Hemank Lamba

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 39

Top Topics

Evolving Data Streams

Outlier Detection

Top Venues

WWW (Companion Volume)

Publications

Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
CFE2: Counterfactual Editing for Search Result Explanation. ICTIR (2024)
Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
Dissecting users' needs for search result explanations. CoRR (2024)
Puxuan Yu, Daniel Cohen, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from Large Language Models. CoRR (2024)
Prerna Juneja, Wenjuan Zhang, Alison Marie Smith-Renner, Hemank Lamba, Joel R. Tetreault, Alex Jaimes
Dissecting users' needs for search result explanations. CHI (2024)
Zhichao Xu, Hemank Lamba, Qingyao Ai, Joel R. Tetreault, Alex Jaimes
Counterfactual Editing for Search Result Explanation. CoRR (2023)
Tanvi Karandikar, Avinash Prabhu, Mehul Mathur, Megha Arora, Hemank Lamba, Ponnurangam Kumaraguru
Co-WIN: Really Winning? Analysing Inequity in India's Vaccination Response. CoRR (2022)
Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. ICWSM (2022)
Hongbo Fang, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu
"This Is Damn Slick!" Estimating the Impact of Tweets on Open Source Project Popularity and New Contributors. ICSE (2022)
Omkar Gurjar, Tanmay Bansal, Hitkul Jangra, Hemank Lamba, Ponnurangam Kumaraguru
Effect of Popularity Shocks on User Behaviour. ICWSM (2022)
Angelina Mooseder, Momin M. Malik, Hemank Lamba, Earth Erowid, Sylvia Thyssen, Jürgen Pfeffer
Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. CoRR (2022)
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. CoRR (2021)
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy. Nat. Mach. Intell. 3 (10) (2021)
Hemank Lamba, Kit T. Rodolfa, Rayid Ghani
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings. SIGKDD Explor. 23 (1) (2021)
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
Provably Robust Node Classification via Low-Pass Message Passing. ICDM (2020)
Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Machine learning for public policy: Do we need to sacrifice accuracy to make models fair? CoRR (2020)
Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Singh Juneja, Ponnurangam Kumaraguru
Driving the Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks. ICWSM (2020)
Kasun Amarasinghe, Kit T. Rodolfa, Hemank Lamba, Rayid Ghani
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions. CoRR (2020)
Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos
TellTail: Fast Scoring and Detection of Dense Subgraphs. AAAI (2020)
Hongbo Fang, Daniel Klug, Hemank Lamba, James D. Herbsleb, Bogdan Vasilescu
Need for Tweet: How Open Source Developers Talk About Their GitHub Work on Twitter. MSR (2020)
Hemank Lamba, Asher Trockman, Daniel Armanios, Christian Kästner, Heather Miller, Bogdan Vasilescu
Heard it through the Gitvine: an empirical study of tool diffusion across the npm ecosystem. ESEC/SIGSOFT FSE (2020)
Hemank Lamba, Shashank Srikanth, Dheeraj Reddy Pailla, Shwetanshu Singh, Karandeep Juneja, Ponnurangam Kumaraguru
Driving The Last Mile: Characterizing and Understanding Distracted Driving Posts on Social Networks. CoRR (2019)
Hemank Lamba, Neil Shah
Modeling Dwell Time Engagement on Visual Multimedia. KDD (2019)
Shreya Jain, Dipankar Niranjan, Hemank Lamba, Neil Shah, Ponnurangam Kumaraguru
Characterizing and detecting livestreaming chatbots. ASONAM (2019)
Hemank Lamba, Leman Akoglu
Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback. SDM (2019)
Te-En Wei, Hahn-Ming Lee, Albert B. Jeng, Hemank Lamba, Christos Faloutsos
WebHound: a data-driven intrusion detection from real-world web access logs. Soft Comput. 23 (22) (2019)
Vedant Nanda, Hemank Lamba, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
Stop the KillFies! Using Deep Learning Models to Identify Dangerous Selfies. WWW (Companion Volume) (2018)
Emaad A. Manzoor, Hemank Lamba, Leman Akoglu
xStream: Outlier Detection in Feature-Evolving Data Streams. KDD (2018)
Kuntal Dey, Hemank Lamba, Seema Nagar, Shubham Gupta, Saroj Kaushik
Modeling Topical Information Diffusion over Microblog Networks. COMPLEX NETWORKS (1) (2018)
Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum
Item Recommendation with Evolving User Preferences and Experience. CoRR (2017)
Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Niharika Sachdeva, Ponnurangam Kumaraguru
From Camera to Deathbed: Understanding Dangerous Selfies on Social Media. ICWSM (2017)
Hemank Lamba, Thomas J. Glazier, Javier Cámara, Bradley R. Schmerl, David Garlan, Jürgen Pfeffer
Model-based Cluster Analysis for Identifying Suspicious Activity Sequences in Software. IWSPA@CODASPY (2017)
Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection. CoRR (2017)
Neil Shah, Hemank Lamba, Alex Beutel, Christos Faloutsos
The Many Faces of Link Fraud. ICDM (2017)
Hemank Lamba, Bryan Hooi, Kijung Shin, Christos Faloutsos, Jürgen Pfeffer
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. ECML/PKDD (1) (2017)
Hemank Lamba, Varun Bharadhwaj, Mayank Vachher, Divyansh Agarwal, Megha Arora, Ponnurangam Kumaraguru
Me, Myself and My Killfie: Characterizing and Preventing Selfie Deaths. CoRR (2016)
Kuntal Dey, Saroj Kaushik, Hemank Lamba, Seema Nagar
Man-O-Meter: Modeling and Assessing the Evolution of Language Usage of Individuals on Microblogs. APWeb (1) (2016)
Hemank Lamba, Jürgen Pfeffer
Maximizing the Spread of Positive Influence by Deadline. WWW (Companion Volume) (2016)
Hemank Lamba, Vaishnavh Nagarajan, Kijung Shin, Naji Shajarisales
Incorporating Side Information in Tensor Completion. WWW (Companion Volume) (2016)
Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Javier Cámara, David Garlan, Jürgen Pfeffer
A model-based approach to anomaly detection in software architectures. HotSoS (2016)
Subhabrata Mukherjee, Hemank Lamba, Gerhard Weikum
Experience-Aware Item Recommendation in Evolving Review Communities. ICDM (2015)
Hemank Lamba, Momin M. Malik, Jürgen Pfeffer
A Tempest in a Teacup? Analyzing Firestorms on Twitter. ASONAM (2015)
Hemank Lamba, Ramasuri Narayanam
A model-independent approach for efficient influence maximization in social networks. Soc. Netw. Anal. Min. 5 (1) (2015)
Hemank Lamba, Thomas J. Glazier, Bradley R. Schmerl, Jürgen Pfeffer, David Garlan
Detecting insider threats in software systems using graph models of behavioral paths. HotSoS (2015)
H. Cao, Weishan Dong, Leslie S. Liu, Chunyang Ma, Weihong Qian, J. W. Shi, Chunhua Tian, Yu Wang, David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Natwar Modani, Hemank Lamba, A. Dwivedi, Amit Anil Nanavati, Mohit Kumar
SoLoMo analytics for telco Big Data monetization. IBM J. Res. Dev. 58 (5/6) (2014)
Ramasuri Narayanam, Oskar Skibski, Hemank Lamba, Tomasz P. Michalak
A Shapley Value-based Approach to Determine Gatekeepers in Social Networks with Applications. ECAI (2014)
Ramasuri Narayanam, Dinesh Garg, Hemank Lamba
Discovering signature of social networks with application to community detection. COMSNETS (2014)
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, Anupam Joshi
Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy. WWW (Companion Volume) (2013)
Hemank Lamba, Ramasuri Narayanam
A Novel and Model Independent Approach for Efficient Influence Maximization in Social Networks. WISE (2) (2013)
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru
$1.00 per RT #BostonMarathon #PrayForBoston: Analyzing fake content on Twitter. eCrime (2013)
Hemank Lamba, Tejas Indulal Dhamecha, Mayank Vatsa, Richa Singh
Incremental subclass discriminant analysis: A case study in face recognition. ICIP (2012)
Hemank Lamba, Ankit Sarkar, Mayank Vatsa, Richa Singh, Afzel Noore
Face recognition for look-alikes: A preliminary study. IJCB (2011)