Gaihre, Anil, Yan Luo, and Hang Liu. "Do bitcoin users really care about anonymity? an analysis of the bitcoin transaction graph." 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018.
Gaihre, Anil, Santosh Pandey, and Hang Liu. "Deanonymizing cryptocurrency with graph learning: the promises and challenges." 2019 IEEE Conference on Communications and Network Security (CNS). IEEE, 2019.
Gaihre, Anil, et al. "Xbfs: exploring runtime optimizations for breadth-first search on gpus." Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing. 2019.
Gaihre, Anil, Xiaoye S. Li, and Hang Liu. "GSOFA: Scalable Sparse LU Symbolic Factorization on GPUs." arXiv preprint arXiv:2007.00840 (2020)
Gaihre, Anil, et al. "Dr.Top-k: Delegate-Centric Top-k Computation on GPUs." In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA