| 2026 | AAAI | Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution. | Honglin Cao, Shuai Wang, Zijian Zhou, Ammar Belatreche, Wenjie Wei, Yu Liang, Yu Yang, Rui Xi, Malu Zhang, Haizhou Li |
| 2026 | AAAI | HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference. | Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang |
| 2026 | AAAI | Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers. | Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang |
| 2026 | ACL | Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models. | Xudong Wang, Chaoning Zhang, Chenghao Li, Shuxu Chen, Qigan Sun, Jiaquan Zhang, Fachrina Dewi Puspitasari, Tae-Ho Kim, Jiwei Wei, Malu Zhang, Guoqing Wang, Yang Yang, Heng Tao Shen |
| 2025 | AAAI | Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism. | Yu Liang, Wenjie Wei, Ammar Belatreche, Honglin Cao, Zijian Zhou, Shuai Wang, Malu Zhang, Yang Yang |
| 2025 | AAAI | Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning. | Yimeng Shan, Malu Zhang, Ruijie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu |
| 2025 | AAAI | Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing. | Dingyi Zeng, Yuchen Wang, Honglin Cao, Wanlong Liu, Yichen Xiao, Chengzhuo Lu, Wenyu Chen, Malu Zhang, Guoqing Wang, Yang Yang |
| 2025 | COLING | A Compressive Memory-based Retrieval Approach for Event Argument Extraction. | Wanlong Liu, Enqi Zhang, Shaohuan Cheng, Dingyi Zeng, Li Zhou, Chen Zhang, Malu Zhang, Wenyu Chen |
| 2025 | CVPR | Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers. | Yichen Xiao, Shuai Wang, Dehao Zhang, Wenjie Wei, Yimeng Shan, Xiaoli Liu, Yulin Jiang, Malu Zhang |
| 2025 | ICASSP | Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models. | Wanlong Liu, Yichen Xiao, Dingyi Zeng, Hongyang Zhao, Wenyu Chen, Malu Zhang |
| 2025 | ICASSP | Enhancing Document-Level Relation Extraction through Entity-Pair-Level Interaction Modeling. | Wanlong Liu, Dingyi Zeng, Li Zhou, Yichen Xiao, Malu Zhang, Wenyu Chen |
| 2025 | ICASSP | Decoupled Feature Matching for Few-shot Counting and Localization. | Chao Zhai, Fan Zhang, Wenyu Chen, Malu Zhang, Fan Li, Xuanting Xie |
| 2025 | ICASSP | Memory-Free and Parallel Computation for Quantized Spiking Neural Networks. | Dehao Zhang, Shuai Wang, Yichen Xiao, Wenjie Wei, Yimeng Shan, Malu Zhang, Yang Yang |
| 2025 | ICLR | Quantized Spike-driven Transformer. | Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li |
| 2025 | ICLR | Spiking Vision Transformer with Saccadic Attention. | Shuai Wang, Malu Zhang, Dehao Zhang, Ammar Belatreche, Yichen Xiao, Yu Liang, Yimeng Shan, Qian Sun, Enqi Zhang, Yang Yang |
| 2025 | ICLR | QP-SNN: Quantized and Pruned Spiking Neural Networks. | Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang |
| 2025 | ICML | BSO: Binary Spiking Online Optimization Algorithm. | Yu Liang, Yu Yang, Wenjie Wei, Ammar Belatreche, Shuai Wang, Malu Zhang, Yang Yang |
| 2025 | IJCAI | Binary Event-Driven Spiking Transformer. | Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li |
| 2024 | AAAI | Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition. | Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li |
| 2024 | AAAI | A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. | Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li |
| 2024 | ACL | Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction. | Wanlong Liu, Li Zhou, Dingyi Zeng, Yichen Xiao, Shaohuan Cheng, Chen Zhang, Grandee Lee, Malu Zhang, Wenyu Chen |
| 2024 | ECCV | Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal. | Yeying Jin, Xin Li, Jiadong Wang, Yan Zhang, Malu Zhang |
| 2024 | ICASSP | Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. | Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li |
| 2024 | IJCAI | LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. | Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li |
| 2024 | Interspeech | Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. | Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang |
| 2023 | AAAI | Substructure Aware Graph Neural Networks. | Dingyi Zeng, Wanlong Liu, Wenyu Chen, Li Zhou, Malu Zhang, Hong Qu |
| 2023 | CVPR | Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert. | Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T. Tan, Haizhou Li |
| 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 | A Hybrid Learning Framework for Deep Spiking Neural Networks with One-Spike Temporal Coding. | Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li |
| 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 |
| 2021 | AAAI | Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. | Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang |
| 2021 | ICRA | GCC-PHAT with Speech-oriented Attention for Robotic Sound Source Localization. | Jiadong Wang, Xinyuan Qian, Zihan Pan, Malu Zhang, Haizhou Li |
| 2019 | AAAI | MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. | Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li |
| 2019 | IJCNN | Neural Population Coding for Effective Temporal Classification. | Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua |
| 2019 | IJCNN | Deep Spiking Neural Network with Spike Count based Learning Rule. | Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li |
| 2019 | IJCNN | Competitive STDP-based Feature Representation Learning for Sound Event Classification. | Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua |
| 2019 | Interspeech | Robust Sound Recognition: A Neuromorphic Approach. | Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li |
| 2018 | ICPR | Botnet Detection based on Fuzzy Association Rules. | Jiazhong Lu, Fengmao Lv, Quan-Hui Liu, Malu Zhang, Xiaosong Zhang |
| 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 |