WegFormer: Transformers for Weakly Supervised Semantic Segmentation. - Chunmeng Liu; Enze Xie; Wenjia Wang; Wenhai Wang; Guangyao Li; Ping Luo 002 (CoRR, 2022)

On a generalization of the spectral Mantel's theorem. - Chunmeng Liu; Changjiang Bu (J. Comb. Optim., 2023)

MECPformer: multi-estimations complementary patch with CNN-transformers for weakly supervised semantic segmentation. - Chunmeng Liu; Guangyao Li; Yao Shen; Ruiqi Wang (Neural Comput. Appl., 2023)

Measuring Affinity: Similarity-Based Auxiliary Unlabeled Guidance for Few-Shot Segmentation. - Yao Shen; Chunmeng Liu; Hanlin Chen; Kaiyang Zeng; Guangyao Li (ICANN (3), 2024)

Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation. - Yao Shen; Ziwei Wei; Chunmeng Liu; Shuming Wei; Qi Zhao; Kaiyang Zeng; Guangyao Li (CoRR, 2024)

The high order spectral extremal results for graphs and their applications. - Chunmeng Liu; Jiang Zhou; Changjiang Bu (Discret. Appl. Math., 2024)

PCSformer: Pair-wise Cross-scale Sub-prototypes mining with CNN-transformers for weakly supervised semantic segmentation. - Chunmeng Liu; Yao Shen; Qingguo Xiao; Guangyao Li (Neurocomputing, 2024)

WegFormer: Transformers for weakly supervised semantic segmentation. - Chunmeng Liu; Guangyao Li (Expert Syst. J. Knowl. Eng., 2024)

A tensor's spectral bound on the clique number. - Chunmeng Liu; Changjiang Bu (Discret. Math., 2026)