b'Qi Zhu'

research

∙ 09/21/2023

Parallelizing non-linear sequential models over the sequence length

Sequential models, such as Recurrent Neural Networks and Neural Ordinary...

0 Yi Heng Lim, et al. ∙

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...

0 Ruochen Jiao, et al. ∙

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...

0 Rui Feng, et al. ∙

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...

0 Payal Mohapatra, et al. ∙

research

∙ 07/21/2023

Safety-Assured Speculative Planning with Adaptive Prediction

Recently significant progress has been made in vehicle prediction and pl...

0 Xiangguo Liu, et al. ∙

research

∙ 06/05/2023

Explaining and Adapting Graph Conditional Shift

Graph Neural Networks (GNNs) have shown remarkable performance on graph-...

0 Qi Zhu, et al. ∙

research

∙ 05/27/2023

Collaborative Multi-Agent Video Fast-Forwarding

Multi-agent applications have recently gained significant popularity. In...

0 Shuyue Lan, et al. ∙

research

∙ 05/20/2023

Patton: Language Model Pretraining on Text-Rich Networks

A real-world text corpus sometimes comprises not only text documents but...

0 Bowen Jin, et al. ∙

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...

0 Hengxu You, et al. ∙

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 ...

0 Anthony Goeckner, et al. ∙

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 ...

0 Yixuan Wang, et al. ∙

research

∙ 03/20/2023

Leapfrog Diffusion Model for Stochastic Trajectory Prediction

To model the indeterminacy of human behaviors, stochastic trajectory pre...

0 Weibo Mao, et al. ∙

research

∙ 03/09/2023

Learning Representation for Anomaly Detection of Vehicle Trajectories

Predicting the future trajectories of surrounding vehicles based on thei...

0 Ruochen Jiao, et al. ∙

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 ...

0 Xiangguo Liu, et al. ∙

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...

0 Yu Zhang, et al. ∙

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...

0 Xiangguo Liu, et al. ∙

research

∙ 01/25/2023

DEJA VU: Continual Model Generalization For Unseen Domains

In real-world applications, deep learning models often run in non-statio...

5 Chenxi Liu, et al. ∙

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...

0 Qi Zhu, et al. ∙

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...

0 Hengquan Guo, et al. ∙

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...

0 Haonan Wang, et al. ∙

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...

0 Liang Xiao, et al. ∙

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...

0 Guowen Li, et al. ∙

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 (...

5 Yixuan Wang, et al. ∙

research

∙ 08/15/2022

A Tool for Neural Network Global Robustness Certification and Training

With the increment of interest in leveraging machine learning technology...

0 Zhilu Wang, et al. ∙

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...

0 Naishan Zheng, et al. ∙

research

∙ 07/14/2022

Source-Free Domain Adaptation for Real-world Image Dehazing

Deep learning-based source dehazing methods trained on synthetic dataset...

0 Hu Yu, et al. ∙

research

∙ 05/27/2022

Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction

Predicting the trajectories of surrounding objects is a critical task in...

0 Ruochen Jiao, et al. ∙

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...

0 Bowen Jin, et al. ∙

research

∙ 04/11/2022

Augmentation-Free Graph Contrastive Learning

Graph contrastive learning (GCL) is the most representative and prevalen...

15 Haonan Wang, et al. ∙

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...

0 Zhilu Wang, et al. ∙

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 ...

0 Yuanzhe Jin, et al. ∙

research

∙ 03/22/2022

Federated Class-Incremental Learning

Federated learning (FL) has attracted growing attention via data-private...

0 Jiahua Dong, et al. ∙

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 ...

0 Ruochen Jiao, et al. ∙

research

∙ 01/28/2022

Joint Differentiable Optimization and Verification for Certified Reinforcement Learning

In model-based reinforcement learning for safety-critical control system...

2 Yixuan Wang, et al. ∙

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...

0 Xiangguo Liu, et al. ∙

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...

0 Xiangguo Liu, et al. ∙

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...

0 Qi Zhu, et al. ∙

research

∙ 07/18/2021

Co-designing Intelligent Control of Building HVACs and Microgrids

Building loads consume roughly 40 countries, a significant part of which...

0 Rumia Masburah, et al. ∙

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...

0 Shichao Xu, et al. ∙

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...

0 Chao Huang, et al. ∙

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...

0 Lixu Wang, et al. ∙

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 ...

0 Chenyu Gao, et al. ∙

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...

0 Shaoshan Liu, et al. ∙

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...

9 Ruochen Jiao, et al. ∙

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...

0 Xiangguo Liu, et al. ∙

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...

0 Shichao Xu, et al. ∙

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...

0 Qi Zhu, et al. ∙

research

∙ 11/12/2020

Overview of the Ninth Dialog System Technology Challenge: DSTC9

This paper introduces the Ninth Dialog System Technology Challenge (DSTC...

4 Chulaka Gunasekara, et al. ∙

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...

36 Qi Zhu, et al. ∙

research

∙ 08/14/2020

Towards Class Imbalance in Federated Learning

Federated learning (FL) is a promising approach for training decentraliz...

16 Lixu Wang, et al. ∙

Qi Zhu

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