Haochen Liu

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Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Zitao LiuJinan University, Guangzhou, ChinaVerified email at jnu.edu.cn
Wenqi FANAssistant Professor, The Hong Kong Polytechnic UniversityVerified email at my.cityu.edu.hk
Anil K. JainMichigan State UniversityVerified email at cse.msu.edu
Yiqi WangMichigan State UniversityVerified email at msu.edu
Tyler DerrVanderbilt UniversityVerified email at vanderbilt.edu
Yao MaAssistant Professor of Computer Science, Rensselaer Polytechnic InstituteVerified email at rpi.edu
Han XuPhD Student, Michigan State UniversityVerified email at msu.edu
Wei JinAssistant Professor, Emory UniversityVerified email at emory.edu
Jamell DaconAssistant Professor, Morgan State UniversityVerified email at morgan.edu
Yaxin LiMichigan State UniversityVerified email at msu.edu
Xiaorui LiuAssistant Professor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu
Wentao WangMichigan State UniversityVerified email at msu.edu
Hamid KarimiUtah State University (Assistant Professor)Verified email at usu.edu
Zhenglu YangNankai University, ProfessorVerified email at nankai.edu.cn
Zhiwei WangMichigan State UniversityVerified email at linkedin.com
Xiangyu ZhaoCity University of Hong KongVerified email at cityu.edu.hk
Sinem Mollaoglu KorkmazMichigan State UniversityVerified email at msu.edu

Haochen Liu

Fidelity Investments, AI Center of Excellence

Verified email at msu.edu - Homepage

Trustworthy AI Natural Language Processing Recommendations AI in Education


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	579	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	167	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	122	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	91	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	86	2021
Automated Embedding Size Search in Deep Recommender Systems H Liu, X Zhao, C Wang, X Liu, J Tang SIGIR 2020, 2307-2316, 2020	62	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	58	2020
AutoLoss: Automated Loss Function Search in Recommendations X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang KDD 2021, 3959–3967, 2021	42	2021
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	42	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	28	2020
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	21	2021
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	19	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	15	2020
Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles J Dacon, H Liu IC2S2 2021, 2021	13	2021
Effective Representing of Information Network by Variational Autoencoder. H Li, H Wang, Z Yang, H Liu IJCAI 2017, 2103-2109, 2017	13	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	12	2020
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	8	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	8	2022
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	5	2023
Personalized Multimodal Feedback Generation in Education H Liu, Z Liu, Z Wu, J Tang COLING 2020, 1826–1840, 2020	4	2020

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