Ed H. Chi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
138
Venues
28
Active years
2002–2026
Best venue rank
A*
Where they publish
- A*CHI24 papers
- A*WWW17 papers
- ARecSys17 papers
- A*KDD13 papers
- AWSDM9 papers
- A*ICLR7 papers
- ACIKM7 papers
- A*ICML5 papers
- AIUI5 papers
- AICWSM4 papers
- A*ACL3 papers
- A*EMNLP3 papers
- CAIES3 papers
- ACSCW3 papers
- NationalHCI3 papers
- A*SIGMOD2 papers
- BAVI2 papers
- ANAACL1 paper
- A*SIGIR1 paper
- AAISTATS1 paper
- A*IJCAI1 paper
- A*AAAI1 paper
- ACIDR1 paper
- CCW1 paper
- BHCOMP1 paper
- BECSCW1 paper
- BGroup1 paper
- A*UIST1 paper
Papers
138 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. | Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rmer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng |
| 2026 | WSDM | The Future of Personalized Universal Assistant. | Ed H. Chi |
| 2025 | ACL | User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. | Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma, Yueqi Wang, He Ma, Zhengyang Su, Minmin Chen, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Ningren Han, Haokai Lu |
| 2025 | ICML | ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. | Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng |
| 2025 | ICML | EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration. | Allen Nie, Yi Su, Bo Chang, Jonathan Lee, Ed H. Chi, Quoc V. Le, Minmin Chen |
| 2025 | KDD | Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems. | Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen |
| 2025 | RecSys | Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. | Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han |
| 2025 | RecSys | Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems. | Jonathan Valverde, Tiansheng Yao, Xiang Li, Yuan Gao, Yin Zhang, Andrew Evdokimov, Adam Kraft, Samuel Ieong, Jerry Zhang, Ed H. Chi, Derek Zhiyuan Cheng, Ruoxi Wang |
| 2024 | CHI | Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. | Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi |
| 2024 | ICLR | Large Language Models as Analogical Reasoners. | Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou |
| 2024 | ICLR | Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. | Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou |
| 2024 | ICML | LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. | Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao |
| 2024 | KDD | Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. | Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen |
| 2024 | NAACL | Aligning Large Language Models with Recommendation Knowledge. | Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy |
| 2024 | RecSys | Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. | Yin Zhang, Ruoxi Wang, Xiang Li, Tiansheng Yao, Andrew Evdokimov, Jonathan Valverde, Yuan Gao, Jerry Zhang, Evan Ettinger, Ed H. Chi, Derek Zhiyuan Cheng |
| 2024 | RecSys | Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. | Nikhil Khani, Li Wei, Aniruddh Nath, Shawn Andrews, Shuo Yang, Yang Liu, Pendo Abbo, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi |
| 2024 | RecSys | Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models. | Yuening Li, Diego Uribe, Chuan He, Jiaxi Tang, Qingyun Liu, Junjie Shan, Ben Most, Kaushik Kalyan, Shuchao Bi, Xinyang Yi, Lichan Hong, Ed H. Chi, Liang Liu |
| 2024 | RecSys | Improving Data Efficiency for Recommenders and LLMs. | Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng |
| 2024 | RecSys | Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations. | Anima Singh, Trung Vu, Nikhil Mehta, Raghunandan H. Keshavan, Maheswaran Sathiamoorthy, Yilin Zheng, Lichan Hong, Lukasz Heldt, Li Wei, Devansh Tandon, Ed H. Chi, Xinyang Yi |
| 2024 | RecSys | LLMs for User Interest Exploration in Large-scale Recommendation Systems. | Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen |
| 2024 | RecSys | Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. | Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu |
| 2024 | WWW | Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. | Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen |
| 2024 | WWW | Large Language Models as Data Augmenters for Cold-Start Item Recommendation. | Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen |
| 2024 | WSDM | Long-Term Value of Exploration: Measurements, Findings and Algorithms. | Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen |
| 2023 | ACL | Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. | Mirac Suzgun, Nathan Scales, Nathanael Schrli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei |
| 2023 | CIKM | Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. | Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi |
| 2023 | EMNLP | Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. | Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2023 | ICLR | Self-Consistency Improves Chain of Thought Reasoning in Language Models. | Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou |
| 2023 | ICLR | Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. | Denny Zhou, Nathanael Schrli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi |
| 2023 | ICML | Large Language Models Can Be Easily Distracted by Irrelevant Context. | Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schrli, Denny Zhou |
| 2023 | KDD | Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). | Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi |
| 2023 | KDD | Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. | Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey |
| 2023 | KDD | Improving Training Stability for Multitask Ranking Models in Recommender Systems. | Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi |
| 2023 | KDD | Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. | Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen |
| 2023 | RecSys | Efficient Data Representation Learning in Google-scale Systems. | Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi |
| 2023 | RecSys | Online Matching: A Real-time Bandit System for Large-scale Recommendations. | Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi |
| 2023 | WWW | Latent User Intent Modeling for Sequential Recommenders. | Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen |
| 2023 | WWW | Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. | Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen |
| 2023 | SIGIR | HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. | Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng |
| 2022 | ICML | HyperPrompt: Prompt-based Task-Conditioning of Transformers. | Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi |
| 2022 | KDD | Surrogate for Long-Term User Experience in Recommender Systems. | Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen |
| 2022 | RecSys | Off-Policy Actor-critic for Recommender Systems. | Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi |
| 2022 | WWW | Learning to Augment for Casual User Recommendation. | Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen |
| 2022 | WWW | Can Small Heads Help? Understanding and Improving Multi-Task Generalization. | Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi |
| 2022 | WWW | Distributionally-robust Recommendations for Improving Worst-case User Experience. | Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi |
| 2022 | WSDM | Multi-Resolution Attention for Personalized Item Search. | Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh |
| 2021 | AIES | Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. | Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | AISTATS | Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. | Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei |
| 2021 | CIKM | Self-supervised Learning for Large-scale Item Recommendations. | Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger |
| 2021 | EMNLP | Can We Improve Model Robustness through Secondary Attribute Counterfactuals? | Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel |
| 2021 | ICLR | Batch Reinforcement Learning Through Continuation Method. | Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen |
| 2021 | KDD | Learning to Embed Categorical Features without Embedding Tables for Recommendation. | Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi |
| 2021 | KDD | Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. | Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi |
| 2021 | RecSys | Values of User Exploration in Recommender Systems. | Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi |
| 2021 | WWW | DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. | Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi |
| 2021 | WWW | Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. | Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen |
| 2021 | WWW | A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. | Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi |
| 2021 | WSDM | Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. | Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel |
| 2021 | WSDM | User Response Models to Improve a REINFORCE Recommender System. | Minmin Chen, Bo Chang, Can Xu, Ed H. Chi |
| 2021 | WSDM | Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. | Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui |
| 2020 | CIKM | Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. | Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao |
| 2020 | EMNLP | CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. | Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi |
| 2020 | IJCAI | BRPO: Batch Residual Policy Optimization. | Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier |
| 2020 | RecSys | Deconfounding User Satisfaction Estimation from Response Rate Bias. | Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott, Daniel Li, Chris Haulk, Ed H. Chi, Minmin Chen |
| 2020 | WWW | End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. | Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang |
| 2020 | WWW | Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. | Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi |
| 2020 | WWW | Off-policy Learning in Two-stage Recommender Systems. | Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi |
| 2020 | WWW | Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. | Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi |
| 2020 | WSDM | From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation. | Ed H. Chi |
| 2019 | AAAI | SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. | Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi |
| 2019 | AIES | Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. | Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi |
| 2019 | AIES | Counterfactual Fairness in Text Classification through Robustness. | Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel |
| 2019 | CIDR | SageDB: A Learned Database System. | Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan |
| 2019 | ICLR | AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. | Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi |
| 2019 | ICLR | Efficient Training on Very Large Corpora via Gramian Estimation. | Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson |
| 2019 | KDD | Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. | Francois Belletti, Minmin Chen, Ed H. Chi |
| 2019 | KDD | Fairness in Recommendation Ranking through Pairwise Comparisons. | Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow |
| 2019 | RecSys | Sampling-bias-corrected neural modeling for large corpus item recommendations. | Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi |
| 2019 | RecSys | Recommending what video to watch next: a multitask ranking system. | Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi |
| 2019 | WWW | Towards Neural Mixture Recommender for Long Range Dependent User Sequences. | Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi |
| 2019 | WSDM | Top-K Off-Policy Correction for a REINFORCE Recommender System. | Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi |
| 2018 | CIKM | Practical Diversified Recommendations on YouTube with Determinantal Point Processes. | Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater |
| 2018 | KDD | Q&R: A Two-Stage Approach toward Interactive Recommendation. | Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi |
| 2018 | KDD | Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. | Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi |
| 2018 | RecSys | Categorical-attributes-based item classification for recommender systems. | Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi |
| 2018 | SIGMOD | The Case for Learned Index Structures. | Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis |
| 2018 | WSDM | Latent Cross: Making Use of Context in Recurrent Recommender Systems. | Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi |
| 2016 | CHI | Window Shopping: A Study of Desktop Window Switching. | Andrew Warr, Ed H. Chi, Helen Harris, Alexander Kuscher, Jenn Chen, Robert Flack, Nicholas Jitkoff |
| 2016 | IUI | AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. | Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi |
| 2015 | CHI | Google+ Communities as Plazas and Topic Boards. | Michael J. Brzozowski, Phil Adams, Ed H. Chi |
| 2015 | CHI | Design for Searching & Finding. | Daniel M. Russell, Jaime Teevan, Meredith Ringel Morris, Marti A. Hearst, Ed H. Chi |
| 2015 | CSCW | And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. | Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi |
| 2015 | IUI | Blurring of the Boundary Between Interactive Search and Recommendation. | Ed H. Chi |
| 2014 | ACL | Location and Language Use in Social Media. | Ed H. Chi |
| 2014 | CHI | RepliCHI: the workshop II. | Max L. Wilson, Ed H. Chi, Stuart Reeves, David Coyle |
| 2013 | CHI | Re-testing the Perception of Social Annotations in Web Search. | Jennifer Fernquist, Ed H. Chi |
| 2013 | CHI | All the news that's fit to read: a study of social annotations for news reading. | Chinmay Kulkarni, Ed H. Chi |
| 2013 | CHI | Swipe vs. scroll: web page switching on mobile browsers. | Andrew Warr, Ed H. Chi |
| 2013 | CHI | RepliCHI: the workshop. | Max L. Wilson, Paul Resnick, David Coyle, Ed H. Chi |
| 2013 | CIKM | Instant foodie: predicting expert ratings from grassroots. | Chenhao Tan, Ed H. Chi, David A. Huffaker, Gueorgi Kossinets, Alexander J. Smola |
| 2013 | CW | The Science of Social Interactions on the Web. | Ed H. Chi |
| 2013 | HCOMP | Inserting Micro-Breaks into Crowdsourcing Workflows. | Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai |
| 2013 | WWW | Perception and understanding of social annotations in web search. | Jennifer Fernquist, Ed H. Chi |
| 2012 | CHI | Social annotations in web search. | Aditi S. Muralidharan, Zoltn Gyngyi, Ed H. Chi |
| 2012 | IUI | 2nd Workshop on context-awareness in retrieval and recommendation: (CaRR 2012). | Ernesto William De Luca, Matthias Bhmer, Alan Said, Ed H. Chi |
| 2011 | CHI | The trouble with social computing systems research. | Michael S. Bernstein, Mark S. Ackerman, Ed H. Chi, Robert C. Miller |
| 2011 | CHI | Crowdsourcing and human computation: systems, studies and platforms. | Michael S. Bernstein, Ed H. Chi, Lydia B. Chilton, Bjrn Hartmann, Aniket Kittur, Robert C. Miller |
| 2011 | CHI | Transferability of research findings: context-dependent or model-driven. | Ed H. Chi, Mary Czerwinski, David R. Millen, Dave W. Randall, Gunnar Stevens, Volker Wulf, John Zimmerman |
| 2011 | CHI | Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles. | Brent J. Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi |
| 2011 | CHI | VisualWikiCurator: a corporate Wiki plugin. | Nicholas Kong, Gregorio Convertino, Benjamin V. Hanrahan, Ed H. Chi |
| 2011 | CHI | RepliCHI - CHI should be replicating and validating results more: discuss. | Max L. Wilson, Wendy E. Mackay, Ed H. Chi, Michael S. Bernstein, Daniel M. Russell, Harold W. Thimbleby |
| 2011 | ECSCW | Studying the Adoption of Mail2Tag: an Enterprise2.0 Tool for Sharing. | Les Nelson, Gregorio Convertino, Ed H. Chi, Rowan Nairn |
| 2011 | ICWSM | Language Matters In Twitter: A Large Scale Study. | Lichan Hong, Gregorio Convertino, Ed H. Chi |
| 2011 | ICWSM | Is Twitter a Good Place for Asking Questions? A Characterization Study. | Sharoda A. Paul, Lichan Hong, Ed H. Chi |
| 2011 | IUI | Mail2Wiki: posting and curating Wiki content from email. | Benjamin V. Hanrahan, Thibaud Weksteen, Nicholas Kong, Gregorio Convertino, Guillaume Bouchard, Cdric Archambeau, Ed H. Chi |
| 2011 | IUI | VisualWikiCurator: human and machine intelligencefor organizing wiki content. | Nicholas Kong, Benjamin V. Hanrahan, Thibaud Weksteen, Gregorio Convertino, Ed H. Chi |
| 2010 | AVI | Designing a cross-channel information management tool for workers in enterprise task forces. | Gregorio Convertino, Sanjay Kairam, Lichan Hong, Bongwon Suh, Ed H. Chi |
| 2010 | CHI | Short and tweet: experiments on recommending content from information streams. | Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi |
| 2010 | CHI | FeedWinnower: layering structures over collections of information streams. | Lichan Hong, Gregorio Convertino, Bongwon Suh, Ed H. Chi, Sanjay Kairam |
| 2010 | Group | Clorg: collective intelligence in organizations. | Gregorio Convertino, Antonietta Grasso, Giorgio De Michelis, David R. Millen, Ed H. Chi |
| 2010 | ICWSM | A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction. | Terrell Russell, Bongwon Suh, Ed H. Chi |
| 2010 | UIST | Eddi: interactive topic-based browsing of social status streams. | Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi |
| 2009 | CHI | Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting. | Lichan Hong, Ed H. Chi |
| 2009 | CHI | What's in Wikipedia?: mapping topics and conflict using socially annotated category structure. | Aniket Kittur, Ed H. Chi, Bongwon Suh |
| 2009 | CHI | With a little help from my friends: examining the impact of social annotations in sensemaking tasks. | Les Nelson, Christoph Held, Peter Pirolli, Lichan Hong, Diane J. Schiano, Ed H. Chi |
| 2009 | HCI | A Position Paper on 'Living Laboratories': Rethinking Ecological Designs and Experimentation in Human-Computer Interaction. | Ed H. Chi |
| 2009 | HCI | Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace. | Gregorio Convertino, Lichan Hong, Les Nelson, Peter Pirolli, Ed H. Chi |
| 2009 | HCI | Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment. | Les Nelson, Gregorio Convertino, Peter Pirolli, Lichan Hong, Ed H. Chi |
| 2009 | SIGMOD | Augmented social cognition: using social web technology to enhance the ability of groups to remember, think, and reason. | Ed H. Chi |
| 2008 | CHI | Crowdsourcing user studies with Mechanical Turk. | Aniket Kittur, Ed H. Chi, Bongwon Suh |
| 2008 | CHI | Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard. | Bongwon Suh, Ed H. Chi, Aniket Kittur, Bryan A. Pendleton |
| 2008 | CIKM | Towards a model of understanding social search. | Brynn M. Evans, Ed H. Chi |
| 2008 | CIKM | The social (open) workspace. | David A. Evans, Susan Feldman, Ed H. Chi, Natasa Milic-Frayling, Igor Perisic |
| 2008 | CSCW | Towards a model of understanding social search. | Brynn M. Evans, Ed H. Chi |
| 2008 | CSCW | Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia. | Aniket Kittur, Bongwon Suh, Ed H. Chi |
| 2008 | ICWSM | Understanding the Efficiency of Social Tagging Systems using Information Theory. | Ed H. Chi, Todd Mytkowicz |
| 2007 | CHI | He says, she says: conflict and coordination in Wikipedia. | Aniket Kittur, Bongwon Suh, Bryan A. Pendleton, Ed H. Chi |
| 2002 | AVI | Expressiveness of the data flow and data state models in visualization systems. | Ed H. Chi |