Haotian Jiang

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

Bibliography

2025

The Effect of Depth on the Expressivity of Deep Linear State-Space Models.

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[DOI]

CoRR, June, 2025

Numerical Investigation of Sequence Modeling Theory using Controllable Memory Functions.

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[DOI]

CoRR, June, 2025

Pathology Image Restoration via Mixture of Prompts.

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[DOI]

CoRR, March, 2025

LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening.

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[DOI]

CoRR, March, 2025

Tensor Concentration Inequalities: A Geometric Approach.

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[DOI]

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Quasi-Monte Carlo Beyond Hardy-Krause.

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[DOI]

Nikhil Bansal

Haotian Jiang

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Ensemble of Foundation Models for Pap Smear Cell Analysis.

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[DOI]

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Diffusion MAE: Paving the Way for Representation Learning of Diffusion MRI.

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[DOI]

Haotian Jiang

Geng Chen

Proceedings of the Information Processing in Medical Imaging, 2025

Self-supervised Denoising of Diffusion MRI Data with Efficient Collaborative Diffusion Model.

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[DOI]

Xiaoyu Bai

Haotian Jiang

Geng Chen

Proceedings of the Information Processing in Medical Imaging, 2025

DCIM-AVSR: Efficient Audio-Visual Speech Recognition via Dual Conformer Interaction Module.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MITracker: Multi-View Integration for Visual Object Tracking.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

An Adaptive Deconvolution Method with Improve Enhanced Envelope Spectrum and Its Application for Bearing Fault Feature Extraction.

[BibT_eX]

[DOI]

Sensors, February, 2024

A Geometric Perspective on the Injective Norm of Sums of Random Tensors.

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[DOI]

CoRR, 2024

Convex Minimization with Integer Minima in Õ(n4) Time.

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[DOI]

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Approximation Rate of the Transformer Architecture for Sequence Modeling.

[BibT_eX]

[DOI]

Haotian Jiang

Qianxiao Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Label MambaOut for Quality Assessment of Low-Field Pediatric Brain MR Images.

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[DOI]

Proceedings of the Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, 2024

Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model.

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[DOI]

Proceedings of the Computational Diffusion MRI - 15th International Workshop, 2024

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise.

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[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Differentially Private Synthetic Data via Foundation Model APIs 2: Text.

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[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model.

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[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Minimizing Convex Functions with Rational Minimizers.

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[DOI]

Haotian Jiang

J. ACM, February, 2023

Convex Optimization Over Integer Points

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[DOI]

Haotian Jiang

PhD thesis, 2023

Cross-Technology Communication for the Internet of Things: A Survey.

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[DOI]

ACM Comput. Surv., 2023

Approximation theory of transformer networks for sequence modeling.

[BibT_eX]

[DOI]

Haotian Jiang

Qianxiao Li

CoRR, 2023

Learning across Data Owners with Joint Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2023

Convex Minimization with Integer Minima in Õ(n4) Time.

[BibT_eX]

[DOI]

CoRR, 2023

A Brief Survey on the Approximation Theory for Sequence Modelling.

[BibT_eX]

[DOI]

CoRR, 2023

Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank.

[BibT_eX]

[DOI]

Nikhil Bansal

Haotian Jiang

Raghu Meka

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Parallel Submodular Function Minimization.

[BibT_eX]

[DOI]

Deeparnab Chakrabarty

Andrei Graur

Haotian Jiang

Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer.

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[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Sparse Submodular Function Minimization.

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[DOI]

Andrei Graur

Haotian Jiang

Aaron Sidford

Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2022

Link Quality Estimation of Cross-Technology Communication: The Case with Physical-Level Emulation.

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[DOI]

ACM Trans. Sens. Networks, 2022

Taming the Errors in Cross-Technology Communication: A Probabilistic Approach.

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[DOI]

ACM Trans. Sens. Networks, 2022

Efficient Ambient LoRa Backscatter With On-Off Keying Modulation.

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[DOI]

IEEE/ACM Trans. Netw., 2022

Low-cost Relevance Generation and Evaluation Metrics for Entity Resolution in AI.

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[DOI]

CoRR, 2022

A new framework for matrix discrepancy: partial coloring bounds via mirror descent.

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[DOI]

Daniel Dadush

Haotian Jiang

Victor Reis

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

A Tighter Relation Between Hereditary Discrepancy and Determinant Lower Bound.

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[DOI]

Haotian Jiang

Victor Reis

Proceedings of the 5th Symposium on Simplicity in Algorithms, 2022

Saiyan: Design and Implementation of a Low-power Demodulator for LoRa Backscatter Systems.

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[DOI]

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Prefix Discrepancy, Smoothed Analysis, and Combinatorial Vector Balancing.

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[DOI]

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

On the approximation properties of recurrent encoder-decoder architectures.

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[DOI]

Zhong Li

Haotian Jiang

Qianxiao Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Smoothed Analysis of the Komlós Conjecture.

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[DOI]

Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022

Improved Lower Bounds for Submodular Function Minimization.

[BibT_eX]

[DOI]

Deeparnab Chakrabarty

Andrei Graur

Haotian Jiang

Aaron Sidford

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

2021

WIDE: Physical-Level CTC via Digital Emulation.

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[DOI]

IEEE/ACM Trans. Netw., 2021

Distributed Deep Learning Optimized System over the Cloud and Smart Phone Devices.

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[DOI]

IEEE Trans. Mob. Comput., 2021

Minimizing Convex Functions with Integral Minimizers.

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[DOI]

Haotian Jiang

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Online Discrepancy Minimization for Stochastic Arrivals.

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[DOI]

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Sense Me on the Ride: Accurate Mobile Sensing over a LoRa Backscatter Channel.

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[DOI]

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Approximation Theory of Convolutional Architectures for Time Series Modelling.

[BibT_eX]

[DOI]

Haotian Jiang

Zhong Li

Qianxiao Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks.

[BibT_eX]

[DOI]

Haotian Jiang

Qianxiao Li

Proceedings of the Geometric Science of Information - 6th International Conference, 2021

2020

A Unified PTAS for Prize Collecting TSP and Steiner Tree Problem in Doubling Metrics.

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[DOI]

T.-H. Hubert Chan

Haotian Jiang

Shaofeng H.-C. Jiang

ACM Trans. Algorithms, 2020

An improved cutting plane method for convex optimization, convex-concave games, and its applications.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Online vector balancing and geometric discrepancy.

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[DOI]

Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Aloba: rethinking ON-OFF keying modulation for ambient LoRa backscatter.

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[DOI]

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Algorithms and Adaptivity Gaps for Stochastic k-TSP.

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[DOI]

Proceedings of the 11th Innovations in Theoretical Computer Science Conference, 2020

Link Quality Estimation of Cross-Technology Communication.

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[DOI]

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

A Faster Interior Point Method for Semidefinite Programming.

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[DOI]

Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020

2019

Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart.

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[DOI]

IEEE Trans. Affect. Comput., 2019

Delay asymptotics and bounds for multitask parallel jobs.

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[DOI]

Queueing Syst. Theory Appl., 2019

Online Geometric Discrepancy for Stochastic Arrivals with Applications to Envy Minimization.

[BibT_eX]

[DOI]

Haotian Jiang

Janardhan Kulkarni

Sahil Singla

CoRR, 2019

Near-optimal Repair of Reed-Solomon Codes with Low Sub-packetization.

[BibT_eX]

[DOI]

Venkatesan Guruswami

Haotian Jiang

Proceedings of the IEEE International Symposium on Information Theory, 2019

The Markovian Price of Information.

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[DOI]

Proceedings of the Integer Programming and Combinatorial Optimization, 2019

The Smart Insole: A Pilot Study of Fall Detection.

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[DOI]

Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2019

2018

Delay Asymptotics and Bounds for Multi-Task Parallel Jobs.

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[DOI]

SIGMETRICS Perform. Evaluation Rev., 2018

Food Nutrition Visualization on Google Glass: Design Tradeoff and Field Evaluation.

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[DOI]

IEEE Consumer Electron. Mag., 2018

Does background really matter? Worker activity recognition in unconstrained construction environment.

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[DOI]

Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

Online learning classifier based behavioral biometrie authentication.

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[DOI]

Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

2017

Asymptotic response time analysis for multi-task parallel jobs.

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[DOI]

CoRR, 2017

Practical Algorithms for Best-K Identification in Multi-Armed Bandits.

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[DOI]

Haotian Jiang

Jian Li

Mingda Qiao

CoRR, 2017

Risk Factors Identification for Work-Related Musculoskeletal Disorders with Wearable and Connected Gait Analytics System.

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[DOI]

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

2016

An Attempt to Design a Better Algorithm for the Uncapacitated Facility Location Problem.

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[DOI]

Haotian Jiang

CoRR, 2016

Two Stage Optimization with Recourse and Revocation.

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[DOI]

Haotian Jiang

CoRR, 2016

Cooperative target searching and tracking via UCT with probability distribution model.

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[DOI]

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015

Acu Glass: Quantifying Acupuncture Therapy using Google Glass.

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[DOI]

Proceedings of the 10th EAI International Conference on Body Area Networks, 2015

Haotian Jiang

Bibliography

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