| 2026 | AAAI | Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval. | Ang Li, Yufei Shi, Yuxuan Si, Yiquan Wu, Ming Cai, Xu Tan, Yi Wang, Changlong Sun, Xiaozhong Liu, Kun Kuang |
| 2026 | AAAI | VitalDiagnosis: AI-Driven Ecosystem for 24/7 Vital Monitoring and Chronic Disease Management. | Zhikai Xue, Tianqianjin Lin, Pengwei Yan, Ruichun Wang, Yuxin Liu, Zhuoren Jiang, Xiaozhong Liu |
| 2026 | AAAI | P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering. | Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun, Yi Wang, Xiaozhong Liu, Kun Kuang |
| 2026 | ACL | LLMs as Lab Engineers: A Benchmark for Analytical Method Lifecycle Management. | Xiaoyi Chen, Mahsa Monshizadeh, Chaoqi Zhang, Jianjun Lang, Yang Wu, Genevieve Mortensen, Xiaozhong Liu, Haixu Tang |
| 2026 | ACL | "I Don't Know What to Say": A Fact-Filling Questionnaire Method to Help Non-Experts Talk to LegalAI Assistant. | Yuting Huang, Yiquan Wu, Meitong Guo, Ang Li, Xiaozhong Liu, Keting Yin, Fei Wu, Kun Kuang |
| 2026 | ACL | "Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations. | Yang Wu, Jinhong Yu, Jingwei Xiong, Zhimin Tao, Xiaozhong Liu |
| 2026 | ACL | Beyond Local vs. External: A Game-Theoretic Framework for Trustworthy Knowledge Acquisition. | Rujing Yao, Yufei Shi, Yang Wu, Ang Li, Zhuoren Jiang, Xiaofeng Wang, Haixu Tang, Xiaozhong Liu |
| 2026 | ACL | LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation. | Weikang Yuan, Kaisong Song, Zhuoren Jiang, Junjie Cao, Yujie Zhang, Jun Lin, Kun Kuang, Ji Zhang, Xiaozhong Liu |
| 2026 | ACL | PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering. | Yiqing Zhang, Xiaozhong Liu, Fabricio Murai |
| 2026 | ACL | From Individual Excellence to Collective Sustainability: Seeking Strategic Equilibrium in Proactive Multi-Agent Teams. | Tong Zhang, Yang Wu, Yufei Shi, Rujing Yao, Zhuoren Jiang, Xiaozhong Liu |
| 2026 | WSDM | Privacy-preserved LLM Cascade via CoT-enhanced Policy Learning. | Kai Zhang, Congchao Wang, Liqian Peng, Alec Go, Xiaozhong Liu |
| 2025 | CCS | FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models. | Zhuo Chen, Yuyang Gong, Jiawei Liu, Miaokun Chen, Haotan Liu, Qikai Cheng, Fan Zhang, Wei Lu, Xiaozhong Liu |
| 2025 | EMNLP | BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks. | Tianyuan Huang, Zepeng Zhu, Hangdi Xing, Zirui Shao, Zhi Yu, Chaoxiong Yang, Jiaxian He, Xiaozhong Liu, Jiajun Bu |
| 2025 | EMNLP | Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains. | Yang Wu, Raha Moraffah, Rujing Yao, Jinhong Yu, Zhimin Tao, Xiaozhong Liu |
| 2025 | EMNLP | ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning. | Yang Wu, Huayi Zhang, Yizheng Jiao, Lin Ma, Xiaozhong Liu, Jinhong Yu, Dongyu Zhang, Dezhi Yu, Wei Xu |
| 2025 | ICAIL | Deep Interaction Timing: FOL-based Complexity Differentiation for Legal Queries. | Tong Zhang, Yiquan Wu, Rujing Yao, Qianyu Zhang, Changlong Sun, Chenghao Wang, Xiaozhong Liu |
| 2025 | KDD | CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs. | Yiqing Zhang, Xiaozhong Liu, Fabricio Murai |
| 2025 | NAACL | Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning. | Rujing Yao, Yang Wu, Chenghao Wang, Jingwei Xiong, Fang Wang, Xiaozhong Liu |
| 2025 | WWW | Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach. | Param Kulkarni, Yingchi Liu, Hao-Ming Fu, Shaohua Yang, Isuru Gunasekara, Matt Peloquin, Noah Spitzer-Williams, Xiaotian Zhou, Xiaozhong Liu, Zhengping Ji, Yasser Ibrahim |
| 2025 | WWW | Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering. | Rujing Yao, Yiquan Wu, Tong Zhang, Xuhui Zhang, Yuting Huang, Yang Wu, Jiayin Yang, Changlong Sun, Fang Wang, Xiaozhong Liu |
| 2025 | SDM | MEXA-CTP: Mode Experts Cross-Attention for Clinical Trial Outcome Prediction. | Yiqing Zhang, Xiaozhong Liu, Fabricio Murai |
| 2024 | AAAI | Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. | Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu |
| 2024 | ACL | From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications. | Yongqiang Ma, Lizhi Qing, Jiawei Liu, Yangyang Kang, Yue Zhang, Wei Lu, Xiaozhong Liu, Qikai Cheng |
| 2024 | ACL | Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning. | Yang Wu, Chenghao Wang, Ece Gumusel, Xiaozhong Liu |
| 2024 | COLING | PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification. | Xurui Li, Kaisong Song, Tianqianjin Lin, Yangyang Kang, Fubang Zhao, Changlong Sun, Xiaozhong Liu |
| 2024 | COLING | Enhance Robustness of Language Models against Variation Attack through Graph Integration. | Zi Xiong, Lizhi Qing, Yangyang Kang, Jiawei Liu, Hongsong Li, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2024 | COLING | Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance. | Kai Zhang, Pengcheng Li, Kaisong Song, Xurui Li, Yangyang Kang, Xuhong Zhang, Xiaozhong Liu |
| 2024 | EMNLP | Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration. | Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu |
| 2024 | NAACL | LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination. | Kai Zhang, Yangyang Kang, Fubang Zhao, Xiaozhong Liu |
| 2024 | PAKDD | IR Embedding Fairness Inspection via Contrastive Learning and Human-AI Collaborative Intelligence. | Heng Huang, Yunhan Bai, Hongwei Liang, Xiaozhong Liu |
| 2024 | SIGIR | I3: Intent-Introspective Retrieval Conditioned on Instructions. | Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang |
| 2024 | SIGIR | Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction. | Pengwei Yan, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu |
| 2024 | SP | MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion. | Zilong Lin, Zhengyi Li, Xiaojing Liao, XiaoFeng Wang, Xiaozhong Liu |
| 2023 | AAAI | A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis. | Kaisong Song, Yangyang Kang, Jiawei Liu, Xurui Li, Changlong Sun, Xiaozhong Liu |
| 2023 | AAAI | Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive. | Feng Yao, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Yun Liu, Weixing Shen |
| 2023 | CIKM | Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction. | Yang Wu, Xurui Li, Xuhong Zhang, Yangyang Kang, Changlong Sun, Xiaozhong Liu |
| 2023 | EMNLP | Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document. | Xiangnan Chen, Qian Xiao, Juncheng Li, Duo Dong, Jun Lin, Xiaozhong Liu, Siliang Tang |
| 2023 | EMNLP | STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion. | Xurui Li, Yue Qin, Rui Zhu, Tianqianjin Lin, Yongming Fan, Yangyang Kang, Kaisong Song, Fubang Zhao, Changlong Sun, Haixu Tang, Xiaozhong Liu |
| 2023 | EMNLP | Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization. | Kaihang Pan, Juncheng Li, Hongye Song, Jun Lin, Xiaozhong Liu, Siliang Tang |
| 2023 | EMNLP | GEM: Gestalt Enhanced Markup Language Model for Web Understanding via Render Tree. | Zirui Shao, Feiyu Gao, Zhongda Qi, Hangdi Xing, Jiajun Bu, Zhi Yu, Qi Zheng, Xiaozhong Liu |
| 2023 | EMNLP | Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. | Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang |
| 2023 | EMNLP | Content- and Topology-Aware Representation Learning for Scientific Multi-Literature. | Kai Zhang, Kaisong Song, Yangyang Kang, Xiaozhong Liu |
| 2023 | ICDM | Racial Skew in Fine-Tuned Legal AI Language Models. | Vincent Quirante Malic, Anamika Kumari, Xiaozhong Liu |
| 2022 | CCS | Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. | Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, Xiaofeng Wang, Wei Lu, Xiaozhong Liu |
| 2022 | KDD | Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. | Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu |
| 2021 | AAAI | Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. | Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2021 | AAAI | Evidence Aware Neural Pornographic Text Identification for Child Protection. | Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu |
| 2021 | AAAI | Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. | Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2021 | AAAI | Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. | Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2021 | ACL | RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy. | Xiyan Fu, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Changlong Sun, Zhenglu Yang |
| 2021 | ACL | Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning. | Fubang Zhao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu |
| 2021 | CIKM | A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. | Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao |
| 2021 | EMNLP | A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis. | Jiawei Liu, Kaisong Song, Yangyang Kang, Guoxiu He, Zhuoren Jiang, Changlong Sun, Wei Lu, Xiaozhong Liu |
| 2021 | SIGIR | Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. | Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang |
| 2021 | SIGIR | Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. | Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke |
| 2021 | SP | Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis. | Yi Chen, Yepeng Yao, XiaoFeng Wang, Dandan Xu, Chang Yue, Xiaozhong Liu, Kai Chen, Haixu Tang, Baoxu Liu |
| 2020 | AAAI | Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. | Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan |
| 2020 | AAAI | Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. | Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
| 2020 | AAAI | Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning. | Tianyi Wang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Qiong Zhang |
| 2020 | ACL | Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning. | Zhuoren Jiang, Zhe Gao, Yu Duan, Yangyang Kang, Changlong Sun, Qiong Zhang, Xiaozhong Liu |
| 2020 | ECAI | Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. | Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu |
| 2020 | EMNLP | Predicting Clinical Trial Results by Implicit Evidence Integration. | Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang |
| 2020 | EMNLP | Cross Copy Network for Dialogue Generation. | Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao |
| 2020 | EMNLP | De-Biased Court's View Generation with Causality. | Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu |
| 2020 | EMNLP | Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue. | Weisheng Zhang, Kaisong Song, Yangyang Kang, Zhongqing Wang, Changlong Sun, Xiaozhong Liu, Shoushan Li, Min Zhang, Luo Si |
| 2020 | WWW | Task-Oriented Genetic Activation for Large-Scale Complex Heterogeneous Graph Embedding. | Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, Xiaozhong Liu |
| 2020 | SIGIR | Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning. | Zheng Gao, Hongsong Li, Zhuoren Jiang, Xiaozhong Liu |
| 2020 | SIGIR | Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise. | Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2020 | SIGIR | Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. | Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, Wei Lu |
| 2020 | SIGIR | Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment. | Haojie Pan, Rongqin Yang, Xin Zhou, Rui Wang, Deng Cai, Xiaozhong Liu |
| 2020 | SIGIR | Legal Intelligence: Algorithmic, Data, and Social Challenges. | Changlong Sun, Yating Zhang, Xiaozhong Liu, Fei Wu |
| 2020 | SIGIR | Evolutionary Product Description Generation: A Dynamic Fine-Tuning Approach Leveraging User Click Behavior. | Yongzhen Wang, Jian Wang, Heng Huang, Hongsong Li, Xiaozhong Liu |
| 2019 | ACL | Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. | Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
| 2019 | CIKM | Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning. | Xinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, Fei Wu |
| 2019 | CIKM | Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. | Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu |
| 2019 | CIKM | Sexual Harassment Story Classification and Key Information Identification. | Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si |
| 2019 | EMNLP | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. | Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu |
| 2019 | EMNLP | Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. | Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si |
| 2019 | EMNLP | Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. | Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang |
| 2019 | EMNLP | Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. | Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou |
| 2019 | GECCO | Efficient personalized community detection via genetic evolution. | Zheng Gao, Chun Guo, Xiaozhong Liu |
| 2019 | IJCAI | Cold-Start Aware Deep Memory Network for Multi-Entity Aspect-Based Sentiment Analysis. | Kaisong Song, Wei Gao, Lujun Zhao, Jun Lin, Changlong Sun, Xiaozhong Liu |
| 2019 | WWW | Domain-aware Neural Model for Sequence Labeling using Joint Learning. | Heng Huang, Xiaozhong Liu, Yuliang Yan |
| 2019 | WWW | Quality-Sensitive Training! Social Advertisement Generation by Leveraging User Click Behavior. | Yongzhen Wang, Heng Huang, Yuliang Yan, Xiaozhong Liu |
| 2019 | WWW | Review Response Generation in E-Commerce Platforms with External Product Information. | Lujun Zhao, Kaisong Song, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu |
| 2019 | SIGIR | Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model. | Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang, Luo Si |
| 2019 | SIGIR | Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. | Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Luo Si |
| 2018 | CIKM | Mathematics Content Understanding for Cyberlearning via Formula Evolution Map. | Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, Xiaozhong Liu |
| 2018 | COLING | One vs. Many QA Matching with both Word-level and Sentence-level Attention Network. | Lu Wang, Shoushan Li, Changlong Sun, Luo Si, Xiaozhong Liu, Min Zhang, Guodong Zhou |
| 2018 | EMNLP | Sentiment Classification towards Question-Answering with Hierarchical Matching Network. | Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
| 2018 | EMNLP | Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. | Yongzhen Wang, Xiaozhong Liu, Zheng Gao |
| 2018 | SIGIR | Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph. | Zhuoren Jiang, Yue Yin, Liangcai Gao, Yao Lu, Xiaozhong Liu |
| 2017 | ICTIR | Personalized Navigation and Random Walk on a Complex Heterogeneous Graph. | Xiaozhong Liu, Yingying Yu, Zhuoren Jiang, Chun Guo, Scott Jensen |
| 2017 | RecSys | Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning. | Yang Zhang, Chenwei Zhang, Xiaozhong Liu |
| 2016 | ICWSM | Cross Social Media Recommendation. | Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun |
| 2016 | SIGIR | Community-based Cyberreading for Information Understanding. | Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao, Zhi Tang |
| 2015 | CIKM | Chronological Citation Recommendation with Information-Need Shifting. | Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao |
| 2015 | SIGIR | Automatic Feature Generation on Heterogeneous Graph for Music Recommendation. | Chun Guo, Xiaozhong Liu |
| 2015 | SIGIR | Scientific Information Understanding via Open Educational Resources (OER). | Xiaozhong Liu, Zhuoren Jiang, Liangcai Gao |
| 2015 | SIGIR | Random Walk and Feedback on Scholarly Network. | Yingying Yu, Zhuoren Jiang, Xiaozhong Liu |
| 2014 | CIKM | Semantic Annotation with RescoredESA: Rescoring Concept Features Generated From Explicit Semantic Analysis. | Zhuoren Jiang, Miao Chen, Xiaozhong Liu |
| 2014 | CIKM | Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation. | Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao |
| 2014 | CIKM | Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation. | Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun |
| 2014 | DC | Interlinking Cross Language Metadata Using Heterogeneous Graphs and Wikipedia. | Xiaozhong Liu, Miao Chen, Jian Qin |
| 2014 | SIGIR | A mathematics retrieval system for formulae in layout presentations. | Xiaoyan Lin, Liangcai Gao, Xuan Hu, Zhi Tang, Yingnan Xiao, Xiaozhong Liu |
| 2013 | CIKM | Mirroring the real world in social media: twitter, geolocation, and sentiment analysis. | Eric Baucom, Azade Sanjari, Xiaozhong Liu, Miao Chen |
| 2013 | CIKM | 2013 international workshop on computational scientometrics: theory and applications. | Cornelia Caragea, C. Lee Giles, Lior Rokach, Xiaozhong Liu |
| 2013 | CIKM | Workshop summary for the 2013 international workshop on mining unstructured big data using natural language processing. | Xiaozhong Liu, Miao Chen, Ying Ding, Min Song |
| 2012 | CIKM | Full-text citation analysis: enhancing bibliometric and scientific publication ranking. | Xiaozhong Liu, Jinsong Zhang, Chun Guo |
| 2012 | WWW | Improving news ranking by community tweets. | Xin Shuai, Xiaozhong Liu, Johan Bollen |
| 2012 | SIGIR | WikiQuery - An Interactive Collaboration Interface for Creating, Storing and Sharing Effective CNF Queries. | Le Zhao, Xiaozhong Liu, Jamie Callan |
| 2010 | DC | Linking Entities in Scientific Metadata. | Jian Qin, Miao Chen, Xiaozhong Liu, Andrea Kathleen Wiggins |
| 2009 | CIKM | Computational community interest for ranking. | Xiaozhong Liu, Vadim von Brzeski |
| 2009 | DC | Using Metadata for Query Refinement and Recommendation. | Jian Qin, Xiaozhong Liu, Xia Lin, Miao Chen |
| 2009 | SIGIR | Using computational community interest as an indicator for ranking. | Xiaozhong Liu |
| 2008 | DC | Semantic Relation Extraction from Socially-Generated Tags: A Methodology for Metadata Generation. | Miao Chen, Xiaozhong Liu, Jian Qin |