Tao Qin

Orcid: 0000-0002-9095-0776

Affiliations:
  • Microsoft Research, Beijing, China


According to our database1, Tao Qin authored at least 311 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Personalized Federated Learning With Adaptive Batchnorm for Healthcare.
IEEE Trans. Big Data, December, 2024

Randomness Regularization With Simple Consistency Training for Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation.
CoRR, 2024

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning.
CoRR, 2024

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.
CoRR, 2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.
CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.
CoRR, 2024

Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PromptTTS 2: Describing and Generating Voices with Text Prompt.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Regeneration Learning: A Learning Paradigm for Data Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection.
IEEE Trans. Knowl. Data Eng., December, 2023

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Breaking the barriers of data scarcity in drug-target affinity prediction.
Briefings Bioinform., September, 2023

Generalizing to Unseen Domains: A Survey on Domain Generalization.
IEEE Trans. Knowl. Data Eng., August, 2023

MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Masked Contrastive Representation Learning for Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction.
Briefings Bioinform., January, 2023

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.
CoRR, 2023

PromptTTS 2: Describing and Generating Voices with Text Prompt.
CoRR, 2023

Extract and Attend: Improving Entity Translation in Neural Machine Translation.
CoRR, 2023

ResiDual: Transformer with Dual Residual Connections.
CoRR, 2023

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers.
CoRR, 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.
CoRR, 2023

N-Gram Nearest Neighbor Machine Translation.
CoRR, 2023

FABind: Fast and Accurate Protein-Ligand Binding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-view Molecular Pre-training.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Retrosynthetic Planning with Dual Value Networks.
Proceedings of the International Conference on Machine Learning, 2023

𝒪-GNN: incorporating ring priors into molecular modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Making Better Decision by Directly Planning in Continuous Control.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

De Novo Molecular Generation via Connection-aware Motif Mining.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target.
Proceedings of the Conference on Health, Inference, and Learning, 2023

Extract and Attend: Improving Entity Translation in Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Retrosynthesis Prediction with Local Template Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Discovering drug-target interaction knowledge from biomedical literature.
Bioinform., November, 2022

BioGPT: generative pre-trained transformer for biomedical text generation and mining.
Briefings Bioinform., November, 2022

Image-to-Image Translation: Methods and Applications.
IEEE Trans. Multim., 2022

Direct Molecular Conformation Generation.
Trans. Mach. Learn. Res., 2022

Multi-Teacher Distillation With Single Model for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

End-to-end entity-aware neural machine translation.
Mach. Learn., 2022

A study of BERT for context-aware neural machine translation.
Mach. Learn., 2022

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.
CoRR, 2022

Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design.
CoRR, 2022

Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations.
CoRR, 2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.
CoRR, 2022

Direct Molecular Conformation Generation.
CoRR, 2022

You May Not Need Ratio Clipping in PPO.
CoRR, 2022

Back translation for molecule generation.
Bioinform., 2022

SPRoBERTa: protein embedding learning with local fragment modeling.
Briefings Bioinform., 2022

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unified 2D and 3D Pre-Training of Molecular Representations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RetroGraph: Retrosynthetic Planning with Graph Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Analyzing and Mitigating Interference in Neural Architecture Search.
Proceedings of the International Conference on Machine Learning, 2022

Supervised Off-Policy Ranking.
Proceedings of the International Conference on Machine Learning, 2022

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Target-Side Input Augmentation for Sequence to Sequence Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.
Proceedings of the IEEE International Conference on Data Mining, 2022

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Revisiting Over-Smoothness in Text to Speech.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Dual Learning: Theoretical Study and an Algorithmic Extension.
SN Comput. Sci., 2021

Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Demonstration actor critic.
Neurocomputing, 2021

Federated Learning with Adaptive Batchnorm for Personalized Healthcare.
CoRR, 2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.
CoRR, 2021

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition.
CoRR, 2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature.
CoRR, 2021

AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style.
CoRR, 2021

A Survey on Neural Speech Synthesis.
CoRR, 2021

Dual-view Molecule Pre-training.
CoRR, 2021

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.
CoRR, 2021

Learning Structures for Deep Neural Networks.
CoRR, 2021

Learning Invariant Representations across Domains and Tasks.
CoRR, 2021

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Distributional Reinforcement Learning for Multi-Dimensional Reward Functions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Recovering Latent Causal Factor for Generalization to Distributional Shifts.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Generative Utility of Cyclic Conditionals.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Causal Semantic Representation for Out-of-Distribution Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

R-Drop: Regularized Dropout for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Speech-T: Transducer for Text to Speech and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation.
Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Adaptive Text to Speech for Spontaneous Style.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Independence-aware Advantage Estimation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Survey on Low-Resource Neural Machine Translation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Generalizing to Unseen Domains: A Survey on Domain Generalization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Temporally Correlated Task Scheduling for Sequence Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

IOT: Instance-wise Layer Reordering for Transformer Structures.
Proceedings of the 9th International Conference on Learning Representations, 2021

Return-Based Contrastive Representation Learning for Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

AdaSpeech: Adaptive Text to Speech for Custom Voice.
Proceedings of the 9th International Conference on Learning Representations, 2021

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Generating Real-World Time Series Data.
Proceedings of the IEEE International Conference on Data Mining, 2021

Denoispeech: Denoising Text to Speech with Frame-Level Noise Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Adaspeech 2: Adaptive Text to Speech with Untranscribed Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search.
Proceedings of the IEEE International Conference on Acoustics, 2021

MBNET: MOS Prediction for Synthesized Speech with Mean-Bias Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

UWSpeech: Speech to Speech Translation for Unwritten Languages.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning to Reweight with Deep Interactions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Joint Learning of Question Answering and Question Generation.
IEEE Trans. Knowl. Data Eng., 2020

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

Latent Causal Invariant Model.
CoRR, 2020

Learning Causal Semantic Representation for Out-of-Distribution Prediction.
CoRR, 2020

Masked Contrastive Representation Learning for Reinforcement Learning.
CoRR, 2020

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

Learning to Match Distributions for Domain Adaptation.
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

Multi-branch Attentive Transformer.
CoRR, 2020

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

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

MPNet: Masked and Permuted Pre-training for Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semi-Supervised Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RD$^2$: Reward Decomposition with Representation Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PopMAG: Pop Music Accompaniment Generation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

DualLip: A System for Joint Lip Reading and Generation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 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

MultiSpeech: Multi-Speaker Text to Speech with Transformer.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

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

Sequence Generation with Mixed Representations.
Proceedings of the 37th International Conference on Machine Learning, 2020

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

Towards Interpretable Reasoning over Paragraph Effects in Situation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Competitive Cloud Pricing for Long-Term Revenue Maximization.
J. Comput. Sci. Technol., 2019

A Study of Multilingual Neural Machine Translation.
CoRR, 2019

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

Understanding and Improving One-shot Neural Architecture Optimization.
CoRR, 2019

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering.
CoRR, 2019

Efficient Bidirectional Neural Machine Translation.
CoRR, 2019

Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation.
CoRR, 2019

Language Graph Distillation for Low-Resource Machine Translation.
CoRR, 2019

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

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation.
CoRR, 2019

Unpaired Image-to-Image Translation with Domain Supervision.
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

Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 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

Image-to-Image Translation with Multi-Path Consistency Regularization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deliberation Learning for Image-to-Image Translation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

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

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.
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

Competitive Bridge Bidding with Deep Neural Networks.
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

Unified Policy Optimization for Robust Reinforcement Learning.
Proceedings of The 11th Asian Conference on Machine Learning, 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

Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder.
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

Sentence-Wise Smooth Regularization for Sequence to Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Neural Architecture Optimization.
CoRR, 2018

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

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

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

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

Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Reinforcement Learning for Learning Rate Control.
CoRR, 2017

Question Answering and Question Generation as Dual Tasks.
CoRR, 2017

Learning What Data to Learn.
CoRR, 2017

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

Sequence Generation with Target Attention.
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

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

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

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

Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection.
Proceedings of the Communications and Networking, 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

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

Randomized Mechanisms for Selling Reserved Instances in Cloud.
CoRR, 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

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

Posting Prices for a Perishable Item: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 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

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

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem.
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

Computing Quantal Response Equilibrium for Sponsored Search Auctions.
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

Budgeted Bandit Problems with Continuous Random Costs.
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

Online Mechanism Design for Cloud Computing.
CoRR, 2014

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

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

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

2013
Revenue Optimization for Group-Buying Websites
CoRR, 2013

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

Introducing LETOR 4.0 Datasets.
CoRR, 2013

$K$-anonymous Signaling Scheme.
CoRR, 2013

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

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

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

2010
Resource Allocation in a Cognitive Radio System with Imperfect Channel State Estimation.
J. Electr. Comput. Eng., 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

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

An Empirical Study on Learning to Rank of Tweets.
Proceedings of the COLING 2010, 2010

Learning to Rank with Supplementary Data.
Proceedings of the Information Retrieval Technology, 2010

2009
Towards a trust aware cognitive radio architecture.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009

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

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

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

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

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

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

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

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

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


  Loading...