Zhouxing Shi

Orcid: 0009-0004-5993-6361

According to our database1, Zhouxing Shi authored at least 32 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero.
CoRR, May, 2026

Talking with Verifiers: Automatic Specification Generation for Neural Network Verification.
CoRR, March, 2026

PII-VisBench: Evaluating Personally Identifiable Information Safety in Vision Language Models Along a Continuum of Visibility.
CoRR, January, 2026

From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Bridging Efficiency and Safety: Formal Verification of Neural Networks with Early Exits.
CoRR, December, 2025

PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from Scratch.
CoRR, October, 2025

SoundnessBench: A Soundness Benchmark for Neural Network Verifiers.
Trans. Mach. Learn. Res., 2025

Neural Network Verification with Branch-and-Bound for General Nonlinearities.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2025

2024
Red Teaming Language Model Detectors with Language Models.
Trans. Assoc. Comput. Linguistics, 2024

Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples.
CoRR, 2024

Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control.
CoRR, 2024

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification.
CoRR, 2024

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Defending LLMs against Jailbreaking Attacks via Backtranslation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Improving the Generation Quality of Watermarked Large Language Models via Word Importance Scoring.
CoRR, 2023

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Robustness Certification Against Universal Perturbations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
On the Adversarial Robustness of Vision Transformers.
Trans. Mach. Learn. Res., 2022

Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Convergence of Certified Robust Training with Interval Bound Propagation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Text CAPTCHAs Using Adversarial Examples.
Proceedings of the IEEE International Conference on Big Data, 2022

On the Sensitivity and Stability of Model Interpretations in NLP.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
On the Faithfulness Measurements for Model Interpretations.
CoRR, 2021

Fast Certified Robust Training via Better Initialization and Shorter Warmup.
CoRR, 2021

On the Adversarial Robustness of Visual Transformers.
CoRR, 2021

Fast Certified Robust Training with Short Warmup.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Knowledge-Aided Open-Domain Question Answering.
CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.
CoRR, 2020

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robustness Verification for Transformers.
Proceedings of the 8th International Conference on Learning Representations, 2020

Robustness to Modification with Shared Words in Paraphrase Identification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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