research
∙
09/21/2023
Parallelizing non-linear sequential models over the sequence length
Sequential models, such as Recurrent Neural Networks and Neural Ordinary...
share
research
∙
09/17/2023
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
Trajectory generation and trajectory prediction are two critical tasks f...
research
∙
09/01/2023
PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer
Polymer simulation with both accuracy and efficiency is a challenging ta...
research
∙
08/28/2023
Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks
Human emotion understanding is pivotal in making conversational technolo...
research
∙
07/21/2023
Safety-Assured Speculative Planning with Adaptive Prediction
Recently significant progress has been made in vehicle prediction and pl...
research
∙
06/05/2023
Explaining and Adapting Graph Conditional Shift
Graph Neural Networks (GNNs) have shown remarkable performance on graph-...
research
∙
05/27/2023
Collaborative Multi-Agent Video Fast-Forwarding
Multi-agent applications have recently gained significant popularity. In...
research
∙
05/20/2023
Patton: Language Model Pretraining on Text-Rich Networks
A real-world text corpus sometimes comprises not only text documents but...
research
∙
04/21/2023
Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT
Robot-based assembly in construction has emerged as a promising solution...
research
∙
04/03/2023
Attrition-Aware Adaptation for Multi-Agent Patrolling
Multi-agent patrolling is a key problem in a variety of domains such as ...
research
∙
03/31/2023
POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems
Neural networks (NNs) playing the role of controllers have demonstrated ...
research
∙
03/20/2023
Leapfrog Diffusion Model for Stochastic Trajectory Prediction
To model the indeterminacy of human behaviors, stochastic trajectory pre...
research
∙
03/09/2023
Learning Representation for Anomaly Detection of Vehicle Trajectories
Predicting the future trajectories of surrounding vehicles based on thei...
research
∙
03/04/2023
Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic
When the traffic stream is extremely congested and surrounding vehicles ...
research
∙
02/07/2023
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
Due to the exponential growth of scientific publications on the Web, the...
research
∙
02/06/2023
Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic
Connectivity technology has shown great potentials in improving the safe...
research
∙
01/25/2023
DEJA VU: Continual Model Generalization For Unseen Domains
In real-world applications, deep learning models often run in non-statio...
research
∙
11/30/2022
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format
Diverse data formats and ontologies of task-oriented dialogue (TOD) data...
research
∙
11/27/2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
This paper studies the problem of stochastic continuum-armed bandit with...
research
∙
11/20/2022
Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph?
Existing graph contrastive learning (GCL) typically requires two forward...
research
∙
11/13/2022
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Data augmentation has been widely used to improve generalization in trai...
research
∙
10/21/2022
A critical review of cyber-physical security for building automation systems
Modern Building Automation Systems (BASs), as the brain that enables the...
research
∙
09/29/2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
It is quite challenging to ensure the safety of reinforcement learning (...
research
∙
08/15/2022
A Tool for Neural Network Global Robustness Certification and Training
With the increment of interest in leveraging machine learning technology...
research
∙
07/15/2022
Enhancement by Your Aesthetic: An Intelligible Unsupervised Personalized Enhancer for Low-Light Images
Low-light image enhancement is an inherently subjective process whose ta...
research
∙
07/14/2022
Source-Free Domain Adaptation for Real-world Image Dehazing
Deep learning-based source dehazing methods trained on synthetic dataset...
research
∙
05/27/2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
Predicting the trajectories of surrounding objects is a critical task in...
research
∙
05/20/2022
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks
We study node representation learning on heterogeneous text-rich network...
research
∙
04/11/2022
Augmentation-Free Graph Contrastive Learning
Graph contrastive learning (GCL) is the most representative and prevalen...
research
∙
03/26/2022
Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding
The robustness of deep neural networks has received significant interest...
research
∙
03/23/2022
DSRC C-V2X Comparison for Connected and Automated Vehicles in Different Traffic Scenarios
Researches have been devoted to making connected and automated vehicles ...
research
∙
03/22/2022
Federated Class-Incremental Learning
Federated learning (FL) has attracted growing attention via data-private...
research
∙
03/02/2022
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor
Trajectory generation and prediction are two interwoven tasks that play ...
research
∙
01/28/2022
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning
In model-based reinforcement learning for safety-critical control system...
research
∙
01/22/2022
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner
Neural networks have shown great promises in planning, control, and gene...
research
∙
01/22/2022
Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee
Neural network based planners have shown great promises in improving per...
research
∙
08/02/2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
There has been a recent surge of interest in designing Graph Neural Netw...
research
∙
07/18/2021
Co-designing Intelligent Control of Building HVACs and Microgrids
Building loads consume roughly 40 countries, a significant part of which...
research
∙
06/27/2021
Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
As people spend up to 87 Ventilation, and Air Conditioning (HVAC) system...
research
∙
06/25/2021
POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems
We propose POLAR, a polynomial arithmetic framework that leverages polyn...
research
∙
06/13/2021
Non-Transferable Learning: A New Approach for Model Verification and Authorization
As Artificial Intelligence as a Service gains popularity, protecting wel...
research
∙
04/30/2021
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads
Vision-and-Language (VL) pre-training has shown great potential on many ...
research
∙
03/03/2021
Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
The infrastructure-vehicle cooperative autonomous driving approach depen...
research
∙
02/27/2021
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
In the development of advanced driver-assistance systems (ADAS) and auto...
research
∙
02/15/2021
Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework
While connected vehicle (CV) applications have the potential to revoluti...
research
∙
02/15/2021
Weak Adaptation Learning – Addressing Cross-domain Data Insufficiency with Weak Annotator
Data quantity and quality are crucial factors for data-driven learning m...
research
∙
12/09/2020
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Texts appearing in daily scenes that can be recognized by OCR (Optical C...
research
∙
11/12/2020
Overview of the Ninth Dialog System Technology Challenge: DSTC9
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
research
∙
09/11/2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Graph neural networks (GNNs) have been shown with superior performance i...
research
∙
08/14/2020