Tong Yu
Orcid: 0000-0002-5991-2050Affiliations:
- Adobe Research, San Jose, CA, USA
- Samsung Research America, Mountain View, CA, USA (former)
- Carnegie Mellon University, PA, USA (former)
- National Taiwan University, Taipei City, Taiwan (former)
- Nanjing University, Software Institute, China (former)
According to our database1,
Tong Yu
authored at least 97 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CoRR, 2024
CoRR, 2024
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
CoRR, 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
CoRR, 2024
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.
CoRR, 2024
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR, 2024
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation.
User Model. User Adapt. Interact., November, 2023
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.
CoRR, 2023
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.
CoRR, 2023
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
CoRR, 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
CoRR, 2023
CoRR, 2023
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Symposium on Multimedia, 2023
Proceedings of the IEEE International Symposium on Multimedia, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022
Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems.
CoRR, 2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
CoRR, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Understanding and improving recurrent networks for human activity recognition by continuous attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018
Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018
Proceedings of the Cloud Computing - CLOUD 2018, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Towards continuous and passive authentication across mobile devices: an empirical study.
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices.
Proceedings of the 8th EAI International Conference on Mobile Computing, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res., 2015
2014
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes.
Proc. VLDB Endow., 2014
J. Mach. Learn. Res., 2014
2013
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013