b'Kai Wang'

research

∙ 06/07/2022

One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift

In this paper, we investigate open-set recognition with domain shift, wh...

Shiqi Yang, et al. ∙

research

∙ 05/31/2022

Skeleton-based Action Recognition via Temporal-Channel Aggregation

Skeleton-based action recognition methods are limited by the semantic ex...

Shengqin Wang, et al. ∙

research

∙ 05/31/2022

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation

Effectively integrating multi-scale information is of considerable signi...

Along He, et al. ∙

research

∙ 05/30/2022

Optimistic Whittle Index Policy: Online Learning for Restless Bandits

Restless multi-armed bandits (RMABs) extend multi-armed bandits to allow...

Kai Wang, et al. ∙

research

∙ 05/28/2022

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...

Jianfei Yang, et al. ∙

research

∙ 05/27/2022

Architecture-Agnostic Masked Image Modeling – From ViT back to CNN

Masked image modeling (MIM), an emerging self-supervised pre-training me...

Siyuan Li, et al. ∙

research

∙ 05/23/2022

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders

Face recognition, as one of the most successful applications in artifici...

Kai Wang, et al. ∙

research

∙ 05/09/2022

Local Prediction Aggregation: A Frustratingly Easy Source-free Domain Adaptation Method

We propose a simple but effective source-free domain adaptation (SFDA) m...

Shiqi Yang, et al. ∙

research

∙ 05/02/2022

A Novel Speech-Driven Lip-Sync Model with CNN and LSTM

Generating synchronized and natural lip movement with speech is one of t...

Xiaohong Li, et al. ∙

research

∙ 04/30/2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels

Learning with noisy labels has aroused much research interest since data...

Kai Wang, et al. ∙

research

∙ 04/26/2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

Recent years have witnessed the great accuracy performance of graph-base...

Minghao Zhao, et al. ∙

research

∙ 04/23/2022

Smoothed Online Combinatorial Optimization Using Imperfect Predictions

Smoothed online combinatorial optimization considers a learner who repea...

Kai Wang, et al. ∙

research

∙ 04/20/2022

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations

The COVID-19 pandemic has been severely impacting global society since D...

Qingyu Chen, et al. ∙

research

∙ 04/14/2022

Multi-label topic classification for COVID-19 literature with Bioformer

We describe Bioformer team's participation in the multi-label topic clas...

Li Fang, et al. ∙

research

∙ 04/01/2022

Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging

Objective: Estimation of the global optima of multiple model parameters ...

Hongmei Zhang, et al. ∙

research

∙ 03/07/2022

MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning

The key challenge of zero-shot learning (ZSL) is how to infer the latent...

Shiming Chen, et al. ∙

research

∙ 03/03/2022

CAFE: Learning to Condense Dataset by Aligning Features

Dataset condensation aims at reducing the network training effort throug...

Kai Wang, et al. ∙

research

∙ 03/01/2022

Improving Non-native Word-level Pronunciation Scoring with Phone-level Mixup Data Augmentation and Multi-source Information

Deep learning-based pronunciation scoring models highly rely on the avai...

Kaiqi Fu, et al. ∙

research

∙ 02/07/2022

Crafting Better Contrastive Views for Siamese Representation Learning

Recent self-supervised contrastive learning methods greatly benefit from...

Xiangyu Peng, et al. ∙

research

∙ 01/03/2022

Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings

Knowledge graph embedding (KGE) has drawn great attention due to its pot...

Kai Wang, et al. ∙

research

∙ 12/10/2021

Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms

Realistic 3D indoor scene datasets have enabled significant recent progr...

Kai Wang, et al. ∙

research

∙ 12/01/2021

The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts

We present the Shape Part Slot Machine, a new method for assembling nove...

Kai Wang, et al. ∙

research

∙ 11/09/2021

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition

Most meta-learning approaches assume the existence of a very large set o...

Kai Wang, et al. ∙

research

∙ 10/27/2021

MutFormer: A context-dependent transformer-based model to predict pathogenic missense mutations

A missense mutation is a point mutation that results in a substitution o...

Theodore Jiang, et al. ∙

research

∙ 10/21/2021

HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification

Human beings learn and accumulate hierarchical knowledge over their life...

Kai Wang, et al. ∙

research

∙ 10/18/2021

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System

Reinforcement learning based recommender systems (RL-based RS) aims at l...

Kai Wang, et al. ∙

research

∙ 10/13/2021

Feudal Reinforcement Learning by Reading Manuals

Reading to act is a prevalent but challenging task which requires the ab...

Kai Wang, et al. ∙

research

∙ 07/07/2021

Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling

There is significant interest in learning and optimizing a complex syste...

Kai Wang, et al. ∙

research

∙ 06/06/2021

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning

In the predict-then-optimize framework, the objective is to train a pred...

Kai Wang, et al. ∙

research

∙ 06/06/2021

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games

A growing body of work in game theory extends the traditional Stackelber...

Kai Wang, et al. ∙

research

∙ 05/21/2021

An Efficient Training Approach for Very Large Scale Face Recognition

Face recognition has achieved significant progress in deep-learning era ...

Kai Wang, et al. ∙

research

∙ 05/18/2021

ACAE-REMIND for Online Continual Learning with Compressed Feature Replay

Online continual learning aims to learn from a non-IID stream of data fr...

Kai Wang, et al. ∙

research

∙ 05/13/2021

A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations

The idea of using a Reconfigurable Intelligent Surface (RIS) consisting ...

Zipeng Wang, et al. ∙

research

∙ 04/23/2021

Learning to Cluster Faces via Transformer

Face clustering is a useful tool for applications like automatic face an...

Jinxing Ye, et al. ∙

research

∙ 04/14/2021

Continual learning in cross-modal retrieval

Multimodal representations and continual learning are two areas closely ...

Kai Wang, et al. ∙

research

∙ 04/12/2021

Personalized Bundle Recommendation in Online Games

In business domains, bundling is one of the most important marketing str...

Qilin Deng, et al. ∙

research

∙ 04/07/2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

In recent years, there are great interests as well as challenges in appl...

Kai Wang, et al. ∙

research

∙ 03/27/2021

High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings

Recent knowledge graph embedding (KGE) models based on hyperbolic geomet...

Kai Wang, et al. ∙

research

∙ 03/18/2021

TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain

In this paper, we propose a transformer-based architecture, called two-s...

Kai Wang, et al. ∙

research

∙ 03/08/2021

On Implicit Attribute Localization for Generalized Zero-Shot Learning

Zero-shot learning (ZSL) aims to discriminate images from unseen classes...

Shiqi Yang, et al. ∙

research

∙ 02/28/2021

RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials

The prospects of using a Reconfigurable Intelligent Surface (RIS) to aid...

Xilong Pei, et al. ∙

research

∙ 02/16/2021

A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection

In ophthalmology, early fundus screening is an economic and effective wa...

Ning Li, et al. ∙

research

∙ 01/25/2021

Applications of Deep Learning in Fundus Images: A Review

The use of fundus images for the early screening of eye diseases is of g...

Tao Li, et al. ∙

research

∙ 12/27/2020

Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition

The audio-video based emotion recognition aims to classify a given video...

Hengshun Zhou, et al. ∙

research

∙ 12/20/2020

AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction

In this paper, we consider the Click-Through-Rate (CTR) prediction probl...

Kai Wang, et al. ∙

research

∙ 12/18/2020

AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition

The domain diversities including inconsistent annotation and varied imag...

Kai Wang, et al. ∙

research

∙ 12/02/2020

PiPoMonitor: Mitigating Cross-core Cache Attacks Using the Auto-Cuckoo Filter

Cache side channel attacks obtain victim cache line access footprint to ...

Fengkai Yuan, et al. ∙

research

∙ 11/23/2020

Interpretable Visual Reasoning via Induced Symbolic Space

We study the problem of concept induction in visual reasoning, i.e., ide...

Zhonghao Wang, et al. ∙

research

∙ 11/17/2020

Efficient and Effective Community Search on Large-scale Bipartite Graphs

Bipartite graphs are widely used to model relationships between two type...

Kai Wang, et al. ∙

research

∙ 10/30/2020

Revisiting Graph Neural Networks for Link Prediction

Graph neural networks (GNNs) have achieved great success in recent years...

Muhan Zhang, et al. ∙

Kai Wang

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