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09/19/2023
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions
Robust 3D perception under corruption has become an essential task for t...
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09/15/2023
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads
Ground segmentation, as the basic task of unmanned intelligent perceptio...
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09/14/2023
NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
Learning a recommender system model from an item's raw modality features...
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09/08/2023
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment
Large-scale vision-language models (VLMs), e.g., CLIP, learn broad visua...
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08/14/2023
A Novel Ehanced Move Recognition Algorithm Based on Pre-trained Models with Positional Embeddings
The recognition of abstracts is crucial for effectively locating the con...
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07/31/2023
HiREN: Towards Higher Supervision Quality for Better Scene Text Image Super-Resolution
Scene text image super-resolution (STISR) is an important pre-processing...
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06/23/2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Trust evaluation assesses trust relationships between entities and facil...
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06/02/2023
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
Recent investigations show that large language models (LLMs), specifical...
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05/24/2023
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Adapters, a plug-in neural network module with some tunable parameters, ...
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03/23/2023
FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance
Collusive fraud, in which multiple fraudsters collude to defraud health ...
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03/16/2023
Learning-Based Modeling of Human-Autonomous Vehicle Interaction for Enhancing Safety in Mixed-Vehicle Platooning Control
As autonomous vehicles (AVs) become more prevalent on public roads, they...
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03/08/2023
RAF: Holistic Compilation for Deep Learning Model Training
As deep learning is pervasive in modern applications, many deep learning...
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02/15/2023
Variable Selection for Kernel Two-Sample Tests
We consider the variable selection problem for two-sample tests, aiming ...
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02/02/2023
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
The message passing-based graph neural networks (GNNs) have achieved gre...
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01/30/2023
Deep learning numerical methods for high-dimensional fully nonlinear PIDEs and coupled FBSDEs with jumps
We propose a deep learning algorithm for solving high-dimensional parabo...
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01/30/2023
Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
Vision-language alignment learning for video-text retrieval arouses a lo...
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12/14/2022
Efficient Exploration in Resource-Restricted Reinforcement Learning
In many real-world applications of reinforcement learning (RL), performi...
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12/13/2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map
Deep learning classifiers provide the most accurate means of automatical...
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11/14/2022
SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes
The SportsMOT competition aims to solve multiple object tracking of athl...
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11/09/2022
Gaussian Process Learning-Based Model Predictive Control for Safe Interactions of a Platoon of Autonomous and Human-Driven Vehicles
With the continued integration of autonomous vehicles (AVs) into public ...
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11/02/2022
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification
Although the security of automatic speaker verification (ASV) is serious...
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10/30/2022
WeKws: A production first small-footprint end-to-end Keyword Spotting Toolkit
Keyword spotting (KWS) enables speech-based user interaction and gradual...
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09/24/2022
Spatial-aware Speaker Diarization for Multi-channel Multi-party Meeting
This paper describes a spatial-aware speaker diarization system for the ...
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09/22/2022
FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection
3D object detection with multi-sensors is essential for an accurate and ...
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09/07/2022
Democratizing Domain-Specific Computing
In the past few years, domain-specific accelerators (DSAs), such as Goog...
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09/06/2022
TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design
In this paper, we propose TAPA, an end-to-end framework that compiles a ...
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09/02/2022
Contrastive Semantic-Guided Image Smoothing Network
Image smoothing is a fundamental low-level vision task that aims to pres...
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08/23/2022
Sparse Polynomial Optimization: Theory and Practice
The problem of minimizing a polynomial over a set of polynomial inequali...
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08/18/2022
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion
One-shot voice conversion (VC) with only a single target speaker's speec...
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07/25/2022
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) transfers knowledge from a label-ri...
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07/04/2022
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network
Real-time communications in packet-switched networks have become widely ...
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06/13/2022
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
Learning big models and then transfer has become the de facto practice i...
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05/04/2022
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks
Two-sample tests are important areas aiming to determine whether two col...
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04/29/2022
C3-STISR: Scene Text Image Super-resolution with Triple Clues
Scene text image super-resolution (STISR) has been regarded as an import...
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02/15/2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning
Artificial Intelligence (AI) relies heavily on deep learning - a technol...
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02/11/2022
The xmuspeech system for multi-channel multi-party meeting transcription challenge
This paper describes the system developed by the XMUSPEECH team for the ...
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02/09/2022
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty Sets
Hypothesis testing for small-sample scenarios is a practically important...
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01/17/2022
Learning to Reformulate for Linear Programming
It has been verified that the linear programming (LP) is able to formula...
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01/17/2022
An Improved Reinforcement Learning Algorithm for Learning to Branch
Most combinatorial optimization problems can be formulated as mixed inte...
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01/17/2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Adversarial Examples (AEs) can deceive Deep Neural Networks (DNNs) and h...
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12/20/2021
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
Deep reinforcement learning algorithms can perform poorly in real-world ...
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12/16/2021
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
Model-based reinforcement learning algorithms, which aim to learn a mode...
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12/16/2021
EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network
With the development of deep neural networks, automatic music compositio...
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11/28/2021
Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned
Systolic arrays have been widely used for accelerating HPC and deep lear...
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11/28/2021
PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds
Fine-grained geometry, captured by aggregation of point features in loca...
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11/26/2021
Jointly Learning Agent and Lane Information for Multimodal Trajectory Prediction
Predicting the plausible future trajectories of nearby agents is a core ...
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09/24/2021
Sinkhorn Distributionally Robust Optimization
We study distributionally robust optimization with Sinkorn distance – a ...
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09/06/2021
XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021
This paper describes the XMUSPEECH speaker recognition and diarisation s...
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07/12/2021
Technical Report of Team GraphMIRAcles in the WikiKG90M-LSC Track of OGB-LSC @ KDD Cup 2021
Link prediction in large-scale knowledge graphs has gained increasing at...
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05/27/2021