65 citations · 82 across the 7 of their papers we have counts for
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cs.LG2023
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
Shantanu Ghosh, Zheng Feng, Jiang Bian +2
Determining causal effects of interventions onto outcomes from real-world, observational (non-randomized) data, e.g., treatment repurposing using electronic health records, is chal…
cs.LG2022★ 15 cited
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Zhen Wang, Zheng Feng, Yanjun Li +5
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open chal…
cs.LG2018
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan, Zheng Feng, Matthew Norton +1
Utilizing recently introduced concepts from statistics and quantitative risk management, we present a general variant of Batch Normalization (BN) that offers accelerated convergenc…