Bowen Zhang

Bowen Zhang

Tenured Associate Professor at Shenzhen Technology University (SZTU).

📝 Publications

2025

  • Cheng Peng, Guodong Li, Likang Lin, Bowen Zhang, Kun Zou, Sio Long Lo, Ah Chung Tsoi. A novel facial expression recognition method based on cross direction attention network. Engineering Applications of Artificial Intelligence, 2025.

  • Yongcheng Li, Lingcong Cai, Ying Lu, Cheng Lin, Yupeng Zhang, Jingyan Jiang, Genan Dai, Bowen Zhang, Jingzhou Cao, Xiangzhong Zhang, Xiaomao Fan. Domain-invariant representation learning via SAM for blood cell classification. Pattern Recognition, 2025.

  • Fuqiang Niu, Yi Yang, Xianghua Fu, Genan Dai, Bowen Zhang📧. C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset. WWW, 2025.

  • Bowen Zhang, Jun Ma, Xianghua Fu, Genan Dai. Logic Augmented Multi-Decision Fusion framework for stance detection on social media. Information Fusion, 2025.

  • Genan Dai, Wenfeng Yi, Jinzhou Cao, Zhaoya Gong, Xianghua Fu, Bowen Zhang📧. CRRL: Contrastive Region Relevance Learning Framework for cross-city traffic prediction. Information Fusion, 2025.

  • Bowen Zhang, Zhichao Huang, Guangning Xu, Xiaomao Fan, Mingyan Xiao, Genan Dai, Hu Huang. Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning. AAAI, 2025. oral paper

  • Bowen Zhang, Xu Li, Jun Ma, Xi Zhang, Genan Dai, Jianhua Ye. Zero-shot Stance Detection with Logically Consistent Data Augmentation. ICASSP, 2025.

  • Jinzhou Cao, Xiangxu Wang, Jiashi Chen, Bowen Zhang, Yahan Ma, Tianhong Zhao. SemiGPS: GraphGPS-based Semi-supervised Graph Learning for Sector-Specific GDP Mapping. ICASSP, 2025.

  • Bowen Zhang, Yunlong Xing, Zinao Su, Jinzhou Cao, Tianhong Zhao, Genan Dai. Semantics-Guided Dynamic Hypergraph Network for Human Mobility Nowcasting in Disaster. ICASSP, 2025.

  • Genan Dai, Jiayu Liao, Sicheng Zhao, Xianghua Fu, Xiaojiang Peng, Hu Huang, Bowen Zhang📧. Large Language Model Enhanced Logic Tensor Network for Stance Detection. Neural Networks, 2025.

  • Genan Dai, Weiyang Kong, Yubao Liu, Bowen Zhang, Xiaojiang Peng, Xiaomao Fan, Hu Huang. Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction. ACM Transactions on Intelligent Systems and Technology, 2025.

2024

  • Guangning Xu, Michael K Ng, Yunming Ye, Bowen Zhang📧. FHDTIE: Fine-grained Heterogeneous Data Fusion for Tropical Cyclone Intensity Estimation. IEEE Transactions on Geoscience and Remote Sensing, 2024.

  • Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang. A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowledge-Based Systems, 2024.

  • Fuqiang Niu, Zebang Cheng, Xianghua Fu, Xiaojiang Peng, Genan Dai, Yin Chen, Hu Huang, Bowen Zhang📧. Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model. ACM MM, 2024.

  • Xu Huang, Yunming Ye, Bowen Zhang, Huiwei Lin, Yuxi Sun, Xutao Li, Chuyao Luo. Toward a Variation-Aware and Interpretable Model for Radar Image Sequence Prediction. IEEE Transactions on Industrial Informatics, 2024.

  • Bowen Zhang, Daijun Ding, Zhichao Huang, Ang Li, Yangyang Li, Baoquan Zhang, Hu Huang. Knowledge-augmented interpretable network for zero-shot stance detection on social media. IEEE Transactions on Computational Social Systems, 2024.

  • Xu Huang, Chuyao Luo, Bowen Zhang📧, Huiwei Lin, Xutao Li, Yunming Ye. iTrendRNN: an interpretable trend-aware RNN for meteorological spatiotemporal prediction. AAAI, 2024

  • Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin, Yunming Ye, Bowen Zhang. Metadiff: Meta-learning with conditional diffusion for few-shot learning. AAAI, 2024.

  • Daijun Ding, Li Dong, Zhichao Huang, Guangning Xu, Xu Huang, Bo Liu, Liwen Jing, and Bowen Zhang📧. Edda: A encoder-decoder data augmentation framework for zero-shot stance detection. COLING, 2024.

  • Guangning Xu, Michael K Ng, Yunming Ye, Xutao Li, Ge Song, Bowen Zhang, Zhichao Huang. TLS-MWP: A Tensor-based Long-and Short-range Convolution for Multiple Weather Prediction. IEEE Transactions on Circuits and Systems for Video Technology, 2024.

  • Fuqiang Niu, Min Yang, Ang Li, Baoquan Zhang, Xiaojiang Peng, Bowen Zhang📧. A challenge dataset and effective models for conversational stance detection. COLING, 2024.

  • Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan. MoZIP: A multilingual benchmark to evaluate large language models in intellectual property. COLING, 2024.

  • Daijun Ding, Xianghua Fu, Xiaojiang Peng, Xiaomao Fan, Hu Huang, Bowen Zhang📧. Leveraging chain-of-thought to enhance stance detection with prompt-tuning. Mathematics, 2024.

  • Daijun Ding, Rong Chen, Liwen Jing, Bowen Zhang, Xu Huang, Li Dong, Xiaowen Zhao, Ge Song. Cross-target Stance Detection by Exploiting Target Analytical Perspectives. ICASSP, 2024.

2023

  • Cheng Peng, Yiqin Zhang, Bowen Zhang, Dan Song, Yi Lyu, AhChung Tsoi. A novel ultra-short-term wind power prediction method based on XA mechanism. Applied Energy, 2023.

  • Ang Li, Bin Liang, Jingqian Zhao, Bowen Zhang, Min Yang, Ruifeng Xu. Stance detection on social media with background knowledge. EMNLP, 2023.

  • Guodong Li, Cheng Peng, Kun Zou, Bowen Zhang📧. Adaptive Fusion Attention Network for Facial Expression Recognition. Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023.

  • Zebang Cheng, Yuxiang Lin, Zhaoru Chen, Xiang Li, Shuyi Mao, Fan Zhang, Daijun Ding, Bowen Zhang, Xiaojiang Peng. Semi-supervised multimodal emotion recognition with expression mae. Proceedings of the 31st ACM International Conference on Multimedia, 2023.

  • Baoquan Zhang, Chuyao Luo, Hao Jiang, Shanshan Feng, Xutao Li, Bowen Zhang, Yunming Ye. Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023.

  • Hu Huang, Bowen Zhang📧, Yangyang Li, Baoquan Zhang, Yuxi Sun, Chuyao Luo, Cheng Peng. Knowledge-enhanced prompt-tuning for stance detection. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023.

  • Guangning Xu, Jinyang Yang, Jinjin Guo, Zhichao Huang, Bowen Zhang📧. Int-gnn: a user intention aware graph neural network for session-based recommendation. ICASSP, 2023.

  • Jinjin Guo, Zhichao Huang, Guangning Xu, Bowen Zhang, Chaoqun Duan. Knowledge-aware few shot learning for event detection from short texts. ICASSP, 2023.

  • Bowen Zhang, Daijun Ding, Guangning Xu, Jinjin Guo, Zhichao Huang, Xu Huang. Twitter stance detection via neural production systems. ICASSP, 2023.

  • Xu Huang, Shanshan Feng, Yunming Ye, Xutao Li, Bowen Zhang, Shidong Chen. NPDN-3D: A 3D neural partial differential network for spatiotemporal prediction. Pattern Recognition, 2023.

  • Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li. Interpretable local flow attention for multi-step traffic flow prediction. Neural networks, 2023.

  • Zheng Zhang, Chuyao Luo, Baoquan Zhang, Hao Jiang, Bowen Zhang. Multi‐task framework of precipitation nowcasting. CAAI Transactions on Intelligence Technology, 2023

  • Bowen Zhang, Xianghua Fu, Chuyao Luo, Yunming Ye, Xutao Li, Liwen Jing. Cross-domain aspect-based sentiment classification by exploiting domain-invariant semantic-primary feature. IEEE Transactions on Affective Computing, 2023.

2022 and before

  • Xu Huang, Xutao Li, Yunming Ye, Shanshan Feng, Chuyao Luo, Bowen Zhang📧. On Understanding of Spatiotemporal Prediction Model. TCSVT, 2022.

  • Yuxi Sun, Yunming Ye, Jian Kang, Rubén Fernández-Beltran, Yifang Ban, Xutao Li, Bowen Zhang, Antonio Plaza. Multisource Data Reconstruction-Based Deep Unsupervised Hashing for Unisource Remote Sensing Image Retrieval. TGRS, 2022.

  • Hu Huang, Bowen Zhang📧, Liwen Jing, Xianghua Fu, Xiaojun Chen, Jianyang Shi. Logic tensor network with massive learned knowledge for aspect-based sentiment analysis. KBS, 2022.

  • Bo Liu, Wandi Xu, Yuejia Xiang, Xiaojun Wu, Lejian He, Bowen Zhang, Li Zhu. Noise Learning for Text Classification: A Benchmark. COLING, 2022.

  • Bowen Zhang, Xu Huang, Zhichao Huang, Hu Huang, Baoquan Zhang, Xianghua Fu, Liwen Jing. Sentiment Interpretable Logic Tensor Network for Aspect-Term Sentiment Analysis. COLING, 2022.

  • Xu Huang, Chuyao Luo, Yunming Ye, Xutao Li, Bowen Zhang📧. Location-Refining neural network: A new deep learning-based framework for Heavy Rainfall Forecast. Computers & Geosciences 166, 2022.

  • Yuxi Sun, Yunming Ye, Xutao Li, Shanshan Feng, Bowen Zhang, Jian Kang, Kuai Dai. Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval. KBS, 2022.

  • Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Zhongjie Wang. A memory network based end-to-end personalized task-oriented dialogue generation. KBS, 2020.

  • Bowen Zhang, Xutao Li, Xiaofei Xu, Ka-Cheong Leung, Zhiyao Chen, Yunming Ye. Knowledge Guided Capsule Attention Network for Aspect-Based Sentiment Analysis. TASLP, 2020.

  • Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu, Kuai Dai. Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge. ACL, 2020.

  • Xu Huang, Bowen Zhang, Yunming Ye, Xiaojun Chen, Xutao Li. A Noise Adaptive Model for Distantly Supervised Relation Extraction. NLPCC, 2020.