| Towards Language-Free Training for Text-to-Image Generation Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 247 | 2022 |
| Bias and fairness in large language models: A survey IO Gallegos, RA Rossi, J Barrow, MM Tanjim, S Kim, F Dernoncourt, T Yu, ... arXiv preprint arXiv:2309.00770, 2023 | 191 | 2023 |
| Understanding and improving recurrent networks for human activity recognition by continuous attention M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu Proceedings of the 2018 ACM International Symposium on Wearable Computers, 56-63, 2018 | 183 | 2018 |
| Footprintid: Indoor pedestrian identification through ambient structural vibration sensing S Pan, T Yu, M Mirshekari, J Fagert, A Bonde, OJ Mengshoel, HY Noh, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 170 | 2017 |
| Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning R Zhang, T Yu, Y Shen, H Jin, C Chen Advances in Neural Information Processing Systems, 15214-15224, 2019 | 153* | 2019 |
| Big data small footprint: The design of a low-power classifier for detecting transportation modes MC Yu, T Yu, SC Wang, CJ Lin, EY Chang Proceedings of the VLDB Endowment 7 (13), 1429-1440, 2014 | 133 | 2014 |
| Semi-supervised convolutional neural networks for human activity recognition M Zeng, T Yu, X Wang, LT Nguyen, OJ Mengshoel, I Lane Big Data (Big Data), 2017 IEEE International Conference on, 522-529, 2017 | 89 | 2017 |
| A Visual Dialog Augmented Interactive Recommender System T Yu, Y Shen, H Jin Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 74 | 2019 |
| Uncovering the disentanglement capability in text-to-image diffusion models Q Wu, Y Liu, H Zhao, A Kale, T Bui, T Yu, Z Lin, Y Zhang, S Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 72 | 2023 |
| Towards Building the Federated GPT: Federated Instruction Tuning J Zhang, S Vahidian, M Kuo, C Li, R Zhang, G Wang, Y Chen arXiv preprint arXiv:2305.05644, 2023 | 68 | 2023 |
| EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval H Ma, H Zhao, Z Lin, A Kale, Z Wang, T Yu, J Gu, S Choudhary, X Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
| Effective string processing and matching for author disambiguation WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ... Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013 | 44 | 2013 |
| Customized nonlinear bandits for online response selection in neural conversation models B Liu, T Yu, I Lane, OJ Mengshoel Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 42 | 2018 |
| Comparison-based Conversational Recommender System with Relative Bandit Feedback Z Xie, T Yu, C Zhao, S Li Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 41 | 2021 |
| Figure Captioning with Reasoning and Sequence-Level Training C Chen, R Zhang, E Koh, S Kim, S Cohen, T Yu, R Rossi, R Bunescu arXiv preprint arXiv:1906.02850, 2019 | 40 | 2019 |
| QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks Z Fang, T Yu, OJ Mengshoel, RK Gupta Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 39 | 2017 |
| Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning T Yu, Y Shen, R Zhang, X Zeng, H Jin Proceedings of the 27th ACM International Conference on Multimedia, 39-47, 2019 | 37 | 2019 |
| Improving Demand Prediction in Bike Sharing System by Learning Global Features M Zeng, T Yu, X Wang, V Su, LT Nguyen, OJ Mengshoel Machine Learning for Large Scale Transportation Systems (LSTS)@ KDD-16, 2016 | 36 | 2016 |
| Few-shot class-incremental learning for named entity recognition R Wang, T Yu, H Zhao, S Kim, S Mitra, R Zhang, R Henao Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 35 | 2022 |
| Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase J Chi, E Owusu, X Yin, T Yu, W Chan, P Tague, Y Tian arXiv preprint arXiv:1812.02863, 2018 | 32 | 2018 |
Ruiyi ZhangAdobe ResearchBestätigte E-Mail-Adresse bei cs.duke.edu
