← Authors

Tie-yan Liu

175 papers · 2008–2024 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (17) πŸ—ΊοΈ Taxonomy Completionist (37) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (16) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (52) 🌟 Keyword Trendsetter Combo (9) 🀝 Dynamic Duo (110) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (30) ❓ The Questioner (4) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ⚑ Prolific Year (41) πŸ’Ž Century Club (175) πŸ—ƒοΈ Keyword Collector (104)

Conferences

NIPS (52) ICLR (21) IJCAI (19) ICML (18) AAAI (15) ACL (14) EMNLP (10) IJCNLP (6) COLING (4) NAACL (4) INTERSPEECH (3) ACML (3) CVPR (2) ECCV (1) COLT (1) AISTATS (1) UAI (1)

Top co-authors

Tao Qin (110) Xu Tan (47) Di He (34) Yingce Xia (33) Wei Chen (31) Lijun Wu (26) Qi Meng (18) Fei Tian (17) Jiang Bian (16) Li Zhao (15)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

neural machine translation (33) reinforcement learning (11) attention mechanism (9) non-autoregressive translation (9) neural network (8) machine translation (8) representation learning (7) language modeling (7) sequence generation (7) automatic speech recognition (6) neural network optimization (6) transformer architecture (6) loss function (6) knowledge distillation (6) text generation (5) text to speech (5) batch normalization (5) learning to rank (5) monolingual datum (5) information retrieval (4)

Papers

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