activity
20162024
most citedDeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

154 citations · 498 across the 36 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

cs.LG2019

Generative Temporal Link Prediction via Self-tokenized Sequence Modeling

Yue Wang, Chenwei Zhang, Shen Wang +4

We formalize networks with evolving structures as temporal networks and propose a generative link prediction model, Generative Link Sequence Modeling (GLSM), to predict future link…

cs.CL2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1

Predicting patient mortality is an important and challenging problem in the healthcare domain, especially for intensive care unit (ICU) patients. Electronic health notes serve as a…

cs.LG2019★ 8 cited

Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1

Distributed representations have been used to support downstream tasks in healthcare recently. Healthcare data (e.g., electronic health records) contain multiple modalities of data…

cs.LG2019★ 3 cited

Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking

Yue Wang, Yao Wan, Chenwei Zhang +3

Counterfactual thinking describes a psychological phenomenon that people re-infer the possible results with different solutions about things that have already happened. It helps pe…

cs.IR2019★ 1 cited

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

Ye Liu, Chenwei Zhang, Xiaohui Yan +2

In real-world question-answering (QA) systems, ill-formed questions, such as wrong words, ill word order, and noisy expressions, are common and may prevent the QA systems from unde…

cs.CL2019

Structured Knowledge Discovery from Massive Text Corpus

Chenwei Zhang

Nowadays, with the booming development of the Internet, people benefit from its convenience due to its open and sharing nature. A large volume of natural language texts is being ge…