Learning Battles in ViZDoom via Deep Reinforcement Learning. - Kun Shao; Dongbin Zhao; Nannan Li 003; Yuanheng Zhu (CIG, 2018)

Simplified Space Based Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2019)

A Survey of Deep Reinforcement Learning in Video Games. - Kun Shao; Zhentao Tang; Yuanheng Zhu; Nannan Li 003; Dongbin Zhao (CoRR, 2019)

Shift-Invariant Convolutional Network Search. - Nannan Li 003; Yaran Chen; Zixiang Ding; Dongbin Zhao (IJCNN, 2020)

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2020)

Efficient Neural Architecture Search: A Broad Version. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (CoRR, 2020)

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2020)

Heuristic Rank Selection with Progressively Searching Tensor Ring Network. - Nannan Li 003; Yu Pan 005; Yaran Chen; Zixiang Ding; Dongbin Zhao; Zenglin Xu (CoRR, 2020)

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (CoRR, 2021)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2021)

BViT: Broad Attention based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao (CoRR, 2022)

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; Zhiquan Sun; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. - Nannan Li 003; Yaran Chen; Dongbin Zhao (IJCNN, 2023)

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2023)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2023)

BViT: Broad Attention-Based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao; Shuai Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive search for broad attention based vision transformers. - Nannan Li 003; Yaran Chen; Dongbin Zhao (Neurocomputing, 2025)