Kai Lu

According to our database, Kai Lu authored at least 24 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

DFlush: DPU-Offloaded Flush for Disaggregated LSM-based Key-Value Stores.

Chen Ding, Kai Lu, Quanyi Zhang, Zekun Ye, Ting Yao, Daohui Wang, Huatao Wu, Jiguang Wan

Proc. ACM Manag. Data, June, 2025

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation.

Wei Tao, Xiaoyang Qu, Kai Lu, Jiguang Wan, Shenglin He, Jianzong Wang

CoRR, June, 2025

MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs.

Wei Tao, Xiaoyang Qu, Kai Lu, Jiguang Wan, Guokuan Li, Jianzong Wang

CoRR, April, 2025

NStore: A High-Performance NUMA-Aware Key-Value Store for Hybrid Memory.

Zhonghua Wang, Kai Lu, Jiguang Wan, Hong Jiang, Zeyang Zhao, Peng Xu, Biliang Lai, Guokuan Li, Changsheng Xie

IEEE Trans. Computers, March, 2025

DShuffle: DPU-Optimized Shuffle Framework for Large-scale Data Processing.

Chen Ding, Sicen Li, Kai Lu, Ting Yao, Daohui Wang, Huatao Wu, Jiguang Wan, Zhihu Tan, Changsheng Xie

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts.

Wei Tao, Haocheng Lu, Xiaoyang Qu, Bin Zhang, Kai Lu, Jiguang Wan, Jianzong Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models.

Junjie Li, Nan Zhang, Xiaoyang Qu, Kai Lu, Guokuan Li, Jiguang Wan, Jianzong Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations.

Bin Zhang, Jinggang Chen, Xiaoyang Qu, Guokuan Li, Kai Lu, Jiguang Wan, Jing Xiao, Jianzong Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Scythe: A Low-latency RDMA-enabled Distributed Transaction System for Disaggregated Memory.

Kai Lu, Siqi Zhao, Haikang Shan, Qiang Wei, Guokuan Li, Jiguang Wan, Ting Yao, Huatao Wu, Daohui Wang

ACM Trans. Archit. Code Optim., September, 2024

D²Comp: Efficient Offload of LSM-tree Compaction with Data Processing Units on Disaggregated Storage.

Chen Ding, Jian Zhou, Kai Lu, Sicen Li, Yiqin Xiong, Jiguang Wan, Ling Zhan

ACM Trans. Archit. Code Optim., September, 2024

WIPE: A Write-Optimized Learned Index for Persistent Memory.

Zhonghua Wang, Chen Ding, Fengguang Song, Kai Lu, Jiguang Wan, Zhihu Tan, Changsheng Xie, Guokuan Li

ACM Trans. Archit. Code Optim., June, 2024

A Contract-aware and Cost-effective LSM Store for Cloud Storage with Low Latency Spikes.

Yuanhui Zhou, Jian Zhou, Kai Lu, Ling Zhan, Peng Xu, Peng Wu, Shuning Chen, Xian Liu, Jiguang Wan

ACM Trans. Storage, May, 2024

Rcmp: Reconstructing RDMA-Based Memory Disaggregation via CXL.

Zhonghua Wang, Yixing Guo, Kai Lu, Jiguang Wan, Daohui Wang, Ting Yao, Huatao Wu

ACM Trans. Archit. Code Optim., March, 2024

SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure.

Xinhao Min, Kai Lu, Pengyu Liu, Jiguang Wan, Changsheng Xie, Daohui Wang, Ting Yao, Huatao Wu

Proc. VLDB Endow., January, 2024

Hammer: Towards Efficient Hot-Cold Data Identification via Online Learning.

Kai Lu, Siqi Zhao, Jiguang Wan

CoRR, 2024

TrickleKV: A High-Performance Key-Value Store on Disaggregated Storage With Low Network Traffic.

Ling Zhan, Kai Lu, Yiqin Xiong, Jiguang Wan, Zixuan Yang

IEEE Access, 2024

Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers.

Wei Tao, Shenglin He, Kai Lu, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang, Jing Xiao

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

DComp: Efficient Offload of LSM-tree Compaction with Data Processing Units.

Chen Ding, Jian Zhou, Jiguang Wan, Yiqin Xiong, Sicen Li, Shuning Chen, Hanyang Liu, Liu Tang, Ling Zhan, Kai Lu, Peng Xu

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning.

Liang Wang, Kai Lu, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Jing Xiao

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

TridentKV: A Read-Optimized LSM-Tree Based KV Store via Adaptive Indexing and Space-Efficient Partitioning.

Kai Lu, Nannan Zhao, Jiguang Wan, Changhong Fei, Wei Zhao, Tongliang Deng

IEEE Trans. Parallel Distributed Syst., 2022

RLRP: High-Efficient Data Placement with Reinforcement Learning for Modern Distributed Storage Systems.

Kai Lu, Nannan Zhao, Jiguang Wan, Changhong Fei, Wei Zhao, Tongliang Deng

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

ADSTS: Automatic Distributed Storage Tuning System Using Deep Reinforcement Learning.

Kai Lu, Guokuan Li, Jiguang Wan, Ruixiang Ma, Wei Zhao

Proceedings of the 51st International Conference on Parallel Processing, 2022

2020

RangeKV: An Efficient Key-Value Store Based on Hybrid DRAM-NVM-SSD Storage Structure.

Ling Zhan, Kai Lu, Zhilong Cheng, Jiguang Wan

IEEE Access, 2020

Disperse Access Considered Energy Inefficiency in Intel Optane DC Persistent Memory Servers.

Daping Li, Jiguang Wan, Jun Wang, Jian Zhou, Kai Lu, Peng Xu, Fei Wu, Changsheng Xie

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020