Charu Sharma
Assistant Professor, IIIT Hyderabad (ML Lab)
I'm an Assistant Professor in Machine Learning Lab at International Institute of Information Technology Hyderabad (IIIT-H). As a PhD student, I have worked in Krama Lab under the guidance of Dr. Manohar Kaul in the department of Computer Science & Engineering at Indian Institute of Technology (IIT) Hyderabad. I completed my M.Tech in Artificial Intelligence from University of Hyderabad under the guidance of Prof. Arun K. Pujari. Prior to this, I worked as a Junior Software Engineer under Prof. Deepak B. Phatak at Indian Institute of Technology (IIT) Bombay.
My interests include Geometric Machine/ Deep Learning (graphs and point clouds), Topological Data Analysis.
Recent!
I'm always looking for motivated students for PhD. Write to me with your CV/resume and cover letter only if you want to apply for a full-time position.
August 15, 2023: Paper titled "Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation" accepted at WACV 2024.
Two workshop papers have been accepted at WWW'23 and ICAIL'23.
January 22, 2023: Paper with Nidhi, Jushaan, Raghava, Niharika and PK accepted in EACL 2023 Conference Findings. Title: "JobXMLC: EXtreme Multi-Label Classification of Job Skills with Graph Neural Networks".
January 7, 2023: Experience and motivational talk at CoDS-COMAD 2023.
November 1-5, 2022: Delivered talks on Graph Neural Networks, Point Clouds and Geometric DL at SVNIT Surat and IIIT Vadodara.
October 6, 2022: Long paper with Anmol Goel and Ponnurangam Kumaraguru accepted at EMNLP 2022 main conference. Title of the paper "An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy".
SRG (Start-Up Grant) proposal is approved by SERB (Science and Engineering Research Board, a statutory body under DST) to fund my research group.
Featured in IIITH's Blog with my life journey (link)
Talk on "Knowledge Graph Representation Learning" at Sahaj
Talk on "Introduction to ML for Graphs" during I-Srishti Internship program 2022 by I-Hub, IIITH.
Lecture on "Deep Learning for (Molecular) Graphs" in ML for Chemistry and Drug Design Course.
Organizing 3D Vision Summer school from 22nd-28th May at IIIT Hyderabad.
Will be serving as Proceedings Chair at CoDS-COMAD 2023.
June 14, 2021: Joined IIIT Hyderabad (ML Lab) as an Assistant Professor.
March 24, 2021: Successfully defended my PhD thesis!
Feb 10, 2021: Submitted my PhD Thesis "Exploiting Higher-order Structures in Assignment Problems and Geometric Representation Learning". Phew! Sigh of relief! :)
Sept 26, 2020: Paper titled "Self-Supervised Few-Shot Learning on Point Clouds" has been accepted at NeurIPS 2020.
August 30, 2020. Honored to receive Excellence in Research Award from IIT Hyderabad.
July 3, 2020: Paper titled "Simplicial Complex based Point Correspondence between Images warped onto Manifolds" accepted at ECCV 2020.
March 21, 2020: Paper titled "Learning Representations using Spectral-Biased Random Walks on Graphs" accepted at IJCNN 2020.
May 14, 2019: Paper titled "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs (long paper)" accepted at ACL 2019.
May 12, 2018: Paper titled "Solving Partial Assignment Problems using Random Clique Complexes" accepted at ICML 2018.