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Jinzhe Li
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2020 – today
- 2025
[j5]Guo-Hua Yuan
, Jinzhe Li, Zejun Yang, Yao-Qi Chen, Zhonghang Yuan, Tao Chen, Wanli Ouyang, Nanqing Dong, Li Yang
:
Deep generative model for protein subcellular localization prediction. Briefings Bioinform. 26(2) (2025)
[j4]Jinzhe Li:
Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning. Int. J. Comput. Intell. Syst. 18(1): 18 (2025)
[j3]Hui Zhao
, Xiaoqin Lu, Jinzhe Li, Jing Wang
, Quan Wang
:
Energy and Makespan Bi-Objective Optimization for UAV-Assisted MEC Task Offloading. IEEE Internet Things J. 12(22): 47745-47759 (2025)
[j2]Chuyuan Wei
, Baojie Yuan, Chuanhao Hu, Jinzhe Li, Chang-Dong Wang
, Mohsen Guizani
:
Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1990-2000 (2025)
[c5]Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong:
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. AAAI 2025: 28204-28212
[c4]Jinnan Li, Jinzhe Li, Yue Wang, Yi Chang, Yuan Wu:
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following. ACL (Findings) 2025: 9322-9341
[c3]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:
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. ACL (1) 2025: 28201-28240
[c2]Zhaolu Kang, Hongtian Cai, Xiangyang Ji, Jinzhe Li, Nanfei Gu:
JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning. IJCNN 2025: 1-8
[c1]Chong Zhang
, Han Wang
, Qianhe Meng
, Yize Zhao
, Yihang Song
, Kanglin Xu
, Jinzhe Li
, Li Lu
:
LEGO+: Redefining the Redundancy Removal for IoT Sensing Edge-End Systems. MobiSys 2025: 570-582
[i9]Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong:
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. CoRR abs/2502.06255 (2025)
[i8]Jinnan Li, Jinzhe Li, Yue Wang, Yi Chang, Yuan Wu:
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following. CoRR abs/2502.14494 (2025)
[i7]Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Wei Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun:
AlignRAG: An Adaptable Framework for Resolving Misalignments in Retrieval-Aware Reasoning of RAG. CoRR abs/2504.14858 (2025)
[i6]Zhaolu Kang, Hongtian Cai, Xiangyang Ji, Jinzhe Li, Nanfei Gu:
JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning. CoRR abs/2504.17264 (2025)
[i5]Zihong Chen, Wanli Jiang, Jinzhe Li, Zhonghang Yuan, Huanjun Kong, Wanli Ouyang, Nanqing Dong:
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation. CoRR abs/2505.20416 (2025)
[i4]Jinzhe Li, Gengxu Li, Yi Chang, Yuan Wu:
Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models. CoRR abs/2505.23715 (2025)
[i3]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:
PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs. CoRR abs/2507.05101 (2025)
[i2]Jialin Li, Jinzhe Li, Gengxu Li, Yi Chang, Yuan Wu:
Refining Critical Thinking in LLM Code Generation: A Faulty Premise-based Evaluation Framework. CoRR abs/2508.03622 (2025)
[i1]Haiqi Yang, Jinzhe Li, Gengxu Li, Yi Chang, Yuan Wu:
Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability. CoRR abs/2508.04017 (2025)- 2024
[j1]Haotian Zhang
, Jinzhe Li
, Fang Hu, Haobo Lin, Jiali Ma:
AMter: An end-to-end model for transcriptional terminators prediction by extracting semantic feature automatically based on attention mechanism. Concurr. Comput. Pract. Exp. 36(13) (2024)
Coauthor Index

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last updated on 2025-12-17 21:03 CET by the dblp team
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