Xu, Zhaozhuo

33 publications

AAAI 2025 Compression-Aware Computing for Scalable and Sustainable AI Zhaozhuo Xu

UAI 2025 Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory Jiehao Liang, Zhao Song, Zhaozhuo Xu, Junze Yin, Danyang Zhuo

ICML 2025 Position: Iterative Online-Offline Joint Optimization Is Needed to Manage Complex LLM Copyright Risks Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang

ICML 2025 Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang

ICML 2025 Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava

ICLR 2025 Zeroth-Order Fine-Tuning of LLMs with Transferable Static 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

NeurIPS 2024 FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie

ICML 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

ICMLW 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu

ICML 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

NeurIPS 2024 KV Cache Is 1 Bit per Channel: Efficient Large Language Model Inference with Coupled Quantization Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava

ICML 2024 Knowledge Graphs Can Be Learned with Just Intersection Features Duy Le, Shaochen Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu

NeurIPS 2024 NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-Add-Free Attention Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava

NeurIPS 2024 SIRIUS : Contexual Sparisty with Correction for Efficient LLMs Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Xi Victoria Lin, Beidi Chen

NeurIPSW 2024 Sirius: Contextual Sparsity with Correction for Efficient LLM Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Xi Victoria Lin, Beidi Chen

ICML 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

ICML 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

NeurIPSW 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

NeurIPSW 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

ICMLW 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

ICMLW 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

AISTATS 2023 A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava

UAI 2023 Graph Self-Supervised Learning via Proximity Distribution Minimization Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava

NeurIPS 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava

NeurIPS 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

NeurIPS 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 Hu

NeurIPSW 2022 Adaptive Sparse Federated Learning in Large Output Spaces via Hashing Zhaozhuo Xu, Luyang Liu, Zheng Xu, Anshumali Shrivastava

ICML 2022 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks Zhuang Wang, Zhaozhuo Xu, Xinyu Wu, Anshumali Shrivastava, T. S. Eugene Ng

NeurIPS 2021 Breaking the Linear Iteration Cost Barrier for Some Well-Known Conditional Gradient Methods Using MaxIP Data-Structures Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava

NeurIPS 2021 Locality Sensitive Teaching Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava

ICLR 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 Re

NeurIPS 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

NeurIPS 2019 Möbius Transformation for Fast Inner Product Search on Graph Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li