Yiping Song
Orcid: 0000-0002-3277-6351
According to our database1,
Yiping Song
authored at least 34 papers
between 2015 and 2024.
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Bibliography
2024
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification.
CoRR, 2024
2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the American Control Conference, 2023
2022
A multi-view method of scientific paper classification via heterogeneous graph embeddings.
Scientometrics, 2022
Learning to classify relations between entities from noisy data - A meta instance reweighting approach.
Expert Syst. Appl., 2022
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.
Proceedings of the International Joint Conference on Neural Networks, 2022
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation.
Proceedings of the Database Systems for Advanced Applications, 2022
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications.
CoRR, 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases.
Proceedings of the AMIA 2020, 2020
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
eSHAFTS: Integrated and graphical drug design software based on 3D molecular similarity.
J. Comput. Chem., 2019
2018
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning.
CoRR, 2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems.
CoRR, 2016
Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Proceedings of the Interspeech 2016, 2016
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation.
Proceedings of the COLING 2016, 2016
"Shall I Be Your Chat Companion?": Towards an Online Human-Computer Conversation System.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015