Yulun Wu

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

Known people with the same name:

Bibliography

2026
Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs.
CoRR, April, 2026

Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer.
CoRR, March, 2026

TimeSqueeze: Dynamic Patching for Efficient Time Series Forecasting.
CoRR, March, 2026

Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction.
CoRR, March, 2026

P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads.
CoRR, February, 2026

FreeOrbit4D: Training-Free Arbitrary Camera Redirection for Monocular Videos via Geometry-Complete 4D Reconstruction.
CoRR, January, 2026

PersonaLedger: Generating Realistic Financial Transactions with Persona Conditioned LLMs and Rule Grounded Feedback.
CoRR, January, 2026

2025
Evaluating Parameter Efficient Methods for RLVR.
CoRR, December, 2025

P1: Mastering Physics Olympiads with Reinforcement Learning.
CoRR, November, 2025

AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs.
CoRR, November, 2025

Bridging the Divide: End-to-End Sequence-Graph Learning.
CoRR, October, 2025

Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features.
CoRR, October, 2025

Provably Robust Adaptation for Language-Empowered Foundation Models.
CoRR, October, 2025

Trace Sampling 2.0: Code Knowledge Enhanced Span-level Sampling for Distributed Tracing.
CoRR, September, 2025

HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
CoRR, September, 2025

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.
CoRR, June, 2025

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks.
CoRR, March, 2025

Multi-fidelity physics-informed convolutional neural network for heat map prediction of battery packs.
Reliab. Eng. Syst. Saf., 2025

FCAT: Federated causal adversarial training.
Knowl. Based Syst., 2025

Perishable inventory control with backlogging penalties: A mixed-integer linear programming model via two-step approximation.
Comput. Oper. Res., 2025

A survey of security threats in federated learning.
Complex Intell. Syst., 2025

Global trends in endometrial cancer and metabolic syndrome research: A bibliometric and visualization analysis.
Comput. Biol. Medicine, 2025

Unsupervised Multi-channel Speech Dereverberation via Diffusion.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2025

COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Counterfactual Generative Modeling with Variational Causal Inference.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms.
Proceedings of the 2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

2024
RDAT: an efficient regularized decoupled adversarial training mechanism.
Int. J. Multim. Inf. Retr., June, 2024

Label-free evaluation of lung and heart transplant biopsies using virtual staining.
CoRR, 2024

OSVAuto: semi-automatic verifier for functional specifications of operating systems.
CoRR, 2024

Boosting adversarial robustness via feature refinement, suppression, and alignment.
Complex Intell. Syst., 2024

Effective Vulnerable Function Identification based on CVE Description Empowered by Large Language Models.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Streaming Piano Transcription Based on Consistent Onset and Offset Decoding With Sustain Pedal Detection.
Proceedings of the 25th International Society for Music Information Retrieval Conference, 2024

Global Delineation of Optically Shallow and Optically Deep Water Using Machine Learning.
Proceedings of the IGARSS 2024, 2024

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cycle Frequency-Harmonic-Time Transformer for Note-Level Singing Voice Transcription.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Boosting Adversarial Robustness Distillation Via Hybrid Decomposed Knowledge.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections.
Adv. Eng. Informatics, August, 2023

Advancing Transformer's Capabilities in Commonsense Reasoning.
CoRR, 2023

Solving SMT over Non-linear Real Arithmetic via Numerical Sampling and Symbolic Verification.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

Dynamic PBFT with Active Removal.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

A Tool That Calculates The Sea-Surface Reflectance Factor In Customized Environments And Geometry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Research on the Status and Performance of Enterprise Environmental Protection Investment in Metallurgical Industry: Based on the Case of Baosteel.
Proceedings of the 2023 6th International Conference on Software Engineering and Information Management, 2023

Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Variational Causal Inference.
CoRR, 2022

Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Towards a high robust neural network via feature matching.
Int. J. Multim. Inf. Retr., 2021

AGTAR: A novel approach for transcriptome assembly and abundance estimation using an adapted genetic algorithm from RNA-seq data.
Comput. Biol. Medicine, 2021

DCA-CLA: A scRNA-seq Classification Framework based on Deep Count Autoencoder.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A switched-capacitor power converter with unequal duty cycle for ripple reduction and efficiency improvement.
Microelectron. J., 2020

AAE-SC: A scRNA-Seq Clustering Framework Based on Adversarial Autoencoder.
IEEE Access, 2020

A Mixed-integer Programming Approach to Group Control of Elevator Systems with Destination Hall Call Registration.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2020

2019
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection.
CoRR, 2019

Parameter Free Clustering Algorithm Based on Density and Natural Nearest Neighbor.
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2016
Electromyography based handwriting recognition system using LM-BP Neural Network.
Proceedings of the 9th International Conference on Human System Interactions, 2016


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