Xinran He

According to our database, Xinran He authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation.

Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.

Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Lifting Model-Based Interval Analysis for DC Power Flow in Presence of Uncertain Network Reactance and Power Injections.

Chenggang Mu, Tao Ding, Yuge Sun, Shuangfei Xieliu, Xinran He, Li Li

IEEE Trans. Circuits Syst. II Express Briefs, July, 2023

2022

Friend Story Ranking with Edge-Contextual Local Graph Convolutions.

Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Stochastic Unit Commitment Model Considering the Impact of Carbon Emissions Trading.

Xin Bai, Xinran He, Yuge Sun, Li Zhang, Suibin Zhang, Tao Ding

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

2021

Modeling the Relationship of ≥2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine Learning Method.

Xiaojing Sun, Ruilin Lin, Siqing Liu, Xinran He, Liqin Shi, Bingxian Luo, Qiuzhen Zhong, Jiancun Gong

Remote. Sens., 2021

Network Inference from a Mixture of Diffusion Models for Fake News Mitigation.

Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2018

Stability and Robustness in Influence Maximization.

Xinran He, David Kempe

ACM Trans. Knowl. Discov. Data, 2018

DynGEM: Deep Embedding Method for Dynamic Graphs.

Palash Goyal, Nitin Kamra, Xinran He, Yan Liu

CoRR, 2018

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding.

Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han

CoRR, 2018

Inferring diffusion networks with life stage heterogeneity.

Tong Zhao, Guojie Song, Xinran He

Sci. China Inf. Sci., 2018

2017

Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach.

Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang

IEEE Trans. Knowl. Data Eng., 2017

Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors.

Xinran He, Yan Liu

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

Understanding Diffusion Processes: Inference and Theory.

Xinran He

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Learning Influence Functions from Incomplete Observations.

Xinran He, Ke Xu, David Kempe, Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Robust Influence Maximization.

Xinran He, David Kempe

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

GLAD: Group Anomaly Detection in Social Media Analysis.

Rose Yu, Xinran He, Yan Liu

ACM Trans. Knowl. Discov. Data, 2015

Learning and Optimization with Submodular Functions.

Bharath Sankaran, Marjan Ghazvininejad, Xinran He, David C. Kale, Liron Cohen

CoRR, 2015

On Influential Nodes Tracking in Dynamic Social Networks.

Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades.

Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu

Proceedings of the 32nd International Conference on Machine Learning, 2015

Model Selection for Topic Models via Spectral Decomposition.

Dehua Cheng, Xinran He, Yan Liu

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract.

Qi Yu, Xinran He, Yan Liu

CoRR, 2014

Analyzing the Number of Latent Topics via Spectral Decomposition.

Dehua Cheng, Xinran He, Yan Liu

CoRR, 2014

Practical Lessons from Predicting Clicks on Ads at Facebook.

Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela

Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014

Stability of influence maximization.

Xinran He, David Kempe

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Price of Anarchy for the N-Player Competitive Cascade Game with Submodular Activation Functions.

Xinran He, David Kempe

Proceedings of the Web and Internet Economics - 9th International Conference, 2013

2012

Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model.

Xinran He, Guojie Song, Wei Chen, Qingye Jiang

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011

Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model Technical Report

Xinran He, Guojie Song, Wei Chen, Qingye Jiang

CoRR, 2011