Search Results for author: Yang Zhou

Found 80 papers, 19 papers with code

More is Better: Enhancing Open-Domain Dialogue Generation via Multi-Source Heterogeneous Knowledge

1 code implementation EMNLP 2021 Sixing Wu, Ying Li, Minghui Wang, Dawei Zhang, Yang Zhou, Zhonghai Wu

Despite achieving remarkable performance, previous knowledge-enhanced works usually only use a single-source homogeneous knowledge base of limited knowledge coverage.

Dialogue Generation

PENet: A Joint Panoptic Edge Detection Network

1 code implementation15 Mar 2023 Yang Zhou, Giuseppe Loianno

In recent years, compact and efficient scene understanding representations have gained popularity in increasing situational awareness and autonomy of robotic systems.

Edge Detection Multi-Task Learning +1

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment

no code implementations14 Mar 2023 Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Cheng, Choon Hua Thng, Xinxing Xu, Yong liu, Huazhu Fu

To enable MedRPG to locate nuanced medical findings with better region-phrase correspondences, we further propose Tri-attention Context contrastive alignment (TaCo).

Phrase Grounding Visual Grounding

Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator

1 code implementation6 Mar 2023 Qing Song, Yang Zhou, Mengjie Hu, Chun Liu

Temporal action localization in videos presents significant challenges in the field of computer vision.

Temporal Action Localization

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

no code implementations16 Feb 2023 Zichong Wang, Yang Zhou, Meikang Qiu, Israat Haque, Laura Brown, Yi He, Jianwu Wang, David Lo, Wenbin Zhang

The increasing use of Machine Learning (ML) software can lead to unfair and unethical decisions, thus fairness bugs in software are becoming a growing concern.

Benchmarking Fairness

Cost-minimization predictive energy management of a postal-delivery fuel cell electric vehicle with intelligent battery State-of-Charge Planner

no code implementations28 Dec 2022 Yang Zhou, Fuzeng Li, Xianfeng Xu, Zhen Zhang, Alexandre Ravey, Marie-Cécile Péra, Ruiqing Ma

Fuel cell electric vehicles have earned substantial attentions in recent decades due to their high-efficiency and zero-emission features, while the high operating costs remain the major barrier towards their large-scale commercialization.

energy management Management

Visual Fault Detection of Multi-scale Key Components in Freight Trains

no code implementations26 Nov 2022 Yang Zhang, Yang Zhou, Huilin Pan, Bo Wu, Guodong Sun

Fault detection for key components in the braking system of freight trains is critical for ensuring railway transportation safety.

Fault Detection

Multi-Job Intelligent Scheduling with Cross-Device Federated Learning

no code implementations24 Nov 2022 Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou

The system model enables a parallel training process of multiple jobs, with a cost model based on the data fairness and the training time of diverse devices during the parallel training process.

Fairness Federated Learning +1

ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning

no code implementations10 Nov 2022 Yang Zhou, Yuda Song, Hui Qian, Xin Du

Image restoration tasks have achieved tremendous performance improvements with the rapid advancement of deep neural networks.

Image Restoration

Pixel-Aligned Non-parametric Hand Mesh Reconstruction

no code implementations17 Oct 2022 Shijian Jiang, Guwen Han, Danhang Tang, Yang Zhou, Xiang Li, Jiming Chen, Qi Ye

The decoder aggregate both local image features in pixels and geometric features in vertices.

Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint

no code implementations17 Oct 2022 Haoming Li, Xinzhuo Lin, Yang Zhou, Xiang Li, Yuchi Huo, Jiming Chen, Qi Ye

To tackle the challenge, we introduce an intermediate variable for grasp contact areas to constrain the grasp generation; in other words, we factorize the mapping into two sequential stages by assuming that grasping poses are fully constrained given contact maps: 1) we first learn contact map distributions to generate the potential contact maps for grasps; 2) then learn a mapping from the contact maps to the grasping poses.

Grasp Generation Robotic Grasping

Morig: Motion-aware rigging of character meshes from point clouds

1 code implementation17 Oct 2022 Zhan Xu, Yang Zhou, Li Yi, Evangelos Kalogerakis

We present MoRig, a method that automatically rigs character meshes driven by single-view point cloud streams capturing the motion of performing characters.

Rethinking Performance Gains in Image Dehazing Networks

1 code implementation23 Sep 2022 Yuda Song, Yang Zhou, Hui Qian, Xin Du

Image dehazing is an active topic in low-level vision, and many image dehazing networks have been proposed with the rapid development of deep learning.

Image Dehazing Single Image Dehazing

Modular Degradation Simulation and Restoration for Under-Display Camera

1 code implementation23 Sep 2022 Yang Zhou, Yuda Song, Xin Du

Together with a pixel-wise discriminator and supervised loss, we can train the generator to simulate the UDC imaging degradation process.

Image Restoration

Learning Visibility for Robust Dense Human Body Estimation

1 code implementation23 Aug 2022 Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang

An alternative approach is to estimate dense vertices of a predefined template body in the image space.

Skeleton-free Pose Transfer for Stylized 3D Characters

no code implementations28 Jul 2022 Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou

We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging.

Pose Transfer

Accelerated Federated Learning with Decoupled Adaptive Optimization

no code implementations14 Jul 2022 Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou

The federated learning (FL) framework enables edge clients to collaboratively learn a shared inference model while keeping privacy of training data on clients.

Federated Learning

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing

no code implementations22 Jun 2022 Jiayin Jin, Zeru Zhang, Yang Zhou, Lingfei Wu

Theoretical analysis is conducted to derive that the Nemytskii operator is smooth and induces a Frechet differentiable smooth manifold.


Play It Cool: Dynamic Shifting Prevents Thermal Throttling

no code implementations22 Jun 2022 Yang Zhou, Feng Liang, Ting-Wu Chin, Diana Marculescu

Machine learning (ML) has entered the mobile era where an enormous number of ML models are deployed on edge devices.

A Lightweight NMS-free Framework for Real-time Visual Fault Detection System of Freight Trains

no code implementations25 May 2022 Guodong Sun, Yang Zhou, Huilin Pan, Bo Wu, Ye Hu, Yang Zhang

In this paper, we propose a lightweight NMS-free framework to achieve real-time detection and high accuracy simultaneously.

Fault Detection

Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection

no code implementations CVPR 2022 Zhuoling Li, Zhan Qu, Yang Zhou, Jianzhuang Liu, Haoqian Wang, Lihui Jiang

To tackle this problem, we propose a depth solving system that fully explores the visual clues from the subtasks in M3OD and generates multiple estimations for the depth of each target.

Depth Estimation Monocular 3D Object Detection +1

3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis

no code implementations18 May 2022 Yang Zhou, Zhiwen Yang, HUI ZHANG, Eric I-Chao Chang, Yubo Fan, Yan Xu

(2) We adopt a task-driven strategy that couples a segmentation task with a generative adversarial network (GAN) framework to improve the translation performance.


None Class Ranking Loss for Document-Level Relation Extraction

1 code implementation1 May 2022 Yang Zhou, Wee Sun Lee

This ignores the context of entity pairs and the label correlations between the none class and pre-defined classes, leading to sub-optimal predictions.

Document-level Relation Extraction Emotion Classification +2

FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server

no code implementations25 Apr 2022 Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou

Despite achieving remarkable performance, Federated Learning (FL) suffers from two critical challenges, i. e., limited computational resources and low training efficiency.

Federated Learning

Multi-Robot Collaborative Perception with Graph Neural Networks

no code implementations5 Jan 2022 Yang Zhou, Jiuhong Xiao, Yue Zhou, Giuseppe Loianno

Multi-robot systems such as swarms of aerial robots are naturally suited to offer additional flexibility, resilience, and robustness in several tasks compared to a single robot by enabling cooperation among the agents.

Decision Making Monocular Depth Estimation +1

Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations

1 code implementation CVPR 2022 Zhixuan Zhong, Liangyu Chai, Yang Zhou, Bailin Deng, Jia Pan, Shengfeng He

This paper presents a Generative prior ReciprocAted Invertible rescaling Network (GRAIN) for generating faithful high-resolution (HR) images from low-resolution (LR) invertible images with an extreme upscaling factor (64x).

Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory

no code implementations NeurIPS 2021 Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou

Despite achieving remarkable efficiency, traditional network pruning techniques often follow manually-crafted heuristics to generate pruned sparse networks.

Network Pruning

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.

BIG-bench Machine Learning 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.

reinforcement-learning reinforcement Learning

$K$-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.

TAG 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

3 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.

Talking Face Generation Talking Head Generation

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 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.


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 Transparent objects

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 +5

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 +1

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 +1

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 Trajectory Clustering

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 +1

Structure Learning of Probabilistic Graphical Models: A Comprehensive Survey

2 code implementations29 Nov 2011 Yang Zhou

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


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