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Jan 2025
Our paper
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems
was accepted to
ICLR 2025
.
Jun 2024
Our paper
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
was accepted to
IROS 2024
.
Mar 2024
Our paper
Empowering Autonomous Driving with Large Language Models: A Safety Perspective
was accepted to
LLMAgents @ ICLR 2024
.
Aug 2023
The co-authored book chapter
"Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles"
is now available online.
Jul 2023
Our paper
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction
was accepted to
ICCV 2023
.
Jun 2023
Our two papers were accepted to
IROS 2023
:
Learning Representation for Anomaly Detection of Vehicle Trajectories
and
Safety-Assured Speculative Planning with Adaptive Prediction
.
Jun 2023
I joined Amazon as an
Applied Scientist Intern
.
Apr 2023
Our paper
Enforcing Hard Constraints with Soft Barriers: Safety-driven Reinforcement Learning in Unknown Stochastic Environments
was accepted to
ICML 2023
.
Feb 2023
Our paper
Efficient Stuttering Event Detection Using Siamese Networks
was accepted to
ICASSP 2023
.
Jun 2022
Our paper
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor
was accepted to
IROS 2022
.
Feb 2022
Our paper
Safety-driven Interactive Planning for Neural Network-based Lane Changing
was accepted to
ASP-DAC 2023
.
Jun 2021
I joined InfoTech Labs Toyota as a
Research Scientist Intern
and worked on mobile vehicular cloud.
May 2021
Our paper
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
was accepted to
IEEE Intelligent Vehicles Symposium (IV 2021)
.
Feb 2021
Our paper
WIP: End-to-end analysis of adversarial attacks to automated lane centering systems
was accepted to the
AutoSec 2021
workshop and received the
Best Short Paper Award
.