| 2026 | ACL | QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs. | Taolin Zhang, Haidong Kang, Dongyang Li, Qizhou Chen, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | ACL | AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering. | Taolin Zhang, Dongyang Li, Chen Chen, Qizhou Chen, Jiuheng Wan, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2026 | ACL | Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution. | Taolin Zhang, Pukun Zhao, Qizhou Chen, Jiuheng Wan, Chen Chen, Xiaofeng He, Chengyu Wang, Richang Hong |
| 2025 | AAAI | Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit. | Qizhou Chen, Taolin Zhang, Chengyu Wang, Xiaofeng He, Dakan Wang, Tingting Liu |
| 2025 | ACL | BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering. | Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Xiaofeng He |
| 2025 | ACL | Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement. | Maosongcao, Taolin Zhang, Mo Li, Chuyu Zhang, Yunxin Liu, Conghui He, Haodong Duan, Songyang Zhang, Kai Chen |
| 2025 | CVPR | Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts. | Qizhou Chen, Chengyu Wang, Dakan Wang, Taolin Zhang, Wangyue Li, Xiaofeng He |
| 2025 | ICCV | FastVAR: Linear Visual Autoregressive Modeling Via Cached Token Pruning. | Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini |
| 2024 | AAAI | CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem. | Qian Chen, Taolin Zhang, Dongyang Li, Xiaofeng He |
| 2024 | AAAI | Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. | Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia |
| 2024 | ACL | On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. | Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang |
| 2024 | ACL | DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. | Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue', Jun Huang |
| 2024 | COLING | UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. | Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue |
| 2024 | COLING | KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. | Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue |
| 2024 | COLING | TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. | Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue |
| 2024 | ECAI | R | Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang |
| 2024 | ECCV | Multimodal Label Relevance Ranking via Reinforcement Learning. | Taian Guo, Taolin Zhang, Haoqian Wu, Hanjun Li, Ruizhi Qiao, Xing Sun |
| 2024 | ECCV | Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. | Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia |
| 2024 | EMNLP | Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. | Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue' |
| 2023 | EMNLP | From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models. | Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang |
| 2023 | EMNLP | Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. | Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian |
| 2023 | PAKDD | Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification. | Yanhu Li, Taolin Zhang, Dongyang Li, Xiaofeng He |
| 2022 | AAAI | DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding. | Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang |
| 2022 | ACL | HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction. | Dongyang Li, Taolin Zhang, Nan Hu, Chengyu Wang, Xiaofeng He |
| 2022 | EMNLP | EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. | Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin |
| 2022 | EMNLP | Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. | Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He |
| 2021 | ACL | SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. | Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He |
| 2021 | ACL | Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. | Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang |
| 2021 | APWEB | EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining. | Zerui Cai, Taolin Zhang, Chengyu Wang, Xiaofeng He |
| 2021 | CIKM | HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. | Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang |
| 2021 | PAKDD | SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction. | Shuangji Yang, Taolin Zhang, Danning Su, Nan Hu, Wei Nong, Xiaofeng He |