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Cong Cao 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Cyber Security, Beijing, China
Other persons with the same name
- Cong Cao — disambiguation page
- Cong Cao 0002 — Zhejiang University of Technology, School of Management, Hangzhou, China (and 1 more)
- Cong Cao 0003 — Central South University, School of Mathematics and Statistics, Changsha, Hunan, China
- Cong Cao 0004 — Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, China
- Cong Cao 0005 — Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
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2020 – today
- 2024
- [c31]Yangyan Xu, Cong Cao, Fangfang Yuan, Rongxin Mi, Dakui Wang, Yanbing Liu, Majing Su:
Data-Efficient Knowledge Distillation with Teacher Assistant-Based Dynamic Objective Alignment. ICCS (1) 2024: 181-195 - [c30]Yi Gao, Fangfang Yuan, Jinglin Yang, Dakui Wang, Cong Cao, Yanbing Liu:
Semi-supervised Malicious Domain Detection Based on Meta Pseudo Labeling. ICCS (2) 2024: 312-324 - [i1]Diandian Guo, Cong Cao, Fangfang Yuan, Dakui Wang, Wei Ma, Yanbing Liu, Jianhui Fu:
Can Multimodal Large Language Model Think Analogically? CoRR abs/2411.01307 (2024) - 2023
- [c29]Qingyue Wang, Yanan Cao, Piji Li, Yanhe Fu, Zheng Lin, Cong Cao, Shi Wang, Li Guo:
Confident Slot Iterative Learning for Multi-Domain Dialogue State Tracking. CogSci 2023 - [c28]Baoke Li, Cong Cao, Fangfang Yuan, Yuling Yang, Majing Su, Yanbing Liu, Jianhui Fu:
NPGraph: An Efficient Graph Computing Model in NUMA-Based Persistent Memory Systems. CollaborateCom (2) 2023: 205-222 - [c27]Yangyan Xu, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Majing Su, Dakui Wang, Yanbing Liu:
MetaBERT: Collaborative Meta-Learning for Accelerating BERT Inference. CSCWD 2023: 119-124 - [c26]Yi Gao, Fangfang Yuan, Cong Cao, Majing Su, Dakui Wang, Yanbing Liu:
Few-shot Malicious Domain Detection on Heterogeneous Graph with Meta-learning. CSCWD 2023: 727-732 - [c25]Diandian Guo, Majing Su, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Yanbing Liu, Jianhui Fu:
Curvature-Driven Knowledge Graph Embedding for Link Prediction. CSCWD 2023: 1226-1231 - [c24]Yu Fu, Cong Cao, Yuling Yang, Yuhai Lu, Fangfang Yuan, Dakui Wang, Yanbing Liu:
Mulan: A Multi-Level Alignment Model for Video Question Answering. EMNLP (Findings) 2023: 5475-5489 - [c23]Zhiping Li, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu:
Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning. ICANN (3) 2023: 62-73 - [c22]Zhiping Li, Fangfang Yuan, Cong Cao, Dakui Wang, Jiali Feng, Baoke Li, Yanbing Liu:
Self-supervised Deep Heterogeneous Graph Neural Networks with Contrastive Learning. ICCS (1) 2023: 268-282 - [c21]Yangyan Xu, Fangfang Yuan, Cong Cao, Majing Su, Yuhai Lu, Yanbing Liu:
A Contrastive Self-distillation BERT with Kernel Alignment-Based Inference. ICCS (1) 2023: 553-565 - [c20]Yuling Yang, Jiali Feng, Baoke Li, Fangfang Yuan, Cong Cao, Yanbing Liu:
EDDVPL: A Web Attribute Extraction Method with Prompt Learning. ICONIP (14) 2023: 474-484 - [c19]Yuhai Lu, Xiaolin Wang, Fangfang Yuan, Cong Cao, Xiaoliang Zhang, Yanbing Liu:
RegexClassifier: A GNN-Based Recognition Method for State-Explosive Regular Expressions. ISCC 2023: 1039-1045 - [c18]Yanhe Fu, Yi Liu, Yanan Cao, Yubing Ren, Qingyue Wang, Fang Fang, Cong Cao:
A Multi-granularity Similarity Enhanced Model for Implicit Event Argument Extraction. NLPCC (2) 2023: 98-110 - [c17]Yi Gao, Zhiping Li, Fangfang Yuan, Xiaoliang Zhang, Dakui Wang, Cong Cao, Yanbing Liu:
Robust Malicious Domain Detection Against Adversarial Attacks on Heterogeneous Graph. SMC 2023: 2028-2033 - 2022
- [c16]Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan:
Heterogeneous Graph Attention Network for Malicious Domain Detection. ICANN (2) 2022: 506-518 - [c15]Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan:
DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. ICONIP (1) 2022: 468-479 - [c14]Baoke Li, Cong Cao, Fangfang Yuan, Yanbing Liu, Baohui Li, Binxing Fang:
EPGraph: An Efficient Graph Computing Model in Persistent Memory System. ISPA/BDCloud/SocialCom/SustainCom 2022: 9-17 - [c13]Cheng Hu, Fangfang Yuan, Yanbing Liu, Cong Cao, Chunyan Zhang, Jianlong Tan:
Malicious Domain Detection with Heterogeneous Graph Propagation Network. WASA (1) 2022: 545-556 - 2021
- [c12]Yuhai Lu, Chunyan Zhang, Cong Cao, Yanbing Liu, Jianlong Tan:
BV-CEI: A Compact Implementation of Interval Query Indexing Algorithm. BigDataSE 2021: 80-86 - [c11]Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma:
Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. ICCS (2) 2021: 257-270 - [c10]Baoke Li, Cong Cao, Yuhai Lu, Yanbing Liu, Baohui Li, Binxing Fang, Jianhui Fu:
D2Graph: An Efficient and Unified Out-of-Core Graph Computing Model. ISPA/BDCloud/SocialCom/SustainCom 2021: 193-201 - [c9]Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu:
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. KSEM 2021: 101-114 - 2020
- [c8]Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang:
Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. EMNLP (1) 2020: 3622-3631 - [c7]Jie Xie, Yuhai Lu, Cong Cao, Zhenzhen Li, Yangyang Guan, Yanbing Liu:
Joint Entity Linking for Web Tables with Hybrid Semantic Matching. ICCS (2) 2020: 618-631
2010 – 2019
- 2018
- [c6]Wenpeng Liu, Yanan Cao, Cong Cao, Yanbing Liu, Yue Hu, Li Guo:
An Adversarial Training Framework for Relation Classification. ICCS (2) 2018: 194-205 - [c5]Jie Xie, Cong Cao, Yanbing Liu, Yanan Cao, Baoke Li, Jianlong Tan:
Column Concept Determination for Chinese Web Tables via Convolutional Neural Network. ICCS (3) 2018: 533-544 - 2017
- [c4]Yanan Cao, Shi Wang, Xiaoxue Li, Cong Cao, Yanbing Liu, Jianlong Tan:
Inferring Social Network User's Interest Based on Convolutional Neural Network. ICONIP (5) 2017: 657-666 - 2015
- [c3]Liangjun Zang, Weimin Wang, Ya Wang, Fang Fang, Cong Cao, Xiaolong Wu, Qi Zhou, Ye Lu, Tingyu Li, Cungen Cao:
A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction. KSEM 2015: 275-286 - 2013
- [j2]Liangjun Zang, Cong Cao, Yanan Cao, Yuming Wu, Cungen Cao:
A Survey of Commonsense Knowledge Acquisition. J. Comput. Sci. Technol. 28(4): 689-719 (2013) - 2012
- [c2]Cong Cao, Weimin Wang, Cungen Cao, Liangjun Zang:
Mining Association Rules on Qing Court Medical Records: Semantic Abstraction and Standardization. CIT 2012: 442-447 - [c1]Liangjun Zang, Cong Cao, Cungen Cao:
Towards Collecting Commonsense Knowledge with Hint Questions. SKG 2012: 237-240 - 2011
- [j1]Weimin Wang, Jingchun Zhang, Cong Cao, Tao Hou, Yue Liu, Keji Chen:
An efficient approach to representing and mining knowledge from Qing court medical records. Frontiers Comput. Sci. China 5(4): 395-404 (2011)
Coauthor Index
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last updated on 2024-12-19 22:11 CET by the dblp team
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