| Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM Y Ma, H Peng, E Cambria Thirty-Second AAAI Conference on Artificial Intelligence, 5876-5883, 2018 | 755 | 2018 |
| Technical analysis and sentiment embeddings for market trend prediction A Picasso, S Merello, Y Ma, L Oneto, E Cambria Expert Systems with Applications 135, 60-70, 2019 | 388 | 2019 |
| Sentic LSTM: a hybrid network for targeted aspect-based sentiment analysis Y Ma, H Peng, T Khan, E Cambria, A Hussain Cognitive Computation 10 (4), 639-650, 2018 | 362 | 2018 |
| A survey on empathetic dialogue systems Y Ma, KL Nguyen, FZ Xing, E Cambria Information Fusion 64, 50-70, 2020 | 298 | 2020 |
| Label Embedding for Zero-shot Fine-grained Named Entity Typing Y Ma, E Cambria, S Gao 26th International Conference on Computational Linguistics (COLING), 2016 | 187 | 2016 |
| Learning Multi-grained Aspect Target Sequence for Chinese Sentiment Analysis H Peng, Y Ma, Y Li, E Cambria Knowledge-based Systems, 2018 | 177 | 2018 |
| Mossformer2: Combining transformer and rnn-free recurrent network for enhanced time-domain monaural speech separation S Zhao, Y Ma, C Ni, C Zhang, H Wang, TH Nguyen, K Zhou, JQ Yip, D Ng, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 74 | 2024 |
| Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning H Peng, Y Ma, S Poria, Y Li, E Cambria Information Fusion 70, 88-99, 2021 | 66 | 2021 |
| A Neural Model for Method Name Generation from Functional Description S Gao, C Chen, Z Xing, Y Ma, W Song, SW Lin SANER, 2019 | 57 | 2019 |
| Deep Heterogeneous Autoencoder for Collaborative Filtering T Li, Y Ma, J Xu, B Stenger, C Liu, Y Hirate International Conference on Data Mining, 2018 | 49 | 2018 |
| Ensemble of technical analysis and machine learning for market trend prediction AP Ratto, S Merello, L Oneto, Y Ma, L Malandri, E Cambria 2018 IEEE symposium series on computational intelligence (ssci), 2090-2096, 2018 | 40 | 2018 |
| Neural Named Entity Boundary Detection J Li, A Sun, Y Ma IEEE Transactions on Knowledge and Data Engineering, 2020, 2020 | 34 | 2020 |
| De’hubert: Disentangling noise in a self-supervised model for robust speech recognition D Ng, R Zhang, JQ Yip, Z Yang, J Ni, C Zhang, Y Ma, C Ni, ES Chng, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 29 | 2023 |
| Contrastive speech mixup for low-resource keyword spotting D Ng, R Zhang, JQ Yip, C Zhang, Y Ma, TH Nguyen, C Ni, ES Chng, B Ma ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 19 | 2023 |
| Term Ranker: A Graph-Based Re-Ranking Approach. MT Khan, Y Ma, J Kim FLAIRS, 310-315, 2016 | 19 | 2016 |
| Popularity prediction on vacation rental websites Y Li, S Wang, Y Ma, Q Pan, E Cambria Neurocomputing 412, 372-380, 2020 | 18 | 2020 |
| Investigating timing and impact of news on the stock market S Merello, AP Ratto, Y Ma, O Luca, E Cambria 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1348-1354, 2018 | 18 | 2018 |
| Multimodal sentiment analysis on unaligned sequences via holographic embedding Y Ma, B Ma ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 16 | 2022 |
| Emotional dimension control in language model-based text-to-speech: Spanning a broad spectrum of human emotions K Zhou, Y Zhang, S Zhao, H Wang, Z Pan, D Ng, C Zhang, C Ni, Y Ma, ... arXiv preprint arXiv:2409.16681, 2024 | 14 | 2024 |
| Feature-enriched word embeddings for named entity recognition in open-domain conversations Y Ma, J Kim, B Bigot, TM Khan IEEE International Conference on Acoustics, Speech and Signal Processing …, 2016 | 13 | 2016 |
Erik CambriaProfessor @ NTU CCDS & Visiting @ MIT Media LabVerified email at media.mit.edu
