We stand with Ukraine

We stand with Ukraine

Yingchun Wang

Orcid: 0009-0004-4115-1398

Affiliations:

Shanghai Artificial Intelligence Laboratory, Shanghai, China

According to our database¹, Yingchun Wang authored at least 42 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Towards Context-Invariant Safety Alignment for Large Language Models.

[DOI]

,

,

,

,

,

,

CoRR, May, 2026

Mechanistic Origin of Moral Indifference in Language Models.

[DOI]

,

,

CoRR, March, 2026

From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation.

[DOI]

,

,

,

,

,

,

,

,

CoRR, February, 2026

OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs.

[DOI]

,

,

,

,

,

,

,

,

,

CoRR, January, 2026

Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints.

[DOI]

,

,

,

,

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Probing the Safety Robustness of LLMs in Latent Space.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

The Other Mind: How Language Models Exhibit Human Temporal Cognition.

[DOI]

,

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs.

[DOI]

,

,

,

,

,

,

,

CoRR, November, 2025

SafeEvalAgent: Toward Agentic and Self-Evolving Safety Evaluation of LLMs.

[DOI]

,

,

,

,

,

,

CoRR, September, 2025

FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

CoRR, September, 2025

LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

CoRR, August, 2025

The Other Mind: How Language Models Exhibit Human Temporal Cognition.

[DOI]

,

,

,

,

,

CoRR, July, 2025

Probing the Robustness of Large Language Models Safety to Latent Perturbations.

[DOI]

,

,

,

,

,

,

,

,

,

CoRR, June, 2025

JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models.

[DOI]

,

,

,

,

,

,

CoRR, May, 2025

Possibilities and challenges in the moral growth of large language models: a philosophical perspective.

[DOI]

,

,

,

,

,

,

,

,

,

Ethics Inf. Technol., March, 2025

Temporally Masked Diffusion: An Effective Behavioral Cloning Method in Robot Action Sequence Generation.

[DOI]

,

,

,

Shuangshuang Han

,

,

IEEE Internet Things J., 2025

Collectivism and individualism political bias in large language models: A two-step approach.

[DOI]

,

,

,

,

Big Data Soc., 2025

SafeVid: Toward Safety Aligned Video Large Multimodal Models.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?

[DOI]

,

,

,

,

,

,

,

,

,

,

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Reflection-Bench: Evaluating Epistemic Agency in Large Language Models.

[DOI]

,

,

,

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data.

[DOI]

,

,

,

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Ideator: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HoneypotNet: Backdoor Attacks Against Model Extraction.

[DOI]

,

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision.

[DOI]

,

,

,

Sci. Eng. Ethics, June, 2024

Prerequisites for the Innovation Performance of Artificial Intelligence Laboratory: A Fuzzy-Set Qualitative Comparative Analysis.

[DOI]

,

IEEE Trans. Engineering Management, 2024

Estimating the Innovation Efficiency of the Artificial Intelligence Industry in China Based on the Three-Stage DEA Model.

[DOI]

,

,

,

IEEE Trans. Engineering Management, 2024

Reflection-Bench: probing AI intelligence with reflection.

[DOI]

,

,

,

,

,

,

CoRR, 2024

MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts.

[DOI]

,

,

,

,

,

,

CoRR, 2024

Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond.

[DOI]

,

,

,

,

,

,

,

,

,

CoRR, 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2024

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Fake Alignment: Are LLMs Really Aligned Well?

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Flames: Benchmarking Value Alignment of LLMs in Chinese.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Flames: Benchmarking Value Alignment of Chinese Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2023

2017

Parallel vehicles based on the ACP theory: Safe trips via self-driving.

[DOI]

Shuangshuang Han

,

,

,

,

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Memetic algorithm with adaptive local search for Capacitated Arc Routing Problem.

[DOI]

,

,

Shuangshuang Han

,

,

,

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Modified K-best receiver for multi-antenna vehicular networks.

[DOI]

Shuangshuang Han

,

,

,

,

,

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Relaying algorithm based on soft estimated information for cooperative V2X networks.

[DOI]

Shuangshuang Han

,

,

,

,

,

,

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Loading...