Research
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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Task-Driven Graph Attention for Hierarchical Relational Object Navigation
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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BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation
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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Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset
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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Minority Reports Defense: Defending Against Adversarial Patches
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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Motion Planning in Understructured Road Environments with Stacked Reservation Grids
Fangyu Wu,
Dequan Wang,
Minjune Hwang,
Chenhui Hao,
Jiawei Lu,
Trevor Darrell,
Alexandre Bayen,
PAL workshop @ ICRA, 2020
paper
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Text Analytics for Resilience-Enabled Extreme Events Reconnaissance
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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Building Resilience Through Structural Health Monitoring and Reconnaissance
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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ME-MAML!: Multi-Label, Expert-Aided
Meta-Learning for Chest X-ray Diagnosis
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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