Tie-Yan Liu

According to our database1, Tie-Yan Liu authored at least 299 papers between 2001 and 2020.

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Bibliography

2020
Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data.
IEEE Trans. Signal Process., 2020

Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity.
IEEE Trans. Neural Networks Learn. Syst., 2020

Searching Better Architectures for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Target transfer Q-learning and its convergence analysis.
Neurocomputing, 2020

DualLip: A System for Joint Lip Reading and Generation.
CoRR, 2020

GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training.
CoRR, 2020

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis.
CoRR, 2020

PopMAG: Pop Music Accompaniment Generation.
CoRR, 2020

LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition.
CoRR, 2020

Taking Notes on the Fly Helps BERT Pre-training.
CoRR, 2020

Learning to Match Distributions for Domain Adaptation.
CoRR, 2020

Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary.
CoRR, 2020

Learn to Use Future Information in Simultaneous Translation.
CoRR, 2020

Neural Architecture Search with GBDT.
CoRR, 2020

Learning to Teach with Deep Interactions.
CoRR, 2020

Rethinking Positional Encoding in Language Pre-training.
CoRR, 2020

Dynamic of Stochastic Gradient Descent with State-Dependent Noise.
CoRR, 2020

Modeling Lost Information in Lossy Image Compression.
CoRR, 2020

Multi-branch Attentive Transformer.
CoRR, 2020

UWSpeech: Speech to Speech Translation for Unwritten Languages.
CoRR, 2020

MC-BERT: Efficient Language Pre-Training via a Meta Controller.
CoRR, 2020

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.
CoRR, 2020

Dual Learning: Theoretical Study and an Algorithmic Extension.
CoRR, 2020

Invertible Image Rescaling.
CoRR, 2020

LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning.
CoRR, 2020

MPNet: Masked and Permuted Pre-training for Language Understanding.
CoRR, 2020

Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator.
CoRR, 2020

Suphx: Mastering Mahjong with Deep Reinforcement Learning.
CoRR, 2020

Semi-Supervised Neural Architecture Search.
CoRR, 2020

On Layer Normalization in the Transformer Architecture.
CoRR, 2020

LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DeepSinger: Singing Voice Synthesis with Data Mined From the Web.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Gradient Perturbation is Underrated for Differentially Private Convex Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Incorporating BERT into Neural Machine Translation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

SEEK: Segmented Embedding of Knowledge Graphs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Study of Non-autoregressive Model for Sequence Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SimulSpeech: End-to-End Simultaneous Speech to Text Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Light Multi-Segment Activation for Model Compression.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Transductive Ensemble Learning for Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Convergence analysis of distributed stochastic gradient descent with shuffling.
Neurocomputing, 2019

OptQuant: Distributed training of neural networks with optimized quantization mechanisms.
Neurocomputing, 2019

A Study of Multilingual Neural Machine Translation.
CoRR, 2019

Gradient Perturbation is Underrated for Differentially Private Convex Optimization.
CoRR, 2019

Microsoft Research Asia's Systems for WMT19.
CoRR, 2019

LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm.
CoRR, 2019

Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View.
CoRR, 2019

Beyond Exponentially Discounted Sum: Automatic Learning of Return Function.
CoRR, 2019

Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy.
CoRR, 2019

Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network.
CoRR, 2019

Reinforcement Learning with Dynamic Boltzmann Softmax Updates.
CoRR, 2019

Positively Scale-Invariant Flatness of ReLU Neural Networks.
CoRR, 2019

Microsoft Research Asia's Systems for WMT19.
Proceedings of the Fourth Conference on Machine Translation, 2019

Fully Parameterized Quantile Function for Distributional Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Machine Translation with Soft Prototype.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

FastSpeech: Fast, Robust and Controllable Text to Speech.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributional Reward Decomposition for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Normalization Helps Training of Quantized LSTM.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Investment Behaviors Can Tell What Inside: Exploring Stock Intrinsic Properties for Stock Trend Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion.
Proceedings of the Interspeech 2019, 2019

BN-invariant Sharpness Regularizes the Training Model to Better Generalization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Regret of Convex and Smooth Functions.
Proceedings of the 36th International Conference on Machine Learning, 2019

MASS: Masked Sequence to Sequence Pre-training for Language Generation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Almost Unsupervised Text to Speech and Automatic Speech Recognition.
Proceedings of the 36th International Conference on Machine Learning, 2019

Efficient Training of BERT by Progressively Stacking.
Proceedings of the 36th International Conference on Machine Learning, 2019

Multi-Agent Dual Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Multilingual Neural Machine Translation with Knowledge Distillation.
Proceedings of the 7th International Conference on Learning Representations, 2019

G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.
Proceedings of the 7th International Conference on Learning Representations, 2019

Representation Degeneration Problem in Training Natural Language Generation Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Machine Translation With Weakly Paired Documents.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Monolingual Data at Scale for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multilingual Neural Machine Translation with Language Clustering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hint-Based Training for Non-Autoregressive Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Depth Growing for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Unsupervised Pivot Translation for Distant Languages.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Soft Contextual Data Augmentation for Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Capacity Control of ReLU Neural Networks by Basis-Path Norm.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Non-Autoregressive Machine Translation with Auxiliary Regularization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Trust Region Evolution Strategies.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Computational pricing in Internet era.
Frontiers Comput. Sci., 2018

Target Transfer Q-Learning and Its Convergence Analysis.
CoRR, 2018

Neural Architecture Optimization.
CoRR, 2018

Achieving Human Parity on Automatic Chinese to English News Translation.
CoRR, 2018

Train Feedfoward Neural Network with Layer-wise Adaptive Rate via Approximating Back-matching Propagation.
CoRR, 2018

Optimizing Neural Networks in the Equivalent Class Space.
CoRR, 2018

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

On the Local Hessian in Back-propagation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Teach with Dynamic Loss Functions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Architecture Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

FRAGE: Frequency-Agnostic Word Representation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dense Information Flow for Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Efficient Sequence Learning with Group Recurrent Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Investor-Imitator: A Framework for Trading Knowledge Extraction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Differential Equations for Modeling Asynchronous Algorithms.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Model-Level Dual Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Binary-Valued Gates for Robust LSTM Training.
Proceedings of the 35th International Conference on Machine Learning, 2018

Learning to Teach.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Study of Reinforcement Learning for Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Conditional Image-to-Image Translation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Double Path Networks for Sequence to Sequence Learning.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Slim-DP: A Multi-Agent System for Communication-Efficient Distributed Deep Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Adversarial Neural Machine Translation.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Word Attention for Sequence to Sequence Text Understanding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Introduction: special issue of selected papers from ACML 2015.
Mach. Learn., 2017

Finite budget analysis of multi-armed bandit problems.
Neurocomputing, 2017

Slim-DP: A Light Communication Data Parallelism for DNN.
CoRR, 2017

Reinforcement Learning for Learning Rate Control.
CoRR, 2017

Learning What Data to Learn.
CoRR, 2017

Distributed Machine Learning: Foundations, Trends, and Practices.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Scale Effects in Web Search.
Proceedings of the Web and Internet Economics - 13th International Conference, 2017

Word-Entity Duet Representations for Document Ranking.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Sequence Generation with Target Attention.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decoding with Value Networks for Neural Machine Translation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dual Inference for Machine Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sequence Prediction with Unlabeled Data by Reward Function Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Efficient Mechanism Design for Online Scheduling (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Gradient Descent with Delay Compensation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Dual Supervised Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Convolutional neural networks for posed and spontaneous expression recognition.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Pricing Optimization for Selling Reusable Resources.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Randomized Mechanisms for Selling Reserved Instances in Cloud Computing.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Revenue Maximization for Finitely Repeated Ad Auctions.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Generalization Error Bounds for Optimization Algorithms via Stability.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Ranking-Oriented Collaborative Filtering: A Listwise Approach.
ACM Trans. Inf. Syst., 2016

A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information.
IEEE Trans. Cybern., 2016

Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks.
IEEE Trans. Computers, 2016

Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph.
J. Comput. Sci. Technol., 2016

Efficient Mechanism Design for Online Scheduling.
J. Artif. Intell. Res., 2016

Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.
CoRR, 2016

Randomized Mechanisms for Selling Reserved Instances in Cloud.
CoRR, 2016

Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves.
CoRR, 2016

A Communication-Efficient Parallel Algorithm for Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

LightRNN: Memory and Computation-Efficient Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual Learning for Machine Translation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Budgeted Multi-Armed Bandits with Multiple Plays.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Asynchronous Accelerated Stochastic Gradient Descent.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bag-of-Entities Representation for Ranking.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Modeling Bounded Rationality for Sponsored Search Auctions.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Best Action Selection in a Stochastic Environment.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Optimal Sample Size for Adword Auctions: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Online Non-Preemptive Story Scheduling in Web Advertising.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

On the Depth of Deep Neural Networks: A Theoretical View.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge.
ACM Trans. Inf. Syst., 2015

Global Optimization for Advertisement Selection in Sponsored Search.
J. Comput. Sci. Technol., 2015

Solving Verbal Comprehension Questions in IQ Test by Knowledge-Powered Word Embedding.
CoRR, 2015

Large Margin Deep Neural Networks: Theory and Algorithms.
CoRR, 2015

LightLDA: Big Topic Models on Modest Computer Clusters.
Proceedings of the 24th International Conference on World Wide Web, 2015

Listwise Collaborative Filtering.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Optimal Pricing for the Competitive and Evolutionary Cloud Market.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Thompson Sampling for Budgeted Multi-Armed Bandits.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Selling Reserved Instances in Cloud Computing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Competitive Pricing for Cloud Computing in an Evolutionary Market.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

New Mechanism for Reservation in Cloud Computing.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Mechanism Design for Daily Deals.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Preface.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Mechanism Learning with Mechanism Induced Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Generalization Analysis for Game-Theoretic Machine Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Sponsored Search Auctions: Recent Advances and Future Directions.
ACM Trans. Intell. Syst. Technol., 2014

Advertiser-centric approach to understand user click behavior in sponsored search.
Inf. Sci., 2014

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

LightLDA: Big Topic Models on Modest Compute Clusters.
CoRR, 2014

Online Mechanism Design for Cloud Computing.
CoRR, 2014

Generalization Analysis for Game-Theoretic Machine Learning.
CoRR, 2014

WordRep: A Benchmark for Research on Learning Word Representations.
CoRR, 2014

Learning Effective Word Embedding using Morphological Word Similarity.
CoRR, 2014

Sampling dilemma: towards effective data sampling for click prediction in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Generalized second price auction with probabilistic broad match.
Proceedings of the ACM Conference on Economics and Computation, 2014

Knowledge-Powered Deep Learning for Word Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Probabilistic Model for Learning Multi-Prototype Word Embeddings.
Proceedings of the COLING 2014, 2014

Co-learning of Word Representations and Morpheme Representations.
Proceedings of the COLING 2014, 2014

RC-NET: A General Framework for Incorporating Knowledge into Word Representations.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Generalized second price auctions with value externalities.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Agent Behavior Prediction and Its Generalization Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Learning Deep Representations for Graph Clustering.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Online learning for auction mechanism in bandit setting.
Decis. Support Syst., 2013

Revenue Optimization for Group-Buying Websites
CoRR, 2013

Pure Price of Anarchy for Generalized Second Price Auction
CoRR, 2013

A Theoretical Analysis of NDCG Type Ranking Measures
CoRR, 2013

Introducing LETOR 4.0 Datasets.
CoRR, 2013

$K$-anonymous Signaling Scheme.
CoRR, 2013

Predicting advertiser bidding behaviors in sponsored search by rationality modeling.
Proceedings of the 22nd International World Wide Web Conference, 2013

Optimal Allocation for Chunked-Reward Advertising.
Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Internet advertising: theory and practice.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Psychological advertising: exploring user psychology for click prediction in sponsored search.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search.
Proceedings of the IJCAI 2013, 2013

A Theoretical Analysis of NDCG Type Ranking Measures.
Proceedings of the COLT 2013, 2013

Multi-Armed Bandit with Budget Constraint and Variable Costs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
A noise-tolerant graphical model for ranking.
Inf. Process. Manag., 2012

Relational click prediction for sponsored search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Convergence Analysis for Weighted Joint Strategy Fictitious Play in Generalized Second Price Auction.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Large-scale graph mining and learning for information retrieval.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 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 unified optimization framework for auction and guaranteed delivery in online advertising.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Study on Potential Head Advertisers in Sponsored Search.
Proceedings of the Information Retrieval Technology, 2012

2011
A conversation with MSRA researchers.
SIGKDD Explorations, 2011

Future directions in learning to rank.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Page importance computation based on Markov processes.
Inf. Retr., 2011

Selecting optimal training data for learning to rank.
Inf. Process. Manag., 2011

Ranking on large-scale graphs with rich metadata.
Proceedings of the 20th International Conference on World Wide Web, 2011

Let web spammers expose themselves.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Semi-supervised ranking on very large graphs with rich metadata.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Learning to Rank for Information Retrieval.
Springer, ISBN: 978-3-642-14266-6, 2011

2010
LETOR: A benchmark collection for research on learning to rank for information retrieval.
Inf. Retr., 2010

A general approximation framework for direct optimization of information retrieval measures.
Inf. Retr., 2010

A framework to compute page importance based on user behaviors.
Inf. Retr., 2010

Introduction to special issue on learning to rank for information retrieval.
Inf. Retr., 2010

Tendency correlation analysis for direct optimization of evaluation measures in information retrieval.
Inf. Retr., 2010

Actively predicting diverse search intent from user browsing behaviors.
Proceedings of the 19th International Conference on World Wide Web, 2010

Ranking with query-dependent loss for web search.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

A New Probabilistic Model for Rank Aggregation.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Two-Layer Generalization Analysis for Ranking Using Rademacher Average.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Learning to rank for information retrieval (LR4IR 2009).
SIGIR Forum, 2009

Learning to Rank for Information Retrieval.
Found. Trends Inf. Retr., 2009

Statistical Consistency of Top-k Ranking.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Ranking Measures and Loss Functions in Learning to Rank.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Generalization analysis of listwise learning-to-rank algorithms.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A general markov framework for page importance computation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Learning to rank for information retrieval (LR4IR 2008).
SIGIR Forum, 2008

An active feedback framework for image retrieval.
Pattern Recognit. Lett., 2008

Query-level loss functions for information retrieval.
Inf. Process. Manag., 2008

Learning to rank relational objects and its application to web search.
Proceedings of the 17th International Conference on World Wide Web, 2008

Directly optimizing evaluation measures in learning to rank.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

BrowseRank: letting web users vote for page importance.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Query dependent ranking using K-nearest neighbor.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Global Ranking Using Continuous Conditional Random Fields.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Listwise approach to learning to rank: theory and algorithm.
Proceedings of the Machine Learning, 2008

Query-level stability and generalization in learning to rank.
Proceedings of the Machine Learning, 2008

2007
Learning to rank for information retrieval (LR4IR 2007).
SIGIR Forum, 2007

Topic distillation via sub-site retrieval.
Inf. Process. Manag., 2007

Ranking Websites: A Probabilistic View.
Internet Math., 2007

Supervised rank aggregation.
Proceedings of the 16th International Conference on World Wide Web, 2007

FRank: a ranking method with fidelity loss.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Ranking with multiple hyperplanes.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Feature selection for ranking.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Learning to rank: from pairwise approach to listwise approach.
Proceedings of the Machine Learning, 2007

<i>N</i> -Step PageRank for Web Search.
Proceedings of the Advances in Information Retrieval, 2007

Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization.
Proceedings of the Advances in Information Retrieval, 2007

Link analysis using time series of web graphs.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006
Time-dependent semantic similarity measure of queries using historical click-through data.
Proceedings of the 15th international conference on World Wide Web, 2006

AggregateRank: bringing order to web sites.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Adapting ranking SVM to document retrieval.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Heterogeneous Information Integration in Hierarchical Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Level-Biased Statistics in the Hierarchical Structure of the Web.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

Event detection from evolution of click-through data.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Detecting Link Spam Using Temporal Information.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Fast Spectral Clustering of Data Using Sequential Matrix Compression.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning.
IEEE Trans. Knowl. Data Eng., 2005

Support vector machines classification with a very large-scale taxonomy.
SIGKDD Explorations, 2005

An experimental study on large-scale web categorization.
Proceedings of the 14th international conference on World Wide Web, 2005

Site abstraction for rare category classification in large-scale web directory.
Proceedings of the 14th international conference on World Wide Web, 2005

An Editor Labeling Model for Training Set Expansion in Web Categorization.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Webpage Importance Analysis Using Conditional Markov Random Walk.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

A study of relevance propagation for web search.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Effective Feature Extraction for Play Detection in American Football Video.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Web image clustering by consistent utilization of visual features and surrounding texts.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Similarity space projection for web image search and annotation.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Level-Based Link Analysis.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Calculating Webpage Importance with Site Structure Constraints.
Proceedings of the Information Retrieval Technology, 2005

Subsite Retrieval: A Novel Concept for Topic Distillation.
Proceedings of the Information Retrieval Technology, 2005

2004
Shot reconstruction degree: a novel criterion for key frame selection.
Pattern Recognit. Lett., 2004

A new cut detection algorithm with constant false-alarm ratio for video segmentation.
J. Vis. Commun. Image Represent., 2004

Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

A Linear Approximation Based Method for Noise-Robust and Illumination-Invariant Image Change Detection.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Time-constraint boost for tv commercials detection.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Frame interpolation scheme using inertia motion prediction.
Signal Process. Image Commun., 2003

Dynamic selection and effective compression of key frames for video abstraction.
Pattern Recognit. Lett., 2003

2002
Constant false-alarm ratio processing for video cut detection.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Adaptive motion tracking for fast block motion estimation.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001


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