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09/18/2023
Discovery and inference of a causal network with hidden confounding
This article proposes a novel causal discovery and inference method call...
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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...
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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...
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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...
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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 ...
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08/11/2023
Augmented Negative Sampling for Collaborative Filtering
Negative sampling is essential for implicit-feedback-based collaborative...
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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...
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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...
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07/20/2023
Perceptual Quality Assessment of Omnidirectional Audio-visual Signals
Omnidirectional videos (ODVs) play an increasingly important role in the...
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06/29/2023
End-to-end Autonomous Driving: Challenges and Frontiers
The autonomous driving community has witnessed a rapid growth in approac...
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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...
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06/05/2023
Scene as Occupancy
Human driver can easily describe the complex traffic scene by visual sys...
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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...
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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 ...
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05/11/2023
ParamNet: A Parameter-variable Network for Fast Stain Normalization
In practice, digital pathology images are often affected by various fact...
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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...
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04/21/2023
High-Accuracy Multicommodity Flows via Iterative Refinement
The multicommodity flow problem is a classic problem in network flow and...
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03/15/2023
Communication-Efficient Design for Quantized Decentralized Federated Learning
Decentralized federated learning (DFL) is a variant of federated learnin...
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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-...
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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...
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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...
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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...
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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...
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12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
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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...
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11/16/2022
On the Power of Learning-Augmented BSTs
We present the first Learning-Augmented Binary Search Tree(BST) that att...
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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...
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10/26/2022
Deep Learning is Provably Robust to Symmetric Label Noise
Deep neural networks (DNNs) are capable of perfectly fitting the trainin...
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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...
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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...
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08/29/2022
Minimum Coverage Instrumentation
Modern compilers leverage block coverage profile data to carry out downs...
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07/20/2022
Robust Landmark-based Stent Tracking in X-ray Fluoroscopy
In clinical procedures of angioplasty (i.e., open clogged coronary arter...
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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...
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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...
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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...
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06/25/2022
Enhanced Deep Animation Video Interpolation
Existing learning-based frame interpolation algorithms extract consecuti...
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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...
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05/28/2022
Deep Learning with Label Noise: A Hierarchical Approach
Deep neural networks are susceptible to label noise. Existing methods to...
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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...
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03/24/2022
Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems
Conversational recommender systems (CRSs) imitate human advisors to assi...
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03/17/2022
Conversational Recommendation: A Grand AI Challenge
Animated avatars, which look and talk like humans, are iconic visions of...
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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 ...
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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 ...
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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...
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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...
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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...
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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...
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10/19/2021
Aesthetic Photo Collage with Deep Reinforcement Learning
Photo collage aims to automatically arrange multiple photos on a given c...
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10/07/2021
Cloning one's voice using very limited data in the wild
With the increasing popularity of speech synthesis products, the industr...
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10/06/2021
