Computer model learns to identify Twitter users’ evolving interests by analyzing their Tweets.

​​Prof. Zhang is invited to give a talk at CNCC 2018 special track of the most influential computing algorithms, their origin, application, and impact.

Xiangliang Zhang, KAUST associate professor of computer science and principal investigator of the Machine Intelligence & Knowledge Engineering Lab, joined the Computational Bioscience Research Center (CBRC) on July 1, 2018. In CBRC, Xiangliang will work on the problems of modeling biological networks using machine learning models.

Prof. Zhang has been invited to deliver an Early Career Spotlight talk at IJCAI-ECAI 2018 that will be held in Stockholm, Sweden, in July 2018. IJCAI is a prestigious conference on AI.

A paper entitled "Dynamic Embeddings for User Profiling in Twitter" (Shangsong as the first author) and another paper entitled "Multi-label Learning with Highly Incomplete Data via Collaborative Embedding" (Guolei co-authored) have been accepted by KDD 2018 for long presentation.

Rabeah joined MINE Lab recently. Rabeah earned her Ph.D. degree from Pennsylvania State University, University Park, PA, in 2017. Welcome Rabeah!​

Shangsong and Junzhou joined MINE Lab recently. Shangsong earned his Ph.D. degree from the University of Amsterdam in 2015.

​A paper entitled 'WalkRanker: A Unified Pairwise Ranking Model with Multiple Relations for Item Recommendation' has been accepted by AAAI 2018. Congrats to Lu!​

That is not a Messenger troll, but the actual conversation between two chatbots by the Facebook AI Research (FAIR). The two robots, Bob and Alice, were thought the art of negotiation apples and books. They had been instructed to work out how to negotiate between themselves and improve their bartering as they went along. But, after leaving the pair alone, they start talking in this uncompressible but yet effective vocabulary. 

Xiangliang Zhang has been promoted to the rank of Associate Professor in Computer Science.

The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016.

Automated learning of an individual’s movement patterns shared over mobile and social networks could help us to connect better.

On May 11, 2016, Abdulhakim Qahtan successfully defended his Ph.D. dissertation entitled " Efficient Estimation of Dynamic Density Function with Applications in Streaming Data".

Our project proposal is approved for funding by the KAUST Competitive Research Grants Program.