CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. - Weiqiang Jin; Hang Yu 006; Xiangfeng Luo (ICTAI, 2021)

Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning. - Weiqiang Jin; Hang Yu 006; Xi Tao; Ruiping Yin (CoRR, 2021)

Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval. - Weiqiang Jin; Biao Zhao; Chenxing Liu (DASFAA (3), 2023)

Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction. - Weiqiang Jin; Biao Zhao; Chenxing Liu; Heng Zhang; Mengying Jiang (ICANN (10), 2023)

Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation. - Weiqiang Jin; Biao Zhao; Guizhong Liu (ICONIP (11), 2023)

Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction. - Mengying Jiang; Guizhong Liu; Biao Zhao; Yuanchao Su; Weiqiang Jin (CoRR, 2023)

Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning. - Weiqiang Jin; Biao Zhao; Hang Yu 006; Xi Tao; Ruiping Yin; Guizhong Liu (Data Min. Knowl. Discov., 2023)

Back to common sense: Oxford dictionary descriptive knowledge augmentation for aspect-based sentiment analysis. - Weiqiang Jin; Biao Zhao; Liwen Zhang; Chenxing Liu; Hang Yu 006 (Inf. Process. Manag., 2023)

ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification. - Biao Zhao; Weiqiang Jin; Javier Del Ser; Guang Yang 006 (Neurocomputing, 2023)

Prompt learning for metonymy resolution: Enhancing performance with internal prior knowledge of pre-trained language models. - Biao Zhao; Weiqiang Jin; Yu Zhang 205; Subin Huang; Guang Yang 006 (Knowl. Based Syst., 2023)

Fintech Key-Phrase: A New Chinese Financial High-Tech Dataset Accelerating Expression-Level Information Retrieval. - Weiqiang Jin; Biao Zhao; Yu Zhang 205; Gege Sun; Hang Yu 006 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

DisCo-FEND: Social Context Veracity Dissemination Consistency-Guided Case Reasoning for Few-Shot Fake News Detection. - Weiqiang Jin; Ningwei Wang; Tao Tao; Mengying Jiang; Xiaotian Wang; Biao Zhao; Hao Wu; Haibin Duan; Guang Yang 006 (WISE (5), 2024)

Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors. - Chipeng Cao; Jie Li 089; Pan Wang 004; Weiqiang Jin; Runrun Zou; Chun Qi (Remote. Sens., 2024)

A Survey on Deep Learning for Few-Shot PolSAR Image Classification. - Ningwei Wang; Weiqiang Jin; Haixia Bi; Chen Xu; Jinghuai Gao (Remote. Sens., 2024)

RF-Keypad: A Battery-Free Keypad Based on COTS RFID Tag Array. - Yufan Zhang; Zhimiao Zhan; Weiqiang Jin; Yanjun Li 004; Daqiong Shi (IEEE Internet Things J., 2024)

WordTransABSA: Enhancing Aspect-based Sentiment Analysis with masked language modeling for affective token prediction. - Weiqiang Jin; Biao Zhao; Yu Zhang 205; Jia Huang; Hang Yu 006 (Expert Syst. Appl., 2024)

Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction. - Mengying Jiang; Guizhong Liu; Biao Zhao; Yuanchao Su; Weiqiang Jin (Neurocomputing, 2024)

Learning with noisy labels via Mamba and entropy KNN framework. - Ningwei Wang; Weiqiang Jin; Shirou Jing; Haixia Bi; Guang Yang 006 (Appl. Soft Comput., 2025)

A prompting multi-task learning-based veracity dissemination consistency reasoning augmentation for few-shot fake news detection. - Weiqiang Jin; Ningwei Wang; Tao Tao; Mengying Jiang; Yebei Xing; Biao Zhao; Hao Wu; Haibin Duan; Guang Yang 006 (Eng. Appl. Artif. Intell., 2025)

Veracity-Oriented Context-Aware Large Language Models-Based Prompting Optimization for Fake News Detection. - Weiqiang Jin; Yang Gao; Tao Tao; Xiujun Wang; Ningwei Wang; Baohai Wu; Biao Zhao (Int. J. Intell. Syst., 2025)

Courtroom-FND: a multi-role fake news detection method based on argument switching-based courtroom debate. - Weiqiang Jin; Dafu Su; Tao Tao; Xiujun Wang; Ningwei Wang; Biao Zhao (J. King Saud Univ. Comput. Inf. Sci., 2025)

Representation-driven sampling and adaptive policy resetting for improving multi-Agent reinforcement learning. - Weiqiang Jin; Xingwu Tian; Ningwei Wang; Baohai Wu; Bohang Shi; Biao Zhao; Guang Yang 006 (Neural Networks, 2025)

A Comprehensive Survey on Multi-Agent Cooperative Decision-Making: Scenarios, Approaches, Challenges and Perspectives. - Weiqiang Jin; Hongyang Du; Biao Zhao; Xingwu Tian; Bohang Shi; Guang Yang 006 (CoRR, 2025)

Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning. - Weiqiang Jin; Hongyang Du; Guizhong Liu; Dong In Kim (CoRR, 2025)

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Weiqiang Jin; Biao Zhao (IEEE Trans. Big Data, 2025)

Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification. - Weiqiang Jin; Mengying Jiang; Tao Tao; Hao Zhou 038; Xiaotian Wang; Biao Zhao; Guang Yang 006 (IEEE Trans. Big Data, 2025)