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2020 – today
- 2022
[j50]Ningyu Zhang
, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen:
Robust triple extraction with cascade bidirectional capsule network. Expert Syst. Appl. 187: 115806 (2022)- [j49]Lina Yuan, Huajun Chen, Jing Gong:
Interactive communication with clustering collaboration for wireless powered communication networks. Int. J. Distributed Sens. Networks 18(2): 155014772110699 (2022) - [j48]Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen:
Low-resource extraction with knowledge-aware pairwise prototype learning. Knowl. Based Syst. 235: 107584 (2022) - [c153]Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen:
Deep Reinforcement Learning for Entity Alignment. ACL (Findings) 2022: 2754-2765 - [c152]Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen:
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning. WSDM 2022: 1516-1524 - [c151]Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen:
Ontology-enhanced Prompt-tuning for Few-shot Learning. WWW 2022: 778-787 - [c150]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. WWW 2022: 2778-2788 - [i76]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:
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. CoRR abs/2201.03335 (2022) - [i75]Ningyu Zhang, Xin Xie, Xiang Chen, Shumin Deng, Chuanqi Tan, Fei Huang, Xu Cheng, Huajun Chen:
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings. CoRR abs/2201.05575 (2022) - [i74]Yunzhi Yao, Shaohan Huang, Ningyu Zhang, Li Dong, Furu Wei, Huajun Chen:
Kformer: Knowledge Injection in Transformer Feed-Forward Layers. CoRR abs/2201.05742 (2022) - [i73]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Jiazhang Lian, Qiang Zhang, Huajun Chen:
OntoProtein: Protein Pretraining With Gene Ontology Embedding. CoRR abs/2201.11147 (2022) - [i72]Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen:
Ontology-enhanced Prompt-tuning for Few-shot Learning. CoRR abs/2201.11332 (2022) - [i71]Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen:
From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. CoRR abs/2202.02113 (2022) - [i70]Qiang Zhang, Zeyuan Wang, Yuqiang Han, Haoran Yu, Xurui Jin, Huajun Chen:
Prompt-Guided Injection of Conformation to Pre-trained Protein Model. CoRR abs/2202.02944 (2022) - [i69]Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z. Pan, Huajun Chen:
Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective. CoRR abs/2202.07412 (2022) - [i68]Shumin Deng, Ningyu Zhang, Hui Chen, Feiyu Xiong, Jeff Z. Pan, Huajun Chen:
Knowledge Extraction in Low-Resource Scenarios: Survey and Perspective. CoRR abs/2202.08063 (2022) - [i67]Lingbing Guo, Qiang Zhang, Huajun Chen:
Unleashing the Power of Transformer for Graphs. CoRR abs/2202.10581 (2022) - [i66]Yin Fang, Qiang Zhang, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer. CoRR abs/2202.10587 (2022) - [i65]Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong, Huajun Chen:
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. CoRR abs/2202.12571 (2022) - [i64]Wen Zhang, Chi-Man Wong, Ganqiang Ye, Bo Wen, Hongting Zhou, Wei Zhang, Huajun Chen:
PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application. CoRR abs/2203.00964 (2022) - [i63]Lingbing Guo, Yuqiang Han, Qiang Zhang, Huajun Chen:
Deep Reinforcement Learning for Entity Alignment. CoRR abs/2203.03315 (2022) - [i62]Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Demonstration Tuning for Pre-trained Language Models. CoRR abs/2204.04392 (2022) - [i61]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. CoRR abs/2205.02355 (2022) - [i60]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. CoRR abs/2205.02357 (2022) - [i59]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. CoRR abs/2205.03521 (2022) - [i58]Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen:
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting. CoRR abs/2205.04692 (2022) - [i57]Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Zezhong Xu, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen:
Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce. CoRR abs/2205.10843 (2022) - [i56]Zhen Bi, Siyuan Cheng, Ningyu Zhang, Xiaozhuan Liang, Feiyu Xiong, Huajun Chen:
Relphormer: Relational Graph Transformer for Knowledge Graph Representation. CoRR abs/2205.10852 (2022) - [i55]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. CoRR abs/2205.14704 (2022) - [i54]Yuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen:
Disentangled Ontology Embedding for Zero-shot Learning. CoRR abs/2206.03739 (2022) - 2021
- [j47]Huajun Chen, Ning Hu, Guilin Qi, Haofen Wang, Zhen Bi, Jie Li, Fan Yang:
OpenKG Chain: A Blockchain Infrastructure for Open Knowledge Graphs. Data Intell. 3(2): 205-227 (2021) - [j46]Lina Yuan, Huajun Chen, Jing Gong:
Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises. Int. J. Distributed Sens. Networks 17(6): 155014772110248 (2021) - [j45]Yuxia Geng, Jiaoyan Chen, Zhiquan Ye, Zonggang Yuan, Wei Zhang, Huajun Chen:
Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs. Semantic Web 12(5): 741-765 (2021) - [j44]Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Information Extraction With Generative Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3077-3088 (2021) - [j43]Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Shumin Deng, Huajun Chen:
Knowledge graph embeddings for dealing with concept drift in machine learning. J. Web Semant. 67: 100625 (2021) - [c149]Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen:
Contrastive Triple Extraction with Generative Transformer. AAAI 2021: 14257-14265 - [c148]Shumin Deng, Ningyu Zhang, Luoqiu Li, Chen Hui, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen:
OntoED: Low-resource Event Detection with Ontology Embedding. ACL/IJCNLP (1) 2021: 2828-2839 - [c147]Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen:
MLBiNet: A Cross-Sentence Collective Event Detection Network. ACL/IJCNLP (1) 2021: 4829-4839 - [c146]Luoqiu Li, Xiang Chen, Hongbin Ye, Zhen Bi, Shumin Deng, Ningyu Zhang, Huajun Chen:
On Robustness and Bias Analysis of BERT-Based Relation Extraction. CCKS 2021: 43-59 - [c145]Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang, Huajun Chen:
Disentangled Contrastive Learning for Learning Robust Textual Representations. CICAI (2) 2021: 215-226 - [c144]Wen Zhang, Chi Man Wong, Ganqiang Ye, Bo Wen, Wei Zhang, Huajun Chen:
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model. ICDE 2021: 2476-2487 - [c143]Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen:
Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph. ICDE 2021: 2607-2612 - [c142]Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. IJCAI 2021: 3999-4006 - [c141]Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen:
Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining. IJCAI 2021: 4007-4014 - [c140]Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen:
Knowledge-aware Zero-Shot Learning: Survey and Perspective. IJCAI 2021: 4366-4373 - [c139]Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen:
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules. IJCKG 2021: 71-79 - [c138]Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen:
FedE: Embedding Knowledge Graphs in Federated Setting. IJCKG 2021: 80-88 - [c137]Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. IJCKG 2021: 115-120 - [c136]Ganqiang Ye, Wen Zhang, Zhen Bi, Chi Man Wong, Chen Hui, Huajun Chen:
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training. IJCKG 2021: 151-155 - [c135]Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen:
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. KDD 2021: 3895-3905 - [c134]Yushan Zhu, Huaixiao Zhao, Wen Zhang, Ganqiang Ye, Hui Chen, Ningyu Zhang, Huajun Chen:
Knowledge Perceived Multi-modal Pretraining in E-commerce. ACM Multimedia 2021: 2744-2752 - [c133]Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen:
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 810-819 - [c132]Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z. Pan, Zonggang Yuan, Huajun Chen:
Zero-Shot Visual Question Answering Using Knowledge Graph. ISWC 2021: 146-162 - [c131]Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen:
OntoZSL: Ontology-enhanced Zero-shot Learning. WWW 2021: 3325-3336 - [e6]Huajun Chen, Kang Liu, Yizhou Sun, Suge Wang, Lei Hou:
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence - 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised Selected Papers. Communications in Computer and Information Science 1356, Springer 2021, ISBN 978-981-16-1963-2 [contents] - [i53]Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen:
OntoZSL: Ontology-enhanced Zero-shot Learning. CoRR abs/2102.07339 (2021) - [i52]Xin Xie, Xiangnan Chen, Xiang Chen, Yong Wang, Ningyu Zhang, Shumin Deng, Huajun Chen:
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning. CoRR abs/2102.12828 (2021) - [i51]Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen:
Knowledge-aware Zero-Shot Learning: Survey and Perspective. CoRR abs/2103.00070 (2021) - [i50]Yin Fang, Haihong Yang, Xiang Zhuang, Xin Shao, Xiaohui Fan, Huajun Chen:
Knowledge-aware Contrastive Molecular Graph Learning. CoRR abs/2103.13047 (2021) - [i49]Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. CoRR abs/2104.00312 (2021) - [i48]Luoqiu Li, Zhen Bi, Hongbin Ye, Shumin Deng, Hui Chen, Huaixiao Tou, Ningyu Zhang, Huajun Chen:
Text-guided Legal Knowledge Graph Reasoning. CoRR abs/2104.02284 (2021) - [i47]Xiang Chen, Xin Xie, Zhen Bi, Hongbin Ye, Shumin Deng, Ningyu Zhang, Huajun Chen:
Disentangled Contrastive Learning for Learning Robust Textual Representations. CoRR abs/2104.04907 (2021) - [i46]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. CoRR abs/2104.07650 (2021) - [i45]Zhen Bi, Ningyu Zhang, Ganqiang Ye, Haiyang Yu, Xi Chen, Huajun Chen:
Interventional Aspect-Based Sentiment Analysis. CoRR abs/2104.11681 (2021) - [i44]Chiman Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen:
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph. CoRR abs/2104.14899 (2021) - [i43]Wen Zhang, Chiman Wong, Ganqiang Ye, Bo Wen, Wei Zhang, Huajun Chen:
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model. CoRR abs/2105.00388 (2021) - [i42]Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen:
MLBiNet: A Cross-Sentence Collective Event Detection Network. CoRR abs/2105.09458 (2021) - [i41]Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen:
OntoED: Low-resource Event Detection with Ontology Embedding. CoRR abs/2105.10922 (2021) - [i40]Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen:
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. CoRR abs/2106.01686 (2021) - [i39]Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. CoRR abs/2106.03618 (2021) - [i38]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Xin Xie, 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:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i37]Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zonggang Yuan, Huajun Chen:
K-ZSL: Resources for Knowledge-driven Zero-shot Learning. CoRR abs/2106.15047 (2021) - [i36]Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z. Pan, Zonggang Yuan, Huajun Chen:
Zero-shot Visual Question Answering using Knowledge Graph. CoRR abs/2107.05348 (2021) - [i35]Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen:
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. CoRR abs/2108.13161 (2021) - [i34]Xiang Chen, Ningyu Zhang, Lei Li, Xin Xie, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER. CoRR abs/2109.00720 (2021) - [i33]Yushan Zhu, Huaixiao Tou, Wen Zhang, Ganqiang Ye, Hui Chen, Ningyu Zhang, Huajun Chen:
Knowledge Perceived Multi-modal Pretraining in E-commerce. CoRR abs/2109.00895 (2021) - [i32]Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction. CoRR abs/2110.00479 (2021) - [i31]Fang Wu, Qiang Zhang, Dragomir R. Radev, Jiyu Cui, Wen Zhang, Huabin Xing, Ningyu Zhang, Huajun Chen:
3D-Transformer: Molecular Representation with Transformer in 3D Space. CoRR abs/2110.01191 (2021) - [i30]Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen:
Principled Representation Learning for Entity Alignment. CoRR abs/2110.10871 (2021) - [i29]Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen:
Standing on the Shoulders of Predecessors: Meta-Knowledge Transfer for Knowledge Graphs. CoRR abs/2110.14170 (2021) - [i28]Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. CoRR abs/2112.00544 (2021) - [i27]Ningyu Zhang, Hongbin Ye, Jiacheng Yang, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training. CoRR abs/2112.01404 (2021) - [i26]Ganqiang Ye, Wen Zhang, Zhen Bi, Chi Man Wong, Chen Hui, Huajun Chen:
Improving Knowledge Graph Representation Learning by Structure Contextual Pre-training. CoRR abs/2112.04087 (2021) - [i25]Wen Zhang, Shumin Deng, Mingyang Chen, Liang Wang, Qiang Chen, Feiyu Xiong, Xiangwen Liu, Huajun Chen:
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules. CoRR abs/2112.08589 (2021) - [i24]Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks, Huajun Chen:
Low-resource Learning with Knowledge Graphs: A Comprehensive Survey. CoRR abs/2112.10006 (2021) - 2020
- [j42]Junli Gao, Huajun Chen, Xiaohua Zhang, Jing Guo, Wenyu Liang:
A New Feature Extraction and Recognition Method for Microexpression Based on Local Non-negative Matrix Factorization. Frontiers Neurorobotics 14: 579338 (2020) - [c130]Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen:
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract). AAAI 2020: 13773-13774 - [c129]Zhiquan Ye, Yuxia Geng, Jiaoyan Chen, Jingmin Chen, Xiaoxiao Xu, Suhang Zheng, Feng Wang, Jun Zhang, Huajun Chen:
Zero-shot Text Classification via Reinforced Self-training. ACL 2020: 3014-3024 - [c128]Bo Wen, Shumin Deng, Huajun Chen:
Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation. CCKS 2020: 322-333 - [c127]Juan Li, Ruoxu Wang, Ningyu Zhang, Wen Zhang, Fan Yang, Huajun Chen:
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification. COLING 2020: 2967-2978 - [c126]Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen:
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. COLING 2020: 6399-6410 - [c125]Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen:
OpenUE: An Open Toolkit of Universal Extraction from Text. EMNLP (Demos) 2020: 1-8 - [c124]Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen:
Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. EMNLP (Findings) 2020: 15-24 - [c123]Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen:
Neural Entity Summarization with Joint Encoding and Weak Supervision. IJCAI 2020: 1644-1650 - [c122]Chuanzhi Zhuang, Ningyu Zhang, Xiaolong Jin, Zhong Li, Shumin Deng, Huajun Chen:
Joint Extraction of Triple Knowledge Based on Relation Priority. ISPA/BDCloud/SocialCom/SustainCom 2020: 562-569 - [c121]Jiaoyan Chen, Freddy Lécué, Yuxia Geng, Jeff Z. Pan, Huajun Chen:
Ontology-guided Semantic Composition for Zero-shot Learning. KR 2020: 850-854 - [c120]Wenjun Wu, Huajun Chen:
Message from General Chairs of IEEE AISA 2020. SERVICES 2020: 1 - [c119]Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen:
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. WSDM 2020: 151-159 - [c118]Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen:
Relation Adversarial Network for Low Resource Knowledge Graph Completion. WWW 2020: 1-12 - [p1]Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Knowledge-Based Explanations for Transfer Learning. Knowledge Graphs for eXplainable Artificial Intelligence 2020: 180-195 - [i23]Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen:
Generative Adversarial Zero-shot Learning via Knowledge Graphs. CoRR abs/2004.03109 (2020) - [i22]Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen:
Neural Entity Summarization with Joint Encoding and Weak Supervision. CoRR abs/2005.00152 (2020) - [i21]Jiaoyan Chen, Freddy Lécué, Yuxia Geng, Jeff Z. Pan, Huajun Chen:
Ontology-guided Semantic Composition for Zero-Shot Learning. CoRR abs/2006.16917 (2020) - [i20]Yushan Zhu, Wen Zhang, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen:
DistilE: Distiling Knowledge Graph Embeddings for Faster and Cheaper Reasoning. CoRR abs/2009.05912 (2020) - [i19]Ningyu Zhang, Luoqiu Li, Shumin Deng, Haiyang Yu, Xu Cheng, Wei Zhang, Huajun Chen:
Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction. CoRR abs/2009.06206 (2020) - [i18]Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen:
Contrastive Triple Extraction with Generative Transformer. CoRR abs/2009.06207 (2020) - [i17]Haiyang Yu, Ningyu Zhang, Shumin Deng, Zonggang Yuan, Yantao Jia, Huajun Chen:
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis. CoRR abs/2009.07022 (2020) - [i16]Mingyang Chen, Wen Zhang, Zonggang Yuan, Yantao Jia, Huajun Chen:
FedE: Embedding Knowledge Graphs in Federated Setting. CoRR abs/2010.12882 (2020) - [i15]Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen:
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. CoRR abs/2010.16059 (2020) - [i14]Juan Li, Ruoxu Wang, Ningyu Zhang, Wen Zhang, Fan Yang, Huajun Chen:
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification. CoRR abs/2010.16068 (2020)
2010 – 2019
- 2019
- [c117]Juan Li, Wen Zhang, Huajun Chen:
Incorporating Domain and Range of Relations for Knowledge Graph Completion. CCKS 2019: 50-61 - [c116]Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen:
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs. EMNLP/IJCNLP (1) 2019: 4216-4225 - [c115]Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Augmenting Transfer Learning with Semantic Reasoning. IJCAI 2019: 1779-1785 - [c114]Wen Zhang, Shumin Deng, Han Wang, Qiang Chen, Wei Zhang, Huajun Chen:
XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce. JIST (2) 2019: 78-87 - [c113]Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen:
Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. NAACL-HLT (1) 2019: 3016-3025 - [c112]Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen:
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. WSDM 2019: 96-104 - [c111]Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen:
Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network. WWW (Companion Volume) 2019: 678-685 - [c110]Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen:
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. WWW 2019: 2366-2377 - [i13]