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Xuanqing Liu

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Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function

Oct 18, 2023
Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao

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Label Disentanglement in Partition-based Extreme Multilabel Classification

Jun 24, 2021
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

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How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers

Oct 19, 2020
Yuanhao Xiong, Xuanqing Liu, Li-Cheng Lan, Yang You, Si Si, Cho-Jui Hsieh

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Improving the Speed and Quality of GAN by Adversarial Training

Aug 07, 2020
Jiachen Zhong, Xuanqing Liu, Cho-Jui Hsieh

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Provably Robust Metric Learning

Jun 12, 2020
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

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Evaluations and Methods for Explanation through Robustness Analysis

May 31, 2020
Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh

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Learning to Encode Position for Transformer with Continuous Dynamical Model

Mar 13, 2020
Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh

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Gradient Boosting Neural Networks: GrowNet

Feb 19, 2020
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing, Avradeep Bhowmik, Sathiya S. Keerthi

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GraphDefense: Towards Robust Graph Convolutional Networks

Nov 11, 2019
Xiaoyun Wang, Xuanqing Liu, Cho-Jui Hsieh

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A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

Oct 30, 2019
Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh

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