Tao Qin

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