Shumin Deng

According to our database, Shumin Deng authored at least 83 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities.

Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, Ningyu Zhang

World Wide Web (WWW), September, 2024

Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.

Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2024

FlipAttack: Jailbreak LLMs via Flipping.

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi

CoRR, 2024

Knowledge Circuits in Pretrained Transformers.

Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen

CoRR, 2024

Decompose and Aggregate: A Step-by-Step Interpretable Evaluation Framework.

Minzhi Li, Zhengyuan Liu, Shumin Deng, Shafiq Joty, Nancy F. Chen, Min-Yen Kan

CoRR, 2024

Agent Planning with World Knowledge Model.

Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CoRR, 2024

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.

Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen

CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.

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, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

CoRR, 2024

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.

Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.

Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Hoon Wei Lim, Bryan Hooi

Proceedings of the 33rd USENIX Security Symposium, 2024

Overview of the NLPCC 2024 Shared Task 10: Regulating Large Language Models.

Chenxi Wang, Ziwen Xu, Mengru Wang, Xiang Chen, Shumin Deng, Ningyu Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Knowledge Mechanisms in Large Language Models: A Survey and Perspective.

Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Editing Conceptual Knowledge for Large Language Models.

Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View.

Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Detoxifying Large Language Models via Knowledge Editing.

Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

When Do Program-of-Thought Works for Reasoning?

Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.

Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Towards A Unified View of Answer Calibration for Multi-Step Reasoning.

Shumin Deng, Ningyu Zhang, Nay Oo, Bryan Hooi

CoRR, 2023

When Do Program-of-Thoughts Work for Reasoning?

Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen

CoRR, 2023

Continual Multimodal Knowledge Graph Construction.

Xiang Chen, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Shumin Deng, Yongheng Wang, Luo Si, Huajun Chen, Ningyu Zhang

CoRR, 2023

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction.

Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multimodal Analogical Reasoning over Knowledge Graphs.

Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph.

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

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal.

Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, Luxin Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Editing Large Language Models: Problems, Methods, and Opportunities.

Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reasoning with Language Model Prompting: A Survey.

Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres.

Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Low-resource extraction with knowledge-aware pairwise prototype learning.

Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen

Knowl. Based Syst., 2022

Robust triple extraction with cascade bidirectional capsule network.

Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen

Expert Syst. Appl., 2022

Schema-aware Reference as Prompt Improves Data-Efficient Relational Triple and Event Extraction.

Yunzhi Yao, Shengyu Mao, Xiang Chen, Ningyu Zhang, Shumin Deng, Huajun Chen

CoRR, 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

CoRR, 2022

Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective.

Shumin Deng, Ningyu Zhang, Hui Chen, Feiyu Xiong, Jeff Z. Pan, Huajun Chen

CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.

Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen

CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.

Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer.

Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.

Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.

Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.

Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.

Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

OntoProtein: Protein Pretraining With Gene Ontology Embedding.

Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.

Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract).

Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Molecular Contrastive Learning with Chemical Element Knowledge Graph.

Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge graph embeddings for dealing with concept drift in machine learning.

Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Shumin Deng, Huajun Chen

J. Web Semant., 2021

Contrastive Information Extraction With Generative Transformer.

Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Ask for Data-Efficient Event Argument Extraction.

Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen

CoRR, 2021

Text-guided Legal Knowledge Graph Reasoning.

Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou, Ningyu Zhang, Huajun Chen

CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.

Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen

CoRR, 2021

ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning.

Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.

Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules.

Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.

Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining.

Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Document-level Relation Extraction as Semantic Segmentation.

Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Disentangled Contrastive Learning for Learning Robust Textual Representations.

Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang, Huajun Chen

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

On Robustness and Bias Analysis of BERT-Based Relation Extraction.

Luoqiu Li, Xiang Chen, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang, Huajun Chen

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Text-Guided Legal Knowledge Graph Reasoning.

Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

MLBiNet: A Cross-Sentence Collective Event Detection Network.

Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

OntoED: Low-resource Event Detection with Ontology Embedding.

Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Triple Extraction with Generative Transformer.

Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis.

Haiyang Yu, Ningyu Zhang, Shumin Deng, Zonggang Yuan, Yantao Jia, Huajun Chen

CoRR, 2020

Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction.

Ningyu Zhang, Luoqiu Li, Shumin Deng, Haiyang Yu, Xu Cheng, Wei Zhang, Huajun Chen

CoRR, 2020

Relation Adversarial Network for Low Resource Knowledge Graph Completion.

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection.

Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Joint Extraction of Triple Knowledge Based on Relation Priority.

Chuanzhi Zhuang, Ningyu Zhang, Xiaolong Jin, Zhong Li, Shumin Deng, Huajun Chen

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention.

Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

OpenUE: An Open Toolkit of Universal Extraction from Text.

Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction.

Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation.

Bo Wen, Shumin Deng, Huajun Chen

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract).

Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Relation Adversarial Network for Low Resource KnowledgeGraph Completion.

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen

CoRR, 2019

Improving Few-shot Text Classification via Pretrained Language Representations.

Ningyu Zhang, Zhanlin Sun, Shumin Deng, Jiaoyan Chen, Huajun Chen

CoRR, 2019

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning.

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen

CoRR, 2019

Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network.

Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks.

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce.

Wen Zhang, Shumin Deng, Han Wang, Qiang Chen, Wei Zhang, Huajun Chen

Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

2018

Structured Knowledge Base as Prior Knowledge to Improve Urban Data Analysis.

Ningyu Zhang, Shumin Deng, Huajun Chen, Xi Chen, Jiaoyan Chen, Xiaoqian Li, Yiyi Zhang

ISPRS Int. J. Geo Inf., 2018

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction.

Ningyu Zhang, Shumin Deng, Zhanlin Sun, Xi Chen, Wei Zhang, Huajun Chen

CoRR, 2018

Attention-Based Capsule Network with Dynamic Routing for Relation Extraction.

Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang, Huajun Chen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep Learning for Knowledge-Driven Ontology Stream Prediction.

Shumin Deng, Jeff Z. Pan, Jiaoyan Chen, Huajun Chen

Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018

2017

CrowdGeoKG: Crowdsourced Geo-Knowledge Graph.

Jiaoyan Chen, Shumin Deng, Huajun Chen

Proceedings of the Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 2017