Deep generative model for protein subcellular localization prediction. - Guo-Hua Yuan; Jinzhe Li; Zejun Yang; Yao-Qi Chen; Zhonghang Yuan; Tao Chen 003; Wanli Ouyang; Nanqing Dong; Li Yang (Briefings Bioinform., 2024)

AMter: An end-to-end model for transcriptional terminators prediction by extracting semantic feature automatically based on attention mechanism. - Haotian Zhang; Jinzhe Li; Fang Hu; Haobo Lin; Jiali Ma (Concurr. Comput. Pract. Exp., 2024)

Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. - Dingning Liu; Jinzhe Li; Haoyang Su; Bei Cui; Zhihui Wang; Qingbo Yuan; Wanli Ouyang; Nanqing Dong (AAAI, 2025)

StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following. - Jinnan Li; Jinzhe Li; Yue Wang; Yi Chang; Yuan Wu (ACL (Findings), 2025)

Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. - Haoyang Su; Renqi Chen; Shixiang Tang; Zhenfei Yin; Xinzhe Zheng 001; Jinzhe Li; Biqing Qi; Qi Wu; Hui Li 037; Wanli Ouyang; Philip Torr 001; Bowen Zhou 002; et al. (ACL (1), 2025)

Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. - Dingning Liu; Jinzhe Li; Haoyang Su; Bei Cui; Zhihui Wang 001; Qingbo Yuan; Wanli Ouyang; Nanqing Dong (CoRR, 2025)

AlignRAG: An Adaptable Framework for Resolving Misalignments in Retrieval-Aware Reasoning of RAG. - Jiaqi Wei; Hao Zhou 012; Xiang Zhang 011; Di Zhang; Zijie Qiu; Wei Wei; Jinzhe Li; Wanli Ouyang; Siqi Sun (CoRR, 2025)

JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning. - Zhaolu Kang; Hongtian Cai; Xiangyang Ji; Jinzhe Li; Nanfei Gu (CoRR, 2025)

Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation. - Chuyuan Wei; Baojie Yuan; Chuanhao Hu; Jinzhe Li; Chang-Dong Wang 001; Mohsen Guizani (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation. - Zihong Chen; Wanli Jiang; Jinzhe Li; Zhonghang Yuan; Huanjun Kong; Wanli Ouyang; Nanqing Dong (CoRR, 2025)

Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models. - Jinzhe Li; Gengxu Li; Yi Chang; Yuan Wu (CoRR, 2025)

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs. - Xinzhe Zheng 001; Hao Du; Fanding Xu; Jinzhe Li; Zhiyuan Liu 001; Wenkang Wang; Tao Chen 003; Wanli Ouyang; Stan Z. Li; Yan Lu 001; Nanqing Dong; Yang Zhang (CoRR, 2025)

Refining Critical Thinking in LLM Code Generation: A Faulty Premise-based Evaluation Framework. - Jialin Li; Jinzhe Li; Gengxu Li; Yi Chang; Yuan Wu (CoRR, 2025)

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability. - Haiqi Yang; Jinzhe Li; Gengxu Li; Yi Chang; Yuan Wu (CoRR, 2025)

Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning. - Jinzhe Li (Int. J. Comput. Intell. Syst., 2025)