Artykuły udostępnione publicznie: - Denghui ZhangWięcej informacji
Niedostępne w żadnym miejscu: 2
Link prediction in knowledge graphs: A hierarchy-constrained approach
M Li, Y Wang, D Zhang, Y Jia, X Cheng
IEEE Transactions on Big Data 8 (3), 630-643, 2018
Upoważnienia: National Natural Science Foundation of China
Lever: Online adaptive sequence learning framework for high-frequency trading
Z Yuan, J Liu, H Zhou, D Zhang, H Liu, N Zhu, H Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (11), 6547-6559, 2023
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 12
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
D Zhang, J Liu, H Zhu, Y Liu, L Wang, P Wang, H Xiong
CIKM19 - Proceedings of the 28th ACM International Conference on Information …, 2019
Upoważnienia: National Natural Science Foundation of China
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
D Zhang, Z Yuan, H Liu, X Lin, H Xiong
AAAI 2022, 2021
Upoważnienia: US National Science Foundation
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching
HX Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu
International ACM SIGIR Conference on Research and Development in …, 2020
Upoważnienia: US National Science Foundation
Domain-oriented language modeling with adaptive hybrid masking and optimal transport alignment
D Zhang, Z Yuan, Y Liu, H Liu, F Zhuang, H Xiong, H Chen
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Upoważnienia: US National Science Foundation
Towards learning disentangled representations for time series
Y Li, Z Chen, D Zha, M Du, J Ni, D Zhang, H Chen, X Hu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Upoważnienia: US National Science Foundation
Efficient Parallel Translating Embedding For Knowledge Graphs
D Zhang, M Li, Y Jia, Y Wang, X Cheng
Web Intelligence 2017, 460-468, 2017
Upoważnienia: Chinese Academy of Sciences, National Natural Science Foundation of China
Human-instructed deep hierarchical generative learning for automated urban planning
D Wang, L Wu, D Zhang, J Zhou, L Sun, Y Fu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4660-4667, 2023
Upoważnienia: US National Science Foundation
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
Z Qiao, Y Fu, P Wang, M Xiao, Z Ning, D Zhang, Y Du, Y Zhou
IEEE Transactions on Big Data, 2022
Upoważnienia: Chinese Academy of Sciences, National Natural Science Foundation of China
Self-supervised prototype representation learning for event-based corporate profiling
Z Yuan, H Liu, R Hu, D Zhang, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4644-4652, 2021
Upoważnienia: National Natural Science Foundation of China
Multi-faceted knowledge-driven pre-training for product representation learning
D Zhang, Y Liu, Z Yuan, Y Fu, H Chen, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (7), 7239-7250, 2022
Upoważnienia: US National Science Foundation
Path-Based Attention Neural Model for Fine-Grained Entity Typing
D Zhang, M Li, P Cai, Y Jia, Y Wang, X Cheng
AAAI, 2017
Upoważnienia: National Natural Science Foundation of China
Self-paced unified representation learning for hierarchical multi-label classification
Z Yuan, H Liu, H Zhou, D Zhang, X Zhang, H Wang, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16623 …, 2024
Upoważnienia: National Natural Science Foundation of China
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