Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model Technical Report - Xinran He; Guojie Song; Wei Chen 013; Qingye Jiang (CoRR, 2011)

Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model. - Xinran He; Guojie Song; Wei Chen 013; Qingye Jiang (SDM, 2012)

Price of Anarchy for the N-Player Competitive Cascade Game with Submodular Activation Functions. - Xinran He; David Kempe 001 (WINE, 2013)

Stability of influence maximization. - Xinran He; David Kempe 001 (KDD, 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 (ADKDD@KDD, 2014)

Analyzing the Number of Latent Topics via Spectral Decomposition. - Dehua Cheng; Xinran He; Yan Liu 002 (CoRR, 2014)

GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract. - Qi Yu; Xinran He; Yan Liu 002 (CoRR, 2014)

Model Selection for Topic Models via Spectral Decomposition. - Dehua Cheng; Xinran He; Yan Liu 002 (AISTATS, 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 002 (ICML, 2015)

On Influential Nodes Tracking in Dynamic Social Networks. - Xiaodong Chen; Guojie Song; Xinran He; Kunqing Xie (SDM, 2015)

Learning and Optimization with Submodular Functions. - Bharath Sankaran; Marjan Ghazvininejad; Xinran He; David C. Kale; Liron Cohen 002 (CoRR, 2015)

GLAD: Group Anomaly Detection in Social Media Analysis. - Rose Yu; Xinran He; Yan Liu 002 (ACM Trans. Knowl. Discov. Data, 2015)

Robust Influence Maximization. - Xinran He; David Kempe 001 (KDD, 2016)

Learning Influence Functions from Incomplete Observations. - Xinran He; Ke Xu; David Kempe 001; Yan Liu 002 (NIPS, 2016)

Understanding Diffusion Processes: Inference and Theory. - Xinran He (WSDM, 2016)

Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors. - Xinran He; Yan Liu 002 (WSDM, 2017)

Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. - Guojie Song; Yuanhao Li; Xiaodong Chen; Xinran He; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Inferring diffusion networks with life stage heterogeneity. - Tong Zhao; Guojie Song; Xinran He (Sci. China Inf. Sci., 2018)

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. - Yu Shi 002; Fangqiu Han; Xinran He; Carl Yang 001; Jie Luo; Jiawei Han 001 (CoRR, 2018)

DynGEM: Deep Embedding Method for Dynamic Graphs. - Palash Goyal; Nitin Kamra; Xinran He; Yan Liu 002 (CoRR, 2018)

Stability and Robustness in Influence Maximization. - Xinran He; David Kempe 001 (ACM Trans. Knowl. Discov. Data, 2018)

Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. - Karishma Sharma; Xinran He; Sungyong Seo; Yan Liu 002 (ICWSM, 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)

Stochastic Unit Commitment Model Considering the Impact of Carbon Emissions Trading. - Xin Bai; Xinran He; Yuge Sun; Li Zhang; Suibin Zhang; Tao Ding (ISGT Asia, 2022)

Friend Story Ranking with Edge-Contextual Local Graph Convolutions. - Xianfeng Tang; Yozen Liu; Xinran He; Suhang Wang; Neil Shah (WSDM, 2022)

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, 2023)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Tharindu Madusanka; Iqra Zahid; Jiayan Zeng; Xiaochi Wang; Xinran He; Yizhi Li; Goran Nenadic (ACL (Findings), 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 (EMNLP (Findings), 2024)

RISE: Reasoning Enhancement via Iterative Self-Exploration in Multi-hop Question Answering. - Bolei He; Xinran He; Mengke Chen; Xianwei Xue; Ying Zhu; Zhen-Hua Ling (ACL (Findings), 2025)

Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering. - Bolei He; Xinran He; Run Shao; Shanfu Shu; Xianwei Xue; Mingquan Cheng; Haifeng Li; Zhenhua Ling (CoRR, 2025)