Pinnacle is a research lab jointly established between Ping An Technology Pte. Ltd. (Shenzhen) and Singapore Management University, aiming at the collaboration between the two parties to promote research, application and technology transfer focusing on the theme of “Big Data”.

We are looking for Research Engineers for all kinds. See details.

Latest News 

Demo booth of workshop on SMART NATION

Introduce our current demos to the researchers
at the workshop on SMART NATION hosted by LARC.


DU Juan

Certificate of Appreciation to Juan DU at ICDM 2014

In recognition of valuable service as Social Media Chair
for the IEEE International Conference on Data Mining (ICDM 2014).

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Pinnalce Lab has joined Ping An China in sponsoring ICDM’14 as the Gold Supporter for the main conference as well as the first COOL-SNA featuring keynote speaker Dr. Lei Chen from HKUST and Dr. Chengzhong Xu from Chinese Academy of Sciences.

ICDM 2014 Read More
COOL-SNA 2014 Read More



Full paper published at SocInfo’14

“User Profiling via Affinity-aware Friendship Network”
Zhuohua Chen, Feida Zhu, Guangming Guo, and Hongyan Liu, November, Barcelona, Spain.



BDTC, Dec 6, 2013, Beijing, China
Feida ZHU

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Full Paper accepted to SIGMOD 2014

“HYDRA: Large-scale Social Identity Linkage via Heterogeneous Behavior Modeling”
Siyuan Liu, Shuhui Wang, Jinbo Zhang, Feida Zhu and Ramayya Krishnan, 2014 ACM SIGMOD/PODS Conference.
(SIGMOD’14), Snowbird, Utah, USA, June, 2014.Read More



Paper accepted at the 5th International Conference on Social Informatics (SocInfo2013)

“Information vs Interaction: An Alternative User Ranking Model for Social Networks” by Wei Xie, Ai Phuong Hoang, Feida Zhu and Ee-Peng Lim
“Social Listening for Customer Acquisition” by Juan DU, Biying TAN, Feida ZHU and Ee-Peng LIM  Read More




7th International Workshop on Social Network Mining and Analysis (SNA-KDD 2013) 11 August 2013, Chicago, United States

The seventh SNA-KDD workshop is proposed as the seventh in a successful series of workshops on social network mining and analysis co-held with KDD, soliciting experimental and theoretical work on social network mining and analysis in both online and offline social network systems. Read More


Last updated on 19 Oct 2015 .