Emre Kiciman - RankMe

140 papers A* 16A 27B 1Misc 3Journal 57Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing. CoRR Yifei Xu, Guilherme Potje, Shivam Shandilya, Tiancheng Yuan, Leonardo O. Nunes, Rakshanda Agarwal, Saeid Asgari, Adam Atkinson, Emre Kiciman, Songwu Lu, Ranveer Chandra, Tusher Chakraborty
2025	—	`conf`	Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models. KDD (1) Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2025	J	`jnl`	Direct Reasoning Optimization: LLMs Can Reward And Refine Their Own Reasoning for Open-Ended Tasks. CoRR Yifei Xu, Tusher Chakraborty, Srinagesh Sharma, Leonardo O. Nunes, Emre Kiciman, Songwu Lu, Ranveer Chandra
2025	J	`jnl`	Enterprise AI Must Enforce Participant-Aware Access Control. CoRR Shashank Shreedhar Bhatt, Tanmay Rajore, Khushboo Aggarwal, Ganesh Ananthanarayanan, Ranveer Chandra, Nishanth Chandran, Suyash Choudhury, Divya Gupta, Emre Kiciman, Sumit Kumar Pandey, Srinath T. V. Setty, Rahul Sharma, Teijia Zhao
2025	A*	`conf`	RLTHF: Targeted Human Feedback for LLM Alignment. ICML Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Srinagesh Sharma, Songwu Lu, Ranveer Chandra
2025	J	`jnl`	RLTHF: Targeted Human Feedback for LLM Alignment. CoRR 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, Songwu Lu, Ranveer Chandra
2025	A*	`conf`	Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. ICLR Katie Matton, Robert Osazuwa Ness, John V. Guttag, Emre Kiciman
2025	J	`jnl`	Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations. CoRR Katie Matton, Robert Osazuwa Ness, John V. Guttag, Emre Kiciman
2024	—	`conf`	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
2024	J	`jnl`	Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. Trans. Mach. Learn. Res. Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
2024	J	`jnl`	Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang
2024	—	`conf`	Defending Against Indirect Prompt Injection Attacks With Spotlighting. CAMLIS Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
2024	J	`jnl`	Defending Against Indirect Prompt Injection Attacks With Spotlighting. CoRR Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman
2024	J	`jnl`	Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization. CoRR Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra
2024	J	`jnl`	Enabling Adoption of Regenerative Agriculture through Soil Carbon Copilots. CoRR Margaret Capetz, Swati Sharma, Rafael Padilha, Peder A. Olsen, Jessica Wolk, Emre Kiciman, Ranveer Chandra
2024	J	`jnl`	Large Language Models as Co-Pilots for Causal Inference in Medical Studies. CoRR Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura Balzer, Mark J. van der Laan, Maya Petersen
2024	A*	`conf`	Observer Effect in Social Media Use. CHI Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury
2023	J	`jnl`	A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West
2023	A	`conf`	An Open-Source Suite of Causal AI Tools and Libraries. WSDM Emre Kiciman
2023	J	`jnl`	Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
2023	J	`jnl`	Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. CoRR Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
2023	J	`jnl`	Counterfactual (Non-)identifiability of Learned Structural Causal Models. CoRR Arash Nasr-Esfahany, Emre Kiciman
2023	J	`jnl`	Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning. CoRR Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman
2023	J	`jnl`	Food Choice Mimicry on a Large University Campus. CoRR Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
2023	J	`jnl`	Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science. CoRR Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Osazuwa Ness, John Crawford, Emre Kiciman, Ranveer Chandra
2023	—	`conf`	Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings
2023	A*	`conf`	Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. ICLR Jivat Neet Kaur, Emre Kiciman, Amit Sharma
2023	J	`jnl`	TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. CoRR 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, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2022	J	`jnl`	Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
2022	J	`jnl`	Causal Modeling of Soil Processes for Improved Generalization. CoRR Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
2022	J	`jnl`	Deep End-to-end Causal Inference. CoRR Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
2022	—	`conf`	I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation. MILCOM Yue Gao, Jack W. Stokes, Manoj Ajith Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
2022	A*	`conf`	Invariant Language Modeling. EMNLP Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West
2022	A*	`conf`	Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
2022	J	`jnl`	Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar
2022	J	`jnl`	Language Model Decoding as Likelihood-Utility Alignment. CoRR Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West
2022	J	`jnl`	Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. CoRR Jivat Neet Kaur, Emre Kiciman, Amit Sharma
2022	—	`conf`	Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	A*	`conf`	The KDD 2022 Workshop on Causal Discovery (CD2022). KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	—	`ed.`	The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA CD@KDD Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
2022	J	`jnl`	Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems. CoRR Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
2021	A	`conf`	Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman
2021	J	`jnl`	DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions. CoRR Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kiciman
2021	J	`jnl`	Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study. CoRR Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
2021	J	`jnl`	Formation of Social Ties Influences Food Choice: A Campus-wide Longitudinal Study. Proc. ACM Hum. Comput. Interact. Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West
2021	J	`jnl`	Invariant Language Modeling. CoRR Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West
2021	J	`jnl`	Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. CoRR Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
2021	J	`jnl`	Population-scale dietary interests during the COVID-19 pandemic. CoRR Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West
2021	A	`conf`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2020	A*	`conf`	AvE: Assistance via Empowerment. NeurIPS Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
2020	J	`jnl`	AvE: Assistance via Empowerment. CoRR Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
2020	—	`conf`	Causal Inference and Counterfactual Reasoning. COMAD/CODS Amit Sharma, Emre Kiciman
2020	J	`jnl`	Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman
2020	J	`jnl`	Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. CoRR Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman
2020	J	`jnl`	DoWhy: An End-to-End Library for Causal Inference. CoRR Amit Sharma, Emre Kiciman
2020	J	`jnl`	Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction. ACM Trans. Soc. Comput. Sanjaya Wijeratne, Horacio Saggion, Emre Kiciman, Amit P. Sheth
2020	A	`conf`	External Information Sharing on Health Forums: An Exploration. ICWSM Dana M. Nguyen, Alexandra Olteanu, Emre Kiciman
2020	J	`jnl`	Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
2020	—	`conf`	Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2020	—	`ed.`	Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), San Diego, CA, USA, 24 August 2020. CD@KDD Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2020	J	`jnl`	Security and Machine Learning in the Real World. CoRR Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li
2020	J	`jnl`	Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
2019	A*	`conf`	A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. AAAI Maggie Makar, Adith Swaminathan, Emre Kiciman
2019	A	`conf`	A Social Media Study on the Effects of Psychiatric Medication Use. ICWSM Koustuv Saha, Benjamin Sugar, John B. Torous, Bruno D. Abrahao, Emre Kiciman, Munmun De Choudhury
2019	A	`conf`	Causal Inference and Counterfactual Reasoning (3hr Tutorial). WSDM Emre Kiciman, Amit Sharma
2019	A*	`conf`	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	A	`conf`	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WSDM Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	—	`conf`	Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019	J	`jnl`	Introduction to the Special Section on Advances in Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui
2019	J	`jnl`	Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality. Int. J. Data Sci. Anal. Mehrdad Farajtabar, Emre Kiciman, Girish Nathan, Ryen W. White
2019	—	`conf`	Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2019	—	`ed.`	Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019 CD@KDD Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen
2019	J	`jnl`	Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Frontiers Big Data Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman
2019	B	`conf`	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
2019	J	`jnl`	What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar
2018	A	`conf`	A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. WSDM Alexandra Olteanu, Emre Kiciman, Carlos Castillo
2018	—	`conf`	Answering What If, Should I, and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data. DESIRES Emre Kiciman, Jorgen Thelin
2018	A*	`conf`	Causal Inference over Longitudinal Data to Support Expectation Exploration. SIGIR Emre Kiciman
2018	J	`jnl`	Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash
2018	J	`jnl`	Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health. AI Mag. Munmun De Choudhury, Emre Kiciman
2018	—	`conf`	Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. CD@KDD Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu
2018	—	`ed.`	Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2018, London, UK, 20 August 2018. CD@KDD Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu
2018	A	`conf`	Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use. ICWSM Emre Kiciman, Scott Counts, Melissa Gasser
2017	A	`conf`	Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media. CSCW Alexandra Olteanu, Onur Varol, Emre Kiciman
2017	A	`conf`	The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk. ICWSM Munmun De Choudhury, Emre Kiciman
2017	J	`jnl`	Wildbook: Crowdsourcing, computer vision, and data science for conservation. CoRR 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
2016	A	`conf`	Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media. CSCW Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman
2016	A*	`conf`	Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. CHI Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar
2016	—	`conf`	Information dissemination in heterogeneous-intent networks. WebSci Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol
2016	J	`jnl`	Reports of the AAAI 2016 Spring Symposium Series. AI Mag. Christopher Amato, Ofra Amir, Joanna Bryson, Barbara J. Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, William F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek, Andrew Specian, Georgi Stojanov, Keiki Takadama
2016	J	`jnl`	Smart Societies: From Citizens as Sensors to Collective Action. CoRR Andrés Monroy-Hernández, Shelly Farnham, Emre Kiciman, Scott Counts, Munmun De Choudhury
2016	A	`conf`	Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines. ICWSM Alexandra Olteanu, Onur Varol, Emre Kiciman
2015	J	`jnl`	Narcotweets: Social Media in Wartime. CoRR Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
2015	—	`conf`	Persona-ization: Searching on Behalf of Others. SPS@SIGIR Paul N. Bennett, Emre Kiciman
2015	J	`jnl`	The New War Correspondents: the Rise of Civic Media Curation in Urban Warfare. CoRR Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Scott Counts
2015	A*	`conf`	Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. KDD Emre Kiciman, Matthew Richardson
2015	—	`conf`	Towards Learning a Knowledge Base of Actions from Experiential Microblogs. AAAI Spring Symposia Emre Kiciman
2014	A	`conf`	Discussion Graphs: Putting Social Media Analysis in Context. ICWSM Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson
2014	A	`conf`	Entity linking at the tail: sparse signals, unknown entities, and phrase models. WSDM Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd
2013	A	`ed.`	Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013. ICWSM Emre Kiciman, Nicole B. Ellison, Bernie Hogan, Paul Resnick, Ian Soboroff
2013	J	`jnl`	Smart societies: from citizens as sensors to collective action. Interactions Andrés Monroy-Hernández, Shelly Farnham, Emre Kiciman, Scott Counts, Munmun De Choudhury
2013	Misc	`conf`	Sparse lexical representation for semantic entity resolution. ICASSP Yuzhe Jin, Kuansan Wang, Emre Kiciman
2013	A	`conf`	The new war correspondents: he rise of civic media curation in urban warfare. CSCW Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Scott Counts
2013	—	`conf`	To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL Stephen D. Guo, Ming-Wei Chang, Emre Kiciman
2012	A	`conf`	Click patterns: an empirical representation of complex query intents. CIKM Huizhong Duan, Emre Kiciman, ChengXiang Zhai
2012	—	`conf`	Keeping information safe from social networking apps. WOSN Bimal Viswanath, Emre Kiciman, Stefan Saroiu
2012	A	`conf`	Narcotweets: Social Media in Wartime. ICWSM Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts
2012	A	`conf`	OMG, I Have to Tweet that! A Study of Factors that Influence Tweet Rates. ICWSM Emre Kiciman
2010	J	`jnl`	AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications. ACM Trans. Web Emre Kiciman, V. Benjamin Livshits
2010	—	`conf`	Fluxo: a system for internet service programming by non-expert developers. SoCC Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi, Kevin C. Webb
2010	A	`conf`	How to Share Your Favourite Search Results while Preserving Privacy and Quality. Privacy Enhancing Technologies George Danezis, Tuomas Aura, Shuo Chen, Emre Kiciman
2010	—	`ed.`	Proceedings of the 7th International Conference on Autonomic Computing, ICAC 2010, Washington, DC, USA, June 7-11, 2010 ICAC Manish Parashar, Renato J. O. Figueiredo, Emre Kiciman
2009	—	`conf`	CatchAndRetry: extending exceptions to handle distributed system failures and recovery. PLOS@SOSP Emre Kiciman, Benjamin Livshits, Madanlal Musuvathi
2009	A	`conf`	FLUXO: A Simple Service Compiler. HotOS Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi
2009	A	`conf`	Improving the responsiveness of internet services with automatic cache placement. EuroSys Alexander Rasmussen, Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi
2009	—	`ed.`	Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds, ACDC@ICAC 2009, Barcelona, Spain, June 19, 2009 ACDC@ICAC Jeffrey S. Chase, Emre Kiciman, Rich Wolski
2008	—	`conf`	Doloto: code splitting for network-bound web 2.0 applications. SIGSOFT FSE V. Benjamin Livshits, Emre Kiciman
2007	A*	`conf`	AjaxScope: a platform for remotely monitoring the client-side behavior of web 2.0 applications. SOSP Emre Kiciman, V. Benjamin Livshits
2007	—	`conf`	Fast Variational Inference for Large-scale Internet Diagnosis. NIPS John C. Platt, Emre Kiciman, David A. Maltz
2007	A	`conf`	Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications. HotOS Emre Kiciman, Helen J. Wang
2006	—	`conf`	Analyzing persistent state interactions to improve state management. SIGMETRICS/Performance Chad Verbowski, Emre Kiciman, Brad Daniels, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee
2006	—	`conf`	Autonomic network management: some pragmatic considerations. INM@SIGCOMM Richard Mortier, Emre Kiciman
2006	J	`jnl`	Autonomous recovery in componentized Internet applications. Clust. Comput. George Candea, Emre Kiciman, Shinichi Kawamoto, Armando Fox
2006	A*	`conf`	Flight Data Recorder: Monitoring Persistent-State Interactions to Improve Systems Management. OSDI Chad Verbowski, Emre Kiciman, Arunvijay Kumar, Brad Daniels, Shan Lu, Juhan Lee, Yi-Min Wang, Roussi Roussev
2006	—	`conf`	Mining web logs to debug distant connectivity problems. MineNet Emre Kiciman, David A. Maltz, Moisés Goldszmidt, John C. Platt
2005	J	`jnl`	Detecting application-level failures in component-based Internet services. IEEE Trans. Neural Networks Emre Kiciman, Armando Fox
2005	—	`—`	Using statistical monitoring to detect failures in internet services. Emre Kiciman
2004	—	`conf`	Combining statistical monitoring and predictable recovery for self-management. WOSS Armando Fox, Emre Kiciman, David A. Patterson
2004	Misc	`conf`	Path-Based Failure and Evolution Management. NSDI Mike Y. Chen, Anthony J. Accardi, Emre Kiciman, David A. Patterson, Armando Fox, Eric A. Brewer
2004	Misc	`conf`	Session State: Beyond Soft State. NSDI Benjamin C. Ling, Emre Kiciman, Armando Fox
2003	—	`conf`	JAGR: An Autonomous Self-Recovering Application Server. Active Middleware Services George Candea, Emre Kiciman, Steve Zhang, Pedram Keyani, Armando Fox
2003	A*	`conf`	Portability, Extensibility and Robustness in iROS. PerCom Shankar Ponnekanti, Brad Johanson, Emre Kiciman, Armando Fox
2003	A	`conf`	Using Runtime Paths for Macroanalysis. HotOS Mike Y. Chen, Emre Kiciman, Anthony J. Accardi, Armando Fox, Eric A. Brewer
2002	—	`conf`	An online evolutionary approach to developing internet services. ACM SIGOPS European Workshop Mike Y. Chen, Emre Kiciman, Eric A. Brewer
2002	A	`conf`	Pinpoint: Problem Determination in Large, Dynamic Internet Services. DSN Mike Y. Chen, Emre Kiciman, Eugene Fratkin, Armando Fox, Eric A. Brewer
2002	J	`jnl`	The Roma Personal Metadata Service. Mob. Networks Appl. Edward Swierk, Emre Kiciman, Nathan C. Williams, Takashi Fukushima, Hideki Yoshida, Vince Laviano, Mary Baker
2001	A	`conf`	Towards Zero-Code Service Composition. HotOS Emre Kiciman, Laurence Melloul, Armando Fox
2000	J	`jnl`	ICEBERG: an Internet core network architecture for integrated communications. IEEE Wirel. Commun. Helen J. Wang, Bhaskaran Raman, Chen-Nee Chuah, Rahul Biswas, Ramakrishna Gummadi, Barbara Hohlt, Xia Hong, Emre Kiciman, Zhuoqing Morley Mao, Jimmy S. Shih, Lakshminarayanan Subramanian, Ben Y. Zhao, Anthony D. Joseph, Randy H. Katz
2000	—	`conf`	The Roma personal metadata service. WMCSA Edward Swierk, Emre Kiciman, Vince Laviano, Mary Baker
2000	—	`conf`	Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment. HUC Emre Kiciman, Armando Fox