Yong Yu

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Shanghai Jiao Tong University

Professor at Shanghai Jiao Tong University

Efficient Projection-Free Algorithms for Saddle Point Problems

The Frank-Wolfe algorithm is a classic method for constrained optimizati...
10/21/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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Model-based Policy Optimization with Unsupervised Model Adaptation

Model-based reinforcement learning methods learn a dynamics model with r...
10/19/2020 ∙ by Jian Shen, et al. ∙ 0 ∙ share

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GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning

The heavy traffic congestion problem has always been a concern for moder...
09/17/2020 ∙ by Chang Liu, et al. ∙ 9 ∙ share

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GIKT: A Graph-based Interaction Model for Knowledge Tracing

With the rapid development in online education, knowledge tracing (KT) h...
09/13/2020 ∙ by Yang Yang, et al. ∙ 19 ∙ share

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Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation achieves remarkable infere...
08/18/2020 ∙ by Lihua Qian, et al. ∙ 0 ∙ share

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Bidirectional Model-based Policy Optimization

Model-based reinforcement learning approaches leverage a forward dynamic...
07/04/2020 ∙ by Hang Lai, et al. ∙ 8 ∙ share

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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Interactive recommender system (IRS) has drawn huge attention because of...
06/18/2020 ∙ by Sijin Zhou, et al. ∙ 0 ∙ share

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Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

In this paper, we focus on reducing the labeled data size for sentence l...
04/17/2020 ∙ by Dongyu Ru, et al. ∙ 0 ∙ share

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Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip

Although Shannon theory states that it is asymptotically optimal to sepa...
04/03/2020 ∙ by Yuxuan Song, et al. ∙ 0 ∙ share

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AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Learning effective feature interactions is crucial for click-through rat...
03/25/2020 ∙ by Bin Liu, et al. ∙ 2 ∙ share

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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Recent advances in large-scale optimal transport have greatly extended i...
03/14/2020 ∙ by Guansong Lu, et al. ∙ 16 ∙ share

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Multi-Agent Interactions Modeling with Correlated Policies

In multi-agent systems, complex interacting behaviors arise due to the h...
01/04/2020 ∙ by Minghuan Liu, et al. ∙ 0 ∙ share

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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Domain adaptation aims to leverage the supervision signal of source doma...
11/21/2019 ∙ by Yuxuan Song, et al. ∙ 0 ∙ share

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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Sequential recommendation task aims to predict user preference over item...
11/10/2019 ∙ by Jiarui Qin, et al. ∙ 0 ∙ share

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Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Improving the efficiency of dispatching orders to vehicles is a research...
10/07/2019 ∙ by Ming Zhou, et al. ∙ 0 ∙ share

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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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Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

In many real-world problems, a team of agents need to collaborate to max...
09/10/2019 ∙ by Liheng Chen, et al. ∙ 0 ∙ share

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Towards Making the Most of BERT in Neural Machine Translation

GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
08/15/2019 ∙ by Jiacheng Yang, et al. ∙ 0 ∙ share

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Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence

Knowledge base is one of the main forms to represent information in a st...
05/25/2019 ∙ by Yaoming Zhu, et al. ∙ 0 ∙ share

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Dynamically Fused Graph Network for Multi-hop Reasoning

Text-based question answering (TBQA) has been studied extensively in rec...
05/16/2019 ∙ by Yunxuan Xiao, et al. ∙ 0 ∙ share

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CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Traffic signal control is an emerging application scenario for reinforce...
05/13/2019 ∙ by Huichu Zhang, et al. ∙ 0 ∙ share

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Deep Landscape Forecasting for Real-time Bidding Advertising

The emergence of real-time auction in online advertising has drawn huge ...
05/07/2019 ∙ by Kan Ren, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Yong Yu

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