A Cost-Effective Approach of Building Multi-tenant Oriented Lightweight Virtual HPC Cluster. - Rongzhen Li; Qingbo Wu 003; Yusong Tan; Jianfeng Zhang; Xiaoling Li 002; Jie Lin (CCBD, 2016)

PCP-B2: Partial critical path budget balanced scheduling algorithms for scientific workflow applications. - Fuhui Wu; Qingbo Wu 003; Yusong Tan; Rongzhen Li; Wei Wang 130 (Future Gener. Comput. Syst., 2016)

Survivable Virtual SDN Embedding Approach for Innovative Cloud Data Network. - Yusong Tan; Rongzhen Li; Jianfeng Zhang; Xiaoling Li 002; Qingbo Wu 003; Yuejin Yan (ISPAN-FCST-ISCC, 2017)

On the Optimal Approach of Survivable Virtual Network Embedding in Virtualized SDN. - Rongzhen Li; Qingbo Wu 003; Yusong Tan; Junyang Zhang (IEICE Trans. Inf. Syst., 2018)

Design and Implementation of Deep Neural Network for Edge Computing. - Junyang Zhang; Yang Guo; Xiao Hu; Rongzhen Li (IEICE Trans. Inf. Syst., 2018)

A virtual cluster embedding approach by coordinating virtual network and software-defined network. - Yusong Tan; Rongzhen Li; Qingbo Wu 003; Jianfeng Zhang (Soft Comput., 2018)

Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition. - Ganghong Huang; Jiang Zhong; Chen Wang 074; Qizhu Dai; Rongzhen Li (KSEM (3), 2022)

CorefDRE: Coref-Aware Document-Level Relation Extraction. - Zhongxuan Xue; Jiang Zhong; Qizhu Dai; Rongzhen Li (KSEM (3), 2022)

AESPrompt: Self-supervised Constraints for Automated Essay Scoring with Prompt Tuning. - Qiuyu Tao; Jiang Zhong; Rongzhen Li (SEKE, 2022)

PIWI-interacting RNAs in human diseases: databases and computational models. - Tianjiao Zhang; Liang Chen 021; Rongzhen Li; Ning Liu; Xiaobing Huang; Garry Wong (Briefings Bioinform., 2022)

CorefDRE: Document-level Relation Extraction with coreference resolution. - Zhongxuan Xue; Rongzhen Li; Qizhu Dai; Jiang Zhong (CoRR, 2022)

Sufficient Reasons for A Zero-Day Intrusion Detection Artificial Immune System. - Qianru Zhou; Rongzhen Li; Lei Xu 015; Arumugam Nallanathan; Jian Yanga; Anmin Fu (CoRR, 2022)

Heterogenous affinity graph inference network for document-level relation extraction. - Rongzhen Li; Jiang Zhong; Zhongxuan Xue; Qizhu Dai; Xue Li 001 (Knowl. Based Syst., 2022)

Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation. - Ai Chen; Jiang Zhong; Qizhu Dai; Chen Wang 074; Rongzhen Li (ADMA (4), 2023)

Adaptive Prototype Network with Common and Discriminative Representation Learning for Few-Shot Relation Extraction. - Wenyue Hu; Jiang Zhong; Yang Xia; Yangmei Zhou; Rongzhen Li (ADMA (4), 2023)

Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension. - Jiaqi Wang; Jiang Zhong; Hong Yin; Chen Wang 074; Qizhu Dai; Yang Xia; Rongzhen Li (ADMA (4), 2023)

Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking. - Qizhu Dai; Qin Lei; Jiang Zhong; Xue Li 001; Chen Wang 074; Hong Yin; Rongzhen Li (BIBM, 2023)

Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation. - Qin Lei; Rongzhen Li; Jiang Zhong; Chen Wang 074; Qizhu Dai (BIBM, 2023)

Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation. - Qizhu Dai; Jiang Zhong; Wei Zhu; Chen Wang 074; Hong Yin; Qin Lei; Xue Li 001; Rongzhen Li (ECAI, 2023)

Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning. - Rongzhen Li; Jiang Zhong; Zhongxuan Xue; Qizhu Dai; Chen Wang 074; Xue Li 001 (ICASSP, 2023)

PRRD: Pixel-Region Relation Distillation For Efficient Semantic Segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Rongzhen Li; Qin Lei; Bin Fang; Xue Li 001 (ICASSP, 2023)

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today. - Zhuo Wang 006; Rongzhen Li; Bowen Dong; Jie Wang; Xiuxing Li; Ning Liu 014; Chenhui Mao; Wei Zhang 056; Liling Dong; Jing Gao; Jianyong Wang 001 (CoRR, 2023)

Network Intrusion Detection Based on Explainable Artificial Intelligence. - Yiwen Wang; Lei Xu 015; Wanli Liu; Rongzhen Li; Junjie Gu (Wirel. Pers. Commun., 2023)

Local structure consistency and pixel-correlation distillation for compact semantic segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Rongzhen Li; Qien Yu; Bin Fang (Appl. Intell., 2023)

Channel Correlation Distillation for Compact Semantic Segmentation. - Chen Wang 074; Jiang Zhong; Qizhu Dai; Yafei Qi; Qien Yu; Fengyuan Shi 003; Rongzhen Li; Xue Li 001; Bin Fang (Int. J. Pattern Recognit. Artif. Intell., 2023)

GP-NFSP: Decentralized task offloading for mobile edge computing with independent reinforcement learning. - Jiaxin Hou; Meng Chen; Haijun Geng; Rongzhen Li; Jianyuan Lu (Future Gener. Comput. Syst., 2023)

YOLOv5s-DSD: An Improved Aerial Image Detection Algorithm Based on YOLOv5s. - Chaoyue Sun; Yajun Chen; Ci Xiao; Longxiang You; Rongzhen Li (Sensors, 2023)

GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion. - Hong Yin; Jiang Zhong; Chen Wang 074; Rongzhen Li; Xue Li 001 (Expert Syst. Appl., 2023)

Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization. - Tianyu Zhou; Rongzhen Li; Jiang Zhong; Qizhu Dai; Yuxuan Liu; Xue Li 001 (APWeb/WAIM (1), 2024)

Contrastive Learning Enhanced Graph Relation Representation for Document-level Relation Extraction. - Qizhu Dai; Jiang Zhong; Kuan Li; Rongzhen Li; Chen Wang 074; Lebin Lv; Wenjun Chen; Xue Li 001 (BIBM, 2024)

Evidence Sentence Augmented Sequence-to-Sequence Method for Document-level Relation Extraction. - Qizhu Dai; Jiang Zhong; Kuan Li; Rongzhen Li; Chen Wang 074; Xuejiao Yang; Sen Yang; Xue Li 001 (BIBM, 2024)

Facilitating Message Passing with Potential Links for Knowledge Graph Completion. - Hong Yin; Jiang Zhong; Rongzhen Li; Jiaqi Wang; Chen Wang 074; Qizhu Dai; Xue Li 001 (ICASSP, 2024)

Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity. - Qin Lei; Rui Yang 011; Jiang Zhong; Rongzhen Li; Muyang He; Mianxiong Dong; Kaoru Ota (ICME, 2024)

V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion. - Sheng Yi; Hao Zhang 065; Feiyu Jin; Yiyang Hu; Rongzhen Li; Kai Liu 001 (WASA (3), 2024)

IM-CTSDG: Ancient Mural Image Inpainting Guided by Texture Structure and Multi-Scale Contextual Feature Aggregation. - Ci Xiao; Yajun Chen; Longxiang You; Chaoyue Sun; Rongzhen Li (IEEE Access, 2024)

Self-supervised commonsense knowledge learning for document-level relation extraction. - Rongzhen Li; Jiang Zhong; Zhongxuan Xue; Qizhu Dai; Xue Li 001 (Expert Syst. Appl., 2024)

Disentangled Relational Graph Neural Network with Contrastive Learning for knowledge graph completion. - Hong Yin; Jiang Zhong; Rongzhen Li; Xue Li 001 (Knowl. Based Syst., 2024)

Adaptive class augmented prototype network for few-shot relation extraction. - Rongzhen Li; Jiang Zhong; Wenyue Hu; Qizhu Dai; Chen Wang 074; Wenzhu Wang; Xue Li 001 (Neural Networks, 2024)

Towards Interpretable Machine-Learning-Based DDoS Detection. - Qianru Zhou; Rongzhen Li; Lei Xu 015; Arumugam Nallanathan; Jian Yang 003; Anmin Fu (SN Comput. Sci., 2024)

Energy-Aware Minimum Delay Broadcast Scheduling for SIC-Enabled Wireless-Powered IoT. - Xianlong Jiao; Wei Lou; Songtao Guo; Junquan Deng; Rongzhen Li; Yong Kang; Liang Fang (IEEE Trans. Ind. Informatics, 2024)

MRD-YOLO: A Multispectral Object Detection Algorithm for Complex Road Scenes. - Chaoyue Sun; Yajun Chen; Xiaoyang Qiu; Rongzhen Li; Longxiang You (Sensors, 2024)

Document-level relation extraction via commonsense knowledge enhanced graph representation learning. - Qizhu Dai; Rongzhen Li; Zhongxuan Xue; Xue Li 001; Jiang Zhong (Appl. Intell., 2025)

High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion. - Hong Yin; Jiang Zhong; Rongzhen Li; Jiaxing Shang; Chen Wang 074; Xue Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding. - Tongtong Cheng; Rongzhen Li; Yixin Xiong; Tao Zhang; Jing Wang; Kai Liu (CoRR, 2025)