Jinzhe Li

According to our database, Jinzhe Li authored at least 19 papers between 2024 and 2026.

Collaborative distances:

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

2026

An entropy-weighted multi-objective scheduling strategy based on hybrid workflows construction in cloud.

Hui Zhao, Ran Zhao, Jinzhe Li, Jing Wang

J. Syst. Archit., 2026

Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive Domains.

Zhonghang Yuan, Zhefan Wang, Fang Hu, Zihong Chen, Jinzhe Li, Gang Li, Jie Ying, Huanjun Kong, Songyang Zhang, Nanqing Dong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning.

Jinzhe Li

Int. J. Comput. Intell. Syst., December, 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, August, 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, August, 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, May, 2025

Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation.

Chuyuan Wei, Baojie Yuan, Chuanhao Hu, Jinzhe Li, Chang-Dong Wang, Mohsen Guizani

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

AlignRAG: An Adaptable Framework for Resolving Misalignments in Retrieval-Aware Reasoning of RAG.

Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Wei Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun

CoRR, April, 2025

Deep generative model for protein subcellular localization prediction.

Guo-Hua Yuan, Jinzhe Li, Zejun Yang, Yao-Qi Chen, Zhonghang Yuan, Tao Chen, Wanli Ouyang, Nanqing Dong, Li Yang

Briefings Bioinform., March, 2025

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

CoRR, February, 2025

Energy and Makespan Bi-Objective Optimization for UAV-Assisted MEC Task Offloading.

Hui Zhao, Xiaoqin Lu, Jinzhe Li, Jing Wang, Quan Wang

IEEE Internet Things J., 2025

PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs.

Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, Wenkang Wang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LEGO+: Redefining the Redundancy Removal for IoT Sensing Edge-End Systems.

Chong Zhang, Han Wang, Qianhe Meng, Yize Zhao, Yihang Song, Kanglin Xu, Jinzhe Li, Li Lu

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning.

Zhaolu Kang, Hongtian Cai, Xiangyang Ji, Jinzhe Li, Nanfei Gu

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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, Jinzhe Li, Biqing Qi, Qi Wu, Hui Li, Wanli Ouyang, Philip Torr, Bowen Zhou, Nanqing Dong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following.

Jinnan Li, Jinzhe Li, Yue Wang, Yi Chang, Yuan Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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., June, 2024