Zhaozhuo Xu | DeepAI

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Featured Co-authors

Ping Li
179 publications
Zhao Song
142 publications
Xia Hu
111 publications
Jue Wang
107 publications
Anshumali Shrivastava
73 publications
Anastasios Kyrillidis
66 publications
Jonathan Li
38 publications
Kaixiong Zhou
20 publications
Danyang Zhuo
19 publications
Beidi Chen
19 publications
Yuanyuan Yang
18 publications

∙ 05/26/2023

Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time

Large language models(LLMs) have sparked a new wave of exciting AI appli...

2 Zichang Liu, et al. ∙

∙ 05/17/2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt

Large Language Models (LLMs), armed with billions of parameters, exhibit...

9 Zhaozhuo Xu, et al. ∙

∙ 03/10/2023

A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph

Graph-based algorithms have demonstrated state-of-the-art performance in...

1 Anshumali Shrivastava, et al. ∙

∙ 12/21/2022

Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations

In this paper, we propose Adam-Hash: an adaptive and dynamic multi-resol...

0 Lianke Qin, et al. ∙

∙ 08/08/2022

Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory

Kernel density estimation (KDE) stands out as a challenging task in mach...

0 Jiehao Liang, et al. ∙

∙ 08/05/2022

Sublinear Time Algorithm for Online Weighted Bipartite Matching

Online bipartite matching is a fundamental problem in online algorithms....

0 Hang Hu, et al. ∙

∙ 07/19/2022

Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures

In this paper, we study the problem of speeding up a type of optimizatio...

0 Zhao Song, et al. ∙

∙ 06/22/2022

Proximity Graph Maintenance for Fast Online Nearest Neighbor Search

Approximate Nearest Neighbor (ANN) search is a fundamental technique for...

0 Zhaozhuo Xu, et al. ∙

∙ 04/07/2022

Speeding Up Sparsification using Inner Product Search Data Structures

We present a general framework that utilizes different efficient data st...

0 Zhao Song, et al. ∙

∙ 11/30/2021

Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures

Conditional gradient methods (CGM) are widely used in modern machine lea...

0 Anshumali Shrivastava, et al. ∙

∙ 11/12/2021

Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston

The accuracy and completeness of population estimation would significant...

0 Zhaozhuo Xu, et al. ∙

∙ 06/15/2021

PairConnect: A Compute-Efficient MLP Alternative to Attention

Transformer models have demonstrated superior performance in natural lan...

21 Zhaozhuo Xu, et al. ∙

∙ 05/18/2021

Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing

We present the first provable Least-Squares Value Iteration (LSVI) algor...

9 Anshumali Shrivastava, et al. ∙

∙ 02/26/2021

Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion

Traditional seismic processing workflows (SPW) are expensive, requiring ...

17 Zhaozhuo Xu, et al. ∙

∙ 07/02/2020

Climbing the WOL: Training for Cheaper Inference

Efficient inference for wide output layers (WOLs) is an essential yet ch...

0 Zichang Liu, et al. ∙

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