Ruocheng Guo

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Huan LiuRegents Professor, Arizona State UniversityEmail yang diverifikasi di asu.edu
Lu ChengAssistant Professor, UIC CSEmail yang diverifikasi di uic.edu
Jundong LiAssistant Professor, University of VirginiaEmail yang diverifikasi di virginia.edu
Paulo ShakarianArizona State UniversityEmail yang diverifikasi di asu.edu
Elham ShaabaniWalmart LabsEmail yang diverifikasi di asu.edu
Abhinav BhatnagarArizona State UniversityEmail yang diverifikasi di asu.edu
Ashkan AlealiArizona State UniversityEmail yang diverifikasi di asu.edu
Zhen TanPh.D. at Arizona State UniversityEmail yang diverifikasi di asu.edu
Jing MaCase Western Reserve UniversityEmail yang diverifikasi di case.edu
Yang LiuComputer Science and Engineering, UC Santa CruzEmail yang diverifikasi di ucsc.edu
K. Selcuk CandanProfessor of Computer Science and Engineering, Arizona State UniversityEmail yang diverifikasi di asu.edu
Jean-Francois TonByteDance ResearchEmail yang diverifikasi di bytedance.com
Raha MoraffahAssistant Professor of Computer Science, WPIEmail yang diverifikasi di wpi.edu
Aidong Zhang, Fellow of ACM, IEEE, a...Thomas M. Linville Professor of Computer Science, University of VirginiaEmail yang diverifikasi di virginia.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityEmail yang diverifikasi di northwestern.edu
Ghazaleh BeigiPh.D. Student at Arizona State UniversityEmail yang diverifikasi di asu.edu
Kai ShuAssistant Professor of Computer Science, Emory UniversityEmail yang diverifikasi di emory.edu
Mansooreh KaramiMicrosoftEmail yang diverifikasi di microsoft.com
Maolin WangCity University of Hong KongEmail yang diverifikasi di my.cityu.edu.hk
Paras ShethPhD student, Arizona State UniversityEmail yang diverifikasi di asu.edu

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Ruocheng Guo

ByteDance Research, London

Email yang diverifikasi di bytedance.com - Beranda

Causal Machine Learning Trustworthy AI LLMs Data Mining


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
A survey of learning causality with data: Problems and methods R Guo, L Cheng, J Li, PR Hahn, H Liu ACM Computing Surveys (CSUR) 53 (4), 1-37, 2020	535	2020
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Y Liu, Y Yao, JF Ton, X Zhang, R Guo, H Cheng, Y Klochkov, MF Taufiq, ... arXiv preprint arXiv:2308.05374, 2023	276	2023
Causal Interpretability for Machine Learning--Problems, Methods and Evaluation R Moraffah, M Karami, R Guo, A Raglin, H Liu ACM SIGKDD Explorations Newsletter, 2020	271	2020
Learning Individual Causal Effects from Networked Observational Data R Guo, J Li, H Liu Proceedings of the 13th ACM International Conference on Web Search and Data …, 2020	134	2020
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network L Cheng, R Guo, Y Silva, D Hall, H Liu Proceedings of the 2019 SIAM International Conference on Data Mining, 2019	116	2019
Large language models for data annotation: A survey Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ... arXiv preprint arXiv:2402.13446, 2024	108	2024
Learning Fair Node Representations with Graph Counterfactual Fairness J Ma, R Guo, M Wan, L Yang, A Zhang, J Li Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022	98	2022
The independent cascade and linear threshold models P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo, P Shakarian, ... Diffusion in social networks, 35-48, 2015	97	2015
Privacy-aware recommendation with private-attribute protection using adversarial learning G Beigi, A Mosallanezhad, R Guo, H Alvari, A Nou, H Liu Proceedings of the 13th International Conference on Web Search and Data …, 2020	92	2020
Diffusion in social networks P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo Springer International Publishing, 2015	82	2015
Causal understanding of fake news dissemination on social media L Cheng, R Guo, K Shu, H Liu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	78	2021
Evaluation methods and measures for causal learning algorithms L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu IEEE Transactions on Artificial Intelligence 3 (6), 924-943, 2022	71	2022
Graph Few-shot Class-incremental Learning Z Tan, K Ding, R Guo, H Liu Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022	69	2022
CLEAR: Generative Counterfactual Explanations on Graphs J Ma, R Guo, S Mishra, A Zhang, J Li Advances in Neural Information Processing Systems (NeurIPS), 2022	65	2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations M Li, X Zhao, C Lyu, M Zhao, R Wu, R Guo International Joint Conference on Artificial Intelligence (IJCAI), 2022	64	2022
Privacy preserving text representation learning G Beigi, K Shu, R Guo, S Wang, H Liu Proceedings of the 30th ACM Conference on Hypertext and Social Media, 275-276, 2019	52	2019
Debiasing grid-based product search in e-commerce R Guo, X Zhao, A Henderson, L Hong, H Liu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	51	2020
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process R Guo, J Li, H Liu Proceedings of the 27th International Joint Conference on Artificial …, 2018	49	2018
AutoMLP: Automated MLP for Sequential Recommendations M Li, Z Zhang, X Zhao, W Wang, M Zhao, R Wu, R Guo Proceedings of the ACM Web Conference 2023, 2023	48	2023
Multi-level network embedding with boosted low-rank matrix approximation J Li, L Wu, R Guo, C Liu, H Liu Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019	47	2019

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