Jialu Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Linear Classification

Machine Learning

Data Mining Processes

Top Venues

Comput. Chem. Eng.

Publications

Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang
Procedural Fairness Through Decoupling Objectionable Data Generating Components. ICLR (2024)
Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization. CoRR (2024)
Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR (2024)
Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR (2024)
Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. ICLR (2024)
Pingjun Pan, Jialu Wang, Tingting Zhou, Wenyu Yang, Hongxiang Chen
A User-State Based Interest Transfer Network for Cross-Domain Recommendation. WWW (Companion Volume) (2024)
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 (2024)
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 (2024)
Yatong Chen, Jialu Wang, Yang Liu
Learning to Incentivize Improvements from Strategic Agents. Trans. Mach. Learn. Res. 2023 (2023)
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)
Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. CoRR (2023)
Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang
Procedural Fairness Through Decoupling Objectionable Data Generating Components. CoRR (2023)
Zhen Zhang, Jialu Wang, Xin Eric Wang
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment. EMNLP (Findings) (2023)
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)
Zhen Zhang, Jialu Wang, Xin Eric Wang
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment. CoRR (2023)
Elvis A. Eugene, Kyla D. Jones, Xian Gao, Jialu Wang, Alexander W. Dowling
Learning and optimization under epistemic uncertainty with Bayesian hybrid models. Comput. Chem. Eng. 179 (2023)
Yingzhou Lu, Kosaku Sato, Jialu Wang
Deep Learning based Multi-Label Image Classification of Protest Activities. CoRR (2023)
Jialu Wang, Ping Li, Feifang Hu
A/B Testing in Network Data with Covariate-Adaptive Randomization. ICML (2023)
Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Wang
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. ACL (Findings) (2023)
Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. CoRR (2023)
Jialu Wang, Xin Eric Wang, Yang Liu
Understanding Instance-Level Impact of Fairness Constraints. CoRR (2022)
Jialu Wang, Xin Eric Wang, Yang Liu
Understanding Instance-Level Impact of Fairness Constraints. ICML (2022)
Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu
Fairness Transferability Subject to Bounded Distribution Shift. NeurIPS (2022)
Zhaowei Zhu, Jialu Wang, Yang Liu
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. ICML (2022)
Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu
Fairness Transferability Subject to Bounded Distribution Shift. CoRR (2022)
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 (2022)
Zhaowei Zhu, Jialu Wang, Yang Liu
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR (2022)
Jialu Wang, Yang Liu, Xin Wang
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. ACL (Findings) (2022)
Yang Liu, Jialu Wang
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. NeurIPS (2021)
Jialu Wang, Yang Liu, Xin Eric Wang
Assessing Multilingual Fairness in Pre-trained Multimodal Representations. CoRR (2021)
Jialu Wang, Yang Liu, Xin Eric Wang
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. CoRR (2021)
Yang Liu, Jialu Wang
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial. CoRR (2021)
Jialu Wang, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Niki Trigon, Andrew Markham
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather. CoRR (2021)
Jialu Wang, Yang Liu, Caleb C. Levy
Fair Classification with Group-Dependent Label Noise. FAccT (2021)
Jialu Wang, Yang Liu, Xin Eric Wang
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search. EMNLP (1) (2021)
Yatong Chen, Jialu Wang, Yang Liu
Strategic Recourse in Linear Classification. CoRR (2020)
Jialu Wang, Yang Liu, Caleb C. Levy
Fair Classification with Group-Dependent Label Noise. CoRR (2020)
Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang
Academic Reader: An Interactive Question Answering System on Academic Literatures. AAAI (2019)
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)
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) (2019)
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)
Jialu Wang, Zongqing Lu, Qingmin Liao
Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human. ICIP (2019)
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)
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 (2018)
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 (2017)
Jiangtao Xu, Jialu Wang, Minshun Wu, Ruizhi Zhang
An accurate switched-capacitor heart resistance measurement for cardiac pacemaker. BioCAS (2016)