16 citations · 26 across the 9 of their papers we have counts for
9 papers
Learning to Rank Normalized Entropy Curves with Differentiable Window Transformation
Hanyang Liu, Shuai Yang, Feng Qi +1
Recent automated machine learning systems often use learning curves ranking models to inform decisions about when to stop unpromising trials and identify better model configuration…
A framework for massive scale personalized promotion
Yitao Shen, Yue Wang, Xingyu Lu +6
Technology companies building consumer-facing platforms may have access to massive-scale user population. In recent years, promotion with quantifiable incentive has become a popula…
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang, Zhigang Hua, Gan Liu +6
Combinatorial Optimization (CO) has been a long-standing challenging research topic featured by its NP-hard nature. Traditionally such problems are approximately solved with heuris…
Learning to Schedule DAG Tasks
Zhigang Hua, Feng Qi, Gan Liu +1
Scheduling computational tasks represented by directed acyclic graphs (DAGs) is challenging because of its complexity. Conventional scheduling algorithms rely heavily on simple heu…
Language guided machine action
Feng Qi
Here we build a hierarchical modular network called Language guided machine action (LGMA), whose modules process information stream mimicking human cortical network that allows to…
Visualizing and Understanding Vision System
Feng Qi, Guanjun Jiang
How the human vision system addresses the object identity-preserving recognition problem is largely unknown. Here, we use a vision recognition-reconstruction network (RRN) to inves…
Human-like general language processing
Feng Qi, Guanjun Jiang
Using language makes human beings surpass animals in wisdom. To let machines understand, learn, and use language flexibly, we propose a human-like general language processing (HGLP…
Solving Billion-Scale Knapsack Problems
Xingwen Zhang, Feng Qi, Zhigang Hua +1
Knapsack problems (KPs) are common in industry, but solving KPs is known to be NP-hard and has been tractable only at a relatively small scale. This paper examines KPs in a slightl…
Human-like machine thinking: Language guided imagination
Feng Qi, Wenchuan Wu
Human thinking requires the brain to understand the meaning of language expression and to properly organize the thoughts flow using the language. However, current natural language…