Tie-yan Liu

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation ICLR 2024 Bridging Geometric States via Geometric Diffusion Bridge NIPS 2024 Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation IJCAI 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction ICML 2024 Regeneration Learning: A Learning Paradigm for Data Generation AAAI 2024 GeoMFormer: A General Architecture for Geometric Molecular Representation Learning ICML 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NIPS 2024 FABind: Fast and Accurate Protein-Ligand Binding NIPS 2023 Geometric Transformer with Interatomic Positional Encoding NIPS 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 One Transformer Can Understand Both 2D & 3D Molecular Data ICLR 2023 $\mathcal{O}$-GNN: incorporating ring priors into molecular modeling ICLR 2023 AMOM: Adaptive Masking over Masking for Conditional Masked Language Model AAAI 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023 SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition AAAI 2023 Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 Extract and Attend: Improving Entity Translation in Neural Machine Translation ACL 2023 MolXPT: Wrapping Molecules with Text for Generative Pre-training ACL 2023 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 Retrosynthetic Planning with Dual Value Networks ICML 2023 NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023 Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation NIPS 2022 Your Transformer May Not be as Powerful as You Expect NIPS 2022 A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation NAACL 2022 BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis NIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? NIPS 2022 An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context NIPS 2022 Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022 Revisiting Over-Smoothness in Text to Speech ACL 2022 ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation ACL 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting ICLR 2022 Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022 Target-Side Input Augmentation for Sequence to Sequence Generation ICLR 2022 PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior ICLR 2022 TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method EMNLP 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022 Quantized Training of Gradient Boosting Decision Trees NIPS 2022 AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios INTERSPEECH 2022 Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022 Supervised Off-Policy Ranking ICML 2022 SE(3) Equivariant Graph Neural Networks with Complete Local Frames ICML 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NIPS 2022 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NIPS 2021 Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning NIPS 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction NIPS 2021 Curriculum Offline Imitating Learning NIPS 2021 Speech-T: Transducer for Text to Speech and Beyond NIPS 2021 R-Drop: Regularized Dropout for Neural Networks NIPS 2021 Co-evolution Transformer for Protein Contact Prediction NIPS 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 Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding NIPS 2021 Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021 Stylized Dialogue Generation with Multi-Pass Dual Learning NIPS 2021 Do Transformers Really Perform Badly for Graph Representation? NIPS 2021 On the Generative Utility of Cyclic Conditionals NIPS 2021 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021 UWSpeech: Speech to Speech Translation for Unwritten Languages AAAI 2021 DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling ACL 2021 MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training ACL 2021 Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder EMNLP 2021 FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition EMNLP 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 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 FastSpeech 2: Fast and High-Quality End-to-End Text to Speech ICLR 2021 Rethinking Positional Encoding in Language Pre-training ICLR 2021 Taking Notes on the Fly Helps Language Pre-Training ICLR 2021 GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training ICML 2021 How could Neural Networks understand Programs? ICML 2021 Temporally Correlated Task Scheduling for Sequence Learning ICML 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 Independence-aware Advantage Estimation IJCAI 2021 A Survey on Low-Resource Neural Machine Translation IJCAI 2021 DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling IJCNLP 2021 MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training IJCNLP 2021 Adaptive Text to Speech for Spontaneous Style INTERSPEECH 2021 UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost NAACL 2021 Path-BN: Towards effective batch normalization in the Path Space for ReLU networks UAI 2021 RD$^2$: Reward Decomposition with Representation Decomposition NIPS 2020 MPNet: Masked and Permuted Pre-training for Language Understanding NIPS 2020 Dual Learning: Theoretical Study and an Algorithmic Extension ACML 2020 Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020 Invertible Image Rescaling ECCV 2020 Light Multi-Segment Activation for Model Compression AAAI 2020 SEEK: Segmented Embedding of Knowledge Graphs ACL 2020 SimulSpeech: End-to-End Simultaneous Speech to Text Translation ACL 2020 A Study of Non-autoregressive Model for Sequence Generation ACL 2020 Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation IJCAI 2020 Transductive Ensemble Learning for Neural Machine Translation AAAI 2020 Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020 Semi-Supervised Neural Architecture Search NIPS 2020 Multilingual Neural Machine Translation with Language Clustering EMNLP 2019 Normalization Helps Training of Quantized LSTM NIPS 2019 FastSpeech: Fast, Robust and Controllable Text to Speech NIPS 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 Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models IJCAI 2019 Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019 Multi-Agent Dual Learning ICLR 2019 G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space ICLR 2019 Multilingual Neural Machine Translation with Knowledge Distillation ICLR 2019 Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion INTERSPEECH 2019 Multilingual Neural Machine Translation with Language Clustering IJCNLP 2019 Exploiting Monolingual Data at Scale for Neural Machine Translation IJCNLP 2019 Neural Machine Translation with Soft Prototype NIPS 2019 Distributional Reward Decomposition for Reinforcement Learning NIPS 2019 Almost Unsupervised Text to Speech and Automatic Speech Recognition ICML 2019 MASS: Masked Sequence to Sequence Pre-training for Language Generation ICML 2019 Adaptive Regret of Convex and Smooth Functions ICML 2019 Machine Translation With Weakly Paired Documents IJCNLP 2019 Hint-Based Training for Non-Autoregressive Machine Translation IJCNLP 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019 Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks 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 BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019 Non-Autoregressive Machine Translation with Auxiliary Regularization AAAI 2019 Trust Region Evolution Strategies AAAI 2019 Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input AAAI 2019 Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter EMNLP 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Efficient Sequence Learning with Group Recurrent Networks NAACL 2018 Dense Information Flow for Neural Machine Translation NAACL 2018 Learning to Teach ICLR 2018 Adversarial Neural Machine Translation ACML 2018 Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems ACML 2018 Double Path Networks for Sequence to Sequence Learning COLING 2018 Conditional Image-to-Image Translation CVPR 2018 FRAGE: Frequency-Agnostic Word Representation NIPS 2018 On the Local Hessian in Back-propagation NIPS 2018 Neural Architecture Optimization NIPS 2018 Learning to Teach with Dynamic Loss Functions NIPS 2018 Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation NIPS 2018 Model-Level Dual Learning ICML 2018 A Study of Reinforcement Learning for Neural Machine Translation EMNLP 2018 Deliberation Networks: Sequence Generation Beyond One-Pass Decoding NIPS 2017 Efficient Mechanism Design for Online Scheduling (Extended Abstract) IJCAI 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017 Dual Supervised Learning ICML 2017 Decoding with Value Networks for Neural Machine Translation NIPS 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree NIPS 2017 Sequence Prediction with Unlabeled Data by Reward Function Learning IJCAI 2017 Dual Inference for Machine Learning IJCAI 2017 Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems IJCAI 2017 Asynchronous Accelerated Stochastic Gradient Descent IJCAI 2016 Budgeted Multi-Armed Bandits with Multiple Plays IJCAI 2016 Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding EMNLP 2016 A Communication-Efficient Parallel Algorithm for Decision Tree NIPS 2016 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks NIPS 2016 Dual Learning for Machine Translation NIPS 2016 Selling Reserved Instances in Cloud Computing IJCAI 2015 Optimal Pricing for the Competitive and Evolutionary Cloud Market IJCAI 2015 Thompson Sampling for Budgeted Multi-Armed Bandits IJCAI 2015 Co-learning of Word Representations and Morpheme Representations COLING 2014 A Probabilistic Model for Learning Multi-Prototype Word Embeddings COLING 2014 Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising NIPS 2013 A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013 A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search IJCAI 2013 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010 A New Probabilistic Model for Rank Aggregation NIPS 2010 Statistical Consistency of Top-k Ranking NIPS 2009 Ranking Measures and Loss Functions in Learning to Rank NIPS 2009 Global Ranking Using Continuous Conditional Random Fields NIPS 2008