b'Yan Wang'

research

∙ 06/30/2022

Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

We propose Neural-DynamicReconstruction (NDR), a template-free method to...

Hongrui Cai, et al. ∙

research

∙ 06/21/2022

Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information

Image transformation, a class of vision and graphics problems whose goal...

Yuanjie Yan, et al. ∙

research

∙ 05/22/2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities

In recent years, sequential recommender systems (SRSs) and session-based...

Shoujin Wang, et al. ∙

research

∙ 05/20/2022

A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting

With the growth of transport modes, high traffic forecasting precision i...

Weiguo Zhu, et al. ∙

research

∙ 05/17/2022

Journey of Migrating Millions of Queries on The Cloud

Treasure Data is processing millions of distributed SQL queries every da...

Taro L. Saito, et al. ∙

research

∙ 05/08/2022

The saturated pairwise interaction Gibbs point process as a joint species distribution model

In an effort to effectively model observed patterns in the spatial confi...

Ian Flint, et al. ∙

research

∙ 04/19/2022

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution

With the recently massive development in convolution neural networks, nu...

Yan Wang, et al. ∙

research

∙ 04/16/2022

Towards Lightweight Transformer via Group-wise Transformation for Vision-and-Language Tasks

Despite the exciting performance, Transformer is criticized for its exce...

Gen Luo, et al. ∙

research

∙ 03/30/2022

Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain

JPEG is a popular image compression method widely used by individuals, d...

Lina Guo, et al. ∙

research

∙ 03/27/2022

Adaptive Frequency Learning in Two-branch Face Forgery Detection

Face forgery has attracted increasing attention in recent applications o...

Neng Wang, et al. ∙

research

∙ 03/22/2022

Weakly-Supervised Salient Object Detection Using Point Supervison

Current state-of-the-art saliency detection models rely heavily on large...

Shuyong Gao, et al. ∙

research

∙ 03/21/2022

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Recently, learned image compression techniques have achieved remarkable ...

Dailan He, et al. ∙

research

∙ 03/20/2022

Quantum Fluctuation-Response Inequality and Its Application in Quantum Hypothesis Testing

We uncover the quantum fluctuation-response inequality, which, in the mo...

Yan Wang, et al. ∙

research

∙ 03/18/2022

ContrastMask: Contrastive Learning to Segment Every Thing

Partially-supervised instance segmentation is a task which requests segm...

Xuehui Wang, et al. ∙

research

∙ 03/17/2022

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

Current benchmarks for facial expression recognition (FER) mainly focus ...

Yan Wang, et al. ∙

research

∙ 03/14/2022

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances

Affective computing plays a key role in human-computer interactions, ent...

Yan Wang, et al. ∙

research

∙ 02/15/2022

Post-Training Quantization for Cross-Platform Learned Image Compression

It has been witnessed that learned image compression has outperformed co...

Dailan He, et al. ∙

research

∙ 02/13/2022

A Contrastive Framework for Neural Text Generation

Text generation is of great importance to many natural language processi...

Yixuan Su, et al. ∙

research

∙ 02/02/2022

A Survey on Retrieval-Augmented Text Generation

Recently, retrieval-augmented text generation attracted increasing atten...

Huayang Li, et al. ∙

research

∙ 02/01/2022

Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra

Low-rank approximation of images via singular value decomposition is wel...

Liang Liao, et al. ∙

research

∙ 01/04/2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data

The spleen is one of the most commonly injured solid organs in blunt abd...

Yuyin Zhou, et al. ∙

research

∙ 12/24/2021

Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation

3D human pose and shape recovery from a monocular RGB image is a challen...

Zhiwei Liu, et al. ∙

research

∙ 12/17/2021

Nested Bayesian Optimization for Computer Experiments

Computer experiments can emulate the physical systems, help computationa...

Yan Wang, et al. ∙

research

∙ 11/23/2021

Deep Residual Fourier Transformation for Single Image Deblurring

It has been a common practice to adopt the ResBlock, which learns the di...

Xintian Mao, et al. ∙

research

∙ 10/14/2021

Training Neural Networks for Solving 1-D Optimal Piecewise Linear Approximation

Recently, the interpretability of deep learning has attracted a lot of a...

Hangcheng Dong, et al. ∙

research

∙ 10/13/2021

Exploring Dense Retrieval for Dialogue Response Selection

Recent research on dialogue response selection has been mainly focused o...

Tian Lan, et al. ∙

research

∙ 09/16/2021

OMPQ: Orthogonal Mixed Precision Quantization

To bridge the ever increasing gap between deep neural networks' complexi...

Yuexiao Ma, et al. ∙

research

∙ 09/16/2021

Transductive Learning for Unsupervised Text Style Transfer

Unsupervised style transfer models are mainly based on an inductive lear...

Fei Xiao, et al. ∙

research

∙ 09/16/2021

MHFC: Multi-Head Feature Collaboration for Few-Shot Learning

Few-shot learning (FSL) aims to address the data-scarce problem. A stand...

Shuai Shao, et al. ∙

research

∙ 09/12/2021

Stylistic Retrieval-based Dialogue System with Unparallel Training Data

The ability of a dialog system to express consistent language style duri...

Hao Fu, et al. ∙

research

∙ 09/11/2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques

Deep neural networks (DNNs) are vulnerable to adversarial noises, which ...

Shiyu Tang, et al. ∙

research

∙ 09/05/2021

Linear complexity over 𝔽_q and 2-adic complexity of a class of binary generalized cyclotomic sequences with low-value autocorrelation

A class of binary sequences with period 2p is constructed using generali...

Yan Wang, et al. ∙

research

∙ 09/02/2021

Real World Robustness from Systematic Noise

Systematic error, which is not determined by chance, often refers to the...

Yan Wang, et al. ∙

research

∙ 08/30/2021

ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding

Language understanding in speech-based systems have attracted much atten...

Lingyun Feng, et al. ∙

research

∙ 08/18/2021

A Unified Framework for Cross-Domain and Cross-System Recommendations

Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) ...

Feng Zhu, et al. ∙

research

∙ 07/15/2021

Next-item Recommendations in Short Sessions

The changing preferences of users towards items trigger the emergence of...

Wenzhuo Song, et al. ∙

research

∙ 06/11/2021

BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data

Maintaining consistent personas is essential for dialogue agents. Althou...

Haoyu Song, et al. ∙

research

∙ 06/04/2021

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient

Despite superior performance on various natural language processing task...

Shaokun Zhang, et al. ∙

research

∙ 05/31/2021

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Pancreatic ductal adenocarcinoma (PDAC) is the third most common cause o...

Yan Wang, et al. ∙

research

∙ 05/24/2021

Neural Machine Translation with Monolingual Translation Memory

Prior work has proved that Translation memory (TM) can boost the perform...

Deng Cai, et al. ∙

research

∙ 05/13/2021

Graph Learning based Recommender Systems: A Review

Recent years have witnessed the fast development of the emerging topic o...

Shoujin Wang, et al. ∙

research

∙ 05/03/2021

ISTR: End-to-End Instance Segmentation with Transformers

End-to-end paradigms significantly improve the accuracy of various deep-...

Jie Hu, et al. ∙

research

∙ 04/18/2021

Lottery Jackpots Exist in Pre-trained Models

Network pruning is an effective approach to reduce network complexity wi...

Yuxin Zhang, et al. ∙

research

∙ 04/02/2021

Sketch and Customize: A Counterfactual Story Generator

Recent text generation models are easy to generate relevant and fluent t...

Changying Hao, et al. ∙

research

∙ 03/29/2021

Checkerboard Context Model for Efficient Learned Image Compression

For learned image compression, the autoregressive context model is prove...

Dailan He, et al. ∙

research

∙ 03/26/2021

Distilling a Powerful Student Model via Online Knowledge Distillation

Existing online knowledge distillation approaches either adopt the stude...

Shaojie Li, et al. ∙

research

∙ 03/26/2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection

Self-driving cars must detect other vehicles and pedestrians in 3D to pl...

Yurong You, et al. ∙

research

∙ 03/10/2021

Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning

Robotic assembly tasks involve complex and low-clearance insertion traje...

Yan Wang, et al. ∙

research

∙ 03/05/2021

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety...

Boxiang Yun, et al. ∙

research

∙ 03/02/2021

Cross-Domain Recommendation: Challenges, Progress, and Prospects

To address the long-standing data sparsity problem in recommender system...

Feng Zhu, et al. ∙

Yan Wang

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