• Publications
  • Influence
DRN: A Deep Reinforcement Learning Framework for News Recommendation
A Deep Q-Learning based recommendation framework, which can model future reward explicitly, is proposed, which considers user return pattern as a supplement to click / no click label in order to capture more user feedback information. Expand
Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
The analyses of model performance data submitted in the IMPROVER Diagnostic Signature Challenge as well as additional simulations that are performed revealed that the quality of predictions depends more on the disease endpoint than on the particular approaches used in the challenge; the most important modeling factor is problem dependent. Expand
The GEOTRACES Intermediate Data Product 2017
The GEOTRACES Intermediate Data Product 2017 (IDP2017) is the second publicly available data product of the international GEOTRACES programme, and contains data measured and quality controlled beforeExpand
A review: Knowledge reasoning over knowledge graph
The basic concept and definitions of knowledge reasoning and the methods for reasoning over knowledge graphs are reviewed, and the reasoning methods are dissected into three categories: rule- based reasoning, distributed representation-based reasoning and neural network-based Reasoning. Expand
Optimal design in collaborative design network
This work analyzes how choice of agent interface affects the computational complexity of collaborative design and proposes a set of algorithms that allow agents to produce an overall optimal design by autonomous local evaluation of local designs. Expand
Application of a generalized Senator-Bapat perturbation technique to nonlinear dynamical systems with an irrational restoring force
  • S. Lai, Yang Xiang
  • Computer Science, Mathematics
  • Comput. Math. Appl.
  • 1 October 2010
This paper presents an alternative approach for mathematical modeling of an oscillating system with an irrational restoring force that not only solves the nonlinear problem without the requirement of small parameters, but also provides highly accurate solutions for small as well as large amplitudes of motion. Expand
Bilevel programming applied to optimising urban transportation
It is proved that under realistic conditions the sequence of (traffic flows, green-times, prices) triples generated by the algorithm does indeed approach those triples which possess a reasonable local optimality property. Expand
Data-Driven Cyber Security in Perspective—Intelligent Traffic Analysis
A new research methodology of data-driven cyber security (DDCS) and its application in social and Internet traffic analysis is demonstrated and challenges and future directions in this field are discussed. Expand
Cooperative Verification of Agent Interface
Optimal Design with Design Networks
  • Yang Xiang
  • Computer Science
  • Probabilistic Graphical Models
  • 2006
The result provides a mechanism that combines probabilistic, constraint-based, and decision-theoretic reasoning for single-agent optimal design, and fills in a gap in optimal collaborative design. Expand