{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T06:00:55Z","timestamp":1780639255852,"version":"3.54.1"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,20]]},"DOI":"10.23919\/date69613.2026.11539065","type":"proceedings-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T19:53:10Z","timestamp":1780602790000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Compression Space Search: RL-Based Combinational Compression for Neural Networks"],"prefix":"10.23919","author":[{"given":"Yingtao","family":"Shen","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinchen","family":"Ni","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiace","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zhao","sequence":"additional","affiliation":[{"name":"Microsoft Corporation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"An","family":"Zou","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3218603.3218647"},{"key":"ref2","article-title":"A survey on deep neural network compression: Challenges, overview, and solutions","author":"Mishra","year":"2020"},{"key":"ref3","article-title":"An overview of neural network compression","author":"O\u2019Neill","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3117837"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2021.3050770"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00215"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs15164015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-024-05747-w"},{"key":"ref9","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"Han","year":"2015"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26042"},{"key":"ref11","article-title":"Additive powers-of-two quantization: An efficient non-uniform discretization for neural networks","volume-title":"International Conference on Learning Representations","author":"Li"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17054"},{"key":"ref13","author":"Nagel","year":"2021","journal-title":"A white paper on neural network quantization"},{"key":"ref14","author":"Renda","year":"2020","journal-title":"Comparing rewinding and fine-tuning in neural network pruning"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","article-title":"Learning multiple layers of features from tiny images","volume-title":"Technical report","author":"Krizhevsky","year":"2009"},{"key":"ref18","author":"Shen","year":"2024","journal-title":"Order of compression: A systematic and optimal sequence to combinationally compress cnn"},{"key":"ref19","first-page":"25656","article-title":"Topology-aware network pruning using multi-stage graph embedding and reinforcement learning","volume-title":"International conference on machine learning","author":"Yu"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01203"},{"key":"ref21","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"International conference on machine learning","author":"Wang"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.32473\/flairs.v35i.130584"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref24","first-page":"10347","article-title":"Training data-efficient image transformers distillation through attention","volume-title":"International Conference on Machine Learning","volume":"139","author":"Touvron"},{"issue":"7","key":"ref25","first-page":"3","article-title":"Tiny imagenet visual recognition challenge","volume":"7","author":"Le","year":"2015","journal-title":"CS 231N"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07161-0"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86523-8_15"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106816"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2957203"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00100"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0292517"},{"key":"ref32","journal-title":"Netspresso model compressor model zoo"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/math12193032"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i4.28109"},{"key":"ref35","first-page":"19974","article-title":"Chasing sparsity in vision transformers: An end-to-end exploration","volume":"34","author":"Chen","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref36","article-title":"Unified visual transformer compression","author":"Yu","year":"2022","journal-title":"ICLR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.52202\/068431-2496"},{"key":"ref38","article-title":"Ppt: Token pruning and pooling for efficient vision transformers","author":"Wu","year":"2023"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01183"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"}],"event":{"name":"2026 Design, Automation &amp; Test in Europe Conference (DATE)","location":"Verona, Italy","start":{"date-parts":[[2026,4,20]]},"end":{"date-parts":[[2026,4,22]]}},"container-title":["2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11539023\/11539024\/11539065.pdf?arnumber=11539065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:09:43Z","timestamp":1780636183000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11539065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,20]]},"references-count":40,"URL":"https:\/\/doi.org\/10.23919\/date69613.2026.11539065","relation":{},"subject":[],"published":{"date-parts":[[2026,4,20]]}}}