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ORCIDTianyu Gao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j19]Jingli Yang
, Tianyu Gao, Shouda Jiang:
A Dual-input Fault Diagnosis Model Based on SE-MSCNN for Analog Circuits. Appl. Intell. 53(6): 7154-7168 (2023)- [j18]Jingli Yang, Tianyu Gao, Ge Yan, Cheng Yang, Gangqiang Li:
A fault location method based on ensemble complex spatio-temporal attention network for complex systems under fluctuating operating conditions. Appl. Soft Comput. 144: 110489 (2023) - [j17]Tianyu Gao, Jingli Yang, Shouda Jiang:
A Novel Fault Detection Model Based on Vector Quantization Sparse Autoencoder for Nonlinear Complex Systems. IEEE Trans. Ind. Informatics 19(3): 2693-2704 (2023) - [c30]Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen:
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. ACL (Findings) 2023: 8298-8319 - [c29]Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
The CRINGE Loss: Learning what language not to model. ACL (1) 2023: 8854-8874 - [c28]Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? EACL 2023: 2977-2992 - [c27]Junxiao Liu, Tianyu Gao, Shu Liang, Kecheng Chen, Junwei Zeng, Fengshi Jing, Jiandong Zhou:
Data-Driven Discriminable Factors Analytics of Teaching Performance Ratings for College Teachers. ICEIT 2023: 223-227 - [d1]Tianyu Gao:
Incipient fault dataset for analog circuits. IEEE DataPort, 2023
- [i25]Lei Shi, Tianyu Gao, Zheng Zhang, Junxing Zhang:
STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation. CoRR abs/2304.12615 (2023) - [i24]Jane Pan, Tianyu Gao, Howard Chen, Danqi Chen:
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning. CoRR abs/2305.09731 (2023) - [i23]Tianyu Gao, Howard Yen, Jiatong Yu, Danqi Chen:
Enabling Large Language Models to Generate Text with Citations. CoRR abs/2305.14627 (2023) - [i22]Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora:
Fine-Tuning Language Models with Just Forward Passes. CoRR abs/2305.17333 (2023) - [i21]Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen:
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning. CoRR abs/2310.06694 (2023) - [i20]Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen:
Evaluating Large Language Models at Evaluating Instruction Following. CoRR abs/2310.07641 (2023) - 2022
- [j16]Feng Zhao, Tianyu Gao, Zhi Cao, Xiaobo Chen, Yanyan Mao, Ning Mao, Yande Ren:
Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal. Frontiers Comput. Neurosci. 16 (2022) - [j15]Tianyu Gao, Xiaoli Bai:
Bayesian Optimization-based Three-dimensional, Time-varying Environment Monitoring using an UAV. J. Intell. Robotic Syst. 105(4): 91 (2022) - [j14]Jingli Yang, Shuangyan Yin, Chao Sun, Tianyu Gao:
A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components. Neural Comput. Appl. 34(13): 10971-10987 (2022) - [j13]Tianyu Gao, Xiaochun Han, Dan Bang, Shihui Han:
Cultural differences in neurocognitive mechanisms underlying believing. NeuroImage 250: 118954 (2022) - [j12]Jingli Yang, Tianyu Gao, Shouda Jiang:
Energy-Based Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Electro-Mechanical Systems. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c26]Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen:
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. ACL (1) 2022: 8074-8085 - [c25]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. COLING 2022: 4965-4975 - [c24]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. NeurIPS 2022 - [c23]Yanze Wang, Tianyu Gao, Yaping Liu, Tao Xu, Wenbo Yu, Zhiqun Yang, Qiang Guo, Rui Zhou, Shiyi Cao, Xinhua Xiao, Lin Zhang:
Novel Mirror-flipped Mode Permutation Technique for Long-haul Mode-division Multiplexing Transmissions. OFC 2022: 1-3 - [i19]Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen:
Should You Mask 15% in Masked Language Modeling? CoRR abs/2202.08005 (2022) - [i18]Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen:
Recovering Private Text in Federated Learning of Language Models. CoRR abs/2205.08514 (2022) - [i17]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. CoRR abs/2209.09401 (2022) - [i16]Ruisheng Ran, Tianyu Gao, Bin Fang:
Transformer-based dimensionality reduction. CoRR abs/2210.08288 (2022) - [i15]Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
The CRINGE Loss: Learning what language not to model. CoRR abs/2211.05826 (2022) - 2021
- [j11]Jie Wang, Li Zhu, Tao Dai, Qiannan Xu, Tianyu Gao:
Low-rank and sparse matrix factorization with prior relations for recommender systems. Appl. Intell. 51(6): 3435-3449 (2021) - [j10]Tianyu Gao, Jingli Yang, Shouda Jiang, Ge Yan:
A Novel Fault Diagnosis Method for Analog Circuits Based on Conditional Variational Neural Networks. Circuits Syst. Signal Process. 40(6): 2609-2633 (2021) - [j9]Tianyu Gao, Jingli Yang, Shouda Jiang:
A novel fault diagnosis method for analog circuits with noise immunity and generalization ability. Neural Comput. Appl. 33(16): 10537-10550 (2021) - [j8]Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang:
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. Trans. Assoc. Comput. Linguistics 9: 176-194 (2021) - [j7]Tianyu Gao, Jingli Yang, Shouda Jiang:
A Novel Incipient Fault Diagnosis Method for Analog Circuits Based on GMKL-SVM and Wavelet Fusion Features. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - [j6]Jingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao, Cheng Yang:
An Efficient Method for Monitoring Degradation and Predicting the Remaining Useful Life of Mechanical Rotating Components. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - [c22]Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) 2021: 1306-1318 - [c21]Tianyu Gao, Adam Fisch, Danqi Chen:
Making Pre-trained Language Models Better Few-shot Learners. ACL/IJCNLP (1) 2021: 3816-3830 - [c20]Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. EMNLP (1) 2021: 6894-6910 - [c19]Tianyu Gao, Jingli Yang, Shouda Jiang, Cheng Yang:
A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits. I2MTC 2021: 1-6 - [c18]Tianyu Gao, Yuanming Zhang, Mengni Li, Jiawei Lu, Zhenbo Cheng, Gang Xiao:
Representation Learning of Knowledge Graph with Semantic Vectors. KSEM 2021: 16-29 - [c17]Yuanming Zhang, Tianyu Gao, Jiawei Lu, Zhenbo Cheng, Gang Xiao:
Adaptive Entity Alignment for Cross-Lingual Knowledge Graph. KSEM 2021: 474-487 - [i14]Tianyu Gao, Xingcheng Yao, Danqi Chen:
SimCSE: Simple Contrastive Learning of Sentence Embeddings. CoRR abs/2104.08821 (2021) - [i13]Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR abs/2105.09543 (2021) - [i12]Huihan Li, Tianyu Gao, Manan Goenka, Danqi Chen:
Ditch the Gold Standard: Re-evaluating Conversational Question Answering. CoRR abs/2112.08812 (2021) - 2020
- [j5]Tianyu Gao, Jin Yang, Wenjun Peng, Luyu Jiang, Yihao Sun, Fangchuan Li:
A Content-Based Method for Sybil Detection in Online Social Networks via Deep Learning. IEEE Access 8: 38753-38766 (2020) - [j4]Zhanli Li, Tianyu Gao, Cheng Guo, Hong-An Li:
A Gated Recurrent Unit Network Model for Predicting Open Channel Flow in Coal Mines Based on Attention Mechanisms. IEEE Access 8: 119819-119828 (2020) - [j3]Jin Yang, Tao Li, Gang Liang, Yunpeng Wang, Tianyu Gao, Fangdong Zhu:
Spam transaction attack detection model based on GRU and WGAN-div. Comput. Commun. 161: 172-182 (2020) - [j2]Jingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao:
A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks. Sensors 20(14): 3837 (2020) - [c16]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. AAAI 2020: 7772-7779 - [c15]Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020: 6429-6440 - [c14]Tianyu Gao, Jun Jin, Xiao Hao:
A Single-ball-driven Self-Balancing Robot Controller Based on Genetic Algorithm Optimization. AIAM 2020: 453-457 - [c13]Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING 2020: 1594-1605 - [c12]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) 2020: 3661-3672 - [c11]Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong:
TADO: Time-varying Attention with Dual-Optimizer Model. ICDM 2020: 1340-1345 - [c10]Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML 2020: 7867-7876 - [c9]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP 2020: 745-758 - [i11]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR abs/2004.03186 (2020) - [i10]Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. CoRR abs/2007.02387 (2020) - [i9]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR abs/2010.01923 (2020) - [i8]Yuexin Wu, Tianyu Gao, Sihao Wang, Zhongmin Xiong:
TADO: Time-varying Attention with Dual-Optimizer Model. CoRR abs/2012.04558 (2020) - [i7]Yuexin Wu, Tianyu Gao, Hongtao Liu:
GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation. CoRR abs/2012.05009 (2020) - [i6]Tianyu Gao, Adam Fisch, Danqi Chen:
Making Pre-trained Language Models Better Few-shot Learners. CoRR abs/2012.15723 (2020)
2010 – 2019
- 2019
- [c8]Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun:
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019: 6407-6414 - [c7]Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun:
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. EMNLP/IJCNLP (3) 2019: 169-174 - [c6]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP/IJCNLP (1) 2019: 6249-6254 - [c5]Tianyu Gao, Yanqing Guo, Xin Zheng, Qianyu Wang, Xiangyang Luo:
Moiré Pattern Removal with Multi-scale Feature Enhancing Network. ICME Workshops 2019: 240-245 - [c4]Tianyu Gao, Chase Q. Wu, Aiqin Hou, Yongqiang Wang, Ruxia Li, Mingrui Xu:
Minimizing financial cost of scientific workflows under deadline constraints in multi-cloud environments. SAC 2019: 114-121 - [i5]Gaurav Misra, Tianyu Gao, Xiaoli Bai:
Modeling and Simulation of UAV Carrier Landings. CoRR abs/1901.07951 (2019) - [i4]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. CoRR abs/1908.11007 (2019) - [i3]Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun:
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. CoRR abs/1909.13078 (2019) - [i2]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. CoRR abs/1910.07124 (2019) - [i1]Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang:
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. CoRR abs/1911.06136 (2019) - 2018
- [j1]Tao Dai, Tianyu Gao, Li Zhu, Xiaoyan Cai, Shirui Pan:
Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network. IEEE Access 6: 59015-59030 (2018) - [c3]Yaohua Bu, Jia Jia, Yuhan Tang, Xuan Zang, Tianyu Gao:
Lookine: Let the Blind Hear a Smile. AAAI 2018: 8196-8197 - [c2]Ruxia Li, Chase Q. Wu, Aiqin Hou, Yongqiang Wang, Tianyu Gao, Mingrui Xu:
On Scheduling of High-Throughput Scientific Workflows under Budget Constraints in Multi-Cloud Environments. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1087-1094 - 2016
- [c1]Chuanxi Xing, Guofang Dong, Lingling Kong, Tianyu Gao:
Research on the methods of multipath separation for shallow water wideband signal based on warping transformation. CITS 2016: 1-5
Coauthor Index
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last updated on 2023-10-25 20:10 CEST by the dblp team
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