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• 2023 : H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models »
  Zhenyu Zhang · Ying Sheng · Tianyi Zhou · Tianlong Chen · Lianmin Zheng · Ruisi Cai · Zhao Song · Yuandong Tian · Christopher Re · Clark Barrett · Zhangyang “Atlas” Wang · Beidi Chen
• 2023 Poster: FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU »
  Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang
• 2023 Oral: FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU »
  Ying Sheng · Lianmin Zheng · Binhang Yuan · Zhuohan Li · Max Ryabinin · Beidi Chen · Percy Liang · Christopher Re · Ion Stoica · Ce Zhang
• 2022 Poster: GACT: Activation Compressed Training for Generic Network Architectures »
  Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung
• 2022 Spotlight: GACT: Activation Compressed Training for Generic Network Architectures »
  Xiaoxuan Liu · Lianmin Zheng · Dequan Wang · Yukuo Cen · Weize Chen · Xu Han · Jianfei Chen · Zhiyuan Liu · Jie Tang · Joseph Gonzalez · Michael Mahoney · Alvin Cheung
• 2022 : Tools for Big Model, Key Takeaways, and Q&A »
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• 2022 Tutorial: Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models »
  Hao Zhang · Lianmin Zheng · Zhuohan Li · Ion Stoica
• 2021 Poster: ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training »
  Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
• 2021 Oral: ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training »
  Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez