1. Zhuorui Liu, Chen Zhang, Dawei Song (2024). How Speculative Can Speculative Decoding Be? The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 20-25 May, 2024. In press. CCF B类
2. Chen Zhang, Yang Yang, Qiuchi Li, Jingang Wang, Dawei Song (2024). Task-agnostic Distillation of Encoder-Decoder Language Models. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy, 20-25 May, 2024. In press. CCF B类
3. Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Jing Qin, Qiuchi Li (2023). CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations. The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Datasets and Benchmarks Track. CCF A类, Link: https://papers.nips.cc/paper_files/paper/2023/hash/3be60b4a739b95a07a944a1a2c41e05e-Abstract-Datasets_and_Benchmarks.html
4. Zhang, Hanqing; Song, Haolin; Li, Shaoyu, Zhou, Ming; Song, Dawei (2023). A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models. ACM Computing Surveys. Early Access (August 2023). JCR一区, DOI: https://doi.org/10.1145/3617680
5. Liu, Yaochen; Li, Qiuchi; Wang, Benyou; Zhang, Yazhou; Song, Dawei. (2023). A Survey of Quantum-Cognitively Inspired Sentiment Analysis Models. ACM Computing Surveys. 56(1), Article 15, pp. 1-37. JCR一区, DOI: https://doi.org/10.1145/3604550
6. Liu, Yaochen; Zhang, Yazhou; Song, Dawei (2023). A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis. IEEE Transactions on Affective Computing. Early access (May 2023). JCR一区, DOI: https://doi.org/10.1109/TAFFC.2023.3279145
7. Zhang, Chen; Yang Yang; Liu, Jiahao; Wang, Jingang; Xian, Yunsen; Wang, Benyou; Song, Dawei (2023) Lifting the Curse of Capacity Gap in Distilling Language Models. The 61st Annual Meeting of the Association for Computational Linguistics (ACL2023). pp. 4535-4553. Toronto, Canada, July 2023. CCF A类, DOI: https://aclanthology.org/2023.acl-long.249
8. Zhang, Yazhou; Wang, Jinglin; Liu, Yaochen; Rong, Lu; Zheng, Qian; Song, Dawei; Tiwari, Prayag; Qin, Jing (2023). A Multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations. Information Fusion , Vol. 93, pp. 282-301 (May 2023). JCR一区，DOI: https://doi.org/10.1016/j.inffus.2023.01.005
9. Zhang, Yazhou; Jia, Ao; Wang, Bo; Zhang, Peng; Zhao, Dongming; Li, Pu; Hou, Yuexian; Jin, Xiaojia; Song, Dawei; Qin, Jing (2023). M3GAT: A Multi-Modal Multi-Task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition. ACM Transactions on Information Systems. Vol. 42(1), Article 13, pp. 1-32, August 2023. CCF A类, DOI: https://doi.org/10.1145/3593583
10. Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., et al. (2022). EEG based Emotion Recognition: A Tutorial and Review. ACM Computing Surveys. Vol. 55(4), Article 79, pp. 1-51, April 2023. JCR一区, DOI: https://doi.org/10.1145/3524499
11. Zhang, H., Song, D. (2022). Towards Contrastive Context-Aware Conversational Emotion Recognition. IEEE Transactions on Affective Computing. 13(4), 1879-1891, October 2022. JCR一区, DOI: https://doi.org/10.1109/TAFFC.2022.3212994
12. 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
13. Zhang, Peng; Hui, Wenjie; Wang, Benyou; Zhao, Donghao; Song, Dawei; Lioma, Christina; Simonsen, Jakob Grue (2022). Complex-valued Neural Network-based Quantum Language Models. ACM Transactions on Information Systems. Vol. 40(4), pp. 84:1-84:31. March 2022. CCF A类, DOI: https://doi.org/10.1145/3505138
14. Zhang, B., Zhang, C., 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://dl.acm.org/doi/10.1145/3477495.3531932
15. 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) , pp. 3298-3312. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.217
16. 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) , pp. 3904-3915. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.258
17. 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) , pp. 11033-11047. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.758
18. Hanqing Zhang and Dawei Song (2022). Controlled Text Generation via Discriminator Cooperative Unlikelihood Prompt Tuning. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP2022) , pp. 3392-3406. Abu Dhabi, United Arab Emirates, 7-11 December 2022. CCF B类, Link: https://aclanthology.org/2022.emnlp-main.223
19. Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu and Dawei Song. 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
20. Ao Jia, Yu He, Yazhou Zhang, Sagar Uprety, Dawei Song, Christina Lioma (2022). Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding. 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 B类, Link: https://aclanthology.org/2022.naacl-main.108
21. 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
22. 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
23. 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, Link: https://arxiv.org/abs/2101.04406
24. 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. Link: https://aclanthology.org/2021.findings-acl.116
25. 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. Link: https://aclanthology.org/2021.findings-acl.22
26. 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), pp. 871-880. 7-11 November 2021, Punta Cana, Dominican Republic. Link: https://aclanthology.org/2021.findings-emnlp.74
27. 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
28. 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
29. 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
30. 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
31. Jiang, Y., Zhang, P., Gao, H., Song, D. (2020). A Quantum Interference Inspired Neural Matching Model for Ad-hoc Retrieval. T he 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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 (SIGIR 2001) , pp. 327-333. 9-13 September 2001, New Orleans, Louisiana, USA. CCF A类
67. 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
68. 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