Practical Algorithms for Learning Near-Isometric Linear Embeddings. - Jerry Luo; Kayla Shapiro; Hao-Jun Michael Shi; Qi Yang; Kan Zhu (CoRR, 2016)

Can Storage Devices be Power Adaptive? - Dedong Xie; Theano Stavrinos; Kan Zhu; Simon Peter 001; Baris Kasikci; Thomas E. Anderson (HotStorage, 2024)

QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference. - Jiaming Tang; Yilong Zhao; Kan Zhu; Guangxuan Xiao; Baris Kasikci; Song Han 003 (ICML, 2024)

Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. - Yilong Zhao; Chien-Yu Lin; Kan Zhu; Zihao Ye 001; Lequn Chen 001; Size Zheng 001; Luis Ceze; Arvind Krishnamurthy; Tianqi Chen 001; Baris Kasikci (MLSys, 2024)

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models. - Keisuke Kamahori; Yile Gu; Kan Zhu; Baris Kasikci (CoRR, 2024)

NanoFlow: Towards Optimal Large Language Model Serving Throughput. - Kan Zhu; Yilong Zhao; Liangyu Zhao; Gefei Zuo; Yile Gu; Dedong Xie; Yufei Gao; Qinyu Xu; Tian Tang; Zihao Ye 001; Keisuke Kamahori; Chien-Yu Lin; et al. (CoRR, 2024)

BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching. - Yilong Zhao; Shuo Yang; Kan Zhu; Lianmin Zheng; Baris Kasikci; Yang Zhou; Jiarong Xing; Ion Stoica (CoRR, 2024)

From Optimal to Practical: Efficient Micro-op Cache Replacement Policies for Data Center Applications. - Kan Zhu; Yilong Zhao; Yufei Gao; Peter Braun 005; Tanvir Ahmed Khan; Heiner Litz; Baris Kasikci; Shuwen Deng (HPCA, 2025)

Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models. - Keisuke Kamahori; Tian Tang; Yile Gu; Kan Zhu; Baris Kasikci (ICLR, 2025)

NanoFlow: Towards Optimal Large Language Model Serving Throughput. - Kan Zhu; Yufei Gao; Yilong Zhao; Liangyu Zhao; Gefei Zuo; Yile Gu; Dedong Xie; Zihao Ye 001; Keisuke Kamahori; Chien-Yu Lin; Ziren Wang; Stephanie Wang; et al. (OSDI, 2025)

Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs. - Kan Zhu; Tian Tang; Qinyu Xu; Yile Gu; Zhichen Zeng 002; Rohan Kadekodi; Liangyu Zhao; Ang Li; Arvind Krishnamurthy; Baris Kasikci (CoRR, 2025)

TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval. - Chien-Yu Lin; Keisuke Kamahori; Yiyu Liu; Xiaoxiang Shi; Madhav Mahesh Kashyap; Yile Gu; Rulin Shao; Zihao Ye 001; Kan Zhu; Stephanie Wang; Arvind Krishnamurthy; Rohan Kadekodi; et al. (CoRR, 2025)

PolyServe: Efficient Multi-SLO Serving at Scale. - Kan Zhu; Haiyang Shi; Le Xu; Jiaxin Shan; Arvind Krishnamurthy; Baris Kasikci; Liguang Xie (CoRR, 2025)