When Dr. Hongteng Xu joined our team, we announced that he would “continue his academic research inside Infinia ML, developing the intellectual foundation for advanced business solutions.”
Now, we’re pleased to share that Dr. Xu has already begun rolling out his research, and his work has been accepted by two prestigious conferences taking place this spring.
“Benefits from Superposed Hawkes Processes” will appear at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS). The gathering is one of the top machine learning conferences, with a paper acceptance rate of just 33%.
Dr. Xu and his co-authors, who include Infinia ML Chief Scientist Larry Carin, Ph.D., showed the potential to solve the “cold start” problem for recommendation systems. In other words, it may help the kind of systems that suggest products, movies, or music make better recommendations for new users haven’t given the system much data to work with.
Another of Xu’s papers, “Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer,” has been accepted by the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), a top signal processing conference.
In this paper, Xu and his collaborators proposed a new deep learning technique for inverse tone mapping, a process which helps digital images achieve better visual quality. Their innovation beats the state-of the-art tone mapping methods.
Congratulations Dr. Xu – we’re proud to have you on our team, and we look forward to sharing more of your research with the world!