/ˈmɪˌaʊ/ /liː/, him/his
PhD Candidate in NLP/AI
The University of Melbourne
x.cs@gmail.com, x->miaoli
x.li@ed.ac.uk, x->miao
The supreme happiness of life is the conviction that we are loved. — Hugo
Miao is currently a final-year PhD candidate in NLP/AI at School of Computing and Information Systems, The University of Melbourne (UoM), jointly advised by Prof. Eduard Hovy (UoM and CMU) and Dr. Jey Han Lau (UoM) within the NLP group. He has been a visiting PhD student working with Prof. Mirella Lapata at Institute for Language, Cognition and Computation (ILCC), The University of Edinburgh since March 2024. His PhD journey in Melbourne started in December 2020. Before that, he earned a B.E. from Northeastern University in 2017 and an M.Sc. (as an exam-exempted postgraduate) from Institute of Software, Chinese Academy of Sciences in July 2020.
Miao's research focused on enabling machines to understand, reason with, and generate natural language to advance generative artificial intelligence (Generative AI). During his PhD, he has primarily worked on multi-document summarization, emphasizing information integration and decompositional reasoning with large language models (LLMs) to enhance transparency and grounding in summarization. His overarching research goal is facilitating the integrated synthesis of complex information sources to enhance human productivity through human-AI collaboration. His research interests include: (1) gaining a deeper understanding of how humans cognitively correlate and integrate dispersed information in complex problem-solving and decision-making, (2) developing generative models capable of reasoning over voluminous, heterogeneous, and distributed information at superhuman speeds, and (3) establishing high-quality evaluations for both model outputs and their inner workings and behaviours, ensuring these models are not only useful but also explainable in real-world applications.
Aspect-Aware Decomposition for Opinion Summarization
Miao Li, Jey Han Lau, Eduard Hovy, and Mirella Lapata.
Preprint.
[abstract] [paper]
A Sentiment Consolidation Framework for Meta-Review Generation
Miao Li, Jey Han Lau, and Eduard Hovy.
ACL 2024.
[abstract] [paper] [code] [dataset] [slides] [poster]
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
Miao Li, Ming-Bin Chen, Bo Tang, Shengbin Hou, Pengyu Wang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Keming Mao, Peng Cheng, and Yi Luo.
ACL 2024.
[abstract] [paper] [code] [dataset] [slides] [poster]
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation
Miao Li, Eduard Hovy, and Jey Han Lau.
Findings of EMNLP 2023.
[abstract] [paper] [code] [dataset] [poster]
DeltaScore: Fine-grained Story Evaluation with Perturbations
Zhuohan Xie, Miao Li, Trevor Cohn, and Jey Han Lau.
Findings of EMNLP 2023.
[abstract] [paper] [code]
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
Miao Li, Jianzhong Qi, and Jey Han Lau.
AAAI 2023. Oral.
[abstract] [paper] [code] [slides] [poster]
Personalized Abstractive Opinion Tagging
Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke and Zhaochun Ren.
SIGIR 2022. Oral.
[abstract] [paper]
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Rui Zhang, Bayu Distiawan Trisedy, Miao Li, Yong Jiang, Jianzhong Qi.
VLDB Journal 2022.
[abstract] [paper] [code]
A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features
Hongyin Tang, Miao Li, Beihong Jin.
EMNLP 2019. Oral.
[abstract] [paper] [appendix]
A New Effective Neural Variational Model with Mixture-of-Gaussians Prior for Text Clustering.
Miao Li, Hongyin Tang, Beihong Jin, Chengqing Zong.
ICTAI 2019. Oral.
[abstract] [paper]
Clustering Large-Scale Origin-Destination Pairs: A Case Study for Public Transit in Beijing
Miao Li, Hongyin Tang, Beihong Jin.
UIC 2018. Oral.
[abstract] [paper]
AAAI-23 Student Scholarship, Association for the Advancement of Artificial Intelligence, January 2023
Google Conference Scholarship, Google Inc., January 2023
Excellent Student Cadre, University of Chinese Academy of Sciences, June 2019
National Scholarship for Graduates, Education Ministry of China, November 2018
The First Prize Scholarship, University of Chinese Academy of Sciences, October 2018
Excellent Student Cadre, University of Chinese Academy of Sciences, June 2018
Outstanding Graduate, Northeastern University, June 2017
Outstanding Graduate Thesis Award, Northeastern University, July 2017
The First Prize Scholarship, Northeastern University, September 2016
National Scholarship for Undergraduates, Education Ministry of China, October 2016
The First Prize Scholarship, Northeastern University, September 2015
National Scholarship for Undergraduates, Education Ministry of China, October 2015
Excellent Student Cadre, Northeastern University, October 2015
Reviewer for ACL Rolling Review (2021 - Present)
Member of reviewer committees: NLPCC 2022-2023, EACL 2023, ACL 2023-2024, EMNLP 2023-2024, NAACL 2025
Subreviewer for WSDM 2022, SIGIR 2022, SIGKDD 2022, and CIKM 2022