MDPeQA: A Pediatric Question Answering System Based on Multiple Data Sources. - Junzhuo Li; Hongying Zan; Yingjie Yan; Kunli Zhang (CLSW, 2020)

KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base. - Junzhuo Li; Deyi Xiong (ACL (1), 2022)

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework. - Junzhuo Li; Xinwei Wu 001; Weilong Dong; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (CoRR, 2022)

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks. - Weilong Dong; Xinwei Wu 001; Junzhuo Li; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (CoRR, 2022)

Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports. - Chuang Liu 009; Junzhuo Li; Deyi Xiong (ACL (industry), 2023)

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. - Xinwei Wu 001; Junzhuo Li; Minghui Xu; Weilong Dong; Shuangzhi Wu; Chao Bian 006; Deyi Xiong (EMNLP, 2023)

Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? - Shaoyang Xu; Junzhuo Li; Deyi Xiong (EMNLP, 2023)

Urban Resident Travel Survey Method Based on Cellular Signaling Data. - Junzhuo Li; Wenyong Li; Guan Lian (ISPRS Int. J. Geo Inf., 2023)

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. - Chen Yang; Junzhuo Li; Xinyao Niu; Xinrun Du; Songyang Gao; Haoran Zhang; Zhaoliang Chen; Xingwei Qu; Ruibin Yuan; Yizhi Li; Jiaheng Liu; Stephen W. Huang; et al. (CoRR, 2024)

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models. - Yanggan Gu; Junzhuo Li; Sirui Huang; Xin Zou 001; Zhenghua Li; Xuming Hu (ACL (Findings), 2025)

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis. - Junzhuo Li; Bo Wang; Xiuze Zhou; Peijie Jiang; Jia Liu; Xuming Hu (ACL (1), 2025)

Exploring Engineering Undergraduate's Critical Thinking Patterns in AI-Enhanced Learning: A TCSA Method. - Dongchen Pan; Taotao Long; Xiaomeng Zhu; Junzhuo Li (ICBL, 2025)

Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs. - Zhipeng Yang; Junzhuo Li; Siyu Xia; Xuming Hu (CoRR, 2025)

LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning. - Junyu Chen; Junzhuo Li; Zhen Peng; Wenjie Wang; Yuxiang Ren; Long Shi; Xuming Hu (CoRR, 2025)

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities. - Junyan Zhang; Yubo Gao; Yibo Yan; Jungang Li; Zhaorui Hou; Sicheng Tao; Shuliang Liu; Song Dai; Yonghua Hei; Junzhuo Li; Xuming Hu (CoRR, 2025)