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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
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