Sanjay Chawla

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

1998–2026

Best venue rank

Where they publish

Papers

88 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models.	Tianyi Zhou, Johanne Medina, Sanjay Chawla
2025	ICML	Explaining the role of Intrinsic Dimensionality in Adversarial Training.	Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla
2025	WACV	CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection.	Naveen Karunanayake, Suranga Seneviratne, Sanjay Chawla
2025	TrustCom	Detecting Content Rating Violations in Android Applications: A Vision-Language Approach.	Dishanika Denipitiyage, Bhanuka Silva, Suranga Seneviratne, Aruna Seneviratne, Sanjay Chawla
2024	ICLR	S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic.	Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024	KDD	Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific Discovery.	Nour Makke, Sanjay Chawla
2023	ACL	Impact of Adversarial Training on Robustness and Generalizability of Language Models.	Enes Altinisik, Hassan Sajjad, Husrev T. Sencar, Safa Messaoud, Sanjay Chawla
2023	KDD	Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference.	Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran
2022	CIKM	The Third Workshop on Data-driven Intelligent Transportation.	Hua Wei, Guni Sharon, Cathy Wu, Sanjay Chawla, Zhenhui Li
2021	ADBIS	A Perspective on Prescriptive Learning ADBIS'2021 Keynote.	Sanjay Chawla
2021	ICCV	Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories.	Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden
2021	ICWSM	How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement.	Kunwoo Park, Haewoon Kwak, Jisun An, Sanjay Chawla
2020	AAAI	RoadTagger: Robust Road Attribute Inference with Graph Neural Networks.	Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi
2020	ECCV	Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding.	Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi
2020	ICDE	ML-based Cross-Platform Query Optimization.	Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Bertty Contreras-Rojas, Rodrigo Pardo-Meza, Anis Troudi, Sanjay Chawla
2020	ICDM	Prescriptive Learning for Air-Cargo Revenue Management.	Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Sanjay Chawla
2020	KDD	Robust Deep Learning Methods for Anomaly Detection.	Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
2019	ICDE	Optimizing Cross-Platform Data Movement.	Sebastian Kruse, Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Sanjay Chawla, Felix Naumann, Bertty Contreras-Rojas
2019	KDD	Time Critic Policy Gradient Methods for Traffic Signal Control in Complex and Congested Scenarios.	Stefano Giovanni Rizzo, Giovanna Vantini, Sanjay Chawla
2018	AAAI	SAGA: A Submodular Greedy Algorithm for Group Recommendation.	Shameem Ahamed Puthiya Parambath, Nishant Vijayakumar, Sanjay Chawla
2018	CVPR	RoadTracer: Automatic Extraction of Road Networks From Aerial Images.	Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David J. DeWitt
2018	ICDE	RheemStudio: Cross-Platform Data Analytics Made Easy.	Ji Lucas, Yasser Idris, Bertty Contreras-Rojas, Jorge-Arnulfo Quian-Ruiz, Sanjay Chawla
2018	ICDM	Deep Reinforcement Learning for Traffic Light Optimization.	Mustafa Coskun, Abdelkader Baggag, Sanjay Chawla
2018	SDM	Robust Road Map Inference through Network Alignment of Trajectories.	Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat
2017	DSAA	Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment.	Nazia Attari, Ferda Ofli, Mohammad Awad, Ji Lucas, Sanjay Chawla
2017	EDBT	COP: Planning Conflicts for Faster Parallel Transactional Machine Learning.	Faisal Nawab, Divy Agrawal, Amr El Abbadi, Sanjay Chawla
2017	SIGMOD	A Cost-based Optimizer for Gradient Descent Optimization.	Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal
2017	WSDM	Social Media Anomaly Detection: Challenges and Solutions.	Yan Liu, Sanjay Chawla
2016	AISTATS	Simple and Scalable Constrained Clustering: a Generalized Spectral Method.	Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng
2016	EDBT	Road to Freedom in Big Data Analytics.	Divy Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid, Zoi Kaoudi, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quian-Ruiz, Nan Tang, Mohammed J. Zaki
2016	ICDM	A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting.	Muhammad Imran, Sanjay Chawla, Carlos Castillo
2016	KDD	Online Optimization Methods for the Quantification Problem.	Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani
2016	PAKDD	Discovering the Network Backbone from Traffic Activity Data.	Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang
2016	PAKDD	Early-Stage Event Prediction for Longitudinal Data.	Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy
2016	SIGMOD	Rheem: Enabling Multi-Platform Task Execution.	Divy Agrawal, Mouhamadou Lamine Ba, Laure Berti-quille, Sanjay Chawla, Ahmed K. Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quian-Ruiz, Nan Tang, Mohammed J. Zaki
2015	KDD	Social Media Anomaly Detection: Challenges and Solutions.	Yan Liu, Sanjay Chawla
2015	PAKDD	Automated Classification of Passing in Football.	Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Jol Estephan
2015	SDM	Cross-Modal Retrieval: A Pairwise Classification Approach.	Aditya Krishna Menon, Didi Surian, Sanjay Chawla
2014	ICDM	On Sparse Feature Attacks in Adversarial Learning.	Fei Wang, Wei Liu, Sanjay Chawla
2014	KDD	Sleep analytics and online selective anomaly detection.	Tahereh Babaie, Sanjay Chawla, Romesh G. Abeysuriya
2013	AI	A Causal Approach for Mining Interesting Anomalies.	Sakshi Babbar, Didi Surian, Sanjay Chawla
2013	APWEB	A Scalable Approach for LRT Computation in GPGPU Environments.	Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox
2013	ICML	On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance.	Aditya Krishna Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla
2013	ICTAI	Tikhonov or Lasso Regularization: Which Is Better and When.	Fei Wang, Sanjay Chawla, Wei Liu
2013	PAKDD	Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning.	Pengyi Yang, Wei Liu, Bing Bing Zhou, Sanjay Chawla, Albert Y. Zomaya
2013	SDM	k-means-: A Unified Approach to Clustering and Outlier Detection.	Sanjay Chawla, Aristides Gionis
2012	DIS	Large Scale Spectral Clustering Using Resistance Distance and Spielman-Teng Solvers.	Nguyen Lu Dang Khoa, Sanjay Chawla
2012	ICDM	Inferring the Root Cause in Road Traffic Anomalies.	Sanjay Chawla, Yu Zheng, Jiafeng Hu
2012	ICTAI	Mining Causal Outliers Using Gaussian Bayesian Networks.	Sakshi Babbar, Sanjay Chawla
2011	ADMA	On Mining Anomalous Patterns in Road Traffic Streams.	Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng
2011	CIKM	A robust index for regular expression queries.	Dominic Tsang, Sanjay Chawla
2011	KDD	Discovering spatio-temporal causal interactions in traffic data streams.	Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie
2011	PAKDD	Class Confidence Weighted	Wei Liu, Sanjay Chawla
2011	SDM	A Quadratic Mean based Supervised Learning Model for Managing Data Skewness.	Wei Liu, Sanjay Chawla
2010	COMAD	On Bayesian Network and Outlier Detection.	Sakshi Babbar, Sanjay Chawla
2010	ICDM	Network Anomaly Detection Using a Commute Distance Based Approach.	Nguyen Lu Dang Khoa, Tahereh Babaie, Sanjay Chawla, Zainab R. Zaidi
2010	ICDM	Finding Local Anomalies in Very High Dimensional Space.	Timothy de Vries, Sanjay Chawla, Michael E. Houle
2010	PAKDD	Robust Outlier Detection Using Commute Time and Eigenspace Embedding.	Nguyen Lu Dang Khoa, Sanjay Chawla
2010	SDM	A Robust Decision Tree Algorithm for Imbalanced Data Sets.	Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla
2009	AusDM	SparseDTW: A Novel Approach to Speed up Dynamic Time Warping.	Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri
2009	CIKM	Robust record linkage blocking using suffix arrays.	Timothy de Vries, Hui Ke, Sanjay Chawla, Peter Christen
2009	ICDM	A Game Theoretical Model for Adversarial Learning.	Wei Liu, Sanjay Chawla
2008	COMAD	Disk-Based Sampling for Outlier Detection in High Dimensional Data.	Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh Anh Pham
2008	KDD	Spatio-temporal Outlier Detection in Precipitation Data.	Elizabeth Wu, Wei Liu, Sanjay Chawla
2007	ICDM	Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets.	Florian Verhein, Sanjay Chawla
2007	ICDM	Spatio-Temporal Analysis of the Relationship between South American Precipitation Extremes and the El Nio Southern Oscillation.	Elizabeth Wu, Sanjay Chawla
2007	SAC	Dimensionality reduction for long duration and complex spatio-temporal queries.	Ghazi Al-Naymat, Sanjay Chawla, Joachim Gudmundsson
2007	SDM	An incremental data-stream sketch using sparse random projections.	Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Chawla, Anastasios Viglas
2006	DASFAA	Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases.	Florian Verhein, Sanjay Chawla
2006	ICDM	Geometrically Inspired Itemset Mining.	Florian Verhein, Sanjay Chawla
2006	KDD	CCCS: a top-down associative classifier for imbalanced class distribution.	Bavani Arunasalam, Sanjay Chawla
2006	SDM	Mining for Outliers in Sequential Databases.	Pei Sun, Sanjay Chawla, Bavani Arunasalam
2005	COMAD	Sequential Pattern Mining with Constraints on Large Protein Databases.	Joshua Ho, Lior Lukov, Sanjay Chawla
2005	FlAIRS	A Hill-Climbing Landmarker Generation Algorithm Based on Efficiency and Correlativity Criteria.	Daren Ler, Irena Koprinska, Sanjay Chawla
2005	KDD	On discovery of maximal confident rules without support pruning in microarray data.	Tara McIntosh, Sanjay Chawla
2005	PAKDD	Conditional Random Fields for Transmembrane Helix Prediction.	Lior Lukov, Sanjay Chawla, W. Bret Church
2005	SDM	Striking Two Birds With One Stone: Simultaneous Mining of Positive and Negative Spatial Patterns.	Bavani Arunasalam, Sanjay Chawla, Pei Sun
2004	COMPSAC	Mining Complex Relationships in the SDSS SkyServer Spatial Database.	Bavani Arunasalam, Sanjay Chawla, Pei Sun, Robert Munro
2004	HIS	Comparisons between Heuristics Based on Correlativity and Efficiency for Landmarker Generation.	Daren Ler, Irena Koprinska, Sanjay Chawla
2004	ICDE	On Local Pruning of Association Rules Using Directed Hypergraphs.	Sanjay Chawla, Joseph G. Davis, Gaurav Pandey
2004	ICDM	On Local Spatial Outliers.	Pei Sun, Sanjay Chawla
2004	ICMLA	A new landmarker generation algorithm based on correlativity.	Daren Ler, Irena Koprinska, Sanjay Chawla
2003	ICDM	Complex Spatial Relationships.	Robert Munro, Sanjay Chawla, Pei Sun
2003	PAKDD	Mining Open Source Software (OSS) Data Using Association Rules Network.	Sanjay Chawla, Bavani Arunasalam, Joseph G. Davis
2001	SDM	Modeling Spatial Dependencies for Mining Geospatial Data.	Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar zesmi
2000	ICTAI	Consistency checking for Euclidean spatial constraints: a dimension graph approach.	Xuan Liu, Shashi Shekhar, Sanjay Chawla
2000	KDD	Predicting Locations Using Map Similarity(PLUMS): A Framework for Spatial Data Mining.	Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar zesmi
1998	SRDS	Optimizing Join Index Based Join Processing: A Graph Partitioning Approach.	Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla