183 citations · 2.2k across the 143 of their papers we have counts for
6 papers · 1 filter
Acceleration of Federated Learning with Alleviated Forgetting in Local Training
Chencheng Xu, Zhiwei Hong, Minlie Huang +1
Federated learning (FL) enables distributed optimization of machine learning models while protecting privacy by independently training local models on each client and then aggregat…
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Chencheng Xu, Qiao Liu, Minlie Huang +1
A major challenge in the pharmaceutical industry is to design novel molecules with specific desired properties, especially when the property evaluation is costly. Here, we propose…
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Yuexiang Xie, Zhen Wang, Yaliang Li +6
High-order interactive features capture the correlation between different columns and thus are promising to enhance various learning tasks on ubiquitous tabular data. To automate t…
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Kaidi Xu, Zhouxing Shi, Huan Zhang +6
Linear relaxation based perturbation analysis (LiRPA) for neural networks, which computes provable linear bounds of output neurons given a certain amount of input perturbation, has…
Robustness Verification for Transformers
Zhouxing Shi, Huan Zhang, Kai-Wei Chang +2
Robustness verification that aims to formally certify the prediction behavior of neural networks has become an important tool for understanding model behavior and obtaining safety…
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm
Han Xiao, Minlie Huang, Xiaoyan Zhu
Knowledge representation is a long-history topic in AI, which is very important. A variety of models have been proposed for knowledge graph embedding, which projects symbolic entit…