Zhaozhuo Xu

发表

Unified management and control of heterogeneous water quality measuring devices via edge computing nodes

Xin Xu, Fangling Pu, Zhaozhuo Xu, 2017, 2017 IEEE SENSORS.

Shape Recovery on Low-Quality or Missing Images

Zhaozhuo Xu, 2019 .

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

Zhaozhuo Xu, Zhao Song, Yuanyuan Yang, 2022, ArXiv.

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

Danyang Zhuo, Zhaozhuo Xu, Zhao Song, 2022, ArXiv.

SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks

Yue Yu, Xin Xu, Fangling Pu, 2019, IEEE Access.

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks

Anshumali Shrivastava, T. Ng, X. Wu, 2022, ICML.

MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training

Tri Dao, Anshumali Shrivastava, Beidi Chen, 2021, ICLR.

Speeding Up Sparsification using Inner Product Search Data Structures

Zhaozhuo Xu, Zhao Song, Licheng Zhang, 2022, ArXiv.

Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery

Xin Xu, Rui Yang, Fangling Pu, 2017, Remote. Sens..

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

Anshumali Shrivastava, Zhaozhuo Xu, Yuxin Tang, 2023, ArXiv.

Locality Sensitive Teaching

Anshumali Shrivastava, Weiyang Liu, Chaojian Li, 2021, NeurIPS.

Detection, Tracking, and Geolocation of Moving Vehicle From UAV Using Monocular Camera

Fangling Pu, Zhaozhuo Xu, Zhihang Wang, 2019, IEEE Access.

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

Anshumali Shrivastava, Weitao Wang, Zhaozhuo Xu, 2023, ArXiv.

Composite Sequential Network With POA Attention for PolSAR Image Analysis

Fangling Pu, Zhaozhuo Xu, Rong Gui, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Dynamic Fractal Texture Analysis for PolSAR Land Cover Classification

Rui Yang, Hao Dong, Xin Xu, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

D. Zha, Guanchu Wang, Zhaozhuo Xu, 2023, NeurIPS.

Multi-Domain Fusion Graph Network for Semi-Supervised PolSAR Image Classification

Fangling Pu, Xin Xu, Zhaozhuo Xu, 2022, Remote. Sens..

Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler

Anshumali Shrivastava, Zhaozhuo Xu, Menal Gupta, 2021, NeurIPS.

Raspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring

Jing Fu, Xin Fang, Fangling Pu, 2016, J. Sensors.

PairConnect: A Compute-Efficient MLP Alternative to Attention pdf

Anshumali Shrivastava, Zhaozhuo Xu, Minghao Yan, 2021, ArXiv.

Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing pdf

Anshumali Shrivastava, Zhaozhuo Xu, Zhao Song, 2021, ArXiv.

A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space

Anshumali Shrivastava, Zhaozhuo Xu, Zhao Song, 2023, AISTATS.

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

Anshumali Shrivastava, Zhaozhuo Xu, Zhao Song, 2021, NeurIPS.

A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series

Xin Xu, Nengcheng Chen, Hongyu Chen, 2018, J. Sensors.

Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations

Danyang Zhuo, Zhaozhuo Xu, Zhao Song, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Dangerous human event understanding using human-object interaction model

Yuan Tian, Xinjue Hu, Fangling Pu, 2015, 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Climbing the WOL: Training for Cheaper Inference pdf

Anshumali Shrivastava, Beidi Chen, Jonathan Li, 2020, ArXiv.

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

Aditya Desai, Anshumali Shrivastava, Zhaozhuo Xu, 2021, ArXiv.

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

Anshumali Shrivastava, Weitao Wang, Zhaozhuo Xu, 2023, NeurIPS.

Graph Self-supervised Learning via Proximity Divergence Minimization

Anshumali Shrivastava, Zhaozhuo Xu, Zhenwei Dai, 2022 .

Zen: Near-Optimal Sparse Tensor Synchronization for Distributed DNN Training

Anshumali Shrivastava, Zhaozhuo Xu, T. Ng, 2023, ArXiv.

NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention

Zhaozhuo Xu, Tianyi Zhang, Jonah Yi, 2024, ArXiv.

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

Anshumali Shrivastava, Zhaozhuo Xu, Beidi Chen, 2023, ArXiv.