Search Results for author: Yan Wang

Found 183 papers, 67 papers with code

Enabling Deep Residual Networks for Weakly Supervised Object Detection

no code implementations ECCV 2020 Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu

Weakly supervised object detection (WSOD) has attracted extensive research attention due to its great flexibility of exploiting large-scale image-level annotation for detector training.

object-detection Weakly Supervised Object Detection

Automatic Prosody Annotation with Pre-Trained Text-Speech Model

1 code implementation16 Jun 2022 Ziqian Dai, Jianwei Yu, Yan Wang, Nuo Chen, Yanyao Bian, Guangzhi Li, Deng Cai, Dong Yu

Prosodic boundary plays an important role in text-to-speech synthesis (TTS) in terms of naturalness and readability.

Speech Synthesis Text-To-Speech Synthesis

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

no code implementations22 May 2022 Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal

In recent years, sequential recommender systems (SRSs) and session-based recommender systems (SBRSs) have emerged as a new paradigm of RSs to capture users' short-term but dynamic preferences for enabling more timely and accurate recommendations.

Session-Based Recommendations

A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting

1 code implementation20 May 2022 Weiguo Zhu, Yongqi Sun, Xintong Yi, Yan Wang

Using SCorr, we propose a novel correlation information-based spatiotemporal network (CorrSTN), including a dynamic graph neural network component incorporating correlation information into the spatial structure effectively and a multi-head attention component utilizing spatial correlation information to extract dynamic temporal dependencies accurately.

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 May 2022 Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.

Image Super-Resolution Single Image Super Resolution

Effectively Using Long and Short Sessions for Multi-Session-based Recommendations

no code implementations9 May 2022 Zihan Wang, Gang Wu, Yan Wang

The RNN often used in previous work is not suitable to process short sessions, because RNN only focuses on the sequential relationship, which we find is not the only relationship between items in short sessions.

Session-Based Recommendations

Language Models Can See: Plugging Visual Controls in Text Generation

2 code implementations5 May 2022 Yixuan Su, Tian Lan, Yahui Liu, Fangyu Liu, Dani Yogatama, Yan Wang, Lingpeng Kong, Nigel Collier

MAGIC is a flexible framework and is theoretically compatible with any text generation tasks that incorporate image grounding.

Image Captioning Story Generation +1

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution

1 code implementation19 Apr 2022 Yan Wang

With the recently massive development in convolution neural networks, numerous lightweight CNN-based image super-resolution methods have been proposed for practical deployments on edge devices.

Image Super-Resolution

Adaptive Frequency Learning in Two-branch Face Forgery Detection

no code implementations27 Mar 2022 Neng Wang, Yang Bai, Kun Yu, Yong Jiang, Shu-Tao Xia, Yan Wang

Face forgery has attracted increasing attention in recent applications of computer vision.

Weakly-Supervised Salient Object Detection Using Point Supervison

1 code implementation22 Mar 2022 Shuyong Gao, Wei zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang

Then we develop a transformer-based point-supervised saliency detection model to produce the first round of saliency maps.

object-detection Object Detection +2

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

no code implementations CVPR 2022 Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang

Recently, learned image compression techniques have achieved remarkable performance, even surpassing the best manually designed lossy image coders.

Image Compression

ContrastMask: Contrastive Learning to Segment Every Thing

1 code implementation CVPR 2022 Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen

In this framework, annotated masks of seen categories and pseudo masks of unseen categories serve as a prior for contrastive learning, where features from the mask regions (foreground) are pulled together, and are contrasted against those from the background, and vice versa.

Instance Segmentation Semi-Supervised Instance Segmentation

Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition

no code implementations16 Feb 2022 Yimu Wang, Kun Yu, Yan Wang, Hui Xue

In this paper, to extract a better feature for advancing the performance, we propose a novel method, namely multi-view fusion transformer (MVFT) along with a novel attention mechanism.

Human Activity Recognition Time Series

Post-Training Quantization for Cross-Platform Learned Image Compression

no code implementations15 Feb 2022 Dailan He, Ziming Yang, Yuan Chen, Qi Zhang, Hongwei Qin, Yan Wang

It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.

Image Compression Quantization

A Survey on Retrieval-Augmented Text Generation

no code implementations2 Feb 2022 Huayang Li, Yixuan Su, Deng Cai, Yan Wang, Lemao Liu

Recently, retrieval-augmented text generation attracted increasing attention of the computational linguistics community.

Machine Translation Response Generation +2

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

1 code implementation1 Feb 2022 Liang Liao, Sen Lin, Lun Li, Xiuwei Zhang, Song Zhao, Yan Wang, Xinqiang Wang, Qi Gao, Jingyu Wang

Higher order singular value decomposition (HOSVD) extends the SVD and can approximate higher order data using sums of a few rank-one components.

Protum: A New Method For Prompt Tuning Based on "[MASK]"

no code implementations28 Jan 2022 Pan He, Yuxi Chen, Yan Wang, Yanru Zhang

In response to the above issue, we propose a new \textbf{Pro}mpt \textbf{Tu}ning based on "[\textbf{M}ASK]" (\textbf{Protum}) method in this paper, which constructs a classification task through the information carried by the hidden layer of "[MASK]" tokens and then predicts the labels directly rather than the answer tokens.

Language Modelling

Deep Residual Fourier Transformation for Single Image Deblurring

1 code implementation23 Nov 2021 Xintian Mao, Yiming Liu, Wei Shen, Qingli Li, Yan Wang

It has been a common practice to adopt the ResBlock, which learns the difference between blurry and sharp image pairs, in end-to-end image deblurring architectures.

Deblurring Image Deblurring +1

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

no code implementations14 Oct 2021 Hangcheng Dong, Jingxiao Liao, Yan Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu

Our main contributions are that we propose the theorems to characterize the optimal solution of the PWLA problem and present the LNN method for solving it.

Exploring Dense Retrieval for Dialogue Response Selection

1 code implementation13 Oct 2021 Tian Lan, Deng Cai, Yan Wang, Yixuan Su, Heyan Huang, Xian-Ling Mao

In this study, we present a solution to directly select proper responses from a large corpus or even a nonparallel corpus that only consists of unpaired sentences, using a dense retrieval model.

Conversational Response Selection

Fixed Neural Network Steganography: Train the images, not the network

no code implementations ICLR 2022 Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q Weinberger

Recent attempts at image steganography make use of advances in deep learning to train an encoder-decoder network pair to hide and retrieve secret messages in images.

Image Steganography

Post-Training Quantization Is All You Need to Perform Cross-Platform Learned Image Compression

no code implementations29 Sep 2021 Dailan He, Ziming Yang, Yan Wang, Yuan Chen, Qi Zhang, Hongwei Qin

It has been witnessed that learned image compression has outperformed conventional image coding techniques and tends to be practical in industrial applications.

Image Compression Quantization

OMPQ: Orthogonal Mixed Precision Quantization

1 code implementation16 Sep 2021 Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Yunsheng Wu, Guannan Jiang, Wei zhang, Rongrong Ji

Instead of solving a problem of the original integer programming, we propose to optimize a proxy metric, the concept of network orthogonality, which is highly correlated with the loss of the integer programming but also easy to optimize with linear programming.

AutoML Quantization

Transductive Learning for Unsupervised Text Style Transfer

1 code implementation EMNLP 2021 Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, HuaWei Shen, Xueqi Cheng

The proposed transductive learning approach is general and effective to the task of unsupervised style transfer, and we will apply it to the other two typical methods in the future.

Style Transfer Text Style Transfer +1

Stylistic Retrieval-based Dialogue System with Unparallel Training Data

no code implementations12 Sep 2021 Hao Fu, Yan Wang, Ruihua Song, Tianran Hu, Jianyun Nie

The ability of a dialog system to express consistent language style during conversations has a direct, positive impact on its usability and on user satisfaction.

Chatbot Data Augmentation +1

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques

1 code implementation11 Sep 2021 Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan Yuille, Philip H. S. Torr, DaCheng Tao

Thus, we propose RobustART, the first comprehensive Robustness investigation benchmark on ImageNet regarding ARchitecture design (49 human-designed off-the-shelf architectures and 1200+ networks from neural architecture search) and Training techniques (10+ techniques, e. g., data augmentation) towards diverse noises (adversarial, natural, and system noises).

Adversarial Robustness Data Augmentation +1

MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers

1 code implementation2 Sep 2021 Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs.

Real World Robustness from Systematic Noise

no code implementations2 Sep 2021 Yan Wang, Yuhang Li, Ruihao Gong

Systematic error, which is not determined by chance, often refers to the inaccuracy (involving either the observation or measurement process) inherent to a system.

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

no code implementations30 Aug 2021 Lingyun Feng, Jianwei Yu, Deng Cai, Songxiang Liu, Haitao Zheng, Yan Wang

%To facilitate the research on ASR-robust general language understanding, In this paper, we propose ASR-GLUE benchmark, a new collection of 6 different NLU tasks for evaluating the performance of models under ASR error across 3 different levels of background noise and 6 speakers with various voice characteristics.

Automatic Speech Recognition Data Augmentation +1

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

no code implementations18 Aug 2021 Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu

Moreover, to avoid negative transfer, we further propose a Personalized training strategy to minimize the embedding difference of common entities between a richer dataset and a sparser dataset, deriving three new models, i. e., GA-DTCDR-P, GA-MTCDR-P, and GA-CDR+CSR-P, for the three scenarios respectively.

Graph Embedding

Next-item Recommendations in Short Sessions

no code implementations15 Jul 2021 Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang

The obtained similar sessions are then utilized to complement and optimize the preference representation learned from the current short session by the local module for more accurate next-item recommendations in this short session.

Few-Shot Learning Recommendation Systems

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

1 code implementation4 Jun 2021 Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

Motivated by the necessity of efficient inference across various constraints on BERT, we propose a novel approach, YOCO-BERT, to achieve compress once and deploy everywhere.

AutoML Model Compression +1

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

no code implementations31 May 2021 Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille

We instantiate both the global and the local classifiers by multiple instance learning (MIL), where the attention guidance, indicating roughly where the PDAC regions are, is the key to bridging them: For global MIL based normal/PDAC classification, attention serves as a weight for each instance (voxel) during MIL pooling, which eliminates the distraction from the background; For local MIL based semi-supervised PDAC segmentation, the attention guidance is inductive, which not only provides bag-level pseudo-labels to training data without per-voxel annotations for MIL training, but also acts as a proxy of an instance-level classifier.

Multiple Instance Learning

Optimal Estimator Design and Properties Analysis for Interconnected Systems with Asymmetric Information Structure

no code implementations21 May 2021 Yan Wang, Junlin Xiong, Zaiyue Yang, Rong Su

We found that there exists a critical probability such that the EEC is bounded if the delay probability is below the critical probability.

Graph Learning based Recommender Systems: A Review

1 code implementation13 May 2021 Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

Recent years have witnessed the fast development of the emerging topic of Graph Learning based Recommender Systems (GLRS).

Collaborative Filtering Graph Learning +1

Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis

no code implementations6 May 2021 Yuchen Fei, Bo Zhan, Mei Hong, Xi Wu, Jiliu Zhou, Yan Wang

To take full advantage of the complementary information provided by different modalities, multi-modal MRI sequences are utilized as input.

Disentanglement Image Generation

ISTR: End-to-End Instance Segmentation with Transformers

1 code implementation3 May 2021 Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji

However, such an upgrade is not applicable to instance segmentation, due to its significantly higher output dimensions compared to object detection.

Instance Segmentation object-detection +2

Distributed Eco-Driving Algorithm of Vehicle Platoon Using Traffic Light and Road Slope Information

no code implementations26 Apr 2021 Yan Wang, Rong Su, Wei Wang, Xiaoxu Liu, Bohui Wang

This paper investigates the problem of ecological driving (eco-driving) of vehicle platoons.

Lottery Jackpots Exist in Pre-trained Models

2 code implementations18 Apr 2021 Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Ke Li, Yunhang Shen, Yongjian Wu, Rongrong Ji

In this paper, we show that high-performing and sparse sub-networks without the involvement of weight tuning, termed "lottery jackpots", exist in pre-trained models with unexpanded width.

Network Pruning

Sketch and Customize: A Counterfactual Story Generator

1 code implementation2 Apr 2021 Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng

In the sketch stage, a skeleton is extracted by removing words which are conflict to the counterfactual condition, from the original ending.

Text Generation

Checkerboard Context Model for Efficient Learned Image Compression

2 code implementations CVPR 2021 Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin

To the best of our knowledge, this is the first exploration on parallelization-friendly spatial context model for learned image compression.

Image Compression

Distilling a Powerful Student Model via Online Knowledge Distillation

1 code implementation26 Mar 2021 Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji

Besides, a self-distillation module is adopted to convert the feature map of deeper layers into a shallower one.

Knowledge Distillation

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation

1 code implementation5 Mar 2021 Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li

Hyperspectral imaging (HSI) unlocks the huge potential to a wide variety of applications relied on high-precision pathology image segmentation, such as computational pathology and precision medicine.

Semantic Segmentation

Cross-Domain Recommendation: Challenges, Progress, and Prospects

no code implementations2 Mar 2021 Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

To address the long-standing data sparsity problem in recommender systems (RSs), cross-domain recommendation (CDR) has been proposed to leverage the relatively richer information from a richer domain to improve the recommendation performance in a sparser domain.

Recommendation Systems

Quantum Transport in Two-Dimensional WS$_2$ with High-Efficiency Carrier Injection Through Indium Alloy Contacts

no code implementations4 Feb 2021 Chit Siong Lau, Jing Yee Chee, Yee Sin Ang, Shi Wun Tong, Liemao Cao, Zi-En Ooi, Tong Wang, Lay Kee Ang, Yan Wang, Manish Chhowalla, Kuan Eng Johnson Goh

Here, temperature-dependent transfer length measurements are performed on chemical vapour deposition grown single-layer and bilayer WS$_2$ devices with indium alloy contacts.

Materials Science Mesoscale and Nanoscale Physics

Can Predominant Credible Information Suppress Misinformation in Crises? Empirical Studies of Tweets Related to Prevention Measures during COVID-19

no code implementations1 Feb 2021 Yan Wang, Shangde Gao, Wenyu Gao

Therefore, this research investigates the temporal correlations between credible information and misinformation, and whether predominant credible information can suppress misinformation for two prevention measures (i. e. topics), i. e. wearing masks and social distancing using tweets collected from February 15 to June 30, 2020.

Misinformation Time Series

Spreading dynamics of a 2SIH2R, rumor spreading model in the homogeneous network

no code implementations26 Jan 2021 Yan Wang, Feng Qing, Jian-Ping Chai, Ye-Peng Ni

In the era of the rapid development of the Internet, the threshold for information spreading has become lower.

Social and Information Networks Probability

Network Pruning using Adaptive Exemplar Filters

1 code implementation20 Jan 2021 Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye

Inspired by the face recognition community, we use a message passing algorithm Affinity Propagation on the weight matrices to obtain an adaptive number of exemplars, which then act as the preserved filters.

Face Recognition Network Pruning

PLUMENet: Efficient 3D Object Detection from Stereo Images

1 code implementation17 Jan 2021 Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun

In this paper we propose a model that unifies these two tasks and performs them in the same metric space.

3D Object Detection 3D Object Detection From Stereo Images +2

A Two Sub-problem Decomposition for the Optimal Design of Filterless Optical Networks

no code implementations4 Jan 2021 Brigitte Jaumard, Yan Wang

The first type of subproblem relies on the generation of filterless subnetworks while the second one takes care of their wavelength assignment.

Problem Decomposition Networking and Internet Architecture

AC-VAE: Learning Semantic Representation with VAE for Adaptive Clustering

no code implementations1 Jan 2021 Xingyu Xie, Minjuan Zhu, Yan Wang, Lei Zhang

Experimental evaluations show that the proposed method outperforms state-of-the-art representation learning methods in terms of neighbor clustering accuracy.

Classification General Classification +2

Dialogue Response Selection with Hierarchical Curriculum Learning

1 code implementation ACL 2021 Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, Yan Wang

As for IC, it progressively strengthens the model's ability in identifying the mismatching information between the dialogue context and a response candidate.

Conversational Response Selection

Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

no code implementations17 Dec 2020 Jun Zhou, Longfei Zheng, Chaochao Chen, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin

In this paper, we propose SPNN - a Scalable and Privacy-preserving deep Neural Network learning framework, from algorithmic-cryptographic co-perspective.

Privacy Preserving

Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation

no code implementations17 Dec 2020 Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang, Wei Bi

The multiplayer online battle arena (MOBA) games have become increasingly popular in recent years.

Complementary probe of dark matter blind spots by lepton colliders and gravitational waves

no code implementations7 Dec 2020 Yan Wang, Chong Sheng Li, Fa Peng Huang

We study how to unravel the dark matter blind spots by phase transition gravitational waves in synergy with collider signatures at electroweak one-loop level taking the inert doublet model as an example.

High Energy Physics - Phenomenology

A multi-objective optimization framework for on-line ridesharing systems

no code implementations7 Dec 2020 Hamed Javidi, Dan Simon, Ling Zhu, Yan Wang

The ultimate goal of ridesharing systems is to matchtravelers who do not have a vehicle with those travelers whowant to share their vehicle.

Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals

no code implementations SEMEVAL 2020 Weilong Chen, Yan Zhuang, Peng Wang, Feng Hong, Yan Wang, Yanru Zhang

The main purpose of this article is to state the effect of using different methods and models for counterfactual determination and detection of causal knowledge.

Counterfactual Detection

Inter-slice Context Residual Learning for 3D Medical Image Segmentation

1 code implementation28 Nov 2020 Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia

In this paper, we propose the 3D context residual network (ConResNet) for the accurate segmentation of 3D medical images.

Brain Tumor Segmentation Pancreas Segmentation +1

Learning Efficient GANs for Image Translation via Differentiable Masks and co-Attention Distillation

1 code implementation17 Nov 2020 Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji

The latter simultaneously distills informative attention maps from both the generator and discriminator of a pre-trained model to the searched generator, effectively stabilizing the adversarial training of our light-weight model.

Translation

Deep Learning Analysis and Age Prediction from Shoeprints

1 code implementation7 Nov 2020 Muhammad Hassan, Yan Wang, Di Wang, Daixi Li, Yanchun Liang, You Zhou, Dong Xu

We collected 100, 000 shoeprints of subjects ranging from 7 to 80 years old and used the data to develop a deep learning end-to-end model ShoeNet to analyze age-related patterns and predict age.

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease

no code implementations16 Oct 2020 Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang

With the increasing amounts of high-dimensional heterogeneous data to be processed, multi-modality feature selection has become an important research direction in medical image analysis.

feature selection General Classification

Rotated Binary Neural Network

2 code implementations NeurIPS 2020 Mingbao Lin, Rongrong Ji, Zihan Xu, Baochang Zhang, Yan Wang, Yongjian Wu, Feiyue Huang, Chia-Wen Lin

In this paper, for the first time, we explore the influence of angular bias on the quantization error and then introduce a Rotated Binary Neural Network (RBNN), which considers the angle alignment between the full-precision weight vector and its binarized version.

Binarization Quantization

Profile Consistency Identification for Open-domain Dialogue Agents

1 code implementation EMNLP 2020 Haoyu Song, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu

Maintaining a consistent attribute profile is crucial for dialogue agents to naturally converse with humans.

Enhancing Dialogue Generation via Multi-Level Contrastive Learning

no code implementations19 Sep 2020 Xin Li, Piji Li, Yan Wang, Xiaojiang Liu, Wai Lam

Most of the existing works for dialogue generation are data-driven models trained directly on corpora crawled from websites.

Contrastive Learning Dialogue Generation

Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations

no code implementations15 Sep 2020 Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu

To address these problems, we propose a Stratified and Time-aware Sampling based Adaptive Ensemble Learning framework, called STS-AEL, to improve the accuracy of streaming recommendations.

Ensemble Learning Recommendation Systems

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

no code implementations14 Sep 2020 Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, Jia Wu

Therefore, finding an accurate mapping of the latent factors across domains or systems is crucial to enhancing recommendation accuracy.

Recommendation Systems

Double-Wing Mixture of Experts for Streaming Recommendations

no code implementations14 Sep 2020 Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang

In VRS-DWMoE, we first devise variational and reservoir-enhanced sampling to wisely complement new data with historical data, and thus address the user preference drift issue while capturing long-term user preferences.

Ensemble Learning Recommendation Systems

Developing and Improving Risk Models using Machine-learning Based Algorithms

no code implementations9 Sep 2020 Yan Wang, Xuelei Sherry Ni

The objective of this study is to develop a good risk model for classifying business delinquency by simultaneously exploring several machine learning based methods including regularization, hyper-parameter optimization, and model ensembling algorithms.

Improving Investment Suggestions for Peer-to-Peer (P2P) Lending via Integrating Credit Scoring into Profit Scoring

no code implementations9 Sep 2020 Yan Wang, Xuelei Sherry Ni

The studies have mainly focused on two categories to guide the lenders' investments: one aims at minimizing the risk of investment (i. e., the credit scoring perspective) while the other aims at maximizing the profit (i. e., the profit scoring perspective).

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

no code implementations25 Aug 2020 Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang

Therefore, it is crucial to design a participant selection algorithm that applies to different MCS systems to achieve multiple goals.

Combinatorial Optimization Fairness +1

Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport

no code implementations14 Aug 2020 Zelong Yang, Zhufeng Pan, Yan Wang, Deng Cai, Xiaojiang Liu, Shuming Shi, Shao-Lun Huang

With the rapid prevalence and explosive development of MOBA esports (Multiplayer Online Battle Arena electronic sports), much research effort has been devoted to automatically predicting game results (win predictions).

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation

1 code implementation ICCV 2021 Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim

To integrate the strengths of the two classifiers, we apply the well-established co-training framework, in which the two classifiers exchange their high confident predictions to iteratively "teach each other" so that both classifiers can excel in the target domain.

Unsupervised Domain Adaptation

srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications

no code implementations7 Jul 2020 Anh Tran, Mike Eldred, Scott McCann, Yan Wang

Finally, we couple the third GP along with the classical BO framework to promote the richness and diversity of the Pareto frontier by the exploitation and exploration acquisition function.

Gaussian Processes

Contextualized Emotion Recognition in Conversation as Sequence Tagging

no code implementations1 Jul 2020 Yan Wang, Jiayu Zhang, Jun Ma, Shaojun Wang, Jing Xiao

Emotion recognition in conversation (ERC) is an important topic for developing empathetic machines in a variety of areas including social opinion mining, health-care and so on.

Emotion Classification Emotion Recognition in Conversation +1

Graph-to-Tree Learning for Solving Math Word Problems

1 code implementation ACL 2020 Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim

While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities well.

Math Word Problem Solving

The 'Letter' Distribution in the Chinese Language

no code implementations26 May 2020 Qinghua Chen, Yan Wang, Mengmeng Wang, Xiaomeng Li

In addition, we collected Chinese literature corpora for different historical periods from the Tang Dynasty to the present, and we dismantled the Chinese written language into three kinds of basic particles: characters, strokes and constructive parts.

Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

no code implementations18 May 2020 Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille

In this paper, we present a novel unsupervised domain adaptation (UDA) method, named Domain Adaptive Relational Reasoning (DARR), to generalize 3D multi-organ segmentation models to medical data collected from different scanners and/or protocols (domains).

Relational Reasoning Super-Resolution +1

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation

no code implementations8 May 2020 Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quanzheng Sheng, Shoujin Wang, Xiaoshui Huang, Zhemei Yu

To mitigate this shortcoming, we propose a novel group equivariant segmentation framework by encoding those inherent symmetries for learning more precise representations.

Tumor Segmentation

A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture

no code implementations1 May 2020 Dehao Liu, Yan Wang

Data sparsity is a common issue to train machine learning tools such as neural networks for engineering and scientific applications, where experiments and simulations are expensive.

Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

1 code implementation26 Apr 2020 Hongwei Tang, Jean Rabault, Alexander Kuhnle, Yan Wang, Tongguang Wang

This paper focuses on the active flow control of a computational fluid dynamics simulation over a range of Reynolds numbers using deep reinforcement learning (DRL).

Fluid Dynamics

The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection

no code implementations EMNLP 2020 Zibo Lin, Deng Cai, Yan Wang, Xiaojiang Liu, Hai-Tao Zheng, Shuming Shi

Despite that response selection is naturally a learning-to-rank problem, most prior works take a point-wise view and train binary classifiers for this task: each response candidate is labeled either relevant (one) or irrelevant (zero).

Conversational Response Selection Learning-To-Rank +1

Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy

no code implementations5 Apr 2020 Yixuan Su, Deng Cai, Yan Wang, Simon Baker, Anna Korhonen, Nigel Collier, Xiaojiang Liu

To enable better balance between the content quality and the style, we introduce a new training strategy, know as Information-Guided Reinforcement Learning (IG-RL).

Dialogue Generation reinforcement-learning +1

Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory

no code implementations5 Apr 2020 Yixuan Su, Yan Wang, Simon Baker, Deng Cai, Xiaojiang Liu, Anna Korhonen, Nigel Collier

A stylistic response generator then takes the prototype and the desired language style as model input to obtain a high-quality and stylistic response.

Dialogue Generation Information Retrieval

Temporal Convolutional Attention-based Network For Sequence Modeling

1 code implementation28 Feb 2020 Hongyan Hao, Yan Wang, Yudi Xia, Jian Zhao, Furao Shen

So we propose an exploratory architecture referred to Temporal Convolutional Attention-based Network (TCAN) which combines temporal convolutional network and attention mechanism.

HRank: Filter Pruning using High-Rank Feature Map

2 code implementations CVPR 2020 Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao

The principle behind our pruning is that low-rank feature maps contain less information, and thus pruned results can be easily reproduced.

Network Pruning

Cross-dataset Training for Class Increasing Object Detection

1 code implementation14 Jan 2020 Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan

Given two or more already labeled datasets that target for different object classes, cross-dataset training aims to detect the union of the different classes, so that we do not have to label all the classes for all the datasets.

object-detection Object Detection

Sequential Recommender Systems: Challenges, Progress and Prospects

no code implementations28 Dec 2019 Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet Orgun

The emerging topic of sequential recommender systems has attracted increasing attention in recent years. Different from the conventional recommender systems including collaborative filtering and content-based filtering, SRSs try to understand and model the sequential user behaviors, the interactions between users and items, and the evolution of users preferences and item popularity over time.

Collaborative Filtering Recommendation Systems

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

no code implementations CVPR 2020 Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Tubular structure segmentation in medical images, e. g., segmenting vessels in CT scans, serves as a vital step in the use of computers to aid in screening early stages of related diseases.

Variational Structured Semantic Inference for Diverse Image Captioning

no code implementations NeurIPS 2019 Fuhai Chen, Rongrong Ji, Jiayi Ji, Xiaoshuai Sun, Baochang Zhang, Xuri Ge, Yongjian Wu, Feiyue Huang, Yan Wang

To model these two inherent diversities in image captioning, we propose a Variational Structured Semantic Inferring model (termed VSSI-cap) executed in a novel structured encoder-inferer-decoder schema.

Image Captioning

Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling

no code implementations13 Nov 2019 Mengying Zhu, Xiaolin Zheng, Yan Wang, Yuyuan Li, Qianqiao Liang

Also, by constructing multiple strategic arms, we can obtain the optimal investment portfolio to adapt different investment periods.

Decision Making

Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework

no code implementations IJCNLP 2019 Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi

End-to-end sequence generation is a popular technique for developing open domain dialogue systems, though they suffer from the \textit{safe response problem}.

Response Generation

Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration

no code implementations IJCNLP 2019 Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, Xiaojiang Liu

To facilitate the study of incomplete utterance restoration for open-domain dialogue systems, a large-scale multi-turn dataset Restoration-200K is collected and manually labeled with the explicit relation between an utterance and its context.

LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images

1 code implementation30 Oct 2019 Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell

We obtain 2-D segmentation predictions by applying Mask-RCNN to the RGB image, and then link this image to a 3-D lidar point cloud by building a graph of connections among 3-D points and 2-D pixels.

Point Cloud Segmentation Semantic Segmentation

Applications of Generative Adversarial Models in Visual Search Reformulation

no code implementations28 Oct 2019 Kyle Xiao, Houdong Hu, Yan Wang

Query reformulation is the process by which a input search query is refined by the user to match documents outside the original top-n results.

Metric Classification Network in Actual Face Recognition Scene

no code implementations25 Oct 2019 Jian Li, Yan Wang, Xiubao Zhang, Weihong Deng, Haifeng Shen

In this paper, we train a validation classifier to normalize the decision threshold, which means that the result can be obtained directly without replacing the threshold.

Classification Face Recognition +2

Hadamard Codebook Based Deep Hashing

no code implementations21 Oct 2019 Shen Chen, Liujuan Cao, Mingbao Lin, Yan Wang, Xiaoshuai Sun, Chenglin Wu, Jingfei Qiu, Rongrong Ji

Specifically, we utilize an off-the-shelf algorithm to generate a binary Hadamard codebook to satisfy the requirement of bit independence and bit balance, which subsequently serves as the desired outputs of the hash functions learning.

Image Retrieval

Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process

no code implementations4 Oct 2019 Yan Wang, Kensuke Harada, Weiwei Wan

Complex and skillful motions in actual assembly process are challenging for the robot to generate with existing motion planning approaches, because some key poses during the human assembly can be too skillful for the robot to realize automatically.

Motion Planning

Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

no code implementations3 Sep 2019 Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with an overall five-year survival rate of 8%.

Semi-Supervised Adversarial Monocular Depth Estimation

no code implementations6 Aug 2019 Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo

In this paper, we address the problem of monocular depth estimation when only a limited number of training image-depth pairs are available.

Monocular Depth Estimation

A systematic review of fuzzing based on machine learning techniques

no code implementations4 Aug 2019 Yan Wang, Peng Jia, Luping Liu, Jiayong Liu

Next, this paper assesses the performance of the machine learning models based on the frequently used evaluation metrics.

Deep Differentiable Random Forests for Age Estimation

no code implementations23 Jul 2019 Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo wang, Alan Yuille

Both of them connect split nodes to the top layer of convolutional neural networks (CNNs) and deal with inhomogeneous data by jointly learning input-dependent data partitions at the split nodes and age distributions at the leaf nodes.

Age Estimation

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

1 code implementation7 Jul 2019 Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta

Underwater images play a key role in ocean exploration, but often suffer from severe quality degradation due to light absorption and scattering in water medium.

Image Enhancement Image Restoration

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

no code implementations23 Jun 2019 Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan Yuille

Trauma is the worldwide leading cause of death and disability in those younger than 45 years, and pelvic fractures are a major source of morbidity and mortality.

Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms

no code implementations13 Mar 2019 Yan Wang, Xuelei Sherry Ni

We aim at developing and improving the imbalanced business risk modeling via jointly using proper evaluation criteria, resampling, cross-validation, classifier regularization, and ensembling techniques.

A Dynamic Model Identification Package for the da Vinci Research Kit

1 code implementation28 Feb 2019 Yan Wang, Radian Gondokaryono, Adnan Munawar, Gregory S Fischer

We developed a dynamic model identification package for the dVRK, capable of modeling the parallelograms, springs, counterweight, and tendon couplings, which are inherent to the dVRK.

Robotics

Risk Prediction of Peer-to-Peer Lending Market by a LSTM Model with Macroeconomic Factor

no code implementations13 Feb 2019 Yan Wang, Xuelei Sherry Ni

Our study can broaden the applications of the LSTM algorithm by using it on the sequential P2P data and guide the investors in making investment strategies.

Time Series

A Survey on Session-based Recommender Systems

1 code implementation13 Feb 2019 Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Defu Lian

In recent years, session-based recommender systems (SBRSs) have emerged as a new paradigm of RSs.

Collaborative Filtering Decision Making +1

A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization

no code implementations24 Jan 2019 Yan Wang, Xuelei Sherry Ni

TPE optimization shows a superiority over RS since it results in a significantly higher accuracy and a marginally higher AUC, recall and F1 score.

Feature Importance feature selection +1

An Automatic Interaction Detection Hybrid Model for Bankcard Response Classification

no code implementations2 Jan 2019 Yan Wang, Xuelei Sherry Ni, Brian Stone

In the first stage of the hybrid model, CHAID analysis is used to detect the possibly potential variable interactions.

General Classification

A two-stage hybrid model by using artificial neural networks as feature construction algorithms

no code implementations6 Dec 2018 Yan Wang, Xuelei Sherry Ni, Brian Stone

The hybrid model uses a very simple neural network structure as the new feature construction tool in the first stage, then the newly created features are used as the additional input variables in logistic regression in the second stage.

Robust Face Detection via Learning Small Faces on Hard Images

1 code implementation28 Nov 2018 Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo wang, Alan Yuille

In this paper, we propose that the robustness of a face detector against hard faces can be improved by learning small faces on hard images.

Face Detection

Translating a Math Word Problem to an Expression Tree

1 code implementation14 Nov 2018 Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu

Moreover, we analyze the performance of three popular SEQ2SEQ models on the math word problem solving.

Math Word Problem Solving

Anytime Stereo Image Depth Estimation on Mobile Devices

2 code implementations26 Oct 2018 Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger

Many applications of stereo depth estimation in robotics require the generation of accurate disparity maps in real time under significant computational constraints.

Stereo Depth Estimation

Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking

no code implementations19 Oct 2018 Brian H. Wang, Yan Wang, Kilian Q. Weinberger, Mark Campbell

We present a data association method for vision-based multiple pedestrian tracking, using deep convolutional features to distinguish between different people based on their appearances.

Person Re-Identification Translation

Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory

1 code implementation NAACL 2019 Deng Cai, Yan Wang, Victoria Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi

Such models rely on insufficient information for generating a specific response since a certain query could be answered in multiple ways.

Dialogue Generation Information Retrieval +2

Spectral Network Embedding: A Fast and Scalable Method via Sparsity

1 code implementation7 Jun 2018 Jie Zhang, Yan Wang, Jie Tang, Ming Ding

In this paper, we propose a $10\times \sim 100\times$ faster network embedding method, called Progle, by elegantly utilizing the sparsity property of online networks and spectral analysis.

Link Prediction Network Embedding +1

Generative Adversarial Learning Towards Fast Weakly Supervised Detection

no code implementations CVPR 2018 Yunhan Shen, Rongrong Ji, Shengchuan Zhang, WangMeng Zuo, Yan Wang

Without the need of annotating bounding boxes, the existing methods usually follow a two/multi-stage pipeline with an online compulsive stage to extract object proposals, which is an order of magnitude slower than fast fully supervised object detectors such as SSD [31] and YOLO [34].

object-detection Weakly Supervised Object Detection

Resource Aware Person Re-identification across Multiple Resolutions

1 code implementation CVPR 2018 Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger

Not all people are equally easy to identify: color statistics might be enough for some cases while others might require careful reasoning about high- and low-level details.

Person Re-Identification