Semi-Automatic Neuron Tracing in Electron Microscope Images: Preliminary Results. - Deli Wang; Weijie Liu 006; Nenggan Zheng; Ting Zhao (iThings/GreenCom/CPSCom/SmartData, 2018)

A Decentralized Proximal Point-type Method for Saddle Point Problems. - Weijie Liu 006; Aryan Mokhtari; Asuman E. Ozdaglar; Sarath Pattathil; Zebang Shen; Nenggan Zheng (CoRR, 2019)

Accelerating Stratified Sampling SGD by Reconstructing Strata. - Weijie Liu 006; Hui Qian 001; Chao Zhang 029; Zebang Shen; Jiahao Xie 001; Nenggan Zheng (IJCAI, 2020)

Partial Gromov-Wasserstein Learning for Partial Graph Matching. - Weijie Liu 006; Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Hui Qian 001; Nenggan Zheng (CoRR, 2020)

Approximating Optimal Transport via Low-rank and Sparse Factorization. - Weijie Liu 006; Chao Zhang 029; Nenggan Zheng; Hui Qian 001 (CoRR, 2021)

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. - Weijie Liu 006; Hui Qian 001; Chao Zhang 029; Jiahao Xie 001; Zebang Shen; Nenggan Zheng (AAAI, 2022)

SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. - Weijie Liu 006; Chao Zhang 029; Nenggan Zheng; Hui Qian 001 (CoRR, 2022)

Towards Optimal Randomized Strategies in Adversarial Example Game. - Jiahao Xie 001; Chao Zhang 029; Weijie Liu 006; Wensong Bai; Hui Qian 001 (AAAI, 2023)

CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. - Jiahao Xie 001; Chao Zhang 029; Zebang Shen; Weijie Liu 006; Hui Qian 001 (AAAI, 2023)

Robust Graph Dictionary Learning. - Weijie Liu 006; Jiahao Xie 001; Chao Zhang 029; Makoto Yamada; Nenggan Zheng; Hui Qian 001 (ICLR, 2023)

Many-to-Many Matching via Sparsity Controlled Optimal Transport. - Weijie Liu 006; Han Bao 002; Makoto Yamada; Zenan Huang; Nenggan Zheng; Hui Qian 001 (CoRR, 2025)