| 2025 | AAAI | HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions. | Keyu Du, Hao Xu, Haipeng Li, Hong Qu, Chi-Wing Fu, Shuaicheng Liu |
| 2024 | ECAI | Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks. | Lang Xue, Hanwen Liu, Jing Wang, Hong Qu |
| 2024 | ICANN | A Multiscale Resonant Spiking Neural Network for Music Classification. | Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu |
| 2024 | ICASSP | MLPs Compass: What is Learned When MLPs are Combined with PLMs? | Li Zhou, Wenyu Chen, Yong Cao, Dingyi Zeng, Wanlong Liu, Hong Qu |
| 2024 | IJCNN | HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer. | Kexin Shi, Hanwen Liu, Yi Chen, Hong Qu |
| 2024 | IJCNN | Attention-Based Deep Neural Network for Point Cloud Learning. | Tianlei Wang, Keyu Chen, Ma Luo, Hong Qu |
| 2023 | AAAI | Substructure Aware Graph Neural Networks. | Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu |
| 2023 | ACL | Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. | Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu |
| 2023 | EMNLP | Adaptive Textual Label Noise Learning based on Pre-trained Models. | Shaohuan Cheng, Wenyu Chen, Mingsheng Fu, Xuanting Xie, Hong Qu |
| 2023 | ICASSP | Rethinking Random Walk in Graph Representation Learning. | Dingyi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, Hong Qu |
| 2023 | ICASSP | Improving Image Captioning with Control Signal of Sentence Quality. | Zhangzi Zhu, Shuai Wang, Hong Qu |
| 2023 | ICCV | Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. | Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen |
| 2023 | IJCAI | Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. | Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu |
| 2023 | IJCNN | A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. | Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu |
| 2022 | ICASSP | Gradual Surrogate Gradient Learning in Deep Spiking Neural Networks. | Yi Chen, Silin Zhang, Shiyu Ren, Hong Qu |
| 2022 | ICASSP | A Simple Graph Neural Network via Layer Sniffer. | Dingyi Zeng, Li Zhou, Wanlong Liu, Hong Qu, Wenyu Chen |
| 2022 | ICONIP | Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. | Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu |
| 2022 | IJCAI | Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. | Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu |
| 2022 | IJCNN | Document-Level Relation Extraction with Structure Enhanced Transformer Encoder. | Wanlong Liu, Li Zhou, Dingyi Zeng, Hong Qu |
| 2022 | IJCNN | Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization. | Shuqing Shi, Xiaobin Wang, Dong Hao, Zhiyou Yang, Hong Qu |
| 2022 | PRICAI | Abbreviated Weighted Graph in Multi-Agent Reinforcement Learning. | Siying Wang, Hongfei Du, Wenyu Chen, Hong Qu |
| 2021 | AAAI | Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. | Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang |
| 2021 | ICAART | Twin-GAN for Neural Machine Translation. | Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu |
| 2021 | ICASSP | Generating Human Readable Transcript for Automatic Speech Recognition with Pre-Trained Language Model. | Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Sefik Emre Eskimez, Liyang Lu, Hong Qu, Michael Zeng |
| 2021 | IJCNN | Improving Zero-shot Neural Machine Translation on Language-specific Encoders- Decoders. | Junwei Liao, Yu Shi, Ming Gong, Linjun Shou, Hong Qu, Michael Zeng |
| 2021 | IJCNN | Bio-inspired Model Based on Global-Local Hybrid Learning in Spiking Neural Network. | Yuchen Wang, Xiaobin Wang, Hong Qu, Ya Zhang, Yi Chen, Xiaoling Luo |
| 2020 | COLING | KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi. | Rubungo Andre Niyongabo, Hong Qu, Julia Kreutzer, Li Huang |
| 2020 | ECAI | A Weighted GCN with Logical Adjacency Matrix for Relation Extraction. | Li Zhou, Tingyu Wang, Hong Qu, Li Huang, Yuguo Liu |
| 2020 | ICONIP | Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding. | Regina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan |
| 2019 | ISKE | Mutual Constraint Learning for Weakly Supervised Object Detection. | Yongsheng Liu, Wenyu Chen, S. M. Hasan Mahmud, Hong Qu, Kebin Miao, Feng Wei, Ziliang Zhang |
| 2018 | IJCNN | Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition. | Rui Xi, Mengshu Hou, Mingsheng Fu, Hong Qu, Daibo Liu |
| 2018 | PRICAI | Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments. | Liwei Huang, Hong Qu, Mingsheng Fu, Wu Deng |
| 2017 | ICONIP | A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks. | Lin Zuo, Shan Chen, Hong Qu, Malu Zhang |
| 2017 | ICONIP | A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network. | Lin Zuo, Linyao Ma, Yanqing Xiao, Malu Zhang, Hong Qu |
| 2014 | ICONIP | Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. | Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu |
| 2013 | DASC | An Improved Search Algorithm Based on Path Compression for Complex Network. | Ye Yuan, Wenyu Chen, Minyu Feng, Hong Qu |
| 2012 | ISNN | The High Degree Seeking Algorithms with k Steps for Complex Networks. | Minyu Feng, Hong Qu, Yi Xu, Xing Ke |
| 2006 | ISNN | Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons. | Hong Qu, Zhang Yi |
| 2005 | ISNN | Theoretical Analysis and Parameter Setting of Hopfield Neural Networks. | Hong Qu, Zhang Yi, XiaoLin Xiang |