86 citations · 166 across the 15 of their papers we have counts for
15 papers
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
Langming Liu, Xiangyu Zhao, Chi Zhang +7
Transformer models have achieved remarkable success in sequential recommender systems (SRSs). However, computing the attention matrix in traditional dot-product attention mechanism…
Towards Robust Knowledge Tracing Models via k-Sparse Attention
Shuyan Huang, Zitao Liu, Xiangyu Zhao +2
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interaction sequences. With the advanced capability of capturing contextu…
MLPST: MLP is All You Need for Spatio-Temporal Prediction
Zijian Zhang, Ze Huang, Zhiwei Hu +6
Traffic prediction is a typical spatio-temporal data mining task and has great significance to the public transportation system. Considering the demand for its grand application, w…
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Qian Ma, Zijian Zhang, Xiangyu Zhao +5
With the acceleration of urbanization, traffic forecasting has become an essential role in smart city construction. In the context of spatio-temporal prediction, the key lies in ho…
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
Zijian Zhang, Xiangyu Zhao, Qidong Liu +6
In the era of information explosion, spatio-temporal data mining serves as a critical part of urban management. Considering the various fields demanding attention, e.g., traffic st…
Human Motion Transfer with 3D Constraints and Detail Enhancement
Yang-Tian Sun, Qian-Cheng Fu, Yue-Ren Jiang +4
We propose a new method for realistic human motion transfer using a generative adversarial network (GAN), which generates a motion video of a target character imitating actions of…
Automatic Short Answer Grading via Multiway Attention Networks
Tiaoqiao Liu, Wenbiao Ding, Zhiwei Wang +3
Automatic short answer grading (ASAG), which autonomously score student answers according to reference answers, provides a cost-effective and consistent approach to teaching profes…
A Multimodal Alerting System for Online Class Quality Assurance
Jiahao Chen, Hang Li, Wenxin Wang +3
Online 1 on 1 class is created for more personalized learning experience. It demands a large number of teaching resources, which are scarce in China. To alleviate this problem, we…
Deep Knowledge Tracing with Side Information
Zhiwei Wang, Xiaoqin Feng, Jiliang Tang +2
Monitoring student knowledge states or skill acquisition levels known as knowledge tracing, is a fundamental part of intelligent tutoring systems. Despite its inherent challenges,…
Recommender Systems with Heterogeneous Side Information
Tianqiao Liu, Zhiwei Wang, Jiliang Tang +3
In modern recommender systems, both users and items are associated with rich side information, which can help understand users and items. Such information is typically heterogeneou…
A Novel ILP Framework for Summarizing Content with High Lexical Variety
Wencan Luo, Fei Liu, Zitao Liu +1
Summarizing content contributed by individuals can be challenging, because people make different lexical choices even when describing the same events. However, there remains a sign…
Automatic Summarization of Student Course Feedback
Wencan Luo, Fei Liu, Zitao Liu +1
Student course feedback is generated daily in both classrooms and online course discussion forums. Traditionally, instructors manually analyze these responses in a costly manner. I…
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu +5
User experience in modern content discovery applications critically depends on high-quality personalized recommendations. However, building systems that provide such recommendation…
Sparse Linear Dynamical System with Its Application in Multivariate Clinical Time Series
Zitao Liu, Milos Hauskrecht
Linear Dynamical System (LDS) is an elegant mathematical framework for modeling and learning multivariate time series. However, in general, it is difficult to set the dimension of…
A Comparative Study on Linguistic Feature Selection in Sentiment Polarity Classification
Zitao Liu
Sentiment polarity classification is perhaps the most widely studied topic. It classifies an opinionated document as expressing a positive or negative opinion. In this paper, using…