Weinan Zhang

According to our database1, Weinan Zhang authored at least 157 papers between 2011 and 2019.

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Bibliography

2019
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data.
ACM Trans. Inf. Syst., 2019

Signal Instructed Coordination in Team Competition.
CoRR, 2019

Bi-level Actor-Critic for Multi-agent Coordination.
CoRR, 2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds.
CoRR, 2019

Towards Making the Most of BERT in Neural Machine Translation.
CoRR, 2019

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation.
CoRR, 2019

Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence.
CoRR, 2019

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CoRR, 2019

Dynamically Fused Graph Network for Multi-hop Reasoning.
CoRR, 2019

CoLight: Learning Network-level Cooperation for Traffic Signal Control.
CoRR, 2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.
CoRR, 2019

Deep Landscape Forecasting for Real-time Bidding Advertising.
CoRR, 2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
CoRR, 2019

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs.
CoRR, 2019

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space.
CoRR, 2019

Lipschitz Generative Adversarial Nets.
CoRR, 2019

CommunityGAN: Community Detection with Generative Adversarial Nets.
CoRR, 2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.
Proceedings of the World Wide Web Conference, 2019

CommunityGAN: Community Detection with Generative Adversarial Nets.
Proceedings of the World Wide Web Conference, 2019

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework.
Proceedings of the World Wide Web Conference, 2019

Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Deep Landscape Forecasting for Real-time Bidding Advertising.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Lipschitz Generative Adversarial Nets.
Proceedings of the 36th International Conference on Machine Learning, 2019

CoT: Cooperative Training for Generative Modeling of Discrete Data.
Proceedings of the 36th International Conference on Machine Learning, 2019

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods.
Proceedings of the 7th International Conference on Learning Representations, 2019

Dynamically Fused Graph Network for Multi-hop Reasoning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Deep Recurrent Survival Analysis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Academic Reader: An Interactive Question Answering System on Academic Literatures.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising.
IEEE Trans. Knowl. Data Eng., 2018

Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps.
Sensors, 2018

Large-scale Interactive Recommendation with Tree-structured Policy Gradient.
CoRR, 2018

Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation.
CoRR, 2018

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods.
CoRR, 2018

TGE-PS: Text-driven Graph Embedding with Pairs Sampling.
CoRR, 2018

Factorized Q-Learning for Large-Scale Multi-Agent Systems.
CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.
CoRR, 2018

Deep Recurrent Survival Analysis.
CoRR, 2018

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.
CoRR, 2018

AceKG: A Large-scale Knowledge Graph for Academic Data Mining.
CoRR, 2018

On the Equilibrium of Query Reformulation and Document Retrieval.
CoRR, 2018

Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data.
CoRR, 2018

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances.
CoRR, 2018

Path-Level Network Transformation for Efficient Architecture Search.
CoRR, 2018

Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition.
CoRR, 2018

CoT: Cooperative Training for Generative Modeling.
CoRR, 2018

QA4IE: A Question Answering based Framework for Information Extraction.
CoRR, 2018

A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks.
CoRR, 2018

Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning.
CoRR, 2018

Neural Text Generation: Past, Present and Beyond.
CoRR, 2018

Collaborative Filtering with Graph-based Implicit Feedback.
CoRR, 2018

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising.
CoRR, 2018

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.
CoRR, 2018

Mean Field Multi-Agent Reinforcement Learning.
CoRR, 2018

Texygen: A Benchmarking Platform for Text Generation Models.
CoRR, 2018

Pedestrian Detection by Feature Selected Self-Similarity Features.
IEEE Access, 2018

A Bootstrapping Framework With Interactive Information Modeling for Network Alignment.
IEEE Access, 2018

Improving Negative Sampling for Word Representation using Self-embedded Features.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

Texygen: A Benchmarking Platform for Text Generation Models.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

QA4IE: A Question Answering Based Framework for Information Extraction.
Proceedings of the Semantic Web - ISWC 2018, 2018

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning to Design Games: Strategic Environments in Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On the Equilibrium of Query Reformulation and Document Retrieval.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Path-Level Network Transformation for Efficient Architecture Search.
Proceedings of the 35th International Conference on Machine Learning, 2018

Activation Maximization Generative Adversarial Nets.
Proceedings of the 6th International Conference on Learning Representations, 2018

AceKG: A Large-scale Knowledge Graph for Academic Data Mining.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Study of AI Population Dynamics with Million-agent Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Wasserstein Distance Guided Representation Learning for Domain Adaptation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Neural Stochastic Volatility Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Long Text Generation via Adversarial Training with Leaked Information.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Neural Link Prediction over Aligned Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Efficient Architecture Search by Network Transformation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting.
Foundations and Trends in Information Retrieval, 2017

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.
CoRR, 2017

A Neural Stochastic Volatility Model.
CoRR, 2017

GraphGAN: Graph Representation Learning with Generative Adversarial Nets.
CoRR, 2017

Improving Negative Sampling for Word Representation using Self-embedded Features.
CoRR, 2017

Face Transfer with Generative Adversarial Network.
CoRR, 2017

Long Text Generation via Adversarial Training with Leaked Information.
CoRR, 2017

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.
CoRR, 2017

Generative Adversarial Nets with Labeled Data by Activation Maximization.
CoRR, 2017

Managing Risk of Bidding in Display Advertising.
CoRR, 2017

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning.
CoRR, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
CoRR, 2017

Adversarial Representation Learning for Domain Adaptation.
CoRR, 2017

Unsupervised Diverse Colorization via Generative Adversarial Networks.
CoRR, 2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.
CoRR, 2017

Reinforcement Learning for Architecture Search by Network Transformation.
CoRR, 2017

We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cataloguing Treatments Discussed and Used in Online Autism Communities.
Proceedings of the 26th International Conference on World Wide Web, 2017

Managing Risk of Bidding in Display Advertising.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Unsupervised Diverse Colorization via Generative Adversarial Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Aggregating Crowd Wisdoms with Label-aware Autoencoders.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

An adaptive coding and modulation based multicast scheme to reduce bandwidth consumption in the next generation satellite TV systems.
Proceedings of the 2017 International Conference on Computing, 2017

Volume Ranking and Sequential Selection in Programmatic Display Advertising.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Optimal real-time bidding for display advertising.
PhD thesis, 2016

Feedback Control of Real-Time Display Advertising.
CoRR, 2016

Optimal Real-Time Bidding Frameworks Discussion.
CoRR, 2016

Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction.
CoRR, 2016

Implicit Look-alike Modelling in Display Ads: Transfer Collaborative Filtering to CTR Estimation.
CoRR, 2016

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.
CoRR, 2016

Learning text representation using recurrent convolutional neural network with highway layers.
CoRR, 2016

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting.
CoRR, 2016

Product-based Neural Networks for User Response Prediction.
CoRR, 2016

Feedback Control of Real-Time Display Advertising.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Optimizing Factorization Machines for Top-N Context-Aware Recommendations.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Functional Bid Landscape Forecasting for Display Advertising.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Product-Based Neural Networks for User Response Prediction.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction.
Proceedings of the Advances in Information Retrieval, 2016

Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation.
Proceedings of the Advances in Information Retrieval, 2016

Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms.
Proceedings of the Advances in Information Retrieval, 2016

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Collective Noise Contrastive Estimation for Policy Transfer Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Statistical Arbitrage Mining for Display Advertising.
CoRR, 2015

An Empirical Study on Display Ad Impression Viewability Measurements.
CoRR, 2015

Risk-Hedged Venture Capital Investment Recommendation.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Statistical Arbitrage Mining for Display Advertising.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Bid keyword suggestion in sponsored search based on competitiveness and relevance.
Inf. Process. Manage., 2014

Real-Time Bidding Benchmarking with iPinYou Dataset.
CoRR, 2014

Optimal real-time bidding for display advertising.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
MeDetect: A LOD-Based System for Collective Entity Annotation in Biomedicine.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Optimizing top-n collaborative filtering via dynamic negative item sampling.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

To personalize or not: a risk management perspective.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Interactive collaborative filtering.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

An empirical study of top-n recommendation for venture finance.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia.
ACM TIST, 2012

SVDFeature: a toolkit for feature-based collaborative filtering.
J. Mach. Learn. Res., 2012

Serendipitous Personalized Ranking for Top-N Recommendation.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Collaborative filtering with short term preferences mining.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data.
Proceedings of the ISWC 2012 Posters & Demonstrations Track, 2012

A semantic approach to recommending text advertisements for images.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Local implicit feedback mining for music recommendation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Joint optimization of bid and budget allocation in sponsored search.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

A Semantic-Driven Music Recommendation Model for Digital Photo Albums.
Proceedings of the Semantic Web and Web Science, 2012

Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones.
Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2011
Feature-Based Matrix Factorization
CoRR, 2011

LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness between Named Entities.
Proceedings of the Semantic Web - Joint International Semantic Technology Conference, 2011


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