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Zhe Feng 0003
Person information
- affiliation: Robert Bosch Research and Technology Center, Palo Alto, CA, USA
Other persons with the same name
- Zhe Feng — disambiguation page
- Zhe Feng 0001 — Fudan University, Shanghai, China
- Zhe Feng 0002 — University of California, Los Angeles, USA
- Zhe Feng 0004 — Google Research, Mountain View, CA, USA (and 2 more)
- Zhe Feng 0005 — University of Colorado Boulder, Boulder, CO, USA
- Zhe Feng 0006 — Nantong University, Nantong, China
- Zhe Feng 0007 — China University of Geosciences, School of Land Science and Technology, Beijing, China
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Journal Articles
- 2020
- [j1]Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Md. Istiaq Ansari, Zhe Feng, Taufiq Hasan:
Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks. IEEE J. Biomed. Health Informatics 24(8): 2189-2198 (2020)
Conference and Workshop Papers
- 2023
- [c19]Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren:
CoAug: Combining Augmentation of Labels and Labelling Rules. ACL (Findings) 2023: 9062-9071 - [c18]Anthony M. Colas, Jun Araki, Zhengyu Zhou, Bingqing Wang, Zhe Feng:
Knowledge-Grounded Natural Language Recommendation Explanation. BlackboxNLP@EMNLP 2023: 1-15 - [c17]Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng:
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. EMNLP (Findings) 2023: 822-835 - 2021
- [c16]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) 2021: 4568-4581 - [c15]Xinyan Zhao, Haibo Ding, Zhe Feng:
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. EACL 2021: 3636-3649 - [c14]Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. NAACL-HLT 2021: 1392-1404 - 2020
- [c13]Kaiqiang Song, Bingqing Wang, Zhe Feng, Ren Liu, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. AAAI 2020: 8902-8909 - [c12]Haibo Ding, Zhe Feng:
Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation. EMNLP (Findings) 2020: 4698-4704 - 2019
- [c11]Asif Salekin, Shabnam Ghaffarzadegan, Zhe Feng, John A. Stankovic:
A Real-Time Audio Monitoring Framework with Limited Data for Constrained Devices. DCOSS 2019: 98-105 - [c10]Haibo Ding, Ellen Riloff, Zhe Feng:
Improving Human Needs Categorization of Events with Semantic Classification. *SEM@NAACL-HLT 2019: 198-204 - 2018
- [c9]Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan:
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. EMBC 2018: 1408-1411 - [c8]Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan:
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. INTERSPEECH 2018: 127-131 - 2017
- [c7]Rakib Hyder, Shabnam Ghaffarzadegan, Zhe Feng, John H. L. Hansen, Taufiq Hasan:
Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features. INTERSPEECH 2017: 3073-3077 - [c6]Shabnam Ghaffarzadegan, Attila Reiss, Mirko Ruhs, Robert Dürichen, Zhe Feng:
Occupancy Detection in Commercial and Residential Environments Using Audio Signal. INTERSPEECH 2017: 3802-3806 - 2013
- [c5]You-Chi Cheng, Kehuang Li, Zhe Feng, Fuliang Weng, Chin-Hui Lee:
Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments. ICASSP 2013: 1826-1830 - 2012
- [c4]You-Chi Cheng, Zhe Feng, Fuliang Weng, Chin-Hui Lee:
Enhancing model-based skin color detection: From low-level RGB features to high-level discriminative binary-class features. ICASSP 2012: 1401-1404 - 2007
- [c3]Baoshi Yan, Fuliang Weng, Zhe Feng, Florin Ratiu, Madhuri Raya, Yao Meng, Sebastian Varges, Matthew Purver, Annie Lien, Tobias Scheideck, Badri Raghunathan, Feng Lin, Rohit Mishra, Brian Lathrop, Zhaoxia Zhang, Harry Bratt, Stanley Peters:
A Conversational In-Car Dialog System. HLT-NAACL (Demonstrations) 2007: 23-24 - [c2]Fuliang Weng, Baoshi Yan, Zhe Feng, Florin Ratiu, Madhuri Raya, Brian Lathrop, Annie Lien, Sebastian Varges, Rohit Mishra, Feng Lin, Matthew Purver, Harry Bratt, Yao Meng, Stanley Peters, Tobias Scheideck, Badri Raghunathan, Zhaoxia Zhang:
CHAT to Your Destination. SIGdial 2007: 79-86 - 2006
- [c1]Qi Zhang, Fuliang Weng, Zhe Feng:
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces. ACL 2006
Informal and Other Publications
- 2023
- [i11]Anthony M. Colas, Jun Araki, Zhengyu Zhou, Bingqing Wang, Zhe Feng:
Knowledge-grounded Natural Language Recommendation Explanation. CoRR abs/2308.15813 (2023) - [i10]Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng:
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. CoRR abs/2312.05200 (2023) - 2021
- [i9]Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. CoRR abs/2102.07108 (2021) - [i8]Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu:
A New Approach to Overgenerating and Scoring Abstractive Summaries. CoRR abs/2104.01726 (2021) - [i7]Xinyan Zhao, Haibo Ding, Zhe Feng:
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. CoRR abs/2104.06230 (2021) - [i6]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR abs/2107.02282 (2021) - [i5]Logan Lebanoff, Bingqing Wang, Zhe Feng, Fei Liu:
Modeling Endorsement for Multi-Document Abstractive Summarization. CoRR abs/2110.07844 (2021) - 2020
- [i4]Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Zhe Feng:
Automatic Summarization of Open-Domain Podcast Episodes. CoRR abs/2011.04132 (2020) - 2019
- [i3]Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu:
Controlling the Amount of Verbatim Copying in Abstractive Summarization. CoRR abs/1911.10390 (2019) - 2018
- [i2]Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan:
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. CoRR abs/1806.05892 (2018) - [i1]Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng, Taufiq Hasan:
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. CoRR abs/1806.06506 (2018)
Coauthor Index
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