Jingxuan He

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

Known people with the same name:

Bibliography

2025
PoseGen: In-Context LoRA Finetuning for Pose-Controllable Long Human Video Generation.
CoRR, August, 2025

CyberGym: Evaluating AI Agents' Cybersecurity Capabilities with Real-World Vulnerabilities at Scale.
CoRR, June, 2025

Mind the Gap: A Practical Attack on GGUF Quantization.
CoRR, May, 2025

VERINA: Benchmarking Verifiable Code Generation.
CoRR, May, 2025

Progent: Programmable Privilege Control for LLM Agents.
CoRR, April, 2025

Reasoning Models Can Be Effective Without Thinking.
CoRR, April, 2025

BaxBench: Can LLMs Generate Correct and Secure Backends?
CoRR, February, 2025

Type-Constrained Code Generation with Language Models.
Proc. ACM Program. Lang., 2025

Efficient Skyline Frequent-Utility Itemset Mining Algorithm on Massive Data (Extended abstract).
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Efficient Skyline Frequent-Utility Itemset Mining Algorithm on Massive Data.
IEEE Trans. Knowl. Data Eng., July, 2024

Machine Learning for Code: Security and Reliability.
PhD thesis, 2024

Formal Mathematical Reasoning: A New Frontier in AI.
CoRR, 2024

Practical Attacks against Black-box Code Completion Engines.
CoRR, 2024

Code Agents are State of the Art Software Testers.
CoRR, 2024

SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Auxiliary Diagnosis of Coronary Heart Disease Based on Tongue Features.
Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science, 2024

Instruction Tuning for Secure Code Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Fast and Stable Detection Scheme of Point of Common Coupling Voltage for Renewable Energy Systems Tied to Distortion Grids.
IEEE Trans. Ind. Informatics, July, 2023

Controlling Large Language Models to Generate Secure and Vulnerable Code.
CoRR, 2023

Large Language Models for Code: Security Hardening and Adversarial Testing.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Efficient high-utility occupancy itemset mining algorithm on massive data.
Expert Syst. Appl., 2022

Efficient Skyline Computation on Massive Incomplete Data.
Data Sci. Eng., 2022

On Distribution Shift in Learning-based Bug Detectors.
Proceedings of the International Conference on Machine Learning, 2022

2021
Learning to find naming issues with big code and small supervision.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning to Explore Paths for Symbolic Execution.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
Learning fast and precise numerical analysis.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

2019
Research on Ultrasonic Positioning Algorithm.
Proceedings of the 8th International Conference on Software and Computer Applications, 2019

A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment.
Proceedings of the Intelligent Computing Theories and Application, 2019

Learning to Fuzz from Symbolic Execution with Application to Smart Contracts.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Debin: Predicting Debug Information in Stripped Binaries.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018


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