The annual IEEE Computer Society Global Student Challenge provides an avenue for students worldwide to create innovative solutions to big data problems. This year’s competition, IEEE CS GSC 2021, encourages each individual or team (max three students) to present solutions to pre-determined problem/issue statement of relevance in CS today.
Zhenwei Tang, a telecommunications graduate from Beijing University of Posts and Telecommunications, China, joined KAUST in January 2021. Tang joined KAUST as a M.S./Ph.D. candidate and member of the Machine Intelligence & kNowledge Engineering (MINE) Lab under the supervision of Professor Xianglinag Zhang.
Lu completed his Ph.D. dissertation entitled “Exploring Entity Relationship in Pairwise Ranking: Adaptive Sampler and Beyond”. During his Ph.D. study at MINE Lab, Lu published papers at KDD (1 paper), AAAI (2 papers), ICDM (1 paper), WWW (2 papers), IJCAI (2 papers), SDM (1 paper), and BigData (1 paper). Lu will join Ant Group (an affiliate company of the Chinese Alibaba Group) as a Senior Algorithm Engineer.
A paper entitled "Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation" has been accepted by NeurIPS 2020. NeurIPS (previously named NIPS) is a flagship conference in machine learning. This year, a total of 9454 papers were submitted to the conference, of which only 1900 were accepted. Congrats to Uchenna!
Zhenwen Liang, 22, is a computer science graduate from the University of Electronic Science and Technology of China (UESTC), China. Zhenwen will join KAUST in the fall of 2020 as a M.S./Ph.D. candidate and member of the Machine Intelligence and kNowledge Engineering research group under the supervision of Professor Xiangliang Zhang.
Xiaochuan Gou, 27, from Dalian, China, will join KAUST in the fall of 2020. He will join KAUST as a Ph.D. candidate and member of the Machine Intelligence and kNowledge Engineering research group under the supervision of Professor Xiangliang Zhang.
Asaad AlGhamdi is a 24-year-old graduate who will join KAUST in the fall from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. Asaad will join the University as a M.S. candidate and member of the Machine Intelligence and kNowledge Engineering research group under the supervision of Professor Xiangliang Zhang.
Hashtags like #covid19 and #coronavirus help us stay up to date on the developments of the new coronavirus pandemic. But beyond breaking news, tweets also offer a glimpse into the emotional side of the COVID-19 crisis.
By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently.
A paper entitled "REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs" and another paper entitled "Attackability Characterization of Adversarial Evasion Attack on Discrete Data" have been accepted by KDD 2020. KDD is a flagship conference in data mining. This year, a total of 1297 papers were submitted to the Research track, of which only 216 were accepted. Congrats to Shichao, Lu, Guoxian, Yutong and Hongyan!
Our first Ph.D. graduate, Dr. Abdulhakim A Qahtan, recently joined Utrecht University, The Netherlands, as an assistant professor in computer science.
Recently, we have several papers published on addressing the problems of Attributed Network Embedding, Recommendation Systems, and Graph Alignment. Congratulations to Uchenna, Basmah, Lu, Shichao, Yujun, and Zaiqiao (Ph.D. students and visiting Ph.D. students), as well as others who contributed to all these papers.