| 2026 | ACL | FactVerse: A Benchmark for Factual Consistency in Interleaved Image-Text Generation. | Yubo Shan, Kun Zhang, Qiming Xu, Liping Cao, Yingying Cao, Jian Zhang, Yu Wang, Jingyuan Li, Yuanzhuo Wang |
| 2026 | ACL | JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation. | Zhichao Shi, Xuhui Jiang, Chengjin Xu, Cangli Yao, Shengjie Ma, Yinghan Shen, Zixuan Li, Jian Guo, Yuanzhuo Wang |
| 2026 | ACL | DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis. | Zhichao Shi, Cehao Yang, Hao Zhou, Xiaojun Wu, Huajie Li, Xuhui Jiang, Chengjin Xu, Yuanzhuo Wang, Jian Guo |
| 2026 | ACL | BaseCal: Unsupervised Confidence Calibration via Base Model Signals. | Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang, Du Su, Jingang Wang, Yuanzhuo Wang, Fei Sun, Xueqi Cheng |
| 2026 | ACL | ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding. | Tian Xueyun, Wei Li, Bingbing Xu, Heng Dong, Yuanzhuo Wang, Huawei Shen |
| 2026 | ACL | Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization. | Tian Xueyun, Minghua Ma, Bingbing Xu, Nuoyan Lyu, Wei Li, Heng Dong, Zheng Chu, Yuanzhuo Wang, Huawei Shen |
| 2026 | ECIR | Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization. | Yan Lei, Suncong Zheng, Roberts Wang, Liang Pang, Lei He, Shuang Chen, Yu Wang, Huawei Shen, Xueqi Cheng, Yuanzhuo Wang |
| 2025 | CIKM | GenR1-Searcher: Curriculum Reinforcement Learning for Dynamic Retrieval and Document Generation. | Yu Wang, Yixuan Zhao, Renrui Duan, Jingyuan Li, Yuanzhuo Wang, Kun Zhang |
| 2025 | EMNLP | Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph. | Minghang Liu, Yinghan Shen, Zihe Huang, Yuanzhuo Wang, Xuhui Jiang, Huawei Shen |
| 2025 | EMNLP | Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. | Hexiang Tan, Fei Sun, Sha Liu, Du Su, Qi Cao, Xin Chen, Jingang Wang, Xunliang Cai, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2025 | MICCAI | Tetra-Orientated Mamba with T2-FLAIR Mismatch Features for Glioma Segmentation, IDH Genotyping, and Grading. | Xinyu Li, Jin Liu, Hulin Kuang, Yuanzhuo Wang, Jianxin Wang |
| 2025 | NAACL | SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs. | Zhichao Shi, Shaoling Jing, Yi Cheng, Hao Zhang, Yuanzhuo Wang, Jie Zhang, Huawei Shen, Xueqi Cheng |
| 2025 | WWW | RLG-RAG: Guiding the Knowledge Retrieval and Evaluation in Retrieval-Augmented Generation Framework by Reasoning Logic. | Kehan Xu, Kun Zhang, Wei Huang, Jingyuan Li, Yuanzhuo Wang |
| 2024 | AAAI | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. | Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou |
| 2024 | ACL | Unlocking the Power of Large Language Models for Entity Alignment. | Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang |
| 2024 | ACL | Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? | Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng |
| 2024 | COLING | Qsnail: A Questionnaire Dataset for Sequential Question Generation. | Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng |
| 2024 | EMNLP | MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment. | Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Huang Zihe, Jian Guo, Yuanzhuo Wang |
| 2024 | WWW | Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. | Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen |
| 2023 | DASFAA | Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. | Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma |
| 2023 | EMNLP | ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. | Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen |
| 2023 | KDD | CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval. | Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai |
| 2022 | COLING | Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. | Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng |
| 2021 | ACL | Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. | Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | SIGIR | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. | Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng |
| 2020 | AAAI | Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). | Jialin Su, Yuanzhuo Wang, Xiaolong Jin, Yantao Jia, Xueqi Cheng |
| 2020 | ACL | NeuInfer: Knowledge Inference on N-ary Facts. | Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng |
| 2020 | CIKM | Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. | Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng |
| 2020 | WSDM | Stepwise Reasoning for Multi-Relation Question Answering over Knowledge Graph with Weak Supervision. | Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin, Kun Zhang |
| 2019 | HPCC | A Unified Malicious Documents Detection Model Based on Two Layers of Abstraction. | Min Yu, Jianguo Jiang, Gang Li, Jingyuan Li, Chenzhe Lou, Chao Liu, Weiqing Huang, Yuanzhuo Wang |
| 2019 | WWW | Link Prediction on N-ary Relational Data. | Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | AAAI | Path-Based Attention Neural Model for Fine-Grained Entity Typing. | Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang |
| 2018 | ACL | Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention. | Yue Zhao, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | CIKM | Shared Embedding Based Neural Networks for Knowledge Graph Completion. | Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | EMNLP | Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling. | Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang |
| 2018 | EMNLP | Improving Neural Abstractive Document Summarization with Structural Regularization. | Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang |
| 2018 | ICDM | Path Reasoning over Knowledge Graph: A Multi-agent and Reinforcement Learning Based Method. | Zixuan Li, Xiaolong Jin, Saiping Guan, Yuanzhuo Wang, Xueqi Cheng |
| 2018 | KSEM | Joint Detection of Topic Entity and Relation for Simple Question Answering. | Yunqi Qiu, Yuanzhuo Wang, Xiaolong Jin |
| 2018 | WWW | Hierarchical Type Constrained Topic Entity Detection for Knowledge Base Question Answering. | Yunqi Qiu, Manling Li, Yuanzhuo Wang, Yantao Jia, Xiaolong Jin |
| 2017 | AAAI | Learning Knowledge Representation Across Knowledge Graphs. | Pengshan Cai, Wei Li, Yansong Feng, Yuanzhuo Wang, Yantao Jia |
| 2017 | ICONIP | Analysing the Evolution of Contrary Opinions on a Controversial Network Event. | Qu Liu, Yuanzhuo Wang, Chuang Lin, Guoliang Xing |
| 2017 | WWW | Coarse to Fine: Diffusing Categories in Wikipedia. | Pengshan Cai, Yansong Feng, Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng |
| 2016 | AAAI | Locally Adaptive Translation for Knowledge Graph Embedding. | Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng |
| 2016 | AAAI | Predicting Links and Their Building Time: A Path-Based Approach. | Manling Li, Yantao Jia, Yuanzhuo Wang, Zeya Zhao, Xueqi Cheng |
| 2016 | APWEB | The Competition of User Attentions Among Social Network Services: A Social Evolutionary Game Approach. | Jingyuan Li, Yuanzhuo Wang, Yuan Lu, Xueqi Cheng, Yan Ren |
| 2016 | APWEB | Mechanism Analysis of Competitive Information Synchronous Dissemination in Social Networks. | Yuan Lu, Yuanzhuo Wang, Jianye Yu, Jingyuan Li, Li Liu |
| 2016 | PAKDD | A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer. | Hailun Lin, Yuanzhuo Wang, Peng Zhang, Weiping Wang, Yinliang Yue, Zheng Lin |
| 2016 | WWW | Hierarchy-Based Link Prediction in Knowledge Graphs. | Manling Li, Yantao Jia, Yuanzhuo Wang, Jingyuan Li, Xueqi Cheng |
| 2015 | APWEB | An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matching. | Hailun Lin, Yuanzhuo Wang, Yantao Jia, Jinhua Xiong, Peng Zhang, Xueqi Cheng |
| 2014 | AAAI | LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs. | Dawei Liu, Yuanzhuo Wang, Yantao Jia, Jingyuan Li, Zhihua Yu |
| 2014 | AAAI | Content-Structural Relation Inference in Knowledge Base. | Zeya Zhao, Yantao Jia, Yuanzhuo Wang |
| 2014 | APWEB | Predicting User Likes in Online Media Based on Conceptualized Social Network Profiles. | Qiang Liu, Yuanzhuo Wang, Jingyuan Li, Yantao Jia, Yan Ren |
| 2014 | CIKM | A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis. | Zheng Lin, Xiaolong Jin, Xueke Xu, Weiping Wang, Xueqi Cheng, Yuanzhuo Wang |
| 2014 | WWW | Evolutionary analysis on online social networks using a social evolutionary game. | Jianye Yu, Yuanzhuo Wang, Xiaolong Jin, Jingyuan Li, Xueqi Cheng |
| 2013 | ISI | Stochastic game model for information dissemination of emergency events in social network. | Li Liu, Yuanzhuo Wang, Jing Ding |
| 2013 | WWW | Structural-interaction link prediction in microblogs. | Yantao Jia, Yuanzhuo Wang, Jingyuan Li, Kai Feng, Xueqi Cheng, Jianchen Li |
| 2013 | WWW | Co-training and visualizing sentiment evolvement for tweet events. | Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu, Yuanzhuo Wang |
| 2012 | ISCC | Analyzing application private information leaks with privacy Petri Net. | Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li |
| 2012 | PDCAT | Privacy Theft Malware Detection with Privacy Petri Net. | Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Shuyuan Jin |
| 2011 | ISI | Trojan characteristics analysis based on Stochastic Petri Nets. | He Gao, Yuanzhuo Wang, Li Wang, Li Liu, Jinming Li, Xueqi Cheng |
| 2011 | PDCAT | Prevent DNS Cache Poisoning Using Security Proxy. | Lejun Fan, Yuanzhuo Wang, Xueqi Cheng, Jinming Li |
| 2011 | PDCAT | Modeling and Analysis of Email Worm Propagation Based on Stochastic Game Nets. | Min Yu, Yuanzhuo Wang, Li Liu, Xueqi Cheng |
| 2010 | GLOBECOM | Performance Analysis of Channel Contention in Wireless Ad Hoc Networks: A Stochastic Game Nets Approach. | Jianxiong Wan, Chuang Lin, Xin Chen, Kun Meng, Yuanzhuo Wang |
| 2009 | AINA | A Novel Cookie-Based DDoS Protection Scheme and its Performance Analysis. | Rongfei Zeng, Chuang Lin, Hongkun Yang, Yuanzhuo Wang, Yang Wang, Peter D. Ungsunan |
| 2009 | GLOBECOM | Security Analysis for Online Banking System Using Hierarchical Stochastic Game Nets Model. | Yuanzhuo Wang, Chuang Lin, Kun Meng, Hongkun Yang, Junjie Lv |
| 2007 | ICNP | Improving the Convergence and Stability of Congestion Control Algorithm. | Xiaomeng Huang, Chuang Lin, Fengyuan Ren, Guangwen Yang, Peter D. Ungsunan, Yuanzhuo Wang |
| 2006 | APWEB | A Dependable Task Scheduling Strategy for a Fault Tolerant Grid Model. | Yuanzhuo Wang, Chuang Lin, Zhengli Zhai, Yang Yang |