Shiwan Zhao

According to our database1, Shiwan Zhao authored at least 47 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

Fine-grained Disentangled Representation Learning for Multimodal Emotion Recognition.
CoRR, 2023

kNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels.
CoRR, 2023

RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting.
CoRR, 2023

Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition.
CoRR, 2023

Better Zero-Shot Reasoning with Role-Play Prompting.
CoRR, 2023

Uncertainty in Natural Language Processing: Sources, Quantification, and Applications.
CoRR, 2023

MADI: Inter-Domain Matching and Intra-Domain Discrimination for Cross-Domain Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PromptRank: Unsupervised Keyphrase Extraction Using Prompt.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
When Pairs Meet Triplets: Improving Low-Resource Captioning via Multi-Objective Optimization.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Language Resource Efficient Learning for Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Multi-Label Few-Shot Learning for Aspect Category Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning.
CoRR, 2020

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Improving Captioning for Low-Resource Languages by Cycle Consistency.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks.
CoRR, 2018

Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images.
CoRR, 2018

Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2016
Boosting Recommendation in Unexplored Categories by User Price Preference.
ACM Trans. Inf. Syst., 2016

2014
Does product recommendation meet its waterloo in unexplored categories?: no, price comes to help.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2012
Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship.
Proceedings of the Recommender Systems for the Social Web, 2012

2011
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites.
ACM Trans. Intell. Syst. Technol., 2011

Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Smarter social collaboration at IBM research.
Proceedings of the 2011 ACM Conference on Computer Supported Cooperative Work, 2011

2010
Multi-label Classification without the Multi-label Cost.
Proceedings of the SIAM International Conference on Data Mining, 2010

Who is talking about what: social map-based recommendation for content-centric social websites.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Temporal recommendation on graphs via long- and short-term preference fusion.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2008
Boosting collaborative filtering based on statistical prediction errors.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Improved recommendation based on collaborative tagging behaviors.
Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008

2004
A framework for device capability on demand and virtual device user experience.
IBM J. Res. Dev., 2004


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