Min Yang

I am now an Associate Professor (PhD Supervisor) in Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, leading a Natural Language Processing team. 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 from Department of Computer Science, The University of Hong Kong.

My research interests include a variety of topics, including (but not limited to): Natural Language Processing Applications (e.g., dialogue generation, knowledge base, question answering, sentiment analysis), Human-inspired Language Learning (e.g., lifelong learning, multi-task learning, transfer learning), Recommendation Systems (e.g., sequential recommendation, conversational recommendation, news recommendation), Multimodal Learning (e.g., image captioning, text-image retrieval, visual stroytelling).

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

Academic Services

  • Action Editor (Area Chair) for the ACL Rolling Review (ARR)

  • Area Chair of ACL-2021 and ACL-2022.

  • Area Chair of EMNLP-2021.

  • Senior Program Committee of IJCAI-2021.

  • Senior Program Committee of AAAI-2022.

  • Program committee of IJCAI, AAAI, ACL, COLING, EMNLP, NAACL, WWW, etc.

  • Reviewer of Transactions of the Association for Computational Linguistics (TACL), IEEE Transactions on Cybernetics (TOC), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Multimedia (TMM), Knowledge-based Systems (KBS), IEEE Transactions on Smart Grid, Information Sciences, Nueral Networks, Neurocomputing, World Wide Web Journal, GeoInformatica, International Journal of Machine Learning and Cybernetics (IJMLC), Journal of Network and Systems Management, etc.

Selected Publications

2022

  1. Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li. Exploring Privileged Features for Relation Extraction with Contrastive Student-Teacher Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A)

  2. Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu. Few-shot Aspect Category Sentiment Analysis via Meta-Learning. ACM Transactions on Information Systems (TOIS), 2022. (CCF A)

  3. Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si and Yongbin Li. Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

  4. Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen and Xiaoyan Zhao. Enhancing Top-N Item Recommendations by Peer Collaboration. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

  5. Lei Zhang, Min Yang, Chengming Li and Ruifeng Xu. Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

  6. Jing Xiong, Chengming Li, Min Yang, Xiping Hu and Bin Hu. Expression Syntax Information Bottleneck for Math Word Problems. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

  7. Lei Chen, Jingtao Ding, Min Yang, Chengming Li, Chonggang Song and Lingling Yi. Item-Provider Co-learning for Sequential Recommendation. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

  8. Shujie Li, Min Yang, Chengming Li and Ruifeng Xu. Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)

  9. Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. The Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (CCF A)

  10. Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. The Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (CCF A)

  11. Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li. GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection. The AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF A)

  12. Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou. Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (CCF A)

  13. Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang and Ruifeng Xu. Zero-Shot Stance Detection via Contrastive Learning. The Web Conference (WWW), 2022. (CCF A)

2021

  1. Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, and Min Yang. User-specific Adaptive Fine-tuning for Cross-domain Recommendations. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. (CCF A)

  2. Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu and Ruifeng Xu. Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

  3. Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang and Ruifeng Xu. An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

  4. Jianzhu Bao, Bin Liang, Jingyi Sun, Yice Zhang, Min Yang and Ruifeng Xu. Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

  5. Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu. Progressive Self-Training with Discriminator for Aspect Term Extraction. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (CCF B)

  6. Jieke Li, Min Yang, Chengming Li. CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking. ACM International Conference on Information and Knowledge Management (CIKM), 2021. (CCF B)

  7. Bin Liang, Wangda Luo, Xiang Li, Lin Gui, Ruifeng Xu and Min Yang. Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning. ACM International Conference on Information and Knowledge Management (CIKM), 2021. (CCF B)

  8. Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, Ruifeng Xu. Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs. ACM Multimedia, 2021. (CCF A)

  9. Junhao Liu, Zhen Hai, Min Yang and Lidong Bing. Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. The Annual Meeting of the Association for Computational Linguistics (ACL), 2021. (CCF A)

  10. Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu and Min Yang. Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. The Annual Meeting of the Association for Computational Linguistics (ACL), 2021. (CCF A)

  11. Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He. Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. Findings of ACL, 2021.

  12. Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu. Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

  13. Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun and Guoxiao Zhang. StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

  14. Jianquan Li, Xiaokang Liu, Sheng Zhang, Min Yang, Ruifeng Xu, Fengqing Qin. Accelerating Neural Architecture Search for Text Classification with Knowledge Distillation and Earth Mover’s Distance. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

  15. Lihan Wang, Min Yang, Chengming Li, Ying Shen and Ruifeng Xu. Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. (CCF A)

  16. Yang Deng, Yuexiang Xie, Yaliang Li, Yang Min, Wai Lam, Ying Shen. Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Transactions on Information Systems (TOIS), 2021. (CCF A)

  17. Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu. Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

  18. Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu. Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

  19. Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

  20. Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan. The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement. The AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A)

  21. Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He and Ruifeng Xu. Target-adaptive Graph for Cross-target Stance Detection. The Web Conference (WWW), 2021. (CCF A)

  22. Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Xiang Ao. Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. The International Conference on Database Systems for Advanced Applications (DASFAA), 2021. (CCF B)

2020

  1. Jianquan Li, Xiaokang Liu, Honghong Zhao, Ruifeng Xu, Min Yang, Yaohong Jin. BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. (CCF B)

  2. Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu. Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. (CCF B)

  3. Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang. Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. The 28th International Conference on Computational Linguistics (COLING), 2020. (CCF B)

  4. Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang. Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems. The 28th International Conference on Computational Linguistics (COLING), 2020. (CCF B)

  5. Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian. Interactive Key-Value Memory-augmented Attention for ImageParagraph Captioning. The 28th International Conference on Computational Linguistics (COLING), 2020. (CCF B)

  6. Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao and Duo Liu. A Generic Network Compression Framework for Sequential Recommender Systems. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

  7. Xiaoyan Zhao, Min Yang, Qiang Qu and Yang Sun. Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

  8. Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam and Ying Shen. Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

  9. Min Yang, Ying Shen, Xiaojun Chen and Chengming Li. Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. The 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. (CCF A)

  10. Weiyi Huang, Jiahao Jiang, Qiang Qu, Min Yang. AILA: A Question Answering System in the Legal Domain. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (Demo, CCF A)

  11. Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu and Kuai Dai. Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge. The Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (CCF A)

  12. Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang, Ruifeng Xu. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. The Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (CCF A)

  13. Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu. Be Relevant, Non-redundant, Timely: Deep Reinforcement Learning for Real-time Event Summarization. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

  14. Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang. Interactive Dual Generative Adversarial Networks for Image Captioning. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

  15. Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang. Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

  16. Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei. Attentive User-engaged Adversarial Neural Network for Community Question Answering. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

  17. Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen. Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

  18. Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. The AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)

  19. Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang. Modeling Relation Paths for Knowledge Graph Completion, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF A)

2019

  1. Zhile Jiang, Lei Chen, Xiang Ao, Ruifeng Xu, Min Yang. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (CCF B)

  2. Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian. A Unified Generation-Retrieval Framework for Image Captioning. In The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF B)

  3. Junyu Luo, Ying Shen, Ao Xiang, Zhao Zhou, Min Yang. Cross-modal Image-Text Retrieval with Multitask Learning. In The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF B)

  4. Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He. Reading Like HER: Human Reading Inspired Extractive Summarization. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (CCF B)

  5. Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao. A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019. (CCF B)

  6. Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen. Knowledge-aware Textual Entailment with Graph Attention Network. In The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF B)

  7. Yang Deng, Yaliang Li, Ying Shen, Min Yang, Nan Du, Wei Fan, Kai Lei. MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. In The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF B)

  8. 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. (IF: 10.387)

  9. 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)

  10. 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)

  11. 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)

  12. 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)

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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)

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

  19. 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)

  20. 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)

  21. 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. (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. (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. 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)

  10. 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)

  11. 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)

  12. 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)

  13. 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)

  14. 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)

  15. 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, Area Chair Favorites), 2018. (CCF B)

  16. 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)

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

  18. 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)

  19. Wenting Tu, Min Yang, David W. Cheung, Nikos Mamoulis, Investment Recommendation by Discovering High-quality Opinions in Investor based Social Networks, Information Systems, 2018. (CCF B)

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

  21. 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. (JCR 1, IF:4.305)

  22. 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)

  23. 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)

  24. 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)

  25. 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. (CCF A)

  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. W. Tu,, D. W. Chueng, N. Mamoulis, Min Yang, and Z. Lu, Activity Recommendation with Partners, ACM Transactions on the Web (TWEB), 2017. (CCF B)

  9. 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. (CCF B)

  10. 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)

  11. 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)

Supervised Students (Current)

  • Junhao Liu (2019)

  • Lei Chen (2019)

  • Xiao Liu (2019)

  • Xiaoyan Zhao (2019)

  • Jieke Li (2019)

  • Jiabao Wen (2020)

  • Wanwei He (2020)

  • Lihan Wang (2020)

  • Bowen Qin (2020)

  • Lei Zhang (2021)

  • Jiaxi Yang (2021)

  • Tianshu Yu (2021)

  • Yunshui Li (2021)

Co-supervised or Co-authored Students (Previous)

  • Weiyi Huang (SIAT-CAS → Tencent)

  • 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)

  • Jiahao Jiang (Sichuan University)

  • Dongding Lin (Sun Yat-Sen University)

  • Jian Wang (SCUT → Ph.D in Hong Kong Polytechnic University)

  • Chunpu Xu (HUST → Ph.D in Hong Kong Polytechnic 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