[{"user_id":"102868","language":[{"iso":"eng"}],"_id":"63530","date_updated":"2026-03-31T06:44:22Z","title":"Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning","year":"2026","status":"public","author":[{"id":"44169","full_name":"Illian, Marvin","first_name":"Marvin","last_name":"Illian","orcid":"0009-0007-2992-8346"},{"full_name":"Khalili, Ramin","last_name":"Khalili","first_name":"Ramin"},{"full_name":"Rocha, Antonio A. de A.","first_name":"Antonio A. de A.","last_name":"Rocha"},{"full_name":"Wang, Lin","orcid":"0000-0001-7181-6128","last_name":"Wang","first_name":"Lin","id":"102868"}],"type":"preprint","department":[{"_id":"75"}],"external_id":{"arxiv":["2601.04083"]},"date_created":"2026-01-08T07:58:22Z","abstract":[{"lang":"eng","text":"The widespread deployment of 5G networks, together with the coexistence of 4G/LTE networks, provides mobile devices a diverse set of candidate cells to connect to. However, associating mobile devices to cells to maximize overall network performance, a.k.a. cell (re)selection, remains a key challenge for mobile operators. Today, cell (re)selection parameters are typically configured manually based on operator experience and rarely adapted to dynamic network conditions. In this work, we ask: Can an agent automatically learn and adapt cell (re)selection parameters to consistently improve network performance? We present a reinforcement learning (RL)-based framework called CellPilot that adaptively tunes cell (re)selection parameters by learning spatiotemporal patterns of mobile network dynamics. Our study with real-world data demonstrates that even a lightweight RL agent can outperform conventional heuristic reconfigurations by up to 167%, while generalizing effectively across different network scenarios. These results indicate that data-driven approaches can significantly improve cell (re)selection configurations and enhance mobile network performance."}],"publication":"arXiv:2601.04083","citation":{"mla":"Illian, Marvin, et al. “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” <i>ArXiv:2601.04083</i>, 2026.","bibtex":"@article{Illian_Khalili_Rocha_Wang_2026, title={Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning}, journal={arXiv:2601.04083}, author={Illian, Marvin and Khalili, Ramin and Rocha, Antonio A. de A. and Wang, Lin}, year={2026} }","ama":"Illian M, Khalili R, Rocha AA de A, Wang L. Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. <i>arXiv:260104083</i>. Published online 2026.","ieee":"M. Illian, R. Khalili, A. A. de A. Rocha, and L. Wang, “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning,” <i>arXiv:2601.04083</i>. 2026.","apa":"Illian, M., Khalili, R., Rocha, A. A. de A., &#38; Wang, L. (2026). Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. In <i>arXiv:2601.04083</i>.","chicago":"Illian, Marvin, Ramin Khalili, Antonio A. de A. Rocha, and Lin Wang. “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” <i>ArXiv:2601.04083</i>, 2026.","short":"M. Illian, R. Khalili, A.A. de A. Rocha, L. Wang, ArXiv:2601.04083 (2026)."}},{"citation":{"ieee":"H. Shaaban KabakiboKabakibo, A. Trivedi, and L. Wang, “Breaking the Ice: Analyzing Cold Start Latency in vLLM,” presented at the The 9th Annual Conference on Machine Learning and Systems (MLSys 2026) , Bellevue, WA, 2026.","mla":"Shaaban KabakiboKabakibo, Huzaifa, et al. “Breaking the Ice: Analyzing Cold Start Latency in VLLM.” <i>The 9th Annual Conference on Machine Learning and Systems (MLSys)</i>, 2026.","apa":"Shaaban KabakiboKabakibo, H., Trivedi, A., &#38; Wang, L. (2026). Breaking the Ice: Analyzing Cold Start Latency in vLLM. <i>The 9th Annual Conference on Machine Learning and Systems (MLSys)</i>. The 9th Annual Conference on Machine Learning and Systems (MLSys 2026) , Bellevue, WA.","bibtex":"@inproceedings{Shaaban KabakiboKabakibo_Trivedi_Wang_2026, title={Breaking the Ice: Analyzing Cold Start Latency in vLLM}, booktitle={The 9th Annual Conference on Machine Learning and Systems (MLSys)}, author={Shaaban KabakiboKabakibo, Huzaifa and Trivedi, Animesh and Wang, Lin}, year={2026} }","ama":"Shaaban KabakiboKabakibo H, Trivedi A, Wang L. Breaking the Ice: Analyzing Cold Start Latency in vLLM. In: <i>The 9th Annual Conference on Machine Learning and Systems (MLSys)</i>. ; 2026.","short":"H. Shaaban KabakiboKabakibo, A. Trivedi, L. Wang, in: The 9th Annual Conference on Machine Learning and Systems (MLSys), 2026.","chicago":"Shaaban KabakiboKabakibo, Huzaifa, Animesh Trivedi, and Lin Wang. “Breaking the Ice: Analyzing Cold Start Latency in VLLM.” In <i>The 9th Annual Conference on Machine Learning and Systems (MLSys)</i>, 2026."},"publication":"The 9th Annual Conference on Machine Learning and Systems (MLSys)","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"type":"conference","date_created":"2026-03-31T06:34:37Z","date_updated":"2026-03-31T06:41:10Z","author":[{"last_name":"Shaaban KabakiboKabakibo","first_name":"Huzaifa","full_name":"Shaaban KabakiboKabakibo, Huzaifa"},{"full_name":"Trivedi, Animesh","last_name":"Trivedi","first_name":"Animesh"},{"id":"102868","first_name":"Lin","last_name":"Wang","orcid":"0000-0001-7181-6128","full_name":"Wang, Lin"}],"conference":{"end_date":"2026-05-22","location":"Bellevue, WA","start_date":"2026-05-18","name":"The 9th Annual Conference on Machine Learning and Systems (MLSys 2026) "},"status":"public","title":"Breaking the Ice: Analyzing Cold Start Latency in vLLM","year":"2026","user_id":"102868","_id":"65249","language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"_id":"65250","user_id":"102868","status":"public","title":"Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models ","year":"2026","author":[{"first_name":"Sepideh","last_name":"Zohdi","full_name":"Zohdi, Sepideh"},{"id":"102868","first_name":"Lin","last_name":"Wang","orcid":"0000-0001-7181-6128","full_name":"Wang, Lin"}],"conference":{"location":"Edinburg","name":"The 6th Workshop on Machine Learning and Systems (EuroMLSys)","start_date":"2026-04-27","end_date":"2026-04-27"},"date_updated":"2026-03-31T06:39:41Z","date_created":"2026-03-31T06:38:34Z","type":"conference","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"publication":"The 6th Workshop on Machine Learning and Systems (EuroMLSys)","citation":{"mla":"Zohdi, Sepideh, and Lin Wang. “Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models .” <i>The 6th Workshop on Machine Learning and Systems (EuroMLSys)</i>, 2026.","ama":"Zohdi S, Wang L. Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models . In: <i>The 6th Workshop on Machine Learning and Systems (EuroMLSys)</i>. ; 2026.","bibtex":"@inproceedings{Zohdi_Wang_2026, title={Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models }, booktitle={The 6th Workshop on Machine Learning and Systems (EuroMLSys)}, author={Zohdi, Sepideh and Wang, Lin}, year={2026} }","apa":"Zohdi, S., &#38; Wang, L. (2026). Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models . <i>The 6th Workshop on Machine Learning and Systems (EuroMLSys)</i>. The 6th Workshop on Machine Learning and Systems (EuroMLSys), Edinburg.","ieee":"S. Zohdi and L. Wang, “Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models ,” presented at the The 6th Workshop on Machine Learning and Systems (EuroMLSys), Edinburg, 2026.","chicago":"Zohdi, Sepideh, and Lin Wang. “Before the First Token: Benchmarking Data Preprocessing in Vision-Language Models .” In <i>The 6th Workshop on Machine Learning and Systems (EuroMLSys)</i>, 2026.","short":"S. Zohdi, L. Wang, in: The 6th Workshop on Machine Learning and Systems (EuroMLSys), 2026."}},{"user_id":"44169","language":[{"iso":"eng"}],"_id":"65013","publisher":"IFIP","date_updated":"2026-05-20T08:45:27Z","title":"Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning","year":"2026","status":"public","author":[{"id":"44169","full_name":"Illian, Marvin","first_name":"Marvin","orcid":"0009-0007-2992-8346","last_name":"Illian"},{"full_name":"Khalili, Ramin","last_name":"Khalili","first_name":"Ramin"},{"first_name":"Antonio","last_name":"A. de A. Rocha","full_name":"A. de A. Rocha, Antonio"},{"id":"102868","first_name":"Lin","last_name":"Wang","orcid":"0000-0001-7181-6128","full_name":"Wang, Lin"}],"type":"conference","department":[{"_id":"75"}],"date_created":"2026-03-16T14:46:45Z","quality_controlled":"1","publication":"2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","citation":{"chicago":"Illian, Marvin, Ramin Khalili, Antonio A. de A. Rocha, and Lin Wang. “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” In <i>2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)</i>. IFIP, 2026.","short":"M. Illian, R. Khalili, A. A. de A. Rocha, L. Wang, in: 2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), IFIP, 2026.","ieee":"M. Illian, R. Khalili, A. A. de A. Rocha, and L. Wang, “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning,” 2026.","apa":"Illian, M., Khalili, R., A. de A. Rocha, A., &#38; Wang, L. (2026). Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. <i>2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)</i>.","bibtex":"@inproceedings{Illian_Khalili_A. de A. Rocha_Wang_2026, title={Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning}, booktitle={2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)}, publisher={IFIP}, author={Illian, Marvin and Khalili, Ramin and A. de A. Rocha, Antonio and Wang, Lin}, year={2026} }","ama":"Illian M, Khalili R, A. de A. Rocha A, Wang L. Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning. In: <i>2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)</i>. IFIP; 2026.","mla":"Illian, Marvin, et al. “Cells on Autopilot: Adaptive Cell (Re)Selection via Reinforcement Learning.” <i>2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)</i>, IFIP, 2026."}},{"date_created":"2026-09-30T12:59:21Z","type":"conference","citation":{"apa":"Illian, M., Khalili, R., de A. Rocha, A. A., &#38; Wang, L. (2026). Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection. <i>2026 IEEE 51st Conference on Local Computer Networks (LCN)</i>. <a href=\"https://doi.org/10.1109/lcn67947.2026.11660770\">https://doi.org/10.1109/lcn67947.2026.11660770</a>","ieee":"M. Illian, R. Khalili, A. A. de A. Rocha, and L. Wang, “Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection,” 2026, doi: <a href=\"https://doi.org/10.1109/lcn67947.2026.11660770\">10.1109/lcn67947.2026.11660770</a>.","short":"M. Illian, R. Khalili, A.A. de A. Rocha, L. Wang, in: 2026 IEEE 51st Conference on Local Computer Networks (LCN), IEEE, 2026.","chicago":"Illian, Marvin, Ramin Khalili, Antonio A. de A. Rocha, and Lin Wang. “Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection.” In <i>2026 IEEE 51st Conference on Local Computer Networks (LCN)</i>. IEEE, 2026. <a href=\"https://doi.org/10.1109/lcn67947.2026.11660770\">https://doi.org/10.1109/lcn67947.2026.11660770</a>.","mla":"Illian, Marvin, et al. “Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection.” <i>2026 IEEE 51st Conference on Local Computer Networks (LCN)</i>, IEEE, 2026, doi:<a href=\"https://doi.org/10.1109/lcn67947.2026.11660770\">10.1109/lcn67947.2026.11660770</a>.","ama":"Illian M, Khalili R, de A. Rocha AA, Wang L. Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection. In: <i>2026 IEEE 51st Conference on Local Computer Networks (LCN)</i>. IEEE; 2026. doi:<a href=\"https://doi.org/10.1109/lcn67947.2026.11660770\">10.1109/lcn67947.2026.11660770</a>","bibtex":"@inproceedings{Illian_Khalili_de A. Rocha_Wang_2026, title={Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection}, DOI={<a href=\"https://doi.org/10.1109/lcn67947.2026.11660770\">10.1109/lcn67947.2026.11660770</a>}, booktitle={2026 IEEE 51st Conference on Local Computer Networks (LCN)}, publisher={IEEE}, author={Illian, Marvin and Khalili, Ramin and de A. Rocha, Antonio A. and Wang, Lin}, year={2026} }"},"publication":"2026 IEEE 51st Conference on Local Computer Networks (LCN)","_id":"67287","language":[{"iso":"eng"}],"publisher":"IEEE","doi":"10.1109/lcn67947.2026.11660770","user_id":"44169","author":[{"id":"44169","orcid":"0009-0007-2992-8346","first_name":"Marvin","last_name":"Illian","full_name":"Illian, Marvin"},{"last_name":"Khalili","first_name":"Ramin","full_name":"Khalili, Ramin"},{"full_name":"de A. Rocha, Antonio A.","first_name":"Antonio A.","last_name":"de A. Rocha"},{"id":"102868","orcid":"0000-0001-7181-6128","first_name":"Lin","last_name":"Wang","full_name":"Wang, Lin"}],"status":"public","title":"Cooperative Multi-Agent Reinforcement Learning for Idle-Mode Cell (Re)Selection","year":"2026","date_updated":"2026-09-30T13:03:29Z","publication_status":"published"},{"publication_status":"published","date_updated":"2025-12-12T08:08:49Z","author":[{"last_name":"Apostolo","first_name":"Guilherme Henrique","full_name":"Apostolo, Guilherme Henrique"},{"full_name":"Bauszat, Pablo","first_name":"Pablo","last_name":"Bauszat"},{"full_name":"Nigade, Vinod","last_name":"Nigade","first_name":"Vinod"},{"full_name":"Bal, Henri E.","last_name":"Bal","first_name":"Henri E."},{"id":"102868","full_name":"Wang, Lin","first_name":"Lin","orcid":"0000-0001-7181-6128","last_name":"Wang"}],"conference":{"end_date":"2025-11-08","location":"Hong Kong, China","name":"31st Annual International Conference on Mobile Computing and Networking (MobiCom)","start_date":"2025-11-04"},"title":"Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices","year":"2025","status":"public","user_id":"102868","doi":"10.1145/3680207.3765260","language":[{"iso":"eng"}],"_id":"63054","publisher":"ACM","citation":{"bibtex":"@inproceedings{Apostolo_Bauszat_Nigade_Bal_Wang_2025, title={Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices}, DOI={<a href=\"https://doi.org/10.1145/3680207.3765260\">10.1145/3680207.3765260</a>}, booktitle={Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)}, publisher={ACM}, author={Apostolo, Guilherme Henrique and Bauszat, Pablo and Nigade, Vinod and Bal, Henri E. and Wang, Lin}, year={2025} }","ama":"Apostolo GH, Bauszat P, Nigade V, Bal HE, Wang L. Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices. In: <i>Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3680207.3765260\">10.1145/3680207.3765260</a>","mla":"Apostolo, Guilherme Henrique, et al. “Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices.” <i>Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3680207.3765260\">10.1145/3680207.3765260</a>.","short":"G.H. Apostolo, P. Bauszat, V. Nigade, H.E. Bal, L. Wang, in: Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom), ACM, 2025.","chicago":"Apostolo, Guilherme Henrique, Pablo Bauszat, Vinod Nigade, Henri E. Bal, and Lin Wang. “Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices.” In <i>Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)</i>. ACM, 2025. <a href=\"https://doi.org/10.1145/3680207.3765260\">https://doi.org/10.1145/3680207.3765260</a>.","ieee":"G. H. Apostolo, P. Bauszat, V. Nigade, H. E. Bal, and L. Wang, “Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices,” presented at the 31st Annual International Conference on Mobile Computing and Networking (MobiCom), Hong Kong, China, 2025, doi: <a href=\"https://doi.org/10.1145/3680207.3765260\">10.1145/3680207.3765260</a>.","apa":"Apostolo, G. H., Bauszat, P., Nigade, V., Bal, H. E., &#38; Wang, L. (2025). Uirapuru: Timely Video Analytics for High-Resolution Steerable Cameras on Edge Devices. <i>Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)</i>. 31st Annual International Conference on Mobile Computing and Networking (MobiCom), Hong Kong, China. <a href=\"https://doi.org/10.1145/3680207.3765260\">https://doi.org/10.1145/3680207.3765260</a>"},"publication":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking (MobiCom)","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"type":"conference","date_created":"2025-12-12T08:06:10Z"},{"publication_status":"published","date_updated":"2025-12-12T08:14:11Z","intvolume":"        10","year":"2025","title":"Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters","publication_identifier":{"issn":["2377-3782","2377-3790"]},"author":[{"first_name":"Qiangyu","last_name":"Pei","full_name":"Pei, Qiangyu"},{"full_name":"Yuan, Yongjie","last_name":"Yuan","first_name":"Yongjie"},{"first_name":"Haichuan","last_name":"Hu","full_name":"Hu, Haichuan"},{"last_name":"Wang","first_name":"Lin","orcid":"0000-0001-7181-6128","full_name":"Wang, Lin","id":"102868"},{"last_name":"Zhang","first_name":"Dong","full_name":"Zhang, Dong"},{"full_name":"Yan, Bingheng","last_name":"Yan","first_name":"Bingheng"},{"first_name":"Chen","last_name":"Yu","full_name":"Yu, Chen"},{"full_name":"Liu, Fangming","first_name":"Fangming","last_name":"Liu"}],"doi":"10.1109/tsusc.2025.3542563","language":[{"iso":"eng"}],"publication":"IEEE Transactions on Sustainable Computing","issue":"4","type":"journal_article","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"date_created":"2025-12-12T08:13:53Z","status":"public","user_id":"102868","volume":10,"page":"804-819","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","_id":"63057","citation":{"mla":"Pei, Qiangyu, et al. “Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters.” <i>IEEE Transactions on Sustainable Computing</i>, vol. 10, no. 4, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 804–19, doi:<a href=\"https://doi.org/10.1109/tsusc.2025.3542563\">10.1109/tsusc.2025.3542563</a>.","ama":"Pei Q, Yuan Y, Hu H, et al. Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters. <i>IEEE Transactions on Sustainable Computing</i>. 2025;10(4):804-819. doi:<a href=\"https://doi.org/10.1109/tsusc.2025.3542563\">10.1109/tsusc.2025.3542563</a>","bibtex":"@article{Pei_Yuan_Hu_Wang_Zhang_Yan_Yu_Liu_2025, title={Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters}, volume={10}, DOI={<a href=\"https://doi.org/10.1109/tsusc.2025.3542563\">10.1109/tsusc.2025.3542563</a>}, number={4}, journal={IEEE Transactions on Sustainable Computing}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Pei, Qiangyu and Yuan, Yongjie and Hu, Haichuan and Wang, Lin and Zhang, Dong and Yan, Bingheng and Yu, Chen and Liu, Fangming}, year={2025}, pages={804–819} }","apa":"Pei, Q., Yuan, Y., Hu, H., Wang, L., Zhang, D., Yan, B., Yu, C., &#38; Liu, F. (2025). Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters. <i>IEEE Transactions on Sustainable Computing</i>, <i>10</i>(4), 804–819. <a href=\"https://doi.org/10.1109/tsusc.2025.3542563\">https://doi.org/10.1109/tsusc.2025.3542563</a>","ieee":"Q. Pei <i>et al.</i>, “Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters,” <i>IEEE Transactions on Sustainable Computing</i>, vol. 10, no. 4, pp. 804–819, 2025, doi: <a href=\"https://doi.org/10.1109/tsusc.2025.3542563\">10.1109/tsusc.2025.3542563</a>.","chicago":"Pei, Qiangyu, Yongjie Yuan, Haichuan Hu, Lin Wang, Dong Zhang, Bingheng Yan, Chen Yu, and Fangming Liu. “Working Smarter Not Harder: Hybrid Cooling for Deep Learning in Edge Datacenters.” <i>IEEE Transactions on Sustainable Computing</i> 10, no. 4 (2025): 804–19. <a href=\"https://doi.org/10.1109/tsusc.2025.3542563\">https://doi.org/10.1109/tsusc.2025.3542563</a>.","short":"Q. Pei, Y. Yuan, H. Hu, L. Wang, D. Zhang, B. Yan, C. Yu, F. Liu, IEEE Transactions on Sustainable Computing 10 (2025) 804–819."}},{"date_updated":"2025-12-12T08:13:18Z","publication_status":"published","year":"2025","title":"It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation","status":"public","conference":{"location":"Milan, Italy","name":"2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)"},"author":[{"first_name":"Jing","last_name":"Wu","full_name":"Wu, Jing"},{"id":"102868","first_name":"Lin","orcid":"0000-0001-7181-6128","last_name":"Wang","full_name":"Wang, Lin"},{"full_name":"Deng, Quanfeng","last_name":"Deng","first_name":"Quanfeng"},{"full_name":"Yu, Chen","first_name":"Chen","last_name":"Yu"},{"last_name":"Zhang","first_name":"Dong","full_name":"Zhang, Dong"},{"full_name":"Yan, Bingheng","last_name":"Yan","first_name":"Bingheng"},{"full_name":"Liu, Fangming","first_name":"Fangming","last_name":"Liu"}],"doi":"10.1109/ipdps64566.2025.00012","user_id":"102868","language":[{"iso":"eng"}],"_id":"63056","publisher":"IEEE","publication":"2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)","citation":{"ieee":"J. Wu <i>et al.</i>, “It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation,” presented at the 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Milan, Italy, 2025, doi: <a href=\"https://doi.org/10.1109/ipdps64566.2025.00012\">10.1109/ipdps64566.2025.00012</a>.","apa":"Wu, J., Wang, L., Deng, Q., Yu, C., Zhang, D., Yan, B., &#38; Liu, F. (2025). It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation. <i>2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)</i>. 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Milan, Italy. <a href=\"https://doi.org/10.1109/ipdps64566.2025.00012\">https://doi.org/10.1109/ipdps64566.2025.00012</a>","chicago":"Wu, Jing, Lin Wang, Quanfeng Deng, Chen Yu, Dong Zhang, Bingheng Yan, and Fangming Liu. “It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation.” In <i>2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)</i>. IEEE, 2025. <a href=\"https://doi.org/10.1109/ipdps64566.2025.00012\">https://doi.org/10.1109/ipdps64566.2025.00012</a>.","short":"J. Wu, L. Wang, Q. Deng, C. Yu, D. Zhang, B. Yan, F. 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