Haochen Liu
Haochen Liu
Fidelity Investments, AI Center of Excellence
Verified email at
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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
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
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
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
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
Automated Embedding Size Search in Deep Recommender Systems
H Liu, X Zhao, C Wang, X Liu, J Tang
SIGIR 2020, 2307-2316, 2020
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
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
AutoLoss: Automated Loss Function Search in Recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang
KDD 2021, 3959–3967, 2021
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
Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles
J Dacon, H Liu
IC2S2 2021, 2021
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
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
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
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
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
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
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
Effective Representing of Information Network by Variational Autoencoder.
H Li, H Wang, Z Yang, H Liu
IJCAI 2017, 2103-2109, 2017
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
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