Publications

(*: Equal Contribution;   #: Corresponding Author)

      2024

• Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View [PAPER]
  ArXiv, 2024; ICLR 2024 Workshop on LLM Agents.
  Jintian Zhang, Xin Xu, Ningyu Zhang#, Ruibo Liu, Bryan Hooi, Shumin Deng#. (Corresponding Author)
• Towards A Unified View of Answer Calibration for Multi-Step Reasoning [PAPER]
  ArXiv, 2024.
  Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi.
• Information Extraction in Low-Resource Scenarios: Survey and Perspective [PAPER]
  ArXiv, 2024.
  Shumin Deng, Yubo Ma, Ningyu Zhang, Yixin Cao, Bryan Hooi.
• LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities [PAPER]
  ArXiv, 2024.
  Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang.
• KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection [PAPER]
  ArXiv, 2024.
  Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Bryan Hooi, Hoon Wei Lim.
• A Comprehensive Study of Knowledge Editing for Large Language Models [PAPER]
  ArXiv, 2024.
  Ningyu Zhang*, Yunzhi Yao*, Bozhong Tian*, Peng Wang*, Shumin Deng*, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jiachen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen.
• KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents [PAPER]
  ArXiv, 2024.
  Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen.
• Editing Conceptual Knowledge for Large Language Models [PAPER]
  ArXiv, 2024.
  Xiaohan Wang, Shengyu Mao, Ningyu Zhang, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen.
• Detoxifying Large Language Models via Knowledge Editing [PAPER]
  ArXiv, 2024.
  Mengru Wang, Ziwen Xu, Ningyu Zhang, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Xing Xie, Huajun Chen.
• When Do Program-of-Thoughts Work for Reasoning? [PAPER]
  AAAI 2024.
  Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen.
• Sequence Labeling as Non-autoregressive Dual-Query Set Generation [PAPER]
  TASLP, ACM/IEEE Transactions on Audio, Speech and Language Processing, 2024.
  Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen.

      2023

• SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres [PAPER]
  ACL 2023.
  Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi.
• LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training [PAPER]
  TASLP, ACM/IEEE Transactions on Audio, Speech and Language Processing, 2023.
  Shumin Deng, Ningyu Zhang, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen.
• Construction and Applications of Billion-Scale Pre-trained Multimodal Business Knowledge Graph [PAPER]
  ICDE 2023.
  Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen.
• Editing Large Language Models: Problems, Methods, and Opportunities [PAPER]
  EMNLP 2023.
  Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang.
• Reasoning with Language Model Prompting: A Survey [PAPER]
  ACL 2023.
  Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen.
• Multimodal Analogical Reasoning Over Knowledge Graphs [PAPER]
  ICLR 2023.
  Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen.
• Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction [PAPER]
  SIGIR 2023.
  Yunzhi Yao, Shengyu Mao, Xiang Chen, Shumin Deng, Ningyu Zhang, Xi Chen, Huajun Chen.

      2022

• Low-resource Extraction with Knowledge-aware Pairwise Prototype Learning [PAPER]
  KBS, Knowledge-Based Systems, 2022.
  Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen.
• LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting [PAPER]
  COLING, 2022.
  Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang.
• Ontology-enhanced Prompt-tuning for Few-shot Learning [PAPER]
  WWW, 2022.
  Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen. (2nd student author)
• KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction [PAPER]
  WWW, 2022.
  Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen.
• Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion [PAPER]
  SIGIR, 2022.
  Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen.
• Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning [PAPER]
  NeurIPS, 2022.
  Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen.
• Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners [PAPER]
  ICLR, 2022.
  Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen.
• OntoProtein: Protein Pretraining With Gene Ontology Embedding [PAPER]
  ICLR, 2022.
  Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen.
• Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction [PAPER]
  NAACL, 2022.
  Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen.
• DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population [PAPER]
  EMNLP (Demo), 2022.
  Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Peng Wang, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Qiang Chen, Feiyu Xiong, Fei Huang, Guozhou Zheng, Huajun Chen.
• From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer [PAPER]
  WWW@Poster, 2022.
  Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen.
• Molecular Contrastive Learning with Chemical Element Knowledge Graph [PAPER]
  AAAI, 2022.
  Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen.
• Learning to Ask for Data-Efficient Event Argument Extraction [PAPER]
  AAAI Student Abstract, 2022.
  Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen.
• 基于知识协同微调的低资源知识图谱补全方法 [PAPER]
  软件学报, 2022.
  张宁豫, 谢辛, 陈想, 邓淑敏, 叶宏彬, 陈华钧.
• OpenConcepts: 一个开放的细粒度中文概念知识图谱 [PAPER]
  中文信息学报, 2022.
  叶宏彬, 张宁豫, 邓淑敏, 毕祯, 陈想, 陈华钧.

      2021

• OntoED: Low-resource Event Detection with Ontology Embedding [PAPER]
  ACL, 2021.
  Shumin Deng, Ningyu Zhang, Luoqiu Li, Chen Hui, Tou Huaixiao, Mosha Chen, Fei Huang, Huajun Chen.
• MLBiNet: A Cross-Sentence Collective Event Detection Network [PAPER]
  ACL, 2021.
  Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen. (1st student author)
• Neural Symbolic Reasoning with Knowledge Graphs: Knowledge Extraction, Relational Reasoning and Inconsistency Checking [PAPER]
  NSFC Fundamental Research, 2021.
  Huajun Chen, Shumin Deng, Wen Zhang, Zezhong Xu, Juan Li, Evgeny Kharlamov. (1st student author)
• AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba [PAPER]
  KDD, 2021.
  Ningyu Zhang*, Qianghuai Jia*, Shumin Deng*, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen. (1st student author)
• Robust Triple Extraction with Cascade Bidirectional Capsule Network [PAPER]
  ESWA, Expert Systems with Applications, 2021.
  Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen. (1st student author)
• Contrastive Information Extraction with Generative Transformer [PAPER]
  TASLP, ACM/IEEE Transactions on Audio, Speech and Language Processing, 2021.
  Ningyu Zhang*, Hongbin Ye*, Shumin Deng*, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen. (2nd student author)
• Knowledge Graph Embeddings for Dealing with Concept Drift in Machine Learning [PAPER]
  JWS, Journal of Web Semantics, 2021.
  Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Shumin Deng, Huajun Chen. (1st student author)
• Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning [PAPER]
  ACL, Workshop on SemEval-2021 Task 4, 2021.
  Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen.
• Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining [PAPER]
  IJCAI, 2021.
  Ningyu Zhang*, Shumin Deng*, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen. (1st student author)
• Document-level Relation Extraction as Semantic Segmentation [PAPER]
  IJCAI, 2021.
  Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen.
• Contrastive Triple Extraction with Generative Transformer [PAPER]
  AAAI, 2021.
  Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen. (2nd student author)
• Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules [PAPER]
  IJCKG, 2021.
  Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen. (1st student author)
• Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction [PAPER]
  IJCKG, 2021. (IJCKG 2021 Best Short Paper Nomination)
  Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen.
• Text-Guided Legal Knowledge Graph Reasoning [PAPER]
  Communications in Computer and Information Science, 2021.
  Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng#, Hui Chen, Huaixiao Tou. (Corresponding author)
• On Robustness and Bias Analysis of BERT-Based Relation Extraction [PAPER]
  Communications in Computer and Information Science, 2021. (CCKS 2021 Best Paper Award)
  Luoqiu Li, Xiang Chen, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang, Huajun Chen.
• Disentangled Contrastive Learning for Learning Robust Textual Representations [PAPER]
  CICAI, 2021.
  Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang, Huajun Chen.

      2020

• Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection [PAPER]
  WSDM, 2020.
  Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen.
• Relation Adversarial Network for Low Resource Knowledge Graph Completion [PAPER]
  WWW, 2020.
  Ningyu Zhang*, Shumin Deng*, Zhanlin Sun, Jiaoayan Chen, Wei Zhang, Huajun Chen. (1st student author)
• When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining Then Meta-Learning for Few-Shot Text Classification [PAPER]
  AAAI Student Abstract, 2020.
  Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen.
• OpenUE: An Open Toolkit of Universal Extraction from Text [PAPER]
  EMNLP (Demo), 2020.
  Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen. (1st student author)
• Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction [PAPER]
  COLING, 2020.
  Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen. (2nd student author)
• Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention [PAPER]
  EMNLP, 2020.
  Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen. (1st student author)
• Joint Extraction of Triple Knowledge Based on Relation Priority [PAPER]
  ISPA, IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2020.
  Chuanzhi Zhuang, Ningyu Zhang, Xiaolong Jin, Zhong Li, Shumin Deng, Huajun Chen.
• Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation [PAPER]
  Communications in Computer and Information Science, 2020.
  Bo Wen, Shumin Deng, Huajun Chen.

      2019 and Before

• Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolution Network [PAPER]
  WWW 2019, Knowledge Graph Technology and Applications (KGTA) Workshop.
  Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen.
• Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks [PAPER]
  NAACL, 2019.
  Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, Huajun Chen.
• XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce [PAPER]
  JIST, 2019.
  Wen Zhang, Shumin Deng, Han Wang, Qiang Chen, Wei Zhang, Huajun Chen.
• Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction [PAPER]
  EMNLP, 2018.
  Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, Huajun Chen.
• Structured Knowledge Base as Prior Knowledge to Improve Urban Data Analysis [PAPER]
  ISPRS, International Journal of Geo-Information, 2018.
  Ningyu Zhang, Shumin Deng, Huajun Chen, Xi Chen, Jiaoyan Chen, Xiaoqian Li, Yiyi Zhang.
• Location Based Link Prediction for Knowledge Graph [PAPER]
  Journal of Chinese Information Processing, 2018.
  Ningyu Zhang, Xi Chen, Jiaoyan Chen, Shumin Deng, Wei Ruan, Chunming Wu, Huajun Chen.
• Deep Learning for Knowledge-Driven Ontology Stream Prediction [PAPER]
  Communications in Computer and Information Science, 2018.
  Shumin Deng, Jeff Z. Pan, Jiaoyan Chen, Huajun Chen.
• CrowdGeoKG: Crowdsourced Geo-Knowledge Graph [PAPER]
  Communications in Computer and Information Science, 2017.
  Jiaoyan Chen, Shumin Deng, Huajun Chen.