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Biqing Zeng
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2020 – today
- 2025
- [j18]Biqing Zeng, Liangqi Xie, Ruizhe Li, Yongtao Yao, Ruiyuan Li, Huimin Deng:
Aspect-aware semantic feature enhanced networks for multimodal aspect-based sentiment analysis. J. Supercomput. 81(1): 64 (2025) - 2024
- [j17]Biqing Zeng, Junlong Chi, Peilin Hong, Guangming Lu, David Zhang, Bingzhi Chen:
Context-aware graph embedding with gate and attention for session-based recommendation. Neurocomputing 574: 127221 (2024) - [j16]Yuwu Lu, Haoyu Huang, Biqing Zeng, Zhihui Lai, Xuelong Li:
Multi-Source and Multi-Target Domain Adaptation Based on Dynamic Generator with Attention. IEEE Trans. Multim. 26: 6891-6905 (2024) - [c15]Yarong Zhang, Biqing Zeng, Yaoqi Xian, Rui Yang:
Detection of back acupoints based on improved OpenPose. FAIML 2024: 329-335 - [c14]Bingzhi Chen, Jiawei Zhu, Yishu Liu, Biqing Zeng, Jiahui Pan, Meirong Ding:
Medical Vision-Language Representation Learning with Cross-Modal Multi-Teacher Contrastive Distillation. ICASSP 2024: 1891-1895 - [c13]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Decoupled Self-Adaptive Distribution Regularization for Few-Shot Image Classification. ICASSP 2024: 5420-5424 - [c12]Biqing Zeng, Junjie Liang, Yining Hua, Ruizhe Li, Huimin Deng, Yihao Peng, Ruitang Wang:
THE BAT: Thoughts Hierarchical Enhancement Beyond Arbitrary Text Style Transfer. ICIC (LNAI 4) 2024: 376-388 - [c11]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu:
Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints. ICME 2024: 1-6 - [c10]Xiaolin Huang, Biqing Zeng, Jiahui Pan, Yujiang Yao, Zheng Zhou, Bingzhi Chen:
Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation. ICME 2024: 1-6 - [c9]Zheng Zhou, Zongxin Liu, Yongyong Chen, Bingzhi Chen, Biqing Zeng, Yicong Zhou:
Deep Unfolding 3D Non-Local Transformer Network for Hyperspectral Snapshot Compressive Imaging. ICME 2024: 1-6 - [c8]Jiawei Zhu, Meirong Ding, Yishu Liu, Biqing Zeng, Guangming Lu, Bingzhi Chen:
Robust Visual Question Answering With Contrastive-Adversarial Consistency Constraints. ICME 2024: 1-6 - [c7]Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang:
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing. IJCAI 2024: 623-631 - [c6]Biqing Zeng, Ruiyuan Li, Liuxing Lu, Liangqi Xie, Jiazhen Wang, Weihai Chen, Huimin Deng:
WConF: Weighted Contrastive Fusion for Multimodal Sentiment Analysis. NLPCC (5) 2024: 30-42 - [c5]Biqing Zeng, Hao Shi, Yangyu Li, Ruizhe Li, Huimin Deng:
Leveraging Large Language Models Knowledge Enhancement Dual-Stage Fine-Tuning Framework for Recommendation. NLPCC (2) 2024: 333-345 - [i4]Bingzhi Chen, Haoming Zhou, Yishu Liu, Biqing Zeng, Jiahui Pan, Guangming Lu:
Enhancing Few-Shot Classification without Forgetting through Multi-Level Contrastive Constraints. CoRR abs/2409.11286 (2024) - 2023
- [j15]Jiatao Chen, Biqing Zeng, Zhibin Du, Huimin Deng, Mayi Xu, Zibang Gan, Meirong Ding:
RFM: response-aware feedback mechanism for background based conversation. Appl. Intell. 53(9): 10858-10878 (2023) - [j14]Lingcong Feng, Biqing Zeng, Lewei He, Mayi Xu, Huimin Deng, Pengfei Chen, Zipeng Huang, Weihua Du:
Improving Span-Based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge. Neural Process. Lett. 55(5): 5833-5854 (2023) - [j13]Yuwu Lu, Wai Keung Wong, Biqing Zeng, Zhihui Lai, Xuelong Li:
Guided Discrimination and Correlation Subspace Learning for Domain Adaptation. IEEE Trans. Image Process. 32: 2017-2032 (2023) - [c4]Biqing Zeng, Xinru Zheng, Zhaohong Wang, Peilin Hong:
Anomaly Detection of Small Time Series Data Based on Improved Generative Adversarial Networks. AAIA 2023: 90-95 - [c3]Bingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang, Jiahui Pan, Biqing Zeng, Guangming Lu:
Combating Medical Label Noise via Robust Semi-supervised Contrastive Learning. MICCAI (1) 2023: 562-572 - 2022
- [j12]Mayi Xu, Biqing Zeng, Heng Yang, Junlong Chi, Jiatao Chen, Hongye Liu:
Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification. Neurocomputing 478: 49-69 (2022) - [j11]Yuwu Lu, Wenjing Wang, Biqing Zeng, Zhihui Lai, Linlin Shen, Xuelong Li:
Canonical Correlation Analysis With Low-Rank Learning for Image Representation. IEEE Trans. Image Process. 31: 7048-7062 (2022) - [j10]Biqing Zeng, Heng Yang, Shuai Liu, Mayi Xu:
Learning for target-dependent sentiment based on local context-aware embedding. J. Supercomput. 78(3): 4358-4376 (2022) - [c2]Meirong Ding, Hang Zhang, Biqing Zeng, Gaoyan Cai, Yuan Chai, Wensheng Gan:
Ultra-short-Term Load Forecasting Model Based on VMD and TGCN-GRU. IEA/AIE 2022: 15-28 - 2021
- [j9]Heng Yang, Biqing Zeng, Jianhao Yang, Youwei Song, Ruyang Xu:
A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction. Neurocomputing 419: 344-356 (2021) - [j8]Zibang Gan, Biqing Zeng, Lianglun Cheng, Shuai Liu, Heng Yang, Mayi Xu, Meirong Ding:
RoRePo: Detecting the role information and relative position information for contexts in multi-turn dialogue generation. J. Intell. Fuzzy Syst. 40(5): 10003-10015 (2021) - [i3]Heng Yang, Biqing Zeng, Mayi Xu, Tianxing Wang:
Back to Reality: Leveraging Pattern-driven Modeling to Enable Affordable Sentiment Dependency Learning. CoRR abs/2110.08604 (2021) - 2020
- [j7]Biqing Zeng, Feng Zeng, Heng Yang, Wu Zhou, Ruyang Xu:
Multi-task learning model for aspect term extraction and aspect polarity classification based on dual-labels. J. Intell. Fuzzy Syst. 39(3): 2763-2774 (2020) - [i2]Heng Yang, Biqing Zeng:
Enhancing Fine-grained Sentiment Classification Exploiting Local Context Embedding. CoRR abs/2010.00767 (2020)
2010 – 2019
- 2019
- [j6]Xuli Han, Biqing Zeng, Feng Zeng, Min Zhang, Qi Shang:
基于词嵌入辅助机制的情感分析 (Sentiment Analysis Based on Word Embedding Auxiliary Mechanism). 计算机科学 46(10): 258-264 (2019) - [j5]Biqing Zeng, Qi Shang, Xuli Han, Feng Zeng, Min Zhang:
RACMF: robust attention convolutional matrix factorization for rating prediction. Pattern Anal. Appl. 22(4): 1655-1666 (2019) - [c1]Jun Liang, Qin Liu, Ruihua Nie, Biqing Zeng, Zan-Bo Zhang:
An Improved Algorithm based on KNN and Random Forest. CSAE 2019: 74:1-74:6 - [i1]Heng Yang, Biqing Zeng, Jianhao Yang, Youwei Song, Ruyang Xu:
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction. CoRR abs/1912.07976 (2019) - 2017
- [j4]Biqing Zeng, Chi Zhang, Pianpian Hu, Shengyu Wang:
Spectrum Sharing Based on a Bertrand Game in Cognitive Radio Sensor Networks. Sensors 17(1): 101 (2017) - 2015
- [j3]Chi Zhang, Biqing Zeng, Jinsong Yang, Xiaohong Xie:
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). 计算机科学 42(3): 85-90 (2015) - [j2]Jinsong Yang, Biqing Zeng, Pianpian Hu:
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). 计算机科学 42(Z11): 258-262 (2015) - 2014
- [j1]Shuona Xu, Biqing Zeng:
Network Traffic Prediction Model Based on Auto-regressive Moving Average. J. Networks 9(3): 653-659 (2014)
Coauthor Index
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