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Hanqing Zhang and Dawei Song (2022a). Towards Contrastive Context-Aware Conversational Emotion Recognition. IEEE Transactions on Affective Computing. Early Access online, October 2022. JCR一区，DOI: https://doi.org/10.1109/TAFFC.2022.3212994
Hanqing Zhang and Dawei Song (2022b). Controlled Text Generation via Discriminator Cooperative Unlikelihood Prompt Tuning. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022). Accepted. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类. Link: http://arxiv.org/abs/2210.09551
Chen Zhang, Lei Ren, Jingang Wang, Wei Wu and Dawei Song (2022). Making Pre-trained Language Models Good Long-tailed Learners. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022). Accepted. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类. Link: https://arxiv.org/abs/2205.05461
Yi Yang, Chen Zhang and Dawei Song (2022). Sparse Teachers Can Be Dense with Knowledge. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022). Accepted. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类. Link: https://arxiv.org/abs/2210.03923
Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan and Dawei Song (2022). XPrompt: Exploring the Extreme of Prompt Tuning. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022). Accepted. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类. Link: https://arxiv.org/abs/2210.04457
Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu and Dawei Song (2022). Structural Bias for Aspect Sentiment Triplet Extraction. The 2022 International Conference on Computational Linguistics (COLING2022), pp. 6736-6745. Gyeongju, Republic of Korea, October 12-17, 2022. CCF B类. Link: https://aclanthology.org/2022.coling-1.585/
Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., et al. (2022). EEG based Emotion Recognition: A Tutorial and Review. ACM Computing Surveys. Early access online, March 2022. JCR一区，DOI: https://doi.org/10.1145/3524499
Peng Zhang, Wenjie Hui, Benyou Wang, Donghao Zhao, Dawei Song, Christina Lioma, Jakob Grue Simonsen (2022). Complex-valued Neural Network-based Quantum Language Models. ACM Transactions on Information Systems. Vol. 40(4), 84:1-84:31. March 2022. CCF A 类. DOI: https://doi.org/10.1145/3505138
Zhang, P., Gao, H., Hu, Z., Yang, M., Song, D., Hou, Y., Hu, B. (2022). A bias–variance evaluation framework for information retrieval systems. Information Processing and Management. Vol 59(1), January 2022, 102747. JCR一区，DOI: https://doi.org/10.1016/j.ipm.2021.102747
Ao Jia, Yu He, Yazhou Zhang, Sagar Uprety, Dawei Song, Christina Lioma (2022). Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL2022), pp. 1512-1522. Seattle, WA, United States, July 10-15, 2022. CCF C类. DOI: https://doi.org/10.18653/v1/2022.naacl-main.108
Yi Yang, Chen Zhang, Benyou Wang, Dawei Song (2022). Doge Tickets: Uncovering Domain-General Language Models by Playing Lottery Tickets. The 11th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC2022), pp. 144-156. Guilin, China, September 24-25, 2022. CCF C类 [Best Paper Award]. DOI: https://doi.org/10.1007/978-3-031-17120-8_12
Zhang, B., Zhang, C., Ma, F., Song, D. (2022). Adaptable Text Matching via Meta-Weight Regulator. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022), pp. 870-879. 11-15 July 2022, Madrid, Spain. CCF A类, DOI: https://doi.org/10.1145/3477495.3531932
Zhang, Y., Liu, Y., Li, Q., Tiwari, P., Wang, B., Li, Y., Pandey, H.M., Zhang, P., Song, D., (2021) CFN: A Complex-valued Fuzzy Network for Sarcasm Detection in Conversations. IEEE Transactions on Fuzzy Systems. Vol 29(12), pp. 3696-3710. December 2021. JCR一区，DOI: https://doi.org/10.1109/TFUZZ.2021.3072492
Zhang, Y., Song, D., Pandey, H. et al. (2021). Learning Interaction Dynamics with an Interactive-LSTM for Conversational Sentiment Analysis. Neural Networks. Vol. 133, January 2021, pp. 40-56. JCR一区， DOI: https://doi.org/10.1016/j.neunet.2020.10.001
Gkoumas, D., Li, Q., Yu, Y., Song, D. (2021): An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis. The 30th International Joint Conference on Artificial Intelligence (IJCAI2021), pp. 1736-1742. 21-26 August 2021. Virtual event. CCF A类, Link: https://www.ijcai.org/proceedings/2021/0239.pdf
Gkoumas, D., Li, Q., Melucci, M., Yu, Y., Song, D. (2021). A Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021), Virtual Event, Feb 2-9, 2021. CCF A类, DOI: https://doi.org/10.1609/aaai.v35i1.16165
Liu, Y., Zhang, Y., Li, Q., Wang, B., Song, D. (2021). What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability. Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021). 7-11 November 2021, Punta Cana, Dominican Republic. CCF B类 (Findings). Link: https://aclanthology.org/2021.findings-emnlp.74/
Ma, F., Zhang, C., Song, D. (2021). Exploiting Position Bias for Robust Aspect Sentiment Classification. Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL2021), pp. 1352-1358. Bangkok, Thailand, August 1-6, 2021. CCF A类 (Findings). Link: https://aclanthology.org/2021.findings-acl.116/
Zhang, C, Li, Q., Hua, L., Song, D. (2021). How does Attention Affect the Model? Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL2021), pp. 256-268. Bangkok, Thailand, August 1-6, 2021. CCF A类 (Findings). Link: https://aclanthology.org/2021.findings-acl.22/
Zhang, Y., Song, D., Li, X., Zhang, P., Wang, P. Rong, L., Yu, G., Wang, B. (2020). A Quantum-Like multimodal network framework for modeling interaction dynamics in multiparty conversational sentiment analysis. Information Fusion. Vol. 61, pp. 14-31, Oct. 2020. JCR一区， DOI: https://doi.org/10.1016/j.inffus.2020.04.003
Uprety, S, Gkoumas, D., Song, D. (2020). A Survey of Quantum Theory Inspired Approaches to Information Retrieval. ACM Computing Surveys. Vol 53(5), Article 98, September 2020. JCR一区，DOI: https://dl.acm.org/doi/10.1145/3402179
Gkoumas, D., Li, Q., Lioma, C., Yu, Y., Song, D. (2020). What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis. Information Fusion, Volume 66, 2021, pp. 184-197. JCR一区，DOI: https://doi.org/10.1016/j.inffus.2020.09.005
Li, X., Zhao, Z., Song, D., Zhang, Y., Pan, J., Wu, L., Huo, J., Niu, C. and Wang, D. (2020). Latent Factor Decoding of Multi-Channel EEG for Emotion Recognition Through Autoencoder-Like Neural Networks. Frontiers in Neuroscience, Vol 14, Article 87, March 2020. JCR二区，DOI: https://doi.org/10.3389/fnins.2020.00087
Jiang, Y., Zhang, P., Gao, H., Song, D. (2020). A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2020), pp. 19-28. Virtual Event, China, July 25-30, 2020. CCF A类
Zhang, C., Li, Q., Hua, L., Song, D. (2020). Assessing the Memory Ability of Recurrent Neural Networks. The 24th European Conference on Artificial Intelligence (ECAI2020). pp. 1658-1665. 10-12 June 2020. Santiago de Compostela, Spain. CCF B类
Zhang, C., Li, Q., Song, D. (2019). Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks. The 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019), pp. 4567-4577. 3-7 November 2019, Hong Kong, China. CCF B类
Zhang, Y., Li, Q., Song, D., Zhang, P., Wang, P. (2019). Quantum-inspired Interactive Networks for Conversational Sentiment Analysis. The 28th International Joint Conference on Artificial Intelligence (IJCAI2019), pp. 5436-5442. 10-16 August 2019, Macau, China. CCF A类
Ma, X., Zhang, P., Zhang, S., Duan, N., Zhou, M., Song, D. (2019). A Tensorized Transformer for Language Modeling. Annual Conference on Neural Information Processing Systems 2019 (NeurIPS 2019), pp. 2229-2239. 8-14 December 2019, Vancouver, BC, Canada. CCF A类
Zhang, L., Zhang, P., Ma, X., Gu, S., Su, Z., Song, D. (2019). A Generalized Language Model in Tensor Space. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), pp. 7450-7458. January 27 – February 1, 2019, Honolulu, Hawaii, USA. CCF A类
Zhang, Y., Song, D., Zhang, P., Wang, P., Li, J., Wang, B. (2018). A Quantum-Inspired Multimodal Sentiment Analysis Framework. Theoretical Computer Science. 752, pp. 21-40. CCF B类，DOI: https://doi.org/10.1016/j.tcs.2018.04.029
Zhang, P., Niu, J., Su, Z., Wang, B., Song, D. (2018). End-to-End Quantum-like Language Models with Application to Question Answering. The 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), pp. 5666-5673. 2-7 February 2018, New Orleans, USA. CCF A类
Zhang, P., Su, Z., Zhang, L., Wang, B., Song, D. (2018). A Quantum Many-body Wave Function Inspired Language Modeling Approach. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), pp. 1303-1312. 22-26 October 2018, Torino, Italy. CCF B类
Zhao, X., Hou, Y., Song, D., and Li, W. (2018) A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 29(5):1608-1621. JCR一区
Li, X., Song, D., Zhang, P., Zhang, Y., Hou, Y., Hu, B. (2018). Exploring EEG Features in Cross-subject Emotion Recognition. Frontiers in Neuroscience. 12, article no. 162. SCI二区
Li, J., Wu, Y., Zhang, P., Song, D., and Wang, B. (2017). Learning to Diversify Web Search Results with a Document Repulsion Model. Information Sciences. Vol. 411, pp. 136-150. JCR二区
Li, J., Zhang, P., Song, D., and Wu, Y. (2017). Understanding an Enriched Multidimensional User Relevance Model by Analyzing Query Logs. Journal of the Association for Information Science and Technology (JASIST). 68(12):2743–2754. CCF B类
Zhang, P., Yu, Q., Hou, Y., Song, D., Li, J., and Hu, B. (2017). A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval. ACM Transactions on Intelligent Systems and Technology (TIST). 8(3), article 46. JCR二区
Zhang, P., Li, J., Wang, B., Zhao, X., Song, D., Hou, Y., and Melucci, M. (2016). A Quantum Query Expansion Approach for Session Search. Entropy, 18(4), article 146. JCR二区
Wang, B., Zhang, P., Li, J., Song, D., Hou, Y., and Shang, Z. (2016). Exploration of Quantum Interference in Document Relevance Judgment Discrepancy. Entropy, 18(4), article 144. JCR二区
Li, J., Zhang, P., Song, D., and Hou, Y. (2016). An Adaptive Contextual Quantum Language Model. Physica A: Statistical Mechanics and its Applications. Vol. 456, pp. 51-67. JCR二区
Zhang, P., Song, D., Wang, J. and Hou, Y. (2014). Bias-variance analysis in estimating true query model for information retrieval. Information Processing & Management. 50(1), pp. 199–217. CCF B类
Clark, M., Ruthven, I., Holt, P., Song, D., and Watt, S. (2014). You Have E-Mail, What Happens Next? Tracking the Eyes for Genre. Information Processing & Management. 50(1), pp. 175–198. CCF B类
Hou, Y., Zhao, X., Song, D., Li, W. (2013). Mining Pure High-order Word Associations via Information Geometry for Information Retrieval. ACM Transactions on Information Systems (TOIS). 31(3), pp. 12:1-12:32. CCF A类
Kruchwitz, U., Lungley, D., Albakour, M-D. and Song, D. (2013). Deriving query suggestions for site search. Journal of American Society for Information Science and Technology (JASIST). 64(10), pp. 1975–1994. CCF B类
Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, D., Dignum, S., Cervino Beresi, U., Fasli, M. and De Roeck, A. (2012). Automatically Structuring Domain Knowledge from Text: a review of current research. Information Processing and Management (IP&M). Vol. 48(3), pp. 552-568. CCF B类
Adeyanju, I., Song, D., De Roeck, A., Albakour, M-D., Kruschwitz, U. and Fasli, M. (2012). Adaptation of the Concept Hierarchy Model with Search Logs for Query Recommendation on Intranets. The 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2012), pp. 5-14.12-16 August 2012, Portland, Oregon, USA. CCF A类
Wang, L., Song, D. and Elyan, E. (2012). Improving Bag-of-visual-Words model with spatial-temporal correlation for video retrieval. The 21st ACM Conference on Information and Knowledge Management (CIKM2012), pp. 1303-1312. 30 October - 1 November 2012, Hawaii, USA. CCF B类
Yan, X., Lau, R.Y.K, Song, D., Li, X. and Ma, J. (2011). Towards a Semantic Granularity Model for Domain Specific Information Retrieval. ACM Transactions on Information Systems (TOIS). Vol. 29 (3), pp. 15:1-15:46. CCF A类
Hou, Y., Zhang, P., Yan, T., Li, W. and Song, D. (2010). Beyond Redundancies: A Metric-Invariant Method for Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering (TKDE). Vol. 22(3), pp. 348-364. CCF A类
Zhu, J., Huang, X., Song, D. and Rueger, S. (2010). Integrating Multiple Document Features in Language Models for Expert Finding. Knowledge and Information Systems (KAIS). Vol. 23(1), pp. 29-54. CCF B类
Zhu, J., Song, D. and Rueger, S. (2009). Integrating Multiple Windows and Document Features for Expert Search. Journal of American Society for Information Science and Technology (JASIST). Vol. 60(4), pp. 694-715. CCF B类
Zhang, P., Hou, Y. and Song, D. (2009). Approximating True Relevance Distribution from a Mixture Model Based on Irrelevance Data. The 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2009), pp. 107-114. 19-23 July 2009, Boston, USA. CCF A类
Lau, R.Y.K, Song, D., Li, Y., Cheung, T. and Hao, J. (2009). Towards A Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 21(6), pp. 800-813. CCF A类
Lau, R.Y.K., Bruza, P.D. and Song, D. (2008). Towards a Belief Revision Based Adaptive and Context Sensitive Information Retrieval System. ACM Transactions on Information Systems (TOIS). Vol. 26 (6), pp. 8:1-8:38. CCF A类
Yan, X., Song, D., and Li, X. (2006). Concept-based Document Readability in Domain Specific Information Retrieval. In Proceedings of the ACM Fifteenth Conference on Information and Knowledge Management (CIKM2006), pp. 540-549. 6-11 November 2006, Arlington, VA, USA. CCF B类
Bai, J., Song, D., Bruza, P.D., Nie, J.Y. and Cao, G. (2005). Query Expansion Using Term Relationships in Language Models for Information Retrieval. In Proceedings of the 14th International ACM Conference on Information and Knowledge Management (CIKM2005), pp. 688-695. 31 October - 05 November, 2005, Bremen, Germany. CCF B类
Lau, R., Bruza, P.D. and Song, D. (2004). Belief Revision for Adaptive Information Retrieval. In Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2004), pp. 130-137. 25-29 July, 2004, Sheffield, United Kingdom. CCF A类
Song, D. and Bruza, P.D. (2003). Towards Context-sensitive Information Inference. Journal of the American Society for Information Science and Technology (JASIST), Vol. 54(4), February 2003, pp. 321-334. CCF B类
Song, D. Bruza P.D. (2001). Discovering Information Flow Using a High Dimensional Conceptual Space. The 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2001), pp. 327-333. 9-13 September 2001, New Orleans, Louisiana, USA. CCF A类
Wong, K.F., Song, D., Bruza, P.D. and Cheng, C.H. (2001). Application of Aboutness to Functional Benchmarking in Information Retrieval. ACM Transactions on Information Systems (TOIS), Vol. 19(4), October 2001, pp. 337-370. CCF A类
Bruza, P.D., Song, D. and Wong, K.F. (2000). Aboutness from a Commonsense Perspective, Journal of the American Society for Information Science and Technology (JASIST), Vol. 51(12), October 2000, pp. 1090-1105. CCF B类
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