Search Results for author: Bin Wang

Found 246 papers, 81 papers with code

A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval

no code implementations ECCV 2020 Bin Wang, Yongsheng Gao

While conducting the trace transform once only generates a single feature and multiple trace transforms of different functionals are needed to derive more to make the descriptors informative.


BIT-Xiaomi’s System for AutoSimTrans 2022

no code implementations NAACL (AutoSimTrans) 2022 Mengge Liu, Xiang Li, Bao Chen, Yanzhi Tian, Tianwei Lan, Silin Li, Yuhang Guo, Jian Luan, Bin Wang

This system paper describes the BIT-Xiaomi simultaneous translation system for Autosimtrans 2022 simultaneous translation challenge.

Chunking Data Augmentation +1

C^3KG: A Chinese Commonsense Conversation Knowledge Graph

1 code implementation Findings (ACL) 2022 Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.

Maximal Clique Based Non-Autoregressive Open Information Extraction

no code implementations EMNLP 2021 Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang

However, the popular OpenIE systems usually output facts sequentially in the way of predicting the next fact conditioned on the previous decoded ones, which enforce an unnecessary order on the facts and involve the error accumulation between autoregressive steps.

Open Information Extraction

Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training

1 code implementation COLING 2022 Zhongjian Miao, Xiang Li, Liyan Kang, Wen Zhang, Chulun Zhou, Yidong Chen, Bin Wang, Min Zhang, Jinsong Su

Most existing methods on robust neural machine translation (NMT) construct adversarial examples by injecting noise into authentic examples and indiscriminately exploit two types of examples.

Machine Translation NMT +1

Knowledge Graph Embedding: An Overview

no code implementations21 Sep 2023 Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo

We will also discuss an emerging approach for KG completion which leverages pre-trained language models (PLMs) and textual descriptions of entities and relations and offer insights into the integration of KGE embedding methods with PLMs for KG completion.

Knowledge Graph Embedding Link Prediction

Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning

no code implementations19 Sep 2023 Yi Ren, Ying Du, Bin Wang, Shenzheng Zhang

Recommender systems usually leverage multi-task learning methods to simultaneously optimize several objectives because of the multi-faceted user behavior data.

Multi-Task Learning Recommendation Systems

What Makes Good Open-Vocabulary Detector: A Disassembling Perspective

no code implementations1 Sep 2023 Jincheng Li, Chunyu Xie, Xiaoyu Wu, Bin Wang, Dawei Leng

A two-stage object detector includes a visual backbone, a region proposal network (RPN), and a region of interest (RoI) head.

object-detection Object Detection +1

AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations

no code implementations30 Aug 2023 Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo

Previously, KG embedding (KGE) methods tried to solve the KGET task by introducing an auxiliary relation, 'hasType', to model the relationship between entities and their types.

Entity Typing Knowledge Graphs +1

MLLM-DataEngine: An Iterative Refinement Approach for MLLM

1 code implementation25 Aug 2023 Zhiyuan Zhao, Linke Ouyang, Bin Wang, Siyuan Huang, Pan Zhang, Xiaoyi Dong, Jiaqi Wang, Conghui He

Despite the great advance of Multimodal Large Language Models (MLLMs) in both instruction dataset building and benchmarking, the independence of training and evaluation makes current MLLMs hard to further improve their capability under the guidance of evaluation results with a relatively low human cost.


Deep Reinforcement Learning-driven Cross-Community Energy Interaction Optimal Scheduling

no code implementations24 Aug 2023 Yang Li, Wenjie Ma, Fanjin Bu, Zhen Yang, Bin Wang, Meng Han

In order to coordinate energy interactions among various communities and energy conversions among multi-energy subsystems within the multi-community integrated energy system under uncertain conditions, and achieve overall optimization and scheduling of the comprehensive energy system, this paper proposes a comprehensive scheduling model that utilizes a multi-agent deep reinforcement learning algorithm to learn load characteristics of different communities and make decisions based on this knowledge.

reinforcement-learning Scheduling

VIGC: Visual Instruction Generation and Correction

1 code implementation24 Aug 2023 Bin Wang, Fan Wu, Xiao Han, Jiahui Peng, Huaping Zhong, Pan Zhang, Xiaoyi Dong, Weijia Li, Wei Li, Jiaqi Wang, Conghui He

A practical solution to this problem would be to utilize the available multimodal large language models (MLLMs) to generate instruction data for vision-language tasks.

Image Captioning Language Modelling

WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models

1 code implementation21 Aug 2023 Conghui He, Zhenjiang Jin, Chao Xu, Jiantao Qiu, Bin Wang, Wei Li, Hang Yan, Jiaqi Wang, Dahua Lin

The rise in popularity of ChatGPT and GPT-4 has significantly accelerated the development of large models, leading to the creation of numerous impressive large language models(LLMs) and multimodal large language models (MLLMs).

Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation

1 code implementation ICCV 2023 Xueyi Liu, Bin Wang, He Wang, Li Yi

By observing an articulated object dataset containing only a few examples, we wish to learn a model that can generate diverse meshes with high visual fidelity and physical validity.


Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method

no code implementations19 Aug 2023 Xiangyang Zhu, Yiling Pan, Bailin Deng, Bin Wang

In this paper, we introduce a novel hybrid differentiable rendering method to efficiently reconstruct the 3D geometry and reflectance of a scene from multi-view images captured by conventional hand-held cameras.

Inverse Rendering

Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution

1 code implementation ICCV 2023 Guandu Liu, Yukang Ding, Mading Li, Ming Sun, Xing Wen, Bin Wang

To enlarge RF with contained LUT sizes, we propose a novel Reconstructed Convolution(RC) module, which decouples channel-wise and spatial calculation.

Image Super-Resolution

Impact of UAVs Equipped with ADS-B on the Civil Aviation Monitoring System

no code implementations4 Jul 2023 Yiyang Liao, Lei Zhang, Ziye Jia, Chao Dong, Yifan Zhang, Qihui Wu, Huiling Hu, Bin Wang

However, due to the limited frequency of ADS-B technique, UAVs equipped with ADS-B devices result in the loss of packets to both UAVs and civil aviation.


CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

no code implementations29 Jun 2023 Tianwen Wei, Jian Luan, Wei Liu, Shuang Dong, Bin Wang

We present the Chinese Elementary School Math Word Problems (CMATH) dataset, comprising 1. 7k elementary school-level math word problems with detailed annotations, source from actual Chinese workbooks and exams.

Language Modelling Math Word Problem Solving

Low-Confidence Samples Mining for Semi-supervised Object Detection

no code implementations28 Jun 2023 Guandu Liu, Fangyuan Zhang, Tianxiang Pan, Bin Wang

Reliable pseudo-labels from unlabeled data play a key role in semi-supervised object detection (SSOD).

object-detection Object Detection +1

Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization

1 code implementation26 Jun 2023 Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang

Naturally, such a paradigm raises three core questions that are \textit{not} fully answered by prior non-iterative offline RL counterparts like reward-conditioned policy: Q1) What information should we transfer from the inner-level to the outer-level?

Offline RL

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

no code implementations26 Jun 2023 Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo

To resolve these challenges, we cast the chip placement as an offline RL formulation and present ChiPFormer that enables learning a transferable placement policy from fixed offline data.

Offline RL Reinforcement Learning (RL)

Short-Term Voltage Security Constrained UC to Prevent Trip Faults in High Wind Power Penetrated Power Systems

no code implementations19 Jun 2023 Yinhong Lin, Bin Wang, Qinglai Guo, Haotian Zhao, Hongbin Sun

Due to the time delay in WTs' controllers, it is difficult for WTs alone to meet the reactive power demands in different stages of the transient process.


UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning

no code implementations18 Jun 2023 Kang Zhao, Wei Liu, Jian Luan, Minglei Gao, Li Qian, Hanlin Teng, Bin Wang

In this paper, we propose a Unified framework for Long-term Memory Conversations (UniMC), which increases the connection between different stages by learning relevance representation.

Representation Learning Retrieval

Universal Information Extraction with Meta-Pretrained Self-Retrieval

no code implementations18 Jun 2023 Xin Cong. Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang

Inspired by the fact that large amount of knowledge are stored in the pretrained language models~(PLM) and can be retrieved explicitly, in this paper, we propose MetaRetriever to retrieve task-specific knowledge from PLMs to enhance universal IE.


When Hyperspectral Image Classification Meets Diffusion Models: An Unsupervised Feature Learning Framework

no code implementations15 Jun 2023 Jingyi Zhou, Jiamu Sheng, Jiayuan Fan, Peng Ye, Tong He, Bin Wang, Tao Chen

Learning effective spectral-spatial features is important for the hyperspectral image (HSI) classification task, but the majority of existing HSI classification methods still suffer from modeling complex spectral-spatial relations and characterizing low-level details and high-level semantics comprehensively.

Classification Hyperspectral Image Classification

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

no code implementations31 May 2023 Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

Recently, diffusion model shines as a promising backbone for the sequence modeling paradigm in offline reinforcement learning(RL).

Reinforcement Learning (RL)

Exploring Better Text Image Translation with Multimodal Codebook

1 code implementation27 May 2023 Zhibin Lan, Jiawei Yu, Xiang Li, Wen Zhang, Jian Luan, Bin Wang, Degen Huang, Jinsong Su

Text image translation (TIT) aims to translate the source texts embedded in the image to target translations, which has a wide range of applications and thus has important research value.

Machine Translation Optical Character Recognition +2

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought

1 code implementation24 May 2023 Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo

In this work, we introduce EmbodiedGPT, an end-to-end multi-modal foundation model for embodied AI, empowering embodied agents with multi-modal understanding and execution capabilities.

Image Captioning Language Modelling +3

Pay More Attention to Relation Exploration for Knowledge Base Question Answering

no code implementations3 May 2023 Yong Cao, Xianzhi Li, Huiwen Liu, Wen Dai, Shuai Chen, Bin Wang, Min Chen, Daniel Hershcovich

In this study, we propose a novel framework, RE-KBQA, that utilizes relations in the knowledge base to enhance entity representation and introduce additional supervision.

Knowledge Base Question Answering Re-Ranking

GazeSAM: What You See is What You Segment

1 code implementation26 Apr 2023 Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci

This study investigates the potential of eye-tracking technology and the Segment Anything Model (SAM) to design a collaborative human-computer interaction system that automates medical image segmentation.

Image Segmentation Medical Image Segmentation +1

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8

1 code implementation13 Apr 2023 Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi

Real-time implementation of such systems is crucial for traffic surveillance and enforcement, however, most of these systems are not real-time.

object-detection Object Detection

Contrastive Cross-Domain Sequential Recommendation

1 code implementation8 Apr 2023 Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang

Cross-Domain Sequential Recommendation (CDSR) aims to predict future interactions based on user's historical sequential interactions from multiple domains.

Sequential Recommendation

V3Det: Vast Vocabulary Visual Detection Dataset

no code implementations ICCV 2023 Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin

To facilitate the development of more general visual object detection, we propose V3Det, a vast vocabulary visual detection dataset with precisely annotated bounding boxes on massive images.

Chatbot object-detection +1

Domain Generalization with Adversarial Intensity Attack for Medical Image Segmentation

no code implementations5 Apr 2023 Zheyuan Zhang, Bin Wang, Lanhong Yao, Ugur Demir, Debesh Jha, Ismail Baris Turkbey, Boqing Gong, Ulas Bagci

In real-world scenarios, however, it is common for models to encounter data from new and different domains to which they were not exposed to during training.

Domain Generalization Image Segmentation +2

Knowledge Graph Embedding with 3D Compound Geometric Transformations

no code implementations1 Apr 2023 Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo

The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, CompoundE.

Knowledge Graph Embedding Link Prediction +1

Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm

no code implementations1 Apr 2023 Jiankai Gao, Yang Li, Bin Wang, Haibo Wu

The implementation of a multi-microgrid (MMG) system with multiple renewable energy sources enables the facilitation of electricity trading.

AutoML energy management +3

Performance-aware Approximation of Global Channel Pruning for Multitask CNNs

1 code implementation21 Mar 2023 Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang

Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance.

Model Compression

A Spatio-temporal Decomposition Method for the Coordinated Economic Dispatch of Integrated Transmission and Distribution Grids

no code implementations17 Mar 2023 Qi Wang, Wenchuan Wu, Chenhui Lin, Bin Wang

In the spatial dimension, a multi-parametric programming projection based spatial decomposition algorithm is developed to coordinate the ED problems of TG and DNs in a distributed manner.

A Data Augmentation Method and the Embedding Mechanism for Detection and Classification of Pulmonary Nodules on Small Samples

no code implementations2 Mar 2023 Yang Liu, Yue-Jie Hou, Chen-Xin Qin, Xin-Hui Li, Si-Jing Li, Bin Wang, Chi-Chun Zhou

Result: The result of the 3DVNET model with the augmentation method for pulmonary nodule detection shows that the proposed data augmentation method outperforms the method based on generative adversarial network (GAN) framework, training accuracy improved by 1. 5%, and with embedding mechanism for pulmonary nodules classification shows that the embedding mechanism improves the accuracy and robustness for the classification of pulmonary nodules obviously, the model training accuracy is close to 1 and the model testing F1-score is 0. 90. Conclusion:he proposed data augmentation method and embedding mechanism are beneficial to improve the accuracy and robustness of the model, and can be further applied in other common diagnostic imaging tasks.

Data Augmentation Pulmonary Nodules Classification

Rethinking the Reasonability of the Test Set for Simultaneous Machine Translation

1 code implementation2 Mar 2023 Mengge Liu, Wen Zhang, Xiang Li, Jian Luan, Bin Wang, Yuhang Guo, Shuoying Chen

Simultaneous machine translation (SimulMT) models start translation before the end of the source sentence, making the translation monotonically aligned with the source sentence.

Machine Translation Translation

BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation

no code implementations17 Jan 2023 Xiangyu Qin, Zhiyu Wu, Jinshi Cui, Tingting Zhang, Yanran Li, Jian Luan, Bin Wang, Li Wang

Accordingly, we propose a novel paradigm, i. e., exploring contextual information and dialogue structure information in the fine-tuning step, and adapting the PLM to the ERC task in terms of input text, classification structure, and training strategy.

Emotion Recognition in Conversation text-classification +1

Analysis of November 21, 2021, Kaua`i Island Power System 18-20 Hz Oscillations

no code implementations13 Jan 2023 Shuan Dong, Bin Wang, Jin Tan, Cameron J. Kruse, Brad W. Rockwell, Anderson Hoke

This letter discusses the 18-20 Hz oscillation event at 05:30 am on November 21, 2021, in Kaua`i's power system following the trip of an oil power plant.

Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval

no code implementations ICCV 2023 Xin Chen, Bin Wang, Yongsheng Gao

Fine-grained leaf image retrieval (FGLIR) aims to search similar leaf images in subspecies level which involves very high interclass visual similarity and accordingly poses great challenges to leaf image description.

Binarization Image Retrieval +1

Domain Generalization with Correlated Style Uncertainty

1 code implementation20 Dec 2022 Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci

In this regard, style augmentation is a strong DG method taking advantage of instance-specific feature statistics containing informative style characteristics to synthetic novel domains.

Domain Generalization Retrieval

Relational Sentence Embedding for Flexible Semantic Matching

1 code implementation17 Dec 2022 Bin Wang, Haizhou Li

We present Relational Sentence Embedding (RSE), a new paradigm to further discover the potential of sentence embeddings.

Semantic Textual Similarity Sentence Embedding +1

Dilation-Erosion for Single-Frame Supervised Temporal Action Localization

1 code implementation13 Dec 2022 Bin Wang, Yan Song, Fanming Wang, Yang Zhao, Xiangbo Shu, Yan Rui

To balance the annotation labor and the granularity of supervision, single-frame annotation has been introduced in temporal action localization.

Temporal Action Localization

An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks

no code implementations7 Dec 2022 Bin Wang, Bing Xue, Mengjie Zhang

In this paper, inspired by transfer learning, a new evolutionary computation based framework is proposed to efficiently evolve CNNs without compromising the classification accuracy.

Transfer Learning

Optimal Allocation of Virtual Inertia and Droop Control for Renewable Energy in Stochastic Look-Ahead Power Dispatch

no code implementations30 Nov 2022 Yukang Shen, Wenchuan Wu, Shumin Sun, Bin Wang

To stabilize the frequency of the renewable energy sources (RESs) dominated power system, frequency supports are required by RESs through virtual inertia emulation or droop control in the newly published grid codes.


Towards Generalized Open Information Extraction

no code implementations29 Nov 2022 Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang

Open Information Extraction (OpenIE) facilitates the open-domain discovery of textual facts.

Open Information Extraction

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations

no code implementations28 Nov 2022 Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang

The evolved local explanations on four images, randomly selected from ImageNet, are presented, which show that the evolved local explanations are straightforward to be recognised by humans.

Image Classification

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning

no code implementations23 Nov 2022 Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

The latent world model provides a promising way to learn policies in a compact latent space for tasks with high-dimensional observations, however, its generalization across diverse environments with unseen dynamics remains challenging.

Model-based Reinforcement Learning reinforcement-learning +1

Structure-Unified M-Tree Coding Solver for MathWord Problem

1 code implementation22 Oct 2022 Bin Wang, Jiangzhou Ju, Yang Fan, Xinyu Dai, ShuJian Huang, Jiajun Chen

As one of the challenging NLP tasks, designing math word problem (MWP) solvers has attracted increasing research attention for the past few years.

Analyzing and Evaluating Faithfulness in Dialogue Summarization

1 code implementation21 Oct 2022 Bin Wang, Chen Zhang, Yan Zhang, Yiming Chen, Haizhou Li

The factual correctness of summaries has the highest priority before practical applications.

Text Summarization

Scene Text Image Super-Resolution via Content Perceptual Loss and Criss-Cross Transformer Blocks

no code implementations13 Oct 2022 Rui Qin, Bin Wang, Yu-Wing Tai

The CP Loss supervises the text reconstruction with content semantics by multi-scale text recognition features, which effectively incorporates content awareness into the framework.

Image Reconstruction Image Super-Resolution +1

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

1 code implementation9 Oct 2022 Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

This paper addresses such a challenge by Decomposed Mutual INformation Optimization (DOMINO) for context learning, which explicitly learns a disentangled context to maximize the mutual information between the context and historical trajectories, while minimizing the state transition prediction error.

Decision Making Meta Reinforcement Learning +2

Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation

1 code implementation30 Sep 2022 Dong Xiao, Zuoqiang Shi, Siyu Li, Bailin Deng, Bin Wang

In this work, we bridge orientation and reconstruction in the implicit space and propose a novel approach to orient point cloud normals by incorporating isovalue constraints to the Poisson equation.

Surface Reconstruction

A new hazard event classification model via deep learning and multifractal

no code implementations12 Sep 2022 Zhenhua Wang, Bin Wang, Ming Ren, Dong Gao

Then, a new multifractal analysis method termed HmF-DFA is proposed to win HaE fractal series by analyzing HaE time series.

Classification Time Series +1

Yes, DLGM! A novel hierarchical model for hazard classification

no code implementations10 Sep 2022 Zhenhua Wang, Ming Ren, Dong Gao, Bin Wang

In this paper, we propose a novel model termed DLGM via deep learning for hazard classification.

Classification Time Series +1

Flux Linkage Based Evaluation Method for Voltage Inertia and Voltage Recovery Capability Under Large Disturbances

no code implementations4 Sep 2022 Yinhong Lin, Huaichang Ge, Bin Wang, Qinglai Guo, Hongbin Sun

The voltage support effect of the two capabilities is analyzed based on the flux linkage and an approximate simulation of the fault impact.

GreenKGC: A Lightweight Knowledge Graph Completion Method

1 code implementation19 Aug 2022 Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo

Knowledge graph completion (KGC) aims to discover missing relationships between entities in knowledge graphs (KGs).

Edge-computing Link Prediction +2

Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement

1 code implementation ACMMM 2022 Yudong Liang, Bin Wang, Wenqi Ren, Jiaying Liu, Wenjian Wang, WangMeng Zuo

In various real-world image enhancement applications, the degradations are always non-uniform or non-homogeneous and diverse, which challenges most deep networks with fixed parameters during the inference phase.

Image Dehazing Low-Light Image Enhancement +1

AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding

no code implementations TMM 2022 Bin Wang, Chunsheng Liu, Faliang Chang, Wenqian Wang and Nanjun Li

Action recognition in video understanding is a challenging task, largely because of the complexity and difficulty in temporal modeling, making it suffer from motion information loss and misalignment of temporal attention in spatial dimensions.

Action Recognition Video Understanding

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

no code implementations16 Jul 2022 Xiaoyu Liang, Yaguan Qian, Jianchang Huang, Xiang Ling, Bin Wang, Chunming Wu, Wassim Swaileh

Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive decision boundary to increase the robustness of deep learning models.

Robust Network Architecture Search via Feature Distortion Restraining

1 code implementation ECCV 2022 Yaguan Qian, Shenghui Huang, Bin Wang, Xiang Ling, Xiaohui Guan, Zhaoquan Gu, Shaoning Zeng, WuJie Zhou, Haijiang Wang

This process is modeled as a multi-objective bilevel optimization problem and a novel algorithm is proposed to solve this optimization.

Bilevel Optimization

CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations

no code implementations12 Jul 2022 Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo

Since translation, rotation, and scaling operations are cascaded to form a compound one, the new model is named CompoundE.

Knowledge Graph Embedding Translation

Relation-Guided Few-Shot Relational Triple Extraction

1 code implementation SIGIR 2022 Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang

To instantiate this strategy, we further propose a model, RelATE, which builds a dual-level attention to aggregate relationrelevant information to detect the relation occurrence and utilizes the annotated samples of the detected relations to extract the corresponding head/tail entities.


Hessian-Free Second-Order Adversarial Examples for Adversarial Learning

no code implementations4 Jul 2022 Yaguan Qian, Yuqi Wang, Bin Wang, Zhaoquan Gu, Yuhan Guo, Wassim Swaileh

Extensive experiments conducted on the MINIST and CIFAR-10 datasets show that our adversarial learning with second-order adversarial examples outperforms other fisrt-order methods, which can improve the model robustness against a wide range of attacks.

Energy Circuit-based Integrated Energy Management System: Theory, Implementation, and Application

no code implementations26 Jun 2022 Binbin Chen, Qinglai Guo, Guanxiong Yin, Bin Wang, Zhaoguang Pan, Yuwei Chen, Wenchuan Wu, Hongbin Sun

Integrated energy systems (IESs), in which various energy flows are interconnected and coordinated to release potential flexibility for more efficient and secure operation, have drawn increasing attention in recent years.

energy management Management

Geometry Contrastive Learning on Heterogeneous Graphs

1 code implementation25 Jun 2022 Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang

Self-supervised learning (especially contrastive learning) methods on heterogeneous graphs can effectively get rid of the dependence on supervisory data.

Contrastive Learning Node Classification +3

A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA

no code implementations17 Jun 2022 Bin Wang, Jiangzhou Ju, Yunlin Mao, Xin-yu Dai, ShuJian Huang, Jiajun Chen

Here, we propose a numerical reasoning question answering system to answer numerical reasoning questions among financial text and table data sources, consisting of a retriever module, a generator module, and an ensemble module.

Question Answering

Confederated Learning: Federated Learning with Decentralized Edge Servers

no code implementations30 May 2022 Bin Wang, Jun Fang, Hongbin Li, Xiaojun Yuan, Qing Ling

Most studies on FL consider a centralized framework, in which a single server is endowed with a central authority to coordinate a number of devices to perform model training in an iterative manner.

Federated Learning Scheduling

Transformer based Generative Adversarial Network for Liver Segmentation

1 code implementation21 May 2022 Ugur Demir, Zheyuan Zhang, Bin Wang, Matthew Antalek, Elif Keles, Debesh Jha, Amir Borhani, Daniela Ladner, Ulas Bagci

The premise behind this choice is that the self-attention mechanism of the Transformers allows the network to aggregate the high dimensional feature and provide global information modeling.

Image Segmentation Liver Segmentation +1

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

1 code implementation19 May 2022 Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, dianhai yu

We took natural language processing (NLP) as an example to show how Nebula-I works in different training phases that include: a) pre-training a multilingual language model using two remote clusters; and b) fine-tuning a machine translation model using knowledge distilled from pre-trained models, which run through the most popular paradigm of recent deep learning.

Cross-Lingual Natural Language Inference Distributed Computing +2

Unified Interactive Image Matting

no code implementations17 May 2022 Stephen D. H. Yang, Bin Wang, Weijia Li, Yiqi Lin, Conghui He

Although avoiding the extensive labors of trimap annotation, existing methods still suffer from two limitations: (1) For the single image with multiple objects, it is essential to provide extra interaction information to help determining the matting target; (2) For transparent objects, the accurate regression of alpha matte from RGB image is much more difficult compared with the opaque ones.

Foreground Segmentation Image Matting +1

Rethinking Reinforcement Learning based Logic Synthesis

no code implementations16 May 2022 Chao Wang, Chen Chen, Dong Li, Bin Wang

Recently, reinforcement learning has been used to address logic synthesis by formulating the operator sequence optimization problem as a Markov decision process.

reinforcement-learning Reinforcement Learning (RL)

Electrified Autonomous Freight Benefit analysis on Fleet, Infrastructure and Grid Leveraging Grid-Electrified Mobility (GEM) Model

no code implementations27 Apr 2022 Wanshi Hong, Alan Jenn, Bin Wang

This paper analyzes the potential benefit of heavy-duty vehicle (HDV) electrification and automation on fleet cost, infrastructure cost, grid, and environmental impact.

C3KG: A Chinese Commonsense Conversation Knowledge Graph

1 code implementation6 Apr 2022 Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang

Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

1 code implementation31 Mar 2022 Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang

As a promising way, Cross-Domain Recommendation (CDR) has attracted a surge of interest, which aims to transfer the user preferences observed in the source domain to make recommendations in the target domain.

Recommendation Systems

MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation

1 code implementation ACL 2022 Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan

Applying existing methods to emotional support conversation -- which provides valuable assistance to people who are in need -- has two major limitations: (a) they generally employ a conversation-level emotion label, which is too coarse-grained to capture user's instant mental state; (b) most of them focus on expressing empathy in the response(s) rather than gradually reducing user's distress.

Curriculum-style Local-to-global Adaptation for Cross-domain Remote Sensing Image Segmentation

1 code implementation3 Mar 2022 Bo Zhang, Tao Chen, Bin Wang

Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.

Domain Adaptation Image Segmentation +1

MOORe: Model-based Offline-to-Online Reinforcement Learning

no code implementations25 Jan 2022 Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang

With the success of offline reinforcement learning (RL), offline trained RL policies have the potential to be further improved when deployed online.

D4RL reinforcement-learning +1

HiSTGNN: Hierarchical Spatio-temporal Graph Neural Networks for Weather Forecasting

no code implementations22 Jan 2022 Minbo Ma, Peng Xie, Fei Teng, Tianrui Li, Bin Wang, Shenggong Ji, Junbo Zhang

In this paper, we propose a novel Hierarchical Spatio-Temporal Graph Neural Network (HiSTGNN) to model cross-regional spatio-temporal correlations among meteorological variables in multiple stations.

Graph Learning Self-Learning +3

Joint Planning of Distributed Generations and Energy Storage in Active Distribution Networks: A Bi-Level Programming Approach

no code implementations15 Jan 2022 Yang Li, Bo Feng, Bin Wang, Shuchao Sun

In this model, the upper-level aims to seek the optimal location and capacity of DGs and energy storage, while the lower-level optimizes the operation of energy storage devices.

ViR:the Vision Reservoir

no code implementations27 Dec 2021 Xian Wei, Bin Wang, Mingsong Chen, Ji Yuan, Hai Lan, Jiehuang Shi, Xuan Tang, Bo Jin, Guozhang Chen, Dongping Yang

To address these problems, a novel method, namely, Vision Reservoir computing (ViR), is proposed here for image classification, as a parallel to ViT.

Classification Image Classification

CORE: A Knowledge Graph Entity Type Prediction Method via Complex Space Regression and Embedding

no code implementations19 Dec 2021 Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo

A new KG entity type prediction method, named CORE (COmplex space Regression and Embedding), is proposed in this work.

Benchmarking regression +2

KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling

no code implementations17 Dec 2021 Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo

Knowledge base completion is formulated as a binary classification problem in this work, where an XGBoost binary classifier is trained for each relation using relevant links in knowledge graphs (KGs).

Binary Classification Knowledge Base Completion +2

SanMove: Next Location Recommendation via Self-Attention Network

no code implementations15 Dec 2021 Huifeng Li, Bin Wang, Sulei Zhu, Yanyan Xu

To address the above challenges, we propose a novel method named SanMove, a self-attention network based model, to predict the next location via capturing the long- and short-term mobility patterns of users.

Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game

no code implementations14 Dec 2021 Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Chen Chen

An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.

energy management Management +1

ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors

no code implementations2 Dec 2021 Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li

This paper proposes a fusion model named ScaleVLAD to gather multi-Scale representation from text, video, and audio with shared Vectors of Locally Aggregated Descriptors to improve unaligned multimodal sentiment analysis.

Multimodal Sentiment Analysis

Learning Modified Indicator Functions for Surface Reconstruction

1 code implementation18 Nov 2021 Dong Xiao, Siyou Lin, Zuoqiang Shi, Bin Wang

We design a novel deep neural network to perform surface integral and learn the modified indicator functions from un-oriented and noisy point clouds.

LEMMA Surface Reconstruction

PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation

no code implementations29 Oct 2021 Kaitai Zhang, Bin Wang, C. -C. Jay Kuo

PEDENet contains a patch embedding (PE) network, a density estimation (DE) network, and an auxiliary network called the location prediction (LP) network.

Anomaly Detection Density Estimation +1

Task-Specific Dependency-based Word Embedding Methods

no code implementations26 Oct 2021 Chengwei Wei, Bin Wang, C. -C. Jay Kuo

Two task-specific dependency-based word embedding methods are proposed for text classification in this work.

text-classification Text Classification

EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation

1 code implementation15 Oct 2021 Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang

In this paper, we consider the problem of reference-based video super-resolution(RefVSR), i. e., how to utilize a high-resolution (HR) reference frame to super-resolve a low-resolution (LR) video sequence.

Reference-based Video Super-Resolution Video Super-Resolution

PG$^2$Net: Personalized and Group Preferences Guided Network for Next Place Prediction

1 code implementation15 Oct 2021 Huifeng Li, Bin Wang, Fan Xia, Xi Zhai, Sulei Zhu, Yanyan Xu

Targeting this, we propose an end-to-end framework named personalized and group preference guided network (PG$^2$Net), considering the users' preferences to various places at both individual and collective levels.

Graph Embedding Management

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization

1 code implementation8 Oct 2021 Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu

In this work, we propose a new algorithm for circuit routing, named Ranking Cost, which innovatively combines search-based methods (i. e., A* algorithm) and learning-based methods (i. e., Evolution Strategies) to form an efficient and trainable router.

Learning Explicit Credit Assignment for Multi-agent Joint Q-learning

no code implementations29 Sep 2021 Hangyu Mao, Jianye Hao, Dong Li, Jun Wang, Weixun Wang, Xiaotian Hao, Bin Wang, Kun Shao, Zhen Xiao, Wulong Liu

In contrast, we formulate an \emph{explicit} credit assignment problem where each agent gives its suggestion about how to weight individual Q-values to explicitly maximize the joint Q-value, besides guaranteeing the Bellman optimality of the joint Q-value.


Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection

1 code implementation19 Sep 2021 Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

object-detection Object Detection +1

Densely Semantic Enhancement for Domain Adaptive Region-free Detectors

no code implementations30 Aug 2021 Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan

Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.

object-detection Object Detection +1

Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification

no code implementations30 Aug 2021 Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan

The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.

Fine-Grained Image Classification Semantic correspondence +2

Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments

no code implementations18 Aug 2021 Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Guoqing Li

The community integrated energy system (CIES) is an essential energy internet carrier that has recently been the focus of much attention.


Risk Concentration and the Mean-Expected Shortfall Criterion

no code implementations11 Aug 2021 Xia Han, Bin Wang, Ruodu Wang, Qinyu Wu

Recently, Wang and Zitikis (2021) put forward four economic axioms for portfolio risk assessment and provide the first economic axiomatic foundation for the family of ES.

Management Translation

Multi-Scale Local-Temporal Similarity Fusion for Continuous Sign Language Recognition

no code implementations27 Jul 2021 Pan Xie, Zhi Cui, Yao Du, Mengyi Zhao, Jianwei Cui, Bin Wang, Xiaohui Hu

Continuous sign language recognition (cSLR) is a public significant task that transcribes a sign language video into an ordered gloss sequence.

Sign Language Recognition

Deep Structural Point Process for Learning Temporal Interaction Networks

1 code implementation8 Jul 2021 Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang

A temporal interaction network consists of a series of chronological interactions between users and items.

Unsupervised Co-part Segmentation through Assembly

1 code implementation10 Jun 2021 Qingzhe Gao, Bin Wang, Libin Liu, Baoquan Chen

Co-part segmentation is an important problem in computer vision for its rich applications.

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

no code implementations1 Jun 2021 Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

In addition, we use a novel agent network named Population Invariant agent with Transformer (PIT) to realize the coordination transfer in more varieties of scenarios.

Management Multi-agent Reinforcement Learning +3

Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning

no code implementations31 May 2021 Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang

However, such a decoder only exploits the preorder traversal based preceding actions, which are insufficient to ensure correct action predictions.

Code Generation

An Efficient Network Solver for Dynamic Simulation of Power Systems Based on Hierarchical Inverse Computation and Modification

no code implementations22 May 2021 Lu Zhang, Bin Wang, Vivek Sarin, Weiping Shi, P. R. Kumar, Le Xie

In power system dynamic simulation, up to 90% of the computational time is devoted to solve the network equations, i. e., a set of linear equations.

Integrated Communication and Navigation for Ultra-Dense LEO Satellite Networks: Vision, Challenges and Solutions

no code implementations19 May 2021 Yu Wang, Hejia Luo, Ying Chen, Jun Wang, Rong Li, Bin Wang

Next generation beyond 5G networks are expected to provide both Terabits per second data rate communication services and centimeter-level accuracy localization services in an efficient, seamless and cost-effective manner.

Towards an Online Empathetic Chatbot with Emotion Causes

no code implementations11 May 2021 Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang

Existing emotion-aware conversational models usually focus on controlling the response contents to align with a specific emotion class, whereas empathy is the ability to understand and concern the feelings and experience of others.


AnomalyHop: An SSL-based Image Anomaly Localization Method

1 code implementation8 May 2021 Kaitai Zhang, Bin Wang, Wei Wang, Fahad Sohrab, Moncef Gabbouj, C. -C. Jay Kuo

An image anomaly localization method based on the successive subspace learning (SSL) framework, called AnomalyHop, is proposed in this work.


Recent Advances on Sub-Nyquist Sampling-Based Wideband Spectrum Sensing

no code implementations7 May 2021 Jun Fang, Bin Wang, Hongbin Li, Ying-Chang Liang

Cognitive radio (CR) is a promising technology enabling efficient utilization of the spectrum resource for future wireless systems.

Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations

no code implementations13 Apr 2021 Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos.

Texture Synthesis

Self-supervised Video Representation Learning by Context and Motion Decoupling

1 code implementation CVPR 2021 Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

A key challenge in self-supervised video representation learning is how to effectively capture motion information besides context bias.

Action Recognition motion prediction +3

Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN

no code implementations26 Mar 2021 Congyi Wang, Yu Chen, Bin Wang, Yi Shi

GAN-based neural vocoders, such as Parallel WaveGAN and MelGAN have attracted great interest due to their lightweight and parallel structures, enabling them to generate high fidelity waveform in a real-time manner.

BLOCKEYE: Hunting For DeFi Attacks on Blockchain

no code implementations4 Mar 2021 Bin Wang, Han Liu, Chao Liu, Zhiqiang Yang, Qian Ren, Huixuan Zheng, Hong Lei

We applied BLOCKEYE in several popular DeFi projects and managed to discover potential security attacks that are unreported before.

Cryptography and Security Computers and Society

Forecasts on Interacting Dark Energy from 21-cm Angular Power Spectrum with BINGO and SKA observations

no code implementations2 Mar 2021 Linfeng Xiao, Andre A. Costa, Bin Wang

Then we estimate the noise level of three upcoming HI intensity mapping surveys, BINGO, SKA1-MID Band$\,$1 and Band$\,$2, respectively, and employ a Fisher matrix approach to forecast their constraints on the IDE model.

Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Phenomenology

Task-adaptive Neural Process for User Cold-Start Recommendation

1 code implementation26 Feb 2021 Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang

In this paper, we develop a novel meta-learning recommender called task-adaptive neural process (TaNP).

Meta-Learning Recommendation Systems

Studies of form factors and branching ratios for $D\rightarrow S,Al\bar{ν_{l}}$ with light-cone sum rules

no code implementations24 Feb 2021 Qi Huang, Yan-Jun Sun, Di Gao, Guo-Hua Zhao, Bin Wang, Wei Hong

We systematically study the semileptonic decay process of $ D\rightarrow S, A l\bar{\nu_{l}}(l=e,\mu)$ by light-cone sum rules (LCSR) with chiral currents, calculate the form factors containing only the contribution of the leading twist light-cone distribution amplitudes (LCDAs).

High Energy Physics - Phenomenology

Progressive Depth Learning for Single Image Dehazing

no code implementations21 Feb 2021 Yudong Liang, Bin Wang, Jiaying Liu, Deyu Li, Sanping Zhou, Wenqi Ren

However, we note that the guidance of the depth information for transmission estimation could remedy the decreased visibility as distances increase.

Depth Estimation Depth Prediction +2

The collider tests of a leptophilic scalar for the anomalous magnetic moments

no code implementations10 Feb 2021 Ning Chen, Bin Wang, Chang-Yuan Yao

Our results show that the leptophilic scalar in the mass range of $\mathcal{O}(10)- \mathcal{O}(1000 )\,\rm GeV$ can be fully probed by the future experimental searches at the HL-LHC and the lepton colliders at their early stages.

High Energy Physics - Phenomenology

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning

no code implementations9 Feb 2021 Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

However, scaling up the classification task from thousands of semantic labels to millions of instance labels brings specific challenges including 1) the large-scale softmax computation; 2) the slow convergence due to the infrequent visiting of instance samples; and 3) the massive number of negative classes that can be noisy.

Classification General Classification +1

Polyphone Disambiguition in Mandarin Chinese with Semi-Supervised Learning

no code implementations1 Feb 2021 Yi Shi, Congyi Wang, Yu Chen, Bin Wang

In this paper, we propose a novel semi-supervised learning (SSL) framework for Mandarin Chinese polyphone disambiguation that can potentially leverage unlimited unlabeled text data.

Polyphone disambiguation

Towards Speeding up Adversarial Training in Latent Spaces

no code implementations1 Feb 2021 Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shouling Ji, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh

Adversarial training is wildly considered as one of the most effective way to defend against adversarial examples.

Black holes of $(2+1)$-dimensional $f(R)$ gravity coupled to a scalar field

no code implementations16 Jan 2021 Thanasis Karakasis, Eleftherios Papantonopoulos, Zi-Yu Tang, Bin Wang

We consider $f(R)$ gravity theories in the presence of a scalar field minimally coupled to gravity with a self-interacting potential in $(2+1)$-dimensions.

General Relativity and Quantum Cosmology

GraphHop: An Enhanced Label Propagation Method for Node Classification

1 code implementation7 Jan 2021 Tian Xie, Bin Wang, C. -C. Jay Kuo

In Step 2, a new label vector is predicted for each node based on the label of the node itself and the aggregated label information obtained in Step 1.

Classification General Classification +3

Constructing Multiple High-Quality Deep Neural Networks: A TRUST-TECH Based Approach

no code implementations1 Jan 2021 Zhiyong Hao, Hsiao-Dong Chiang, Bin Wang

To realize effective TRUST-TECH searches to train deep neural networks on large datasets, a dynamic search paths (DSP) method is proposed to provide an improved search guidance in TRUST-TECH method.

Image Classification Vocal Bursts Intensity Prediction

Ranking Cost: One-Stage Circuit Routing by Directly Optimizing Global Objective Function

no code implementations1 Jan 2021 Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Jun Zhu, Ting Chen

In our method, we introduce a new set of variables called cost maps, which can help the A* router to find out proper paths to achieve the global object.

Approximating Pareto Frontier through Bayesian-optimization-directed Robust Multi-objective Reinforcement Learning

no code implementations1 Jan 2021 Xiangkun He, Jianye Hao, Dong Li, Bin Wang, Wulong Liu

Thirdly, the agent’s learning process is regarded as a black-box, and the comprehensive metric we proposed is computed after each episode of training, then a Bayesian optimization (BO) algorithm is adopted to guide the agent to evolve towards improving the quality of the approximated Pareto frontier.

Bayesian Optimization Multi-Objective Reinforcement Learning +1

An Adversarial Attack via Feature Contributive Regions

no code implementations1 Jan 2021 Yaguan Qian, Jiamin Wang, Xiang Ling, Zhaoquan Gu, Bin Wang, Chunming Wu

Recently, to deal with the vulnerability to generate examples of CNNs, there are many advanced algorithms that have been proposed.

Adversarial Attack

Robust Memory Augmentation by Constrained Latent Imagination

no code implementations1 Jan 2021 Yao Mu, Yuzheng Zhuang, Bin Wang, Wulong Liu, Shengbo Eben Li, Jianye Hao

The latent dynamics model summarizes an agent’s high dimensional experiences in a compact way.

Horizon curvature and spacetime structure influences on black hole scalarization

no code implementations22 Dec 2020 Hong Guo, Xiao-Mei Kuang, Eleftherios Papantonopoulos, Bin Wang

Comparing with negative and zero cases, the scalar field near AdS black hole with positive curvature could be much easier to emerge.

General Relativity and Quantum Cosmology

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

1 code implementation14 Dec 2020 Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan

Hence, in this paper, we propose to improve the response generation performance by examining the model's ability to answer a reading comprehension question, where the question is focused on the omitted information in the dialog.

Multi-Task Learning Reading Comprehension +1

Bipartite Graph Embedding via Mutual Information Maximization

1 code implementation10 Dec 2020 Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang

However, the global properties of bipartite graph, including community structures of homogeneous nodes and long-range dependencies of heterogeneous nodes, are not well preserved.

Graph Embedding Link Prediction

Visually Imperceptible Adversarial Patch Attacks on Digital Images

no code implementations2 Dec 2020 Yaguan Qian, Jiamin Wang, Bin Wang, Shaoning Zeng, Zhaoquan Gu, Shouling Ji, Wassim Swaileh

With this soft mask, we develop a new loss function with inverse temperature to search for optimal perturbations in CFR.

Porous Lattice Transformer Encoder for Chinese NER

no code implementations COLING 2020 Xue Mengge, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang

Incorporating lexicons into character-level Chinese NER by lattices is proven effective to exploitrich word boundary information.


Phase transitions in four-dimensional AdS black holes with a nonlinear electrodynamics source

no code implementations29 Nov 2020 Ramon Becar, P. A. Gonzalez, Joel Saavedra, Yerko Vasquez, Bin Wang

In this work we consider black hole solutions to Einstein theory coupled to a nonlinear power-law electromagnetic field with a fixed exponent value.

General Relativity and Quantum Cosmology High Energy Physics - Theory

Electric Vehicle Charging Infrastructure Planning: A Scalable Computational Framework

no code implementations17 Nov 2020 Wanshi Hong, Cong Zhang, Cy Chan, Bin Wang

The optimal charging infrastructure planning problem over a large geospatial area is challenging due to the increasing network sizes of the transportation system and the electric grid.

Profile Generation