Search Results for author: Bin Li

Found 189 papers, 60 papers with code

Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation

no code implementations LREC 2022 Liming Xiao, Bin Li, Zhixing Xu, Kairui Huo, Minxuan Feng, Junsheng Zhou, Weiguang Qu

Therefore, to make up for the vacancy of Chinese AMR parsing evaluation methods, based on AMR evaluation metric smatch, we have improved the algorithm of generating triples so that to make it compatible with concept alignment and relation alignment.

AMR Parsing

中文连动句语义关系识别研究(Research on Semantic Relation Recognition of Chinese Serial-verb Sentences)

no code implementations CCL 2021 Chao Sun, Weiguang Qu, Tingxin Wei, Yanhui Gu, Bin Li, Junsheng Zhou

“连动句是形如“NP+VP1+VP2”的句子, 句中含有两个或两个以上的动词(或动词结构)且动词的施事为同一对象。相同结构的连动句可以表示多种不同的语义关系。本文基于前人对连动句中VP1和VP2之间的语义关系分类, 标注了连动句语义关系数据集, 基于神经网络完成了对连动句语义关系的识别。该方法将连动句语义识别任务进行分解, 基于BERT进行编码, 利用BiLSTM-CRF先识别出连动句中连动词(VP)及其主语(NP), 再基于融合连动词信息的编码, 利用BiLSTM-Attention对连动词进行关系判别, 实验结果验证了所提方法的有效性。”

VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification

1 code implementation BioNLP (ACL) 2022 Bin Li, Yixuan Weng, Fei Xia, Bin Sun, Shutao Li

Given an input video, the MedVidCL task aims to correctly classify it into one of three following categories: Medical Instructional, Medical Non-instructional, and Non-medical.

Video Classification

A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation

no code implementations dialdoc (ACL) 2022 Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia

Question Answering (QA) is a Natural Language Processing (NLP) task that can measure language and semantics understanding ability, it requires a system not only to retrieve relevant documents from a large number of articles but also to answer corresponding questions according to documents.

Dialogue Generation Language Modelling +3

Continuing Pre-trained Model with Multiple Training Strategies for Emotional Classification

no code implementations WASSA (ACL) 2022 Bin Li, Yixuan Weng, Qiya Song, Bin Sun, Shutao Li

This paper describes the contribution of the LingJing team’s method to the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) 2022 shared task on Emotion Classification.

Classification Data Augmentation +3

基于深度学习的实体关系抽取研究综述(Review of Entity Relation Extraction based on deep learning)

no code implementations CCL 2020 Zhentao Xia, Weiguang Qu, Yanhui Gu, Junsheng Zhou, Bin Li

作为信息抽取的一项核心子任务, 实体关系抽取对于知识图谱、智能问答、语义搜索等自然语言处理应用都十分重要。关系抽取在于从非结构化文本中自动地识别实体之间具有的某种语义关系。该文聚焦句子级别的关系抽取研究, 介绍用于关系抽取的主要数据集并对现有的技术作了阐述, 主要分为:有监督的关系抽取、远程监督的关系抽取和实体关系联合抽取。我们对比用于该任务的各种模型, 分析它们的贡献与缺 陷。最后介绍中文实体关系抽取的研究现状和方法。

Relation Extraction

基于神经网络的连动句识别(Recognition of serial-verb sentences based on Neural Network)

no code implementations CCL 2020 Chao Sun, Weiguang Qu, Tingxin Wei, Yanhui Gu, Bin Li, Junsheng Zhou

连动句是具有连动结构的句子, 是汉语中的特殊句法结构, 在现代汉语中十分常见且使用频繁。连动句语法结构和语义关系都很复杂, 在识别中存在许多问题, 对此本文针对连动句的识别问题进行了研究, 提出了一种基于神经网络的连动句识别方法。本方法分两步:第一步, 运用简单的规则对语料进行预处理;第二步, 用文本分类的思想, 使用BERT编码, 利用多层CNN与BiLSTM模型联合提取特征进行分类, 进而完成连动句识别任务。在人工标注的语料上进行实验, 实验结果达到92. 71%的准确率, F1值为87. 41%。

基于抽象语义表示的汉语疑问句的标注与分析(Chinese Interrogative Sentences Annotation and Analysis Based on the Abstract Meaning Representation)

no code implementations CCL 2020 Peiyi Yan, Bin Li, Tong Huang, Kairui Huo, Jin Chen, Weiguang Qu

疑问句的句法语义分析在搜索引擎、信息抽取和问答系统等领域有着广泛的应用。计算语言学多采取问句分类和句法分析相结合的方式来处理疑问句, 精度和效率还不理想。而疑问句的语言学研究成果丰富, 比如疑问句的结构类型、疑问焦点和疑问代词的非疑问用法等, 但缺乏系统的形式化表示。本文致力于解决这一难题, 采用基于图结构的汉语句子语义的整体表示方法—中文抽象语义表示(CAMR)来标注疑问句的语义结构, 将疑问焦点和整句语义一体化表示出来。然后选取了宾州中文树库CTB8. 0网络媒体语料、小学语文教材以及《小王子》中文译本的2万句语料中共计2071句疑问句, 统计了疑问句的主要特点。统计表明, 各种疑问代词都可以通过疑问概念amr-unknown和语义关系的组合来表示, 能够完整地表示出疑问句的关键信息、疑问焦点和语义结构。最后, 根据疑问代词所关联的语义关系, 统计了疑问焦点的概率分布, 其中原因、修饰语和受事的占比最高, 分别占26. 53%、16. 73%以及16. 44%。基于抽象语义表示的疑问句标注与分析可以为汉语疑问句研究提供基础理论与资源。

多轮对话的篇章级抽象语义表示标注体系研究(Research on Discourse-level Abstract Meaning Representation Annotation framework in Multi-round Dialogue)

no code implementations CCL 2020 Tong Huang, Bin Li, Peiyi Yan, Tingting Ji, Weiguang Qu

对话分析是智能客服、聊天机器人等自然语言对话应用的基础课题, 而对话语料与常规书面语料有较大差异, 存在大量的称谓、情感短语、省略、语序颠倒、冗余等复杂现象, 对句法和语义分析器的影响较大, 对话自动分析的准确率相对书面语料一直不高。其主要原因在于对多轮对话缺乏严整的形式化描写方式, 不利于后续的分析计算。因此, 本文在梳理国内外针对对话的标注体系和语料库的基础上, 提出了基于抽象语义表示的篇章级多轮对话标注体系。具体探讨了了篇章级别的语义结构标注方法, 给出了词语和概念关系的对齐方案, 针对称谓语和情感短语增加了相应的语义关系和概念, 调整了表示主观情感词语的论元结构, 并对对话中一些特殊现象进行了规定, 设计了人工标注平台, 为大规模的多轮对话语料库标注与计算研究奠定基础。

Building a Chinese AMR Bank with Concept and Relation Alignments

no code implementations LILT 2019 Bin Li, Yuan Wen, Li Song, Weiguang Qu, Nianwen Xue

One significant change we have made to the AMR annotation methodology is the inclusion of the alignment between word tokens in the sentence and the concepts/relations in the CAMR annotation to make it easier for automatic parsers to model the correspondence between a sentence and its meaning representation.

基于大规模语料库的《古籍汉字分级字表》研究(The Formulation of The graded Chinese character list of ancient books Based on Large-scale Corpus)

no code implementations CCL 2021 Changwei Xu, Minxuan Feng, Bin Li, Yiguo Yuan

"《古籍汉字分级字表》是基于大规模古籍文本语料库、为辅助学习者古籍文献阅读而研制的分级字表。该字表填补了古籍字表研究成果的空缺, 依据各汉字学习优先级别的不同, 实现了古籍汉字的等级划分, 目前收录一级字105个, 二级字340个, 三级字555个。本文介绍了该字表研制的主要依据和基本步骤, 并将其与传统识字教材“三百千”及《现代汉语常用字表》进行比较, 验证了其收字的合理性。该字表有助于学习者优先掌握古籍文本常用字, 提升古籍阅读能力, 从而促进中华优秀传统文化的继承与发展。”

Knowledge Transfer with Visual Prompt in multi-modal Dialogue Understanding and Generation

no code implementations TU (COLING) 2022 Minjun Zhu, Yixuan Weng, Bin Li, Shizhu He, Kang Liu, Jun Zhao

In this work, we propose a knowledge transfer method with visual prompt (VPTG) fusing multi-modal data, which is a flexible module that can utilize the text-only seq2seq model to handle visual dialogue tasks.

Dialogue Understanding Knowledge Distillation +2

DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing

1 code implementation COLING 2022 Bin Li, Miao Gao, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao, Yaocheng Gui

A recent success in semantic dependency parsing shows that graph neural networks can make significant accuracy improvements, owing to its powerful ability in learning expressive graph representations.

Dependency Parsing graph construction +3

先秦词网构建及梵汉对比研究(The Construction of Pre-Qin Ancient Chinese WordNet and Cross Language Comparative Study between Ancient Sanskrit WordNet and Pre-Qin Ancient Chinese WordNet)

no code implementations CCL 2021 Xuehui Lu, Huidan Xu, Siyu Chen, Bin Li

“先秦汉语在汉语史研究上具有重要地位, 然而以往的研究始终没有形成结构化的先秦词汇资源, 难以满足古汉语信息处理和跨语言对比的研究需要。国际上以英文词网(WordNet)的义类架构为基础, 已经建立了数十种语言的词网, 已经成为多语言自然语言处理和跨语言对比的基础资源。本文综述了国内外各种词网的构建情况, 特别是古代语言的词网和汉语词网, 然后详细介绍了先秦词网的构建和校正过程, 构建起了涵盖43591个词语、61227个义项、17975个义类的先秦汉语词网。本文还通过与古梵语词网的跨语言对比, 尝试分析这两种古老语言在词汇上的共性和差异, 初步验证先秦词网的有效性。”

中文词语离合现象识别研究(Research on Recognition of the Separation and Reunion Phenomena of Words in Chinese)

no code implementations CCL 2021 Lou Zhou, Weiguang Qu, Tingxin Wei, Junsheng Zhou, Bin Li, Yanhui Gu

“汉语词语的离合现象是汉语中一种词语可分可合的特殊现象。本文采用字符级序列标注方法解决二字动词离合现象的自动识别问题, 以避免中文分词及词性标注的错误传递, 节省制定匹配规则与特征模板的人工开支。在训练过程中微调BERT中文预训练模型, 获取面向目标任务的字符向量表示, 并引入掩码机制对模型隐藏离用法中分离的词语, 减轻词语本身对识别结果的影响, 强化中间插入成分的学习, 并对前后语素采用不同的掩码以强调其出现顺序, 进而使模型具备了识别复杂及偶发性离用法的能力。为获得含有上下文信息的句子表达, 将原始的句子表达与采用掩码的句子表达分别输入两个不同参数的BiLSTM层进行训练, 最后采用CRF算法捕捉句子标签序列的依赖关系。本文提出的BERT MASK + 2BiLSTMs + CRF模型比现有最优的离合词识别模型提高了2. 85%的F1值。”

The First International Ancient Chinese Word Segmentation and POS Tagging Bakeoff: Overview of the EvaHan 2022 Evaluation Campaign

no code implementations LT4HALA (LREC) 2022 Bin Li, Yiguo Yuan, Jingya Lu, Minxuan Feng, Chao Xu, Weiguang Qu, Dongbo Wang

This paper presents the results of the First Ancient Chinese Word Segmentation and POS Tagging Bakeoff (EvaHan), which was held at the Second Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) 2022, in the context of the 13th Edition of the Language Resources and Evaluation Conference (LREC 2022).

Chinese Word Segmentation POS

Kainate receptor modulation by NETO2

no code implementations2 Feb 2023 Lingli He, Jiahui Sun, Yiwei Gao, Bin Li, Yuhang Wang, Yanli Dong, Weidong An, Hang Li, Bei Yang, Yuhan Ge, Xuejun Cai Zhang, Yun Stone Shi, Yan Zhao

Glutamate-gated kainate receptors (KARs) are ubiquitous in the central nervous system of vertebrates, mediate synaptic transmission on post-synapse, and modulate transmitter release on pre-synapse.

Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection

no code implementations25 Jan 2023 Tongzhi Niu, Bin Li, Kai Li, Yufeng Lin, Yuwei Li, Weifeng Li, Zhenrong Wang

In the surface defect detection, there are some suspicious regions that cannot be uniquely classified as abnormal or normal.

Defect Detection

Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction

no code implementations21 Jan 2023 Chengmin Gao, Bin Li

The model also achieves the new ability: Gaussian processes are employed as priors of view latent variables for generation and novel-view prediction without viewpoint annotations.

Disentanglement Gaussian Processes

Adversarial Example Defense via Perturbation Grading Strategy

no code implementations16 Dec 2022 Shaowei Zhu, Wanli Lyu, Bin Li, Zhaoxia Yin, Bin Luo

In addition, the proposed method does not modify any task model, which can be used as a preprocessing module, which significantly reduces the deployment cost in practical applications.

Artificial Text Detection with Multiple Training Strategies

no code implementations10 Dec 2022 Bin Li, Yixuan Weng, Qiya Song, Hanjun Deng

As the deep learning rapidly promote, the artificial texts created by generative models are commonly used in news and social media.

Language Modelling

Chinese Character Recognition with Radical-Structured Stroke Trees

no code implementations24 Nov 2022 Haiyang Yu, Jingye Chen, Bin Li, xiangyang xue

In this paper, we represent each Chinese character as a stroke tree, which is organized according to its radical structures, to fully exploit the merits of both radical and stroke levels in a decent way.

Compositional Scene Modeling with Global Object-Centric Representations

no code implementations21 Nov 2022 Tonglin Chen, Bin Li, Zhimeng Shen, xiangyang xue

Inspired by such an ability of humans, this paper proposes a compositional scene modeling method to infer global representations of canonical images of objects without any supervision.

Patch Matching Variational Inference

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information

1 code implementation17 Nov 2022 Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie zhou, Jifeng Dai

It has been proved that combining multiple pre-training strategies and data from various modalities/sources can greatly boost the training of large-scale models.

 Ranked #1 on Object Detection on COCO test-dev (using extra training data)

Image Classification object-detection +2

Cross-domain Federated Adaptive Prompt Tuning for CLIP

no code implementations15 Nov 2022 Shangchao Su, Mingzhao Yang, Bin Li, xiangyang xue

In this paper, we propose a federated adaptive prompt tuning algorithm, FedAPT, for cross-domain federated image classification scenarios with the vision-language pre-trained model, CLIP, which gives play to the strong representation ability in FL.

Federated Learning Image Classification

Visual Answer Localization with Cross-modal Mutual Knowledge Transfer

1 code implementation26 Oct 2022 Yixuan Weng, Bin Li

In this paper, we propose a cross-modal mutual knowledge transfer span localization (MutualSL) method to reduce the knowledge deviation.

Transfer Learning

Slippage-robust Gaze Tracking for Near-eye Display

no code implementations20 Oct 2022 Wei zhang, Jiaxi Cao, Xiang Wang, Enqi Tian, Bin Li

In recent years, head-mounted near-eye display devices have become the key hardware foundation for virtual reality and augmented reality.

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction

no code implementations12 Oct 2022 Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu

This process offers a natural way to obtain the "whitened" latents without any trainable parameters, and human motion prediction can be regarded as the reverse diffusion process that converts the noise distribution into realistic future motions conditioned on the observed sequence.

Human motion prediction motion prediction

Learning to Locate Visual Answer in Video Corpus Using Question

1 code implementation11 Oct 2022 Bin Li, Yixuan Weng, Bin Sun, Shutao Li

We introduce a new task, named video corpus visual answer localization (VCVAL), which aims to locate the visual answer in a large collection of untrimmed instructional videos using a natural language question.

Contrastive Learning Language Modelling +2

Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning

no code implementations4 Oct 2022 Shangchao Su, Bin Li, xiangyang xue

In this paper, we first analyze the generalization bound of the aggregation model produced from knowledge distillation for the client domains, and then describe two challenges, server-to-client discrepancy and client-to-client discrepancy, brought to the aggregation model by the domain discrepancies.

Federated Learning Knowledge Distillation

Domain-Unified Prompt Representations for Source-Free Domain Generalization

1 code implementation29 Sep 2022 Hongjing Niu, Hanting Li, Feng Zhao, Bin Li

The proposed scheme generates diverse prompts from a domain bank that contains many more diverse domains than existing DG datasets.

Domain Generalization

TODE-Trans: Transparent Object Depth Estimation with Transformer

no code implementations18 Sep 2022 Kang Chen, Shaochen Wang, Beihao Xia, Dongxu Li, Zhen Kan, Bin Li

We observe that the global characteristics of the transformer make it easier to extract contextual information to perform depth estimation of transparent areas.

Depth Estimation Transparent Object Depth Estimation +1

Compositional Law Parsing with Latent Random Functions

no code implementations15 Sep 2022 Fan Shi, Bin Li, xiangyang xue

The automatic parsing of these laws indicates the model's ability to understand the scene, which makes law parsing play a central role in many visual tasks.

Visual Reasoning

Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process

no code implementations16 Aug 2022 Tao Yan, Mingyue Li, Bin Li, Yang Yang, Rynson W. H. Lau

However, making full use of the abundant information available from LFIs, such as 2D array of sub-views and the disparity map of each sub-view, for effective rain removal is still a challenging problem.

Depth Estimation Rain Removal

Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis

no code implementations12 Aug 2022 Zhiyu Jin, Xuli Shen, Bin Li, xiangyang xue

We connect Fourier amplitude and phase with Gram matrices and a content reconstruction loss in style transfer, respectively.

Style Transfer

Clear Memory-Augmented Auto-Encoder for Surface Defect Detection

no code implementations8 Aug 2022 Wei Luo, Tongzhi Niu, Lixin Tang, Wenyong Yu, Bin Li

At first, we propose a novel clear memory-augmented module, which combines the encoding and memory-encoding in a way of forgetting and inputting, thereby repairing abnormal foregrounds and preservation clear backgrounds.

Anomaly Detection Defect Detection

Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction

no code implementations2 Aug 2022 Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu

Previous works on human motion prediction follow the pattern of building a mapping relation between the sequence observed and the one to be predicted.

Human motion prediction motion prediction +1

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

1 code implementation18 Jul 2022 Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li

Since data augmentation strategies have largely alleviated the training instability, how to further improve the generative performance of DE-GANs becomes a hotspot.

Contrastive Learning Data Augmentation

Hybrid Spatial-Temporal Entropy Modelling for Neural Video Compression

1 code implementation13 Jul 2022 Jiahao Li, Bin Li, Yan Lu

Besides estimating the probability distribution, our entropy model also generates the quantization step at spatial-channel-wise.

Quantization Video Compression

Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation

no code implementations5 Jul 2022 Bin Li, Yixuan Weng, Ziyu Ma, Bin Sun, Shutao Li

To fully leverage the visual information for both scene understanding and dialogue generation, we propose the scene-aware prompt for the MDUG task.

Dialogue Generation Dialogue Understanding +2

Cross-domain Federated Object Detection

no code implementations30 Jun 2022 Shangchao Su, Bin Li, Chengzhi Zhang, Mingzhao Yang, xiangyang xue

In order to learn both the global knowledge and the personalized knowledge in different domains, the proposed framework first performs the federated training to obtain a public global aggregated model through multi-teacher distillation, and sends the aggregated model back to each client for finetuning its personalized local model.

Autonomous Driving Federated Learning +2

Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation

no code implementations22 Jun 2022 Zhuangkun Wei, Bin Li, Weisi Guo

The development of reconfigurable intelligent surfaces (RIS) has recently advanced the research of physical layer security (PLS).

STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition

1 code implementation12 Jun 2022 Shunquan Tan, Qiushi Li, Laiyuan Li, Bin Li, Jiwu Huang

We propose a normalized distortion threshold to evaluate the sensitivity of each involved convolutional layer of the base model to guide STD-NET to compress target network in an efficient and unsupervised approach, and obtain two network structures of different shapes with low computation cost and similar performance compared with the original one.

Model Compression Steganalysis +1

Siamese Image Modeling for Self-Supervised Vision Representation Learning

2 code implementations2 Jun 2022 Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai

Driven by these analysis, we propose Siamese Image Modeling (SiameseIM), which predicts the dense representations of an augmented view, based on another masked view from the same image but with different augmentations.

Representation Learning Self-Supervised Learning +1

Dog nose print matching with dual global descriptor based on Contrastive Learning

1 code implementation1 Jun 2022 Bin Li, Zhongan Wang, Nan Wu, Shuai Shi, Qijun Ma

These methods generally extract the global features as descriptor to represent the original image.

Contrastive Learning

Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions

1 code implementation20 May 2022 Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu

Generalization across different environments with the same tasks is critical for successful applications of visual reinforcement learning (RL) in real scenarios.

One-shot Federated Learning without Server-side Training

no code implementations26 Apr 2022 Shangchao Su, Bin Li, xiangyang xue

Federated Learning (FL) has recently made significant progress as a new machine learning paradigm for privacy protection.

Federated Learning Knowledge Distillation

Locality Sensitive Hashing for Structured Data: A Survey

no code implementations24 Apr 2022 Wei Wu, Bin Li

Data similarity (or distance) computation is a fundamental research topic which fosters a variety of similarity-based machine learning and data mining applications.

Data-Efficient Backdoor Attacks

1 code implementation22 Apr 2022 Pengfei Xia, Ziqiang Li, Wei zhang, Bin Li

Recent studies have proven that deep neural networks are vulnerable to backdoor attacks.

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

1 code implementation20 Apr 2022 Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao

The medical conversational system can relieve the burden of doctors and improve the efficiency of healthcare, especially during the pandemic.

Conversational Question Answering Dialogue Generation +3

A Comprehensive Survey on Data-Efficient GANs in Image Generation

no code implementations18 Apr 2022 Ziqiang Li, Beihao Xia, Jing Zhang, Chaoyue Wang, Bin Li

Generative Adversarial Networks (GANs) have achieved remarkable achievements in image synthesis.

Image Generation

Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages

1 code implementation9 Apr 2022 Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng

The last decade has witnessed enormous improvements in science and technology, stimulating the growing demand for economic and cultural exchanges in various countries.

Machine Translation NMT +3

Prompt-based System for Personality and Interpersonal Reactivity Prediction

no code implementations WASSA (ACL) 2022 Bin Li, Yixuan Weng

This paper describes our proposed method for the Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA) 2022 shared task on Personality Prediction (PER) and Reactivity Index Prediction (IRI).

Data Augmentation Language Modelling

Neural Compression-Based Feature Learning for Video Restoration

no code implementations CVPR 2022 Cong Huang, Jiahao Li, Bin Li, Dong Liu, Yan Lu

The temporal features usually contain various noisy and uncorrelated information, and they may interfere with the restoration of the current frame.

Denoising Quantization +3

Multi-Unit Diffusion Auctions with Intermediaries

no code implementations15 Mar 2022 Bin Li, Dong Hao, Dengji Zhao

This paper studies multi-unit auctions powered by intermediaries, where each intermediary owns a private set of unit-demand buyers and all intermediaries are networked with each other.

Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video

no code implementations13 Mar 2022 Bin Li, Yixuan Weng, Bin Sun, Shutao Li

However, due to the weak correlations and huge gaps of the semantic features between the textual question and visual answer, existing methods adopting visual span predictor perform poorly in the TAGV task.

Language Modelling Question Answering

Remote blood pressure measurement via spatiotemporal mapping of a short-time facial video

no code implementations7 Mar 2022 Jialiang Zhuang, Bin Li, Yun Zhang, YuHeng Chen, Xiujuan Zheng

Blood pressure (BP) monitoring is vital in daily healthcare, especially for cardiovascular diseases.

Compositional Scene Representation Learning via Reconstruction: A Survey

no code implementations15 Feb 2022 Jinyang Yuan, Tonglin Chen, Bin Li, xiangyang xue

Visual scene representation learning is an important research problem in the field of computer vision.

Representation Learning

A Higher-Order Semantic Dependency Parser

1 code implementation27 Jan 2022 Bin Li, Yunlong Fan, Yikemaiti Sataer, Zhiqiang Gao

Higher-order features bring significant accuracy gains in semantic dependency parsing.

Dependency Parsing Graph Learning +1

PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications

no code implementations19 Jan 2022 Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen

A growing number of service providers are exploring methods to improve server utilization, reduce power consumption, and reduce total cost of ownership by co-scheduling high-priority latency-critical workloads with best-effort workloads.

Scheduling

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

1 code implementation30 Dec 2021 Haiyang Yu, Jingye Chen, Bin Li, jianqi ma, Mengnan Guan, Xixi Xu, Xiaocong Wang, Shaobo Qu, xiangyang xue

The experimental results indicate that the performance of baselines on CTR datasets is not as good as that on English datasets due to the characteristics of Chinese texts that are quite different from the Latin alphabet.

Text Classification

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

no code implementations20 Dec 2021 Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li

Many existing algorithms learn robust policies by modeling the disturbance and applying it to source environments during training, which usually requires prior knowledge about the disturbance and control of simulators.

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

1 code implementation8 Dec 2021 Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He

To address the above issue, this paper proposes an new method for acronym disambiguation, named as ADBCMM, which can significantly improve the performance of low-resource languages by building counterfactuals and multilingual mixing.

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints

no code implementations7 Dec 2021 Jinyang Yuan, Bin Li, xiangyang xue

When observing a visual scene that contains multiple objects from multiple viewpoints, humans are able to perceive the scene in a compositional way from each viewpoint, while achieving the so-called "object constancy" across different viewpoints, even though the exact viewpoints are untold.

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification

1 code implementation3 Dec 2021 Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan Yuille, Yongyi Lu

However, these approaches formulated skin cancer diagnosis as a simple classification task, dismissing the potential benefit from lesion segmentation.

Classification Lesion Classification +2

Continuous-time edge modelling using non-parametric point processes

no code implementations NeurIPS 2021 Xuhui Fan, Bin Li, Feng Zhou, Scott Sisson

The mutually-exciting Hawkes process (ME-HP) is a natural choice to model reciprocity, which is an important attribute of continuous-time edge (dyadic) data.

Gaussian Processes Point Processes +1

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation

no code implementations29 Nov 2021 Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun

In this paper, we propose a Simple framework for Contrastive Learning of Acronym Disambiguation (SimCLAD) method to better understand the acronym meanings.

Contrastive Learning

PSG: Prompt-based Sequence Generation for Acronym Extraction

no code implementations29 Nov 2021 Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li

In this paper, we propose a Prompt-based Sequence Generation (PSG) method for the acronym extraction task.

Language Modelling

Temporal Context Mining for Learned Video Compression

no code implementations27 Nov 2021 Xihua Sheng, Jiahao Li, Bin Li, Li Li, Dong Liu, Yan Lu

From the stored propagated features, we propose to learn multi-scale temporal contexts, and re-fill the learned temporal contexts into the modules of our compression scheme, including the contextual encoder-decoder, the frame generator, and the temporal context encoder.

MS-SSIM SSIM +1

Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search

no code implementations9 Nov 2021 Pengfei Xia, Ziqiang Li, Bin Li

The most common solution for this is to compute an approximate risk by replacing the 0-1 loss with a surrogate one.

Adversarial Robustness AutoML

Enhancing Backdoor Attacks with Multi-Level MMD Regularization

1 code implementation9 Nov 2021 Pengfei Xia, Hongjing Niu, Ziqiang Li, Bin Li

Then, ML-MMDR, a difference reduction method that adds multi-level MMD regularization into the loss, is proposed, and its effectiveness is testified on three typical difference-based defense methods.

Backdoor Attack

RelationRS: Relationship Representation Network for Object Detection in Aerial Images

no code implementations13 Oct 2021 Zhiming Liu, Xuefei Zhang, Chongyang Liu, Hao Wang, Chao Sun, Bin Li, Weifeng Sun, Pu Huang, Qingjun Li, Yu Liu, Haipeng Kuang, Jihong Xiu

To address these issues, we propose a relationship representation network for object detection in aerial images (RelationRS): 1) Firstly, multi-scale features are fused and enhanced by a dual relationship module (DRM) with conditional convolution.

object-detection Object Detection In Aerial Images

Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent

no code implementations11 Oct 2021 Weiming Liu, Huacong Jiang, Bin Li, Houqiang Li

Follow-the-Regularized-Lead (FTRL) and Online Mirror Descent (OMD) are regret minimization algorithms for Online Convex Optimization (OCO), they are mathematically elegant but less practical in solving Extensive-Form Games (EFGs).

Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery

no code implementations8 Oct 2021 Ruofeng Wei, Bin Li, Hangjie Mo, Bo Lu, Yonghao Long, Bohan Yang, Qi Dou, Yunhui Liu, Dong Sun

Then, we develop a dense visual reconstruction algorithm to represent the scene by surfels, estimate the laparoscope poses and fuse the depth maps into a unified reference coordinate for tissue reconstruction.

Anatomy Depth Estimation

Deep Contextual Video Compression

1 code implementation NeurIPS 2021 Jiahao Li, Bin Li, Yan Lu

In this paper, we propose a deep contextual video compression framework to enable a paradigm shift from predictive coding to conditional coding.

Video Compression

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game

no code implementations ICLR 2022 Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei

The deep policy gradient method has demonstrated promising results in many large-scale games, where the agent learns purely from its own experience.

Policy Gradient Methods

Uncertainty-Aware Deep Video Compression with Ensembles

no code implementations29 Sep 2021 Wufei Ma, Jiahao Li, Bin Li, Yan Lu

Deep learning-based video compression is a challenging task and many previous state-of-the-art learning-based video codecs use optical flows to exploit the temporal correlation between successive frames and then compress the residual error.

Video Compression

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

1 code implementation30 Aug 2021 Jiaqi Xu, Bin Li, Bo Lu, Yun-hui Liu, Qi Dou, Pheng-Ann Heng

Ten learning-based surgical tasks are built in the platform, which are common in the real autonomous surgical execution.

DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19

no code implementations3 Aug 2021 Chengtao Peng, Yunfei Long, Senhua Zhu, Dandan Tu, Bin Li

Our proposed network contains two stages: the first one is a lung region segmentation step and is used to exclude irrelevant factors, and the second is a detection and recommendation stage.

Medical Diagnosis

More but Correct: Generating Diversified and Entity-revised Medical Response

no code implementations3 Aug 2021 Bin Li, Encheng Chen, Hongru Liu, Yixuan Weng, Bin Sun, Shutao Li, Yongping Bai, Meiling Hu

Medical Dialogue Generation (MDG) is intended to build a medical dialogue system for intelligent consultation, which can communicate with patients in real-time, thereby improving the efficiency of clinical diagnosis with broad application prospects.

Dialogue Generation

Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization

1 code implementation6 Jul 2021 Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang

In this paper, we propose a self-adversarial training strategy and a reliable coarse-to-fine network that utilizes a self-attention mechanism to localize forged regions in forgery images.

Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition

1 code implementation22 Jun 2021 Jingye Chen, Bin Li, xiangyang xue

Inspired by the fact that humans can generalize to know how to write characters unseen before if they have learned stroke orders of some characters, we propose a stroke-based method by decomposing each character into a sequence of strokes, which are the most basic units of Chinese characters.

Bilateral Personalized Dialogue Generation with Contrastive Learning

1 code implementation15 Jun 2021 Bin Li, Hanjun Deng

Generating personalized responses is one of the major challenges in natural human-robot interaction.

Contrastive Learning Dialogue Generation +2

Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge

no code implementations9 May 2021 Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang

To address the issue, in this paper we extend an existing automatic cost learning scheme to JPEG, where the proposed scheme called JEC-RL (JPEG Embedding Cost with Reinforcement Learning) is explicitly designed to tailor the JPEG DCT structure.

reinforcement-learning reinforcement Learning

Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics

1 code implementation7 May 2021 Yuan Pu, Shaochen Wang, Xin Yao, Bin Li

The performance of deep reinforcement learning methods prone to degenerate when applied to environments with non-stationary dynamics.

Continuous Control

Sparse online relative similarity learning

no code implementations15 Apr 2021 Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li

This is clearly inefficient for high dimensional tasks due to its high memory and computational complexity.

Metric Learning

MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography

1 code implementation25 Mar 2021 Xianbo Mo, Shunquan Tan, Bin Li, Jiwu Huang

Recent research has shown that non-additive image steganographic frameworks effectively improve security performance through adjusting distortion distribution.

Self-Learning

Raven's Progressive Matrices Completion with Latent Gaussian Process Priors

1 code implementation22 Mar 2021 Fan Shi, Bin Li, xiangyang xue

In this paper we aim to solve the latter one by proposing a deep latent variable model, in which multiple Gaussian processes are employed as priors of latent variables to separately learn underlying abstract concepts from RPMs; thus the proposed model is interpretable in terms of concept-specific latent variables.

Answer Selection Gaussian Processes +1

Exploring The Effect of High-frequency Components in GANs Training

2 code implementations20 Mar 2021 Ziqiang Li, Pengfei Xia, Xue Rui, Bin Li

Generative Adversarial Networks (GANs) have the ability to generate images that are visually indistinguishable from real images.

Knowledge-Guided Object Discovery with Acquired Deep Impressions

1 code implementation19 Mar 2021 Jinyang Yuan, Bin Li, xiangyang xue

The proposed ADI framework focuses on the acquisition and utilization of knowledge, and is complementary to existing deep generative models proposed for compositional scene representation.

Object Discovery Scene Understanding

PENet: Towards Precise and Efficient Image Guided Depth Completion

1 code implementation1 Mar 2021 Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, Xiaojin Gong

More specifically, one branch inputs a color image and a sparse depth map to predict a dense depth map.

Depth Completion

Serial-parallel Multi-Scale Feature Fusion for Anatomy-Oriented Hand Joint Detection

no code implementations19 Feb 2021 Bin Li, Hong Fu, Ruimin Li, Wendi Wang

Accurate hand joints detection from images is a fundamental topic which is essential for many applications in computer vision and human computer interaction.

Anatomy

An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints

no code implementations NeurIPS 2021 Xin Liu, Bin Li, Pengyi Shi, Lei Ying

Thus, the overall computational complexity of our algorithm is similar to that of the linear UCB for unconstrained stochastic linear bandits.

Infant Cry Classification with Graph Convolutional Networks

no code implementations31 Jan 2021 Chunyan Ji, Ming Chen, Bin Li, Yi Pan

We propose an approach of graph convolutional networks for robust infant cry classification.

Classification General Classification +1

Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image

no code implementations13 Jan 2021 Xinghong Qin, Shunquan Tan, Bin Li, Weixuan Tang, Jiwu Huang

In this paper, we present a novel steganography scheme denoted as ITE-SYN (based on ITEratively adversarial perturbations onto a SYNchronized-directions sub-image), by which security data is embedded with synchronizing modification directions to enhance security and then iteratively increased perturbations are added onto a sub-image to reduce loss with cover class label of the target CNN classifier.

Image Steganography Steganalysis

Efficient Learning-based Scheduling for Information Freshness in Wireless Networks

no code implementations1 Jan 2021 Bin Li

Here, UCB estimates balance the tradeoff between exploration and exploitation in learning and are critical for yielding a small cumulative regret.

Decision Making Scheduling

Empirical Evaluation of Typical Sparse Fast Fourier Transform Algorithms

no code implementations15 Dec 2020 Bin Li, Zhikang Jiang, Jie Chen

Computing the Sparse Fast Fourier Transform(sFFT) of a K-sparse signal of size N has emerged as a critical topic for a long time.

DR 21 South Filament: a Parsec-sized Dense Gas Accretion Flow onto the DR 21 Massive Young Cluster

no code implementations4 Dec 2020 Bo Hu, Keping Qiu, Yue Cao, Junhao Liu, Yuwei Wang, Guangxing Li, Zhiqiang Shen, Juan Li, Junzhi Wang, Bin Li, Jian Dong

DR21 south filament (DR21SF) is a unique component of the giant network of filamentary molecular clouds in the north region of Cygnus X complex.

Astrophysics of Galaxies

Incentive Mechanism Design for ROI-constrained Auto-bidding

no code implementations4 Dec 2020 Bin Li, Xiao Yang, Daren Sun, Zhi Ji, Zhen Jiang, Cong Han, Dong Hao

Auto-bidding plays an important role in online advertising and has become a crucial tool for advertisers and advertising platforms to meet their performance objectives and optimize the efficiency of ad delivery.

Computer Science and Game Theory

Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning

no code implementations3 Dec 2020 Weiming Liu, Bin Li, Julian Togelius

Experimental results show that Neural ReCFR-B is competitive with the state-of-the-art neural CFR algorithms at a much lower training cost.

Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture

1 code implementation1 Dec 2020 Benedetta Tondi, Andrea Costranzo, Dequ Huang, Bin Li

The method is based on a Convolutional Neural Network (CNN) that is trained to solve the estimation as a standard regression problem.

Image Forensics Quantization +1

On Performance of Multiscale Sparse Fast Fourier Transform Algorithm

no code implementations11 Nov 2020 Bin Li, Zhikang Jiang, Jie Chen

The sFFT algorithms decrease the runtime and sampling complexity by taking advantage of the signal inherent characteristics that a large number of signals are sparse in the frequency domain(e. g., sensors, video data, audio, medical image, etc.).

On Performance of Sparse Fast Fourier Transform Algorithms Using the Aliasing Filter

no code implementations11 Nov 2020 Bin Li, Zhikang Jiang, Jie Chen

In the second part, we make two categories of experiments for computing the signals of different SNR, different N, different K by a standard testing platform and record the run time, percentage of the signal sampled and L0, L1, L2 error both in the exactly sparse case and general sparse case.

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

no code implementations CONLL 2020 Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O{'}Gorman, Nianwen Xue, Daniel Zeman

Extending a similar setup from the previous year, five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the English training and evaluation data for the task, packaged in a uniform graph abstraction and serialization; for four of these representation frameworks, additional training and evaluation data was provided for one additional language per framework.

Performance Analysis and Optimization for the MAC Protocol in UAV-based IoT Network

no code implementations22 Oct 2020 Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani

A modified three-dimensional Markov chain model adopting the quitting probability and cluster division is developed for the performance analysis.

Information Theory Information Theory

POND: Pessimistic-Optimistic oNline Dispatching

no code implementations20 Oct 2020 Xin Liu, Bin Li, Pengyi Shi, Lei Ying

This paper considers constrained online dispatching with unknown arrival, reward and constraint distributions.

Deformable DETR: Deformable Transformers for End-to-End Object Detection

14 code implementations ICLR 2021 Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai

DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance.

Real-Time Object Detection

Improving Resistance to Adversarial Deformations by Regularizing Gradients

1 code implementation29 Aug 2020 Pengfei Xia, Bin Li

Improving the resistance of deep neural networks against adversarial attacks is important for deploying models to realistic applications.

A New Perspective on Stabilizing GANs training: Direct Adversarial Training

1 code implementation19 Aug 2020 Ziqiang Li, Pengfei Xia, Rentuo Tao, Hongjing Niu, Bin Li

Quite a number of methods have been proposed to stabilize the training of GANs, the focuses of which were respectively put on the loss functions, regularization and normalization technologies, training algorithms, and model architectures.

Adversarial Attack Image Generation

A Systematic Survey of Regularization and Normalization in GANs

1 code implementation19 Aug 2020 Ziqiang Li, Muhammad Usman, Rentuo Tao, Pengfei Xia, Chaoyue Wang, Huanhuan Chen, Bin Li

Although a handful number of regularization and normalization methods have been proposed for GANs, to the best of our knowledge, there exists no comprehensive survey that primarily focuses on objectives and development of these methods, apart from some in-comprehensive and limited scope studies.

Data Augmentation

Multitask Non-Autoregressive Model for Human Motion Prediction

no code implementations13 Jul 2020 Bin Li, Jian Tian, Zhongfei Zhang, Hailin Feng, Xi Li

Human motion prediction, which aims at predicting future human skeletons given the past ones, is a typical sequence-to-sequence problem.

Action Recognition Human motion prediction +1

Epoch-evolving Gaussian Process Guided Learning

no code implementations25 Jun 2020 Jiabao Cui, XueWei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li

In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between the batch-level distribution and the global data distribution.

W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network

no code implementations11 Jun 2020 Hongwei Zhao, Chengtao Peng, Lei Liu, Bin Li

To further prove the generalization property of the proposed method, we applied the trained model on the DRIONS-DB dataset for OD segmentation and on the MESSIDOR dataset for exudate segmentation.

Multi-Task Learning

Dual-stream Maximum Self-attention Multi-instance Learning

no code implementations9 Jun 2020 Bin Li, Kevin W. Eliceiri

Recently, MIL models fully parameterized by neural networks have become popular due to the high flexibility and superior performance.

Graph Layer Security: Encrypting Information via Common Networked Physics

no code implementations5 Jun 2020 Zhuangkun Wei, Liang Wang, Schyler Chengyao Sun, Bin Li, Weisi Guo

Leveraging this, we propose for the first time, graph layer security (GLS), by exploiting the dependency in physical dynamics among network nodes for information encryption and decryption.

Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation

no code implementations23 May 2020 Ziqiang Li, Rentuo Tao, Hongjing Niu, Bin Li

Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner process of GANs is far from been understood.

Drug Discovery Image Generation +1

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

2 code implementations ‏‏‎ ‎ 2020 Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudre-Mauroux

Embeddings have become a key paradigm to learn graph represen-tations and facilitate downstream graph analysis tasks.

Integration of Automatic Sentence Segmentation and Lexical Analysis of Ancient Chinese based on BiLSTM-CRF Model

no code implementations LREC 2020 Ning Cheng, Bin Li, Liming Xiao, Changwei Xu, Sijia Ge, Xingyue Hao, Minxuan Feng

The basic tasks of ancient Chinese information processing include automatic sentence segmentation, word segmentation, part-of-speech tagging and named entity recognition.

Lexical Analysis named-entity-recognition +3

Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus

no code implementations LREC 2020 Li Song, Yuling Dai, Yihuan Liu, Bin Li, Weiguang Qu

The existing lexicons blur senses and frames of predicates, which needs to be refined to meet the tasks like word sense disambiguation and event extraction.

Event Extraction Word Sense Disambiguation

Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset

1 code implementation28 Apr 2020 Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang

Based on the Event-Stream dataset, we develop a deep neural network for grasping detection which consider the angle learning problem as classification instead of regression.

Robotic Grasping

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning

no code implementations6 Mar 2020 Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan

This task, however, has two main difficulties: (i) the non-stationary price series and complex asset correlations make the learning of feature representation very hard; (ii) the practicality principle in financial markets requires controlling both transaction and risk costs.

reinforcement-learning reinforcement Learning

Online Binary Space Partitioning Forests

no code implementations29 Feb 2020 Xuhui Fan, Bin Li, Scott A. Sisson

The Binary Space Partitioning-Tree~(BSP-Tree) process was recently proposed as an efficient strategy for space partitioning tasks.

General Classification regression

Bayesian Nonparametric Space Partitions: A Survey

no code implementations26 Feb 2020 Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson

Bayesian nonparametric space partition (BNSP) models provide a variety of strategies for partitioning a $D$-dimensional space into a set of blocks.

Smoothing Graphons for Modelling Exchangeable Relational Data

no code implementations25 Feb 2020 Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson

We initially propose the Integrated Smoothing Graphon (ISG) which introduces one smoothing parameter to the SBM graphon to generate continuous relational intensity values.

Link Prediction Stochastic Block Model

Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling

no code implementations24 Feb 2020 Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson

In this work, we leverage its interpretable modelling architecture and propose a deep dynamic probabilistic framework -- the Recurrent Dirichlet Belief Network~(Recurrent-DBN) -- to study interpretable hidden structures from dynamic relational data.

Link Prediction

Adjustable robust optimization in enabling optimal day-ahead economic dispatch of CCHP-MG considering uncertainties of wind-solar power and electric vehicle

no code implementations1 Feb 2020 Xianbang Chen, Yang Liu, Bin Li

At present, electric vehicles (EVs), small-scale wind power, and solar power have been increasingly integrated into modern power system via the combined cooling heating and power based microgrid (CCHP-MG).

Outlier Detection Ensemble with Embedded Feature Selection

no code implementations15 Jan 2020 Li Cheng, Yijie Wang, Xinwang Liu, Bin Li

Existing methods usually perform feature selection and outlier scoring separately, which would select feature subsets that may not optimally serve for outlier detection, leading to unsatisfying performance.

Outlier Detection

Waiting but not Aging: Optimizing Information Freshness Under the Pull Model

no code implementations17 Dec 2019 Fengjiao Li, Yu Sang, Zhongdong Liu, Bin Li, Huasen Wu, Bo Ji

Interestingly, we find that under this new Pull model, replication schemes capture a novel tradeoff between different values of the AoI across the servers (due to the random updating processes) and different response times across the servers, which can be exploited to minimize the expected AoI at the user's side.

Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar

no code implementations18 Nov 2019 Bin Li, Shuseng Wang, Jun Zhang, Xainbin Cao, Chenglin Zhao

Massive multiple-input multiple-output (MIMO) radar, enabled by millimeter-wave virtual MIMO techniques, provides great promises to the high-resolution automotive sensing and target detection in unmanned ground/aerial vehicles (UGA/UAV).

Diffusion and Auction on Graphs

no code implementations23 May 2019 Bin Li, Dong Hao, Dengji Zhao, Makoto Yokoo

Auction is the common paradigm for resource allocation which is a fundamental problem in human society.

Text Guided Person Image Synthesis

no code implementations CVPR 2019 Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang

This paper presents a novel method to manipulate the visual appearance (pose and attribute) of a person image according to natural language descriptions.

Image Generation Visual Question Answering

Binary Space Partitioning Forests

no code implementations22 Mar 2019 Xuhui Fan, Bin Li, Scott Anthony Sisson

The Binary Space Partitioning~(BSP)-Tree process is proposed to produce flexible 2-D partition structures which are originally used as a Bayesian nonparametric prior for relational modelling.

regression

The Binary Space Partitioning-Tree Process

no code implementations22 Mar 2019 Xuhui Fan, Bin Li, Scott Anthony Sisson

The Mondrian process represents an elegant and powerful approach for space partition modelling.

Rectangular Bounding Process

1 code implementation NeurIPS 2018 Xuhui Fan, Bin Li, Scott Anthony Sisson

Stochastic partition models divide a multi-dimensional space into a number of rectangular regions, such that the data within each region exhibit certain types of homogeneity.

Selling Multiple Items via Social Networks

no code implementations7 Mar 2019 Dengji Zhao, Bin Li, Junping Xu, Dong Hao, Nicholas R. Jennings

We consider a market where a seller sells multiple units of a commodity in a social network.

Learn a Prior for RHEA for Better Online Planning

no code implementations14 Feb 2019 Xin Tong, Weiming Liu, Bin Li

In this paper, we propose to learn a prior for RHEA in an offline manner by training a value network and a policy network.

OpenAI Gym

Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping

1 code implementation7 Feb 2019 Jinyang Yuan, Bin Li, xiangyang xue

Different from existing methods, the proposed method disentangles the attributes of an object into ``shape'' and ``appearance'' which are modeled separately by the mixture weights and the mixture components.

Sequential Bayesian Detection of Spike Activities from Fluorescence Observations

no code implementations31 Jan 2019 Zhuangkun Wei, Bin Li, Weisi Guo, Wenxiu Hu, Chenglin Zhao

Extracting and detecting spike activities from the fluorescence observations is an important step in understanding how neuron systems work.

Bayesian Inference

High-dimensional Metric Combining for Non-coherent Molecular Signal Detection

no code implementations31 Jan 2019 Zhuangkun Wei, Weisi Guo, Bin Li, Jerome Charmet, Chenglin Zhao

If the channel is unknown, we cannot easily achieve traditional coherent channel estimation and cancellation, and the impact of ISI will be more severe.

Affinity Derivation and Graph Merge for Instance Segmentation

1 code implementation ECCV 2018 Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu

We present an instance segmentation scheme based on pixel affinity information, which is the relationship of two pixels belonging to a same instance.

Instance Segmentation Semantic Segmentation

A Review for Weighted MinHash Algorithms

1 code implementation12 Nov 2018 Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang

In this review, we mainly categorize the Weighted MinHash algorithms into quantization-based approaches, "active index"-based ones and others, and show the evolution and inherent connection of the weighted MinHash algorithms, from the integer weighted MinHash algorithms to real-valued weighted MinHash ones (particularly the Consistent Weighted Sampling scheme).

Data Structures and Algorithms

Detection of Deep Network Generated Images Using Disparities in Color Components

1 code implementation22 Aug 2018 Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang

In this paper, we address the problem of detecting deep network generated (DNG) images by analyzing the disparities in color components between real scene images and DNG images.

Multimedia

Customer Sharing in Economic Networks with Costs

no code implementations18 Jul 2018 Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

To tackle this problem, we develop a novel mechanism called customer sharing mechanism (CSM) which incentivizes all sellers to share each other's sale information to their private customer groups.

Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space

no code implementations16 Jul 2018 Ruiguo Yu, Zhi-Qiang Liu, Xuewei Li, Wenhuan Lu, Mei Yu, Jianrong Wang, Bin Li

There have been a lot of researches based on the time series of the wind power or speed, but In fact, these time series cannot express the temporal and spatial changes of wind, which fundamentally hinders the advance of wind power prediction.

Time Series

Robust Fuzzy-Learning For Partially Overlapping Channels Allocation In UAV Communication Networks

no code implementations28 Jun 2018 Chaoqiong Fan, Bin Li, Jia Hou, Yi Wu, Weisi Guo, Chenglin Zhao

This allows the system to achieve a smoother and more robust performance by optimizing in an alternate space.

Model-Free Information Extraction in Enriched Nonlinear Phase-Space

no code implementations14 Apr 2018 Bin Li, Yueheng Lan, Weisi Guo, Chenglin Zhao

We benchmark the astonishing accuracy of our method on three diverse and challenging problems in: biology, medicine, and engineering.

A multi-branch convolutional neural network for detecting double JPEG compression

no code implementations16 Oct 2017 Bin Li, Hu Luo, Haoxin Zhang, Shunquan Tan, Zhongzhou Ji

In this paper, we present a CNN solution by using raw DCT (discrete cosine transformation) coefficients from JPEG images as input.

Improved Consistent Weighted Sampling Revisited

1 code implementation5 Jun 2017 Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu

Min-Hash is a popular technique for efficiently estimating the Jaccard similarity of binary sets.

Data Structures and Algorithms

The Power of Waiting for More than One Response in Minimizing the Age-of-Information

no code implementations17 Apr 2017 Yu Sang, Bin Li, Bo Ji

Interestingly, we find that under this new Pull model, replication schemes capture a novel tradeoff between different levels of information freshness and different response times across the servers, which can be exploited to minimize the expected AoI at the user's side.

Networking and Internet Architecture

Mechanism Design in Social Networks

no code implementations13 Feb 2017 Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

The challenge to the seller is to design a mechanism to incentivize the buyers, who are aware of the auction, to further propagate the information to their neighbors so that more buyers will participate in the auction and hence, the seller will be able to make a higher revenue.

Computer Science and Game Theory

Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding

no code implementations23 Nov 2016 Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang

The k-fold cross-validation is commonly used to evaluate the effectiveness of SVMs with the selected hyper-parameters.

Stochastic Patching Process

no code implementations23 May 2016 Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen

Due to constraints of partition strategy, existing models may cause unnecessary dissections in sparse regions when fitting data in dense regions.