Wenhao Ding | DeepAI

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Jingyang Zhang
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∙ 07/15/2023

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation

Robustness has been extensively studied in reinforcement learning (RL) t...

0 Wenhao Ding, et al. ∙

∙ 06/15/2023

Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning

The prominence of embodied Artificial Intelligence (AI), which empowers ...

0 Miao Li, et al. ∙

∙ 05/18/2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

Recently, reward-conditioned reinforcement learning (RCRL) has gained po...

0 Wenhao Ding, et al. ∙

∙ 04/29/2023

Critical Scenario Generation for Developing Trustworthy Autonomy

Autonomous systems, such as self-driving vehicles, quadrupeds, and robot...

0 Wenhao Ding, et al. ∙

∙ 01/23/2023

Learning to View: Decision Transformers for Active Object Detection

Active perception describes a broad class of techniques that couple plan...

0 Wenhao Ding, et al. ∙

∙ 09/16/2022

Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability

A trustworthy reinforcement learning algorithm should be competent in so...

9 Mengdi Xu, et al. ∙

∙ 07/19/2022

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning

As a pivotal component to attaining generalizable solutions in human int...

15 Wenhao Ding, et al. ∙

∙ 06/20/2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

As shown by recent studies, machine intelligence-enabled systems are vul...

0 Chejian Xu, et al. ∙

∙ 02/04/2022

A Survey on Safety-Critical Driving Scenario Generation – A Methodological Perspective

Autonomous driving systems have witnessed a significant development duri...

0 Wenhao Ding, et al. ∙

∙ 11/03/2021

Certifiable Deep Importance Sampling for Rare-Event Simulation of Black-Box Systems

Rare-event simulation techniques, such as importance sampling (IS), cons...

0 Mansur Arief, et al. ∙

∙ 10/26/2021

CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation

Goal-directed generation, aiming for solving downstream tasks by generat...

0 Wenhao Ding, et al. ∙

∙ 06/08/2021

Semantically Controllable Scene Generation with Guidance of Explicit Knowledge

Deep Generative Models (DGMs) are known for their superior capability in...

0 Wenhao Ding, et al. ∙

∙ 01/02/2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments

Safety is a critical concern when deploying reinforcement learning agent...

0 Baiming Chen, et al. ∙

∙ 09/16/2020

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation

Existing neural network-based autonomous systems are shown to be vulnera...

0 Wenhao Ding, et al. ∙

∙ 06/28/2020

Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy

Evaluating the reliability of intelligent physical systems against rare ...

0 Mansur Arief, et al. ∙

∙ 06/19/2020

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes

Continuously learning to solve unseen tasks with limited experience has ...

0 Mengdi Xu, et al. ∙

∙ 03/02/2020

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

Long-tail and rare event problems become crucial when autonomous driving...

0 Wenhao Ding, et al. ∙

∙ 11/15/2019

Adaptive Multi-scale Detection of Acoustic Events

The goal of acoustic (or sound) events detection (AED or SED) is to pred...

0 Wenhao Ding, et al. ∙

∙ 09/17/2019

CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios

Naturalistic driving trajectories are crucial for the performance of aut...

0 Wenhao Ding, et al. ∙

∙ 03/29/2019

Multi-Scale Time-Frequency Attention for Rare Sound Event Detection

Attention mechanism has been widely applied to various sound-related tas...

0 Jingyang Zhang, et al. ∙

∙ 09/15/2018

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters

Generating multi-vehicle trajectories analogous to these in real world c...

0 Wenhao Ding, et al. ∙

∙ 07/14/2018

Hierarchical Reinforcement Learning Framework towards Multi-agent Navigation

This paper proposes a navigation algorithm ori- ented to multi-agent dyn...

0 Wenhao Ding, et al. ∙

∙ 03/24/2018

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

In this paper, we propose an enhanced triplet method that improves the e...

0 Wenhao Ding, et al. ∙

∙ 02/10/2018

Vehicle Pose and Shape Estimation through Multiple Monocular Vision

In this paper, we present an accurate approach to estimate vehicles' pos...

0 Wenhao Ding, et al. ∙

∙ 02/10/2018

Vehicle Three-Dimensional Pose and Shape Estimation from Multiple Monocular Vision

This paper proposes an accurate approach to estimate vehicles' 3D pose a...

0 Wenhao Ding, et al. ∙

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