pengjun wang — accepted AI-conference papers

2026

Rethinking Time-Series Imputation as Conditional Inference along Temporal Evolution

Yu Fan, Yang Yang, Yufan Guo, Huazhong Yang, pengjun wang

ICML 2026poster

Real-world time-series data often suffer from missing observations, hindering long-range temporal modeling. However, most existing imputation methods formulate imputation as conditional reconstruction over limited context, which restricts temporal information propagation and fails to explicitly mode…

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2022

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

Tianlong Chen, Zhenyu Zhang, pengjun wang, Santosh Balachandra, Haoyu Ma, Zehao Wang +1

ICLR 2022poster

Recent studies demonstrate the deep networks, even robustified by the state-of-the-art adversarial training (AT), still suffer from large robust generalization gaps, in addition to the much more expensive training costs than standard training. In this paper, we investigate this intriguing problem fr…

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