111 citations · 380 across the 48 of their papers we have counts for
9 papers · 1 filter
Graduate Employment Prediction with Bias
Teng Guo, Feng Xia, Shihao Zhen +4
The failure of landing a job for college students could cause serious social consequences such as drunkenness and suicide. In addition to academic performance, unconscious biases c…
Learning Multi-level Dependencies for Robust Word Recognition
Zhiwei Wang, Hui Liu, Jiliang Tang +3
Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken…
Multimodal Learning For Classroom Activity Detection
Hang Li, Yu Kang, Wenbiao Ding +4
Classroom activity detection (CAD) focuses on accurately classifying whether the teacher or student is speaking and recording both the length of individual utterances during a clas…
Does Gender Matter? Towards Fairness in Dialogue Systems
Haochen Liu, Jamell Dacon, Wenqi Fan +3
Recently there are increasing concerns about the fairness of Artificial Intelligence (AI) in real-world applications such as computer vision and recommendations. For example, recog…
Say What I Want: Towards the Dark Side of Neural Dialogue Models
Haochen Liu, Tyler Derr, Zitao Liu +1
Neural dialogue models have been widely adopted in various chatbot applications because of their good performance in simulating and generalizing human conversations. However, there…
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
Zitao Liu, Zhexuan Xu, Yan Yan
Items in modern recommender systems are often organized in hierarchical structures. These hierarchical structures and the data within them provide valuable information for building…
Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education
Wenbiao Ding, Guowei Xu, Tianqiao Liu +7
Spoken language proficiency is critically important for children's growth and personal development. Due to the limited and imbalanced educational resources in China, elementary stu…
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study
Guowei Xu, Wenbiao Ding, Jiliang Tang +3
Learning representation has been proven to be helpful in numerous machine learning tasks. The success of the majority of existing representation learning approaches often requires…
R-Transformer: Recurrent Neural Network Enhanced Transformer
Zhiwei Wang, Yao Ma, Zitao Liu +1
Recurrent Neural Networks have long been the dominating choice for sequence modeling. However, it severely suffers from two issues: impotent in capturing very long-term dependencie…