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Lei Shu 0004
Person information
- unicode name: 舒蕾
- affiliation: Google Research, USA
- affiliation: Amazon AWS AI, Seattle, WA, USA
- affiliation (PhD 2020): University of Illinois at Chicago, Department of Computer Science, IL, USA
Other persons with the same name
- Lei Shu (aka: Shu Lei) — disambiguation page
- Lei Shu 0001
— Nanjing Agricultural University, Nanjing, China (and 5 more)
- Lei Shu 0002
— University of Western Ontario, Department of Electrical and Computer Engineering, London, ON, Canada
- Lei Shu 0003 — Changsha University of Science and Technology, School of Electrical and Information Engineering, Hunan, China
- Lei Shu 0005 — Guangdong Pharmaceutical University, Guangzhou, China
- Lei Shu 0006
— University of Science and Technology of China, School of Management, Department of Statistics and Finance, Hefei China
- Lei Shu 0007 — People's Bank of China, Shenzhen Central Sub-branch, Shenzhen, China (and 1 more)
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2020 – today
- 2024
- [c30]Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng:
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. AAAI 2024: 18970-18980 - [i40]Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng:
DRLC: Reinforcement Learning with Dense Rewards from LLM Critic. CoRR abs/2401.07382 (2024) - [i39]Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen:
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. CoRR abs/2405.16178 (2024) - [i38]Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi:
Improve Mathematical Reasoning in Language Models by Automated Process Supervision. CoRR abs/2406.06592 (2024) - 2023
- [c29]Yun Zhu, Xiayu Chen, Lei Shu, Bowen Tan, Xinying Song, Lijuan Liu, Maria Wang, Jindong Chen, Ning Ruan:
An Efficient Conversational Smart Compose System. ACL (demo) 2023: 456-462 - [i37]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. CoRR abs/2301.08986 (2023) - [i36]Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Canoee Liu, Simon Tong, Jindong Chen, Lei Meng:
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. CoRR abs/2305.15685 (2023) - [i35]Yun Zhu, Yinxiao Liu, Felix Stahlberg, Shankar Kumar, Yu-Hui Chen, Liangchen Luo, Lei Shu, Renjie Liu, Jindong Chen, Lei Meng:
Towards an On-device Agent for Text Rewriting. CoRR abs/2308.11807 (2023) - [i34]Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng:
Critique Ability of Large Language Models. CoRR abs/2310.04815 (2023) - [i33]Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng:
SiRA: Sparse Mixture of Low Rank Adaptation. CoRR abs/2311.09179 (2023) - [i32]Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu, Jindong Chen, Lei Meng:
Fusion-Eval: Integrating Evaluators with LLMs. CoRR abs/2311.09204 (2023) - 2022
- [c28]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. AAAI 2022: 6568-6576 - [c27]Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang:
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. ACL (1) 2022: 4661-4676 - [c26]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open Set Recognition Via Augmentation-Based Similarity Learning. CoLLAs 2022: 875-885 - [c25]Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu:
Adapting a Language Model While Preserving its General Knowledge. EMNLP 2022: 10177-10188 - [c24]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. EMNLP 2022: 10205-10216 - [c23]Yixuan Su, Fangyu Liu
, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. NAACL-HLT (Findings) 2022: 2497-2507 - [c22]Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang:
Measuring and Reducing Model Update Regression in Structured Prediction for NLP. NeurIPS 2022 - [i31]Lei Shu, Hu Xu, Bing Liu, Jiahua Chen:
Zero-Shot Aspect-Based Sentiment Analysis. CoRR abs/2202.01924 (2022) - [i30]Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang:
Measuring and Reducing Model Update Regression in Structured Prediction for NLP. CoRR abs/2202.02976 (2022) - [i29]Sepideh Esmaeilpour, Lei Shu, Bing Liu:
Open-set Recognition via Augmentation-based Similarity Learning. CoRR abs/2203.13238 (2022) - [i28]Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu:
Continual Training of Language Models for Few-Shot Learning. CoRR abs/2210.05549 (2022) - 2021
- [c21]Lei Shu, Yassine Benajiba, Saab Mansour, Yi Zhang:
ODIST: Open World Classification via Distributionally Shifted Instances. EMNLP (Findings) 2021: 3751-3756 - [c20]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) 2021: 6871-6883 - [c19]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS 2021: 22443-22456 - [i27]Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Open Set Detection by Extending CLIP. CoRR abs/2109.02748 (2021) - [i26]Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang:
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. CoRR abs/2109.14739 (2021) - [i25]Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier:
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. CoRR abs/2111.04198 (2021) - [i24]Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu:
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR abs/2112.02706 (2021) - [i23]Zixuan Ke, Bing Liu, Hu Xu, Lei Shu:
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR abs/2112.02714 (2021) - [i22]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. CoRR abs/2112.10021 (2021) - 2020
- [c18]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING 2020: 244-250 - [c17]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 1725-1731 - [c16]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. EMNLP (Findings) 2020: 3805-3817 - [c15]Zixuan Ke, Bing Liu, Hao Wang, Lei Shu:
Continual Learning with Knowledge Transfer for Sentiment Classification. ECML/PKDD (3) 2020: 683-698 - [i21]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR abs/2004.13816 (2020) - [i20]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. CoRR abs/2009.12046 (2020) - [i19]Hu Xu, Lei Shu, Philip S. Yu, Bing Liu:
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR abs/2011.00169 (2020)
2010 – 2019
- 2019
- [c14]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) 2019: 1304-1310 - [c13]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) 2019: 2324-2335 - [c12]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial 2019: 178-187 - [c11]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Open-world Learning and Application to Product Classification. WWW 2019: 3413-3419 - [i18]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Review Conversational Reading Comprehension. CoRR abs/1902.00821 (2019) - [i17]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR abs/1904.02232 (2019) - [i16]Lei Shu, Hu Xu, Bing Liu:
Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1905.06407 (2019) - [i15]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR abs/1908.02402 (2019) - [i14]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR abs/1908.11546 (2019) - [i13]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR abs/1911.01460 (2019) - 2018
- [c10]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. AAAI 2018: 6013-6020 - [c9]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) 2018: 592-598 - [c8]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. IJCAI 2018: 4510-4516 - [i12]Lei Shu, Hu Xu, Bing Liu:
Unseen Class Discovery in Open-world Classification. CoRR abs/1801.05609 (2018) - [i11]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR abs/1805.04601 (2018) - [i10]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. CoRR abs/1805.09991 (2018) - [i9]Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Learning to Accept New Classes without Training. CoRR abs/1809.06004 (2018) - 2017
- [c7]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. ACL (2) 2017: 148-154 - [c6]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Product function need recognition via semi-supervised attention network. IEEE BigData 2017: 1369-1374 - [c5]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. EMNLP 2017: 2911-2916 - [i8]Lei Shu, Hu Xu, Bing Liu:
Lifelong Learning CRF for Supervised Aspect Extraction. CoRR abs/1705.00251 (2017) - [i7]Hu Xu, Lei Shu, Philip S. Yu:
Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge. CoRR abs/1705.10030 (2017) - [i6]Lei Shu, Hu Xu, Bing Liu:
DOC: Deep Open Classification of Text Documents. CoRR abs/1709.08716 (2017) - [i5]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. CoRR abs/1712.02016 (2017) - [i4]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Product Function Need Recognition via Semi-supervised Attention Network. CoRR abs/1712.02186 (2017) - 2016
- [c4]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. IEEE BigData 2016: 793-802 - [c3]Lei Shu, Bing Liu, Hu Xu, Annice Kim
:
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. EMNLP 2016: 225-235 - [i3]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews. CoRR abs/1612.01039 (2016) - [i2]Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu:
Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion. CoRR abs/1612.04499 (2016) - [i1]Lei Shu, Bing Liu, Hu Xu, Annice Kim:
Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results. CoRR abs/1612.07940 (2016) - 2013
- [c2]Lei Shu, Hu Xu, May Huang:
High-speed and accurate laser scan matching using classified features. ROSE 2013: 61-66 - [c1]Hu Xu, Lei Shu, May Huang:
Planning Paths with Fewer Turns on Grid Maps. SOCS 2013: 193-200
Coauthor Index
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