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09/17/2023
Gibbs Sampling using Anti-correlation Gaussian Data Augmentation, with Applications to L1-ball-type Models
L1-ball-type priors are a recent generalization of the spike-and-slab pr...
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09/06/2023
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
Accurate acquisition of crowd flow at Points of Interest (POIs) is pivot...
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09/03/2023
Streaming and Query Once Space Complexity of Longest Increasing Subsequence
Longest Increasing Subsequence (LIS) is a fundamental problem in combina...
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08/24/2023
UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023
This report describes the UNISOUND submission for Track1 and Track2 of V...
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08/23/2023
Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression
Lossless floating-point time series compression is crucial for a wide ra...
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07/17/2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Multivariate time-series anomaly detection is critically important in ma...
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06/28/2023
Erasing-based lossless compression method for streaming floating-point time series
There are a prohibitively large number of floating-point time series dat...
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06/20/2023
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
Robot localization using a previously built map is essential for a varie...
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06/13/2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
Real-world graphs generally have only one kind of tendency in their conn...
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05/30/2023
Graph Neural Processes for Spatio-Temporal Extrapolation
We study the task of spatio-temporal extrapolation that generates data a...
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05/22/2023
Road Planning for Slums via Deep Reinforcement Learning
Millions of slum dwellers suffer from poor accessibility to urban servic...
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05/17/2023
Crossing the Reality Gap in Tactile-Based Learning
Tactile sensors are believed to be essential in robotic manipulation, an...
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04/11/2023
Dexterous In-Hand Manipulation of Slender Cylindrical Objects through Deep Reinforcement Learning with Tactile Sensing
Continuous in-hand manipulation is an important physical interaction ski...
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03/30/2023
Linear Insertion Deletion Codes in the High-Noise and High-Rate Regimes
This work continues the study of linear error correcting codes against a...
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03/25/2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
With the development of sophisticated sensors and large database technol...
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03/24/2023
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Considering the ill-posed nature, contrastive regularization has been de...
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03/23/2023
Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
In this paper, we aim to learn a semantic radiance field from multiple s...
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01/27/2023
Learning 6-DoF Fine-grained Grasp Detection Based on Part Affordance Grounding
Robotic grasping is a fundamental ability for a robot to interact with t...
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12/07/2022
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
Robust prediction of citywide traffic flows at different time periods pl...
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11/29/2022
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Air pollution is a crucial issue affecting human health and livelihoods,...
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11/28/2022
Toward Global Sensing Quality Maximization: A Configuration Optimization Scheme for Camera Networks
The performance of a camera network monitoring a set of targets depends ...
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11/09/2022
Safety-Critical Optimal Control for Robotic Manipulators in A Cluttered Environment
Designing safety-critical control for robotic manipulators is challengin...
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10/30/2022
Multi-view Multi-label Anomaly Network Traffic Classification based on MLP-Mixer Neural Network
Network traffic classification is the basis of many network security app...
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10/18/2022
FedForgery: Generalized Face Forgery Detection with Residual Federated Learning
With the continuous development of deep learning in the field of image g...
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10/18/2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Weed management plays an important role in many modern agricultural appl...
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10/17/2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes
Graph contrastive learning (GCL) has recently emerged as an effective le...
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10/12/2022
THUEE system description for NIST 2020 SRE CTS challenge
This paper presents the system description of the THUEE team for the NIS...
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09/23/2022
The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022
This paper describes speaker verification (SV) systems submitted by the ...
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09/22/2022
The SpeakIn System Description for CNSRC2022
This report describes our speaker verification systems for the tasks of ...
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09/19/2022
On Relaxed Locally Decodable Codes for Hamming and Insertion-Deletion Errors
Locally Decodable Codes (LDCs) are error-correcting codes C:Σ^n→Σ^m with...
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09/18/2022
Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives
With the outbreak of today's streaming data, sequential recommendation i...
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09/05/2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction
Anomaly detection with only prior knowledge from normal samples attracts...
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08/26/2022
Causal Inference in Recommender Systems: A Survey and Future Directions
Existing recommender systems extract the user preference based on learni...
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08/10/2022
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias
Recommender systems are prone to be misled by biases in the data. Models...
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07/31/2022
DA^2 Dataset: Toward Dexterity-Aware Dual-Arm Grasping
In this paper, we introduce DA^2, the first large-scale dual-arm dexteri...
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06/08/2022
A Unified Model for Multi-class Anomaly Detection
Despite the rapid advance of unsupervised anomaly detection, existing me...
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06/03/2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination
Graph contrastive learning (GCL) alleviates the heavy reliance on label ...
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05/31/2022
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
Data insufficiency problem (i.e., data missing and label scarcity issues...
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04/18/2022
Configuration-Aware Safe Control for Mobile Robotic Arm with Control Barrier Functions
Collision avoidance is a widely investigated topic in robotic applicatio...
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04/12/2022
HyperDet3D: Learning a Scene-conditioned 3D Object Detector
A bathtub in a library, a sink in an office, a bed in a laundry room – t...
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02/17/2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Multivariate time series forecasting has long received significant atten...
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02/11/2022
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach
Anomaly detection from graph data is an important data mining task in ma...
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01/17/2022
Towards Unsupervised Deep Graph Structure Learning
In recent years, graph neural networks (GNNs) have emerged as a successf...
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11/01/2021
Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and Deletions
Locally Decodable Codes (LDCs) are error-correcting codes for which indi...
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10/29/2021
Crowd-sensing Enhanced Parking Patrol using Trajectories of Sharing Bikes
Illegal vehicle parking is a common urban problem faced by major cities ...
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10/19/2021
Rep Works in Speaker Verification
Multi-branch convolutional neural network architecture has raised lots o...
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10/11/2021
Multi-query multi-head attention pooling and Inter-topK penalty for speaker verification
This paper describes the multi-query multi-head attention (MQMHA) poolin...
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10/10/2021
Poformer: A simple pooling transformer for speaker verification
Most recent speaker verification systems are based on extracting speaker...
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10/08/2021
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Accurate forecasting of citywide traffic flow has been playing critical ...
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09/27/2021
