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Jialu Wang
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2020 – today
- 2024
- [j5]Jialu Wang
, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling
Measure this, not that: Optimizing the cost and model-based information content of measurements. Comput. Chem. Eng. 189: 108786 (2024) - [c21]Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang:
Procedural Fairness Through Decoupling Objectionable Data Generating Components. ICLR 2024 - [c20]Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu:
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. ICLR 2024 - [c19]Pingjun Pan
A User-State Based Interest Transfer Network for Cross-Domain Recommendation. WWW (Companion Volume) 2024: 662-665 - [i21]Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu:
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR abs/2402.12789 (2024) - [i20]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization. CoRR abs/2403.15272 (2024) - [i19]Usman Gohar
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR abs/2406.06736 (2024) - [i18]Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling:
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements. CoRR abs/2406.09557 (2024) - [i17]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
MambaLoc: Efficient Camera Localisation via State Space Model. CoRR abs/2408.09680 (2024) - 2023
- [j4]Elvis A. Eugene, Kyla D. Jones
Learning and optimization under epistemic uncertainty with Bayesian hybrid models. Comput. Chem. Eng. 179: 108430 (2023) - [j3]Yatong Chen, Jialu Wang, Yang Liu:
Learning to Incentivize Improvements from Strategic Agents. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. ACL (Findings) 2023: 2560-2574 - [c17]Ruming Kang, Ke Zhang, Yali Zhang, Yalin Qian, Zi Wang, Jialu Wang:
Fault diagnosis of new energy vehicle transmission system based on BiLSTM-1DCNN combined model. SAFEPROCESS 2023: 1-6 - [c16]Zhen Zhang, Jialu Wang, Xin Eric Wang:
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment. EMNLP (Findings) 2023: 7258-7268 - [c15]Jialu Wang, Ping Li, Feifang Hu:
A/B Testing in Network Data with Covariate-Adaptive Randomization. ICML 2023: 35949-35969 - [c14]Jialu Wang, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Conditions. IROS 2023: 3335-3342 - [i16]Yingzhou Lu, Kosaku Sato, Jialu Wang:
Deep Learning based Multi-Label Image Classification of Protest Activities. CoRR abs/2301.04212 (2023) - [i15]Zhen Zhang, Jialu Wang, Xin Eric Wang:
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment. CoRR abs/2305.03510 (2023) - [i14]Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. CoRR abs/2306.00905 (2023) - [i13]Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu:
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. CoRR abs/2311.11202 (2023) - [i12]Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang:
Procedural Fairness Through Decoupling Objectionable Data Generating Components. CoRR abs/2311.14688 (2023) - 2022
- [c13]Jialu Wang, Yang Liu, Xin Eric Wang:
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. ACL (Findings) 2022: 2681-2695 - [c12]Jialu Wang, Xin Eric Wang, Yang Liu:
Understanding Instance-Level Impact of Fairness Constraints. ICML 2022: 23114-23130 - [c11]Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. ICML 2022: 27633-27653 - [c10]Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. NeurIPS 2022 - [i11]Zhaowei Zhu, Jialu Wang, Yang Liu:
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR abs/2202.01273 (2022) - [i10]Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu:
Fairness Transferability Subject to Bounded Distribution Shift. CoRR abs/2206.00129 (2022) - [i9]Jialu Wang, Xin Eric Wang, Yang Liu:
Understanding Instance-Level Impact of Fairness Constraints. CoRR abs/2206.15437 (2022) - [i8]Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang:
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. CoRR abs/2208.13266 (2022) - 2021
- [c9]Jialu Wang, Yang Liu, Xin Eric Wang:
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. EMNLP (1) 2021: 1995-2008 - [c8]Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. FAccT 2021: 526-536 - [c7]Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. NeurIPS 2021: 17467-17479 - [i7]Jialu Wang, Yang Liu, Xin Eric Wang:
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. CoRR abs/2106.06683 (2021) - [i6]Yang Liu, Jialu Wang:
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. CoRR abs/2107.05913 (2021) - [i5]Jialu Wang, Yang Liu, Xin Eric Wang:
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. CoRR abs/2109.05433 (2021) - [i4]Jialu Wang, Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Niki Trigon, Andrew Markham:
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather. CoRR abs/2112.02469 (2021) - 2020
- [i3]Yatong Chen, Jialu Wang, Yang Liu:
Strategic Recourse in Linear Classification. CoRR abs/2011.00355 (2020) - [i2]Jialu Wang, Yang Liu, Caleb C. Levy:
Fair Classification with Group-Dependent Label Noise. CoRR abs/2011.00379 (2020)
2010 – 2019
- 2019
- [j2]Xiaobo Tan, Ji Tang, Liting Yu, Jialu Wang:
A New Energy-Efficient and Fault-Tolerant Evolution Model for Large-Scale Wireless Sensor Networks Based on Complex Network Theory. Int. J. Distributed Syst. Technol. 10(3): 21-36 (2019) - [c6]Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang:
Academic Reader: An Interactive Question Answering System on Academic Literatures. AAAI 2019: 9855-9856 - [c5]Bo Chen, Kai Cong, Zhenkun Yang, Qin Wang, Jialu Wang, Li Lei, Fei Xie:
End-to-End Concolic Testing for Hardware/Software Co-Validation. ICESS 2019: 1-8 - [c4]Jialu Wang, Zongqing Lu, Qingmin Liao:
Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human. ICIP 2019: 330-334 - [c3]Chen Wang, Junfeng Ding, Xiangyu Chen, Zelin Ye, Jialu Wang, Ziruo Cai, Cewu Lu:
TendencyRL: Multi-stage Discriminative Hints for Efficient Goal-Oriented Reverse Curriculum Learning. IROS 2019: 3474-3480 - 2018
- [c2]Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang:
AceKG: A Large-scale Knowledge Graph for Academic Data Mining. CIKM 2018: 1487-1490 - [i1]Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang:
AceKG: A Large-scale Knowledge Graph for Academic Data Mining. CoRR abs/1807.08484 (2018) - 2017
- [j1]Jie Zhang, Hong Zhang, Jiangtao Xu, Yang Zhao, Jia Li, Guoyu Hu, Jialu Wang, Ruizhi Zhang, Yong Lian
A low energy ASIC for triple-chamber cardiac pacemakers with contact resistance measurement. Microelectron. J. 60: 65-74 (2017) - 2016
- [c1]Jiangtao Xu, Jialu Wang, Minshun Wu, Ruizhi Zhang:
An accurate switched-capacitor heart resistance measurement for cardiac pacemaker. BioCAS 2016: 488-491
Coauthor Index
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