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Jingxuan He
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2020 – today
- 2024
- [b1]Jingxuan He:
Machine Learning for Code: Security and Reliability. ETH Zurich, Zürich, Switzerland, 2024 - [j5]Jingxuan He
, Xixian Han
Efficient Skyline Frequent-Utility Itemset Mining Algorithm on Massive Data. IEEE Trans. Knowl. Data Eng. 36(7): 3009-3023 (2024) - [c17]Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song:
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. AAAI 2024: 2085-2093 - [c16]Niels Mündler, Jingxuan He, Slobodan Jenko, Martin T. Vechev:
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation. ICLR 2024 - [c15]Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin T. Vechev:
Instruction Tuning for Secure Code Generation. ICML 2024 - [c14]Jiyang Li
LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. ACM Multimedia 2024: 476-485 - [c13]Fangwen Wu, Jingxuan He, Yufei Yin, Yanbin Hao, Gang Huang, Lechao Cheng:
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation. WACV 2024: 851-860 - [i12]Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin T. Vechev:
Instruction Tuning for Secure Code Generation. CoRR abs/2402.09497 (2024) - [i11]Jiyang Li, Lechao Cheng, Zhangye Wang, Tingting Mu, Jingxuan He:
LoopGaussian: Creating 3D Cinemagraph with Multi-view Images via Eulerian Motion Field. CoRR abs/2404.08966 (2024) - [i10]Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin T. Vechev:
Exploiting LLM Quantization. CoRR abs/2405.18137 (2024) - [i9]Niels Mündler, Mark Niklas Müller, Jingxuan He, Martin T. Vechev:
Code Agents are State of the Art Software Testers. CoRR abs/2406.12952 (2024) - [i8]Slobodan Jenko, Jingxuan He, Niels Mündler, Mark Vero, Martin T. Vechev:
Practical Attacks against Black-box Code Completion Engines. CoRR abs/2408.02509 (2024) - 2023
- [j4]Liancheng Xiu
Fast and Stable Detection Scheme of Point of Common Coupling Voltage for Renewable Energy Systems Tied to Distortion Grids. IEEE Trans. Ind. Informatics 19(7): 7876-7884 (2023) - [c12]Jingxuan He
Large Language Models for Code: Security Hardening and Adversarial Testing. CCS 2023: 1865-1879 - [c11]Zerun Liu, Fan Zhang, Jingxuan He, Jin Wang, Zhangye Wang, Lechao Cheng
Text-Guided Mask-Free Local Image Retouching. ICME 2023: 2783-2788 - [i7]Jingxuan He, Martin T. Vechev:
Controlling Large Language Models to Generate Secure and Vulnerable Code. CoRR abs/2302.05319 (2023) - [i6]Jingxuan He, Lechao Cheng
Mitigating Undisciplined Over-Smoothing in Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2305.03112 (2023) - [i5]Fangwen Wu, Jingxuan He, Lechao Cheng
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation. CoRR abs/2305.08491 (2023) - [i4]Niels Mündler, Jingxuan He, Slobodan Jenko, Martin T. Vechev:
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation. CoRR abs/2305.15852 (2023) - [i3]Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song:
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation. CoRR abs/2312.08916 (2023) - 2022
- [j3]Jingxuan He
Efficient Skyline Computation on Massive Incomplete Data. Data Sci. Eng. 7(2): 102-119 (2022) - [j2]Jingxuan He
Efficient high-utility occupancy itemset mining algorithm on massive data. Expert Syst. Appl. 210: 118329 (2022) - [c10]Jingxuan He, Luca Beurer-Kellner, Martin T. Vechev:
On Distribution Shift in Learning-based Bug Detectors. ICML 2022: 8559-8580 - [d1]Charl A. P. Linssen
NESTML 5.1.0. Zenodo, 2022 - [i2]Jingxuan He, Luca Beurer-Kellner, Martin T. Vechev:
On Distribution Shift in Learning-based Bug Detectors. CoRR abs/2204.10049 (2022) - [i1]Zerun Liu, Fan Zhang, Jingxuan He, Jin Wang, Zhangye Wang, Lechao Cheng
Text-guided mask-free local image retouching. CoRR abs/2212.07603 (2022) - 2021
- [c9]Jingxuan He
Learning to Explore Paths for Symbolic Execution. CCS 2021: 2526-2540 - [c8]Berkay Berabi, Jingxuan He, Veselin Raychev, Martin T. Vechev:
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer. ICML 2021: 780-791 - [c7]Jingxuan He
Learning to find naming issues with big code and small supervision. PLDI 2021: 296-311 - 2020
- [c6]Jingxuan He
Learning fast and precise numerical analysis. PLDI 2020: 1112-1127
2010 – 2019
- 2019
- [c5]Jingxuan He
Learning to Fuzz from Symbolic Execution with Application to Smart Contracts. CCS 2019: 531-548 - [c4]Yanlian Du, Jingxuan He
A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment. ICIC (2) 2019: 13-25 - [c3]Jingxuan He
Research on Ultrasonic Positioning Algorithm. ICSCA 2019: 574-578 - 2018
- [c2]Jingxuan He
Debin: Predicting Debug Information in Stripped Binaries. CCS 2018: 1667-1680 - 2017
- [j1]Wei Chen, Junhua Lu
GameLifeVis: visual analysis of behavior evolutions in multiplayer online games. J. Vis. 20(3): 651-665 (2017) - 2016
- [c1]Zhiqi Liu, Yandi Shen, Junhua Lu, Dingke Kong, Yinyin Chen, Jingxuan He, Shu Liu, Ye Qi, Wei Chen:
Visual Exploration of Virtual Lives in Multiplayer Online Games. Edutainment 2016: 3-14
Coauthor Index
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last updated on 2024-11-11 22:27 CET by the dblp team
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