I am now a senior algorithm engineer with the speech lab of Alibaba DAMO Academy, Singapore.
Ma, Yukun, Khanh Linh Nguyen, Frank Z. Xing, and Erik Cambria. “A Survey on Empathetic Dialogue Systems.” Information Fusion (2020).
Jing Li, Aixin Sun, Yukun Ma. “Neural Named Entity Boundary Detection.” IEEE Transactions on Knowledge and Data Engineering (2020).
Yukun Ma, Haiyun Peng, Tahir Khan, Erik Cambria, and Amir Hussain. Sentic LSTM: a hybrid network for targeted aspect-based sentiment analysis. Cognitive Computation, 10(4), 639-650.
Haiyun Peng, Yukun Ma, Yang Li, and Erik Cambria. “Learning multi-grained aspect target sequence for Chinese sentiment analysis.” Knowledge-Based Systems 148 (2018): 167-176.
Jia Qi Yip, Tuan Truong, Dianwen Ng, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Eng Siong Chng, Bin Ma. “ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention”. To appear in Proceedings of the International Conference on Speech and Signal Processing (INTERSPEECH 2023)
Zhao Yang, Dianwen Ng, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng. “A Unified Recognition and Correction Model under Noisy and Accent Speech Conditions”. To appear in Proceedings of the International Conference on Speech and Signal Processing (INTERSPEECH 2023)
Dianwen Ng, Chong Zhang, Ruixi Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Shengkui Zhao, Qian Chen, Wen Wang, Eng Siong Chng, Bin Ma. “Adapter-tuning with Effective Token-dependent Representation Shift for Automatic Speech Recognition”. To appear in Proceedings of the International Conference on Speech and Signal Processing (INTERSPEECH 2023)
Zhao Yang, Dianwen Ng, Xizhe Li, Chong Zhang, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Jizhong Zhao, Bin Ma, Eng Siong Chng. “Dual-Memory Multi-Modal Learning for Continual Spoken Keyword Spotting with Confidence Selection and Diversity Enhancement”. To appear in Proceedings of the International Conference on Speech and Signal Processing (INTERSPEECH 2023)
Zhao Yang, Dianwen Ng, Chong Zhang, Xiao Fu, Rui Jiang, Wei Xi, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma, Jizhong Zhao. “Dual Acoustic Linguistic Self-supervised Representation Learning for Cross-Domain Speech Recognition”. To appear in Proceedings of the International Conference on Speech and Signal Processing (INTERSPEECH 2023)
Yukun Ma, Trung Hieu Nguyen, Jinjie Ni, Wen Wang, Qian Chen, Chong Zhang, Bin Ma. “Auxiliary Pooling Layer For Spoken Language Understanding”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)
Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria. “Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)
Yukun Ma, Bin Ma. “Multimodal sentiment analysis on unaligned sequences via holographic embedding”. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
Yukun Ma, Patrick H. Chen* and Cho-Jui Hsieh. “MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model” to appear in Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019). [Equal Contribution]
Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger and Yu Hirate. “Learning Classifiers on Positive and Unlabeled Data with Policy Gradient”, to appear in The 19th IEEE International Conference on Data Mining (ICDM 2019)
Tianyu Li, Yukun Ma, Jiu Xu, Bjorn Stenger, Chen Liu, and Yu Hirate. Deep Heterogeneous Autoencoders for Collaborative Filtering. In 2018 IEEE International Conference on Data Mining (ICDM 2018) (pp. 1164-1169). IEEE.
Yukun Ma, Haiyun Peng, and Erik Cambria. “Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive LSTM.” Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018). 2018.
Yukun Ma, Erik Cambria, and Sa Gao. “Label embedding for zero-shot fine-grained named entity typing.” In the 26th International Conference on Computational Linguistics: Technical Papers (COLING 2016), pp. 171-180. 2016.