Publications (29)
Mean ergodic theorems in and ,
el Houcein el Abdalaoui, Michael Lin
Let be the Koopman operator of a measure preserving transformation of a probability space . We study the convergence properties of the averages $M_nf:=\frac1n\s…
Spectra of averages of unitary representations of LCA groups
Guy Cohen, Michael Lin
The paper studies the spectrum of operators obtained by averaging unitary representations of locally compact Abelian groups with respect to a probability measure, establishing incl…
Stabilizing a Queue Subject to Action-Dependent Server Performance
Michael Lin, Richard J. La, Nuno C. Martins
We consider a discrete-time system comprising a first-come-first-served queue, a non-preemptive server, and a scheduler that governs the assignment of tasks in the queue to the ser…
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
Baohua Sun, Lin Yang, Michael Lin +4
The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new a…
The Positive Mass Theorem for Creased Initial Data
Demetre Kazaras, Marcus Khuri, Michael Lin
We establish a spacetime positive mass theorem and rigidity statement for asymptotically flat spin initial data sets with a codimension one singularity controlled by a matching Bar…
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
Baohua Sun, Lin Yang, Wenhan Zhang +4
Tabular data is the most commonly used form of data in industry. Gradient Boosting Trees, Support Vector Machine, Random Forest, and Logistic Regression are typically used for clas…
AGILE: A Comprehensive Workflow for Humanoid Loco-Manipulation Learning
Huihua Zhao, Rafael Cathomen, Lionel Gulich +6
Recent advances in reinforcement learning (RL) have enabled impressive humanoid behaviors in simulation, yet transferring these results to new robots remains challenging. In many r…
Reflexive Banach spaces with all power-bounded operators almost periodic
Michael Lin
We analyze the ergodic properties of power-bounded operators on a reflexive Banach space of the form "scalar plus compact-power", and show that they are almost periodic (all the or…
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju +3
Collaborative training methods like Federated Learning (FL) and Split Learning (SL) enable distributed machine learning without sharing raw data. However, FL assumes clients can tr…
SuperOCR: A Conversion from Optical Character Recognition to Image Captioning
Baohua Sun, Michael Lin, Hao Sha +1
Optical Character Recognition (OCR) has many real world applications. The existing methods normally detect where the characters are, and then recognize the character for each detec…
Twisty Takens: A Geometric Characterization of Good Observations on Dense Trajectories
Boyan Xu, Christopher J. Tralie, Alice Antia +2
In nonlinear time series analysis and dynamical systems theory, Takens' embedding theorem states that the sliding window embedding of a generic observation along trajectories in a…
WebGuard: Building a Generalizable Guardrail for Web Agents
Boyuan Zheng, Zeyi Liao, Scott Salisbury +8
The rapid development of autonomous web agents powered by Large Language Models (LLMs), while greatly elevating efficiency, exposes the frontier risk of taking unintended or harmfu…
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device
Baohua Sun, Lin Yang, Hao Sha +1
Recent years NLP research has witnessed the record-breaking accuracy improvement by DNN models. However, power consumption is one of the practical concerns for deploying NLP system…
On modulated ergodic theorems
Tanja Eisner, Michael Lin
Let be a weakly almost periodic (WAP) linear operator on a Banach space . A sequence of scalars {\it modulates} on if $\frac1n\sum_{k=1}^n…
Channels, Remote Estimation and Queueing Systems With A Utilization-Dependent Component: A Unifying Survey Of Recent Results
Varun Jog, Richard J. La, Michael Lin +1
In this article, we survey the main models, techniques, concepts, and results centered on the design and performance evaluation of engineered systems that rely on a utilization-dep…
Stabilizing Transformer Training Through Consensus
Shyam Venkatasubramanian, Sean Moushegian, Michael Lin +3
Standard attention-based transformers are known to exhibit instability under learning rate overspecification during training, particularly at high learning rates. While various met…
Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis
Baohua Sun, Lin Yang, Catherine Chi +2
The Super Characters method addresses sentiment analysis problems by first converting the input text into images and then applying 2D-CNN models to classify the sentiment. It achie…
Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter
Dane Brouwer, Joshua Citron, Hojung Choi +4
It is difficult for robots to retrieve objects in densely cluttered lateral access scenes with movable objects as jamming against adjacent objects and walls can inhibit progress. W…
Doeblin's condition, -mixing and spectra of convolution operators on the circle
Guy Cohen, Michael Lin
We study the asymptotic behavior of Markov operators defined by convolution with a probability measure on the unit circle . We prove that when is adapte…
Inferring, comparing and exploring ecological networks from time-series data through R packages constructnet, disgraph and dynet
Anshuman Swain, Travis Byrum, Zhaoyi Zhuang +3
Network inference is a major field of interest for the ecological community, especially in light of the high cost and difficulty of manual observation, and easy availability of rem…
Joint and double coboundaries of commuting contractions
Guy Cohen, Michael Lin
Let and be commuting contractions on a Banach space . The elements of are called {\it double coboundaries}, and the elements of are ca…
SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding
Baohua Sun, Lin Yang, Michael Lin +4
Language and vision are processed as two different modal in current work for image captioning. However, recent work on Super Characters method shows the effectiveness of two-dimens…
Uniform ergodicity and the one-sided ergodic Hilbert transform
Guy Cohen, Michael Lin
Let be a bounded linear operator on a Banach space satisfying . We prove that is uniformly ergodic if and only if the one-sided ergodic Hilbert transfo…
Operator ergodic theorems with Möbius "weights"
El Houcein El Abdalaoui, Michael Lin
Motivated by Sarnak's conjecture in topological dynamics for the Möbius function , we study, for a power-bounded on a Banach space , the weak convergence $$ (*) \qquad…
Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
Boyu Gou, Zanming Huang, Yuting Ning +23
Agentic search such as Deep Research systems-where agents autonomously browse the web, synthesize information, and return comprehensive citation-backed answers-represents a major s…
Queueing Subject To Action-Dependent Server Performance: Utilization Rate Reduction
Michael Lin, Nuno C. Martins, Richard J. La
We consider a discrete-time system comprising a first-come-first-served queue, a non-preemptive server, and a stationary non-work-conserving scheduler. New tasks enter the queue ac…
Resolvent conditions and growth of powers of operators
Guy Cohen, Christophe Cuny, Tanja Eisner +1
Following Bermúdez et al. (ArXiv: 1706.03638v1), we study the rate of growth of the norms of the powers of a linear operator, under various resolvent conditions or Cesà ro bounded…
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications
Baohua Sun, Lin Yang, Michael Lin +4
Power-efficient CNN Domain Specific Accelerator (CNN-DSA) chips are currently available for wide use in mobile devices. These chips are mainly used in computer vision applications.…
Miniature Robot Path Planning for Bridge Inspection: Min-Max Cycle Cover-Based Approach
Michael Lin, Richard J. La
We study the problem of planning the deployments of a group of mobile robots. While the problem and formulation can be used for many different problems, here we use a bridge inspec…