Junjie Liang

Ph.D. Candidate @ Artificial Intelligence Research Laboratory

College of Information Sciences and Technology

The Pennsylvania State University

E-mail: jul672 (at) ist.psu.edu  

Office: E349 Westgate Building, State College, PA, 16802

CV, LinkedIn, GitHub, Twitter.

I am a Research Assistant in IST, PSU. I feel pleasure to be advised by Dr. Vasant Honavar. I earned my master’s degree in CSE, South China University of Technology (SCUT) right before joining to PSU at 2017.

 

 

Updates

[Publication] Paper accepted by AAAI’20.

[Intern] Happy to join the security group in JD.COM for summer 2019. During the summer research, I will be working with Dr. Xinyu Xing.

[Milestone] Passed the comprehensive exam on Apr. 2019.

 

Research Interest

My research interest lies in different fields in Machine Learning.

·         Longitudinal Data Analysis. Predictive modeling and variable selection on data with complex correlation structure (non-i.i.d. data).

·         Deep Probabilistic Models. Deep generative models, variational inference.

·         Weakly Supervised Learning. Robust semi-supervised, unsupervised learning in data with weak supervision.

·         Causal Inference. Disentangled learning, Counterfactual analysis.

 

Publications

FARE: Enabling Fine-grained Categorization for Cybersecurity Applications. (under review)

Junjie Liang, Wenbo Guo, Tongbo Luo, Jimmy Su, Vasant Honavar, Xinyu Xing

 

LMLFM: Longitudinal Multi-Level Factorization Machines. [code][slides]

Junjie Liang, Dongkuan Xu, Yiwei Sun, Vasant Honavar

Proceedings of the 34th AAAI International Conference on Artificial Intelligence (AAAI'20) (to appear)

 

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. [slides]

Junjie Liang, Jinlong Hu, Shoubin Dong, Vasant Honavar

Proceedings of the 2018 IEEE International Conference on Big Data (Big Data’18)

 

A User Similarity-based Top-N Recommendation Approach for Mobile In-application Advertising.

Jinlong Hu, Junjie Liang, Yuezhen Kuang, Vasant Honavar

Expert Systems with Applications (ESWA), vol. 111, pp. 51-60. DOI: 10.1016/j.eswa.2018.02.012.

 

[Publications at SCUT]

iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection.

Jinlong Hu, Junjie Liang, Shoubin Dong

Mobile Information Systems, 2017.

 

[Patents at SCUT]

Quantitative scoring method for implicit feedback of user. Publication number: CN107025277A. Aug. 8, 2017

Large-scale on-line recommendation method based on mobile context. Publication number: CN106951436A. Jul. 14, 2017

Quality scoring method for mobile application advertisement putting. Publication number: CN106651423A. May 10, 2017

Collaborative recommendation method with user context information aggregation. Publication number: CN106326483A. Jan. 11, 2017

 

Experiences

Research Assistant @ IST, PSU

Supervisor: Dr. Vasant Honavar

Aug. 2017 - Present

Research Intern @ Security Group, JD.COM

Supervisor: Dr. Xinyu Xing

Topic: Semi-supervised learning for cybersecurity applications.

Summer 2019

Teaching Assistant @ IST, PSU

DS 497, Principles of Artificial Intelligence

Spring 2019

Research Intern @ Decision Science, Conversant

Supervisor: Dr. Farooq Ali

Topic: Efficient and scalable algorithms for recommender systems.

Summer 2018

 

Last update: Nov. 19, 2019