b'Lin Zhang'

research

∙ 09/19/2023

Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

In this work, we introduce the concept of complex text style transfer ta...

0 Ruiqi Xu, et al. ∙

research

∙ 08/26/2023

Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator

Optical packet header recognition is an important signal processing task...

0 Zheng Li, et al. ∙

research

∙ 08/07/2023

LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning

The low-rank adaptation (LoRA) method can largely reduce the amount of t...

0 Longteng Zhang, et al. ∙

research

∙ 08/04/2023

Eva: A General Vectorized Approximation Framework for Second-order Optimization

Second-order optimization algorithms exhibit excellent convergence prope...

0 Lin Zhang, et al. ∙

research

∙ 06/15/2023

Evaluation and Optimization of Gradient Compression for Distributed Deep Learning

To accelerate distributed training, many gradient compression methods ha...

0 Lin Zhang, et al. ∙

research

∙ 05/28/2023

Range-Based Equal Error Rate for Spoof Localization

Spoof localization, also called segment-level detection, is a crucial ta...

1 Lin Zhang, et al. ∙

research

∙ 05/27/2023

A Diffusion Model for Event Skeleton Generation

Event skeleton generation, aiming to induce an event schema skeleton gra...

0 Fangqi Zhu, et al. ∙

research

∙ 04/25/2023

Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet

Fracture is one of the main failure modes of engineering structures such...

0 Yu Zhang, et al. ∙

research

∙ 04/14/2023

H2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces

Temporal heterogeneous information network (temporal HIN) embedding, aim...

0 Qijie Bai, et al. ∙

research

∙ 03/09/2023

LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution

It is widely agreed that reference-based super-resolution (RefSR) achiev...

0 Lin Zhang, et al. ∙

research

∙ 03/06/2023

Artificial Intelligence: 70 Years Down the Road

Artificial intelligence (AI) has a history of nearly a century from its ...

0 Lin Zhang, et al. ∙

research

∙ 02/24/2023

Decoupling the All-Reduce Primitive for Accelerating Distributed Deep Learning

Communication scheduling has been shown to be effective in accelerating ...

0 Lin Zhang, et al. ∙

research

∙ 02/21/2023

Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations

Photorealistic image generation from simulated label maps are necessitat...

0 Lin Zhang, et al. ∙

research

∙ 12/24/2022

A Large-scale Friend Suggestion Architecture

Online social as an extension of traditional life plays an important rol...

0 Lin Zhang, et al. ∙

research

∙ 12/24/2022

Unsupervised Instance and Subnetwork Selection for Network Data

Unlike tabular data, features in network data are interconnected within ...

0 Lin Zhang, et al. ∙

research

∙ 11/21/2022

Margin-closed vector autoregressive time series models

Conditions are obtained for a Gaussian vector autoregressive time series...

0 Lin Zhang, et al. ∙

research

∙ 11/08/2022

RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection

Reference-based image super-resolution (RefSR) is a promising SR branch ...

0 Lin Zhang, et al. ∙

research

∙ 10/16/2022

Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective

We propose a new paradigm for zero-shot learners that is format agnostic...

0 Ping Yang, et al. ∙

research

∙ 10/10/2022

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER

As the categories of named entities rapidly increase in real-world appli...

0 Ruotian Ma, et al. ∙

research

∙ 08/23/2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

This paper reviews the Challenge on Super-Resolution of Compressed Image...

0 Ren Yang, et al. ∙

research

∙ 06/30/2022

Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning

The second-order optimization methods, notably the D-KFAC (Distributed K...

0 Lin Zhang, et al. ∙

research

∙ 06/09/2022

SsciBERT: A Pre-trained Language Model for Social Science Texts

The academic literature of social sciences is the literature that record...

0 Si Shen, et al. ∙

research

∙ 06/06/2022

WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images

Stereo matching of high-resolution satellite images (HRSI) is still a fu...

24 Shenhong Li, et al. ∙

research

∙ 04/18/2022

Multi-task Deep Neural Networks for Massive MIMO CSI Feedback

Deep learning has been widely applied for the channel state information ...

0 Boyuan Zhang, et al. ∙

research

∙ 04/11/2022

The PartialSpoof Database and Countermeasures for the Detection of Short Generated Audio Segments Embedded in a Speech Utterance

Automatic speaker verification is susceptible to various manipulations a...

0 Lin Zhang, et al. ∙

research

∙ 04/10/2022

Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching

The expansion of renewable energy could help realizing the goals of peak...

0 Xinhang Li, et al. ∙

research

∙ 03/17/2022

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Federated Learning (FL) is an emerging distributed learning paradigm und...

0 Lin Zhang, et al. ∙

research

∙ 03/17/2022

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding

Speaker embedding is an important front-end module to explore discrimina...

0 Ruiteng Zhang, et al. ∙

research

∙ 03/04/2022

BEATS: An Open-Source, High-Precision, Multi-Channel EEG Acquisition Tool System

Stable and accurate electroencephalogram (EEG) signal acquisition is fun...

0 Bing Zou, et al. ∙

research

∙ 03/01/2022

T^3OMVP: A Transformer-based Time and Team Reinforcement Learning Scheme for Observation-constrained Multi-Vehicle Pursuit in Urban Area

Smart Internet of Vehicles (IoVs) combined with Artificial Intelligence ...

28 Zheng Yuan, et al. ∙

research

∙ 02/28/2022

Changeable Rate and Novel Quantization for CSI Feedback Based on Deep Learning

Deep learning (DL)-based channel state information (CSI) feedback improv...

0 Xin Liang, et al. ∙

research

∙ 02/01/2022

A discussion of measuring the top-1 percent most-highly cited publications: Quality and impact of Chinese papers

The top 1 percent most highly cited articles are watched closely as the ...

0 Caroline S. Wagner, et al. ∙

research

∙ 12/11/2021

A General Auxiliary Controller for Multi-agent Flocking

We aim to improve the performance of multi-agent flocking behavior by qu...

0 Jinfan Zhou, et al. ∙

research

∙ 11/25/2021

Learning from Temporal Gradient for Semi-supervised Action Recognition

Semi-supervised video action recognition tends to enable deep neural net...

5 Junfei Xiao, et al. ∙

research

∙ 10/26/2021

CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization

Automatic speaker verification (ASV) systems, which determine whether tw...

0 Ruiteng Zhang, et al. ∙

research

∙ 08/24/2021

Maximum Likelihood Estimation for Multimodal Learning with Missing Modality

Multimodal learning has achieved great successes in many scenarios. Comp...

0 Fei Ma, et al. ∙

research

∙ 08/12/2021

MT-ORL: Multi-Task Occlusion Relationship Learning

Retrieving occlusion relation among objects in a single image is challen...

2 Panhe Feng, et al. ∙

research

∙ 08/11/2021

Bayesian functional graphical models

We develop a Bayesian graphical modeling framework for functional data f...

0 Lin Zhang, et al. ∙

research

∙ 08/09/2021

A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles

Federated Deep Learning (FDL) is helping to realize distributed machine ...

14 Zhe Wang, et al. ∙

research

∙ 07/29/2021

Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection

In this paper, we provide a series of multi-tasking benchmarks for simul...

0 Lin Zhang, et al. ∙

research

∙ 07/20/2021

Edge of chaos as a guiding principle for modern neural network training

The success of deep neural networks in real-world problems has prompted ...

0 Lin Zhang, et al. ∙

research

∙ 07/14/2021

Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks

Distributed training with synchronous stochastic gradient descent (SGD) ...

4 Shaohuai Shi, et al. ∙

research

∙ 07/02/2021

How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition

Contrastive learning applied to self-supervised representation learning ...

0 Lin Zhang, et al. ∙

research

∙ 06/25/2021

Temporal Graph Signal Decomposition

Temporal graph signals are multivariate time series with individual comp...

0 Maxwell McNeil, et al. ∙

research

∙ 06/12/2021

A One-Shot Texture-Perceiving Generative Adversarial Network for Unsupervised Surface Inspection

Visual surface inspection is a challenging task owing to the highly dive...

0 Lingyun Gu, et al. ∙

research

∙ 05/05/2021

Density-Aware Federated Imitation Learning for Connected and Automated Vehicles with Unsignalized Intersection

Intelligent Transportation System (ITS) has become one of the essential ...

0 Tianhao Wu, et al. ∙

research

∙ 04/28/2021

Causal Discovery of Flight Service Process Based on Event Sequence

The development of the civil aviation industry has continuously increase...

0 Zhiwei Xing, et al. ∙

research

∙ 04/06/2021

An Initial Investigation for Detecting Partially Spoofed Audio

All existing databases of spoofed speech contain attack data that is spo...

0 Lin Zhang, et al. ∙

research

∙ 04/03/2021

A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn

Pursuit-evasion games are ubiquitous in nature and in an artificial worl...

0 Hao Xiong, et al. ∙

research

∙ 03/27/2021

A comparison of two approaches for measuring interdisciplinary research output: the disciplinary diversity of authors vs the disciplinary diversity of the reference list

This study investigates the convergence of two bibliometric approaches t...

0 Giovanni Abramo, et al. ∙

Lin Zhang

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