Sun, Lichao

A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

Zhou, C., Li, Q., Li, C., Yu, J., Liu, Y., Wang, G., Zhang, K., Ji, C., Yan, Q., He, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

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Privacy and Robustness in Federated Learning: Attacks and Defenses

Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

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A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

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A generalist vision-language foundation model for diverse biomedical tasks

Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

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Prompt Engineering for Healthcare: Methodologies and Applications

Wang, J., Shi, E., Yu, S., Wu, Z., Ma, C., Dai, H., Yang, Q., Kang, Y., Wu, J., Hu, H., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

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Optimization-based Prompt Injection Attack to LLM-as-a-Judge

Shi, J., Yuan, Z., Liu, Y., Huang, Y., Zhou, P., Sun, L., & Gong, N. Z. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningTopic Modeling

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You see what I want you to see: poisoning vulnerabilities in neural code search

Wan, Y., Zhang, S., Zhang, H., Sui, Y., Xu, G., Yao, D., Jin, H., & Sun, L. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchAdversarial Robustness in Machine Learning

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GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations

Duan, J., Zhang, R., Diffenderfer, J., Kailkhura, B., Sun, L., Stengel-Eskin, E., Bansal, M., Chen, T., & Xu, K. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in GamesGame Theory and Applications

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MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming

Li, Y., Sun, L., & Zhang, Y. (2023) · arXiv

Multi-Agent Systems and NegotiationEthics and Social Impacts of AI

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BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Shi, J., Liu, Y., Zhou, P., & Sun, L. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

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LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

Zhang, Q., Gao, C., Chen, D., Huang, Y., Huang, Y., Sun, Z., Zhang, S., Li, W., Fu, Z., Wan, Y., et al. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Authorship Attribution and ProfilingNatural Language Processing Techniques

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Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs

Tie, G., Yuan, Z., Zhao, Z., Hu, C., Gu, T., Zhang, R., Zhang, S., Wu, J., Tu, X., Jin, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

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DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Cui, Y., Ren, J., Xu, H., He, P., Liu, H., Sun, L., Xing, Y., & Tang, J. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

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Mora: Enabling Generalist Video Generation via A Multi-Agent Framework

Yuan, Z., Liu, Y., Cao, Y., Sun, W., Jia, H., Chen, R., Li, Z., Lin, B., Yuan, L., He, L., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

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Evaluating Large Language Models with Psychometrics . -

Li, Y., Huang, Y., Wang, H., Cheng, Y., Zhang, X., Zou, J., & Sun, L. (2024) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

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MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Huang, Y., Shi, J., Li, Y., Fan, C., Wu, S., Zhang, Q., Liu, Y., Zhou, P., Wan, Y., Gong, N. Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

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MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Chen, D., Chen, R., Zhang, S., Liu, Y., Wang, Y., Zhou, H., Zhang, Q., Wan, Y., Zhou, P., & Sun, L. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

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Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments

Huang, S., Hu, J., Chen, H., Cui, P., Piao, H., Sun, L., & Yang, B. (2025) · IEEE Transactions on Industrial Informatics

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

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GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

Duan, J., Zhang, R., Diffenderfer, J., Kailkhura, B., Sun, L., Stengel-Eskin, E., Bansal, M., Chen, T., & Xu, K. (2024) · arXiv

Artificial Intelligence in GamesTopic Modeling

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LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

Zhang, Q., Gao, C., Chen, D., Huang, Y., Huang, Y., Sun, Z., Zhang, S., Li, W., Fu, Z., Wan, Y., et al. (2024) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

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LiveMedBench: A Contamination-Limited Medical Benchmark for LLMs with Automated Rubric Evaluation

Yan, Z., Song, D., Fang, Z., Ji, Y., Li, X., Li, Q., & Sun, L. (2026) · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

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