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Jialu Wang
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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
1112018
Fair classification with group-dependent label noise
J Wang, Y Liu, C Levy
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
992021
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
672021
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
392022
Strategic recourse in linear classification
Y Chen, J Wang, Y Liu
arXiv preprint arXiv:2011.00355 236, 2020
332020
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
282022
Assessing multilingual fairness in pre-trained multimodal representations
J Wang, Y Liu, XE Wang
arXiv preprint arXiv:2106.06683, 2021
282021
Understanding instance-level impact of fairness constraints
J Wang, XE Wang, Y Liu
International Conference on Machine Learning, 23114-23130, 2022
252022
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
142023
Linear classifiers that encourage constructive adaptation
Y Chen, J Wang, Y Liu
arXiv preprint arXiv:2011.00355, 2020
132020
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
122022
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
122021
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
72019
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
52023
Strategic classification with a light touch: learning classifiers that incentivize constructive adaptation
Y Chen, J Wang, Y Liu
arXiv preprint arXiv:2011.00355, 2020
42020
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
32019
Learning to Read Academic Papers
Y Hong, J Wang, X Zhang, Z Wu
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence …, 2018
22018
Procedural Fairness Through Decoupling Objectionable Data Generating Components
Z Tang, J Wang, Y Liu, P Spirtes, K Zhang
arXiv preprint arXiv:2311.14688, 2023
12023
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
12023
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
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