| 2026 | AAAI | Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings. | Cong Tan, Yongqi Shao, Hong Huo, Tao Fang |
| 2025 | IROS | EmoRLTalk: Speech-Driven Emotional Facial Animation With Offline Reinforcement Learning. | Gaofeng Liu, Xuetong Li, Ruoyu Gao, Ye Yuan, Jian Liu, Hengsen Li, Hong Huo, Tao Fang |
| 2025 | SMC | Emotion Recognition in Conversation Based on the Fine-grained Multidimensional Emotion Representation Learning. | Ruoyu Gao, Xiaoyu Wen, Gaofeng Liu, Hong Huo, Tao Fang |
| 2022 | UIC | Jointly Learning Time-Structure-History Graph Embedding for Temporal Knowledge Graph Reasoning. | Hao Duan, Haoyu Jin, Kang Chen, Shaochong Du, Tao Fang, Hong Huo |
| 2019 | ICONIP | Homeostasis-Based CNN-to-SNN Conversion of Inception and Residual Architectures. | Fu Xing, Ye Yuan, Hong Huo, Tao Fang |
| 2019 | ICONIP | Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit. | Hui Yan, Xinle Liu, Hong Huo, Tao Fang |
| 2019 | PAKDD | AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images. | Qiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, Tao Fang |
| 2017 | ICONIP | Bio-Inspired Deep Spiking Neural Network for Image Classification. | Jingling Li, Weitai Hu, Ye Yuan, Hong Huo, Tao Fang |
| 2009 | SMC | Spatio-temporal fusion for reliable moving vehicle classification in wireless sensor networks. | Chunting Liu, Hong Huo, Tao Fang, Deren Li |