Chengshuai Zhao

According to our database, Chengshuai Zhao authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading.

Chengshuai Zhao, Fan Zhang, Kumar Satvik Chaudhary, Yiwen Li, Lo Pang-Yun Ting, Ying-Chih Chen, Huan Liu

CoRR, May, 2026

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model.

Chengshuai Zhao, Zhen Tan, Dawei Li, Zhiyuan Yu, Huan Liu

CoRR, May, 2026

Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion.

Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu

CoRR, March, 2026

Causality Guided Representation Learning for Cross-Style Hate Speech Detection.

Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Selçuk Candan, Huan Liu

Proceedings of the ACM Web Conference 2026, 2026

CAMO: Causality-Guided Adversarial Multimodal DOmain Generalization for Crisis Classification.

Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

EssayCBM: Rubric-Aligned Concept Bottleneck Models for Transparent Essay Grading.

Kumar Satvik Chaudhary, Chengshuai Zhao, Fan Zhang, Yung Hin Tse, Garima Agrawal, Yuli Deng, Huan Liu

CoRR, December, 2025

Who's Your Judge? On the Detectability of LLM-Generated Judgments.

Dawei Li, Zhen Tan, Chengshuai Zhao, Bohan Jiang, Baixiang Huang, Pingchuan Ma, Abdullah Alnaibari, Kai Shu, Huan Liu

CoRR, September, 2025

Are Today's LLMs Ready to Explain Well-Being Concepts?

Bohan Jiang, Dawei Li, Zhen Tan, Chengshuai Zhao, Huan Liu

CoRR, August, 2025

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens.

Chengshuai Zhao, Zhen Tan, Pingchuan Ma, Dawei Li, Bohan Jiang, Yancheng Wang, Yingzhen Yang, Huan Liu

CoRR, August, 2025

Beyond RAG: Reinforced Reasoning Augmented Generation for Clinical Notes.

Lo Pang-Yun Ting, Chengshuai Zhao, Yu-Hua Zeng, Yuan Jee Lim, Kun-Ta Chuang

CoRR, June, 2025

CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation.

Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Yuli Deng, Ying-Chih Chen, Huan Liu

CoRR, April, 2025

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.

Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education.

Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, Huan Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education.

Chengshuai Zhao, Garima Agrawal, Fan Zhang, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2025

SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention.

Chengshuai Zhao, Zhen Tan, Chau-Wai Wong, Xinyan Zhao, Tianlong Chen, Huan Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education.

Chengshuai Zhao, Garima Agrawal, Tharindu Kumarage, Zhen Tan, Yuli Deng, Ying-Chih Chen, Huan Liu

CoRR, 2024

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative.

Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu

CoRR, 2024

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.

Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu

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

Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models.

Bohan Jiang, Chengshuai Zhao, Zhen Tan, Huan Liu

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

2023

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules.

Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Non-intrusive Speech Quality Assessment with a Multi-Task Learning based Subband Adaptive Attention Temporal Convolutional Neural Network.

Xiaofeng Shu, Yanjie Chen, Chuxiang Shang, Yan Zhao, Chengshuai Zhao, Yehang Zhu, Chuanzeng Huang, Yuxuan Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction.

Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021