Curriculum Vitae

🎓 Education

Ph.D. in Computer Science, City University of Hong Kong, Hong Kong (Aug 2012)
- Supervisors: Prof. Wenyin Liu & Prof. Qing Li
M.S. in Computer Science and Engineering, University of Science and Technology of China, Hefei, China (July 2008)
- Supervisor: Prof. Enhong Chen
B.E. in Computer Science and Engineering, Chang’an University, Xi’an, China (July 2005)

💼 Work Experience

Professor, Shenzhen Loop Area Institute, China (Jan 2026 – Present)
Professor, School of Computer Science and Engineering, Sun Yat-sen University, China (Jul 2017 – Dec 2025)
Scientist, Institute for Infocomm Research (I²R), A*STAR, Singapore (Jan 2014 – May 2017)
Postdoctoral Fellow, Dept. of Linguistics & Translation, City University of Hong Kong (Sep 2012 – Dec 2013)
- Collaborator: Prof. Chunyu Kit
Visiting Scholar, Dept. of Computer Science, Purdue University, USA (July 2011 – Dec 2011)
- Collaborator: Prof. Luo Si
Visiting Scholar, Rutgers Business School, Rutgers University, USA (June 2010 – Aug 2010)
- Collaborator: Prof. Hui Xiong
Research Assistant, Dept. of Computer Science, City University of Hong Kong (July 2008 – Sep 2009)
- Collaborator: Prof. Wenyin Liu

🔬 Research Interests

Natural Language Processing (NLP)
Large Language Models (LLMs): Heterogeneous Model Fusion, Model Compression, Knowledge Distillation, Alignment.
AI-Generated Content Detection
Chinese NLP

💰 Research Grants (Selected)

National Natural Science Foundation of China (General Program): Research on Large Model Compression Technology Based on Heterogeneous Model Fusion, 2026/01–2029/12. (PI, ¥500,000)
National Natural Science Foundation of China (General Program): Research on Emotion Recognition in Conversation Combined with Automatic Personality Detection, 2022/01–2025/12. (PI, ¥580,000)
Guangdong Pearl River Recruitment Program of Talents (Overseas): Innovative R&D Team on Mobile Converged Computing, 2018/09–2023/08. (Key Leading Member, ¥20,000,000)
Guangdong Natural Science Foundation: Research on Unstructured Knowledge Representation and Retrieval for Intelligent Human-Machine Dialogue Systems, 2023/01–2025/12. (PI, ¥100,000)
Guangzhou Basic and Applied Basic Research Project: Knowledge-Driven End-to-End Task-Oriented Dialogue System and Attribution Analysis, 2024/01–2026/12. (PI, ¥300,000)
Industry Collaboration (China Mobile): Multi-Source Heterogeneous Model Fusion Technology for Industry Call Scenarios, 2025/02–2026/08. (PI, ¥870,000)
Industry Collaboration (Meituan): Research on Fusion and Reasoning Technologies for Heterogeneous Large Models, 2025/05–2026/05. (PI, ¥400,000)
Industry Collaboration (WeChat): Research and Application of Post-Training Techniques for Large Language Models in Complex AI Question Answering Scenarios, 2025/04–2026/04. (PI, ¥350,000)
Alibaba DAMO Academy: Key Technologies for Open-Domain Generative Dialogue Models for Digital Humans, 2023/06–2024/05. (PI, ¥500,000)
Tencent AI Lab: Key Technologies for Knowledge-Driven End-to-End Task-Oriented Dialogue Systems, 2022/05–2023/04. (PI, ¥300,000)
Xiamen Meiyou: Research on Knowledge-Driven End-to-End Task-Oriented Dialogue Systems and Pre-trained Model Distillation, 2023/04–2024/12. (PI, ¥300,000)
China Mobile: Emotion Analysis and Intent Recognition in Voice Calls, 2023/06–2024/05. (PI, ¥750,000)
Vipshop: Customer Intent Recognition and Sentiment Analysis of Reviews on E-commerce Platforms, 2022/01–2022/12. (PI, ¥400,000)

🏆 Honors & Awards

Third Prize for Scientific and Technological Achievement, Guangdong Communication Society, 2024
First Prize for Outstanding Paper, Guangdong Computer Society, 2021
Outstanding Reviewer, ACL 2021
Champion, Implicit Sentiment Analysis Contest, SMP 2019
Runner-up, Chinese Machine Reading Comprehension Contest, NLPCC 2019
School of Graduate Studies Scholarship, City University of Hong Kong, 2012
Outstanding Academic Performance Award, City University of Hong Kong, 2010, 2011

🤝 Professional Services

Memberships:
- Member, Association for Computational Linguistics (ACL)
- Outstanding Member, China Computer Federation (CCF)
- Committee Member, CCF Technical Committee on NLP
- Executive Committee Member, CCF Large-scale Pre-trained Models Forum
- Committee Member, CIPS Committee on LLMs and Generation / Affective Computing
Area Chair: ICLR 2026, ARR (since 2021), EMNLP (since 2021), ACL 2023, IJCAI 2019 & 2023.
PC Member: ICML 2025, NeurIPS (2024-2025), ICLR (2022-2025), AAAI (2019-2021), IJCAI, KDD, SDM, ICDM.
Journal Reviewer: IEEE TKDE, ACM TOIS, IEEE TIFS, IEEE TPDS, KAIS, Neurocomputing, WWW Journal.

💡 Patents

Qing Li, Xiaojun Quan, et al. A Method and System for Automatically Recognizing the Emotional Probability Carried by Text. China Patent ZL 2013 1 0094618.4.
Wuya Chen, Xiaojun Quan. A Machine Reading Comprehension Method Based on Threshold Convolutional Neural Networks. China Patent ZL 2018 1 1308503.X.
Jinxuan Qiu, Xiaojun Quan, Hongkang Hu. A Summary Text Generation Method Based on Fused Encoding. China Patent ZL 2018 1 1308510.X.
Hao Deng, Xiaojun Quan. A Punctuation Prediction Method Based on Self-Attention Mechanism. China Patent ZL 2018 1 1308508.2.
Hongkang Hu, Xiaojun Quan. A Data Augmentation Method Based on Target Emotion Analysis Dataset. China Patent ZL 2020 1 0095397.2.
Chengbo Chen, Xiaojun Quan. A Personality Detection Method Based on Multimodal Alignment and Multi-Vector Representation. China Patent ZL 2020 1 0070066.3.
Xiaojun Quan, Zhixian Xie. A Dialogue Graph Reconstruction Method and System for Multi-Person Multi-Round Dialogue Scenarios. China Patent ZL 2021 1 0048867.4.
Xiaojun Quan, Yujie Yu. A Task-Hierarchical Based Personality Prediction Method, System, and Device. China Patent ZL 2020 1 1598147.7.

👨‍🏫 Supervision

Current Students:

PhD: Tianyuan Shi, Ruijun Chen, Hongzhan Chen, Zhenxing Wang, Lai Wang
Master: Shiping Gao, Ziyi Yang, Longguang Zhong, Jiehao Liang, Yuyang Zeng, Yuqi Yu, Canbin Huang, Jiajian Guo, Guosheng Liang, Yuhua Zhu, Haorong Li, Ruitao Ni, Huaiwen Zhang, Shunqiang Mao, Jinhua Li, Biaowei Lin, Tongmin Zheng, Yuanyuan Guo
Undergraduate: Several undergraduates from 2nd to 3rd years.

Graduated Students (Selected Destinations):

2025: Fanqi Wan (Tencent), Haihui Yang (Tencent)
2024: Weizhou Shen (PhD, Alibaba), Tao Yang (PhD, WeChat), Siyue Yang (WeChat), Jinghao Deng (Tencent)
2023: Zihong Liang (ByteDance)
2022: Yunyi Yang (ByteDance), Yunhao Li (Kuaishou), Guanhuan Huang (CSG), Feifan Yang (Alibaba), Junqing Chen (JD), Zhengcheng Min (CSG)
2021: Kai Wang (Kuaishou), Kun Li (CUHK), Yujie Yu (Lenovo), Ruikun Luo (Baidu), Zhixian Xie (ByteDance)
Earlier: Wuya Chen (NetEase), Chengbo Chen (Huawei), Jinxuan Qiu (Baidu), Ziwei Lai (ByteDance), Hao Deng (Pinduoduo)

📝 Publications

Adaptive Label-Driven Scaling for Latent Semantic Indexing

Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong. (2008). "Adaptive Label-Driven Scaling for Latent Semantic Indexing." SIGIR 2008.

Short Text Similarity based on Probabilistic Topics

Xiaojun Quan, Gang Liu, Zhi Lu, Xingliang Ni, Liu Wenyin. (2010). "Short Text Similarity based on Probabilistic Topics." Knowledge and Information Systems 2010.

Discovering Phishing Target Based on Semantic Link Network

Liu Wenyin, Ning Fang, Xiaojun Quan, Bite Qiu, Gang Liu. (2010). "Discovering Phishing Target Based on Semantic Link Network." Future Generation Computer Systems 2010.

A Short Text Modeling Method Combining Semantic and Statistic Information

Liu Wenyin, Xiaojun Quan, Min Feng. (2010). "A Short Text Modeling Method Combining Semantic and Statistic Information." Information Sciences 2010.

Automatic Categorization of Questions for User-Interactive QA

Wanpeng Song, Liu Wenyin, Naijie Gu, Xiaojun Quan, Tianyong Hao. (2011). "Automatic Categorization of Questions for User-Interactive QA." Information Processing & Management 2011.

Term Weighting Schemes for Question Categorization

Xiaojun Quan, Liu Wenyin, Bite Qiu. (2011). "Term Weighting Schemes for Question Categorization." IEEE Transactions on Pattern Analysis and Machine Intelligence 2011.

Short Text Clustering by Finding Core Terms

Xingliang Ni, Xiaojun Quan, Zhi Lu, Liu Wenyin, Bei Hua. (2011). "Short Text Clustering by Finding Core Terms." Knowledge and Information Systems 2011.

User Interest Modeling and Its Application for Question Recommendation

Xingliang Ni, Yao Lu, Xiaojun Quan, Liu Wenyin, Bei Hua. (2012). "User Interest Modeling and Its Application for Question Recommendation." Information Processing & Management 2012.

Antiphishing through Phishing Target Discovery

Liu Wenyin, Gang Liu, Bite Qiu, Xiaojun Quan. (2012). "Antiphishing through Phishing Target Discovery." IEEE Internet Computing 2012.

Link Graph Analysis for Business Site Selection

Xiaojun Quan, Hui Xiong, Wenyu Dou, Liu Wenyin, Yong Ge. (2012). "Link Graph Analysis for Business Site Selection." IEEE Computer 2012.

Emotion Tagging for Comments of Online News by Meta Classification

Ying Zhang, Luo Si, Xiaojun Quan, Yi Fang, Lin Dai, Xiaojie Yuan. (2012). "Emotion Tagging for Comments of Online News by Meta Classification." SIGIR 2012.

Feature Selection for High-Dimensional Imbalanced Data

Liuzhi Yin, Yong Ge, Keli Xiao, Xuehua Wang, Xiaojun Quan. (2013). "Feature Selection for High-Dimensional Imbalanced Data." Neurocomputing 2013.

Non-monotonic Sentence Alignment via Semisupervised Learning

Xiaojun Quan, Chunyu Kit, Yan Song. (2013). "Non-monotonic Sentence Alignment via Semisupervised Learning." ACL 2013.

Towards Building a Social Emotion Detection System for Online News

Jingsheng Lei, Yanghui Rao, Xiaojun Quan, Qing Li, Liu Wenyin. (2014). "Towards Building a Social Emotion Detection System for Online News." Future Generation Computer Systems 2014.

Affective topic model for social emotion detection

Yanghui Rao, Qing Li, Wenyin Liu, Qingyuan Wu, Xiaojun Quan. (2014). "Affective topic model for social emotion detection." Neural Networks 2014.

Regularizing Flat Latent Variables with Hierarchical Topic Structures

Rongcheng Lin, Huayu Li, Xiaojun Quan, Richang Hong, Zhiang Wu, Yong Ge. (2015). "Regularizing Flat Latent Variables with Hierarchical Topic Structures." IJCAI 2015.

Short and Sparse Text Topic Modeling via Self-Aggregation

Xiaojun Quan, Chunyu KIT, Yong Ge, Sinno Jialin Pan. (2015). "Short and Sparse Text Topic Modeling via Self-Aggregation." IJCAI 2015.

Latent Discriminative Models for Social Emotion Detection

Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Liu Wenyin. (2015). "Latent Discriminative Models for Social Emotion Detection." ACM Transactions on Information Systems 2015.

Towards Non-Monotonic Sentence Alignment

Xiaojun Quan, Chunyu Kit. (2015). "Towards Non-Monotonic Sentence Alignment." Information Sciences 2015.

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization

Kai Wang, Xiaojun Quan, Rui Wang. (2019). "BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization." ACL 2019.

A Deep Neural Information Fusion Architecture for Textual Network Embeddings

Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang. (2019). "A Deep Neural Information Fusion Architecture for Textual Network Embeddings." EMNLP-IJCNLP 2019.

Generating Multi-hop Reasoning Questions to Improve MRC

Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin. (2020). "Generating Multi-hop Reasoning Questions to Improve MRC." WWW 2020.

Conditional Augmentation for Aspect Term Extraction via Masked Seq2Seq

Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling, Yan Song. (2020). "Conditional Augmentation for Aspect Term Extraction via Masked Seq2Seq." ACL 2020.

Joint Chinese Word Segmentation and Part-of-speech Tagging

Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, Yonggang Wang. (2020). "Joint Chinese Word Segmentation and Part-of-speech Tagging." ACL 2020.

Low-Resource Generation of Multi-hop Reasoning Questions

Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin. (2020). "Low-Resource Generation of Multi-hop Reasoning Questions." ACL 2020.

Multi-Domain Dialogue Acts and Response Co-Generation

Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan, Jianxing Yu. (2020). "Multi-Domain Dialogue Acts and Response Co-Generation." ACL 2020.

Relational Graph Attention Network for Aspect-based Sentiment Analysis

Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan, Rui Wang. (2020). "Relational Graph Attention Network for Aspect-based Sentiment Analysis." ACL 2020.

Constituency Lattice Encoding for Aspect Term Extraction

Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen, Qinliang Su. (2020). "Constituency Lattice Encoding for Aspect Term Extraction." COLING 2020.

Embedding Dynamic Attributed Networks by Modeling the Evolution Processes

Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin. (2020). "Embedding Dynamic Attributed Networks by Modeling the Evolution Processes." COLING 2020.

Multi-choice Relational Reasoning for Machine Reading Comprehension

Wuya Chen, Xiaojun Quan, Chunyu Kit, Zhengcheng Min, Jiahai Wang. (2020). "Multi-choice Relational Reasoning for Machine Reading Comprehension." COLING 2020.

Multi-hop Reasoning Question Generation and Its Application

Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin. (2021). "Multi-hop Reasoning Question Generation and Its Application." IEEE Transactions on Knowledge and Data Engineering 2021.

DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition

Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie. (2021). "DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition." AAAI 2021.

Multi-Document Transformer for Personality Detection

Feifan Yang, Xiaojun Quan, Yunyi Yang, Jianxing Yu. (2021). "Multi-Document Transformer for Personality Detection." AAAI 2021.

UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2

Yunyi Yang, Yunhao Li, Xiaojun Quan. (2021). "UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2." AAAI 2021.

Progressive Dialogue State Tracking for Multi-Domain Dialogue Systems

Jiahao Wang, Minqian Liu, Xiaojun Quan. (2021). "Progressive Dialogue State Tracking for Multi-Domain Dialogue Systems." ICASSP 2021.

Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene

Ruikun Luo, Guanhuan Huang, Xiaojun Quan. (2021). "Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene." ACL 2021.

Directed Acyclic Graph Network for Conversational Emotion Recognition

Weizhou Shen, Siyue Wu, Yunyi Yang, Xiaojun Quan. (2021). "Directed Acyclic Graph Network for Conversational Emotion Recognition." ACL 2021.

Psycholinguistic Tripartite Graph Network for Personality Detection

Tao Yang, Feifan Yang, Haolan Ouyang, Xiaojun Quan. (2021). "Psycholinguistic Tripartite Graph Network for Personality Detection." ACL 2021.

Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory

Yunhao Li, Yunyi Yang, Xiaojun Quan, Jianxing Yu. (2021). "Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory." ACL 2021.

Syntax-Enhanced Pre-trained Model

Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan. (2021). "Syntax-Enhanced Pre-trained Model." ACL 2021.

Learning to Answer Psychological Questionnaire for Personality Detection

Feifan Yang, Tao Yang, Xiaojun Quan, Qinliang Su. (2021). "Learning to Answer Psychological Questionnaire for Personality Detection." EMNLP 2021.

Compound Aspect Extraction by Augmentation and Constituency Lattice

Xiaojun Quan, Zhengcheng Min, Kun Li, Yunyi Yang. (2022). "Compound Aspect Extraction by Augmentation and Constituency Lattice." IEEE Transactions on Affective Computing 2022.

WebFormer: The Web-page Transformer for Structure Information Extraction

Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu. (2022). "WebFormer: The Web-page Transformer for Structure Information Extraction." WWW 2022.

GL-RG: Global-Local Representation Granularity for Video Captioning

Liqi Yan, Yiming Cui, Qifan Wang, Xiangyu Zhang, Fuli Feng, Dongfang Liu, Xiaojun Quan. (2022). "GL-RG: Global-Local Representation Granularity for Video Captioning." IJCAI 2022.

Autoregressive Entity Generation for End-to-End Task-Oriented Dialog

Guanhuang Huang, Xiaojun Quan, Qifan Wang. (2022). "Autoregressive Entity Generation for End-to-End Task-Oriented Dialog." COLING 2022.

AD-DROP: Attribution Driven Dropout for Robust Language Model Finetuning

Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie. (2022). "AD-DROP: Attribution Driven Dropout for Robust Language Model Finetuning." NeurIPS 2022.

Learning to Generate Question by Asking Question: A Primal-Dual Approach

Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma. (2022). "Learning to Generate Question by Asking Question: A Primal-Dual Approach." EMNLP 2022.

XPrompt: Exploring the Extreme of Prompt Tuning

Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song. (2022). "XPrompt: Exploring the Extreme of Prompt Tuning." EMNLP 2022.

Multi-Party Conversation Modeling for Emotion Recognition

Xiaojun Quan, Siyue Wu, Junqing Chen, Weizhou Shen, Jianxing Yu. (2023). "Multi-Party Conversation Modeling for Emotion Recognition." IEEE Transactions on Affective Computing 2023.

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension

Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang. (2023). "A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension." AAAI 2023.

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang. (2023). "Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection." AAAI 2023.

Generic Dependency Modeling for Multi-Party Conversation

Weizhou Shen, Xiaojun Quan, Ke Yang. (2023). "Generic Dependency Modeling for Multi-Party Conversation." ICASSP 2023.

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression

Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang. (2023). "AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression." ACL 2023.

Clustering-Aware Negative Sampling for Unsupervised Sentence Representation

Jinghao Deng, Fanqi Wan, Tao Yang, Xiaojun Quan, Rui Wang. (2023). "Clustering-Aware Negative Sampling for Unsupervised Sentence Representation." ACL 2023.

Disentangled Phonetic Representation for Chinese Spelling Correction

Zihong Liang, Xiaojun Quan, Qifan Wang. (2023). "Disentangled Phonetic Representation for Chinese Spelling Correction." ACL 2023.

Joint Generator-Ranker Learning for Natural Language Generation

Weizhou Shen, Yeyun Gong, Yelong Shen, Song Wang, Xiaojun Quan, Nan Duan, Weizhu Chen. (2023). "Joint Generator-Ranker Learning for Natural Language Generation." ACL 2023.

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu. (2023). "MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction." ACL 2023.

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog

Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan, Wei Bi. (2023). "Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog." ACL 2023.

MUSTIE: Multimodal Structural Transformer for Web Information Extraction

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu. (2023). "MUSTIE: Multimodal Structural Transformer for Web Information Extraction." ACL 2023.

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu. (2023). "APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models." EMNLP 2023.

Xiaojun Quan