Zhaozhuo Xu

According to our database, Zhaozhuo Xu authored at least 67 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery.

Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu

CoRR, 2024

SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching.

Tianyi Zhang, Junda Su, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava

CoRR, 2024

Measuring Copyright Risks of Large Language Model via Partial Information Probing.

Weijie Zhao, Huajie Shao, Zhaozhuo Xu, Suzhen Duan, Denghui Zhang

CoRR, 2024

Sirius: Contextual Sparsity with Correction for Efficient LLMs.

Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Victoria Lin, Beidi Chen

CoRR, 2024

PolyRouter: A Multi-LLM Querying System.

Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He

CoRR, 2024

TorchOpera: A Compound AI System for LLM Safety.

Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He

CoRR, 2024

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity.

Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu

CoRR, 2024

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization.

Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava

CoRR, 2024

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

Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava

CoRR, 2024

LLM Multi-Agent Systems: Challenges and Open Problems.

Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He

CoRR, 2024

GNNs Also Deserve Editing, and They Need It More Than Once.

Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Soft Prompt Recovers Compressed LLMs, Transferably.

Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TVE: Learning Meta-attribution for Transferable Vision Explainer.

Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Knowledge Graphs Can be Learned with Just Intersection Features.

Duy Le, Shaochen Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches.

Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency.

Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Do LLMs Know to Respect Copyright Notice?

Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

In Defense of Structural Sparse Adapters for Concurrent LLM Serving.

Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference.

Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware.

Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Token-wise Influential Training Data Retrieval for Large Language Models.

Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

Rui Tang, Fangling Pu, Rui Yang, Zhaozhuo Xu, Xin Xu

Remote. Sens., January, 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu

CoRR, 2023

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

Zhuang Wang, Zhaozhuo Xu, Anshumali Shrivastava, T. S. Eugene Ng

CoRR, 2023

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

Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu

CoRR, 2023

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

Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava

CoRR, 2023

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

Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu

CoRR, 2023

Graph Self-supervised Learning via Proximity Distribution Minimization.

Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava

Proceedings of the Uncertainty in Artificial Intelligence, 2023

One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning.

Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training.

Zhuang Wang, Xinyu Crystal Wu, Zhaozhuo Xu, T. S. Eugene Ng

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

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

Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Composite Sequential Network With POA Attention for PolSAR Image Analysis.

Rui Yang, Xin Xu, Rong Gui, Zhaozhuo Xu, Fangling Pu

IEEE Trans. Geosci. Remote. Sens., 2022

DA2Net: Distraction-Attention-Driven Adversarial Network for Robust Remote Sensing Image Scene Classification.

Rui Yang, Fangling Pu, Zhaozhuo Xu, Chujiang Ding, Xin Xu

IEEE Geosci. Remote. Sens. Lett., 2022

A General Feature Paradigm for Unsupervised Cross-Domain PolSAR Image Classification.

Rong Gui, Xin Xu, Rui Yang, Zhaozhuo Xu, Lei Wang, Fangling Pu

IEEE Geosci. Remote. Sens. Lett., 2022

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

Jiehao Liang, Zhao Song, Zhaozhuo Xu, Danyang Zhuo

CoRR, 2022

Sublinear Time Algorithm for Online Weighted Bipartite Matching.

Hang Hu, Zhao Song, Runzhou Tao, Zhaozhuo Xu, Danyang Zhuo

CoRR, 2022

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

Zhao Song, Zhaozhuo Xu, Yuanyuan Yang, Lichen Zhang

CoRR, 2022

Proximity Graph Maintenance for Fast Online Nearest Neighbor Search.

Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li

CoRR, 2022

Speeding Up Sparsification using Inner Product Search Data Structures.

Zhao Song, Zhaozhuo Xu, Lichen Zhang

CoRR, 2022

HALOS: Hashing Large Output Space for Cheap Inference.

Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li, Beidi Chen, Anshumali Shrivastava

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks.

Zhuang Wang, Zhaozhuo Xu, Xinyu Crystal Wu, Anshumali Shrivastava, T. S. Eugene Ng

Proceedings of the International Conference on Machine Learning, 2022

Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification.

Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations.

Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

Zhaozhuo Xu, Alan Baonan Ji, Andrew Woods, Beidi Chen, Anshumali Shrivastava

CoRR, 2021

PairConnect: A Compute-Efficient MLP Alternative to Attention.

Zhaozhuo Xu, Minghao Yan, Junyan Zhang, Anshumali Shrivastava

CoRR, 2021

Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing.

Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu

CoRR, 2021

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

Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava

CoRR, 2021

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

Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Locality Sensitive Teaching.

Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Aditya Desai, Zhaozhuo Xu, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval.

Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training.

Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Climbing the WOL: Training for Cheaper Inference.

Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava

CoRR, 2020

Fast Item Ranking under Neural Network based Measures.

Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Dynamic Fractal Texture Analysis for PolSAR Land Cover Classification.

Rui Yang, Xin Xu, Zhaozhuo Xu, Hao Dong, Rong Gui, Fangling Pu

IEEE Trans. Geosci. Remote. Sens., 2019

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

Xiaoyue Zhao, Fangling Pu, Zhihang Wang, Hongyu Chen, Zhaozhuo Xu

IEEE Access, 2019

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

Lei Wang, Xin Xu, Yue Yu, Rui Yang, Rong Gui, Zhaozhuo Xu, Fangling Pu

IEEE Access, 2019

Möbius Transformation for Fast Inner Product Search on Graph.

Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Class Activation Mapping Guided Adversarial Training Method for Land-Use Classification and Object Detection.

Rui Yang, Xin Xu, Zhaozhuo Xu, Chujiang Ding, Fangling Pu

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

On Efficient Retrieval of Top Similarity Vectors.

Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

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

Fangling Pu, Zhaozhuo Xu, Hongyu Chen, Xin Xu, Nengcheng Chen

J. Sensors, 2018

2017

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

Zhaozhuo Xu, Xin Xu, Lei Wang, Rui Yang, Fangling Pu

Remote. Sens., 2017

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

Fangling Pu, Zhaozhuo Xu, Xin Xu

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

2016

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

Zhaozhuo Xu, Fangling Pu, Xin Fang, Jing Fu

J. Sensors, 2016