Wei Lu
I have graduated from UBC. Email: [first-letter-of-first-name].[lastname] AT alumni.ubc.ca.
News
- 07/2017: I will be serving on the Program Committee of
WWW 2018
and WSDM 2018.
- 05/2017: Here is our technical report
systematically refuting the mis-claims made in and the experimental methodology employed by a SIGMOD 2017 paper on influence maximization benchmarking.
- 05/2017: Our paper Revenue Maximization in Incentivized Social Advertising
has been accepted to PVLDB and VLDB 2017. [arxiv]
Publications
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Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study". Wei Lu, Xiaokui Xiao, Amit Goyal, Keke Huang, Laks V.S. Lakshmanan. ArXiv CoRR:1705.05144. May 2017.
[Slides]
[GitHub]
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Revenue Maximization in Incentivized Social Advertising. Cigdem Aslay, Francesco Bonchi, Laks V.S. Lakshmanan, Wei Lu. To appear in PVLDB and VLDB 2017 conference.
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Intelligent Candidate Generation for Large-Scale Link Recommendation. Myunghwan Kim, Wei Lu, Souvik Ghosh, and Hema Raghavan. In BayLearn 2016, Sunnyvale, CA, October 2016.
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Social Recommendations with Strong and Weak Ties. Xin Wang, Wei Lu, Martin Ester, Cang Wang, and Chun Chen. In CIKM 2016, Indianapolis, IN, October 2016.
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Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms.
Xin Huang, Wei Lu, and Laks V.S. Lakshmanan.
In SIGMOD 2016, San Francisco, CA, July 2016.
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From Competition to Complementarity: Comparative Influence Diffusion and Maximization.
Wei Lu, Wei Chen, and Laks V.S. Lakshmanan.
In PVLDB 9(2) and VLDB 2016 conference, New Delhi, India.
[full version] (source code and datasets available!)
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Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret.
Cigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, and Laks V.S. Lakshmanan.
In PVLDB 8(7) and VLDB 2015 conference, Kohala Coast, Hawaii.
[full version]
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Show Me the Money: Dynamic Recommendations for Revenue Maximization.
Wei Lu, Shanshan Chen, Keqian Li, and Laks V.S. Lakshmanan.
In PVLDB 7(14) and VLDB 2015 conference, Kohala Coast, Hawaii.
[full version] (source code and datasets available!)
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Optimal Recommendations under Attraction, Aversion, and Social Influence.
Wei Lu, Stratis Ioannidis, Smriti Bhagat, and Laks V.S. Lakshmanan.
In KDD 2014,
New York, NY, August 2014.
[conference presentation video]
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On Social Event Organization.
Keqian Li, Wei Lu, Smriti Bhagat, Laks V.S. Lakshmanan, and Cong Yu.
In KDD 2014,
New York, NY, August 2014.
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The Bang for the Buck: Fair Competitive Viral Marketing from the Host Perspective.
Wei Lu, Francesco Bonchi, Amit Goyal, and Laks V.S. Lakshmanan.
In KDD 2013,
Chicago, Illinois, August 2013.
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Profit Maximization over Social Networks.
Wei Lu and Laks V.S. Lakshmanan.
In ICDM 2012,
Brussels, Belgium, December 2012.
[full version]
[slides]
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Time-critical Influence Maximization in Social Networks with Time-delayed Diffusion Process.
Wei Chen, Wei Lu, and Ning Zhang.
In AAAI 2012,
Toronto, Ontario, July 2012.
[full version]
[slides]
[poster]
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SimPath: An efficient algorithm for influence maximization under the linear threshold model.
Amit Goyal, Wei Lu, and Laks V.S. Lakshmanan.
In ICDM 2011,
Vancouver, B.C., December 2011. (source code and datasets available!)
[note]
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CELF++: Optimizing the greedy algorithm for influence maximization in social networks.
Amit Goyal, Wei Lu, and Laks V.S. Lakshmanan.
In WWW 2011,
Hyderabad, India, April 2011. (source code and datasets available!)
[latest notes]
Software and Data Release
- Raw experimental results in relation to our May 2017 technical report titled
Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study".
- Source code for SimPath (ICDM 2011) and CELF++ (WWW 2011) papers.
- Source code for ComIC paper (VLDB 2016).
- Social network datasets: NetHEPT, Last.fm, Flixster, and DBLP.
- Additional source code and datasets (for other publications) can be made available. Email your request.
Professional Services
- Program Committee Member :
IDEAS'15, IDEAS'16, IDEAS'17, WebDB'16, ICDCS'16,
ICDM'16, WWW'17 (poster track), IDEAS'17,
COMAD'17, CODS-COMAD'18, WWW'18, WSDM'18.
- Journal reviewer for The International Journal on Very Large Data Bases (VLDB-J), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Knowledge Discovery from Data (TKDD), Springer Social Network Analysis and Mining (SNAM), Springer Data Mining and Knowledge Discovery (DAMI), Springer Knowledge and Information Systems (KAIS), ACM Transactions on the Web (TWEB), etc.
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Conference reviewer for Proceedings of Very Large Data Bases Endowment (PVLDB), the International Symposium on Algorithms and Computation (ISAAC), IEEE International Conference on Data Engineering, IEEE Interntional Conference on Data Mining (ICDM), Web Search and Data Mining (WSDM).
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Publicity chair for the first VLDB international Workshop on Online Social Systems (WOSS), 2012.
© Wei Lu 2012-2017. All rights reserved.
Technical report refuting "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study".