← Authors

Tao Qin

151 papers · 2008–2025 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (34) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (110) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (34) ❓ The Questioner πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) ⚑ Prolific Year (29) πŸ’Ž Century Club (151) πŸ—ƒοΈ Keyword Collector (72)

Conferences

NIPS (34) ICLR (21) IJCAI (19) AAAI (15) ACL (12) ICML (12) EMNLP (10) IJCNLP (8) INTERSPEECH (6) NAACL (5) ACML (4) COLING (2) CVPR (2) EACL (1)

Top co-authors

Tie-yan Liu (110) Xu Tan (57) Yingce Xia (43) Lijun Wu (36) Di He (24) Fei Tian (17) Shufang Xie (17) Li Zhao (16) Jinhua Zhu (14) Yichong Leng (13)

Keywords

neural machine translation (39) reinforcement learning (10) non-autoregressive translation (9) machine translation (8) knowledge distillation (7) language modeling (7) sequence generation (7) transfer learning (6) automatic speech recognition (6) representation learning (6) neural network (6) attention mechanism (6) data augmentation (5) text summarization (5) monolingual datum (5) low-resource language (4) text generation (4) recurrent neural network (4) multi-task learning (4) transformer architecture (4)

Papers

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization IJCAI 2025
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 2025
Attention-based Conditional Random Field for Financial Fraud Detection IJCAI 2025
Fast and Accurate Blind Flexible Docking ICLR 2025
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection ICLR 2025
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NIPS 2024
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information EACL 2024
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation IJCAI 2024
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models ICML 2024
Regeneration Learning: A Learning Paradigm for Data Generation AAAI 2024
PromptTTS 2: Describing and Generating Voices with Text Prompt ICLR 2024
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers ICLR 2024
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning ACL 2024
CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering CVPR 2024
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling ICLR 2023
Retrosynthesis Prediction with Local Template Retrieval AAAI 2023
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition AAAI 2023
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model AAAI 2023
Retrosynthetic Planning with Dual Value Networks ICML 2023
MolXPT: Wrapping Molecules with Text for Generative Pre-training ACL 2023
Extract and Attend: Improving Entity Translation in Neural Machine Translation ACL 2023
FABind: Fast and Accurate Protein-Ligand Binding NIPS 2023
Making Better Decision by Directly Planning in Continuous Control ICLR 2023
De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023
Supervised Off-Policy Ranking ICML 2022
Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NIPS 2022
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation NIPS 2022
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling NIPS 2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis NIPS 2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NIPS 2022
AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios INTERSPEECH 2022
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech INTERSPEECH 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022
Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations NAACL 2022
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior ICLR 2022
Revisiting Over-Smoothness in Text to Speech ACL 2022
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation NAACL 2022
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method EMNLP 2022
Exploiting Class Activation Value for Partial-Label Learning ICLR 2022
Target-Side Input Augmentation for Sequence to Sequence Generation ICLR 2022
GNN is a Counter? Revisiting GNN for Question Answering ICLR 2022
R-Drop: Regularized Dropout for Neural Networks NIPS 2021
Return-Based Contrastive Representation Learning for Reinforcement Learning ICLR 2021
IOT: Instance-wise Layer Reordering for Transformer Structures ICLR 2021
AdaSpeech: Adaptive Text to Speech for Custom Voice ICLR 2021
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech ICLR 2021
Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition NIPS 2021
On the Generative Utility of Cyclic Conditionals NIPS 2021
Temporally Correlated Task Scheduling for Sequence Learning ICML 2021
Adaptive Text to Speech for Spontaneous Style INTERSPEECH 2021
Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching INTERSPEECH 2021
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation IJCNLP 2021
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training IJCNLP 2021
Learning to Reweight with Deep Interactions AAAI 2021
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint AAAI 2021
UWSpeech: Speech to Speech Translation for Unwritten Languages AAAI 2021
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost NAACL 2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling ACL 2021
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training ACL 2021
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation ACL 2021
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling IJCNLP 2021
A Survey on Low-Resource Neural Machine Translation IJCAI 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization IJCAI 2021
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NIPS 2021
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning NIPS 2021
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition EMNLP 2021
Independence-aware Advantage Estimation IJCAI 2021
Learning Causal Semantic Representation for Out-of-Distribution Prediction NIPS 2021
Speech-T: Transducer for Text to Speech and Beyond NIPS 2021
Semi-Supervised Neural Architecture Search NIPS 2020
RD$^2$: Reward Decomposition with Representation Decomposition NIPS 2020
MPNet: Masked and Permuted Pre-training for Language Understanding NIPS 2020
Incorporating BERT into Neural Machine Translation ICLR 2020
Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020
SimulSpeech: End-to-End Simultaneous Speech to Text Translation ACL 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020
Transductive Ensemble Learning for Neural Machine Translation AAAI 2020
MultiSpeech: Multi-Speaker Text to Speech with Transformer INTERSPEECH 2020
Sequence Generation with Mixed Representations ICML 2020
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation IJCAI 2020
Towards Interpretable Reasoning over Paragraph Effects in Situation EMNLP 2020
Multilingual Neural Machine Translation with Language Clustering IJCNLP 2019
Distributional Reward Decomposition for Reinforcement Learning NIPS 2019
Neural Machine Translation with Soft Prototype NIPS 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019
FastSpeech: Fast, Robust and Controllable Text to Speech NIPS 2019
Normalization Helps Training of Quantized LSTM NIPS 2019
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input AAAI 2019
Trust Region Evolution Strategies AAAI 2019
Non-Autoregressive Machine Translation with Auxiliary Regularization AAAI 2019
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder AAAI 2019
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning AAAI 2019
Unsupervised Pivot Translation for Distant Languages ACL 2019
Soft Contextual Data Augmentation for Neural Machine Translation ACL 2019
Depth Growing for Neural Machine Translation ACL 2019
Microsoft Research Asia’s Systems for WMT19 ACL 2019
Unified Policy Optimization for Robust Reinforcement Learning ACML 2019
Multilingual Neural Machine Translation with Language Clustering EMNLP 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base EMNLP 2019
Exploiting Monolingual Data at Scale for Neural Machine Translation EMNLP 2019
Machine Translation With Weakly Paired Documents EMNLP 2019
Hint-Based Training for Non-Autoregressive Machine Translation EMNLP 2019
Multi-Agent Dual Learning ICLR 2019
Representation Degeneration Problem in Training Natural Language Generation Models ICLR 2019
Multilingual Neural Machine Translation with Knowledge Distillation ICLR 2019
Efficient Training of BERT by Progressively Stacking ICML 2019
Almost Unsupervised Text to Speech and Automatic Speech Recognition ICML 2019
MASS: Masked Sequence to Sequence Pre-training for Language Generation ICML 2019
Deliberation Learning for Image-to-Image Translation IJCAI 2019
Image-to-Image Translation with Multi-Path Consistency Regularization IJCAI 2019
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models IJCAI 2019
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base IJCNLP 2019
Exploiting Monolingual Data at Scale for Neural Machine Translation IJCNLP 2019
Machine Translation With Weakly Paired Documents IJCNLP 2019
Hint-Based Training for Non-Autoregressive Machine Translation IJCNLP 2019
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion INTERSPEECH 2019
Efficient Sequence Learning with Group Recurrent Networks NAACL 2018
Dense Information Flow for Neural Machine Translation NAACL 2018
Learning to Teach with Dynamic Loss Functions NIPS 2018
Neural Architecture Optimization NIPS 2018
FRAGE: Frequency-Agnostic Word Representation NIPS 2018
Towards Binary-Valued Gates for Robust LSTM Training ICML 2018
Learning to Teach ICLR 2018
A Study of Reinforcement Learning for Neural Machine Translation EMNLP 2018
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter EMNLP 2018
Conditional Image-to-Image Translation CVPR 2018
Double Path Networks for Sequence to Sequence Learning COLING 2018
Model-Level Dual Learning ICML 2018
Adversarial Neural Machine Translation ACML 2018
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation NIPS 2018
Dual Inference for Machine Learning IJCAI 2017
Efficient Mechanism Design for Online Scheduling (Extended Abstract) IJCAI 2017
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NIPS 2017
Decoding with Value Networks for Neural Machine Translation NIPS 2017
Dual Supervised Learning ICML 2017
Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NIPS 2016
Budgeted Multi-Armed Bandits with Multiple Plays IJCAI 2016
Dual Learning for Machine Translation NIPS 2016
Budgeted Bandit Problems with Continuous Random Costs ACML 2015
Optimal Pricing for the Competitive and Evolutionary Cloud Market IJCAI 2015
Selling Reserved Instances in Cloud Computing IJCAI 2015
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem IJCAI 2015
Thompson Sampling for Budgeted Multi-Armed Bandits IJCAI 2015
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NIPS 2013
An Empirical Study on Learning to Rank of Tweets COLING 2010
A New Probabilistic Model for Rank Aggregation NIPS 2010
Global Ranking Using Continuous Conditional Random Fields NIPS 2008