Evolution of Intracellular Ca2+ Waves from about 10, 000 RyR Clusters: Towards Solving a Computationally Daunting Task. - Pan Li 002; Wenjie Wei; Xing Cai; Christian Soeller; Mark B. Cannell; Arun V. Holden (FIMH, 2009)

Numerical Analysis of a Dual-Sediment Transport Model Applied to Lake Okeechobee, Florida. - Stuart R. Clark; Wenjie Wei; Xing Cai (ISPDC, 2010)

An OpenMP-enabled parallel simulator for particle transport in fluid flows. - Wenjie Wei; Omar al-Khayat; Xing Cai (ICCS, 2011)

Using 1000+ GPUs and 10000+ CPUs for Sedimentary Basin Simulations. - Mei Wen; Huayou Su; Wenjie Wei; Nan Wu 003; Xing Cai; Chunyuan Zhang (CLUSTER, 2012)

High efficient sedimentary basin simulations on hybrid CPU-GPU clusters. - Mei Wen; Huayou Su; Wenjie Wei; Nan Wu 003; Xing Cai; Chunyuan Zhang (Clust. Comput., 2014)

Applying Chinese Semantic Collocation Knowledge to Semantic Error Reasoning. - Yangsen Zhang; Wenjie Wei; Ruoyu Chen 002; Gaijuan Huang (CLSW, 2018)

Microblog Sentiment Classification Method Based on Dual Attention Mechanism and Bidirectional LSTM. - Wenjie Wei; Yangsen Zhang; Ruixue Duan; Wen Zhang (CLSW, 2019)

A Bibliometric Profile of Research on Rough Sets. - Wenjie Wei; Duoqian Miao; Yuxiang Li (IJCRS, 2019)

Abstractive Summarization via Discourse Relation and Graph Convolutional Networks. - Wenjie Wei; Hongling Wang; Zhongqing Wang (NLPCC (2), 2020)

Matrix-based method for solving decision domains of neighbourhood multigranulation decision-theoretic rough sets. - Jiajun Chen; Shuhao Yu; Wenjie Wei; Yan Ma (CAAI Trans. Intell. Technol., 2022)

Cover papers of top journals are reliable source for emerging topics detection: a machine learning based prediction framework. - Wenjie Wei; Hongxu Liu; Zhuanlan Sun (Scientometrics, 2022)

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. - Wenjie Wei; Malu Zhang; Hong Qu; Ammar Belatreche; Jian Zhang 020; Hong Chen 002 (ICCV, 2023)

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 (INTERSPEECH, 2024)

Q-SNNs: Quantized Spiking Neural Networks. - Wenjie Wei; Yu Liang; Ammar Belatreche; Yichen Xiao; Honglin Cao; Zhenbang Ren; Guoqing Wang 003; Malu Zhang; Yang Yang 060 (ACM Multimedia, 2024)

Spike-based Neuromorphic Model for Sound Source Localization. - Dehao Zhang; Shuai Wang; Ammar Belatreche; Wenjie Wei; Yichen Xiao; Haorui Zheng; Zijian Zhou 005; Malu Zhang; Yang Yang 060 (NeurIPS, 2024)

Event-Driven Learning for Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Jilin Zhang; Ammar Belatreche; Jibin Wu; Zijing Xu; Xuerui Qiu; Hong Chen 002; Yang Yang 002; Haizhou Li 001 (CoRR, 2024)

Sensitivity-Informed Augmentation for Robust Segmentation. - Laura Y. Zheng; Wenjie Wei; Tony Wu; Jacob Clements; Shreelekha Revankar; Andre Harrison; Yu Shen; Ming C. Lin (CoRR, 2024)

Q-SNNs: Quantized Spiking Neural Networks. - Wenjie Wei; Yu Liang; Ammar Belatreche; Yichen Xiao; Honglin Cao; Zhenbang Ren; Guoqing Wang 001; Malu Zhang; Yang Yang 002 (CoRR, 2024)

Ternary Spike-based Neuromorphic Signal Processing System. - Shuai Wang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Hongyu Qing; Wenjie Wei; Malu Zhang; Yang Yang 002 (CoRR, 2024)

Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism. - Yu Liang; Wenjie Wei; Ammar Belatreche; Honglin Cao; Zijian Zhou 005; Shuai Wang; Malu Zhang; Yang Yang 002 (AAAI, 2025)

Cross-Domain Fake News Detection based on Dual-Granularity Adversarial Training. - Wenjie Wei; Yanyue Zhang; Jinyan Li; Panfei Liu; Deyu Zhou (COLING, 2025)

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 (CVPR, 2025)

Memory-Free and Parallel Computation for Quantized Spiking Neural Networks. - Dehao Zhang; Shuai Wang; Yichen Xiao; Wenjie Wei; Yimeng Shan; Malu Zhang; Yang Yang 002 (ICASSP, 2025)

Quantized Spike-driven Transformer. - Xuerui Qiu; Malu Zhang; Jieyuan Zhang; Wenjie Wei; Honglin Cao; Junsheng Guo; Rui-Jie Zhu 003; Yimeng Shan; Yang Yang 002; Haizhou Li 001 (ICLR, 2025)

QP-SNN: Quantized and Pruned Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Zijian Zhou 005; Ammar Belatreche; Yimeng Shan; Yu Liang; Honglin Cao; Jieyuan Zhang; Yang Yang (ICLR, 2025)

ESTSformer: Efficient spatio-temporal spiking transformer. - Chengzhuo Lu; Huilin Du; Wenjie Wei; Qian Sun; Yuchen Wang; Dingyi Zeng; Wenyu Chen 001; Malu Zhang; Yang Yang 002 (Neural Networks, 2025)

Ternary spike-based neuromorphic signal processing system. - Shuai Wang; Dehao Zhang; Ammar Belatreche; Yichen Xiao; Hongyu Qing; Wenjie Wei; Malu Zhang; Yang Yang (Neural Networks, 2025)

Binary Event-Driven Spiking Transformer. - Honglin Cao; Zijian Zhou 005; Wenjie Wei; Ammar Belatreche; Yu Liang; Dehao Zhang; Malu Zhang; Yang Yang 002; Haizhou Li 001 (CoRR, 2025)

QP-SNN: Quantized and Pruned Spiking Neural Networks. - Wenjie Wei; Malu Zhang; Zijian Zhou 005; Ammar Belatreche; Yimeng Shan; Yu Liang; Honglin Cao; Jieyuan Zhang; Yang Yang 002 (CoRR, 2025)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks. - Yimeng Shan; Zhenbang Ren; Haodi Wu; Wenjie Wei; Rui-Jie Zhu 003; Shuai Wang; Dehao Zhang; Yichen Xiao; Jieyuan Zhang; Kexin Shi; Jingzhinan Wang; Jason K. Eshraghian; et al. (CoRR, 2025)

Toward Energy-Efficient Spike-Based Deep Reinforcement Learning With Temporal Coding. - Malu Zhang; Shuai Wang; Jibin Wu; Wenjie Wei; Dehao Zhang; Zijian Zhou 005; Siying Wang 002; Fan Zhang 068; Yang Yang 002 (IEEE Comput. Intell. Mag., 2025)

What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips. - Renjie Li; Wenjie Wei; Qi Xin; Xiaoli Liu; Sixuan Mao; Erik Ma; Zijian Chen; Malu Zhang; Haizhou Li 001; Zhaoyu Zhang (CoRR, 2025)

Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformer. - Jingya Wang; Xin Deng; Wenjie Wei; Dehao Zhang; Shuai Wang; Qian Sun; Jieyuan Zhang; Hanwen Liu; Ning Xie; Malu Zhang (CoRR, 2025)