Lionel Z. Wang

According to our database, Lionel Z. Wang authored at least 18 papers between 2024 and 2026.

Collaborative distances:

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

2026

Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs.

Jianan Li, Simeng Qin, Xiaojun Jia, Lionel Z. Wang, Tianhang Zheng, Xiaoshuang Jia, Yang Liu, Xiaochun Cao

CoRR, May, 2026

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering.

Jiachen Zhu, Zhuoying Ou, Congmin Zheng, Yuxiang Chen, Zeyu Zheng, Rong Shan, Lingyu Yang, Lionel Z. Wang, Weiwen Liu, Yong Yu, Weinan Zhang, Jianghao Lin

CoRR, May, 2026

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation.

Tianfei Ren, Zhipeng Yan, Yiming Zhao, Zhen Fang, Yu Zeng, Guohui Zhang, Hang Xu, Xiaoxiao Ma, Shiting Huang, Ke Xu, Wenxuan Huang, Lionel Z. Wang, Lin Chen, Zehui Chen, Jie Huang, Feng Zhao

CoRR, May, 2026

DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles.

Yiming Ma, Hongkun Yang, Lionel Z. Wang, Bin Chen, Weizhi Xian, Jianzhi Teng

CoRR, March, 2026

IMMACULATE: A Practical LLM Auditing Framework via Verifiable Computation.

Yanpei Guo, Wenjie Qu, Linyu Wu, Shengfang Zhai, Lionel Z. Wang, Ming Xu, Yue Liu, Binhang Yuan, Dawn Song, Jiaheng Zhang

CoRR, February, 2026

How Implicit Bias Accumulates and Propagates in LLM Long-term Memory.

Yiming Ma, Lixu Wang, Lionel Z. Wang, Hongkun Yang, Haoming Sun, Xin Xu, Jiaqi Wu, Bin Chen, Wei Dong

CoRR, February, 2026

DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitization.

Lionel Z. Wang, Yusheng Zhao, Jiabin Luo, Xinfeng Li, Lixu Wang, Yinan Peng, Haoyang Li, XiaoFeng Wang, Wei Dong

CoRR, January, 2026

AppellateGen: A Benchmark for Appellate Legal Judgment Generation.

Hongkun Yang, Lionel Z. Wang, Wei Fan, Yiran Hu, Lixu Wang, Chenyu Liu, Shenghong Fu, Haoyang Li, Xin Xu, Jiexin Zheng, Wei Dong

CoRR, January, 2026

MegaFake: A theory-driven dataset of fake news generated by large language models.

Lionel Z. Wang, Ka Chung Ng, Yiming Ma, Wenqi Fan

Decis. Support Syst., 2026

JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human risky health behavior Content in Jirai Community.

Yunze Xiao, Tingyu He, Lionel Z. Wang, Yiming Ma, Xingyu Song, Xiaohang Xu, Mona T. Diab, Irene Li, Ka Chung Ng

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

SugarTextNet: A Transformer-Based Framework for Detecting Sugar Dating-Related Content on Social Media with Context-Aware Focal Loss.

Lionel Z. Wang, Shihan Ben, Yulu Huang, Simeng Qin

CoRR, November, 2025

Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification.

Yujia Su, Xinjie Li, Lionel Z. Wang

CoRR, April, 2025

JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community.

Yunze Xiao, Tingyu He, Lionel Z. Wang, Yiming Ma, Xingyu Song, Xiaohang Xu, Irene Li, Ka Chung Ng

CoRR, March, 2025

Unveiling Market Insights by Deciphering CEO Interview Videos.

Zhoudao Lu, Lionel Z. Wang, Ka Chung Boris Ng, Jingran Zhao

Proceedings of the 46th International Conference on Information Systems, 2025

DiffBody: Human Body Image Restoration with Generative Diffusion Prior.

Yiming Zhang, Lionel Z. Wang, Sizhuo Ma, Xinjie Li, Jian Ren, Zhihang Zhong, Jian Wang

Proceedings of the IEEE International Conference on Computational Photography, 2025

Detecting Drug Overdose on Social Media Using a Multi-Task Deep Learning Framework.

Lionel Z. Wang, Tingyu He, Ka Chung Boris Ng, Michael Chau

Proceedings of the 31st Americas Conference on Information Systems: Intelligent Technologies for a Better Future, 2025

2024

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models.

Lionel Z. Wang, Yiming Ma, Renfei Gao, Beichen Guo, Zhuoran Li, Han Zhu, Wenqi Fan, Zexin Lu, Ka Chung Ng

CoRR, 2024

EllipBench: A Large-scale Benchmark for Machine-learning based Ellipsometry Modeling.

Yiming Ma, Xinjie Li, Xin Sun, Zhiyong Wang, Lionel Z. Wang

CoRR, 2024