Seguir
Haochen Liu
Haochen Liu
Fidelity Investments, AI Center of Excellence
Dirección de correo verificada de msu.edu
Título
Citado por
Citado por
Año
Adversarial attacks and defenses in images, graphs and text: A review
H Xu, Y Ma, H Liu, D Deb, H Liu, J Tang, AK Jain
International Journal of Automation and Computing 17 (2), 151-178, 2020
6672020
Self-supervised learning on graphs: Deep insights and new direction
W Jin, T Derr, H Liu, Y Wang, S Wang, Z Liu, J Tang
arXiv preprint arXiv:2006.10141, 2020
1892020
Trustworthy AI: A Computational Perspective
H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu, AK Jain, J Tang
ACM Transactions on Intelligent Systems and Technology, 2021
1762021
Does Gender Matter? Towards Fairness in Dialogue Systems
H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang
COLING 2020, 4403–4416, 2019
1052019
AutoEmb: Automated embedding dimensionality search in streaming recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ...
ICDM 2021, 896-905, 2021
992021
Automated Embedding Size Search in Deep Recommender Systems
H Liu, X Zhao, C Wang, X Liu, J Tang
SIGIR 2020, 2307-2316, 2020
722020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
H Liu, W Wang, Y Wang, H Liu, Z Liu, J Tang
EMNLP 2020, 893-903, 2020
612020
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
Web Conference 2021, 3015-3022, 2021
532021
AutoLoss: Automated Loss Function Search in Recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang
KDD 2021, 3959–3967, 2021
492021
Memory-efficient embedding for recommendations
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
arXiv preprint arXiv:2006.14827, 2020
312020
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
H Liu, W Jin, H Karimi, Z Liu, J Tang
ACL Findings 2021, 74–85, 2021
232021
Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles
J Dacon, H Liu
IC2S2 2021, 2021
232021
Fairly adaptive negative sampling for recommendations
X Chen, W Fan, J Chen, H Liu, Z Liu, Z Zhang, Q Li
Web Conference 2023, 3723–3733, 2023
202023
Say What I Want: Towards the Dark Side of Neural Dialogue Models
H Liu, T Derr, Z Liu, J Tang
arXiv preprint arXiv:1909.06044, 2019
202019
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
GY Huang, J Chen, H Liu, W Fu, W Ding, J Tang, S Yang, G Li, Z Liu
AIED 2020, 269-281, 2020
172020
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations
H Liu, D Tang, J Yang, X Zhao, H Liu, J Tang, Y Cheng
Web Conference 2022, 2048-2057, 2022
142022
MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations
J Liang, X Zhao, M Li, Z Zhang, W Wang, H Liu, Z Liu
Web Conference 2023, 1109-1117, 2023
132023
Effective Representing of Information Network by Variational Autoencoder.
H Li, H Wang, Z Yang, H Liu
IJCAI 2017, 2103-2109, 2017
132017
Chat as expected: Learning to manipulate black-box neural dialogue models
H Liu, Z Wang, T Derr, J Tang
arXiv preprint arXiv:2005.13170, 2020
122020
Toward annotator group bias in crowdsourcing
H Liu, J Thekinen, S Mollaoglu, D Tang, J Yang, Y Cheng, H Liu, J Tang
ACL 2022, 1797–1806, 2021
112021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20