Search Results for author: Yang Zhou

Found 44 papers, 9 papers with code

Multi-Modal Multi-Instance Learning for Retinal Disease Recognition

no code implementations25 Sep 2021 Xirong Li, Yang Zhou, Jie Wang, Hailan Lin, Jianchun Zhao, Dayong Ding, Weihong Yu, Youxin Chen

We propose in this paper Multi-Modal Multi-Instance Learning (MM-MIL) for selectively fusing CFP and OCT modalities.

Virtual synchronous generator of PV generation without energy storage for frequency support in autonomous microgrid

no code implementations4 Jul 2021 Cheng Zhong, Huayi Li, Yang Zhou, Yueming Lv, Jikai Chen, Yang Li

PV generation reserve a part of the active power in accordance with the pre-defined power versus voltage curve.

Focus on Local: Detecting Lane Marker from Bottom Up via Key Point

no code implementations CVPR 2021 Zhan Qu, Huan Jin, Yang Zhou, Zhen Yang, Wei zhang

Mainstream lane marker detection methods are implemented by predicting the overall structure and deriving parametric curves through post-processing.

Lane Detection

Towards a Better Understanding of Linear Models for Recommendation

no code implementations27 May 2021 Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou

Through the derivation and analysis of the closed-form solutions for two basic regression and matrix factorization approaches, we found these two approaches are indeed inherently related but also diverge in how they "scale-down" the singular values of the original user-item interaction matrix.

From Distributed Machine Learning to Federated Learning: A Survey

no code implementations29 Apr 2021 Ji Liu, Jizhou Huang, Yang Zhou, Xuhong LI, Shilei Ji, Haoyi Xiong, Dejing Dou

Because of laws or regulations, the distributed data and computing resources cannot be directly shared among different regions or organizations for machine learning tasks.

Federated Learning

Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation

1 code implementation16 Apr 2021 Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou

With the guidance of known aligned entities in the context of multiple random walks, an adversarial knowledge translation model is developed to fill and translate masked entities in pairwise random walks from two KGs.

Entity Alignment Knowledge Graphs +1

Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach

no code implementations28 Mar 2021 Tianyi Chen, Meng Wang, Siyuan Gong, Yang Zhou, Bin Ran

In this study, we propose a rotation-based connected automated vehicle (CAV) distributed cooperative control strategy for an on-ramp merging scenario.

CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge

no code implementations3 Mar 2021 Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao

In this paper, we present CogNet, a knowledge base (KB) dedicated to integrating three types of knowledge: (1) linguistic knowledge from FrameNet, which schematically describes situations, objects and events.

Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate

no code implementations1 Mar 2021 Ran Yi, Yang Zhou, Xin Wang, Zhiyuan Liu, Xiaotian Li, Bin Ran

This paper presents an infrastructure assisted constrained connected automated vehicles (CAVs) trajectory optimization method on curved roads.

Optimal Dynamic Futures Portfolios Under a Multiscale Central Tendency Ornstein-Uhlenbeck Model

no code implementations24 Feb 2021 Tim Leung, Yang Zhou

We study the problem of dynamically trading multiple futures whose underlying asset price follows a multiscale central tendency Ornstein-Uhlenbeck (MCTOU) model.

Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

no code implementations14 Jan 2021 Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, Yang Zhou

However, universal language models may perform weakly in these fake news detection for lack of large-scale annotated data and sufficient semantic understanding of domain-specific knowledge.

Fake News Detection Language Modelling

Defect extremal surface as the holographic counterpart of Island formula

no code implementations14 Dec 2020 Feiyu Deng, Jinwei Chu, Yang Zhou

We propose defect extremal surface as the holographic counterpart of boundary quantum extremal surface.

High Energy Physics - Theory Strongly Correlated Electrons General Relativity and Quantum Cosmology Quantum Physics

Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach

no code implementations3 Dec 2020 Haotian Shi, Yang Zhou, Keshu Wu, Xin Wang, Yangxin Lin, Bin Ran

This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep reinforcement learning (DRL) algorithm, which enhances the string stability of mixed traffic, car following efficiency, and energy efficiency.

$K$-theoretic quasimap wall-crossing

no code implementations2 Dec 2020 Ming Zhang, Yang Zhou

In this paper, we prove a K-theoretic wall-crossing formula for $\epsilon$-stable quasimaps for all GIT targets in all genera.

Algebraic Geometry Mathematical Physics Mathematical Physics 14N35

Adversarial Attacks on Deep Graph Matching

no code implementations NeurIPS 2020 Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou

Despite achieving remarkable performance, deep graph learning models, such as node classification and network embedding, suffer from harassment caused by small adversarial perturbations.

Adversarial Attack Density Estimation +5

Manifold Partition Discriminant Analysis

no code implementations23 Nov 2020 Yang Zhou, Shiliang Sun

We propose a novel algorithm for supervised dimensionality reduction named Manifold Partition Discriminant Analysis (MPDA).

Supervised dimensionality reduction

Neural Latent Dependency Model for Sequence Labeling

no code implementations10 Nov 2020 Yang Zhou, Yong Jiang, Zechuan Hu, Kewei Tu

One limitation of linear chain CRFs is their inability to model long-range dependencies between labels.

A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction

no code implementations WS 2020 Yang Zhou, Tong Zhao, Meng Jiang

Textual patterns (e. g., Country's president Person) are specified and/or generated for extracting factual information from unstructured data.

Text Generation

RigNet: Neural Rigging for Articulated Characters

1 code implementation1 May 2020 Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Chris Landreth, Karan Singh

We present RigNet, an end-to-end automated method for producing animation rigs from input character models.

MakeItTalk: Speaker-Aware Talking-Head Animation

2 code implementations27 Apr 2020 Yang Zhou, Xintong Han, Eli Shechtman, Jose Echevarria, Evangelos Kalogerakis, DIngzeyu Li

We present a method that generates expressive talking heads from a single facial image with audio as the only input.

Multi-boundary entanglement in Chern-Simons theory with finite gauge groups

no code implementations3 Mar 2020 Siddharth Dwivedi, Andrea Addazi, Yang Zhou, Puneet Sharma

We study the multi-boundary entanglement structure of the states prepared in (1+1) and (2+1) dimensional Chern-Simons theory with finite discrete gauge group $G$.

High Energy Physics - Theory Mesoscale and Nanoscale Physics Quantum Physics

A Video Analysis Method on Wanfang Dataset via Deep Neural Network

no code implementations28 Feb 2020 Jinlong Kang, Jiaxiang Zheng, Heng Bai, Xiaoting Xue, Yang Zhou, Jun Guo

To solve this problem, in this paper, we describe the new function for real-time multi-object detection in sports competition and pedestrians flow detection in public based on deep learning.

Object Detection

ETNet: Error Transition Network for Arbitrary Style Transfer

1 code implementation NeurIPS 2019 Chunjin Song, Zhijie Wu, Yang Zhou, Minglun Gong, Hui Huang

Numerous valuable efforts have been devoted to achieving arbitrary style transfer since the seminal work of Gatys et al.

Style Transfer

Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model

no code implementations25 Oct 2019 Yangxin Lin, Ping Wang, Yang Zhou, Fan Ding, Chen Wang, Huachun Tan

However, the traffic micro-simulation accuracy of car following models in a platoon level, especially during traffic oscillations, still needs to be enhanced.

Optimal Dynamic Futures Portfolio in a Regime-Switching Market Framework

no code implementations14 Oct 2019 Tim Leung, Yang Zhou

We study the problem of dynamically trading futures in a regime-switching market.

Predicting Animation Skeletons for 3D Articulated Models via Volumetric Nets

no code implementations22 Aug 2019 Zhan Xu, Yang Zhou, Evangelos Kalogerakis, Karan Singh

We present a learning method for predicting animation skeletons for input 3D models of articulated characters.

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

2 code implementations ICCV 2019 Yang Zhou, Zachary While, Evangelos Kalogerakis

In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings.

3D Object Recognition Scene Generation

A Top-Down Approach for the Multiple Exercises and Valuation of Employee Stock Options

no code implementations9 Jun 2019 Tim Leung, Yang Zhou

We propose a new framework to value employee stock options (ESOs) that captures multiple exercises of different quantities over time.

VisemeNet: Audio-Driven Animator-Centric Speech Animation

no code implementations24 May 2018 Yang Zhou, Zhan Xu, Chris Landreth, Evangelos Kalogerakis, Subhransu Maji, Karan Singh

We present a novel deep-learning based approach to producing animator-centric speech motion curves that drive a JALI or standard FACS-based production face-rig, directly from input audio.

Graphics

Non-Stationary Texture Synthesis by Adversarial Expansion

1 code implementation11 May 2018 Yang Zhou, Zhen Zhu, Xiang Bai, Dani Lischinski, Daniel Cohen-Or, Hui Huang

We demonstrate that this conceptually simple approach is highly effective for capturing large-scale structures, as well as other non-stationary attributes of the input exemplar.

Texture Synthesis

Full 3D Reconstruction of Transparent Objects

no code implementations9 May 2018 Bojian Wu, Yang Zhou, Yiming Qian, Minglun Gong, Hui Huang

Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades.

3D Reconstruction

Triplet-Center Loss for Multi-View 3D Object Retrieval

1 code implementation CVPR 2018 Xinwei He, Yang Zhou, Zhichao Zhou, Song Bai, Xiang Bai

Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with deep metric learning for 3D object retrieval is more or less neglected.

3D Object Recognition 3D Object Retrieval +4

A Large-scale Distributed Video Parsing and Evaluation Platform

no code implementations29 Nov 2016 Kai Yu, Yang Zhou, Da Li, Zhang Zhang, Kaiqi Huang

Visual surveillance systems have become one of the largest data sources of Big Visual Data in real world.

A Tube-and-Droplet-based Approach for Representing and Analyzing Motion Trajectories

no code implementations10 Sep 2016 Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu

Our approach first leverages the complete information from given trajectories to construct a thermal transfer field which provides a context-rich way to describe the global motion pattern in a scene.

3D Action Recognition Anomaly Detection

Cascaded Interactional Targeting Network for Egocentric Video Analysis

no code implementations CVPR 2016 Yang Zhou, Bingbing Ni, Richang Hong, Xiaokang Yang, Qi Tian

Firstly, a novel EM-like learning framework is proposed to train the pixel-level deep convolutional neural network (DCNN) by seamlessly integrating weakly supervised data (i. e., massive bounding box annotations) with a small set of strongly supervised data (i. e., fully annotated hand segmentation maps) to achieve state-of-the-art hand segmentation performance.

Action Recognition Hand Segmentation

Unsupervised Trajectory Clustering via Adaptive Multi-Kernel-Based Shrinkage

no code implementations ICCV 2015 Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha

Facing to the challenges of trajectory clustering, e. g., large variations within a cluster and ambiguities across clusters, we first introduce an adaptive multi-kernel-based estimation process to estimate the `shrunk' positions and speeds of trajectories' points.

Anomaly Detection

Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition

no code implementations CVPR 2015 Yang Zhou, Bingbing Ni, Richang Hong, Meng Wang, Qi Tian

Secondly, these object regions are matched and tracked across frames to form a large spatio-temporal graph based on the appearance matching and the dense motion trajectories through them.

Fine-grained Action Recognition Human-Object Interaction Detection

Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey

3 code implementations29 Nov 2011 Yang Zhou

Probabilistic graphical models combine the graph theory and probability theory to give a multivariate statistical modeling.

Cannot find the paper you are looking for? You can Submit a new open access paper.