Jurek Leonhardt, A. Anand, M. Khosla (2020),
**Boilerplate removal using a neural sequence labeling model**, In *The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020* p.226-229.

Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand (2020),
**Node Representation Learning for Directed Graphs**, Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, CĂ©line Robardet (Eds.), In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings* Volume 11906 p.395-411.

Megha Khosla, Avishek Anand (2019),
**A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs**, In *Algorithmica* Volume 81 p.3707-3724.

Helge Holzmann, Avishek Anand, M. Khosla (2018),
**Delusive pagerank in incomplete graphs**, In *International Conference on Complex Networks and their Applications*.

Jurek Leonhardt, Avishek Anand, Megha Khosla (2018),
**User Fairness in Recommender Systems**, In *Companion Proceedings of the The Web Conference 2018*.

Nikolaos Fountoulakis, M. Khosla, Konstantinos Panagiotou (2015),
**The Multiple-Orientability Thresholds for Random Hypergraphs**, In *Combinatorics, Probability and Computing* Volume 25.

M. Khosla (2013),
**Balls into Bins made Faster**, In *Proceedings of the Twenty-First Annual European Symposium on Algorithms*.

Nikolaos Fountoulakis, M. Khosla, Konstantinos Panagiotou (2011),
**The Multiple-Orientability Thresholds for Random Hypergraphs**, Dana Randall (Eds.), In *Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete algorithms (SODA'11* Volume 25 p.1222-1236.