{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T16:26:51Z","timestamp":1783614411989,"version":"3.55.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"General Research Fund from the Research Grants Council of Hong Kong","award":["14202421"],"award-info":[{"award-number":["14202421"]}]},{"name":"General Research Fund from the Research Grants Council of Hong Kong","award":["14214122"],"award-info":[{"award-number":["14214122"]}]},{"name":"General Research Fund from the Research Grants Council of Hong Kong","award":["14202723"],"award-info":[{"award-number":["14202723"]}]},{"name":"Area of Excellence Scheme Grant from RGC of Hong Kong","award":["AoE\/E-601\/22-R"],"award-info":[{"award-number":["AoE\/E-601\/22-R"]}]},{"name":"NSFC\/RGC Collaborative Research Scheme from RGC of Hong Kong","award":["CRS_HKUST603\/22"],"award-info":[{"award-number":["CRS_HKUST603\/22"]}]},{"name":"Platform of Computer and Communication provided by ShanghaiTech University"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62471270"],"award-info":[{"award-number":["62471270"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Guangdong Basic and Applied Basic Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Areas Commun."],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1109\/jsac.2025.3559164","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:55:23Z","timestamp":1744206923000},"page":"2635-2650","source":"Crossref","is-referenced-by-count":3,"title":["Task-Oriented Lossy Compression With Data, Perception, and Classification Constraints"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2068-5329","authenticated-orcid":false,"given":"Yuhan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4383-9995","authenticated-orcid":false,"given":"Youlong","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7601-0466","authenticated-orcid":false,"given":"Shuai","family":"Ma","sequence":"additional","affiliation":[{"name":"Peng Cheng Laboratory, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7304-6849","authenticated-orcid":false,"given":"Ying-Jun Angela","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ITW61385.2024.10806970"},{"key":"ref2","article-title":"The information bottleneck\n                    method","author":"Tishby","year":"2000","journal-title":"arXiv:0004057"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2013.2288257"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2007.4557285"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991561"},{"key":"ref6","article-title":"Opening the black box of deep neural networks via\n                        information","author":"Shwartz-Ziv","year":"2017","journal-title":"arXiv:1703.00810"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126087"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3288252"},{"key":"ref9","first-page":"675","article-title":"Rethinking lossy compression: The\n                        rate-distortion-perception tradeoff","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","volume":"97","author":"Blau"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2024.3467282"},{"key":"ref11","first-page":"11913","article-title":"High-fidelity generative image\n                        compression","volume-title":"Proc. 34th Int. Conf. Neural\n                        Inf. Process. Syst. (NIPS)","author":"Mentzer"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tit.2025.3584291"},{"key":"ref13","article-title":"On distribution preserving\n                        quantization","author":"Li","year":"2011","journal-title":"arXiv:1108.3728"},{"key":"ref14","first-page":"11682","article-title":"On perceptual lossy compression: The cost of\n                        perceptual reconstruction and an optimal training\n                    framework","volume-title":"Proc. Int. Conf. Mach. Learn.\n                        (ICML)","author":"Yan"},{"key":"ref15","article-title":"On the advantages of stochastic\n                        encoders","author":"Theis","year":"2021","journal-title":"arXiv:2102.09270"},{"key":"ref16","article-title":"A coding theorem for the rate-distortion-perception\n                        function","author":"Theis","year":"2021","journal-title":"arXiv:2104.13662"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2022.3231820"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1973.1055107"},{"key":"ref20","first-page":"1","article-title":"Information bottleneck for Gaussian\n                        variables","volume-title":"Proc. Adv. Neural Inf.\n                        Process. Syst. (NIPS)","volume":"16","author":"Chechik"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref22","first-page":"1","article-title":"On the classification-distortion-perception\n                        tradeoff","volume-title":"Proc. 33rd Int. Conf. Neural\n                        Inf. Process. Syst. (NIPS)","author":"Liu"},{"key":"ref23","first-page":"25661","article-title":"A theory of the distortion-perception tradeoff in\n                        Wasserstein space","volume-title":"Proc. 35th Int. Conf.\n                        Neural Inf. Process. Syst. (NIPS)","author":"Freirich"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3016485"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367293"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/QoMEX.2016.7498955"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-022-01026-1"},{"key":"ref28","article-title":"Conditional generative adversarial\n                        nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref29","first-page":"1","article-title":"InfoGAN: Interpretable representation learning by\n                        information maximizing generative adversarial nets","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Chen"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6361"},{"key":"ref31","article-title":"Multi-task learning with deep neural networks: A\n                        survey","author":"Crawshaw","year":"2020","journal-title":"arXiv:2009.09796"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2024.3421517"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.002.2200468"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2147325"},{"key":"ref35","article-title":"Generative adversarial\n                        networks","author":"Goodfellow","year":"2014","journal-title":"arXiv:1406.2661"},{"key":"ref36","first-page":"214","article-title":"Wasserstein generative adversarial\n                        networks","volume-title":"Proc. 34th Int. Conf. Mach.\n                        Learn. (ICML)","volume":"70","author":"Arjovsky"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-79234-7"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2018.2865570"},{"key":"ref39","article-title":"Computation and critical transitions of\n                        rate-distortion-perception functions with Wasserstein\n                        barycenter","author":"Chen","year":"2024","journal-title":"arXiv:2404.04681"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1962.1057738"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1970.1054469"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1985.1057034"},{"key":"ref43","first-page":"12367","article-title":"Universally quantized neural\n                        compression","volume-title":"Proc. 34th Int. Conf. Neural\n                        Inf. Process. Syst. (NIPS)","author":"Agustsson"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_33"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00031"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT54713.2023.10206826"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71050-9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139030687"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3269444"},{"key":"ref50","first-page":"2292","article-title":"Sinkhorn distances: Lightspeed computation of optimal\n                        transport","volume-title":"Proc. 26th Int. Conf. Neural\n                        Inf. Process. Syst. (NIPS)","author":"Cuturi"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00207"}],"container-title":["IEEE Journal on Selected Areas in Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/49\/11039749\/10960410.pdf?arnumber=10960410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:06:31Z","timestamp":1770671191000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10960410\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":52,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/jsac.2025.3559164","relation":{},"ISSN":["1558-0008","0733-8716"],"issn-type":[{"value":"1558-0008","type":"electronic"},{"value":"0733-8716","type":"print"}],"subject":[],"published":{"date-parts":[[2025,7]]}}}