梁爽    Shuang Liang Ph.D. Student, LAMDA Group School of Intelligence Science and Technology National Key Laboratory for Novel Software Technology Nanjing University, Suzhou 215163, China Supervisor: Associate Professor Shao-Qun Zhang. Email: liangs{at}lamda{dot}nju{dot}edu{dot}cn [Google Scholar]

Biography

Currently I am a first year Ph.D. student of School of Intelligence Science and Technology in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I received my B.Sc. degree in Statistics from School of Mathematics, Sichuan University in June 2024. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University under the supervision of Associate Professor Shao-Qun Zhang.

Research Interests

My research interests mainly include topics in Machine Learning, especially Uncertainty Analysis, involving uncertainty quantification and optimization in

• Deep Neural Networks
• Large Language Models (LLMs), particularly uncertainty in reasoning
• LLM-driven Agents

Publications

Remark: * indicates equal contribution.

Manuscripts

• Shuang Liang, Xin-Yu Hu, Xiang-Jun Ou, and Shao-Qun Zhang. GUT: Quantifying and Optimizing the Reasoning Uncertainty of LLMs via Graph Complexity. 2026. [arXiv:2609.05284]
• Xiang-Jun Ou*, Shuang Liang*, Xin-Yu Hu, Rong-Hao Huang, Jing Wang, and Shao-Qun Zhang. The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models. 2026. [arXiv:2606.22792]
• Yong-Ming Tian, Shuang Liang, Feng-Lei Fan, and Shao-Qun Zhang. Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels. 2025. [arXiv:2511.05585]

Conferences

• Shuang Liang, Xun Lu, Zi-Ang Liu, Ming-Liang Wang, Yan Lyu, Shao-Qun Zhang. On the Impact of Weight Quantization on Deep Neural Network Uncertainty. In: Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI'26), pp. 23425-23432. 2026. [paper] [poster] [code] [bib]

Journals

• Yu-Lun Wu, Rui-Rui Tan, Shu-Hao Zhang, Shuang Liang, Zi-Ang Liu, Zhao Wang, and Shao-Qun Zhang. Ternary Quantization of Spiking Neural Networks. Frontiers of Computer Science (FCS), 21(2): 2102326-2102336, 2027. [paper][bib]

Academic Service

Conference Reviewers

• AAAI: 2026-

Seminar Organizers

• Group Seminar (Invitation-only; spring, 2026)

Awards & Honors

• 江苏省研究生科研创新计划项目, 《面向大语言模型的不确定性量化和优化研究》, 2025.

Teaching Assistant

• Probability and Statistics. (with Asst. Prof. Shao-Qun Zhang; for undergraduate students; fall, 2025)
• Probability and Statistics. (with Asst. Prof. Shao-Qun Zhang; for undergraduate students; fall, 2024)

Correspondence

Email: liangs{at}lamda{dot}nju{dot}edu{dot}cn

Institution: School of Intelligent Science and Technology, Nanjing University, Suzhou 215163, China

Address: Nanjing University Suzhou Campus, No. 1520 Taihu Avenue, Huqiu District, Suzhou 215163, China