default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDZhaozhuo Xu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c32]Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao:
Token-wise Influential Training Data Retrieval for Large Language Models. ACL (1) 2024: 841-860- [c31]Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. EMNLP (Industry Track) 2024: 279-289 - [c30]Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He:
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. EMNLP (Industry Track) 2024: 452-462 - [c29]Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu:
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. EMNLP (Findings) 2024: 3929-3940 - [c28]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:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) 2024: 4623-4648 - [c27]Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu:
In Defense of Structural Sparse Adapters for Concurrent LLM Serving. EMNLP (Findings) 2024: 4948-4953 - [c26]Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang:
Do LLMs Know to Respect Copyright Notice? EMNLP 2024: 20604-20619 - [c25]Duy Le, Shaochen Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu:
Knowledge Graphs Can be Learned with Just Intersection Features. ICML 2024 - [c24]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. ICML 2024 - [c23]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML 2024 - [c22]Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava:
Soft Prompt Recovers Compressed LLMs, Transferably. ICML 2024 - [c21]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:
GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024 - [i33]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 abs/2402.02750 (2024) - [i32]Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He:
LLM Multi-Agent Systems: Challenges and Open Problems. CoRR abs/2402.03578 (2024) - [i31]Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava:
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. CoRR abs/2403.01273 (2024) - [i30]Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava:
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. CoRR abs/2405.03917 (2024) - [i29]Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao:
Token-wise Influential Training Data Retrieval for Large Language Models. CoRR abs/2405.11724 (2024) - [i28]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 abs/2406.02913 (2024) - [i27]Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He:
TorchOpera: A Compound AI System for LLM Safety. CoRR abs/2406.10847 (2024) - [i26]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 abs/2407.01527 (2024) - [i25]Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He:
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. CoRR abs/2408.00008 (2024) - [i24]Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He:
PolyRouter: A Multi-LLM Querying System. CoRR abs/2408.12320 (2024) - [i23]Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Victoria Lin, Beidi Chen:
Sirius: Contextual Sparsity with Correction for Efficient LLMs. CoRR abs/2409.03856 (2024) - [i22]Weijie Zhao, Huajie Shao, Zhaozhuo Xu, Suzhen Duan, Denghui Zhang:
Measuring Copyright Risks of Large Language Model via Partial Information Probing. CoRR abs/2409.13831 (2024) - [i21]Tianyi Zhang, Junda Su, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava:
SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching. CoRR abs/2410.06364 (2024) - [i20]Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu:
Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. CoRR abs/2410.15616 (2024) - [i19]Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang:
Do LLMs Know to Respect Copyright Notice? CoRR abs/2411.01136 (2024) - 2023
- [j10]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): 160 (2023) - [c20]Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava:
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. AISTATS 2023: 788-836 - [c19]Zhuang Wang, Xinyu Crystal Wu, Zhaozhuo Xu, T. S. Eugene Ng:
Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training. MLSys 2023 - [c18]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 - [c17]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 - [c16]Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava:
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning. NeurIPS 2023 - [c15]Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava:
Graph Self-supervised Learning via Proximity Distribution Minimization. UAI 2023: 2498-2508 - [i18]Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu:
A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph. CoRR abs/2303.06210 (2023) - [i17]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 abs/2305.11186 (2023) - [i16]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR abs/2305.15265 (2023) - [i15]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 abs/2305.17118 (2023) - [i14]Zhuang Wang, Zhaozhuo Xu, Anshumali Shrivastava, T. S. Eugene Ng:
Zen: Near-Optimal Sparse Tensor Synchronization for Distributed DNN Training. CoRR abs/2309.13254 (2023) - [i13]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 abs/2312.15359 (2023) - 2022
- [j9]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: 1-5 (2022) - [j8]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: 1-5 (2022) - [j7]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: 1-15 (2022) - [c14]Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. IEEE Big Data 2022: 115-120 - [c13]Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava:
Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. EMNLP (Findings) 2022: 4937-4947 - [c12]Zhuang Wang, Zhaozhuo Xu, Xinyu Crystal Wu, Anshumali Shrivastava, T. S. Eugene Ng:
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks. ICML 2022: 23274-23291 - [c11]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 - [i12]Zhao Song, Zhaozhuo Xu, Lichen Zhang:
Speeding Up Sparsification using Inner Product Search Data Structures. CoRR abs/2204.03209 (2022) - [i11]Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li:
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR abs/2206.10839 (2022) - [i10]Zhao Song, Zhaozhuo Xu, Yuanyuan Yang, Lichen Zhang:
Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures. CoRR abs/2207.09002 (2022) - [i9]Hang Hu, Zhao Song, Runzhou Tao, Zhaozhuo Xu, Danyang Zhuo:
Sublinear Time Algorithm for Online Weighted Bipartite Matching. CoRR abs/2208.03367 (2022) - [i8]Jiehao Liang, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. CoRR abs/2208.03915 (2022) - [i7]Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. CoRR abs/2212.11408 (2022) - 2021
- [c10]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 - [c9]Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li:
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD 2021: 1552-1560 - [c8]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: 5576-5589 - [c7]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: 8740-8752 - [c6]Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava:
Locality Sensitive Teaching. NeurIPS 2021: 18049-18062 - [i6]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 abs/2102.13631 (2021) - [i5]Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu:
Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing. CoRR abs/2105.08285 (2021) - [i4]Zhaozhuo Xu, Minghao Yan, Junyan Zhang, Anshumali Shrivastava:
PairConnect: A Compute-Efficient MLP Alternative to Attention. CoRR abs/2106.08235 (2021) - [i3]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 abs/2111.06562 (2021) - [i2]Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu:
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. CoRR abs/2111.15139 (2021) - 2020
- [c5]Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
Fast Item Ranking under Neural Network based Measures. WSDM 2020: 591-599 - [i1]Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava:
Climbing the WOL: Training for Cheaper Inference. CoRR abs/2007.01230 (2020)
2010 – 2019
- 2019
- [j6]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: 101160-101170 (2019) - [j5]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: 129136-129149 (2019) - [j4]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): 5991-6002 (2019) - [c4]Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li:
On Efficient Retrieval of Top Similarity Vectors. EMNLP/IJCNLP (1) 2019: 5235-5245 - [c3]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: 9474-9477 - [c2]Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li:
Möbius Transformation for Fast Inner Product Search on Graph. NeurIPS 2019: 8216-8227 - 2018
- [j3]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: 3054295:1-3054295:11 (2018) - 2017
- [j2]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): 1312 (2017) - [c1]Fangling Pu, Zhaozhuo Xu, Xin Xu:
Unified management and control of heterogeneous water quality measuring devices via edge computing nodes. IEEE SENSORS 2017: 1-3 - 2016
- [j1]Zhaozhuo Xu, Fangling Pu, Xin Fang, Jing Fu:
Raspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring. J. Sensors 2016: 4178079:1-4178079:11 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-12 21:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
