| 2026 | AAAI | WikiREVIEW: A Multi-Perspective Review Framework for Automatic Wiki-Style Article Generation. | Guo-Biao Zhang, Zhijing Wu, Tian Lan, Ding-Yuan Liu, Yu-Shi Zhu, Xian-Ling Mao |
| 2026 | ACL | Multi-Hop Knowledge Editing via Critic-Guided Multi-Agent Reasoning. | Xudong Li, Yuhang Tian, Dandan Song, Zhijing Wu, Shuhao Zhang, Jun Yang, Yongyu Huo, Changzhi Zhou, Xinyu Zhang, Chenhao Li, Huipeng Ma, Luan Zhang, Yan Xu, Qian Liu |
| 2026 | ACL | Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning. | Zi-Ao Ma, Xian-Ling Mao, Tian Lan, Chen Xu, Zhijing Wu |
| 2026 | ACL | Subgraph-Guided Executable Logical Form Generation for Knowledge Base Question Answering. | Yuhang Tian, Dandan Song, Zhijing Wu, Changzhi Zhou, Jun Yang, Huipeng Ma, Chenhao Li, Luan Zhang, Yading Li, Xudong Li, Shenxi Liu, Jing Jiang |
| 2026 | WWW | A Fact-Checking Framework with Denoising Evidence Retrieval and LLM-Based Debate Verification. | Jun Yang, Yuhan Bai, Dandan Song, Zhijing Wu, Yuhang Tian |
| 2026 | SIGIR | G-CoS: An Interpretable Gain-Cost Framework for User Satisfaction Estimation in Generative Information Retrieval. | Jia-Ling Shi, Zhijing Wu, Yidong Liang, Xian-Ling Mao |
| 2025 | AAAI | BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models. | Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu |
| 2025 | ACL | A Persona-Aware LLM-Enhanced Framework for Multi-Session Personalized Dialogue Generation. | Dongshuo Liu, Zhijing Wu, Dandan Song, Heyan Huang |
| 2025 | ACL | FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference. | Runheng Liu, Xingchen Xiao, Heyan Huang, Zewen Chi, Zhijing Wu |
| 2025 | CogSci | A Brain-Inspired Multimodal Sentiment Analysis Framework via Rationale-Guided Representation. | Gaifang Luo, Hao Zhang, Haomin Tan, Zhijing Wu, Yinghao Zhang, Dan Xu |
| 2025 | EMNLP | SimVBG: Simulating Individual Values by Backstory Generation. | Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Shuqi Zhu, Qingyao Ai, Yujia Zhou, Yiqun Liu |
| 2025 | EMNLP | CompKBQA: Component-wise Task Decomposition for Knowledge Base Question Answering. | Yuhang Tian, Dandan Song, Zhijing Wu, Pan Yang, Changzhi Zhou, Jun Yang, Hao Wang, Huipeng Ma, Chenhao Li, Luan Zhang |
| 2025 | EMNLP | GRV-KBQA: A Three-Stage Framework for Knowledge Base Question Answering with Decoupled Logical Structure, Semantic Grounding and Structure-Aware Validation. | Yuhang Tian, Pan Yang, Dandan Song, Zhijing Wu, Hao Wang |
| 2025 | EMNLP | Path-enhanced Pre-trained Language Model for Knowledge Graph Completion. | Hao Wang, Dandan Song, Zhijing Wu, Yuhang Tian, Pan Yang |
| 2025 | IJCAI | Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis. | Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang |
| 2025 | SIGIR | Understanding the Effect of Opinion Polarization in Short Video Browsing. | Bangde Du, Ziyi Ye, Zhijing Wu, Monika Jankowska, Qingyao Ai, Yiqun Liu |
| 2025 | SIGIR | How Users Interact with Generative Information Retrieval Systems: A Study of User Behavior and Search Experience. | Yidong Liang, Zhijing Wu, Fan Zhang, Dandan Song, Heyan Huang |
| 2025 | SIGIR | A Flexible User Study Platform for Generative Information Retrieval. | Yidong Liang, Zhijing Wu, Yuchen He, Fengming Liang, Kexin Liu, Jiaxin Mao |
| 2024 | ACL | DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models. | Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun Liu |
| 2024 | ACL | Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models. | Weihang Su, Changyue Wang, Qingyao Ai, Yiran Hu, Zhijing Wu, Yujia Zhou, Yiqun Liu |
| 2024 | ACL | PEK: A Parameter-Efficient Framework for Knowledge-Grounded Dialogue Generation. | Pan Yang, Dandan Song, Zhijing Wu, Yanru Zhou |
| 2024 | EMNLP | Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering. | Yuhang Tian, Dandan Song, Zhijing Wu, Changzhi Zhou, Hao Wang, Jun Yang, Jing Xu, Ruanmin Cao, Haoyu Wang |
| 2024 | KSEM | Insert Commonsense Knowledge Through Semantics for Dialogue Generation. | Siqi Hou, Dandan Song, Zhijing Wu, Xiechao Guo, Ziyi Yang |
| 2024 | NAACL | Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction. | Jing Xu, Dandan Song, Siu Hui, Zhijing Wu, Meihuizi Jia, Hao Wang, Yanru Zhou, Changzhi Zhou, Ziyi Yang |
| 2024 | WWW | Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. | Changzhi Zhou, Zhijing Wu, Dandan Song, Linmei Hu, Yuhang Tian, Jing Xu |
| 2024 | SIGIR | Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. | Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma |
| 2023 | WWW | A Passage-Level Reading Behavior Model for Mobile Search. | Zhijing Wu, Jiaxin Mao, Kedi Xu, Dandan Song, Heyan Huang |
| 2023 | SIGIR | Behavior Modeling for Point of Interest Search. | Haitian Chen, Qingyao Ai, Zhijing Wu, Zhihong Wang, Yiqun Liu, Min Zhang, Shaoping Ma, Juan Hu, Naiqiang Tan, Hua Chai |
| 2023 | SIGIR | T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. | Xiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma |
| 2022 | CIKM | An In-depth Interactive and Visualized Platform for Evaluating and Analyzing MRC Models. | Zhijing Wu, Jingliang Fang, Hua Xu, Kai Gao |
| 2022 | COLING | A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction. | Changzhi Zhou, Dandan Song, Jing Xu, Zhijing Wu |
| 2022 | ICARCV | A Novel Potential Drowning Detection System Based on Millimeter-Wave Radar. | Xuliang Yu, Zhihui Cao, Zhijing Wu, Chunyi Song, Jiang Zhu, Zhiwei Xu |
| 2022 | NAACL | Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. | Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao |
| 2022 | WSDM | A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. | Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2020 | AAAI | A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract). | Zhijing Wu, Hua Xu |
| 2020 | CIKM | Providing Direct Answers in Search Results: A Study of User Behavior. | Zhijing Wu, Mark Sanderson, Berkant Barla Cambazoglu, W. Bruce Croft, Falk Scholer |
| 2020 | WWW | Leveraging Passage-level Cumulative Gain for Document Ranking. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Jingtao Zhan, Yukun Zheng, Min Zhang, Shaoping Ma |
| 2020 | SIGIR | Investigating Reading Behavior in Fine-grained Relevance Judgment. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | SIGIR | Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. | Zhijing Wu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | WSDM | The Influence of Image Search Intents on User Behavior and Satisfaction. | Zhijing Wu, Yiqun Liu, Qianfan Zhang, Kailu Wu, Min Zhang, Shaoping Ma |
| 2017 | SIGIR | Investigating Examination Behavior of Image Search Users. | Xiaohui Xie, Yiqun Liu, Xiaochuan Wang, Meng Wang, Zhijing Wu, Yingying Wu, Min Zhang, Shaoping Ma |