Xiaozhong Liu

Introducing Dr. Xiaozhong Liu, an Associate Professor in the cutting-edge fields of Computer Science and Data Science at Worcester Polytechnic Institute. With a background that boasts the title of Associate Professor at Indiana University Bloomington and the esteemed role of Director/Senior Consultant at Alibaba DAMO Academy, Xiaozhong's expertise spans across varied domains including natural language processing, graph mining, large language model, information retrieval, and computational social science. With a remarkable track record comprising of over 150 published papers in top-tier CS and information science platforms, as well as 22 patents, Xiaozhong is inviting highly-driven Ph.D. students with a strong passion for NLP, LLM, and deep learning to join his exceptional research team.

My full CV here

Email: liu14 [AT] WPI [dot] edu

NEWS...

• Our paper "Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery" is accepted by AAAI 2024.
• 6 full papers are accepted by EMNLP 2023 main conference (LLM, multimodal, relation extraction, meta-prompt learning, legal AI and human-LLM collaborations).
• Project "Wearable Device Data Mining and Health Status Prediction" is funded by MIT Lincon Lab (thanks...)
• Our full paper "Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction" is accepted by CIKM 2023 main conference.
• Invited talk "Misinformation: Can We Totally Remove It?" at Connexions, UT Austin.
• Invited talk "Social Media Bubble: China Versus the U.S." at Connexions, UT Austin.
• Project "Toward Automated Discovery of Security Flaws in Networked Systems through Intelligent Documentation Analysis" is funded by NSF SaTC (thanks...)
• 2 full papers were accepted by AAAI 2023 main conference (dialogue mining, and legal AI).
• Our full paper "Order-Disorder: Imitation Adversarial Attacks for Black-box" is accepted by ACM CCS 2022 (with Best Paper Nomination!).
• Our paper "Hotness Prediction of Scientific Topics Based on a Bibliographic Knowledge Graph" is accepted by Information Processing & Management, 2022.
• Our paper "PM-Search: State-of-the-art Evidence Retriever for Precision Medicine: Algorithm Development and Validation" is accepted by Journal of Medical Internet Research, 2022.
• Our paper "Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning" is accepted by KDD 2022. 
• Project "Constructing Heterogeneous Scholarly Graphs to Examine Social Capital During MentoredKAwardees Transition to Research Independence: Explicating a Matthew Mechanism" is funded by NSF SCISIPBIO (thanks...)
• Our paper "A Neural Conversation Generation Model via Equivalent Shared Memory Investigation" is accepted by CIKM 2021.
• 2 full papers are accepted by IEEE S&P 2021 and EMNLP 2021 main conference (Chatbot and NLP security).
• 2 full papers are accepted by ACL 2021 main conference (information extraction and legal AI).
• 2 full papers are accepted by SIGIR 2021 main conference (contract mining and legal AI).
• 4 full papers are accepted by AAAI 2021 main conference (legal AI, information summarization, knowledge graph and cybercrime).
• Project "Counterfactual Graph Mining Via Deep Learning" is funed by Alibaba DAMO Academy (thanks...)
• Our paper "Adaptive Multi-Task Positive- Unlabeled Learning for Joint Prediction of Multiple Chronic Diseases Using Online Shopping Behaviors" is accepted by Expert Systems With Applications, 2021.
• Our paper "Biomedical Question Answering: A Survey of Approaches and Challenges" is accepted by ACM Computing Surveys, 2021.
• Project "SCALE ESS / Trusted AI" is funed by DoD (thanks...)
• Two papers (about legal intelligence and dialogue mining) is accepted by SIGIR 2021.
• Project "[Chinese Student = Spy?] [Black Man = Predator?] Reducing Racial Bias in Legal Artificial Intelligence" is funded by Racial Justice Research Fund (thanks...)
• Project "Legal Intelligence: Legal Outcome Prediction with Court Debate Data" is funded by Alibaba DAMO Academy (thanks...)