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08/21/2023
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
The conjugate gradient method is a crucial first-order optimization meth...
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08/14/2023
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
Structured pruning and quantization are promising approaches for reducin...
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07/27/2023
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors
The presence of tertiary lymphoid structures (TLSs) on pancreatic pathol...
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07/02/2023
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Neural network quantization is a very promising solution in the field of...
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06/28/2023
MC-SpEx: Towards Effective Speaker Extraction with Multi-Scale Interfusion and Conditional Speaker Modulation
The previous SpEx+ has yielded outstanding performance in speaker extrac...
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06/28/2023
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Previously, Target Speaker Extraction (TSE) has yielded outstanding perf...
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06/25/2023
AV-SepFormer: Cross-Attention SepFormer for Audio-Visual Target Speaker Extraction
Visual information can serve as an effective cue for target speaker extr...
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06/01/2023
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
Monitoring animal behavior can facilitate conservation efforts by provid...
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05/30/2023
On the Choice of Perception Loss Function for Learned Video Compression
We study causal, low-latency, sequential video compression when the outp...
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05/19/2023
Learning Global-aware Kernel for Image Harmonization
Image harmonization aims to solve the visual inconsistency problem in co...
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05/17/2023
A Coding Theorem for Rate-Limited Quantum-Classical Optimal Transport
We establish a coding theorem for rate-limited quantum-classical optimal...
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05/11/2023
The Cardinality Bound on the Information Bottleneck Representations is Tight
The information bottleneck (IB) method aims to find compressed represent...
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05/09/2023
Inter-SubNet: Speech Enhancement with Subband Interaction
Subband-based approaches process subbands in parallel through the model ...
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05/08/2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Long-tailed multi-label visual recognition (LTML) task is a highly chall...
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05/08/2023
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt
Haze usually leads to deteriorated images with low contrast, color shift...
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03/14/2023
TEA-PSE 3.0: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System For ICASSP 2023 DNS Challenge
This paper introduces the Unbeatable Team's submission to the ICASSP 202...
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03/02/2023
Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties
This paper is proposed to efficiently provide a convex approximation for...
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02/20/2023
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
Recently, some mixture algorithms of pointwise and pairwise learning (PP...
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02/20/2023
On the Stability and Generalization of Triplet Learning
Triplet learning, i.e. learning from triplet data, has attracted much at...
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02/14/2023
Scheduling Coflows for Minimizing the Makespan in Identical Parallel Networks
With the development of technology, parallel computing applications have...
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02/07/2023
Learning Discretized Neural Networks under Ricci Flow
In this paper, we consider Discretized Neural Networks (DNNs) consisting...
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01/23/2023
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
In federated learning (FL), the communication constraint between the rem...
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01/05/2023
A Shannon-Theoretic Approach to the Storage-Retrieval Tradeoff in PIR Systems
We consider the storage-retrieval rate tradeoff in private information r...
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11/10/2022
Speech Enhancement with Fullband-Subband Cross-Attention Network
FullSubNet has shown its promising performance on speech enhancement by ...
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10/28/2022
Speech Enhancement with Intelligent Neural Homomorphic Synthesis
Most neural network speech enhancement models ignore speech production m...
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09/21/2022
Progressive with Purpose: Guiding Progressive Inpainting DNNs through Context and Structure
The advent of deep learning in the past decade has significantly helped ...
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08/22/2022
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving
Event-triggered model predictive control (eMPC) is a popular optimal con...
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08/03/2022
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
Poles and building edges are frequently observable objects on urban road...
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07/23/2022
A Ligand-and-structure Dual-driven Deep Learning Method for the Discovery of Highly Potent GnRH1R Antagonist to treat Uterine Diseases
Gonadotrophin-releasing hormone receptor (GnRH1R) is a promising therape...
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07/20/2022
On Linear Power Control Policies for Energy Harvesting Communications
A comprehensive analysis of linear power control polices, which include ...
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06/16/2022
CuPBoP: CUDA for Parallelized and Broad-range Processors
CUDA is one of the most popular choices for GPU programming, but it can ...
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06/01/2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Self-supervised learning for computer vision has achieved tremendous pro...
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05/23/2022
A General Framework for Powerful Confounder Adjustment in Omics Association Studies
Genomic data are subject to various sources of confounding, such as batc...
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04/12/2022
On the Rate-Distortion-Perception Function
Rate-distortion-perception theory generalizes Shannon's rate-distortion ...
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03/23/2022
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement
Previously proposed FullSubNet has achieved outstanding performance in D...
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02/24/2022
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising
Advertisers usually enjoy the flexibility to choose criteria like target...
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02/20/2022
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification
Recent deep neural network-based device classification studies show that...
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02/15/2022
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval
We introduce CommerceMM - a multimodal model capable of providing a dive...
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01/19/2022
On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources
In this paper, we consider a distributed lossy compression network with ...
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12/21/2021
Dynamically Stable Poincaré Embeddings for Neural Manifolds
In a Riemannian manifold, the Ricci flow is a partial differential equat...
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11/16/2021
Thoughts on the Consistency between Ricci Flow and Neural Network Behavior
The Ricci flow is a partial differential equation for evolving the metri...
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09/17/2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data
Semi-supervised learning provides great significance in left atrium (LA)...
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09/10/2021
Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty
Collision avoidance is an essential concern for the autonomous operation...
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06/18/2021
Universal Rate-Distortion-Perception Representations for Lossy Compression
In the context of lossy compression, Blau Michaeli (2019) adopt a ma...
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05/01/2021
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets
Automated and accurate segmentations of left atrium (LA) and atrial scar...
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04/21/2021
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of c...
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04/13/2021
Bayesian Optimisation for a Biologically Inspired Population Neural Network
We have used Bayesian Optimisation (BO) to find hyper-parameters in an e...
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04/01/2021
LinDA: Linear Models for Differential Abundance Analysis of Microbiome Compositional Data
One fundamental statistical task in microbiome data analysis is differen...
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03/29/2021
Optimal False Discovery Rate Control for Large Scale Multiple Testing with Auxiliary Information
Large-scale multiple testing is a fundamental problem in high dimensiona...
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03/26/2021