6 citations · 20 across the 11 of their papers we have counts for
11 papers
From Trait to Behavior: A Cognitive-Affective Personality System (CAPS) Perspective on Multi-Homing Intention in AIGC Platforms
Xuchao Zhang, Jihye Lee
With the rapid development of Artificial Intelligence Generated Content (AIGC) platforms, users increasingly show cross-platform usage intentions. Existing research focuses on adop…
The Comparative Trap: How Social Comparison Orientation Drives Problematic Generative AI (GenAI) Use
Xuchao Zhang, Jihye Lee
Although Generative AI (GenAI) improves task efficiency in the short term, it creates competitive pressures that perpetuate individuals' fear of being eliminated, thereby increasin…
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
Shuo Lei, Xuchao Zhang, Jianfeng He +2
Meta-learning has emerged as a trending technique to tackle few-shot text classification and achieve state-of-the-art performance. However, the performance of existing approaches h…
LANS: Large-scale Arabic News Summarization Corpus
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He +1
Text summarization has been intensively studied in many languages, and some languages have reached advanced stages. Yet, Arabic Text Summarization (ATS) is still in its developing…
Mitigating Uncertainty in Document Classification
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu +1
The uncertainty measurement of classifiers' predictions is especially important in applications such as medical diagnoses that need to ensure limited human resources can focus on t…
Robust Regression via Online Feature Selection under Adversarial Data Corruption
Xuchao Zhang, Shuo Lei, Liang Zhao +2
The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when feature…
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
Zhiqian Chen, Feng Chen, Rongjie Lai +2
For node level graph encoding, a recent important state-of-art method is the graph convolutional networks (GCN), which nicely integrate local vertex features and graph topology in…
Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding
Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu +1
As the issue of freshwater shortage is increasing daily, it is critical to take effective measures for water conservation. According to previous studies, device level consumption c…
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
Xuchao Zhang, Liang Zhao, Zhiqian Chen +1
Self-paced learning (SPL) mimics the cognitive process of humans, who generally learn from easy samples to hard ones. One key issue in SPL is the training process required for each…
Multimodal Storytelling via Generative Adversarial Imitation Learning
Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo +2
Deriving event storylines is an effective summarization method to succinctly organize extensive information, which can significantly alleviate the pain of information overload. The…
Online and Distributed Robust Regressions under Adversarial Data Corruption
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo +1
In today's era of big data, robust least-squares regression becomes a more challenging problem when considering the adversarial corruption along with explosive growth of datasets.…