Jason Li

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

Bibliography

2026
Balancing Weights, Directed Sparsification, and Augmenting Paths.
CoRR, April, 2026

Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis.
CoRR, March, 2026

Recover to Predict: Progressive Retrospective Learning for Variable-Length Trajectory Prediction.
CoRR, March, 2026

Superman: Unifying Skeleton and Vision for Human Motion Perception and Generation.
CoRR, February, 2026

Test-Time Confidence Quantification Using Q-Ensembles for Offline RL.
IEEE Access, 2026

Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
AirSim360: A Panoramic Simulation Platform within Drone View.
CoRR, December, 2025

Separator Theorem for Minor-Free Graphs in Linear Time.
CoRR, December, 2025

Rethinking Cross-Generator Image Forgery Detection through DINOv3.
CoRR, November, 2025

Deterministic Padded Decompositions and Negative-Weight Shortest Paths.
CoRR, November, 2025

RePainter: Empowering E-commerce Object Removal via Spatial-matting Reinforcement Learning.
CoRR, October, 2025

Dynamic-TreeRPO: Breaking the Independent Trajectory Bottleneck with Structured Sampling.
CoRR, September, 2025

Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?
CoRR, August, 2025

IntelliLung: Advancing Safe Mechanical Ventilation using Offline RL with Hybrid Actions and Clinically Aligned Rewards.
CoRR, June, 2025

Simpler and Faster Directed Low-Diameter Decompositions.
CoRR, May, 2025

zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training.
IEEE Trans. Inf. Forensics Secur., 2025

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach.
IEEE Access, 2025

Machine Learning Detection and Classification of Internal Radio Frequency Interference in Spire Global GNSS-RO Signals.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

ICU Mechanical Ventilation Data Imputation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2025

2024
Mechanistic Interpretability of Binary and Ternary Transformers.
CoRR, 2024

FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings.
Comput. Biol. Medicine, 2024

OneSparse: A Unified System for Multi-index Vector Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

META: Deep Learning Pipeline for Detecting Anomalies on Multimodal Vibration Sewage Treatment Plant Data.
Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

PraxiPaaS: A Decomposable Machine Learning System for Efficient Container Package Discovery.
Proceedings of the IEEE International Conference on Cloud Engineering, 2024

zkLLM: Zero Knowledge Proofs for Large Language Models.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Social Media is not a Health Proxy: Differences Between Social Media and Electronic Health Record Reports of Post-COVID Symptoms.
Proc. ACM Hum. Comput. Interact., April, 2023

Exploring Embeddings for Measuring Text Relatedness: Unveiling Sentiments and Relationships in Online Comments.
CoRR, 2023

AstroLLaMA: Towards Specialized Foundation Models in Astronomy.
CoRR, 2023

NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.
CoRR, 2023

Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders.
Proceedings of the IEEE International Conference on Cloud Engineering, 2023

2022
Creating spatially-detailed heterogeneous synthetic populations for agent-based microsimulation.
Comput. Environ. Urban Syst., 2022

Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task.
CoRR, 2022

Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework.
CoRR, 2022

Modeling Human Eye Movements with Neural Networks in a Maze-Solving Task.
Proceedings of The 1st Gaze Meets ML workshop, 2022

O(1) Steiner Point Removal in Series-Parallel Graphs.
Proceedings of the 30th Annual European Symposium on Algorithms, 2022

A Progress Report on DBOS: A Database-oriented Operating System.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

2021
Day-Night Monitoring of Volcanic SO2 and Ash Clouds for Aviation Avoidance at Northern Polar Latitudes.
Remote. Sens., 2021

Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning.
CoRR, 2021

Deterministic Mincut in Almost-Linear Time.
CoRR, 2021

Data Governance in a Database Operating System (DBOS).
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2021

2020
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV.
npj Digit. Medicine, 2020

A Lightweight Algorithm to Uncover Deep Relationships in Data Tables.
CoRR, 2020

Cycle Text-To-Image GAN with BERT.
CoRR, 2020

Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Planar Diameter via Metric Compression.
CoRR, 2019

Hanmoji: What Chinese Characters and Emoji Reveal About Each Other.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Scalable Machine Learning Algorithms for a Twitter Followee Recommender System.
Proceedings of the 2019 Spring Simulation Conference, 2019

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Deep Learning Inference Service at Microsoft.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Training Convolutional Neural Networks with Synthesized Data for Object Recognition in Industrial Manufacturing.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2018
Low Power Nanoscale Switching of VO2using Carbon Nanotube Heaters.
Proceedings of the 76th Device Research Conference, 2018

Evaluation of Photogrammetry for Use in Industrial Production Systems.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2004
Digital imaging and gridding of AIRS Visible/NIR data.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004


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