Biqing Zeng

According to our database, Biqing Zeng authored at least 35 papers between 2014 and 2025.

Collaborative distances:

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

2025

Aspect-aware semantic feature enhanced networks for multimodal aspect-based sentiment analysis.

Biqing Zeng, Liangqi Xie, Ruizhe Li, Yongtao Yao, Ruiyuan Li, Huimin Deng

J. Supercomput., January, 2025

2024

Context-aware graph embedding with gate and attention for session-based recommendation.

Biqing Zeng, Junlong Chi, Peilin Hong, Guangming Lu, David Zhang, Bingzhi Chen

Neurocomputing, March, 2024

Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator with Attention.

Yuwu Lu, Haoyu Huang, Biqing Zeng, Zhihui Lai, Xuelong Li

IEEE Trans. Multim., 2024

Leveraging Large Language Models Knowledge Enhancement Dual-Stage Fine-Tuning Framework for Recommendation.

Biqing Zeng, Hao Shi, Yangyu Li, Ruizhe Li, Huimin Deng

Proceedings of the Natural Language Processing and Chinese Computing, 2024

WConF: Weighted Contrastive Fusion for Multimodal Sentiment Analysis.

Biqing Zeng, Ruiyuan Li, Liuxing Lu, Liangqi Xie, Jiazhen Wang, Weihai Chen, Huimin Deng

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing.

Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints.

Jiawei Zhu, Meirong Ding, Yishu Liu, Biqing Zeng, Guangming Lu, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Deep Unfolding 3D Non-Local Transformer Network for Hyperspectral Snapshot Compressive Imaging.

Zheng Zhou, Zongxin Liu, Yongyong Chen, Bingzhi Chen, Biqing Zeng, Yicong Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation.

Xiaolin Huang, Biqing Zeng, Jiahui Pan, Yujiang Yao, Zheng Zhou, Bingzhi Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints.

Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

THE BAT: Thoughts Hierarchical Enhancement Beyond Arbitrary Text Style Transfer.

Biqing Zeng, Junjie Liang, Yining Hua, Ruizhe Li, Huimin Deng, Yihao Peng, Ruitang Wang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation.

Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding

Proceedings of the IEEE International Conference on Acoustics, 2024

Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification.

Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

Detection of back acupoints based on improved OpenPose.

Yarong Zhang, Biqing Zeng, Yaoqi Xian, Rui Yang

Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

2023

Improving Span-Based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge.

Lingcong Feng, Biqing Zeng, Lewei He, Mayi Xu, Huimin Deng, Pengfei Chen, Zipeng Huang, Weihua Du

Neural Process. Lett., October, 2023

RFM: response-aware feedback mechanism for background based conversation.

Jiatao Chen, Biqing Zeng, Zhibin Du, Huimin Deng, Mayi Xu, Zibang Gan, Meirong Ding

Appl. Intell., May, 2023

Guided Discrimination and Correlation Subspace Learning for Domain Adaptation.

Yuwu Lu, Wai Keung Wong, Biqing Zeng, Zhihui Lai, Xuelong Li

IEEE Trans. Image Process., 2023

Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning.

Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anomaly Detection of Small Time Series Data Based on Improved Generative Adversarial Networks.

Biqing Zeng, Xinru Zheng, Zhaohong Wang, Peilin Hong

Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2022

Learning for target-dependent sentiment based on local context-aware embedding.

Biqing Zeng, Heng Yang, Shuai Liu, Mayi Xu

J. Supercomput., 2022

Canonical Correlation Analysis With Low-Rank Learning for Image Representation.

Yuwu Lu, Wenjing Wang, Biqing Zeng, Zhihui Lai, Linlin Shen, Xuelong Li

IEEE Trans. Image Process., 2022

Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification.

Mayi Xu, Biqing Zeng, Heng Yang, Junlong Chi, Jiatao Chen, Hongye Liu

Neurocomputing, 2022

Ultra-short-Term Load Forecasting Model Based on VMD and TGCN-GRU.

Meirong Ding, Hang Zhang, Biqing Zeng, Gaoyan Cai, Yuan Chai, Wensheng Gan

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

2021

RoRePo: Detecting the role information and relative position information for contexts in multi-turn dialogue generation.

Zibang Gan, Biqing Zeng, Lianglun Cheng, Shuai Liu, Heng Yang, Mayi Xu, Meirong Ding

J. Intell. Fuzzy Syst., 2021

A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction.

Heng Yang, Biqing Zeng, Jianhao Yang, Youwei Song, Ruyang Xu

Neurocomputing, 2021

Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning.

Heng Yang, Biqing Zeng, Mayi Xu, Tianxing Wang

CoRR, 2021

2020

Multi-task learning model for aspect term extraction and aspect polarity classification based on dual-labels.

Biqing Zeng, Feng Zeng, Heng Yang, Wu Zhou, Ruyang Xu

J. Intell. Fuzzy Syst., 2020

Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding.

Heng Yang, Biqing Zeng

CoRR, 2020

2019

RACMF: robust attention convolutional matrix factorization for rating prediction.

Biqing Zeng, Qi Shang, Xuli Han, Feng Zeng, Min Zhang

Pattern Anal. Appl., 2019

基于词嵌入辅助机制的情感分析 (Sentiment Analysis Based on Word Embedding Auxiliary Mechanism).

Xuli Han, Biqing Zeng, Feng Zeng, Min Zhang, Qi Shang

计算机科学, 2019

An Improved Algorithm based on KNN and Random Forest.

Jun Liang, Qin Liu, Ruihua Nie, Biqing Zeng, Zan-Bo Zhang

Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2017

Spectrum Sharing Based on a Bertrand Game in Cognitive Radio Sensor Networks.

Biqing Zeng, Chi Zhang, Pianpian Hu, Shengyu Wang

Sensors, 2017

2015

OFDMA认知无线电网络中面向功率控制的频谱定价与分配 (Power Control-oriented Spectrum Pricing and Allocation in OFDMA Cognitive Radio Networks).

Chi Zhang, Biqing Zeng, Jinsong Yang, Xiaohong Xie

计算机科学, 2015

认知无线电网络中基于和声搜索的频谱分配与功率控制 (Spectrum Allocation and Power Control Based on Harmony Search Algorithm in Cognitive Radio Network).

Jinsong Yang, Biqing Zeng, Pianpian Hu

计算机科学, 2015

2014

Network Traffic Prediction Model Based on Auto-regressive Moving Average.

Shuona Xu, Biqing Zeng

J. Networks, 2014