Peisong Wang, Xiangyu He, Jian Cheng. Toward Accurate Binarized Neural Networks with Sparsity for Mobile Application. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol.35, No.1, pp.272-284,2024.
Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng. FastGL: A GPU-Efficient Framework for Accelerating Sampling-based GNN Training at Large Scale. ACM ASPLOS 2024.
Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. Towards Offline Opponent Modeling with In-context Learning. ICLR 2024.
Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng. PDCFR+: Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI 2024.
Yang Wu, Yifan Zhang, Zhenxing Liang, Jian Cheng. HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming. ICML 2024.
Zhengyang Zhuge, Peisong Wang, Xingting Yao, Jian Cheng. Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration. ICML 2024.
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