Tie-Yan Liu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 458

Top Venues

Publications

Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen
Provable Adaptivity of Adam under Non-uniform Smoothness. KDD (2024)
Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Sheng Zhao, Tao Qin, Frank K. Soong, Tie-Yan Liu
NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Tianlang Chen, Shengjie Luo, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning. CoRR (2024)
Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
Regeneration Learning: A Learning Paradigm for Data Generation. AAAI (2024)
Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation. ICLR (2024)
He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu
Self-Consistency Training for Hamiltonian Prediction. CoRR (2024)
Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. Neural Networks 176 (2024)
Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6 (5) (2024)
Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. AAAI (2023)
Yusong Wang, Shaoning Li, Tong Wang, Bin Shao, Nanning Zheng, Tie-Yan Liu
Geometric Transformer with Interatomic Positional Encoding. NeurIPS (2023)
Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Shufang Xie, Xu Tan, Tao Qin, Tie-Yan Liu
Extract and Attend: Improving Entity Translation in Neural Machine Translation. ACL (Findings) (2023)
Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
One Transformer Can Understand Both 2D & 3D Molecular Data. ICLR (2023)
Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. AAAI (2023)
Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
De Novo Molecular Generation via Connection-aware Motif Mining. CoRR (2023)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. 131 (1) (2023)
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR (2023)
Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu
De Novo Molecular Generation via Connection-aware Motif Mining. ICLR (2023)
Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023)
Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio
Regeneration Learning: A Learning Paradigm for Data Generation. CoRR (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD (2023)
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
Dual-view Molecular Pre-training. KDD (2023)
Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li
Making Better Decision by Directly Planning in Continuous Control. ICLR (2023)
Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
Web-based Long-term Spine Treatment Outcome Forecasting. KDD (2023)
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR (2023)
Di He, Shanda Li, Wenlei Shi, Xiaotian Gao, Jia Zhang, Jiang Bian, Liwei Wang, Tie-Yan Liu
Learning Physics-Informed Neural Networks without Stacked Back-propagation. AISTATS (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu
MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) (2023)
Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li
Masked Contrastive Representation Learning for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR (2023)
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD (2023)
Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24 (1) (2023)
Zimeng Li, Shichao Zhu, Bin Shao, Xiangxiang Zeng, Tong Wang, Tie-Yan Liu
DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning. Briefings Bioinform. 24 (1) (2023)
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS (2023)
Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR (2023)
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
Retrosynthetic Planning with Dual Value Networks. ICML (2023)
Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
𝒪-GNN: incorporating ring priors into molecular modeling. ICLR (2023)
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
Retrosynthetic Planning with Dual Value Networks. CoRR (2023)
Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan
FABind: Fast and Accurate Protein-Ligand Binding. CoRR (2023)
Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI (2023)
Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu
Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing 528 (2023)
Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR (2023)
Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Xu Tan, Tao Qin, Tie-Yan Liu
Extract and Attend: Improving Entity Translation in Neural Machine Translation. CoRR (2023)
Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR (2022)
Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
Quantized Training of Gradient Boosting Decision Trees. NeurIPS (2022)
Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang
Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent. CoRR (2022)
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23 (6) (2022)
Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu
Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
Revisiting Over-Smoothness in Text to Speech. CoRR (2022)
Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. CoRR (2022)
Xiaodong Yang, Huishuai Zhang, Wei Chen, Tie-Yan Liu
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization. CoRR (2022)
Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting. CoRR (2022)
Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR (2022)
Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. CoRR (2022)
Chang Liu, Xu Tan, Chongyang Tao, Zhenxin Fu, Dongyan Zhao, Tie-Yan Liu, Rui Yan
ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation. ACL (1) (2022)
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. ICLR (2022)
Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. NeurIPS (2022)
Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan
Target-Side Input Augmentation for Sequence to Sequence Generation. ICLR (2022)
Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. CoRR (2022)
Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, Tie-Yan Liu
AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios. INTERSPEECH (2022)
Zimeng Li, Shichao Zhu, Bin Shao, Tie-Yan Liu, Xiangxiang Zeng, Tong Wang
Multi-View Substructure Learning for Drug-Drug Interaction Prediction. CoRR (2022)
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. CoRR (2022)
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. NAACL-HLT (2022)
Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu
Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR (2022)
Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Frank K. Soong, Tao Qin, Sheng Zhao, Tie-Yan Liu
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality. CoRR (2022)
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
Direct Molecular Conformation Generation. CoRR (2022)
Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. NeurIPS (2022)
Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. CoRR (2022)
Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu
SPRoBERTa: protein embedding learning with local fragment modeling. Briefings Bioinform. 23 (6) (2022)
Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
: Adaptive Focus Framework for Aerial Imagery Segmentation. CoRR (2022)
Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) (2022)
Chen Zhang, LuChin Chang, Songruoyao Wu, Xu Tan, Tao Qin, Tie-Yan Liu, Kejun Zhang
ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. CoRR (2022)
Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. CoRR (2022)
Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoG (2022)
Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS (2022)
Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR (2022)
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. CVPR (2022)
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu
Discovering drug-target interaction knowledge from biomedical literature. Bioinform. 38 (22) (2022)
Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Gradient Information Matters in Policy Optimization by Back-propagating through Model. ICLR (2022)
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Your Transformer May Not be as Powerful as You Expect. NeurIPS (2022)
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Unified 2D and 3D Pre-Training of Molecular Representations. CoRR (2022)
Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
Quantized Training of Gradient Boosting Decision Trees. CoRR (2022)
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Unified 2D and 3D Pre-Training of Molecular Representations. KDD (2022)
Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Di He, Liwei Wang
One Transformer Can Understand Both 2D & 3D Molecular Data. CoRR (2022)
Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR (2022)
Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu
Revisiting Over-Smoothness in Text to Speech. ACL (1) (2022)
Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR (2022)
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022)
Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiang-Yang Li, Tao Qin, Tie-Yan Liu
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. EMNLP (2022)
Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. ISMIR (2022)
Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen
Provable Adaptivity in Adam. CoRR (2022)
Chen Zhang, LuChin Chang, Songruoyao Wu, Xu Tan, Tao Qin, Tie-Yan Liu, Kejun Zhang
ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. ACM Multimedia (2022)
Bo Yang, Lijun Wu, Jinhua Zhu, Bo Shao, Xiaola Lin, Tie-Yan Liu
Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu
Invertible Rescaling Network and Its Extensions. CoRR (2022)
Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Your Transformer May Not be as Powerful as You Expect. CoRR (2022)
Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
Analyzing and Mitigating Interference in Neural Architecture Search. ICML (2022)
Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. NeurIPS (2022)
Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu
Stabilize deep ResNet with a sharp scaling factor τ. Mach. Learn. 111 (9) (2022)

Tie-Yan Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Tie-Yan Liu