Zhaozhuo Xu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 57

Top Topics

Locality Sensitive

Bipartite Matching

Nearest Neighbor

Top Venues

Publications

Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. CoRR (2024)
Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
Token-wise Influential Training Data Retrieval for Large Language Models. CoRR (2024)
Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR (2024)
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
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. CoRR (2024)
Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. CoRR (2024)
Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. CoRR (2024)
Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He
LLM Multi-Agent Systems: Challenges and Open Problems. CoRR (2024)
Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He
TorchOpera: A Compound AI System for LLM Safety. CoRR (2024)
Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
Token-wise Influential Training Data Retrieval for Large Language Models. ACL (1) (2024)
Zhuang Wang, Xinyu Crystal Wu, Zhaozhuo Xu, T. S. Eugene Ng
Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training. MLSys (2023)
Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. AISTATS (2023)
Rui Tang, Fangling Pu, Rui Yang, Zhaozhuo Xu, Xin Xu
Multi-Domain Fusion Graph Network for Semi-Supervised PolSAR Image Classification. Remote. Sens. 15 (1) (2023)
Zhuang Wang, Zhaozhuo Xu, Anshumali Shrivastava, T. S. Eugene Ng
Zen: Near-Optimal Sparse Tensor Synchronization for Distributed DNN Training. CoRR (2023)
Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning. NeurIPS (2023)
Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR (2023)
Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. CoRR (2023)
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
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS (2023)
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR (2023)
Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS (2023)
Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph. CoRR (2023)
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR (2023)
Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava
Graph Self-supervised Learning via Proximity Distribution Minimization. UAI (2023)
Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li, Beidi Chen, Anshumali Shrivastava
HALOS: Hashing Large Output Space for Cheap Inference. MLSys (2022)
Jiehao Liang, Zhao Song, Zhaozhuo Xu, Danyang Zhuo
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. CoRR (2022)
Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. Big Data (2022)
Zhuang Wang, Zhaozhuo Xu, Xinyu Crystal Wu, Anshumali Shrivastava, T. S. Eugene Ng
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks. ICML (2022)
Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR (2022)
Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava
Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. EMNLP (Findings) (2022)
Rui Yang, Xin Xu, Rong Gui, Zhaozhuo Xu, Fangling Pu
Composite Sequential Network With POA Attention for PolSAR Image Analysis. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Zhao Song, Zhaozhuo Xu, Lichen Zhang
Speeding Up Sparsification using Inner Product Search Data Structures. CoRR (2022)
Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. CoRR (2022)
Rui Yang, Fangling Pu, Zhaozhuo Xu, Chujiang Ding, Xin Xu
DA2Net: Distraction-Attention-Driven Adversarial Network for Robust Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Hang Hu, Zhao Song, Runzhou Tao, Zhaozhuo Xu, Danyang Zhuo
Sublinear Time Algorithm for Online Weighted Bipartite Matching. CoRR (2022)
Zhao Song, Zhaozhuo Xu, Yuanyuan Yang, Lichen Zhang
Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures. CoRR (2022)
Rong Gui, Xin Xu, Rui Yang, Zhaozhuo Xu, Lei Wang, Fangling Pu
A General Feature Paradigm for Unsupervised Cross-Domain PolSAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD (2021)
Zhaozhuo Xu, Alan Baonan Ji, Andrew Woods, Beidi Chen, Anshumali Shrivastava
Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston. CoRR (2021)
Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
Locality Sensitive Teaching. NeurIPS (2021)
Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing. CoRR (2021)
Aditya Desai, Zhaozhuo Xu, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler. NeurIPS (2021)
Zhaozhuo Xu, Minghao Yan, Junyan Zhang, Anshumali Shrivastava
PairConnect: A Compute-Efficient MLP Alternative to Attention. CoRR (2021)
Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. CoRR (2021)
Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. ICLR (2021)
Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. NeurIPS (2021)
Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion. CoRR (2021)
Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
Climbing the WOL: Training for Cheaper Inference. CoRR (2020)
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
Fast Item Ranking under Neural Network based Measures. WSDM (2020)
Lei Wang, Xin Xu, Yue Yu, Rui Yang, Rong Gui, Zhaozhuo Xu, Fangling Pu
SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks. IEEE Access 7 (2019)
Rui Yang, Xin Xu, Zhaozhuo Xu, Chujiang Ding, Fangling Pu
A Class Activation Mapping Guided Adversarial Training Method for Land-Use Classification and Object Detection. IGARSS (2019)
Xiaoyue Zhao, Fangling Pu, Zhihang Wang, Hongyu Chen, Zhaozhuo Xu
Detection, Tracking, and Geolocation of Moving Vehicle From UAV Using Monocular Camera. IEEE Access 7 (2019)
Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
On Efficient Retrieval of Top Similarity Vectors. EMNLP/IJCNLP (1) (2019)
Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li
Möbius Transformation for Fast Inner Product Search on Graph. NeurIPS (2019)
Rui Yang, Xin Xu, Zhaozhuo Xu, Hao Dong, Rong Gui, Fangling Pu
Dynamic Fractal Texture Analysis for PolSAR Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 57 (8) (2019)
Fangling Pu, Zhaozhuo Xu, Hongyu Chen, Xin Xu, Nengcheng Chen
A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series. J. Sensors 2018 (2018)
Fangling Pu, Zhaozhuo Xu, Xin Xu
Unified management and control of heterogeneous water quality measuring devices via edge computing nodes. IEEE SENSORS (2017)
Zhaozhuo Xu, Xin Xu, Lei Wang, Rui Yang, Fangling Pu
Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery. Remote. Sens. 9 (12) (2017)
Zhaozhuo Xu, Fangling Pu, Xin Fang, Jing Fu
Raspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring. J. Sensors 2016 (2016)