Yong Yu

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Shanghai Jiao Tong University

Professor at Shanghai Jiao Tong University

Signal Instructed Coordination in Team Competition

Most existing models of multi-agent reinforcement learning (MARL) adopt ...
09/10/2019 ∙ by Liheng Chen, et al. ∙ 11 ∙ share

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Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation

With the rapid growth of the express industry, intelligent warehouses th...
11/14/2018 ∙ by Haifeng Zhang, et al. ∙ 6 ∙ share

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Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis

This paper aims to bring a new perspective for understanding GANs, by de...
07/02/2018 ∙ by Zhiming Zhou, et al. ∙ 4 ∙ share

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Path-Level Network Transformation for Efficient Architecture Search

We introduce a new function-preserving transformation for efficient neur...
06/07/2018 ∙ by Han Cai, et al. ∙ 2 ∙ share

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Face Transfer with Generative Adversarial Network

Face transfer animates the facial performances of the character in the t...
10/17/2017 ∙ by Runze Xu, et al. ∙ 0 ∙ share

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Efficient Architecture Search by Network Transformation

Techniques for automatically designing deep neural network architectures...
07/16/2017 ∙ by Han Cai, et al. ∙ 0 ∙ share

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Learning to Design Games: Strategic Environments in Deep Reinforcement Learning

In typical reinforcement learning (RL), the environment is assumed given...
07/05/2017 ∙ by Haifeng Zhang, et al. ∙ 0 ∙ share

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Wasserstein Distance Guided Representation Learning for Domain Adaptation

Domain adaptation aims at generalizing a high-performance learner on a t...
07/05/2017 ∙ by Jian Shen, et al. ∙ 0 ∙ share

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Real-Time Bidding by Reinforcement Learning in Display Advertising

The majority of online display ads are served through real-time bidding ...
01/10/2017 ∙ by Han Cai, et al. ∙ 0 ∙ share

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SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

As a new way of training generative models, Generative Adversarial Nets ...
09/18/2016 ∙ by Lantao Yu, et al. ∙ 0 ∙ share

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Activation Maximization Generative Adversarial Nets

Class label information has been empirically proven to be very useful in...
03/06/2017 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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Supervised Hashing based on Energy Minimization

Recently, supervised hashing methods have attracted much attention since...
12/02/2017 ∙ by Zihao Hu, et al. ∙ 0 ∙ share

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Unsupervised Diverse Colorization via Generative Adversarial Networks

Colorization of grayscale images has been a hot topic in computer vision...
02/22/2017 ∙ by Yun Cao, et al. ∙ 0 ∙ share

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A Parallel and Efficient Algorithm for Learning to Match

Many tasks in data mining and related fields can be formalized as matchi...
10/22/2014 ∙ by Jingbo Shang, et al. ∙ 0 ∙ share

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Feature-Based Matrix Factorization

Recommender system has been more and more popular and widely used in man...
09/11/2011 ∙ by Tianqi Chen, et al. ∙ 0 ∙ share

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A Latent Clothing Attribute Approach for Human Pose Estimation

As a fundamental technique that concerns several vision tasks such as im...
11/16/2014 ∙ by Weipeng Zhang, et al. ∙ 0 ∙ share

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Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification

In this paper, we utilize structured learning to simultaneously address ...
04/19/2014 ∙ by Jie Shen, et al. ∙ 0 ∙ share

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Robust Recovery of Subspace Structures by Low-Rank Representation

In this work we address the subspace recovery problem. Given a set of da...
10/14/2010 ∙ by Guangcan Liu, et al. ∙ 0 ∙ share

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Long Text Generation via Adversarial Training with Leaked Information

Automatically generating coherent and semantically meaningful text has m...
09/24/2017 ∙ by Jiaxian Guo, et al. ∙ 0 ∙ share

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A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia

We present a question answering system over DBpedia, filling the gap bet...
10/16/2015 ∙ by Chenhao Zhu, et al. ∙ 0 ∙ share

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Unsupervised Deep Domain Adaptation for Pedestrian Detection

This paper addresses the problem of unsupervised domain adaptation on th...
02/09/2018 ∙ by Lihang Liu, et al. ∙ 0 ∙ share

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Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising

Real-time bidding (RTB) based display advertising has become one of the ...
03/01/2018 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Neural Text Generation: Past, Present and Beyond

This paper presents a systematic survey on recent development of neural ...
03/15/2018 ∙ by Sidi Lu, et al. ∙ 0 ∙ share

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Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition

We study the problem of named entity recognition (NER) from electronic m...
04/24/2018 ∙ by Zhenghui Wang, et al. ∙ 0 ∙ share

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CoT: Cooperative Training for Generative Modeling

We propose Cooperative Training (CoT) for training generative models tha...
04/11/2018 ∙ by Sidi Lu, et al. ∙ 0 ∙ share

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An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning

In this paper, we conduct an empirical study on discovering the ordered ...
09/13/2017 ∙ by Yaodong Yang, et al. ∙ 0 ∙ share

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Texygen: A Benchmarking Platform for Text Generation Models

We introduce Texygen, a benchmarking platform to support research on ope...
02/06/2018 ∙ by Yaoming Zhu, et al. ∙ 0 ∙ share

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A Study of AI Population Dynamics with Million-agent Reinforcement Learning

We conduct an empirical study on discovering the ordered collective dyna...
09/13/2017 ∙ by Yaodong Yang, et al. ∙ 0 ∙ share

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Assured Data Deletion with Fine-grained Access Control for Fog-based Industrial Applications

The advances of cloud computing, fog computing and Internet of Things (I...
04/09/2018 ∙ by Yong Yu, et al. ∙ 0 ∙ share

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A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks

Malicious calls, i.e., telephony spams and scams, have been a long-stand...
04/07/2018 ∙ by Huichen Li, et al. ∙ 0 ∙ share

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Collaborative Filtering with Graph-based Implicit Feedback

Introducing consumed items as users' implicit feedback in matrix factori...
03/09/2018 ∙ by Minzhe Niu, et al. ∙ 0 ∙ share

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QA4IE: A Question Answering based Framework for Information Extraction

Information Extraction (IE) refers to automatically extracting structure...
04/10/2018 ∙ by Lin Qiu, et al. ∙ 0 ∙ share

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Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising

In online advertising, the Internet users may be exposed to a sequence o...
08/11/2018 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence

We introduce MAgent, a platform to support research and development of m...
12/02/2017 ∙ by Lianmin Zheng, et al. ∙ 0 ∙ share

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Deep Recurrent Survival Analysis

Survival analysis is a hotspot in statistical research for modeling time...
09/07/2018 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data

User response prediction is a crucial component for personalized informa...
07/01/2018 ∙ by Yanru Qu, et al. ∙ 0 ∙ share

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TGE-PS: Text-driven Graph Embedding with Pairs Sampling

In graphs with rich text information, constructing expressive graph repr...
09/12/2018 ∙ by Liheng Chen, et al. ∙ 0 ∙ share

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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods

Adam is shown not being able to converge to the optimal solution in cert...
09/29/2018 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting

Spatio-temporal (ST) data, which represent multiple time series data cor...
09/28/2018 ∙ by Zheyi Pan, et al. ∙ 0 ∙ share

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Content Protection in Named Data Networking: Challenges and Potential Solutions

Information-Centric Networks (ICN) are promising alternatives to current...
10/26/2018 ∙ by Yong Yu, et al. ∙ 0 ∙ share

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LRCoin: Leakage-resilient Cryptocurrency Based on Bitcoin for Data Trading in IoT

Currently, the number of Internet of Thing (IoT) devices making up the I...
10/26/2018 ∙ by Yong Yu, et al. ∙ 0 ∙ share

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Guiding the One-to-one Mapping in CycleGAN via Optimal Transport

CycleGAN is capable of learning a one-to-one mapping between two data di...
11/15/2018 ∙ by Guansong Lu, et al. ∙ 0 ∙ share

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Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Reinforcement learning (RL) has recently been introduced to interactive ...
11/14/2018 ∙ by Haokun Chen, et al. ∙ 0 ∙ share

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Lipschitz Generative Adversarial Nets

In this paper we study the convergence of generative adversarial network...
02/15/2019 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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An Efficient Linkable Group Signature for Payer Tracing in Anonymous Cryptocurrencies

Cryptocurrencies, led by bitcoin launched in 2009, have obtained wide at...
02/09/2019 ∙ by Lingyue Zhang, et al. ∙ 0 ∙ share

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Blockchain based Privacy-Preserving Software Updates with Proof-of-Delivery for Internet of Things

A large number of IoT devices are connected via the Internet. However, m...
02/11/2019 ∙ by Yanqi Zhao, et al. ∙ 0 ∙ share

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A Blockchain-based Self-tallying Voting Scheme in Decentralized IoT

The Internet of Things (IoT) is experiencing explosive growth and has ga...
02/11/2019 ∙ by Yannan Li, et al. ∙ 0 ∙ share

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Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

In this paper we propose a hybrid architecture of actor-critic algorithm...
03/04/2019 ∙ by Zhou Fan, et al. ∙ 0 ∙ share

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Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs

Lipschitz continuity recently becomes popular in generative adversarial ...
04/02/2019 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

User response prediction, which models the user preference w.r.t. the pr...
05/02/2019 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Yong Yu

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