| Acekg: A large-scale knowledge graph for academic data mining R Wang, Y Yan, J Wang, Y Jia, Y Zhang, W Zhang, X Wang Proceedings of the 27th ACM international conference on information and …, 2018 | 112 | 2018 |
| Fair classification with group-dependent label noise J Wang, Y Liu, C Levy Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 101 | 2021 |
| Are gender-neutral queries really gender-neutral? mitigating gender bias in image search J Wang, Y Liu, XE Wang arXiv preprint arXiv:2109.05433, 2021 | 73 | 2021 |
| Beyond images: Label noise transition matrix estimation for tasks with lower-quality features Z Zhu, J Wang, Y Liu International Conference on Machine Learning, 27633-27653, 2022 | 39 | 2022 |
| Strategic recourse in linear classification Y Chen, J Wang, Y Liu arXiv preprint arXiv:2011.00355 236, 2020 | 34 | 2020 |
| Understanding instance-level impact of fairness constraints J Wang, XE Wang, Y Liu International Conference on Machine Learning, 23114-23130, 2022 | 29 | 2022 |
| Assessing multilingual fairness in pre-trained multimodal representations J Wang, Y Liu, XE Wang arXiv preprint arXiv:2106.06683, 2021 | 28 | 2021 |
| Fairness transferability subject to bounded distribution shift Y Chen, R Raab, J Wang, Y Liu Advances in neural information processing systems 35, 11266-11278, 2022 | 27 | 2022 |
| Jarvis: A neuro-symbolic commonsense reasoning framework for conversational embodied agents K Zheng, K Zhou, J Gu, Y Fan, J Wang, Z Di, X He, XE Wang arXiv preprint arXiv:2208.13266, 2022 | 15 | 2022 |
| Linear classifiers that encourage constructive adaptation Y Chen, J Wang, Y Liu arXiv preprint arXiv:2011.00355, 2020 | 15 | 2020 |
| T2iat: Measuring valence and stereotypical biases in text-to-image generation J Wang, XG Liu, Z Di, Y Liu, XE Wang arXiv preprint arXiv:2306.00905, 2023 | 13 | 2023 |
| Can less be more? when increasing-to-balancing label noise rates considered beneficial Y Liu, J Wang Advances in Neural Information Processing Systems 34, 17467-17479, 2021 | 12 | 2021 |
| Academic reader: An interactive question answering system on academic literatures Y Hong, J Wang, Y Jia, W Zhang, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9855-9856, 2019 | 7 | 2019 |
| Unmasking and improving data credibility: A study with datasets for training harmless language models Z Zhu, J Wang, H Cheng, Y Liu arXiv preprint arXiv:2311.11202, 2023 | 6 | 2023 |
| Strategic classification with a light touch: learning classifiers that incentivize constructive adaptation Y Chen, J Wang, Y Liu arXiv preprint arXiv:2011.00355, 2020 | 4 | 2020 |
| Tendencyrl: Multi-stage discriminative hints for efficient goal-oriented reverse curriculum learning C Wang, J Ding, X Chen, Z Ye, J Wang, Z Cai, C Lu 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 4 | 2019 |
| Learning to Read Academic Papers Y Hong, J Wang, X Zhang, Z Wu Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018 | 2 | 2018 |
| Procedural fairness through decoupling objectionable data generating components Z Tang, J Wang, Y Liu, P Spirtes, K Zhang arXiv preprint arXiv:2311.14688, 2023 | 1 | 2023 |
| Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment Z Zhang, J Wang, XE Wang arXiv preprint arXiv:2305.03510, 2023 | 1 | 2023 |
| Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach J Pang, J Wang, Z Zhu, Y Yao, C Qian, Y Liu arXiv preprint arXiv:2402.12789, 2024 | | 2024 |
