| NeurIPS'24 | Haiyang Huang, Newsha Ardalani, Anna Sun, Liu Ke, Shruti Bhosale, Hsien-Hsin S. Lee, Carole-Jean Wu, Benjamin C. Lee. "Toward Efficient Inference for Mixtures of Experts." In the 38th Annual Conference on Neural Information Processing System, Vancouver, Canada, December 2024. |
| IEEE MICRO | Hsien-Hsin S. Lee. "The Path to Powering Intelligence." In IEEE MICRO Special on The Past, Present, and Future of Warehouse-Scale Computing, Volume 44, Issue 5, Sept/Oct, 2024.
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| USENIX Security'24 | Trishita Tiwari, Suchin Gururangan, Chuan Guo, Weizhe Hua, Sanjay Kariyappa, Udit Gupta, Wenjie Xiong, Kiwan Maeng, Hsien-Hsin S. Lee, G. Edward Suh. "Information Flow Control in Machine Learning Through Modular Model Architecture." In the 33rd USENIX Security Symposium, Philadelphia, PA, August, 2024.
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| IEEE MICRO | Hsien-Hsin S. Lee. "Top Picks Ignite Innovation." In IEEE MICRO Special on Top Picks of Computer Archtiecture Conferences of 2023, Volume 44, Issue 4, July/August, 2024.
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| IEEE MICRO | Hsien-Hsin S. Lee. "An Incoming World of Decoupling Siliconomy." In IEEE MICRO Special on Hot Chips, Volume 44, Issue 3, May/June, 2024.
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| ASPLOS'24 | Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh. "GPU-based Private Information Retrieval for On-Device Machine Learning." In the ACM International Conference on Architectural Support for Programming Languages and Operating Systems, San Diego, California, April, 2024.
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| IEEE MICRO | Hsien-Hsin S. Lee. "Beyond Wires: The Future of Interconnects." In IEEE MICRO Special on Hot Interconnects, Volume 44, Issue 2, March/April, 2024.
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| IEEE MICRO | Hsien-Hsin S. Lee. "Computing with COOL Chips." In IEEE MICRO Special on COOL Chips, Volume 44, Issue 1, Jan/Feb, 2024.
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| IEEE MICRO | Vivek Parmer, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri. "Exploring Memory-Oriented Design Optimization of Edge-AI Hardware for Extended Reality Applications." In IEEE MICRO Special Issue on TinyML, Volume 43, Issue 6, 2023. |
| ICML-2023 | Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, Edward Suh, Moinuddin K. Qureshi, and Hsien-Hsin S. Lee. "Cocktail Party Attack: Breaking Aggregation-based Privacy in Federated Learning Using Independent Component Analysis." In the 40th International Conference on Machine Learning, Honolulu, Hawaii, July, 2023.
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| IEEE MICRO | Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu. "Architectural CO2 Footprint Tool: Designing Sustainable Computer Systems With an Architectural Carbon Modeling Tool." In IEEE MICRO special issue on Top Picks from the Computer Architecture Conferences of 2022, Volume 43, Issue 4, pp.107-117, 2023. |
| TinyML-23 | Vivek Parmer, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri. "Memory-Oriented Design Space Exploration of Edge-AI Hardware for XR Applications." In tinyML Research Symposium, 2023.
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| ICLR-2023 | Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian. "MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection." In the 11th International Conference on Learning Representations, Kigali, Rwanda, May, 2023.
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| HPCA-29 | Mulong Luo, Wenjie Xiong, Geunbae Lee, Yueying Li, Xiaomeng Yang, Amy Zhang, Yuandong Tian, Hsien-Hsin S. Lee, G. Edward Suh. "AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks." In Proceedings of the 29th IEEE International Symposium on High-Performance Computer Architecture, Montreal, QC, Canada, Feb, 2023.
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| NeurIPS-TSRML | Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, and Hsien-Hsin S. Lee. "Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems." In the 2022 Trust and Socially Responsible Machine Learning co-located with NeurIPS, New Orleans, 2022.
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| MLSys-2022 | Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Max Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim Hazelwood. "Sustainable AI: Environmental Implications, Challenges and Opportunities." In Proceedings of the 5th Conference on Machine Learning and Systems, Santa Clara, CA, August, 2022.
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| ISCA-49 | Udit Gupta, Mariam Elgamal, Gage Hills, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, Carole-Jean Wu. "ACT: Designing Sustainable Computer Systems with an Architectural Carbon Modeling Tool." In Proceedings of the 49th ACM/IEEE International Symposium on Computer Architecture, New York City, New York, pp.784-799, June, 2022.
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| ISPASS-2022 | Yongqin Wang, Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee. "Characterization of MPC-based Private Inferences for Transformer-based Models." In Proceedings of the 2022 ACM/IEEE International Symposium on Performance Analysis of Systems and Software, Singapore, pp.187-197, May, 2022.
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| IEEE MICRO | Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu. "Chasing Carbon: The Elusive Environmental Footprint of Computing." In IEEE MICRO special issue on Top Picks from the Computer Architecture Conferences of 2021, May/June, Vol.42, Issue 4, pp.37-47, 2022. |
| HPCA-28 | Wenjie Xiong, Liu Ke, Dimitrije Jankov, Michael Kounavis, Xiaochen Wang, Eric Northup, Jie Amy Yang, Bilge Acun, Carole-Jean Wu, Ping Tak Peter Tang, G. Edward Suh, Xuan Zhang, and Hsien-Hsin S. Lee.. "SecNDP: Secure Near-Data Processing with Untrusted Memory." In Proceedings of the 28th IEEE International Symposium on High Performance Computer Architecture, Seoul, South Korea, pp.244-258, April, 2022.
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| HPCA-28 | Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, and Xuan Zhang. "Hercules: Heterogeneity-aware Inference Serving for At-scale Personalized Recommendation." In Proceedings of the 28th IEEE International Symposium on High Performance Computer Architecture, Seoul, South Korea, pp.141-154, April, 2022.
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| IEEE MICRO | Liu Ke, Xuan Zhang, Jinin So, Jong-Geon Lee, Shin-Haeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, JIN Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, Ilkwon Yun, Sung Joo Park, Hyunsun Park, Joonho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, and Hsien-Hsin S. Lee. "Near-Memory Processing in Action: Accelerating Personalized Recommendation with AxDIMM." In IEEE MICRO Special Issue on Processing in Memory, January/February, Vol.42, Issue 1, pp.116-127, 2022.
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| MICRO-54 | Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin S. Lee, Gu-Yeon Wei, Carole-Jean Wu, and David Brooks. "RecPipe: Co-Designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance." In Proceedings of the IEEE International Symposium on Microarchitecture, Athens, Greece, pp.870-884, October, 2021.
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| HPCA-27 | Udit Gupta, Young Geun Kim, Sylvia Lee, Jordan Tse, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks, Carole-Jean Wu. "Chasing Carbon: The Elusive Environmental Footprint of Computing." In Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, Seoul, South Korea, pp.854-867, February, 2021.
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| HPCA-27 | Brandon Reagen, Woo-Seok Choi, Yeongil Ko, Vincent T. Lee, Hsien-Hsin S. Lee, Gu-Yeon Wei, David Brooks. "Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference." In Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, Seoul, South Korea, pp.26-39, February, 2021.
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| ISCA-47 | Udit Gupta, Samuel Hsia, Vikram Saraph, Xiaodong Wang, Brandon Reagen, Gu-Yeon Wei, Hsien-Hsin S. Lee, David Brooks, and Carole-Jean Wu. "DeepRecSys: A System for Optimizing End-to-End At-Scale Neural Recommendation Inference." In Proceedings of the 47th ACM/IEEE International Symposium on Computer Architecture, Valencia, Spain, pp.982-995, June, 2020.
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| ISCA-47 | Liu Ke, Udit Gupta, Benjamin Y. Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, and Xuan Zhang. "RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing." In Proceedings of the 47th ACM/IEEE International Symposium on Computer Architecture, Valencia, Spain, pp.790-803, June, 2020.
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| HPCA-26 | Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang. "The Architectural Implications of Facebook's DNN-based Personalized Recommendation." In Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, San Diego, CA, pp.488-501, February, 2020.
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