b'Jun Chen'

research

∙ 08/21/2023

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold

The conjugate gradient method is a crucial first-order optimization meth...

0 Jun Chen, et al. ∙

research

∙ 08/14/2023

Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning

Structured pruning and quantization are promising approaches for reducin...

0 Shipeng Bai, et al. ∙

research

∙ 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...

0 Bingxue Wang, et al. ∙

research

∙ 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...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Jiuxin Lin, et al. ∙

research

∙ 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...

0 Jiuxin Lin, et al. ∙

research

∙ 06/01/2023

MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding

Monitoring animal behavior can facilitate conservation efforts by provid...

8 Jun Chen, et al. ∙

research

∙ 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...

0 Sadaf Salehkalaibar, et al. ∙

research

∙ 05/19/2023

Learning Global-aware Kernel for Image Harmonization

Image harmonization aims to solve the visual inconsistency problem in co...

0 Xintian Shen, et al. ∙

research

∙ 05/17/2023

A Coding Theorem for Rate-Limited Quantum-Classical Optimal Transport

We establish a coding theorem for rate-limited quantum-classical optimal...

0 Hafez M. Garmaroudi, et al. ∙

research

∙ 05/11/2023

The Cardinality Bound on the Information Bottleneck Representations is Tight

The information bottleneck (IB) method aims to find compressed represent...

0 Etam Benger, et al. ∙

research

∙ 05/09/2023

Inter-SubNet: Speech Enhancement with Subband Interaction

Subband-based approaches process subbands in parallel through the model ...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Peng Xia, et al. ∙

research

∙ 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...

0 Han Zhou, et al. ∙

research

∙ 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...

0 Yukai Ju, et al. ∙

research

∙ 03/02/2023

Convex Approximation for Probabilistic Reachable Set under Data-driven Uncertainties

This paper is proposed to efficiently provide a convex approximation for...

0 Pengcheng Wu, et al. ∙

research

∙ 02/20/2023

Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning

Recently, some mixture algorithms of pointwise and pairwise learning (PP...

0 Jiahuan Wang, et al. ∙

research

∙ 02/20/2023

On the Stability and Generalization of Triplet Learning

Triplet learning, i.e. learning from triplet data, has attracted much at...

0 Jun Chen, et al. ∙

research

∙ 02/14/2023

Scheduling Coflows for Minimizing the Makespan in Identical Parallel Networks

With the development of technology, parallel computing applications have...

0 Jun Chen, et al. ∙

research

∙ 02/07/2023

Learning Discretized Neural Networks under Ricci Flow

In this paper, we consider Discretized Neural Networks (DNNs) consisting...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Yangyi Liu, et al. ∙

research

∙ 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...

0 Chao Tian, et al. ∙

research

∙ 11/10/2022

Speech Enhancement with Fullband-Subband Cross-Attention Network

FullSubNet has shown its promising performance on speech enhancement by ...

0 Jun Chen, et al. ∙

research

∙ 10/28/2022

Speech Enhancement with Intelligent Neural Homomorphic Synthesis

Most neural network speech enhancement models ignore speech production m...

0 Shulin He, et al. ∙

research

∙ 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 ...

0 Kangdi Shi, et al. ∙

research

∙ 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...

0 Fengying Dang, et al. ∙

research

∙ 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...

4 Xiangrui Zhao, et al. ∙

research

∙ 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...

0 Song Li, et al. ∙

research

∙ 07/20/2022

On Linear Power Control Policies for Energy Harvesting Communications

A comprehensive analysis of linear power control polices, which include ...

0 Hafez M. Garmaroudi, et al. ∙

research

∙ 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 ...

0 Ruobing Han, et al. ∙

research

∙ 06/01/2022

Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction

Self-supervised learning for computer vision has achieved tremendous pro...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Asmita Roy, et al. ∙

research

∙ 04/12/2022

On the Rate-Distortion-Perception Function

Rate-distortion-perception theory generalizes Shannon's rate-distortion ...

0 Jun Chen, et al. ∙

research

∙ 03/23/2022

FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement

Previously proposed FullSubNet has achieved outstanding performance in D...

0 Jun Chen, et al. ∙

research

∙ 02/24/2022

A Unified Framework for Campaign Performance Forecasting in Online Display Advertising

Advertisers usually enjoy the flexibility to choose criteria like target...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Jun Chen, et al. ∙

research

∙ 02/15/2022

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval

We introduce CommerceMM - a multimodal model capable of providing a dive...

0 Licheng Yu, et al. ∙

research

∙ 01/19/2022

On Distributed Lossy Coding of Symmetrically Correlated Gaussian Sources

In this paper, we consider a distributed lossy compression network with ...

0 Siyao Zhou, et al. ∙

research

∙ 12/21/2021

Dynamically Stable Poincaré Embeddings for Neural Manifolds

In a Riemannian manifold, the Ricci flow is a partial differential equat...

0 Jun Chen, et al. ∙

research

∙ 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...

0 Jun Chen, et al. ∙

research

∙ 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)...

8 Jun Chen, et al. ∙

research

∙ 09/10/2021

Risk-bounded Path Planning for Urban Air Mobility Operations under Uncertainty

Collision avoidance is an essential concern for the autonomous operation...

0 Pengcheng Wu, et al. ∙

research

∙ 06/18/2021

Universal Rate-Distortion-Perception Representations for Lossy Compression

In the context of lossy compression, Blau Michaeli (2019) adopt a ma...

0 George Zhang, et al. ∙

research

∙ 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...

11 Jun Chen, et al. ∙

research

∙ 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...

9 Ren Yang, et al. ∙

research

∙ 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...

0 Mahak Kothari, et al. ∙

research

∙ 04/01/2021

LinDA: Linear Models for Differential Abundance Analysis of Microbiome Compositional Data

One fundamental statistical task in microbiome data analysis is differen...

0 Huijuan Zhou, et al. ∙

research

∙ 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...

0 HongYuan Cao, et al. ∙

research

∙ 03/26/2021

Towards a Unified Approach to Single Image Deraining and Dehazing

We develop a new physical model for the rain effect and show that the we...

0 Xiaohong Liu, et al. ∙

Jun Chen

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