Min Yang

I am now an Assistant Professor in Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, leading the Artificial Intelligence and Natural Language Processing team in Shenzhen Key Laboratory for High Performance Data Mining. In addition, I am the director of SIAT-DELI Artificial Intelligence and Law Lab.

Previously, I was a senior AI researcher at Tencent, working on NLP related tasks. I received my Ph.D. degree in Department of Computer Science, The University of Hong Kong, advised by Dr. K.P. Chow. Before that, I got my Bachelor degree from Sichuan University, 2012. I was a visiting student with Rensselaer Polychnic Institute from March 2016 to June 2016, worked with Prof. Heng Ji who is super smart and efficient.

My research interests include a variety of topics, including (but not limited to): Natural Language Processing (e.g., Dialogue generation, sentiment analysis, topic modeling, question answering, knowledge base, user profiling, etc.), Multimodal Learning (e.g., image captioning, video summarization), Deep Learning, Recommendation Systems, Machine Learning in Finance and Law.

We are hiring a few intern/master/PhD students. Drop me a CV if interested (min.yang@siat.ac.cn).

Selected Publications

2019

  1. Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen. Leveraging Long and Short-term Information in Content-aware Movie Recommendation via Adversarial Training. IEEE Transactions on Cybernetics (TOC), 2019. (SCI, JCR 1, IF: 8.803)

  2. Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen. Neural Attentive Network for Cross-Domain Aspect-level Sentiment Classification. IEEE Transactions on Affective Computing (TAC), 2019. (SCI, JCR 1, IF: 4.585)

  3. Min Yang, Qiang Qu, Wenting Tu, Xiaojun Chen, Ying Shen, Jia Zhu. Discovering Author Interest Evolution in Order-sensitive and Semantic-aware Topic Modeling. Information Sciences, 2019. (SCI, JCR 1, IF: 4.305)

  4. Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen. Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2019. (CCF A)

  5. Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang. Towards Scalable and Reliable Capsule Networks and its NLP Applications. The Annual Meeting of the Association for Computational Linguistics (ACL), 2019. (CCF A)

  6. Kai Lei, Qiuai Fu, Jiake Ni, Feiyang Wang, Min Yang, Kuai Xu. Detecting Malicious Domains with Behavioral Modeling and Graph Embedding. The 39th IEEE International Conference on Distributed Computing Systems (ICDCS), 2019. (CCF B)

  7. Zhou Zhao, H.J. Pan, C.J. Fan, Deng Cai, Min Yang, Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning, The 28th International World Wide Web Conference (WWW), 2019. (CCF A)

  8. Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen. Exploring Human-Like Reading Strategy for Abstractive Text Summarization, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)

  9. Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen. Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)

  10. Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu. A Human-like Semantic Cognition Network for Aspect-level Sentiment Classification, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)

  11. Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai. Learning Document Embeddings with Crossword Prediction, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A, Short)

  12. Ziyu Wan, Yan Li, Min Yang and Junge Zhang. Transductive Zero-Shot Learning via Visual Center Adaptation, The AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A, Short)

  13. Kai Lei, Meng Qin, Bo Bai, Gong Zhang, Min Yang. A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks , IEEE International Conference on Computer Communications (IEEE INFOCOM), 2019. (CCF A)

  14. Yu Shuai, Yongbo Wang, Min Yang, Qiang Qu, Baocheng Li, Shen Jialie. NAIRS: A Neural Attentive Interpretable Recommendation System, ACM International Conference on Web Search and Data Mining (WSDM), 2019. (CCF B)

2018

  1. Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen. PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A)

  2. Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao. A Multi-task Learning Approach for Image Captioning. International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A)

  3. Ying Shen, Kaiqi Yuan, Y. Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei. Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning, The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018. (CCF B)

  4. Min Yang, Wei Zhao, Wei Xu, Yabing Feng, Zhou Zhao, Xiaojun Chen, Kai Lei. Multitask Learning for Cross-domain Image Captioning. IEEE Transactions on Multimedia (TMM), 2018. (SCI, JCR 1, IF: 3.977)

  5. Jia Zhu, G.P.C. Fung, Zeyang Lei, Min Yang, Ying Shen. An In-Depth Study of Similarity Predicate Committee, Information Processing and Management, 2018. (SCI, JCR 1, IF:3.444)

  6. Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu. Improving Automatic Source Code Summarization via Deep Reinforcement Learning. The 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018. (CCF A)

  7. Zhao Zhou, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang. Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF A)

  8. Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Z. Huang. Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut, The 24rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2018. (CCF A)

  9. Jia Zhu, Changqiin Huang, Min Yang, G.P.C. Fung, Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks, Information Sciences, 2018. (SCI, JCR 1, IF:4.305)

  10. Zeyang Lei, Yujiu Yang, Min Yang, Yi Liu. A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification. The 56nd Annual Meeting of the Association for Computational Linguistics (ACL), 2018. (CCF A)

  11. Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei. Ontology Evaluation with Path-based Text-aware Entropy Computation. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

  12. Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

  13. Ying Shen, Deng Yang, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei, IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy, The IEEE International Conference on Data Mining series (ICDM), 2018. (CCF B)

  14. Zeyang Lei, Yujiu Yang, Min Yang. SAAN: A Sentiment-Aware Attention Network for Sentiment Analysis. The 41th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. (CCF A)

  15. Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei. Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge, The 27th International Conference on Computational Linguistics (COLING), 2018. (CCF B)

  16. Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen. Cooperative Denoising for Distantly Supervised Relation Extraction, The 27th International Conference on Computational Linguistics (COLING), 2018. (CCF B)

  17. Wei Zhao, Jianbo Ye, Min Yang, Zeyang Lei, Soufei Zhang, Zhou Zhao. Investigating Capsule Networks with Dynamic Routing for Text Classification. International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. (CCF B)

  18. Min Yang, Wenting Tu, Qiang Qu, Xiaojun Chen, Zhou Zhao, Jia Zhu. Personalized Response Generation by Dual-learning based Domain Adaptation. Neural Networks, 2018. (SCI, JCR 1, IF: 7.197)

  19. Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Xiaojun Chen, Zhou Zhao, Zhexue Huang, Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation, The SIAM International Conference on Data Mining (SDM), 2018. (CCF B)

  20. Wenting Tu, Min Yang, David W. Cheung, Nikos Mamoulis, Investment Recommendation by Discovering High-quality Opinions in Investor based Social Networks, Information Systems, 2018. (SCI, JCR 2, IF:2.551)

  21. Xiaojun Chen, Min Yang, Zhexue Huang, Zhong Ming, TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering, Pattern Recognition, 2018. (SCI, JCR 1, IF:3.692)

  22. Changqin Huang, Jia Zhu, Xiaodi Huang, Min Yang, Gabriel Fung, Yong Tang, A Novel Approach for Entity Resolution in Scientific Documentsusing a Context Graph, Information Sciences, 2018. (SCI, JCR 1, IF:4.305)

  23. Ying Shen, K. Yuan, D. Chen, Joel Colloc, Min Yang, Yaliang Li, Kai Lei, An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription, Artificial Intelligence in Medicine, 2018. (SCI, JCR 2, IF:2.879)

  24. Ying Shen, Daoyuan Chen, Buzhou Tang, Min Yang, Kai Lei, EAPB: Entropy-Aware Path-Based Metric for Ontology Quality, Journal of Biomedical Semantics, 2018. (SCI)

  25. Changqin Huang, Jia Zhu, Y. Liang, Min Yang, Gabriel Fung, Junyu Luo, An Efficient Automatic Multiple Objectives Optimization Feature Selection Strategy for Internet Text Classification, International Journal of Machine Learning and Cybernetics (JMLC), 2018. (SCI, IF: 2.692)

  26. Zhile Jiang, Shuai Yu, Min Yang, Qiang Qu, Junyu Luo, Juncheng Liu, Multi-task Learning for Author Profiling with Hierarchical Features, The 27th International World Wide Web Conference (WWW), 2018. (Short, CCF A)

  27. Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Generative Adversarial Network for Abstractive Text Summarization, The 30th AAAI Conference on Artificial Intelligence (AAAI), February, 2018. (Short, CCF A)

2017

  1. Min Yang, J. Mei, Heng Ji, Wei Zhao, Zhou Zhao and X. Chen, Identifying and Tracking Location-based Sentiment and Topic from Social Media Texts, International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017. (CCF B)

  2. Min Yang, Zhou Zhao, Wei Zhao, X. Chen, Jia Zhu and L. Zhou, Personalized Response Generation via Domain Adaptation, The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (CCF A)

  3. Wei Zhao, Wei Xu, Min Yang, Jianbo Ye, Zhou Zhao and Yu Qiao, Dual learning for Cross-domain Image Captioning, International Conference on Information and Knowledge Management (CIKM), 2017. (CCF B)

  4. Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Zhexue Huang, PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017, to appear. (SCI, JCR 1, IF:3.44)

  5. Y. Wang, Y. Xu, Min Yang, Zhou Zhao, Jun Xiao, Y. Zhuang, Integrating Side Information for Boosting Machine Comprehension, International Conference on Information and Knowledge Management (CIKM), 2017. (CCF B)

  6. Zhou Zhao, Q. Yang, H. Lu, Min Yang, Jun Xiao, Fei Wu and Yueting Zhuang, Learning Max-Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggesiton, The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2017. (CCF A)

  7. Xiaojun Chen, Feiping Nie, Zhexue Huang, Min Yang, Directly Minimizing Normalized Cut for Large Scale Data, International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A)

  8. Min Yang, Yuzhi Liang, Wei Zhao, Wei Xu, Jia Zhu, Qiang Qu, Task-oriented Keyphrase Extraction from Social Media, Multimedia Tools and Applications, 2017. (SCI, IF:1.530)

  9. Jia Zhu, Y.Z. Liang, C.Q. Huang, Min Yang, Jing Xiao, Yong Tang, A Novel Approach for Adverse Events Detection, The IJCAI workshop on Knowledge Discovery in Healthcare Data, 2017.

  10. W. Tu,, D. W. Chueng, N. Mamoulis, Min Yang, and Z. Lu, Activity Recommendation with Partners, ACM Transactions on the Web (TWEB), 2017. (SCI, JCR 2, IF:2.40)

  11. Xiaojun Chen, Joshua Huang, Q. Wu, Min Yang, Subspace Weighting Co-Clustering of Gene Expression Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017. (SCI, IF:1.955)

  12. Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen, Attention-based LSTM for Target-dependent Sentiment Classification, The 29th AAAI Conference on Artificial Intelligence (AAAI), 2017. (short, CCF A)

  13. Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu, Detecting Review Spammer Groups, The 29th AAAI Conference on Artificial Intelligence (AAAI), 2017. (short, CCF A)

2016

  1. Min Yang, Jincheng Mei, Fei Xu, Wenting Tu, Ziyu Lu, Discovering Author Interest Evolution in Topic Modeling, The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016. (CCF A)

  2. Min Yang, Fei Xu, Kam-Pui Chow, Interest Profiling for Security Monitoring and Forensic Investigation, The 21st Australasian Conference on Information Security and Privacy (ACISP), 2016. (CCF C)

  3. Wenting Tu, David W.Chueng, Nikos Mamoulis, Min Yang, Ziyu Lu, Investment Recommendation using Investor Opinions in Social Media, The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016. (CCF A)

2015

  1. Min Yang, Wenting Tu, Wenpeng Yin, Ziyu Lu, Deep Markov Neural Network for Sequential Data Classification, The 53rd Annual Meeting of the Association for Computational Linguitics (ACL), 2015. (CCF A)

  2. Min Yang, Wenting Tu, Ziyu Lu, Wenpeng Yin, Kam-Pui Chow, LCCT: A Semi-supervised Model for Sentiment Classification, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2015. (CCF C)

  3. Min Yang, Tianyi Cui, Wenting Tu, Order-sensitive and Semantic-aware Topic Modeling, The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015. (CCF A)

  4. Min Yang, Kam-Pui Chow, An Information Extraction Framework for Forensic Investigations, Eleventh Annual IFIP WG 11.9 International Conference on Digital Forensics (IFIP WG 11.9), 2015. (CCF C)

  5. Wenting Tu, David W. Cheung, Nikos Mamoulis, Min Yang, Ziyu Lu, Activity-Partner Recommendation, The 19th Pacific-asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015. (CCF C)

2014

  1. Min Yang, Dingju Zhu, Rashed Mustafa, Kam-Pui Chow, Learning Sentiment Lexicon with Supervised Sentiment-aware LDA, The 21st Erupean Conference on Artificial Intelligence (ECAI), 2014. (CCF B)

  2. Min Yang, Baolin Peng, Zheng Chen, Dingju Zhu, Kam-Pui Chow, A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon, The 52nd Annual Meeting of the Association for Computational Linguistics (ACL), 2014. (CCF A)

  3. Min Yang, Kam-Pui Chow, Authorship Attribution for Forensic Investigation with Thousands of Authors, IFIP International Information Security and Privacy Conference (IFIP SEC), 2014. (CCF C)

Selected Awards

  • Shenzhen Overseas High Level Talent Project (Peacock Plan) C, 2018

  • SIGIR Travel Grant, 2016

  • AAAI Student Scholarship, 2015

  • The University of Hong Kong Postgraduate Studentship, 2012 - 2016

  • Sichuan University Outstanding Undergraduate Thesis Award, 2012

  • National Scholarship (for top 1% students in SCU), Chinese Ministry of Education, 2010, 2011

  • The First Class Scholarship of Sichuan University, 2009, 2010, 2011

  • Outstanding Student Leader of Sichuan University, 2011

  • Outstanding Student of Sichuan University, 2009, 2010

  • National Scholarship for Encouragement, Chinese Ministry of Education, 2009

Academic Services (Program Committee or Reviewer)

  • Program committee of IJCAI-19, AAAI-19, AAAI-18, IJCAI-18, COLING-18, ACL-17, NAACL-17, etc.

  • Reviewer of IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, IEEE Transactions on Smart Grid, Information Sciences, Neurocomputing, World Wide Web Journal, GeoInformatica, International Journal of Machine Learning and Cybernetics, Journal of Network and Systems Management, etc.

Supervised or Co-supervised (Current)

  • Weiyi Huang (SIAT, CAS)

  • Xianhang Zhou (SIAT, CAS)

  • Lei Chen (SIAT, CAS)

  • Junhao Liu (SIAT, CAS)

  • Jian Wang (South China University of Technology)

  • Zhenhao He (South China University of Technology)

  • Longkun Zou (South China University of Technology)

  • Dongding Lin (Sun Yat-Sen University)

  • Xing Li (Xi’an University of Science and Technology)

  • Jiabao Wen

  • Ruitao Guo (South China University of Technology)

  • Jiahao Jiang (Sichuan University)

  • Meng Qin (Peking University Shenzhen Graduate School)

Co-supervised or Co-authored Students (Previous)

  • Wei Zhao (SIAT, CAS → Ph.D in TU Darmstadt)

  • Linqing Liu (Tongji University → master in University of Waterloo)

  • Yao Lu (Fudan University → master in University of Waterloo)

  • Zhile Jiang (Sichuan University → Ph.D in University of Aarhus)

  • Junyu Luo (Sichuan University → MSRA)

  • Shuai Yu (Xi’an Jiaotong University → Ph.D in Fudan University)

  • Wenyu Du (University of Southampton)

  • Baocheng Li (Northeast Normal University)

  • Xintong Wang (South China University of Technology → Ph.D in University of Melbourne)

  • Siyao Wang (Tongji University → master in Brown University)

  • Yongbo Wang (Chongqing University → Kingsoft AI Lab)

  • Zeyang Lei (Tsinghua University Shenzhen Graduate School → Baidu)

  • Yang Deng (Peking University Shenzhen Graduate School → Ph.D in Chinese University Of Hong Kong)

  • Daoyuan Chen (Peking University Shenzhen Graduate School → Alibaba)

  • Ziyu Wan (Xi’an Jiaotong University → City University of Hong Kong)

  • Qingnan Jiang (China University of Mining and Technology → Master in Nanjing University)

Teaching Experience

  • Summer 2018, Lecturer, Data Mining, SIAT, CAS

  • Fall 2015, Teaching Assistant, Programming technologies and tools (COMP2123), The University of Hong Kong

  • Fall 2012 & Fall 2013 & Fall 2014, Teaching Assistant, Computer Programming (CICS1117A), The University of Hong Kong