Jiaming Xu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
Global Convergence of Federated Learning for Mixed Regression.
IEEE Trans. Inf. Theory, September, 2024

Efficient Video Transformers via Spatial-temporal Token Merging for Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Three-dimensional deep reinforcement learning for trajectory and resource optimization in UAV communication systems.
Phys. Commun., 2024

EEGNet-based multi-source domain filter for BCI transfer learning.
Medical Biol. Eng. Comput., 2024

Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent.
J. Mach. Learn. Res., 2024

Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective.
CoRR, 2024

MARCA: Mamba Accelerator with ReConfigurable Architecture.
CoRR, 2024

Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms.
CoRR, 2024

A Survey on Efficient Inference for Large Language Models.
CoRR, 2024

FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics.
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Sharp Information-Theoretic Thresholds for Shuffled Linear Regression.
Proceedings of the IEEE International Symposium on Information Theory, 2024

OSAgent: Copiloting Operating System with LLM-based Agent.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Spectral Graph Matching and Regularized Quadratic Relaxations II.
Found. Comput. Math., October, 2023

Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis.
Found. Comput. Math., October, 2023

Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation.
IEEE CAA J. Autom. Sinica, March, 2023

Mapping Large-Scale Bamboo Forest Based on Phenology and Morphology Features.
Remote. Sens., January, 2023

Learner-Private Convex Optimization.
IEEE Trans. Inf. Theory, 2023

A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points.
J. Mach. Learn. Res., 2023

Fast and Efficient 2-bit LLM Inference on GPU: 2/4/16-bit in a Weight Matrix with Asynchronous Dequantization.
CoRR, 2023

FlashDecoding++: Faster Large Language Model Inference on GPUs.
CoRR, 2023

Federated Learning in the Presence of Adversarial Client Unavailability.
CoRR, 2023

Random Graph Matching at Otter's Threshold via Counting Chandeliers.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Constant Regret Primal-Dual Policy for Multi-way Dynamic Matching.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching.
Proceedings of the International Conference on Machine Learning, 2023

TSTC: Two-Level Sparsity Tensor Core Enabling both Algorithm Flexibility and Hardware Efficiency.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Settling the Sharp Reconstruction Thresholds of Random Graph Matching.
IEEE Trans. Inf. Theory, 2022

A Coarse-to-Fine Method Based on Saliency Map for Solar Cell Interior Defect Measurement.
IEEE Trans. Instrum. Meas., 2022

A Rail Surface Defect Detection Method Based on Pyramid Feature and Lightweight Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2022

A CISG Method for Internal Defect Detection of Solar Cells in Different Production Processes.
IEEE Trans. Ind. Electron., 2022

Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs.
Oper. Res., 2022

Biomedical text mining algorithm based on domain ontology.
Int. J. Data Min. Bioinform., 2022

SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching.
CoRR, 2022

RoadFormer: Pyramidal deformable vision transformers for road network extraction with remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Identifying and Tracking Network-Wide Traffic Congestion Based on Mapping-to-Cells Vehicle Trajectory Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Random Graph Matching in Geometric Models: the Case of Complete Graphs.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Consistent Recovery Threshold of Hidden Nearest Neighbor Graphs.
IEEE Trans. Inf. Theory, 2021

Automatic Defect Inspection for Monocrystalline Solar Cell Interior by Electroluminescence Image Self-Comparison Method.
IEEE Trans. Instrum. Meas., 2021

Spatial Allocation Method from Coarse Evapotranspiration Data to Agricultural Fields by Quantifying Variations in Crop Cover and Soil Moisture.
Remote. Sens., 2021

The Power of D-hops in Matching Power-Law Graphs.
Proc. ACM Meas. Anal. Comput. Syst., 2021

A 510-nW Wake-Up Keyword-Spotting Chip Using Serial-FFT-Based MFCC and Binarized Depthwise Separable CNN in 28-nm CMOS.
IEEE J. Solid State Circuits, 2021

Graph Matching with Partially-Correct Seeds.
J. Mach. Learn. Res., 2021

Quantifying the Contributions of Environmental Factors to Wind Characteristics over 2000-2019 in China.
ISPRS Int. J. Geo Inf., 2021

Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence-powered Internet of Things.
Int. J. Distributed Sens. Networks, 2021

ETWatch cloud: APIs for regional actual evapotranspiration data generation.
Environ. Model. Softw., 2021

Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points.
CoRR, 2021

The planted matching problem: Sharp threshold and infinite-order phase transition.
CoRR, 2021

Learner-Private Online Convex Optimization.
CoRR, 2021

AAD-KWS: a sub-$\mu\mathrm{W}$ keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

AAD-KWS: a sub-µW keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS.
Proceedings of the 47th ESSCIRC 2021, 2021

One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Optimal query complexity for private sequential learning against eavesdropping.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Sample Balancing for Deep Learning-Based Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Surface Quality Assurance Method for Lithium-Ion Battery Electrode Using Concentration Compensation and Partiality Decision Rules.
IEEE Trans. Instrum. Meas., 2020

A Wide-Voltage-Range Transition-Detector With In-Situ Timing-Error Detection and Correction Based on Pulsed-Latch Design in 28 nm CMOS.
IEEE Trans. Circuits Syst., 2020

Seeded graph matching via large neighborhood statistics.
Random Struct. Algorithms, 2020

Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data.
Remote. Sens., 2020

Machine Learning Assisted Side-Channel-Attack Countermeasure and Its Application on a 28-nm AES Circuit.
IEEE J. Solid State Circuits, 2020

Hidden Hamiltonian Cycle Recovery via Linear Programming.
Oper. Res., 2020

Abnormal network data mining model based on deep training learning.
Int. J. Internet Protoc. Technol., 2020

14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS.
Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

Intracranial Electroencephalogram Based Epilepsy Seizure Onset Detection.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory.
Proceedings of the 37th International Conference on Machine Learning, 2020

Automatic Aspect-Based Sentiment Analysis (AABSA) from Customer Reviews.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform.
Remote. Sens., 2019

Securing Distributed Gradient Descent in High Dimensional Statistical Learning.
Proc. ACM Meas. Anal. Comput. Syst., 2019

The Planted Matching Problem: Phase Transitions and Exact Results.
CoRR, 2019

Optimal query complexity for private sequential learning.
CoRR, 2019

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality.
CoRR, 2019

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model.
CoRR, 2019

Learning Bias-Free Representation for Large-Scale Person Re-Identification.
IEEE Access, 2019

A 923 Gbps/W, 113-Cycle, 2-Sbox Energy-efficient AES Accelerator in 28nm CMOS.
Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Improved Queue-Size Scaling for Input-Queued Switches via Graph Factorization.
Proceedings of the Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2019

ynamic Adaptation of Approximate Bit-width for CNNs based on Quantitative Error Resilience.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The All-or-Nothing Phenomenon in Sparse Linear Regression.
Proceedings of the Conference on Learning Theory, 2019

All-or-Nothing Phenomena: From Single-Letter to High Dimensions.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

A Depthwise Separable Convolution Neural Network for Small-footprint Keyword Spotting Using Approximate MAC Unit and Streaming Convolution Reuse.
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019

2018
Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2018

Information-Theoretic Bounds and Phase Transitions in Clustering, Sparse PCA, and Submatrix Localization.
IEEE Trans. Inf. Theory, 2018

Regional Daily ET Estimates Based on the Gap-Filling Method of Surface Conductance.
Remote. Sens., 2018

Multi-Gait Recognition Based on Attribute Discovery.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Learning from Comparisons and Choices.
J. Mach. Learn. Res., 2018

Recovering a hidden community beyond the Kesten-Stigum threshold in O(|E|log*|V|) time.
J. Appl. Probab., 2018

Efficient random graph matching via degree profiles.
CoRR, 2018

Convex Relaxation Methods for Community Detection.
CoRR, 2018

Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits.
CoRR, 2018

Securing Distributed Machine Learning in High Dimensions.
CoRR, 2018

Differential Power Analysis of 8-Bit Datapath AES for IoT Applications.
Proceedings of the 17th IEEE International Conference On Trust, 2018

A Compact, Lightweight and Low-Cost 8-Bit Datapath AES Circuit for IoT Applications in 28nm CMOS.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Integrating Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Rates of Convergence of Spectral Methods for Graphon Estimation.
Proceedings of the 35th International Conference on Machine Learning, 2018

A 0.46V-1.1V Transition-Detector with In-Situ Timing-Error Detection and Correction Based on Pulsed-Latch Design in AES Accelerator.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018

2017
Information Limits for Recovering a Hidden Community.
IEEE Trans. Inf. Theory, 2017

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Multi-gait recognition using hypergraph partition.
Mach. Vis. Appl., 2017

Submatrix localization via message passing.
J. Mach. Learn. Res., 2017

2016
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions.
IEEE Trans. Inf. Theory, 2016

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming.
IEEE Trans. Inf. Theory, 2016

Uncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph learning.
Pattern Recognit., 2016

Multi-gait identification based on multilinear analysis and multi-target tracking.
Multim. Tools Appl., 2016

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices.
J. Mach. Learn. Res., 2016

Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization.
CoRR, 2016

Mutual information in rank-one matrix estimation.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

THU-EE System Description for NIST LRE 2015.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Local Algorithms for Block Models with Side Information.
Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016

Density Evolution in the Degree-correlated Stochastic Block Model.
Proceedings of the 29th Conference on Learning Theory, 2016

Semidefinite Programs for Exact Recovery of a Hidden Community.
Proceedings of the 29th Conference on Learning Theory, 2016

2015
Reconstruction in the Labelled Stochastic Block Model.
IEEE Trans. Netw. Sci. Eng., 2015

Regularized minimum class variance extreme learning machine for language recognition.
EURASIP J. Audio Speech Music. Process., 2015

Recovering a Hidden Community Beyond the Spectral Limit in O(|E|log<sup>*</sup>|V|) Time.
CoRR, 2015

Convexified Modularity Maximization for Degree-corrected Stochastic Block Models.
CoRR, 2015

Clustering and Inference From Pairwise Comparisons.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Collaboratively Learning Preferences from Ordinal Data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Exact recovery threshold in the binary censored block model.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Application of Gravity Center Track in Gait Recognition Robust to Influencing Factors.
Proceedings of the Advances in Image and Graphics Technologies - 10th Chinese Conference, 2015

Computational Lower Bounds for Community Detection on Random Graphs.
Proceedings of The 28th Conference on Learning Theory, 2015

Achieving exact cluster recovery threshold via semidefinite programming under the stochastic block model.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Statistical inference in networks: fundamental limits and efficient algorithms
PhD thesis, 2014

Cross-view gait recognition based on human walking trajectory.
J. Vis. Commun. Image Represent., 2014

Jointly clustering rows and columns of binary matrices: algorithms and trade-offs.
Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Minimax-optimal Inference from Partial Rankings.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting.
Proceedings of the 31th International Conference on Machine Learning, 2014

Improved phonotactic language recognition based on RNN feature reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2014

Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results.
Proceedings of The 27th Conference on Learning Theory, 2014

2013
Reconstruction in the labeled stochastic block model.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Simplified domain transfer multiple kernel learning for language recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

THUEE system for the Albayzin 2012 language recognition evaluation.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012
MISO Broadcast Channels with Delayed Finite-Rate Feedback: Predict or Observe?
IEEE Trans. Wirel. Commun., 2012

The supermarket game.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011
On the Accuracy of the Wyner Model in Cellular Networks.
IEEE Trans. Wirel. Commun., 2011

Broadcast Channels with Delayed Finite-Rate Feedback: Predict or Observe?
CoRR, 2011

A self-adaptive differential evolution algorithm for binary CSPs.
Comput. Math. Appl., 2011

On the Accuracy of the Wyner Model in Downlink Cellular Networks.
Proceedings of IEEE International Conference on Communications, 2011

The net benefit of delayed finite-rate feedback in the MISO broadcast channel.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
When Does the Wyner Model Accurately Describe an Uplink Cellular Network?
Proceedings of the Global Communications Conference, 2010


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