{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T18:02:40Z","timestamp":1777658560789,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313426","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"2192-2202","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":66,"title":["STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks"],"prefix":"10.1145","author":[{"given":"Shuochao","family":"Yao","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ailing","family":"Piao","sequence":"additional","affiliation":[{"name":"University of Washington, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiran","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Illinois at Urabna-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huajie","family":"Shao","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengzhong","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongxin","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinyang","family":"Li","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianshi","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaohan","family":"Hu","sequence":"additional","affiliation":[{"name":"IBM, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Su","sequence":"additional","affiliation":[{"name":"State University of New York at Buffalo, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Han","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tarek","family":"Abdelzaher","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).  Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2994551.2994564"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2632048.2632090"},{"key":"e_1_3_2_1_4_1","first-page":"2493","article-title":"Natural language processing (almost) from scratch","author":"Collobert Ronan","year":"2011","unstructured":"Ronan Collobert , Jason Weston , Le\u00b4on Bottou , Michael Karlen , Koray Kavukcuoglu , and Pavel Kuksa . 2011 . Natural language processing (almost) from scratch . Journal of Machine Learning Research12 , Aug (2011), 2493 - 2537 . Ronan Collobert, Jason Weston, Le\u00b4on Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. Journal of Machine Learning Research12, Aug (2011), 2493-2537.","journal-title":"Journal of Machine Learning Research12"},{"key":"e_1_3_2_1_5_1","unstructured":"Yarin Gal and Zoubin Ghahramani. 2015. Dropout as a Bayesian approximation. arXiv preprint arXiv:1506.02157(2015).  Yarin Gal and Zoubin Ghahramani. 2015. Dropout as a Bayesian approximation. arXiv preprint arXiv:1506.02157(2015)."},{"key":"e_1_3_2_1_6_1","unstructured":"Yarin Gal and Zoubin Ghahramani. 2016. A theoretically grounded application of dropout in recurrent neural networks. In Advances in neural information processing systems. 1019-1027.   Yarin Gal and Zoubin Ghahramani. 2016. A theoretically grounded application of dropout in recurrent neural networks. In Advances in neural information processing systems. 1019-1027."},{"key":"e_1_3_2_1_7_1","unstructured":"Rafael C Gonzalez Richard E Woods 2002. Digital image processing.   Rafael C Gonzalez Richard E Woods 2002. Digital image processing."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2208331"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1925861.1925870"},{"key":"e_1_3_2_1_10_1","unstructured":"Song Han Huizi Mao and William J Dally. 2015. Deep compression: Compressing deep neural networks with pruning trained quantization and huffman coding. arXiv preprint arXiv:1510.00149(2015).  Song Han Huizi Mao and William J Dally. 2015. Deep compression: Compressing deep neural networks with pruning trained quantization and huffman coding. arXiv preprint arXiv:1510.00149(2015)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517351.2517367"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1968.sp008455"},{"key":"e_1_3_2_1_14_1","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016).  Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016)."},{"key":"e_1_3_2_1_15_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097-1105.   Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097-1105."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804262"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906401"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2500423.2500436"},{"key":"e_1_3_2_1_20_1","unstructured":"Oren Rippel Jasper Snoek and Ryan P Adams. 2015. Spectral representations for convolutional neural networks. In Advances in neural information processing systems. 2449-2457.   Oren Rippel Jasper Snoek and Ryan P Adams. 2015. Spectral representations for convolutional neural networks. In Advances in neural information processing systems. 2449-2457."},{"key":"e_1_3_2_1_21_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014).  Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014)."},{"key":"e_1_3_2_1_22_1","unstructured":"Julius Orion Smith. 2007. Mathematics of the discrete Fourier transform (DFT): with audio applications. Julius Smith.  Julius Orion Smith. 2007. Mathematics of the discrete Fourier transform (DFT): with audio applications. Julius Smith."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809718"},{"key":"e_1_3_2_1_24_1","volume-title":"Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, and Christopher J Pal.","author":"Trabelsi Chiheb","year":"2017","unstructured":"Chiheb Trabelsi , Olexa Bilaniuk , Ying Zhang , Dmitriy Serdyuk , Sandeep Subramanian , Jo\u00e3o Felipe Santos , Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, and Christopher J Pal. 2017 . Deep complex networks. arXiv preprint arXiv:1705.09792(2017). Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, Jo\u00e3o Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, and Christopher J Pal. 2017. Deep complex networks. arXiv preprint arXiv:1705.09792(2017)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790093"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052577"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274783.3274840"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3161181"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264954"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2018.00041"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/AAI29024394"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131672.3131675"},{"key":"e_1_3_2_1_33_1","unstructured":"Fisher Yu and Vladlen Koltun. 2015. Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122(2015).  Fisher Yu and Vladlen Koltun. 2015. Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122(2015)."}],"event":{"name":"WWW '19: The Web Conference","location":"San Francisco CA USA","acronym":"WWW '19","sponsor":["IW3C2 International World Wide Web Conference Committee"]},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313426","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313426","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:17Z","timestamp":1750208537000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313426"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":33,"alternative-id":["10.1145\/3308558.3313426","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313426","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}