Search Results for author: Bin Li

Found 107 papers, 31 papers with code

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

On Designing Good Representation Learning Models

1 code implementation13 Jul 2021 Qinglin Li, Bin Li, Jonathan M Garibaldi, Guoping Qiu

We propose to train a model by maximizing its expressiveness while at the same time incorporating general priors such as model smoothness.

Decision Making Representation Learning

Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization

no code implementations6 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.

Scene Text Telescope: Text-Focused Scene Image Super-Resolution

1 code implementation CVPR 2021 Jingye Chen, Bin Li, xiangyang xue

Image super-resolution, which is often regarded as a preprocessing procedure of scene text recognition, aims to recover the realistic features from a low-resolution text image.

Image Super-Resolution Scene Text +1

Bilateral Personalized Dialogue Generation with Dynamic Persona-Aware Fusion

no code implementations15 Jun 2021 Bin Li, Bin Sun, Shutao Li

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

Dialogue Generation Human robot interaction +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.

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

no code implementations7 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

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning

1 code implementation14 Apr 2021 Yuan Pu, Shaochen Wang, Rui Yang, Xin Yao, Bin Li

Deep reinforcement learning methods have shown great performance on many challenging cooperative multi-agent tasks.

Multi-agent Reinforcement Learning Starcraft +1

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.

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

Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks

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

In this paper, we demonstrate that the discriminator in GANs is sensitive to such high-frequency differences that can not be distinguished by humans and the high-frequency components of images are not conducive to the training of GANs.

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.

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

no code implementations10 Feb 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

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

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

In this paper, a new CFR variant, Recursive CFR, is proposed, in which the cumulative regrets are recovered by Recursive Substitute Values (RSVs) that are recursively defined and independently calculated between iterations.

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

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

5 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.

Ranked #36 on Object Detection on COCO test-dev (using extra training data)

Object Detection

Improving Resistance to Adversarial Deformations by Regularizing Gradients

no code implementations29 Aug 2020 Pengfei Xia, Bin Li

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

Direct Adversarial Training: An Adaptive Method to Penalize Lipschitz Continuity of the Discriminator

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

With this discovery, we propose a Direct Adversarial Training (DAT) method for the training process of GANs to improve its performance.

Adversarial Attack Image Generation

A Systematic Survey of Regularization and Normalization in GANs

no code implementations19 Aug 2020 Ziqiang Li, Xintian Wu, Muhammad Usman, Rentuo Tao, Pengfei Xia, Huanhuan Chen, Bin Li

In this work, we conduct a comprehensive survey on the regularization and normalization techniques from different perspectives of GANs training.

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, 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 +2

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.

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.

Classification General Classification

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.

Feature Selection 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.

Reinforcement learning for bandwidth estimation and congestion control in real-time communications

no code implementations4 Dec 2019 Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke

Bandwidth estimation and congestion control for real-time communications (i. e., audio and video conferencing) remains a difficult problem, despite many years of research.

Fast-MUSIC for 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, assisted by millimeter-wave band 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.

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.

Online Portfolio Selection: A Survey

2 code implementations10 Dec 2012 Bin Li, Steven C. H. Hoi

This article aims to provide a timely and comprehensive survey for both machine learning and data mining researchers in academia and quantitative portfolio managers in the financial industry to help them understand the state-of-the-art and facilitate their research and practical applications.

Meta-Learning

An Adaptive Successive Cancellation List Decoder for Polar Codes with Cyclic Redundancy Check

no code implementations15 Aug 2012 Bin Li, Hui Shen, David Tse

In this letter, we propose an adaptive SC (Successive Cancellation)-List decoder for polar codes with CRC.

Information Theory Information Theory

PAMR: Passive aggressive mean reversion strategy for portfolio selection

1 code implementation Machine Learning 2012 Bin Li, Peilin Zhao, Steven C. H. Hoi

This article proposes a novel online portfolio selection strategy named “Passive Aggressive Mean Reversion” (PAMR).

CORN: Correlation-driven Non parametric Learning Approach for Portfolio Selection

1 code implementation ACM Transactions on Intelligent Systems and Technology. 2 2011 Bin Li, Steven C. H. Hoi, Vivekanand GOPALKRISHNAN

Machine learning techniques have been adopted to select portfolios from financial markets in some emerging intelligent business applications.

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