Education

• Doctor of Philosophy in Computer Science, The University of Western Australia, 2022-current
• Bachelor of Science in Computer Science (Honour), The University of Western Australia, 2021-2021
• Master of Information Technology, The University of Western Australia, 2016-2017
• Bachelor of Engineering in Nuclear Engineering and Technology, North China Electric Power University, 2011-2015

Awards

• Commendation Award - Team for outstanding contributions to student learning, 2025
• Best Demo Paper Award at EMNLP, 2024
• STUDENTS CHOICE AWARD FOR ACADEMIC OR PROFESSIONAL STAFF PROGRAMS THAT ENHANCE LEARNING, 2023
• Best Research Paper Award at AusDM, 2022
• Finalist for the 31st INCITE Awards (Research & Innovation Project of the Year), 2022
• 2021-2022 Finalist for ACS WA Dennis Moore 1962 Prize, 2022

Work experience

• Full Stack Developer, Artrya, 2021-2023
  • Lead the re-architecture of the AI based coronary artery disease evaluation platform, Salix
  • Get the whole platform ready for commercial launch
• Full Stack Developer, MetroCount, 2019-2021
  • Develop and successfully commercialize the revolutionary traffic data management platform, ATLYST
  • And the revolutionary Real-Time traffic data collection solution, RoadPod VM
• Full Stack Developer, Sheda, 2018-2019
  • Support the development of several startup projects
  • HealthDelivered: A platform for dietitians to manage their patients
  • Jean: Posts (images and text) generation used for Facebook pages admin

Publications

DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in LLMs

Deng, Z., Sun, Q., Li, J., Liu, W. (2025). DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in LLMs. In: Wu, X., et al. Data Science: Foundations and Applications. PAKDD 2025. Lecture Notes in Computer Science(), vol 15876. Springer, Singapore. https://doi.org/10.1007/978-981-96-8298-0_33

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral

DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral (Sun et al., ACL 2025)

TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs

Qiang Sun, Sirui Li, Du Huynh, Mark Reynolds, and Wei Liu. 2025. TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs. In Companion Proceedings of the ACM on Web Conference 2025 (WWW 25). Association for Computing Machinery, New York, NY, USA, 797–800. https://doi.org/10.1145/3701716.3715308

Docs2KG: A Human-LLM Collaborative Approach to Unified Knowledge Graph Construction from Heterogeneous Documents

Qiang Sun, Yuanyi Luo, Wenxiao Zhang, Sirui Li, Jichunyang Li, Kai Niu, Xiangrui Kong, and Wei Liu. 2025. Docs2KG: A Human-LLM Collaborative Approach to Unified Knowledge Graph Construction from Heterogeneous Documents. In Companion Proceedings of the ACM on Web Conference 2025 (WWW 25). Association for Computing Machinery, New York, NY, USA, 801–804. https://doi.org/10.1145/3701716.3715309

TriagedMSA: Triaging Sentimental Disagreement in Multimodal Sentiment Analysis

[TriagedMSA: Triaging Sentimental Disagreement in Multimodal Sentiment Analysis](https://ieeexplore.ieee.org/abstract/document/10819657) (Y. Luo et al.)

OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents

[OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents](https://aclanthology.org/2024.emnlp-demo.5) (Sun et al., EMNLP 2024)

Are Graph Embeddings the Panacea?

Sun, Q., Huynh, D.Q., Reynolds, M., Liu, W. (2024). Are Graph Embeddings the Panacea?. In: Yang, DN., Xie, X., Tseng, V.S., Pei, J., Huang, JW., Lin, J.CW. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2024. Lecture Notes in Computer Science(), vol 14646. Springer, Singapore. https://doi.org/10.1007/978-981-97-2253-2_32

Graph Embeddings for Non-IID Data Feature Representation Learning

Sun, Q., Liu, W., Huynh, D., Reynolds, M. (2022). Graph Embeddings for Non-IID Data Feature Representation Learning. In: Park, L.A.F., et al. Data Mining. AusDM 2022. Communications in Computer and Information Science, vol 1741. Springer, Singapore. https://doi.org/10.1007/978-981-19-8746-5_4