Yong Yu

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Shanghai Jiao Tong University

Professor at Shanghai Jiao Tong University

Improving Knowledge Tracing via Pre-training Question Embeddings

Knowledge tracing (KT) defines the task of predicting whether students c...
12/09/2020 ∙ by Yunfei Liu, et al. ∙ 0 ∙ share

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Sobolev Wasserstein GAN

Wasserstein GANs (WGANs), built upon the Kantorovich-Rubinstein (KR) dua...
12/07/2020 ∙ by Minkai Xu, et al. ∙ 10 ∙ share

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U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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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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AI Chiller: An Open IoT Cloud Based Machine Learning Framework for the Energy Saving of Building HVAC System via Big Data Analytics on the Fusion of BMS and Environmental Data

Energy saving and carbon emission reduction in buildings is one of the k...
10/09/2020 ∙ by Yong Yu, 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. ∙ 1 ∙ 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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Yong Yu

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