Zhichao Huang

Zhichao Huang

Algorithmic Engineer at JD Technology. Foucsing on GNNs, KG and LLM.

📝 Publications

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. In AAAI, 2025. oral paper

2024

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

  • Guangning Xu, Michael K Ng, Yunming Ye, Xutao Li, Ge Song, Bowen Zhang, and 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. IEEE Transactions on Circuits and Systems for Video Technology, 2024.

  • Xuebo Cheng, Xiaohui Huang, Zhichao Huang, Nan Jiang. An Offline-to-Online Reinforcement Learning Approach Based on Multi-action Evaluation with Policy Extension.Applied Intelligence, 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. In COLING, 2024.

2023

  • Guangning Xu, Yan Li, Chi Ma, Xutao Li, Yunming Ye, Qingquan Lin, Zhichao Huang, and Shidong Chen. Tfg-net: Tropical cyclone intensity estimation from a fine-grained perspective with the graph convolution neural network. Engineering Applications of Artificial Intelligence, 118:105673, 2023.

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

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

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

2022

  • Zhichao Huang, Xutao Li, Yunming Ye, Baoquan Zhang, Guangning Xu, and Wensheng Gan. Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network. Applied Intelligence, pages 1–20, 2022.

  • Guangning Xu, Xutao Li, Shanshan Feng, Yunming Ye, Zhihua Tu, Kenghong Lin, and Zhichao Huang. LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction. Neural Networks, 155:242–257, 2022.

  • Bowen Zhang, Xu Huang, Zhichao Huang, Hu Huang, Baoquan Zhang, Xianghua Fu, and Liwen Jing. Sentiment interpretable logic tensor network for aspect-term sentiment analysis. In COLING, pages 6705–6714, 2022.

2021 and Before

  • Zhichao Huang, Yuxi Sun, Yunming Ye, Wensheng Gan, and Wei-Che Chien. Inama: An interactive attentional model for node alignment. Journal of Internet Technology, 22(7):1587–1597, 2021.

  • Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, and Lisai Zhang. Prototype completion with primitive knowledge for few-shot learning. In CVPR, pages 3754–3762, 2021.

  • Yuxi Sun, Shanshan Feng, Yunming Ye, Xutao Li, Jian Kang, Zhichao Huang, and Chuyao Luo. Multisensor fusion and explicit semantic preserving-based deep hashing for cross-modal remote sensing imageretrieval. IEEE Transactions on Geoscience and Remote Sensing, 60:1–14, 2021.

  • Zhichao Huang, Xutao Li, Yunming Ye, and Michael K Ng. Mr-gcn: Multi-relational graph convolutional networks based on generalized tensor product. In IJCAI, pages 1258–1264, 2020.

  • Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, and Yuan Yao. Tlvane: a two-level variation model for attributed network embedding. Neural Computing and Applications, 32:4835–4847, 2020.

  • Zhichao Huang, Xutao Li, and Yunming Ye. Aligning users across social networks via intra and inter attentions. In APWeb-WAIM 2020, pages 162–169, 2020.

  • Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K Ng, Zhichao Huang, and Yu Zhang. Low-resolution image categorization via heterogeneous domain adaptation. Knowledge-Based Systems, 163:656–665, 2019.

  • Zhichao Huang, Yunming Ye, Xutao Li, Feng Liu, and Huajie Chen. Joint weighted nonnegative matrix factorization for mining attributed graphs. In PAKDD 2017, pages 368–380, 2017.

  • Yuan Yao, Yan Li, Ke Wang, Zhichao Huang, and Yunming Ye. A semi-supervised clustering method through bottleneck distance exploration. In ICSS, pages 115–121, 2016.