research
∙
09/18/2023
Discovery and inference of a causal network with hidden confounding
This article proposes a novel causal discovery and inference method call...
share
research
∙
09/16/2023
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
Precise crop yield prediction provides valuable information for agricult...
research
∙
09/11/2023
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Personalized text-to-image generation has emerged as a powerful and soug...
research
∙
09/11/2023
An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
Nowadays, the versatile capabilities of Pre-trained Large Language Model...
research
∙
08/23/2023
Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas
Landslide susceptibility assessment (LSA) is of paramount importance in ...
research
∙
08/11/2023
Augmented Negative Sampling for Collaborative Filtering
Negative sampling is essential for implicit-feedback-based collaborative...
research
∙
08/07/2023
AvatarVerse: High-quality Stable 3D Avatar Creation from Text and Pose
Creating expressive, diverse and high-quality 3D avatars from highly cus...
research
∙
08/01/2023
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
End-to-end autonomous driving aims to build a fully differentiable syste...
research
∙
07/20/2023
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Omnidirectional videos (ODVs) play an increasingly important role in the...
research
∙
06/29/2023
End-to-end Autonomous Driving: Challenges and Frontiers
The autonomous driving community has witnessed a rapid growth in approac...
research
∙
06/28/2023
Near-Field Beam Management for Extremely Large-Scale Array Communications
Extremely large-scale arrays (XL-arrays) have emerged as a promising tec...
research
∙
06/05/2023
Scene as Occupancy
Human driver can easily describe the complex traffic scene by visual sys...
research
∙
06/01/2023
Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model
With fewer feature dimensions, filter banks are often used in light-weig...
research
∙
05/28/2023
Regression analysis of longitudinal data with mixed synchronous and asynchronous longitudinal covariates
In linear models, omitting a covariate that is orthogonal to covariates ...
research
∙
05/11/2023
ParamNet: A Parameter-variable Network for Fast Stain Normalization
In practice, digital pathology images are often affected by various fact...
research
∙
05/10/2023
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
End-to-end autonomous driving has made impressive progress in recent yea...
research
∙
04/21/2023
High-Accuracy Multicommodity Flows via Iterative Refinement
The multicommodity flow problem is a classic problem in network flow and...
research
∙
03/15/2023
Communication-Efficient Design for Quantized Decentralized Federated Learning
Decentralized federated learning (DFL) is a variant of federated learnin...
research
∙
03/14/2023
Two-stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge
In ICASSP 2023 speech signal improvement challenge, we developed a dual-...
research
∙
02/20/2023
Personalized speech enhancement combining band-split RNN and speaker attentive module
Target speaker information can be utilized in speech enhancement (SE) mo...
research
∙
02/17/2023
Rigorous Derivation of the Degenerate Parabolic-Elliptic Keller-Segel System from a Moderately Interacting Stochastic Particle System. Part II Propagation of Chaos
This work is a series of two articles. The main goal is to rigorously de...
research
∙
01/18/2023
Mixed Near- and Far-Field Communications for Extremely Large-Scale Array: An Interference Perspective
Extremely large-scale array (XL-array) is envisioned to achieve super-hi...
research
∙
01/03/2023
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling
Witnessing the impressive achievements of pre-training techniques on lar...
research
∙
12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
research
∙
12/12/2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Spurious correlations in training data often lead to robustness issues s...
research
∙
11/16/2022
On the Power of Learning-Augmented BSTs
We present the first Learning-Augmented Binary Search Tree(BST) that att...
research
∙
11/03/2022
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud
GPUs are essential to accelerating the latency-sensitive deep neural net...
research
∙
10/26/2022
Deep Learning is Provably Robust to Symmetric Label Noise
Deep neural networks (DNNs) are capable of perfectly fitting the trainin...
research
∙
09/19/2022
A Simple Framework for Finding Balanced Sparse Cuts via APSP
We present a very simple and intuitive algorithm to find balanced sparse...
research
∙
09/06/2022
Coexistence of Pulsed Radar and Communications: Interference Suppression and Multi-path Combining
The focus of this study is on the spectrum sharing between multiple-inpu...
research
∙
08/29/2022
Minimum Coverage Instrumentation
Modern compilers leverage block coverage profile data to carry out downs...
research
∙
07/20/2022
Robust Landmark-based Stent Tracking in X-ray Fluoroscopy
In clinical procedures of angioplasty (i.e., open clogged coronary arter...
research
∙
07/20/2022
Design of Coded Caching Schemes with Linear Subpacketizations Based on Injective Arc Coloring of Regular Digraphs
Coded caching is an effective technique to decongest the amount of traff...
research
∙
07/15/2022
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Many existing autonomous driving paradigms involve a multi-stage discret...
research
∙
07/02/2022
CRB for a Generic Near-Field Positioning System Using Three Electric Field Types
The use of larger antenna arrays at higher frequency bands is envisioned...
research
∙
06/25/2022
Enhanced Deep Animation Video Interpolation
Existing learning-based frame interpolation algorithms extract consecuti...
research
∙
06/16/2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Current end-to-end autonomous driving methods either run a controller ba...
research
∙
05/28/2022
Deep Learning with Label Noise: A Hierarchical Approach
Deep neural networks are susceptible to label noise. Existing methods to...
research
∙
04/30/2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
One essential task for autonomous driving is to encode the information o...
research
∙
03/24/2022
Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems
Conversational recommender systems (CRSs) imitate human advisors to assi...
research
∙
03/17/2022
Conversational Recommendation: A Grand AI Challenge
Animated avatars, which look and talk like humans, are iconic visions of...
research
∙
03/11/2022
A Survey of Surface Defect Detection of Industrial Products Based on A Small Number of Labeled Data
The surface defect detection method based on visual perception has been ...
research
∙
03/01/2022
Maximum Flow and Minimum-Cost Flow in Almost-Linear Time
We give an algorithm that computes exact maximum flows and minimum-cost ...
research
∙
02/06/2022
Perceptual Coding for Compressed Video Understanding: A New Framework and Benchmark
Most video understanding methods are learned on high-quality videos. How...
research
∙
11/15/2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
One major problem in black-box adversarial attacks is the high query com...
research
∙
10/29/2021
Estimating the Distribution of Ratio of Paired Event Times in Phase II Oncology Trials
With the rapid development of new anti-cancer agents which are cytostati...
research
∙
10/25/2021
Weighted Mean Difference Statistics for Paired Data in Presence of Missing Values
Missing data is a common issue in many biomedical studies. Under a paire...
research
∙
10/19/2021
Aesthetic Photo Collage with Deep Reinforcement Learning
Photo collage aims to automatically arrange multiple photos on a given c...
research
∙
10/07/2021
Cloning one's voice using very limited data in the wild
With the increasing popularity of speech synthesis products, the industr...
research
∙
10/06/2021