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Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection


Jan 03, 2022
Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin

* Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022; 13 pages 

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Federated Learning with Adaptive Batchnorm for Personalized Healthcare


Dec 01, 2021
Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin

* Technical report. arXiv admin note: substantial text overlap with arXiv:2106.01009 

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Towards Generating Real-World Time Series Data


Nov 16, 2021
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li

* Accepted in 21th IEEE International Conference on Data Mining (ICDM 2021). Code is available at https://seqml.github.io/rtsgan 

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Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model


Oct 29, 2021
Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu


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Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning


Oct 27, 2021
Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu

* NeurIPS 2021. First two authors contributed equally 

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Distributional Reinforcement Learning for Multi-Dimensional Reward Functions


Oct 26, 2021
Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu

* Accepted by NeurIPS 2021 

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FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition


Oct 18, 2021
Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Wenjie Liu, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu

* Findings of EMNLP 2021 

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GNN is a Counter? Revisiting GNN for Question Answering


Oct 07, 2021
Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin


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Discovering Drug-Target Interaction Knowledge from Biomedical Literature


Sep 27, 2021
Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu


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TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method


Sep 20, 2021
Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiangyang Li, Tao Qin, Tie-Yan Liu


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PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription


Sep 17, 2021
Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang

* 7 pages 

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Analyzing and Mitigating Interference in Neural Architecture Search


Aug 29, 2021
Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li


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AdaRNN: Adaptive Learning and Forecasting of Time Series


Aug 11, 2021
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjun Wang

* Accepted by CIKM 2021 as a full paper; 10 pages; code at: https://github.com/jindongwang/transferlearning/tree/master/code/deep/adarnn 

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On the Generative Utility of Cyclic Conditionals


Aug 03, 2021
Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu

* More related work discussed, more synthetic results shown, improved presentation 

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A Survey on Neural Speech Synthesis


Jul 23, 2021
Xu Tan, Tao Qin, Frank Soong, Tie-Yan Liu

* A comprehensive survey on TTS, 63 pages, 18 tables, 7 figures, 457 references 

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A Survey on Low-Resource Neural Machine Translation


Jul 09, 2021
Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu

* A short version has been submitted to IJCAI2021 Survey Track on Feb. 26th, 2021, accepted on Apr. 16th, 2021. 14 pages, 4 figures 

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AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style


Jul 06, 2021
Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu

* Accepted by INTERSPEECH 2021 

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DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling


Jul 05, 2021
Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu

* Accepted by ACL 2021 main conference 

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Supervised Off-Policy Ranking


Jul 03, 2021
Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu


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R-Drop: Regularized Dropout for Neural Networks


Jun 28, 2021
Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu


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Dual-view Molecule Pre-training


Jun 17, 2021
Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

* 15 pages 

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PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior


Jun 11, 2021
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

* 16 pages, 5 figures, 7 tables. Audio samples: https://speechresearch.github.io/priorgrad/ 

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MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training


Jun 10, 2021
Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, Tie-Yan Liu

* Accepted by ACL 2021 Findings 

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FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition


Jun 03, 2021
Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Ed Lin, Tie-Yan Liu


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NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search


May 30, 2021
Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu

* Accepted by KDD 2021 

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Learning Structures for Deep Neural Networks


May 27, 2021
Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu


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