Baotong Lu - RankMe

25 papers A* 1B 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DualSpec: Accelerating Deep Research Agents via Dual-Process Action Speculation. CoRR Shuzhang Zhong, Baotong Lu, Qi Chen, Chuanjie Liu, Fan Yang, Meng Li
2026	J	`jnl`	KEEP: A KV-Cache-Centric Memory Management System for Efficient Embodied Planning. CoRR Zebin Yang, Tong Xie, Baotong Lu, Shaoshan Liu, Bo Yu, Meng Li
2026	J	`jnl`	RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference. Proc. VLDB Endow. Yaoqi Chen, Jinkai Zhang, Baotong Lu, Qianxi Zhang, Chengruidong Zhang, Jing Liu, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Cheng Li, Yuqing Yang, Fan Yang, Mao Yang
2025	J	`jnl`	AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models. CoRR Zeyu Li, Chuanfu Xiao, Yang Wang, Xiang Liu, Zhenheng Tang, Baotong Lu, Mao Yang, Xinyu Chen, Xiaowen Chu
2025	J	`jnl`	Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study. CoRR Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma
2025	J	`jnl`	Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study. Proc. ACM Manag. Data Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma
2025	J	`jnl`	RetroInfer: A Vector-Storage Approach for Scalable Long-Context LLM Inference. CoRR Yaoqi Chen, Jinkai Zhang, Baotong Lu, Qianxi Zhang, Chengruidong Zhang, Jingjia Luo, Di Liu, Huiqiang Jiang, Qi Chen, Jing Liu, Bailu Ding, Xiao Yan, Jiawei Jiang, Chen Chen, Mingxing Zhang, Yuqing Yang, Fan Yang, Mao Yang
2025	B	`conf`	SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs. PPoPP Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yunzhe Li, Zhifeng Jiang, Yang Li, Xiaowen Chu, Huaicheng Li
2025	J	`jnl`	Scalable Distributed Vector Search via Accuracy Preserving Index Construction. CoRR Yuming Xu, Qianxi Zhang, Qi Chen, Baotong Lu, Menghao Li, Philip Adams, Mingqin Li, Zengzhong Li, Jing Liu, Cheng Li, Fan Yang
2025	J	`jnl`	Shard: A Scalable and Resize-optimized Hash Index on Disaggregated Memory. Proc. VLDB Endow. Hantian Zha, Teng Ma, Baotong Lu, Yuansen Wang, Dongbiao He, Yuanhui Luo, Dafang Zhang, Yunpeng Chai, Yuxing Chen, Anqun Pan
2025	J	`jnl`	Towards Efficient and Scalable Distributed Vector Search with RDMA. CoRR Xiangyu Zhi, Meng Chen, Xiao Yan, Baotong Lu, Hui Li, Qianxi Zhang, Qi Chen, James Cheng
2025	J	`jnl`	Towards Robustness: A Critique of Current Vector Database Assessments. CoRR Zikai Wang, Qianxi Zhang, Baotong Lu, Qi Chen, Cheng Tan
2024	J	`jnl`	DEX: Scalable Range Indexing on Disaggregated Memory [Extended Version]. CoRR Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
2024	J	`jnl`	DEX: Scalable Range Indexing on Disaggregated Memory. Proc. VLDB Endow. Baotong Lu, Kaisong Huang, Chieh-Jan Mike Liang, Tianzheng Wang, Eric Lo
2024	J	`jnl`	Missile: Fine-Grained, Hardware-Level GPU Resource Isolation for Multi-Tenant DNN Inference. CoRR Yongkang Zhang, Haoxuan Yu, Chenxia Han, Cheng Wang, Baotong Lu, Yang Li, Xiaowen Chu, Huaicheng Li
2024	J	`jnl`	RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval. CoRR Di Liu, Meng Chen, Baotong Lu, Huiqiang Jiang, Zhenhua Han, Qianxi Zhang, Qi Chen, Chengruidong Zhang, Bailu Ding, Kai Zhang, Chen Chen, Fan Yang, Yuqing Yang, Lili Qiu
2022	J	`jnl`	Are Updatable Learned Indexes Ready? CoRR Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang
2022	J	`jnl`	Are Updatable Learned Indexes Ready? Proc. VLDB Endow. Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang
2021	J	`jnl`	APEX: A High-Performance Learned Index on Persistent Memory. CoRR Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang
2021	J	`jnl`	APEX: A High-Performance Learned Index on Persistent Memory. Proc. VLDB Endow. Baotong Lu, Jialin Ding, Eric Lo, Umar Farooq Minhas, Tianzheng Wang
2021	J	`jnl`	Scaling Dynamic Hash Tables on Real Persistent Memory. SIGMOD Rec. Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo
2020	J	`jnl`	Dash: Scalable Hashing on Persistent Memory. CoRR Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo
2020	J	`jnl`	Dash: Scalable Hashing on Persistent Memory. Proc. VLDB Endow. Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo
2020	A*	`conf`	High Performance Depthwise and Pointwise Convolutions on Mobile Devices. AAAI Pengfei Zhang, Eric Lo, Baotong Lu
2020	J	`jnl`	High Performance Depthwise and Pointwise Convolutions on Mobile Devices. CoRR Pengfei Zhang, Eric Lo, Baotong Lu