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Qingchao Kong
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2020 – today
- 2024
- [j6]Hanxuan Yang
, Qingchao Kong
Efficient Spiking Variational Graph Autoencoders for Unsupervised Graph Representation Learning Tasks. IEEE Intell. Syst. 39(5): 37-46 (2024) - [j5]Hanxuan Yang
A deep latent space model for interpretable representation learning on directed graphs. Neurocomputing 576: 127342 (2024) - [j4]Shuai Wang, Penghui Wei
A knowledge enhanced learning and semantic composition model for multi-claim fact checking. Knowl. Based Syst. 304: 112439 (2024) - [c22]Yao Dong, Qingchao Kong, Lei Wang, Yin Luo:
Dual Complex Number Knowledge Graph Embeddings. LREC/COLING 2024: 5391-5400 - [c21]Hanyi Zou, Huifang Xu, Qingchao Kong, Yilin Cao, Wenji Mao:
Generating Relevant Article Comments via Variational Multi-Layer Fusion. IJCNN 2024: 1-8 - [i6]Hanxuan Yang, Zhaoxin Yu, Qingchao Kong, Wei Liu, Wenji Mao:
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification. CoRR abs/2403.17500 (2024) - 2023
- [c20]Wei Tang, Qingchao Kong, Yin Luo, Wenji Mao:
Neuro-Logic Learning for Relation Reasoning over Event Knowledge Graph. ISI 2023: 1-6 - [c19]Minzheng Wang, Jia Cao, Qingchao Kong, Yin Luo:
Boosting Domain-Specific Question Answering Through Weakly Supervised Self-Training. ISI 2023: 1-6 - [c18]Hanyi Zou, Nan Xu, Qingchao Kong, Wenji Mao:
Controllable News Comment Generation based on Attribute Level Contrastive Learning. ISI 2023: 1-6 - [i5]Hanxuan Yang, Qingchao Kong, Wenji Mao:
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning. CoRR abs/2312.05519 (2023) - [i4]Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li
YAYI 2: Multilingual Open-Source Large Language Models. CoRR abs/2312.14862 (2023) - 2022
- [c17]Wei Tang, Qingchao Kong, Wenji Mao, Xiaofei Wu:
Contrastive Semantic Similarity Learning for Multi-Hop Question Answering over Event-Centric Knowledge Graphs. CCIS 2022: 360-364 - [i3]Hanxuan Yang, Ruike Zhang, Qingchao Kong, Wenji Mao:
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning. CoRR abs/2211.01952 (2022) - 2021
- [c16]Hongpeng Liu, Lai Wei, Qingchao Kong:
A Novel Switching Loss Analysis of Coupled-Inductor Impedance-Source Inverters. IECON 2021: 1-7 - [c15]Ying Sun, Qingchao Kong, Luwen Huangfu, Jin Pan:
Domain-oriented News Recommendation in Security Applications. ISI 2021: 1-6 - [c14]Hanxuan Yang, Qingchao Kong, Wenji Mao, Lei Wang:
Boosting Hidden Graph Node Classification for Large Social Networks. ISI 2021: 1-6 - [i2]Hanxuan Yang, Qingchao Kong, Wenji Mao:
A Deep Latent Space Model for Graph Representation Learning. CoRR abs/2106.11721 (2021) - 2020
- [j3]Qingchao Kong
Exploring Trends and Patterns of Popularity Stage Evolution in Social Media. IEEE Trans. Syst. Man Cybern. Syst. 50(10): 3817-3827 (2020) - [c13]Xinglin Xiao, Lei Wang, Qingchao Kong, Wenji Mao:
Social Emotion Cause Extraction from Online Texts. ISI 2020: 1-6 - [i1]Shuai Wang, Qingchao Kong, Yuqi Wang, Lei Wang:
Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures. CoRR abs/2008.12154 (2020)
2010 – 2019
- 2019
- [j2]Guandan Chen
NPP: A neural popularity prediction model for social media content. Neurocomputing 333: 221-230 (2019) - [j1]Junjie Lin, Qingchao Kong
A topic enhanced approach to detecting multiple standpoints in web texts. Inf. Sci. 501: 483-494 (2019) - [c12]Shuai Wang, Qingchao Kong, Yuqi Wang, Lei Wang:
Enhancing Rumor Detection in Social Media Using Dynamic Propagation Structures. ISI 2019: 41-46 - [c11]Jie Bai, Qingchao Kong, Linjing Li, Lei Wang, Daniel Zeng:
Exploring Cognitive Dissonance on Social Media. ISI 2019: 143-145 - 2018
- [c10]Guandan Chen, Wenji Mao, Qingchao Kong, Han Han:
Joint Learning with Keyword Extraction for Event Detection in Social Media. ISI 2018: 214-219 - [c9]Guandan Chen, Qingchao Kong, Wenji Mao, Daniel Zeng:
A Partition and Interaction Combined Model for Social Event Popularity Prediction. ISI 2018: 232-237 - 2017
- [c8]Guandan Chen, Qingchao Kong, Wenji Mao:
An attention-based neural popularity prediction model for social media events. ISI 2017: 161-163 - [c7]Guandan Chen, Qingchao Kong, Wenji Mao:
Online event detection and tracking in social media based on neural similarity metric learning. ISI 2017: 182-184 - 2016
- [c6]Qingchao Kong, Wenji Mao, Chunyang Liu:
Popularity prediction based on interactions of online contents. CCIS 2016: 1-5 - 2014
- [c5]Amir B. Farjadian, Sean Suri, Ally Bugliari, Paul Doucot, Nate Lavins, Alex Mazzotta, Jan P. Valenzuela, Patrick Murphy, Qingchao Kong, Maureen K. Holden, Constantinos Mavroidis:
vi-RABT: Virtually Interfaced Robotic Ankle and Balance Trainer. ICRA 2014: 228-233 - [c4]Qingchao Kong, Wenji Mao, Daniel Dajun Zeng, Lei Wang:
Predicting Popularity of Forum Threads for Public Events Security. JISIC 2014: 99-106 - 2013
- [c3]Amir B. Farjadian, Qingchao Kong, Venkata K. Gade, Judith E. Deutsch, Constantinos Mavroidis:
VRACK: Measuring pedal kinematics during stationary bike cycling. ICORR 2013: 1-6 - [c2]Qingchao Kong, Wenji Mao, Daniel Zeng:
Predicting user participation in social networking sites. ISI 2013: 154-156 - 2012
- [c1]Ansheng Ge, Wenji Mao, Daniel Zeng, Qingchao Kong, Huachi Zhu:
Extracting action knowledge in security informatics. ISI 2012: 174-176
Coauthor Index
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