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Ran Tian
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Towards Modeling and Influencing the Dynamics of Human Learning


Jan 02, 2023
Ran Tian, Masayoshi Tomizuka, Anca Dragan, Andrea Bajcsy

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* 18th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2023 
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Simple Recurrence Improves Masked Language Models


May 23, 2022
Tao Lei, Ran Tian, Jasmijn Bastings, Ankur P. Parikh

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Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models


Sep 29, 2021
Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan

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Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots


Sep 26, 2021
Ran Tian, Liting Sun, Masayoshi Tomizuka, David Isele

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* Presented at ICRA 2021 
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Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning


Aug 30, 2021
Ran Tian, Joshua Maynez, Ankur P. Parikh

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Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios


Jun 04, 2021
Ran Tian, Anjian Li, Masayoshi Tomizuka, Liting Sun

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* This work is presented at the ICRA 2021 Workshop on Safe Robot Control with Learned Motion and Environment Models 
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Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data


Mar 07, 2021
Ran Tian, Masayoshi Tomizuka, Liting Sun

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Local Additivity Based Data Augmentation for Semi-supervised NER


Oct 04, 2020
Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang

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* EMNLP 2020 
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Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem


Sep 05, 2020
Ran Tian, Liting Sun, Masayoshi Tomizuka

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