Zhaozhuo Xu - RankMe

109 papers A* 28A 4B 1C 1Journal 59Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026	J	`jnl`	Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks. CoRR Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi Ma, Yun Huang, Chaowei Xiao, Bowen Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang
2026	J	`jnl`	Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference. CoRR Hoang Anh Duy Le, Sahil Joshi, Zeyu Yang, Zhaozhuo Xu, Anshumali Shrivastava
2026	J	`jnl`	The Diminishing Returns of Early-Exit Decoding in Modern LLMs. CoRR Rui Wei, Rui Du, Hanfei Yu, Devesh Tiwari, Jian Li, Zhaozhuo Xu, Hao Wang
2025	—	`conf`	ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. NAACL (Long Papers) Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. CoRR Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu
2025	—	`conf`	Building Self-Awareness of LLMs Over Weight Quantization. ICDM (Workshops) Alexander Poon, Zhaozhuo Xu
2025	A*	`conf`	Compression-Aware Computing for Scalable and Sustainable AI. AAAI Zhaozhuo Xu
2025	J	`jnl`	Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts. CoRR Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang
2025	A*	`conf`	DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. EMNLP Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. CoRR Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu
2025	A	`conf`	Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. UAI Jiehao Liang, Zhao Song, Zhaozhuo Xu, Junze Yin, Danyang Zhuo
2025	J	`jnl`	Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. CoRR Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	OAT-Rephrase: Optimization-Aware Training Data Rephrasing for Zeroth-Order LLM Fine-Tuning. CoRR Jikai Long, Zijian Hu, Xiaodong Yu, Jianwen Xie, Zhaozhuo Xu
2025	—	`conf`	Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks. ICML (Position Papers) Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang
2025	—	`conf`	Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting. EMNLP (Findings) Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2025	A*	`conf`	Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context. EMNLP Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang
2025	A*	`conf`	Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate. ICML Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang
2025	J	`jnl`	Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models. CoRR Yuheng Wu, Wentao Guo, Zirui Liu, Heng Ji, Zhaozhuo Xu, Denghui Zhang
2025	A*	`conf`	Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation. ICML Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava
2025	—	`conf`	Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. ACL (1) Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang
2025	J	`jnl`	To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration. CoRR Zeyu Yang, Tianyi Zhang, Jianwen Xie, Chuan Li, Zhaozhuo Xu, Anshumali Shrivastava
2025	J	`jnl`	Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations. CoRR Zhendong Mi, Qitao Tan, Grace Li Zhang, Zhaozhuo Xu, Geng Yuan, Shaoyi Huang
2025	J	`jnl`	VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation. CoRR Huawei Lin, Tong Geng, Zhaozhuo Xu, Weijie Zhao
2025	A*	`conf`	Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. EMNLP Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2025	J	`jnl`	Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. CoRR Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2025	A*	`conf`	ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization. OSDI Zhuang Wang, Zhaozhuo Xu, Jingyi Xi, Yuke Wang, Anshumali Shrivastava, T. S. Eugene Ng
2025	A*	`conf`	Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. ICLR 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
2024	J	`jnl`	Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs. CoRR Yide Ran, Zhaozhuo Xu, Yuhang Yao, Zijian Hu, Shanshan Han, Han Jin, Alay Dilipbhai Shah, Jipeng Zhang, Dimitris Stripelis, Tong Zhang, Salman Avestimehr, Chaoyang He
2024	A*	`conf`	Do LLMs Know to Respect Copyright Notice? EMNLP Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2024	J	`jnl`	Do LLMs Know to Respect Copyright Notice? CoRR Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
2024	A*	`conf`	FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. NeurIPS 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
2024	J	`jnl`	Fox-1 Technical Report. CoRR Zijian Hu, Jipeng Zhang, Rui Pan, Zhaozhuo Xu, Shanshan Han, Han Jin, Alay Dilipbhai Shah, Dimitris Stripelis, Yuhang Yao, Salman Avestimehr, Chaoyang He, Tong Zhang
2024	A*	`conf`	GNNs Also Deserve Editing, and They Need It More Than Once. ICML Shaochen (Henry) 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
2024	—	`conf`	In Defense of Structural Sparse Adapters for Concurrent LLM Serving. EMNLP (Findings) Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu
2024	A*	`conf`	KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. ICML Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024	J	`jnl`	KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. CoRR Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024	—	`conf`	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu
2024	J	`jnl`	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
2024	A*	`conf`	KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. NeurIPS Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava
2024	J	`jnl`	KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. CoRR Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava
2024	A*	`conf`	Knowledge Graphs Can be Learned with Just Intersection Features. ICML Duy Le, Shaochen (Henry) Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu
2024	J	`jnl`	LLM Multi-Agent Systems: Challenges and Open Problems. CoRR Shanshan Han, Qifan Zhang, Yuhang Yao, Weizhao Jin, Zhaozhuo Xu, Chaoyang He
2024	J	`jnl`	Measuring Copyright Risks of Large Language Model via Partial Information Probing. CoRR Weijie Zhao, Huajie Shao, Zhaozhuo Xu, Suzhen Duan, Denghui Zhang
2024	A*	`conf`	NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. NeurIPS Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava
2024	J	`jnl`	NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. CoRR Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava
2024	J	`jnl`	PolyRouter: A Multi-LLM Querying System. CoRR Dimitris Stripelis, Zijian Hu, Jipeng Zhang, Zhaozhuo Xu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Salman Avestimehr, Chaoyang He
2024	—	`conf`	QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. EMNLP (Findings) Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu
2024	A*	`conf`	SIRIUS : Contexual Sparisty with Correction for Efficient LLMs. NeurIPS Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Victoria Lin, Beidi Chen
2024	—	`conf`	ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. EMNLP (Industry Track) Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He
2024	J	`jnl`	ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. CoRR Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Yide Ran, Dimitris Stripelis, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He
2024	J	`jnl`	Sirius: Contextual Sparsity with Correction for Efficient LLMs. CoRR Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Victoria Lin, Beidi Chen
2024	A*	`conf`	Soft Prompt Recovers Compressed LLMs, Transferably. ICML Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2024	J	`jnl`	SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching. CoRR Tianyi Zhang, Junda Su, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava
2024	A*	`conf`	TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024	—	`conf`	TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. EMNLP (Industry Track) Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He
2024	—	`conf`	Token-wise Influential Training Data Retrieval for Large Language Models. ACL (1) Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
2024	J	`jnl`	Token-wise Influential Training Data Retrieval for Large Language Models. CoRR Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
2024	J	`jnl`	TorchOpera: A Compound AI System for LLM Safety. CoRR Shanshan Han, Yuhang Yao, Zijian Hu, Dimitris Stripelis, Zhaozhuo Xu, Chaoyang He
2024	J	`jnl`	Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. CoRR Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu
2024	J	`jnl`	Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. CoRR 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
2023	A	`conf`	A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. AISTATS Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava
2023	J	`jnl`	A Theoretical Analysis Of Nearest Neighbor Search On Approximate Near Neighbor Graph. CoRR Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
2023	J	`jnl`	Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. CoRR Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2023	—	`conf`	Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training. MLSys Zhuang Wang, Xinyu Crystal Wu, Zhaozhuo Xu, T. S. Eugene Ng
2023	A	`conf`	Graph Self-supervised Learning via Proximity Distribution Minimization. UAI Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava
2023	J	`jnl`	LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023	J	`jnl`	Multi-Domain Fusion Graph Network for Semi-Supervised PolSAR Image Classification. Remote. Sens. Rui Tang, Fangling Pu, Rui Yang, Zhaozhuo Xu, Xin Xu
2023	A*	`conf`	One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning. NeurIPS Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
2023	A*	`conf`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2023	J	`jnl`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2023	A*	`conf`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
2023	J	`jnl`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
2023	J	`jnl`	Zen: Near-Optimal Sparse Tensor Synchronization for Distributed DNN Training. CoRR Zhuang Wang, Zhaozhuo Xu, Anshumali Shrivastava, T. S. Eugene Ng
2022	J	`jnl`	A General Feature Paradigm for Unsupervised Cross-Domain PolSAR Image Classification. IEEE Geosci. Remote. Sens. Lett. Rong Gui, Xin Xu, Rui Yang, Zhaozhuo Xu, Lei Wang, Fangling Pu
2022	J	`jnl`	Accelerating Frank-Wolfe Algorithm using Low-Dimensional and Adaptive Data Structures. CoRR Zhao Song, Zhaozhuo Xu, Yuanyuan Yang, Lichen Zhang
2022	B	`conf`	Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. IEEE Big Data Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo
2022	J	`jnl`	Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations. CoRR Lianke Qin, Aravind Reddy, Zhao Song, Zhaozhuo Xu, Danyang Zhuo
2022	J	`jnl`	Composite Sequential Network With POA Attention for PolSAR Image Analysis. IEEE Trans. Geosci. Remote. Sens. Rui Yang, Xin Xu, Rong Gui, Zhaozhuo Xu, Fangling Pu
2022	J	`jnl`	DA2Net: Distraction-Attention-Driven Adversarial Network for Robust Remote Sensing Image Scene Classification. IEEE Geosci. Remote. Sens. Lett. Rui Yang, Fangling Pu, Zhaozhuo Xu, Chujiang Ding, Xin Xu
2022	A*	`conf`	DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks. ICML Zhuang Wang, Zhaozhuo Xu, Xinyu Crystal Wu, Anshumali Shrivastava, T. S. Eugene Ng
2022	J	`jnl`	Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. CoRR Jiehao Liang, Zhao Song, Zhaozhuo Xu, Danyang Zhuo
2022	—	`conf`	HALOS: Hashing Large Output Space for Cheap Inference. MLSys Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li, Beidi Chen, Anshumali Shrivastava
2022	J	`jnl`	Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li
2022	J	`jnl`	Speeding Up Sparsification using Inner Product Search Data Structures. CoRR Zhao Song, Zhaozhuo Xu, Lichen Zhang
2022	—	`conf`	Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. EMNLP (Findings) Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava
2022	J	`jnl`	Sublinear Time Algorithm for Online Weighted Bipartite Matching. CoRR Hang Hu, Zhao Song, Runzhou Tao, Zhaozhuo Xu, Danyang Zhuo
2021	J	`jnl`	Beyond Convolutions: A Novel Deep Learning Approach for Raw Seismic Data Ingestion. CoRR Zhaozhuo Xu, Aditya Desai, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
2021	A*	`conf`	Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. NeurIPS Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava
2021	J	`jnl`	Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures. CoRR Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
2021	A*	`conf`	Locality Sensitive Teaching. NeurIPS Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, Anshumali Shrivastava
2021	A*	`conf`	MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. ICLR Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré
2021	A*	`conf`	Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
2021	J	`jnl`	PairConnect: A Compute-Efficient MLP Alternative to Attention. CoRR Zhaozhuo Xu, Minghao Yan, Junyan Zhang, Anshumali Shrivastava
2021	A*	`conf`	Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler. NeurIPS Aditya Desai, Zhaozhuo Xu, Menal Gupta, Anu Chandran, Antoine Vial-Aussavy, Anshumali Shrivastava
2021	J	`jnl`	Satellite Images and Deep Learning to Identify Discrepancy in Mailing Addresses with Applications to Census 2020 in Houston. CoRR Zhaozhuo Xu, Alan Baonan Ji, Andrew Woods, Beidi Chen, Anshumali Shrivastava
2021	J	`jnl`	Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing. CoRR Anshumali Shrivastava, Zhao Song, Zhaozhuo Xu
2020	J	`jnl`	Climbing the WOL: Training for Cheaper Inference. CoRR Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
2020	A	`conf`	Fast Item Ranking under Neural Network based Measures. WSDM Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
2019	C	`conf`	A Class Activation Mapping Guided Adversarial Training Method for Land-Use Classification and Object Detection. IGARSS Rui Yang, Xin Xu, Zhaozhuo Xu, Chujiang Ding, Fangling Pu
2019	J	`jnl`	Detection, Tracking, and Geolocation of Moving Vehicle From UAV Using Monocular Camera. IEEE Access Xiaoyue Zhao, Fangling Pu, Zhihang Wang, Hongyu Chen, Zhaozhuo Xu
2019	J	`jnl`	Dynamic Fractal Texture Analysis for PolSAR Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. Rui Yang, Xin Xu, Zhaozhuo Xu, Hao Dong, Rong Gui, Fangling Pu
2019	A*	`conf`	Möbius Transformation for Fast Inner Product Search on Graph. NeurIPS Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li
2019	—	`conf`	On Efficient Retrieval of Top Similarity Vectors. EMNLP/IJCNLP (1) Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li
2019	J	`jnl`	SAR-to-Optical Image Translation Using Supervised Cycle-Consistent Adversarial Networks. IEEE Access Lei Wang, Xin Xu, Yue Yu, Rui Yang, Rong Gui, Zhaozhuo Xu, Fangling Pu
2018	J	`jnl`	A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series. J. Sensors Fangling Pu, Zhaozhuo Xu, Hongyu Chen, Xin Xu, Nengcheng Chen
2017	J	`jnl`	Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery. Remote. Sens. Zhaozhuo Xu, Xin Xu, Lei Wang, Rui Yang, Fangling Pu
2017	—	`conf`	Unified management and control of heterogeneous water quality measuring devices via edge computing nodes. IEEE SENSORS Fangling Pu, Zhaozhuo Xu, Xin Xu
2016	J	`jnl`	Raspberry Pi Based Intelligent Wireless Sensor Node for Localized Torrential Rain Monitoring. J. Sensors Zhaozhuo Xu, Fangling Pu, Xin Fang, Jing Fu