Learning From Other Labels: Leveraging Enhanced Mixup and Transfer Learning for Twitter Sentiment Analysis. - Quansen Wang (ICTAI, 2021)

Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness. - Bo Li 099; Gexiang Fang; Yang Yang 006; Quansen Wang; Wei Ye 004; Wen Zhao; Shikun Zhang (CoRR, 2023)

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks. - Bo Li 099; Wei Ye 004; Quansen Wang; Wen Zhao; Shikun Zhang (AAAI, 2024)

Varying Sentence Representations via Condition-Specified Routers. - Ziyong Lin; Quansen Wang; Zixia Jia; Zilong Zheng (EMNLP, 2024)

Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective. - Yipeng Kang; Junqi Wang; Yexin Li; Mengmeng Wang; Wenming Tu; Quansen Wang; Hengli Li; Tingjun Wu; Xue Feng; Fangwei Zhong; Zilong Zheng (ACL (Findings), 2025)

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection. - Jiaqi Li; Xinyi Dong; Yang Liu 266; Zhizhuo Yang; Quansen Wang; Xiaobo Wang; Song-Chun Zhu; Zixia Jia; Zilong Zheng (ACL (Findings), 2025)

A Comprehensive Inductance-Aware Modeling Approach to Power Distribution Network in Heterogeneous 3D Integrated Circuits. - Quansen Wang; Vasilis F. Pavlidis; Yuanqing Cheng (DATE, 2025)

Inductive Effect-Aware Power Distribution Network Modeling and Analysis for Heterogeneous 3D Integrated Circuits. - Quansen Wang; Vasilis F. Pavlidis; Xuning Feng; Rui Wang; Wei Zhang; Yuanqing Cheng (ISVLSI, 2025)

Causal Graph Guided Steering of LLM Values via Prompts and Sparse Autoencoders. - Yipeng Kang; Junqi Wang; Yexin Li; Fangwei Zhong; Xue Feng; Mengmeng Wang; Wenming Tu; Quansen Wang; Hengli Li; Zilong Zheng (CoRR, 2025)