Wu, Pengcheng

14 publications

NeurIPS 2025 Continual Optimization with Symmetry Teleportation for Multi-Task Learning Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao

ICML 2025 Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao

NeurIPS 2025 Exploring Tradeoffs Through Mode Connectivity for Multi-Task Learning Zhipeng Zhou, Ziqiao Meng, Pengcheng Wu, Peilin Zhao, Chunyan Miao

AAAI 2025 HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen

ICML 2025 NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao

ICML 2025 Self-Bootstrapping for Versatile Test-Time Adaptation Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen

ICML 2024 Test-Time Model Adaptation with Only Forward Passes Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao

AAAI 2023 Efficient Training of Large-Scale Industrial Fault Diagnostic Models Through Federated Opportunistic Block Dropout Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu

IJCAI 2023 FedOBD: Opportunistic Block Dropout for Efficiently Training Large-Scale Neural Networks Through Federated Learning Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu

AAAI 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao

IJCAI 2015 Online Learning to Rank for Content-Based Image Retrieval Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li

AAAI 2014 Learning Relative Similarity by Stochastic Dual Coordinate Ascent Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi

ICML 2012 Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu

ICML 2004 Improving SVM Accuracy by Training on Auxiliary Data Sources Pengcheng Wu, Thomas G. Dietterich