Lianhua Chi

Senior Lecturer, La Trobe University, Melbourne, Australia
Email: l.chi@latrobe.edu.au
Address: La Trobe University, Bundoora VIC 3086, Australia
Follow @lianhua1221

I received my dual PhD degree (Machine Learning and Data Mining) at the University of Technology Sydney in Australia and Huazhong University of Science and Technology in China in 2015.

I joined La Trobe after almost three years at IBM Research Australia where I was working as a Postdoc on Watson Education and Health.

Some of my received awards: "Best Paper Award in PAKDD13", "Top 200 Young Researchers Globally and Romberg Grant Award by HLF16", “Young Global Changer by G20/T20 Germany”, "IBM External Honors", etc.

My main research interest is in making sense of big data with effective, agile and interactive data analytics, especially in Health care area. Currently, I am working on AI on Autism Screening.

Recent Activities:

13/09/2025: The successful award of a CSIRO Industry PhD (iPhD) grant for the project “Transforming Early Autism Screening with Multimodal AI: Integrating Brain and Behavioural Signals” (2026-2029) which will fund a fully supported PhD student, with additional industry top-up scholarship and project expense funds, totaling $255,497 across four years
21/08/2025: I co-authored a journal paper with my PhD student Conem: A novel framework for integrating external factors with inner and outer correlations in time series forecasting which has been published by Knowledge-Based Systems (IF 7.6).
30/05/2019: I co-authored a conference paper Improving Multi-Label Chest X-ray Disease Diagnosis by exploiting disease and health labels dependencies which was accepted by The 4th International Symposium on Artificial Intelligence and Robotics 2019.
25/03/2019: I co-authored a conference paper Autism Screening using Deep Embedding Representation which was accepted by INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE.
14/01/2019: I was invited to give a seminar talk "Real-time Classification of Big Data Stream through Hashing Techniques" at School of Computer Science, Wuhan University.
22/10/2018: I was invited to give a keynote talk "Making sense of big data in healthcare with effective and interactive analysis" at Health Data Analytics 2018.
01/06/2018: I started to visit Gehlenborg Lab of Harvard Medical School in Boston for 5 weeks.
26/02/2018: I joined La Trobe University as a lecturer.
02/02/2018: I was invited to give a talk "Real-time Classification of Big Data Stream through Hashing Techniques" at the Center of Artificial intelligence in University of Technology Sydney.
27/11/2017: I was invited to attend 2017 East Lake International Forum for Outstanding Overseas Young Scholars.
19/11/2017: I was invited to join the Program Committee of IJCAI-ECAI-2018 (PIC Top-Quality conference in Artificial Intelligence).
08/11/2017: I was invited to join the Program Committee of NAACL-HLT 2018 (PIC Top-Quality conference in Natural Language Processing).
01/09/2017: I participated in RMIT Analytics Competition as judging panel.
21-25/08/2017: I am attending the main conference IJCAI 2017 in Melbourne.
19-20/08/2017: I co-organised the conference AusDM 2017, which was co-located with IJCAI 2017 in Melbourne.
26/07/2017: I got my third patent filed SYBIL IDENTIFICATION MECHANISM FOR FRAUDULENT DOCUMENT DETECTION THROUGH A COGNITIVE BASED PERSONAL ENCRYPTION KEY.
11/07/2017: I was awarded the certificate of participation from Think Summit GLOBAL SOLUTIONS.
28/05/2017: I attended Think Summit GLOBAL SOLUTIONS as a Young Global Changer in Berlin, Gemany.
10/05/2017: I co-authored a journal paper Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts which was accepted by IEEE Transactions on Cybernetics.
27/04/2017: I was selected as one of 100 outstanding Young Global Changers to attend the Think 20 Summit – GLOBAL SOLUTIONS.
20/03/2017: I was invited as Program Chair for the Applications Track of AusDM 2017.
14/01/2017: I got my second patent filed SYSTEM AND METHOD FOR UNSTRUCTURED METADATA CORRELATION.
04/01/2017: I co-authored a paper Hashing Techniques: A Survey and Taxonomy which was accepted by ACM Computing Surveys.
11/12/2016: I attended COLING 2016 and presented the poster Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features in the workshop W-NUT 2016 in Osaka, Japan.
05/12/2016: I attended ALTA 2016 and presented the short paper Temporal Modelling of Geospatial Words in Twitter in Monash university, Melbourne, Australia.
12/11/2016: I was invited as a VIP guest to attend the 9th Research Symposium for Chinese PhD Students and Scholars in Australia.
24/10/2016: I co-authored a paper Temporal Modelling of Geospatial Words in Twitter in ALTA 2016.
23/09/2016: I co-authored a paper A Novel Method for Assessing Event Impacts on Event-Driven Time Series in ICDM 2016.
19/09/2016: I gave a talk How Advanced Adaptive Hashing Evolved from Randomised Hashing in the workshop on Randomised Algorithms in HLF16.
18/09/2016: I attended Heidelberg Laureate Forum 2016 (HLF16) and co-organised a workshop on Randomised Algorithms in Heidelberg, Gemany.
15/09/2016: I got my first patent filed SYSTEM, METHOD AND COMPUTER PROGRAM FOR A COGNITIVE MEDIA STORY EXTRACTOR AND VIDEO COMPOSER.
13/08/2016: I attended KDD 2016 and presented our poster Open Problem: Accurately Measuring Event Impacts on Time Series in the workshop MiLeTS 2016 in San Francisco, CA, United States.