Raspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring. - Zhaozhuo Xu; Fangling Pu; Xin Fang; Jing Fu (J. Sensors, 2016)

Unified management and control of heterogeneous water quality measuring devices via edge computing nodes. - Fangling Pu; Zhaozhuo Xu; Xin Xu 005 (IEEE SENSORS, 2017)

Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery. - Zhaozhuo Xu; Xin Xu 005; Lei Wang 068; Rui Yang 012; Fangling Pu (Remote. Sens., 2017)

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 005; Nengcheng Chen (J. Sensors, 2018)

On Efficient Retrieval of Top Similarity Vectors. - Shulong Tan; Zhixin Zhou; Zhaozhuo Xu; Ping Li 001 (EMNLP/IJCNLP (1), 2019)

A Class Activation Mapping Guided Adversarial Training Method for Land-Use Classification and Object Detection. - Rui Yang 012; Xin Xu 005; Zhaozhuo Xu; Chujiang Ding; Fangling Pu (IGARSS, 2019)

Möbius Transformation for Fast Inner Product Search on Graph. - Zhixin Zhou; Shulong Tan; Zhaozhuo Xu; Ping Li 001 (NeurIPS, 2019)

SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks. - Lei Wang 068; Xin Xu 005; Yue Yu; Rui Yang 012; Rong Gui; Zhaozhuo Xu; Fangling Pu (IEEE Access, 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)

Dynamic Fractal Texture Analysis for PolSAR Land Cover Classification. - Rui Yang 012; Xin Xu 005; Zhaozhuo Xu; Hao Dong 006; Rong Gui; Fangling Pu (IEEE Trans. Geosci. Remote. Sens., 2019)

Fast Item Ranking under Neural Network based Measures. - Shulong Tan; Zhixin Zhou; Zhaozhuo Xu; Ping Li 001 (WSDM, 2020)

Climbing the WOL: Training for Cheaper Inference. - Zichang Liu; Zhaozhuo Xu; Alan Baonan Ji; Jonathan Li 002; Beidi Chen; Anshumali Shrivastava (CoRR, 2020)

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 002; Anshumali Shrivastava; Christopher Ré (ICLR, 2021)

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. - Shulong Tan; Zhaozhuo Xu; Weijie Zhao 001; Hongliang Fei; Zhixin Zhou; Ping Li 001 (KDD, 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, 2021)

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

Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. - Zhaozhuo Xu; Zhao Song 002; Anshumali Shrivastava (NeurIPS, 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)

Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing. - Anshumali Shrivastava; Zhao Song 002; Zhaozhuo Xu (CoRR, 2021)

PairConnect: A Compute-Efficient MLP Alternative to Attention. - Zhaozhuo Xu; Minghao Yan; Junyan Zhang; Anshumali Shrivastava (CoRR, 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)

Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. - Lianke Qin; Aravind Reddy; Zhao Song 002; Zhaozhuo Xu; Danyang Zhuo (IEEE Big Data, 2022)

Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. - Tianyi Zhang 011; Zhaozhuo Xu; Tharun Medini; Anshumali Shrivastava (EMNLP (Findings), 2022)

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

HALOS: Hashing Large Output Space for Cheap Inference. - Zichang Liu; Zhaozhuo Xu; Alan Baonan Ji; Junyan Zhang; Jonathan Li 002; Beidi Chen; Anshumali Shrivastava (MLSys, 2022)

Speeding Up Sparsification using Inner Product Search Data Structures. - Zhao Song 002; Zhaozhuo Xu; Lichen Zhang 003 (CoRR, 2022)

Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. - Zhaozhuo Xu; Weijie Zhao 001; Shulong Tan; Zhixin Zhou; Ping Li 001 (CoRR, 2022)

Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures. - Zhao Song 002; Zhaozhuo Xu; Yuanyuan Yang 005; Lichen Zhang 003 (CoRR, 2022)

Sublinear Time Algorithm for Online Weighted Bipartite Matching. - Hang Hu 014; Zhao Song 002; Runzhou Tao; Zhaozhuo Xu; Danyang Zhuo (CoRR, 2022)

Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. - Jiehao Liang; Zhao Song 002; Zhaozhuo Xu; Danyang Zhuo (CoRR, 2022)

A General Feature Paradigm for Unsupervised Cross-Domain PolSAR Image Classification. - Rong Gui; Xin Xu 005; Rui Yang 012; Zhaozhuo Xu; Lei Wang 068; Fangling Pu (IEEE Geosci. Remote. Sens. Lett., 2022)

DA2Net: Distraction-Attention-Driven Adversarial Network for Robust Remote Sensing Image Scene Classification. - Rui Yang 012; Fangling Pu; Zhaozhuo Xu; Chujiang Ding; Xin Xu 005 (IEEE Geosci. Remote. Sens. Lett., 2022)

Composite Sequential Network With POA Attention for PolSAR Image Analysis. - Rui Yang 012; Xin Xu 005; Rong Gui; Zhaozhuo Xu; Fangling Pu (IEEE Trans. Geosci. Remote. Sens., 2022)

A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. - Zhaozhuo Xu; Zhao Song 002; Anshumali Shrivastava (AISTATS, 2023)

Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training. - Zhuang Wang; Xinyu Crystal Wu; Zhaozhuo Xu; T. S. Eugene Ng (MLSys, 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 001; Guanchu Wang; Shaochen Zhong; Zhaozhuo Xu; Daochen Zha; Ruixiang (Ryan) Tang; Zhimeng Stephen Jiang; Kaixiong Zhou; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

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

Graph Self-supervised Learning via Proximity Distribution Minimization. - Tianyi Zhang 011; Zhenwei Dai; Zhaozhuo Xu; Anshumali Shrivastava (UAI, 2023)

A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph. - Anshumali Shrivastava; Zhao Song 002; Zhaozhuo Xu (CoRR, 2023)

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. - Zhaozhuo Xu; Zirui Liu 001; Beidi Chen; Yuxin Tang; Jue Wang; Kaixiong Zhou; Xia Hu 001; Anshumali Shrivastava (CoRR, 2023)

Zen: Near-Optimal Sparse Tensor Synchronization for Distributed DNN Training. - Zhuang Wang; Zhaozhuo Xu; Anshumali Shrivastava; T. S. Eugene Ng (CoRR, 2023)

LETA: Learning Transferable Attribution for Generic Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (CoRR, 2023)

Multi-Domain Fusion Graph Network for Semi-Supervised PolSAR Image Classification. - Rui Tang; Fangling Pu; Rui Yang 012; Zhaozhuo Xu; Xin Xu 005 (Remote. Sens., 2023)

Token-wise Influential Training Data Retrieval for Large Language Models. - Huawei Lin 001; Jikai Long; Zhaozhuo Xu; Weijie Zhao 001 (ACL (1), 2024)

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. - Chuang Zhou 002; Junnan Dong; Xiao Huang 001; Zirui Liu 001; Kaixiong Zhou; Zhaozhuo Xu (EMNLP (Findings), 2024)

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. - Dimitris Stripelis; Zhaozhuo Xu; Zijian Hu 001; Alay Dilipbhai Shah; Han Jin; Yuhang Yao; Jipeng Zhang; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

In Defense of Structural Sparse Adapters for Concurrent LLM Serving. - Junda Su; Zirui Liu 001; Zeju Qiu; Weiyang Liu; Zhaozhuo Xu (EMNLP (Findings), 2024)

Do LLMs Know to Respect Copyright Notice? - Jialiang Xu; Shenglan Li; Zhaozhuo Xu; Denghui Zhang (EMNLP, 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 001; Dimitris Stripelis; Yide Ran; Zhaozhuo Xu; Salman Avestimehr; Chaoyang He 001 (EMNLP (Industry Track), 2024)

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. - Jiayi Yuan 001; Hongyi Liu; Shaochen (Henry) Zhong; Yu-Neng Chuang; Songchen Li; Guanchu Wang; Duy Le 001; Hongye Jin; Vipin Chaudhary; Zhaozhuo Xu; Zirui Liu 001; Xia Ben Hu (EMNLP (Findings), 2024)

Knowledge Graphs Can be Learned with Just Intersection Features. - Duy Le 001; Shaochen (Henry) Zhong; Zirui Liu 001; Shuai Xu; Vipin Chaudhary; Kaixiong Zhou; Zhaozhuo Xu (ICML, 2024)

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. - Zirui Liu 001; Jiayi Yuan 001; Hongye Jin; Shaochen (Henry) Zhong; Zhaozhuo Xu; Vladimir Braverman; Beidi Chen; Xia Hu 001 (ICML, 2024)

TVE: Learning Meta-attribution for Transferable Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (ICML, 2024)

Soft Prompt Recovers Compressed LLMs, Transferably. - Zhaozhuo Xu; Zirui Liu 001; Beidi Chen; Shaochen (Henry) Zhong; Yuxin Tang; Jue Wang; Kaixiong Zhou; Xia Hu 001; Anshumali Shrivastava (ICML, 2024)

GNNs Also Deserve Editing, and They Need It More Than Once. - Shaochen (Henry) Zhong; Duy Le 001; Zirui Liu 001; Zhimeng Jiang; Andrew Ye; Jiamu Zhang; Jiayi Yuan 001; Kaixiong Zhou; Zhaozhuo Xu; Jing Ma; Shuai Xu; Vipin Chaudhary; et al. (ICML, 2024)

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. - Tianyi Zhang 011; Jonah Yi; Zhaozhuo Xu; Anshumali Shrivastava (NeurIPS, 2024)

NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. - Tianyi Zhang 011; Jonah Yi; Bowen Yao; Zhaozhuo Xu; Anshumali Shrivastava (NeurIPS, 2024)

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. - Yangyang Yu; Zhiyuan Yao 001; Haohang Li; Zhiyang Deng; Yuechen Jiang; Yupeng Cao; Zhi Chen; Jordan W. Suchow; Zhenyu Cui; Rong Liu; Zhaozhuo Xu; Denghui Zhang; et al. (NeurIPS, 2024)

SIRIUS : Contexual Sparisty with Correction for Efficient LLMs. - Yang Zhou; Zhuoming Chen; Zhaozhuo Xu; Victoria Lin 002; Beidi Chen (NeurIPS, 2024)

LLM Multi-Agent Systems: Challenges and Open Problems. - Shanshan Han; Qifan Zhang 002; Yuhang Yao; Weizhao Jin; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (CoRR, 2024)

TorchOpera: A Compound AI System for LLM Safety. - Shanshan Han; Yuhang Yao; Zijian Hu 001; Dimitris Stripelis; Zhaozhuo Xu; Chaoyang He 001 (CoRR, 2024)

PolyRouter: A Multi-LLM Querying System. - Dimitris Stripelis; Zijian Hu 001; Jipeng Zhang; Zhaozhuo Xu; Alay Dilipbhai Shah; Han Jin; Yuhang Yao; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Sirius: Contextual Sparsity with Correction for Efficient LLMs. - Yang Zhou; Zhuoming Chen; Zhaozhuo Xu; Victoria Lin 002; Beidi Chen (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)

SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching. - Tianyi Zhang 011; Junda Su; Oscar Wu; Zhaozhuo Xu; Anshumali Shrivastava (CoRR, 2024)

Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. - Yifan Wu; Yuntao Yang; Zirui Liu 001; Zhao Li; Khushbu Pahwa; Rongbin Li; Wenjin Zheng; Xia Hu 001; Zhaozhuo Xu (CoRR, 2024)

Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. - Yide Ran; Zhaozhuo Xu; Yuhang Yao; Zijian Hu 001; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Jipeng Zhang; Dimitris Stripelis; Tong Zhang 001; Salman Avestimehr; Chaoyang He 001 (CoRR, 2024)

Fox-1 Technical Report. - Zijian Hu 001; Jipeng Zhang; Rui Pan 002; Zhaozhuo Xu; Shanshan Han; Han Jin; Alay Dilipbhai Shah; Dimitris Stripelis; Yuhang Yao; Salman Avestimehr; Chaoyang He 001; Tong Zhang 001 (CoRR, 2024)

Compression-Aware Computing for Scalable and Sustainable AI. - Zhaozhuo Xu (AAAI, 2025)

Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. - Chuang Zhou 002; Zhu Wang; Shengyuan Chen; Jiahe Du; Qiyuan Zheng; Zhaozhuo Xu; Xiao Huang 001 (ACL (1), 2025)

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (ICLR, 2025)

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. - Yanzhou Pan; Huawei Lin 001; Yide Ran; Jiamin Chen; Xiaodong Yu; Weijie Zhao 001; Denghui Zhang; Zhaozhuo Xu (NAACL (Long Papers), 2025)

ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization. - Zhuang Wang; Zhaozhuo Xu; Jingyi Xi; Yuke Wang; Anshumali Shrivastava; T. S. Eugene Ng (OSDI, 2025)

Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. - Jiehao Liang; Zhao Song 002; Zhaozhuo Xu; Junze Yin; Danyang Zhuo (UAI, 2025)

Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models. - Yuheng Wu; Wentao Guo; Zirui Liu 001; Heng Ji; Zhaozhuo Xu; Denghui Zhang (CoRR, 2025)

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation. - Huawei Lin 001; Tong Geng; Zhaozhuo Xu; Weijie Zhao 001 (CoRR, 2025)

DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. - Yuheng Wu; Jianwen Xie; Denghui Zhang; Zhaozhuo Xu (CoRR, 2025)

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. - Yide Ran; Wentao Guo; Jingwei Sun 002; Yanzhou Pan; Xiaodong Yu; Hao Wang; Jianwen Xie; Yiran Chen 001; Denghui Zhang; Zhaozhuo Xu (CoRR, 2025)

OAT-Rephrase: Optimization-Aware Training Data Rephrasing for Zeroth-Order LLM Fine-Tuning. - Jikai Long; Zijian Hu; Xiaodong Yu; Jianwen Xie; Zhaozhuo Xu (CoRR, 2025)