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2020 – today
- 2026
[c7]Murali Ramanujam, Yinwei Dai, Kyle Jamieson, Ravi Netravali:
Remembrall: Leaning into Memory for Accurate Video Analytics on System-on-Chip GPUs. NSDI 2026: 1959-1974- [i9]Zhuofu Chen, Rui Pan, Yinwei Dai, Ravi Netravali:
Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents. CoRR abs/2605.08580 (2026) - [i8]Yinwei Dai, Zhuofu Chen, Lijie Yang, Ravi Netravali:
Geometry Guided Self-Consistency for Physical AI. CoRR abs/2605.08638 (2026) - [i7]Yinwei Dai, Ganesh Ananthanarayanan, Landon P. Cox, Xenofon Foukas, Bozidar Radunovic, Ravi Netravali:
Kairos: A Scalable Serving System for Physical AI. CoRR abs/2605.11381 (2026) - 2025
- [i6]Rui Pan
, Yinwei Dai, Zhihao Zhang, Gabriele Oliaro, Zhihao Jia, Ravi Netravali:
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning. CoRR abs/2504.07891 (2025) - [i5]Murali Ramanujam, Yinwei Dai, Kyle Jamieson, Ravi Netravali:
Legilimens: Performant Video Analytics on the System-on-Chip Edge. CoRR abs/2504.21136 (2025) - [i4]Yinwei Dai, Zhuofu Chen, Anand Iyer, Ravi Netravali:
Aragog: Just-in-Time Model Routing for Scalable Serving of Agentic Workflows. CoRR abs/2511.20975 (2025) - 2024
- [j1]Zhixuan Wu, Rusi Su, Yinwei Dai, Xue Wu, Haodong Wu, Xiaowu Wang, Ziqiong Wang, Jingxia Bao, Jiong Chen, Erjie Xia:
Deep pan-cancer analysis and multi-omics evidence reveal that ALG3 inhibits CD8+ T cell infiltration by suppressing chemokine secretion and is associated with 5-fluorouracil sensitivity. Comput. Biol. Medicine 177: 108666 (2024) - [c6]Yinwei Dai, Rui Pan, Anand P. Iyer, Kai Li, Ravi Netravali:
Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving. SOSP 2024: 607-623 - [c5]Anand Padmanabha Iyer, Mingyu Guan, Yinwei Dai, Rui Pan, Swapnil Gandhi, Ravi Netravali:
Improving DNN Inference Throughput Using Practical, Per-Input Compute Adaptation. SOSP 2024: 624-639 - 2023
- [c4]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC 2023: 125-141 - [c3]Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury:
ModelKeeper: Accelerating DNN Training via Automated Training Warmup. NSDI 2023: 769-785 - [i3]Yinwei Dai, Rui Pan, Anand P. Iyer, Kai Li, Ravi Netravali:
Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving. CoRR abs/2312.05385 (2023) - 2022
- [c2]Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale. ICML 2022: 11814-11827 - [i2]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. CoRR abs/2210.16656 (2022) - 2021
- [c1]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. ResilientFL 2021: 1-3 - [i1]Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury:
FedScale: Benchmarking Model and System Performance of Federated Learning. CoRR abs/2105.11367 (2021)
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