Convolutional Neural Network-Based Question Answering Over Knowledge Base with Type Constraint. - Yongrui Chen 002; Huiying Li 003; Zejian Xu (CCKS, 2018)

Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base. - Yongrui Chen 002; Huiying Li 003; Yuncheng Hua; Guilin Qi (IJCAI, 2020)

DAM: Transformer-based relation detection for Question Answering over Knowledge Base. - Yongrui Chen 002; Huiying Li 003 (Knowl. Based Syst., 2020)

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning. - Yongrui Chen 002; Xinnan Guo; Chaojie Wang 007; Jian Qiu; Guilin Qi; Meng Wang 009; Huiying Li 003 (AAAI, 2021)

Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator. - Zhiqiang Cao; Zhijun Li 002; Pan Heng; Yongrui Chen 002; Daqi Xie; Jie Liu 001 (CoRR, 2021)

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph. - Yongrui Chen 002; Huiying Li 003; Guilin Qi; Tianxing Wu 001; Tenggou Wang (CoRR, 2021)

Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity. - Xinnan Guo; Yongrui Chen 002; Guilin Qi; Tianxing Wu 001; Hao Xu (IJCAI, 2022)

Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning. - Tinghao Zhang; Zhijun Li 002; Yongrui Chen 002; Kwok-Yan Lam; Jun Zhao 007 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams. - Yongrui Chen 002; Xinnan Guo; Tongtong Wu; Guilin Qi; Yang Li; Yang Dong (AAAI, 2023)

CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction. - Xinnan Guo; Wentao Deng; Yongrui Chen 002; Yang Li; Mengdi Zhou; Guilin Qi; Tianxing Wu 001; Dong Yang; Liubin Wang; Yong Pan (ACL (Findings), 2023)

TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding. - Rihui Jin; Jianan Wang; Wei Tan; Yongrui Chen 002; Guilin Qi; Wang Hao (EMNLP (Findings), 2023)

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction. - Jiaqi Li; Chuanyi Zhang; Miaozeng Du; Dehai Min; Yongrui Chen 002; Guilin Qi (EMNLP, 2023)

Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning. - Jiaqi Li; Guilin Qi; Chuanyi Zhang; Yongrui Chen 002; Yiming Tan; Chenlong Xia; Ye Tian (ACM Multimedia, 2023)

Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing. - Yongrui Chen 002; Shenyu Zhang; Guilin Qi; Xinnan Guo (NeurIPS, 2023)

Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family. - Yiming Tan; Dehai Min; Yu Li 021; Wenbo Li; Nan Hu; Yongrui Chen 002; Guilin Qi (ISWC, 2023)

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions. - Yiming Tan; Dehai Min; Yu Li 021; Wenbo Li; Nan Hu; Yongrui Chen 002; Guilin Qi (CoRR, 2023)

TeGit: Generating High-Quality Instruction-Tuning Data with Text-Grounded Task Design. - Yongrui Chen 002; Haiyun Jiang; Xinting Huang; Shuming Shi 001; Guilin Qi (CoRR, 2023)

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs. - Yiming Tan; Yongrui Chen 002; Guilin Qi; Weizhuo Li; Meng Wang 009 (Big Data Res., 2023)

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs. - Yongrui Chen 002; Huiying Li 003; Guilin Qi; Tianxing Wu 001; Tenggou Wang (IEEE Trans. Knowl. Data Eng., 2023)

CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs. - Yiming Tan; Xinyu Zhang; Yongrui Chen 002; Zafar Ali; Yuncheng Hua; Guilin Qi (Expert Syst. Appl., 2023)

Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues. - Xinnan Guo; Qian Zhu; Qiuhui Shi; Xuan Lin; Liubin Wang; DaqianLi DaqianLi; Yongrui Chen 002 (ACL (Findings), 2024)

MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing. - Jiaqi Li; Miaozeng Du; Chuanyi Zhang; Yongrui Chen 002; Nan Hu; Guilin Qi; Haiyun Jiang; Siyuan Cheng 008; Bozhong Tian (ACL (Findings), 2024)

MATEval: A Multi-agent Discussion Framework for Advancing Open-Ended Text Evaluation. - Yu Li 021; Shenyu Zhang; Rui Wu 010; Xiutian Huang; Yongrui Chen 002; Wenhao Xu; Guilin Qi; Dehai Min (DASFAA (7), 2024)

Attributed Triple Extraction by Combination Under Contrastive Learning. - Runzhe Wang; Gaofeng Xu; Guilin Qi; Yun Li; Yongrui Chen 002; Songlin Zhai; Yuxin Zhang; Rihui Jin; Nijun Li; Qianren Wang (DASFAA (7), 2024)

DEE: Dual-Stage Explainable Evaluation Method for Text Generation. - Shenyu Zhang; Yu Li 021; Rui Wu 010; Xiutian Huang; Yongrui Chen 002; Wenhao Xu; Guilin Qi (DASFAA (7), 2024)

DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping. - Yongrui Chen 002; Haiyun Jiang; Xinting Huang; Shuming Shi 001; Guilin Qi (NAACL-HLT, 2024)

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data. - Dehai Min; Nan Hu; Rihui Jin; Nuo Lin; Jiaoyan Chen 001; Yongrui Chen 002; Yu Li 021; Guilin Qi; Yun Li; Nijun Li; Qianren Wang (NAACL (Industry Track), 2024)

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models. - Jiaqi Li; Qianshan Wei; Chuanyi Zhang; Guilin Qi; Miaozeng Du; Yongrui Chen 002; Sheng Bi; Fan Liu (NeurIPS, 2024)

HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. - Rihui Jin; Yu Li 021; Guilin Qi; Nan Hu; Yuan-Fang Li; Jiaoyan Chen 001; Jianan Wang; Yongrui Chen 002; Dehai Min (CoRR, 2024)

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models. - Jiaqi Li; Qianshan Wei; Chuanyi Zhang; Guilin Qi; Miaozeng Du; Yongrui Chen 002; Sheng Bi (CoRR, 2024)

Event is more valuable than you think: Improving the Similar Legal Case Retrieval via event knowledge. - Yuxin Zhang; Songlin Zhai; Yuan Meng; Sheng Bi; Yongrui Chen 002; Guilin Qi (Inf. Process. Manag., 2024)

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. - Rihui Jin; Yu Li 021; Guilin Qi; Nan Hu; Yuan-Fang Li; Jiaoyan Chen 001; Jianan Wang; Yongrui Chen 002; Dehai Min; Sheng Bi (AAAI, 2025)

Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs. - Nan Hu; Jiaoyan Chen 001; Yike Wu; Guilin Qi; Hongru Wang 003; Sheng Bi; Yongrui Chen 002; Tongtong Wu; Jeff Z. Pan (ACL (1), 2025)

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models. - Jiaqi Li; Chuanyi Zhang; Miaozeng Du; Hui Zhang; Yongrui Chen 002; Qianshan Wei; Junfeng Fang; Ruipeng Wang; Sheng Bi; Guilin Qi (ACL (Findings), 2025)

Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. - Chuangtao Ma; Yongrui Chen 002; Tianxing Wu 001; Arijit Khan 001; Haofen Wang (EDBT, 2025)

DST: Continual event prediction by decomposing and synergizing the task commonality and specificity. - Yuxin Zhang; Songlin Zhai; Yongrui Chen 002; Shenyu Zhang; Sheng Bi; Yuan Meng; Guilin Qi (Inf. Process. Manag., 2025)

Question answering over spatio-temporal knowledge graph. - Xinbang Dai; Huiying Li 003; Nan Hu; Yongrui Chen 002; Rihui Jin; Huikang Hu; Guilin Qi (Knowl. Based Syst., 2025)

Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge Graphs. - Yu Li 021; Yi Huang; Guilin Qi; Junlan Feng; Nan Hu; Songlin Zhai; Haohan Xue; Yongrui Chen 002; Ruoyan Shen; Tongtong Wu (CoRR, 2025)

Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured Knowledge. - Yongrui Chen 002; Junhao He; Linbo Fu; Shenyu Zhang; Rihui Jin; Xinbang Dai; Jiaqi Li; Dehai Min; Nan Hu; Yuxin Zhang; Guilin Qi; Yi Huang; et al. (CoRR, 2025)

After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG. - Xinbang Dai; Huikang Hu; Yuncheng Hua; Jiaqi Li; Yongrui Chen 002; Rihui Jin; Nan Hu; Guilin Qi (CoRR, 2025)

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. - Chuangtao Ma; Yongrui Chen 002; Tianxing Wu 001; Arijit Khan 001; Haofen Wang (CoRR, 2025)

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems. - Yuxin Zhang; Yan Wang; Yongrui Chen 002; Shenyu Zhang; Xinbang Dai; Sheng Bi; Guilin Qi (CoRR, 2025)

Table-r1: Self-supervised and Reinforcement Learning for Program-based Table Reasoning in Small Language Models. - Rihui Jin; Zheyu Xin; Xing Xie; Zuoyi Li; Guilin Qi; Yongrui Chen 002; Xinbang Dai; Tongtong Wu; Gholamreza Haffari (CoRR, 2025)

OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases. - Yongrui Chen 002; Zhiqiang Liu; Jing Yu; Lin Ren; Nan Hu; Xinbang Dai; Jiajun Liu; Jiazhen Kang; Shenyu Zhang; Xinda Wang 005; Keyan Ding; Pengfei Shen; et al. (CoRR, 2025)

IGen: Redefining long-term event prediction with iterative generation and dynamic balancing. - Yuxin Zhang; Yan Wang; Songlin Zhai; Yongrui Chen 002; Shenyu Zhang; Yuan Meng; Zhihua Chai; Sheng Bi; Guilin Qi (Inf. Process. Manag., 2026)