Hemank Lamba
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
19
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment. | Antonia Karamolegkou, Angana Borah, Eunjung Cho, Sagnik Ray Choudhury, Martina Galletti, Pranav Gupta, Oana Ignat, Priyanka Kargupta, Neema Kotonya, Hemank Lamba, Sun-Joo Lee, Arushi Mangla, Ishani Mondal, Fatima Zahra Moudakir, Deniz Nazar, Poli Nemkova, Dina Pisarevskaya, Naquee Rizwan, Nazanin Sabri, Keenan Samway, Dominik Stammbach, Anna Steinberg, David Toms, Steven R. Wilson, Bowen Yi, Jessica H. Zhu, Arkaitz Zubiaga, Anders Sgaard, Alexander Fraser, Zhijing Jin, Rada Mihalcea, Joel R. Tetreault, Daryna Dementieva |
| 2025 | ACL | Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs. | Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alejandro Jaimes |
| 2025 | COLING | CEHA: A Dataset of Conflict Events in the Horn of Africa. | Rui Bai, Di Lu, Shihao Ran, Elizabeth M. Olson, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes |
| 2025 | COLING | Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election. | Roberto Mondini, Neema Kotonya, Robert L. Logan IV, Elizabeth M. Olson, Angela Oduor Lungati, Daniel Duke Odongo, Tim Ombasa, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes |
| 2025 | EMNLP | Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions. | Seyedali Mohammadi, Bhaskara Hanuma Vedula, Hemank Lamba, Edward Raff, Ponnurangam Kumaraguru, Francis Ferraro, Manas Gaur |
| 2024 | CHI | Dissecting users' needs for search result explanations. | Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes |
| 2024 | EMNLP | HumVI: A Multilingual Dataset for Detecting Violent Incidents Impacting Humanitarian Aid. | Hemank Lamba, Anton Abilov, Ke Zhang, Elizabeth M. Olson, Henry Kudzanai Dambanemuya, Joo C. Brcia, David Batista, Christina Wille, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes |
| 2024 | ICTIR | CFE2: Counterfactual Editing for Search Result Explanation. | Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes |
| 2022 | ICSE | "This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors. | Hongbo Fang, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu |
| 2022 | ICWSM | Effect of Popularity Shocks on User Behaviour. | Omkar Gurjar, Tanmay Bansal, Hitkul Jangra, Hemank Lamba, Ponnurangam Kumaraguru |
| 2022 | ICWSM | Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. | Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jrgen Pfeffer |
| 2020 | AAAI | TellTail: Fast Scoring and Detection of Dense Subgraphs. | Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos |
| 2020 | ICDM | Provably Robust Node Classification via Low-Pass Message Passing. | Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi |
| 2020 | ICWSM | Driving the Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks. | Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Singh Juneja, Ponnurangam Kumaraguru |
| 2020 | MSR | Need for Tweet: How Open Source Developers Talk About Their GitHub Work on Twitter. | Hongbo Fang, Daniel Klug, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu |
| 2019 | KDD | Modeling Dwell Time Engagement on Visual Multimedia. | Hemank Lamba, Neil Shah |
| 2019 | SDM | Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. | Hemank Lamba, Leman Akoglu |
| 2018 | KDD | xStream: Outlier Detection in Feature-Evolving Data Streams. | Emaad A. Manzoor, Hemank Lamba, Leman Akoglu |
| 2018 | WWW | Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies. | Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru |
| 2017 | ICDM | The Many Faces of Link Fraud. | Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos |
| 2017 | ICWSM | From Camera to Deathbed: Understanding Dangerous Selfies on Social Media. | Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru |
| 2016 | APWEB | Man-O-Meter: Modeling and Assessing the Evolution of Language Usage of Individuals on Microblogs. | Kuntal Dey, Saroj Kaushik, Hemank Lamba, Seema Nagar |
| 2016 | WWW | Incorporating Side Information in Tensor Completion. | Hemank Lamba, Vaishnavh Nagarajan, Kijung Shin, Naji Shajarisales |
| 2016 | WWW | Maximizing the Spread of Positive Influence by Deadline. | Hemank Lamba, Jrgen Pfeffer |
| 2015 | ICDM | Experience-Aware Item Recommendation in Evolving Review Communities. | Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum |
| 2014 | COMSNETS | Discovering signature of social networks with application to community detection. | Ramasuri Narayanam, Dinesh Garg, Hemank Lamba |
| 2014 | ECAI | A Shapley Value-based Approach to Determine Gatekeepers in Social Networks with Applications. | Ramasuri Narayanam, Oskar Skibski, Hemank Lamba, Tomasz P. Michalak |
| 2013 | WWW | Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy. | Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, Anupam Joshi |
| 2013 | WISE | A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks. | Hemank Lamba, Ramasuri Narayanam |
| 2012 | ICIP | Incremental subclass discriminant analysis: A case study in face recognition. | Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh |