong; Cem Gokmen; Sanjana Srivastava; Roberto Martín-Martín; Chen Wang 053; Gabrael Levine; Wensi Ai; Benjamin Jose Martinez; Hang Yin 010; Michael Lingelbach; et al. (CoRR, 2024)

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. - Yunhao Ge; Yihe Tang; Jiashu Xu; Cem Gokmen; Chengshu Li 002; Wensi Ai; Benjamin Jose Martinez; Arman Aydin; Mona Anvari; Ayush K. Chakravarthy; Hong-Xing Yu; Josiah Wong; et al. (CoRR, 2024)

Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning. - Zhuang Qi; Lei Meng 001; Weihao He; Ruohan Zhang; Yu Wang; Xin Qi; Xiangxu Meng (CoRR, 2024)

ShapeCraft: Body-Aware and Semantics-Aware 3D Object Design. - Michelle Guo; Mia Tang; Hannah Cha; Ruohan Zhang; C. Karen Liu; Jiajun Wu 001 (CoRR, 2024)

Token singularity understanding and removal for transformers. - Dan Wang; Licheng Jiao; Ruohan Zhang; Shuyuan Yang 001; Fang Liu 001 (Knowl. Based Syst., 2024)

Evolutionary Dual-Stream Transformer. - Ruohan Zhang; Licheng Jiao; Lingling Li 002; Fang Liu 001; Xu Liu 006; Shuyuan Yang 001 (IEEE Trans. Cybern., 2024)

A Quantum Evolutionary Learning Tracker for Video. - Ruohan Zhang; Licheng Jiao; Lingling Li 002; Xu Liu 006; Fang Liu 001; Shuyuan Yang 001 (IEEE Trans. Evol. Comput., 2024)

Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation. - Tianzi Zang; Yanmin Zhu 006; Ruohan Zhang; Chunyang Wang 001; Ke Wang 038; Jiadi Yu (ACM Trans. Inf. Syst., 2024)

Explicitly modeling relationships between domain-specific and domain-invariant interests for cross-domain recommendation. - Tianzi Zang; Yanmin Zhu 006; Ruohan Zhang; Jing Zhu; Feilong Tang (World Wide Web (WWW), 2024)

A Fast Evolutionary Knowledge Transfer Search for Multiscale Deep Neural Architecture. - Ruohan Zhang; Licheng Jiao; Dan Wang; Fang Liu 001; Xu Liu 006; Shuyuan Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

CRAFT: Designing Creative and Functional 3D Objects. - Michelle Guo; Mia Tang; Hannah Cha; Ruohan Zhang; C. Karen Liu; Jiajun Wu 001 (WACV, 2025)

ImagePrompt: Image-enhanced prompt-tuning for multimodal relation extraction. - Ruohan Zhang; Yanli Hu; Teng Liu; Jianwei Cao (Neurocomputing, 2025)

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities. - Yunfan Jiang 001; Ruohan Zhang; Josiah Wong; Chen Wang 053; Yanjie Ze; Hang Yin 010; Cem Gokmen; Shuran Song; Jiajun Wu 001; Li Fei-Fei 001 (CoRR, 2025)

Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models. - Chen Wang 053; Fei Xia 002; Wenhao Yu 003; Tingnan Zhang; Ruohan Zhang; C. Karen Liu; Li Fei-Fei 001; Jie Tan 001; Jacky Liang (CoRR, 2025)

UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation. - Yihe Tang; Wenlong Huang; Yingke Wang; Chengshu Li 002; Roy Yuan; Ruohan Zhang; Jiajun Wu 001; Li Fei-Fei 001 (CoRR, 2025)

Video diffusion generation: comprehensive review and open problems. - Wenping Ma 001; Xiaoting Yang; Licheng Jiao; Lingling Li 002; Xu Liu 006; Fang Liu 001; Puhua Chen; Yuting Yang 008; Mengru Ma; Long Sun; Ruohan Zhang; Xueli Geng; et al. (Artif. Intell. Rev., 2025)