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Journal Articles
- 2023
[j6]Chenggang Mu
, Tao Ding, Yuge Sun, Shuangfei Xieliu, Xinran He, Li Li:
Lifting Model-Based Interval Analysis for DC Power Flow in Presence of Uncertain Network Reactance and Power Injections. IEEE Trans. Circuits Syst. II Express Briefs 70(7): 2500-2504 (2023)- 2021
- [j5]Xiaojing Sun, Ruilin Lin, Siqing Liu, Xinran He, Liqin Shi, Bingxian Luo, Qiuzhen Zhong, Jiancun Gong:
Modeling the Relationship of ≥2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine Learning Method. Remote. Sens. 13(17): 3347 (2021) - 2018
- [j4]Tong Zhao, Guojie Song, Xinran He:
Inferring diffusion networks with life stage heterogeneity. Sci. China Inf. Sci. 61(9): 092101:1-092101:16 (2018) - [j3]Xinran He, David Kempe:
Stability and Robustness in Influence Maximization. ACM Trans. Knowl. Discov. Data 12(6): 66:1-66:34 (2018) - 2017
- [j2]Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, Jie Tang:
Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Trans. Knowl. Data Eng. 29(2): 359-372 (2017) - 2015
- [j1]Rose Yu, Xinran He, Yan Liu:
GLAD: Group Anomaly Detection in Social Media Analysis. ACM Trans. Knowl. Discov. Data 10(2): 18:1-18:22 (2015)
Conference and Workshop Papers
- 2024
- [c17]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. ACL (Findings) 2024: 133-150 - [c16]Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling:
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. EMNLP (Findings) 2024: 10371-10393 - 2022
- [c15]Xin Bai, Xinran He, Yuge Sun, Li Zhang, Suibin Zhang, Tao Ding:
Stochastic Unit Commitment Model Considering the Impact of Carbon Emissions Trading. ISGT Asia 2022: 429-433 - [c14]Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah:
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM 2022: 1007-1015 - 2021
- [c13]Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu:
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. ICWSM 2021: 668-679 - 2017
- [c12]Xinran He, Yan Liu:
Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors. WSDM 2017: 465-474 - 2016
- [c11]Xinran He, David Kempe:
Robust Influence Maximization. KDD 2016: 885-894 - [c10]Xinran He, Ke Xu, David Kempe, Yan Liu:
Learning Influence Functions from Incomplete Observations. NIPS 2016: 2065-2073 - [c9]Xinran He:
Understanding Diffusion Processes: Inference and Theory. WSDM 2016: 707 - 2015
- [c8]Dehua Cheng, Xinran He, Yan Liu:
Model Selection for Topic Models via Spectral Decomposition. AISTATS 2015 - [c7]Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu:
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. ICML 2015: 871-880 - [c6]Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie:
On Influential Nodes Tracking in Dynamic Social Networks. SDM 2015: 613-621 - 2014
- [c5]Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela:
Practical Lessons from Predicting Clicks on Ads at Facebook. ADKDD@KDD 2014: 5:1-5:9 - [c4]Qi Rose Yu, Xinran He, Yan Liu:
GLAD: group anomaly detection in social media analysis. KDD 2014: 372-381 - [c3]Xinran He, David Kempe:
Stability of influence maximization. KDD 2014: 1256-1265 - 2013
- [c2]Xinran He, David Kempe:
Price of Anarchy for the N-Player Competitive Cascade Game with Submodular Activation Functions. WINE 2013: 232-248 - 2012
- [c1]Xinran He, Guojie Song, Wei Chen, Qingye Jiang:
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model. SDM 2012: 463-474
Informal and Other Publications
- 2024
- [i12]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. CoRR abs/2406.03151 (2024) - [i11]Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling:
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. CoRR abs/2410.05801 (2024) - 2020
- [i10]Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu:
Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. CoRR abs/2008.03450 (2020) - 2018
- [i9]Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han:
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. CoRR abs/1801.06597 (2018) - [i8]Palash Goyal, Nitin Kamra, Xinran He, Yan Liu:
DynGEM: Deep Embedding Method for Dynamic Graphs. CoRR abs/1805.11273 (2018) - 2016
- [i7]Xinran He, David Kempe:
Robust Influence Maximization. CoRR abs/1602.05240 (2016) - [i6]Xinran He, Ke Xu, David Kempe, Yan Liu:
Learning Influence Functions from Incomplete Observations. CoRR abs/1611.02305 (2016) - 2015
- [i5]Xinran He, David Kempe:
Stability of Influence Maximization. CoRR abs/1501.04579 (2015) - [i4]Bharath Sankaran, Marjan Ghazvininejad, Xinran He, David C. Kale, Liron Cohen:
Learning and Optimization with Submodular Functions. CoRR abs/1505.01576 (2015) - 2014
- [i3]Qi Yu, Xinran He, Yan Liu:
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract. CoRR abs/1410.1940 (2014) - [i2]Dehua Cheng, Xinran He, Yan Liu:
Analyzing the Number of Latent Topics via Spectral Decomposition. CoRR abs/1410.6466 (2014) - 2011
- [i1]Xinran He, Guojie Song, Wei Chen, Qingye Jiang:
Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model Technical Report. CoRR abs/1110.4723 (2011)
Coauthor Index
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