Songlin Hu  虎嵩林) is a professor at the Institute of Information Engineering (IIE), the Chinese Academy of Sciences. He is also a joint professor at the University of Chinese Academy of Sciences.

email:husonglin (at)

I  am looking for smart, curious and self-motivated Phd students and postdoc research fellows with solid therotical background and/or strong programming skills. If you are interested, feel free to drop me an email.

Research Areas

His research areas include big data, natural langurage processing, knowledge graph, etc. He has published more than one hundred publications in many reputed conferences and journals, like SIGMOD,VLDB,ACL,AAAI,IJCAI,, ICDE, ICDCS, ACM/IEEE Trans, etc. 


He received his Bachelor (1995) and Master (1998) degree from the Taiyuan Institute of Technology, and got his Ph.D degree inBeihang University in 2001. He has worked in Middleware System Research Group at the University of Toront from 2005 to 2006,  participating in PADRES project.


Work Experience

He joined Institute of Computing Technology, Chinese Academy of Sciences in April 2002 as an assistant professor, and was promoted to associate professor in September 2002. He has been the leader of Software integration and Service Grid Group, deputy director of the Sino-German Joint research lab on Software integration & service computing. He moved to Institute of Information Engineering, Chinese Academy of Sciences in 2015.


Recent Papers


1. Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu. Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection. COLING 2022. 2759-2768

2. Lingwei Wei, Dou Hu, Yantong Lai, Wei Zhou, Songlin Hu. A Unified Propagation Forest-based Framework for Fake News Detection. COLING 2022. 2769-2779

3. Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu. ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding. COLING 2022. 3898-3907

4. Xing Wu, Chaochen Gao, Yipeng Su, Jizhong Han, Zhongyuan Wang, Songlin Hu. Smoothed Contrastive Learning for Unsupervised Sentence Embedding. COLING 2022. 4902-4906.

5. Ziming Li, Yan Zhou, Weibo Zhang, Yaxin Liu, Chuanpeng Yang, Zheng Lian, Songlin Hu. AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis. COLING 2022. 7136-7146 

6. Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu. Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation. IJCAI 2022. 4051-4057

7. Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu. Improving disk failure detection accuracy via data augmentation. IWQoS 2022. 1-10

8. Chuanpeng Yang, Fuqing Zhu, Guihua Liu, Jizhong Han, Songlin Hu. Multimodal Hate Speech Detection via Cross-Domain Knowledge Transfer. ACM Multimedia 2022. 4505-4514.

9. Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu. Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction. In ACL 2022. .Findings long paper.

10. Ting Ma, Longtao Huang, Qianqian Lu, Songlin Hu. KR-GCN: Knowledge-aware Reasoning with Graph Convolution Network for Explainable Recommendation. ACM TOIS 2022.. .

11. Ding Wang, Lingwei Wei, ChunYuan Yuan, Yinan Bao, Wei Zhou, Xian Zhu, Songlin Hu. Cascade-Enhanced Graph Convolutional Networks for Information Diffusion Prediction. In DASFAA 2022.

12. Ting Ma, Mingming Li, Shangwen Lv, Fuqing Zhu, Longtao Huang, Songlin Hu. ContE: Contextualized Knowledge Graph Embedding for Circular Relations. Data Mining and Knowledge Discovery 2022.

13. Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Songlin Hu. Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks. In ACL 2022. .Main conference short paper.

14. Zhuohua Li, Weibo Zhang, Ziang Yang, Fuqing Zhu, Jizhong Han, Songlin Hu. UFI: a Unified Feature Interaction framework for Multi-Label Image Classification. In ICME 2022.

15. Xiaobin Zhang, Liangjun Zang, Peng Cheng, Yuqi Wang, Songlin Hu. A Knowledge/Data Enhanced Method for Joint Event and Temporal Relation Extraction. In ICASSP 2022.

16. Weibo Zhang, Fuqing Zhu, Jizhong Han, Tao Guo, Songlin Hu. Cross-layer Aggregation with Transformers for Multi-Label Image Classification. In ICASSP 2022.


17. Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu. Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection. In ACL 2021.

18. Qianwen Ma, Chunyuan Yuan, Wei Zhou, Songlin Hu. Label-Specific Dual Graph Neural Network for Multi-Label Text Classification. In ACL 2021.

19. Yan Zhou, Fuqing Zhu, Pu Song, Jizhong Han, Tao Guo, Songlin Hu. An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis. In AAAI 2021.

20. Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu. Entity and Relation Matching Consensus for Entity Alignment. In CIKM 2021. 2331-2341.

21. Ting Ma, Shangwen Lv, Longtao Huang, Songlin Hu. HiAM. A Hierarchical Attention based Model for knowledge graph multi-hop reasoning. Neural Networks 143. 261-270 (2021).

22. Jinzhu Yang, Wei Zhou, Wanhui Qian, Jizhong Han, Songlin Hu. Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data. In ICASSP 2021.

23. Wanhui Qian, Fuqing Zhu, Jinzhu Yang, Jizhong Han, Songlin Hu. Aligning the Training and Evaluation of Unsupervised Text Style Transfer. In ICASSP 2021.


24. Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu. Graph-based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. In AAAI 2020. 8449-8456.

25. Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu. Symmetric Metric Learning with Adaptive Margin for Recommendation. In AAAI 2020. 4634-4641.

26. Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu. Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning. In DAC 2020.

27.  Chunyuan Yuan, Qianwen Ma, Junyang Chen, Wei Zhou, Xiaodan Zhang, Xuehai Tang, Jizhong Han, Songlin Hu. Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification. In ACM MM 2020.

28.  Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu. Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. In ICASSP 2020.

29. Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu. DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users’ Dynamic Preferences for Information Diffusion Prediction. In ECML-PKDD 2020.

30. Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu. Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis. In ECML-PKDD 2020.

31. Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han and Songlin Hu. Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning. In COLING 2020.

32. Shangwen Lv, Fuqing Zhu, Songlin Hu. Integrating External Event Knowledge for Script Learning. In COLING 2020.

33. Jinzhu Yang, Wei Zhou, Lingwei Wei, Junyu Lin, Jizhong Han, Songlin Hu. RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs. In DASFAA 2020. 432-447.

34. Shangwen Lv, Longtao Huang, Liangjun Zang, Wei Zhou, Jizhong Han, Songlin Hu. Yet another approach to understanding news event evolution. World Wide Web J. 2020, 23(4). 2449-2470.

35.  Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu. Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification. In WSDM 2020. 411-419.

36. Yan Zhou, Wei Jiang, Po Song, Yipeng Su, Tao Guo, Jizhong Han, Songlin Hu. Graph Convolutional Networks for Target-oriented Opinion Words Extraction with Adversarial Training. In IJCNN 2020. Best Student Paper Award. 


37. Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu. SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. In AAAI 2019. 6802-6809.

38. Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu. Mask and Infill: Applying Masked Language Model to Sentiment Transfer. In IJCAI 2019. 5271-5277.

39. Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu. A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. In IJCAI 2019. 5485-5491.

40. Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu. Jointly embedding the local and global relations of heterogeneous graph for rumor detection. In ICDM 2019. 796-805.

41. Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu. Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots. In EMNLP 2019. 111-120.

42. Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu. AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Neural Networks. In ICCD 2019. 65-72.

43. Wei Zhou, Jingli Wang, Junyu Lin, Jiacheng Li, Jizhong Han, Songlin Hu. A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships. In DASFAA 2019. 36-51.

44. Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu. Conditional BERT Contextual Augmentation. ICCS 2019. 84-95.

45.  Weibo Zhang, Fuqing Zhu, Jiao Dai, Songlin Hu, Jizhong Han, Tao Guo. SPL: Exploiting Unlabeled Data for Multi-Label Image Classification. In ICME 2019. 157-162.

46. Hongchao Gao, Xi Wang, Yujia Li, Jizhong Han, Songlin Hu, Ruixuan Li. Self-Representation Concolutional Neural Networks. In ICME 2019. 1672-1677.


Research Interests

Big Data storage and Intelligent processing, Knowledge Graph