no code implementations • EMNLP 2020 • Shen Wang, Xiaokai Wei, Cicero Nogueira dos santos, Zhiguo Wang, Ramesh Nallapati, Andrew Arnold, Bing Xiang, Philip S. Yu
Existing knowledge graph embedding approaches concentrate on modeling symmetry/asymmetry, inversion, and composition typed relations but overlook the hierarchical nature of relations.
no code implementations • 9 Mar 2023 • Xiaokai Wei, Sujan Gonugondla, Wasi Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Such large models incur significant resource usage (in terms of memory, latency, and dollars) as well as carbon footprint.
no code implementations • NAACL (GeBNLP) 2022 • Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew Arnold
People frequently interact with information retrieval (IR) systems, however, IR models exhibit biases and discrimination towards various demographics.
1 code implementation • Findings (NAACL) 2022 • Danilo Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew Arnold, Dan Roth
Our model is able to explain a given hypothesis by systematically generating a step-by-step explanation from textual premises.
no code implementations • NAACL 2022 • Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew Arnold, Xiang Ren
We evaluate PTLM's ability to adapt to new corpora while retaining learned knowledge in earlier corpora.
no code implementations • 16 Oct 2021 • Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew Arnold
This new paradigm has revolutionized the entire field of natural language processing, and set the new state-of-the-art performance for a wide variety of NLP tasks.
2 code implementations • NAACL 2021 • Dejiao Zhang, Feng Nan, Xiaokai Wei, Shangwen Li, Henghui Zhu, Kathleen McKeown, Ramesh Nallapati, Andrew Arnold, Bing Xiang
Unsupervised clustering aims at discovering the semantic categories of data according to some distance measured in the representation space.
Ranked #1 on Short Text Clustering on AG News
no code implementations • 11 Sep 2018 • Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks, where a meta-graph is a composition of meta-paths that captures the complex structural information.
no code implementations • 7 Nov 2017 • Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
The results indicate that once we remove contaminants from the datasets, we can significantly improve both malware detection rate and detection accuracy
Cryptography and Security
no code implementations • 2 May 2017 • Xiaokai Wei, Bokai Cao, Philip S. Yu
In this paper, we study unsupervised feature selection for multi-view data, as class labels are usually expensive to obtain.
no code implementations • WWW '17 2017 • Xiaokai Wei, Linchuan Xu, Bokai Cao and Philip S. Yu
In this paper, we study the problem of Cross View Link Prediction (CVLP) on partially observable networks, where the focus is to recommend nodes with only links to nodes with only attributes (or vice versa).
no code implementations • 27 Sep 2016 • Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
Third, how to leverage the consistent and complementary information from different views to improve the feature selection in the situation when the data are too big or come in as streams?