b'Meng Wang'

research

∙ 05/03/2022

Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways

Real-time safety systems are crucial components of intelligent vehicles....

Xinwei Wang, et al. ∙

research

∙ 04/30/2022

ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization

Network quantization has emerged as a promising method for model compres...

Yangcheng Gao, et al. ∙

research

∙ 04/26/2022

A Review-aware Graph Contrastive Learning Framework for Recommendation

Most modern recommender systems predict users preferences with two compo...

Jie Shuai, et al. ∙

research

∙ 04/25/2022

Audio-Visual Scene Classification Using A Transfer Learning Based Joint Optimization Strategy

Recently, audio-visual scene classification (AVSC) has attracted increas...

Chengxin Chen, et al. ∙

research

∙ 04/21/2022

Decomposition Without Regret

Programming languages are embracing both functional and object-oriented ...

Weixin Zhang, et al. ∙

research

∙ 04/16/2022

FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring

Blind image deblurring (BID) remains a challenging and significant task....

Suiyi Zhao, et al. ∙

research

∙ 04/06/2022

Semi-DRDNet Semi-supervised Detail-recovery Image Deraining Network via Unpaired Contrastive Learning

The intricacy of rainy image contents often leads cutting-edge deraining...

Yiyang Shen, et al. ∙

research

∙ 04/06/2022

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation

As a step beyond traditional personalized recommendation, group recommen...

Tong Chen, et al. ∙

research

∙ 03/25/2022

EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition

Speech emotion recognition (SER) is a crucial research topic in human-co...

Haiyang Sun, et al. ∙

research

∙ 01/21/2022

How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

Self-training, a semi-supervised learning algorithm, leverages a large a...

Shuai Zhang, et al. ∙

research

∙ 01/06/2022

Compact Bidirectional Transformer for Image Captioning

Most current image captioning models typically generate captions from le...

Yuanen Zhou, et al. ∙

research

∙ 12/30/2021

TextRGNN: Residual Graph Neural Networks for Text Classification

Recently, text classification model based on graph neural network (GNN) ...

Jiayuan Chen, 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

∙ 12/09/2021

HBReID: Harder Batch for Re-identification

Triplet loss is a widely adopted loss function in ReID task which pulls ...

Wen Li, et al. ∙

research

∙ 12/08/2021

Uncovering the Local Hidden Community Structure in Social Networks

Hidden community is a useful concept proposed recently for social networ...

Meng Wang, et al. ∙

research

∙ 11/29/2021

Decoupled Low-light Image Enhancement

The visual quality of photographs taken under imperfect lightness condit...

Shijie Hao, et al. ∙

research

∙ 11/24/2021

CircuitFlow: A Domain Specific Language for Dataflow Programming (with appendices)

Dataflow applications, such as machine learning algorithms, can run for ...

Riley Evans, et al. ∙

research

∙ 11/20/2021

Learning Non-Stationary Time-Series with Dynamic Pattern Extractions

The era of information explosion had prompted the accumulation of a trem...

Xipei Wang, et al. ∙

research

∙ 10/12/2021

Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks

The lottery ticket hypothesis (LTH) states that learning on a properly p...

Shuai Zhang, et al. ∙

research

∙ 09/15/2021

Multi View Spatial-Temporal Model for Travel Time Estimation

Taxi arrival time prediction is an essential part of building intelligen...

Zichuan Liu, et al. ∙

research

∙ 09/12/2021

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning

Single-table text-to-SQL aims to transform a natural language question i...

Yongrui Chen, et al. ∙

research

∙ 08/31/2021

Synbit: Synthesizing Bidirectional Programs using Unidirectional Sketches

We propose a technique for synthesizing bidirectional programs from the ...

Masaomi Yamaguchi, et al. ∙

research

∙ 08/16/2021

ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

Vision-and-language pretraining (VLP) aims to learn generic multimodal r...

Yuhao Cui, et al. ∙

research

∙ 08/10/2021

TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization

Finding tampered regions in images is a hot research topic in machine le...

Zan Gao, et al. ∙

research

∙ 08/06/2021

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching

Sentence semantic matching requires an agent to determine the semantic r...

Kun Zhang, et al. ∙

research

∙ 07/12/2021

Few-shot Learning with Global Relatedness Decoupled-Distillation

Despite the success that metric learning based approaches have achieved ...

Yuan Zhou, et al. ∙

research

∙ 06/17/2021

Semi-Autoregressive Transformer for Image Captioning

Current state-of-the-art image captioning models adopt autoregressive de...

Yuanen Zhou, et al. ∙

research

∙ 06/09/2021

DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching

Sentence semantic matching requires an agent to determine the semantic r...

Kun Zhang, et al. ∙

research

∙ 06/08/2021

Harnessing Unrecognizable Faces for Face Recognition

The common implementation of face recognition systems as a cascade of a ...

Siqi Deng, et al. ∙

research

∙ 06/04/2021

Learning Elastic Embeddings for Customizing On-Device Recommenders

In today's context, deploying data-driven services like recommendation o...

Tong Chen, et al. ∙

research

∙ 06/03/2021

Deconfounded Video Moment Retrieval with Causal Intervention

We tackle the task of video moment retrieval (VMR), which aims to locali...

Xun Yang, et al. ∙

research

∙ 05/31/2021

Privileged Graph Distillation for Cold Start Recommendation

The cold start problem in recommender systems is a long-standing challen...

Shuai Wang, et al. ∙

research

∙ 05/16/2021

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation

As users often express their preferences with binary behavior data (impl...

Lei Chen, et al. ∙

research

∙ 05/05/2021

MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation

In this paper, we propose a new challenging task named as partial multi-...

Yuan Zhou, et al. ∙

research

∙ 05/02/2021

Spinner: Automated Dynamic Command Subsystem Perturbation

Injection attacks have been a major threat to web applications. Despite ...

Meng Wang, et al. ∙

research

∙ 04/27/2021

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation

Influenced by the stunning success of deep learning in computer vision a...

Le Wu, et al. ∙

research

∙ 04/05/2021

Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling

As a well-established approach, factorization machine (FM) is capable of...

Tong Chen, et al. ∙

research

∙ 04/01/2021

Positive Sample Propagation along the Audio-Visual Event Line

Visual and audio signals often coexist in natural environments, forming ...

Jinxing Zhou, et al. ∙

research

∙ 03/30/2021

Revisiting Deep Local Descriptor for Improved Few-Shot Classification

Few-shot classification studies the problem of quickly adapting a deep l...

Jun He, et al. ∙

research

∙ 02/26/2021

Spectral Top-Down Recovery of Latent Tree Models

Modeling the distribution of high dimensional data by a latent tree grap...

Yariv Aizenbud, et al. ∙

research

∙ 02/20/2021

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning

Model-agnostic meta-learning (MAML) has emerged as one of the most succe...

Ren Wang, et al. ∙

research

∙ 02/18/2021

Learning Fair Representations for Bipartite Graph based Recommendation

As a key application of artificial intelligence, recommender systems are...

Le Wu, et al. ∙

research

∙ 01/26/2021

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Prior highly-tuned image parsing models are usually studied in a certain...

Liang Lin, et al. ∙

research

∙ 01/11/2021

Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering

Deep multi-view clustering methods have achieved remarkable performance....

Renhao Sun, et al. ∙

research

∙ 12/30/2020

Sub-sampled Cross-component Prediction for Emerging Video Coding Standards

Cross-component linear model (CCLM) prediction has been repeatedly prove...

Junru Li, et al. ∙

research

∙ 12/16/2020

R^2-Net: Relation of Relation Learning Network for Sentence Semantic Matching

Sentence semantic matching is one of the fundamental tasks in natural la...

Kun Zhang, et al. ∙

research

∙ 11/18/2020

Positive-Congruent Training: Towards Regression-Free Model Updates

Reducing inconsistencies in the behavior of different versions of an AI ...

Sijie Yan, et al. ∙

research

∙ 11/12/2020

LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing

Spiking neural networks (SNNs) based on Leaky Integrate and Fire (LIF) m...

Zhenzhi Wu, et al. ∙

research

∙ 10/07/2020

Bias and Debias in Recommender System: A Survey and Future Directions

While recent years have witnessed a rapid growth of research papers on r...

Jiawei Chen, et al. ∙

research

∙ 10/06/2020

Online Action Detection in Streaming Videos with Time Buffers

We formulate the problem of online temporal action detection in live str...

Bowen Zhang, et al. ∙

Meng Wang

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