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I am a graduate student in Computer Science at Stanford University, with interests in robotics and AI. I am a graduate research assistant in the Stanford Vision Lab, working with Prof. Fei-Fei Li and Dr. Ruohan Zhang. Previsouly, I completed my undergraduate studies at UC Berkeley, majoring in Computer Science and Statistics. I've done research in computer vision, robotics, and optimization in the Berkeley AI Research Group, where I was advised by Prof. Alexandre Bayen and Prof. Laurent El Ghaoui. I have also worked on deep learning security research in Prof. David Wagner's group, and optimization-based computational neuroscience research in LBNL & UCSF with Dr. Roy Ben-Shalom and Prof. Kevin Bender. Email / Resume / GitHub / LinkedIn / Google Scholar |
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I am interested in developing and applying machine learning algorithms into real-world problems, especially for autonomous robots and vehicles. Espeically, I'm interested in learning-based control, perception, and reinforcement learning for robotics and mobile manipulation. |
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Michael Lingelbach, Chengshu Li, Minjune Hwang, Andrey Kurenkov, Alan Lou, Roberto Martín-Martín, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, International Conference on Robotics and Automation (ICRA), 2023 |
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Chengshu Li, Cem Gokmen, Gabrael Levine, Roberto Martín-Martín, Sanjana Srivastava, Chen Wang, Josiah Wong, Ruohan Zhang, 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, Karen Liu, Jiajun Wu, Li Fei-Fei, Conference on Robot Learning (CoRL), 2022 (oral) paper / project page |
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Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre Bayen, In submission to The International Journal of Robotics Research (IJRR), 2022 paper / arxiv / github |
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Michael McCoyd, Won Park, Steven Chen, Neil Shah, Ryan Roggenkemper, Minjune Hwang, Jason Xinyu Liu, David Wagner, Security in Machine Learning and its Applications (SiMLA), 2020 (ACNS'20 Best Workshop Paper Award) paper / arXiv / github |
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Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Trevor Darrell, Alexandre Bayen, PAL workshop @ ICRA, 2020 paper |
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Alicia Yi-Ting Tsai*, Selim Günay*, Minjune Hwang*, Chenglong Li*, Pengyuan Zhai*, Laurent El Ghaoui, Khalid M.Mosalam, Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop, NeurIPS, 2020 paper / arXiv / project page / github (*: equal contribution) |
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Khalid M.Mosalam, Selim Günay, Alicia Yi-Ting Tsai, Minjune Hwang, Laurent El Ghaoui, World Conference on Earthquake Engineering (WCEE), 2020 paper / code |
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Amazon Robotics
Applied Scientist Intern |
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Microsoft
Research Intern |
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Apple, SPG
Software Engineering Intern, Motion & Trajectory Planning |
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Minjune Hwang*, Samar Khanna*, Tony Sun*, Stanford University (CS330), 2021 paper / arXiv / github (*: equal contribution) |
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Implementation of RL & Control Agents (DQN, LQR, etc) for OpenAI Gym
Application of Gym Agents in Traffic Environments (in progress) |
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CS 182 (Designing, Visualizing and Understanding DNNs), Spring 2020
CS 287 (Advanced Robotics - Optimal Control, RL, Robotics), Fall 2019 |
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Reader, EE 227BT (Convex Optimization), Fall 2019
STEAM Instructor, Ecole Bilingue de Berkeley (under Prof. Alexandre Bayen), Spring 2019 Lab Assitant, CS 61A (Structure and Interpretation of Computer Programs), Spring 2018 |
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Website template from Jon Barron. |