^{_{I have extensive research interests which are focused on}} Natural language understanding and dialogue interaction technology, including: voice-based search, semantic understanding, intelligent QA and recommendation, natural conversation, natural language generation, etc.

I am looking for highly-motivated students to work with me on the exciting area of social media mining, machine learning, and intelligent system.

2015-now: Professor, University of Chinese Academy of Sciences.

2012-2015, Associate researcher, Overseas talent project, Institute of Software, Chinese Academy of Sciences.

Conferences

1. Enhancing collaborative filtering with generative augmentation, KDD2019

2. StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments,  KDD 2018

3. Neural Memory Streaming Recommender Networks with Adversarial Training, KDD 2018

4. Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching, KDD 2018

5. PME: projected metric embedding on heterogeneous networks for link prediction, KDD2018

6. Tada: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction, ICDM 2018

7. A Machine Reading Comprehension-based Approach for Featured Snippet Extraction, ICDM 2018

8.  Redundancy-resistant Generative Hashing for Image Retrieval, IJCAI 2018

9. Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data, ACM MM 2018

10. A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD2017

11. Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. AAAI 2017.

12. SuHierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV 2016.

13. Learning Graph-based POI Embedding for Location-based Recommendation. CIKM 2016.

14. Discovering Interpretable Geo-Social Communities for User Behavior Prediction. ICDE 2016.

15. Argumentation-Based Multi-Agent Decision Making with Privacy Preserved. AAMAS 2016.

16. A Unified Framework for Fine-Grained Opinion Mining from Online Reviews. HICSS 2016.

17. EventPanorama: A Framework for Multi-grained Event Detection, Visualization and Perception from Online News, HICSS 2016.

18. LSIF: A System for Large-scale Information Flow Detection Based on Topic-related Semantic Similarity Measurement. IEEE/WIC/ACM WI 2015.

19. Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation “. CIKM 2015.

20. RCFGED: Retrospective Coarse and Fine-Grained Event Detection from Online News.  SMC 2015.  (Best Paper Award)

21. CiFDAL: A graph layout algorithm to enhance human cognition in Idea Discovery. *SMC 2015*. 

22. Transfer Feature Representation via Multiple Kernel Learning.  AAAI 2015.

23.  A Bootstrapping Based Refinement Framework For Mining Opinion Words and Targets. CIKM 2014.

24. Human-Centric Computational Knowledge Enviroment for Complex and Ill-Stutured Problem Solving.  SMC 2014. 

25. An Improved IdeaGraph Algorithm for Discovering Important Rare Events. SMC 2014. 

26. Cross-Domain Metric Learning Based on Information Theory.  AAAI 2014.

Journals

1. Online Sales Prediction via Trend Alignment based Multi-Task Recurrent Neural Network, KAIS, 2019

2. Semi-Supervised Domain Adaptation via Fredholm Integral based Kernel Methods, Pattern Recognition, 2018

3. Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory, Neural Computation, 2018

4. Resumevis: A visual analytics system to discover semantic information in semi-structured resume data, ACM Transactions on Intelligent Systems and Technology (TIST) , 2018

5. Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation, IEEE Transaction on Knowledge and Data Engineering (TKDE). 2017. 

6. A cognition graph approach for insights generation from event sequences. Cluster Computing, 2017.

7. Discriminative Dimensionality Reduction for Multi-dimensional Sequences[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

8. Emotion Analysis for Personality Inference from EEG Signals, TAC, 2017

9. Discriminative Transformation for Multi-Dimensional Temporal Sequences (TIP). 2017

10. Adapting to User Interest Drift for POI Recommendation.IEEE Transaction on Knowledge and Data Engineering (TKDE). 2016

11. A Hybrid Term-Term Relations Analysis Approach for Topic Detection. Knowledge-based Systems (KBS). 2016.

12. Idea discovery: A scenario-based systematic approach for decision making in market innovation, Expert Systems with Applications (ESWA), 2013. 

13. Innovation Support System for Creative Product Design Based on Chance Discovery,  Expert Systems With Applications (ESWA), 2012.

Book Chapters 

Wang, Hao. et al. Idea Discovery: A Context-Awareness Dynamic System Approach for Computational Creativity. In Smart Modeling and Simulation for Complex Systems.  Springer, 2015.
Wang Hao, et.al. IdeaGraph: Turning Data into Human Insights for Collective Intelligence. Foundations and Applications of Intelligent Systems, Springer, 2013. 
Wang Hao, et.al. Data-Driven Innovation Technologies for Smarter Business from Innovators’ Market Game to iChance Creativity Support System, Advances in Chance Discovery, Springer, 2012. 

2016, PC Member, AAAI 2016.
2015, PC Member, CSCWD 2015.
2015, PC Member, ACIIDS 2015.
2014, PC Member，Modat, ICDM 2015.
2014, PC Member，Modat, ICDM 2014.
2014, PC Member, ACIIDS 2014.
2013, PC Member，Modat, ICDM 2013
2013, Session Chair，IEEE SMC 2013
2011, Session Chair，DMM in SDM, USA
2011, Steering Committee Member for 3rd GMSI international symposium
2011, Admission Committee Member, the 4th joint symposium Tsinghua University, Seoul University and The University of Tokyo