Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment. - Emre Kiciman; Armando Fox (HUC, 2000)

The Roma personal metadata service. - Edward Swierk; Emre Kiciman; Vince Laviano; Mary Baker (WMCSA, 2000)

ICEBERG: an Internet core network architecture for integrated communications. - Helen J. Wang; Bhaskaran Raman; Chen-Nee Chuah; Rahul Biswas; Ramakrishna Gummadi; Barbara Hohlt; Xia Hong 004; Emre Kiciman; Zhuoqing Morley Mao; Jimmy S. Shih; Lakshminarayanan Subramanian; Ben Y. Zhao; et al. (IEEE Wirel. Commun., 2000)

Towards Zero-Code Service Composition. - Emre Kiciman; Laurence Melloul; Armando Fox (HotOS, 2001)

Pinpoint: Problem Determination in Large, Dynamic Internet Services. - Mike Y. Chen; Emre Kiciman; Eugene Fratkin; Armando Fox; Eric A. Brewer (DSN, 2002)

An online evolutionary approach to developing internet services. - Mike Y. Chen; Emre Kiciman; Eric A. Brewer (ACM SIGOPS European Workshop, 2002)

The Roma Personal Metadata Service. - Edward Swierk; Emre Kiciman; Nathan C. Williams; Takashi Fukushima; Hideki Yoshida; Vince Laviano; Mary Baker (Mob. Networks Appl., 2002)

Using Runtime Paths for Macroanalysis. - Mike Y. Chen; Emre Kiciman; Anthony J. Accardi; Armando Fox; Eric A. Brewer (HotOS, 2003)

JAGR: An Autonomous Self-Recovering Application Server. - George Candea; Emre Kiciman; Steve Zhang; Pedram Keyani; Armando Fox (Active Middleware Services, 2003)

Portability, Extensibility and Robustness in iROS. - Shankar Ponnekanti; Brad Johanson; Emre Kiciman; Armando Fox (PerCom, 2003)

Path-Based Failure and Evolution Management. - Mike Y. Chen; Anthony J. Accardi; Emre Kiciman; David A. Patterson 001; Armando Fox; Eric A. Brewer (NSDI, 2004)

Session State: Beyond Soft State. - Benjamin C. Ling; Emre Kiciman; Armando Fox (NSDI, 2004)

Combining statistical monitoring and predictable recovery for self-management. - Armando Fox; Emre Kiciman; David A. Patterson 001 (WOSS, 2004)

Detecting application-level failures in component-based Internet services. - Emre Kiciman; Armando Fox (IEEE Trans. Neural Networks, 2005)

Using statistical monitoring to detect failures in internet services. - Emre Kiciman (2005)

Mining web logs to debug distant connectivity problems. - Emre Kiciman; David A. Maltz; Moisés Goldszmidt; John C. Platt (MineNet, 2006)

Flight Data Recorder: Monitoring Persistent-State Interactions to Improve Systems Management. - Chad Verbowski; Emre Kiciman; Arunvijay Kumar; Brad Daniels; Shan Lu 001; Juhan Lee; Yi-Min Wang; Roussi Roussev (OSDI, 2006)

Autonomic network management: some pragmatic considerations. - Richard Mortier; Emre Kiciman (INM@SIGCOMM, 2006)

Analyzing persistent state interactions to improve state management. - Chad Verbowski; Emre Kiciman; Brad Daniels; Yi-Min Wang; Roussi Roussev; Shan Lu 001; Juhan Lee (SIGMETRICS/Performance, 2006)

Autonomous recovery in componentized Internet applications. - George Candea; Emre Kiciman; Shinichi Kawamoto; Armando Fox (Clust. Comput., 2006)

Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications. - Emre Kiciman; Helen J. Wang (HotOS, 2007)

Fast Variational Inference for Large-scale Internet Diagnosis. - John C. Platt; Emre Kiciman; David A. Maltz (NIPS, 2007)

Doloto: code splitting for network-bound web 2.0 applications. - V. Benjamin Livshits; Emre Kiciman (SIGSOFT FSE, 2008)

Improving the responsiveness of internet services with automatic cache placement. - Alexander Rasmussen; Emre Kiciman; V. Benjamin Livshits; Madanlal Musuvathi (EuroSys, 2009)

FLUXO: A Simple Service Compiler. - Emre Kiciman; V. Benjamin Livshits; Madanlal Musuvathi (HotOS, 2009)

CatchAndRetry: extending exceptions to handle distributed system failures and recovery. - Emre Kiciman; Benjamin Livshits; Madanlal Musuvathi (PLOS@SOSP, 2009)

Fluxo: a system for internet service programming by non-expert developers. - Emre Kiciman; V. Benjamin Livshits; Madanlal Musuvathi; Kevin C. Webb 001 (SoCC, 2010)

How to Share Your Favourite Search Results while Preserving Privacy and Quality. - George Danezis; Tuomas Aura; Shuo Chen 001; Emre Kiciman (Privacy Enhancing Technologies, 2010)

AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications. - Emre Kiciman; V. Benjamin Livshits (ACM Trans. Web, 2010)

Click patterns: an empirical representation of complex query intents. - Huizhong Duan; Emre Kiciman; ChengXiang Zhai (CIKM, 2012)

OMG, I Have to Tweet that! A Study of Factors that Influence Tweet Rates. - Emre Kiciman (ICWSM, 2012)

Narcotweets: Social Media in Wartime. - Andrés Monroy-Hernández; Emre Kiciman; danah boyd; Scott Counts (ICWSM, 2012)

Keeping information safe from social networking apps. - Bimal Viswanath; Emre Kiciman; Stefan Saroiu (WOSN, 2012)

The new war correspondents: he rise of civic media curation in urban warfare. - Andrés Monroy-Hernández; danah boyd; Emre Kiciman; Munmun De Choudhury; Scott Counts (CSCW, 2013)

Sparse lexical representation for semantic entity resolution. - Yuzhe Jin; Kuansan Wang; Emre Kiciman (ICASSP, 2013)

To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. - Stephen D. Guo; Ming-Wei Chang; Emre Kiciman (HLT-NAACL, 2013)

Smart societies: from citizens as sensors to collective action. - Andrés Monroy-Hernández; Shelly Farnham; Emre Kiciman; Scott Counts; Munmun De Choudhury (Interactions, 2013)

Discussion Graphs: Putting Social Media Analysis in Context. - Emre Kiciman; Scott Counts; Michael Gamon; Munmun De Choudhury; Bo Thiesson (ICWSM, 2014)

Entity linking at the tail: sparse signals, unknown entities, and phrase models. - Yuzhe Jin; Emre Kiciman; Kuansan Wang; Ricky Loynd (WSDM, 2014)

Towards Learning a Knowledge Base of Actions from Experiential Microblogs. - Emre Kiciman (AAAI Spring Symposia, 2015)

Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. - Emre Kiciman; Matthew Richardson (KDD, 2015)

Persona-ization: Searching on Behalf of Others. - Paul N. Bennett; Emre Kiciman (SPS@SIGIR, 2015)

The New War Correspondents: the Rise of Civic Media Curation in Urban Warfare. - Andrés Monroy-Hernández; danah boyd; Emre Kiciman; Munmun De Choudhury; Scott Counts (CoRR, 2015)

Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. - Munmun De Choudhury; Emre Kiciman; Mark Dredze; Glen Coppersmith; Mrinal Kumar 004 (CHI, 2016)

Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media. - Munmun De Choudhury; Sanket S. Sharma; Emre Kiciman (CSCW, 2016)

Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines. - Alexandra Olteanu; Onur Varol; Emre Kiciman (ICWSM, 2016)

Information dissemination in heterogeneous-intent networks. - Abhimanyu Das; Sreenivas Gollapudi; Emre Kiciman; Onur Varol (WebSci, 2016)

Reports of the AAAI 2016 Spring Symposium Series. - Christopher Amato; Ofra Amir; Joanna Bryson; Barbara J. Grosz; Bipin Indurkhya; Emre Kiciman; Takashi Kido; William F. Lawless; Miao Liu 001; Braden McDorman; Ross Mead; Frans A. Oliehoek; et al. (AI Mag., 2016)

Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media. - Alexandra Olteanu; Onur Varol; Emre Kiciman (CSCW, 2017)

The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk. - Munmun De Choudhury; Emre Kiciman (ICWSM, 2017)

Wildbook: Crowdsourcing, computer vision, and data science for conservation. - Tanya Y. Berger-Wolf; Daniel I. Rubenstein; Charles V. Stewart; Jason A. Holmberg; Jason R. Parham; Sreejith Menon; Jonathan P. Crall; Jon Van Oast; Emre Kiciman; Lucas Joppa (CoRR, 2017)

Answering What If, Should I, and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data. - Emre Kiciman; Jorgen Thelin (DESIRES, 2018)

Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use. - Emre Kiciman; Scott Counts; Melissa Gasser (ICWSM, 2018)

Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Kun Zhang 001; Emre Kiciman; Aapo Hyvärinen; Lin Liu 003 (CD@KDD, 2018)

Causal Inference over Longitudinal Data to Support Expectation Exploration. - Emre Kiciman (SIGIR, 2018)

A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. - Alexandra Olteanu; Emre Kiciman; Carlos Castillo 001 (WSDM, 2018)

Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health. - Munmun De Choudhury; Emre Kiciman (AI Mag., 2018)

Guest Editorial: Special Issue on Causal Discovery 2017. - Lin Liu 003; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Negar Kiyavash (Int. J. Data Sci. Anal., 2018)

A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. - Maggie Makar; Adith Swaminathan; Emre Kiciman (AAAI, 2019)

What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. - Andi Peng; Besmira Nushi; Emre Kiciman; Kori Inkpen; Siddharth Suri; Ece Kamar (HCOMP, 2019)

A Social Media Study on the Effects of Psychiatric Medication Use. - Koustuv Saha; Benjamin Sugar; John B. Torous; Bruno D. Abrahao; Emre Kiciman; Munmun De Choudhury (ICWSM, 2019)

Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2019)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WSDM, 2019)

Causal Inference and Counterfactual Reasoning (3hr Tutorial). - Emre Kiciman; Amit Sharma 007 (WSDM, 2019)

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. - Sarah Bird; Ben Hutchinson; Krishnaram Kenthapadi; Emre Kiciman; Margaret Mitchell (WWW (Companion Volume), 2019)

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. - Alexandra Olteanu; Carlos Castillo 001; Fernando Diaz 001; Emre Kiciman (Frontiers Big Data, 2019)

Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality. - Mehrdad Farajtabar; Emre Kiciman; Girish Nathan; Ryen W. White (Int. J. Data Sci. Anal., 2019)

Introduction to the Special Section on Advances in Causal Discovery and Inference. - Jiuyong Li; Kun Zhang 001; Emre Kiciman; Peng Cui 001 (ACM Trans. Intell. Syst. Technol., 2019)

Causal Inference and Counterfactual Reasoning. - Amit Sharma 007; Emre Kiciman (COMAD/CODS, 2020)

External Information Sharing on Health Forums: An Exploration. - Dana M. Nguyen; Alexandra Olteanu; Emre Kiciman (ICWSM, 2020)

Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Kun Zhang 001; Emre Kiciman; Peng Cui 001; Aapo Hyvärinen (CD@KDD, 2020)

AvE: Assistance via Empowerment. - Yuqing Du; Stas Tiomkin; Emre Kiciman; Daniel Polani; Pieter Abbeel; Anca D. Dragan (NeurIPS, 2020)

Novel Human-Object Interaction Detection via Adversarial Domain Generalization. - Yuhang Song 003; Wenbo Li 001; Lei Zhang 001; Jianwei Yang; Emre Kiciman; Hamid Palangi; Jianfeng Gao 001; C.-C. Jay Kuo; Pengchuan Zhang (CoRR, 2020)

Security and Machine Learning in the Real World. - Ivan Evtimov; Weidong Cui; Ece Kamar; Emre Kiciman; Tadayoshi Kohno; Jerry Li 001 (CoRR, 2020)

Causal Inference in the Presence of Interference in Sponsored Search Advertising. - Razieh Nabi; Joel Pfeiffer; Murat Ali Bayir; Denis Charles; Emre Kiciman (CoRR, 2020)

DoWhy: An End-to-End Library for Causal Inference. - Amit Sharma 007; Emre Kiciman (CoRR, 2020)

Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction. - Sanjaya Wijeratne; Horacio Saggion; Emre Kiciman; Amit P. Sheth (ACM Trans. Soc. Comput., 2020)

Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. - Yanbo Xu; Divyat Mahajan; Liz Manrao; Amit Sharma 007; Emre Kiciman (WSDM, 2021)

Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. - Shuxi Zeng; Murat Ali Bayir; Joseph J. Pfeiffer III; Denis Charles; Emre Kiciman (WSDM, 2021)

Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. - Ruocheng Guo; Pengchuan Zhang; Hao Liu; Emre Kiciman (CoRR, 2021)

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions. - Amit Sharma 007; Vasilis Syrgkanis; Cheng Zhang 005; Emre Kiciman (CoRR, 2021)

Population-scale dietary interests during the COVID-19 pandemic. - Kristina Gligoric; Arnaud Chiolero; Emre Kiciman; Ryen W. White; Robert West 001 (CoRR, 2021)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Robert West 001 (CoRR, 2021)

Formation of Social Ties Influences Food Choice: A Campus-wide Longitudinal Study. - Kristina Gligoric; Ryen W. White; Emre Kiciman; Eric Horvitz; Arnaud Chiolero; Robert West 001 (Proc. ACM Hum. Comput. Interact., 2021)

Investigations of Performance and Bias in Human-AI Teamwork in Hiring. - Andi Peng; Besmira Nushi; Emre Kiciman; Kori Inkpen; Ece Kamar (AAAI, 2022)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Saurabh Tiwary; Robert West 001 (EMNLP, 2022)

The KDD 2022 Workshop on Causal Discovery (CD2022). - Thuc Duy Le; Lin Liu 003; Emre Kiciman; Sofia Triantafyllou; Huan Liu 001 (KDD, 2022)

Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. - Thuc Duy Le; Lin Liu 003; Emre Kiciman; Sofia Triantafyllou; Huan Liu 001 (CD@KDD, 2022)

I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation. - Yue Gao 011; Jack W. Stokes; Manoj Ajith Prasad; Andrew T. Marshall; Kassem Fawaz; Emre Kiciman (MILCOM, 2022)

Deep End-to-end Causal Inference. - Tomas Geffner; Javier Antorán; Adam Foster 001; Wenbo Gong 001; Chao Ma 019; Emre Kiciman; Amit Sharma 007; Angus Lamb; Martin Kukla; Nick Pawlowski; Miltiadis Allamanis; Cheng Zhang 005 (CoRR, 2022)

Language Model Decoding as Likelihood-Utility Alignment. - Martin Josifoski; Maxime Peyrard; Frano Rajic; Jiheng Wei; Debjit Paul; Valentin Hartmann; Barun Patra; Vishrav Chaudhary; Emre Kiciman; Boi Faltings; Robert West 001 (CoRR, 2022)

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems. - Parikshit Bansal; Yashoteja Prabhu; Emre Kiciman; Amit Sharma 007 (CoRR, 2022)

Causal Modeling of Soil Processes for Improved Generalization. - Somya Sharma; Swati Sharma; Andy Neal; Sara Malvar; Eduardo Rodrigues; John Crawford; Emre Kiciman; Ranveer Chandra (CoRR, 2022)

Causal Inference in the Presence of Interference in Sponsored Search Advertising. - Razieh Nabi; Joel Pfeiffer; Denis Charles; Emre Kiciman (Frontiers Big Data, 2022)

Language Model Decoding as Likelihood-Utility Alignment. - Martin Josifoski; Maxime Peyrard; Frano Rajic; Jiheng Wei; Debjit Paul; Valentin Hartmann; Barun Patra; Vishrav Chaudhary; Emre Kiciman; Boi Faltings (EACL (Findings), 2023)

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. - Jivat Neet Kaur; Emre Kiciman; Amit Sharma 007 (ICLR, 2023)

An Open-Source Suite of Causal AI Tools and Libraries. - Emre Kiciman (WSDM, 2023)

Counterfactual (Non-)identifiability of Learned Structural Causal Models. - Arash Nasr-Esfahany; Emre Kiciman (CoRR, 2023)

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science. - Somya Sharma; Swati Sharma; Licheng Liu; Rishabh Tushir; Andy Neal; Robert Osazuwa Ness; John Crawford; Emre Kiciman; Ranveer Chandra (CoRR, 2023)

Food Choice Mimicry on a Large University Campus. - Kristina Gligoric; Arnaud Chiolero; Emre Kiciman; Ryen W. White; Eric Horvitz; Robert West 001 (CoRR, 2023)

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. - Javier González Hernández; Cliff Wong; Zelalem Gero; Jass Bagga; Risa Ueno; Isabel Chien; Eduard Oravkin; Emre Kiciman; Aditya V. Nori; Roshanthi Weerasinghe; Rom S. Leidner; Brian Piening; et al. (CoRR, 2023)

Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning. - Sara Abdali; Anjali Parikh; Steve Lim; Emre Kiciman (CoRR, 2023)

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. - Jingwei Yi; Yueqi Xie; Bin Zhu 008; Keegan Hines; Emre Kiciman; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (CoRR, 2023)

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. - Giovanni Monea; Maxime Peyrard; Martin Josifoski; Vishrav Chaudhary; Jason Eisner; Emre Kiciman; Hamid Palangi; Barun Patra; Robert West 001 (ACL (1), 2024)

Defending Against Indirect Prompt Injection Attacks With Spotlighting. - Keegan Hines; Gary Lopez; Matthew Hall; Federico Zarfati; Yonatan Zunger; Emre Kiciman (CAMLIS, 2024)

Observer Effect in Social Media Use. - Koustuv Saha; Pranshu Gupta; Gloria Mark; Emre Kiciman; Munmun De Choudhury (CHI, 2024)

Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization. - Somya Sharma; Swati Sharma; Rafael Padilha; Emre Kiciman; Ranveer Chandra (CoRR, 2024)

Large Language Models as Co-Pilots for Causal Inference in Medical Studies. - Ahmed Alaa; Rachael V. Phillips; Emre Kiciman; Laura Balzer; Mark J. van der Laan; Maya Petersen (CoRR, 2024)

Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots. - Margaret Capetz; Swati Sharma; Rafael Padilha; Peder A. Olsen; Jessica Wolk; Emre Kiciman; Ranveer Chandra (CoRR, 2024)

Deep End-to-end Causal Inference. - Tomas Geffner; Javier Antorán; Adam Foster 001; Wenbo Gong 001; Chao Ma 019; Emre Kiciman; Amit Sharma 007; Angus Lamb; Martin Kukla; Nick Pawlowski; Agrin Hilmkil; Joel Jennings; et al. (Trans. Mach. Learn. Res., 2024)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. - Emre Kiciman; Robert Osazuwa Ness; Amit Sharma 007; Chenhao Tan (Trans. Mach. Learn. Res., 2024)

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. - Katie Matton; Robert Osazuwa Ness; John V. Guttag; Emre Kiciman (ICLR, 2025)

Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. - Jingwei Yi; Yueqi Xie; Bin Zhu 008; Emre Kiciman; Guangzhong Sun; Xing Xie 001; Fangzhao Wu (KDD (1), 2025)

RLTHF: Targeted Human Feedback for LLM Alignment. - Yifei Xu; Tusher Chakraborty; Emre Kiciman; Bibek Aryal; Eduardo Rodrigues; Srinagesh Sharma; Roberto Estevão; Maria Angels de Luis Balaguer; Jessica Wolk; Rafael Padilha; Leonardo O. Nunes; Shobana Balakrishnan; et al. (CoRR, 2025)

Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks. - Yifei Xu; Tusher Chakraborty; Srinagesh Sharma; Leonardo O. Nunes; Emre Kiciman; Songwu Lu; Ranveer Chandra (CoRR, 2025)