| 2026 | AAAI | Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective. | Haidong Kang, Lianbo Ma, Pengjun Chen, Qiang He, Bo Yi |
| 2026 | WWW | Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation. | Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2026 | SIGIR | Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models. | Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun |
| 2025 | AAAI | HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning. | Jianfeng Li, Jiawen Zhang, Feng Wang, Lianbo Ma |
| 2025 | AAAI | Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective. | Kaifang Long, Guoyang Xie, Lianbo Ma, Jiaqi Liu, Zhichao Lu |
| 2025 | CEC | Evolutionary Graph Fusion Architecture Search. | Aohan Mei, Nan Li, Tian Zhang, Lianbo Ma |
| 2025 | ICANN | MRT-NAS: Boosting Training-Free NAS via Manifold Regularization. | Pengjun Chen, Yanqiao Zhu, Jian Gao, Haidong Kang, Lianbo Ma |
| 2025 | ICCV | Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS. | Haidong Kang, Lianbo Ma, Pengjun Chen, Guo Yu, Xingwei Wang, Min Huang |
| 2025 | ICML | Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning. | Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu |
| 2025 | IJCAI | Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization. | Haidong Kang, Lianbo Ma, Guo Yu, Shangce Gao |
| 2025 | IJCAI | Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS. | Nan Li, Bing Xue, Lianbo Ma, Mengjie Zhang |
| 2025 | IJCNN | Enhanced Neural Architecture Search with Multi-Dimensional Curriculum Learning for Defect Detection. | Yibo Yong, Lianbo Ma |
| 2025 | USENIX | Minos : A Lightweight and Dynamic Defense against Traffic Analysis in Programmable Data Planes. | Zihao Wang, Qing Li, Guorui Xie, Dan Zhao, Kejun Li, Zhuochen Fan, Lianbo Ma, Yong Jiang |
| 2024 | AAAI | One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training. | Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li |
| 2024 | IJCNN | When NAS Meets Anomaly Detection: In Search of Resource-Efficient Architectures in Surveillance Video. | Haidong Kang, Lianbo Ma, Nan Li, Jianlun Ma, Jian Cheng |
| 2024 | IJCNN | Neural Architecture Search based on Brain Storm Optimization Algorithm for Face Detection. | Tian Zhang, Nan Li, Haidong Kang, Jianing Liu, Hongjiang Wang, Lianbo Ma |
| 2023 | ICDM | Information extraction of Chinese medical electronic records via evolutionary neural architecture search. | Tian Zhang, Nan Li, Yuee Zhou, Wei Cai, Lianbo Ma |
| 2020 | CEC | Multi/Many-Objective Optimization Via A New Preference Indicator. | Lianbo Ma, Mingli Shi, Rui Wang, Shengminjie Chen, Junfei Zhao, Xiaolong Shen |
| 2020 | CEC | Handling Constrained Multi-Objective optimization with Objective Space Mapping to Decision Space Based on Extreme Learning Machine. | Hao Zhang, Tao Ku, Lianbo Ma, Yibo Yong |
| 2019 | CEC | PBAR: Parallelized Brain Storm Optimization for Association Rule Mining. | Lianbo Ma, Tao Zhang, Rui Wang, Guangming Yang, Yichuan Zhang |
| 2019 | CEC | Brain Storm Optimization Algorithm Based on Improved Clustering Approach Using Orthogonal Experimental Design. | Rui Wang, Lianbo Ma, Tao Zhang, Shi Cheng, Yuhui Shi |
| 2019 | ICTAI | MOPNAR-II: An Improved Multi-Objective Evolutionary Algorithm for Mining Positive and Negative Association Rules. | Tao Zhang, Lianbo Ma, Guangming Yang |