Ed H. Chi

According to our database, Ed H. Chi authored at least 241 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.

Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

CoRR, 2024

Large Language Models as Data Augmenters for Cold-Start Item Recommendation.

Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen

CoRR, 2024

How to Train Data-Efficient LLMs.

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng

CoRR, 2024

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

CoRR, 2024

Self-Discover: Large Language Models Self-Compose Reasoning Structures.

Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng

CoRR, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses.

Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi

CoRR, 2023

Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.

Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi

CoRR, 2023

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

CoRR, 2023

Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication.

Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi

CoRR, 2023

Large Language Models as Analogical Reasoners.

Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou

CoRR, 2023

Density Weighting for Multi-Interest Personalized Recommendation.

Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi

CoRR, 2023

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.

Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy

CoRR, 2023

Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems.

Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen

CoRR, 2023

Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations.

Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen

CoRR, 2023

Large Language Models for User Interest Journeys.

Konstantina Christakopoulou, Alberto Lalama, Cj Adams, Iris Qu, Yifat Amir, Samer Chucri, Pierce Vollucci, Fabio Soldo, Dina Bseiso, Sarah Scodel, Lucas Dixon, Ed H. Chi, Minmin Chen

CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel

CoRR, 2023

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

CoRR, 2023

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

CoRR, 2023

What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel.

Yao Qin, Xuezhi Wang, Balaji Lakshminarayanan, Ed H. Chi, Alex Beutel

CoRR, 2023

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.

Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Latent User Intent Modeling for Sequential Recommenders.

Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Recommender Systems with Generative Retrieval.

Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems.

Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Large Language Models Can Be Easily Distracted by Irrelevant Context.

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou

Proceedings of the International Conference on Machine Learning, 2023

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Emergent Abilities of Large Language Models.

Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus

Trans. Mach. Learn. Res., 2022

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

CoRR, 2022

Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations.

Flavien Prost, Ben Packer, Jilin Chen, Li Wei, Pierre Kremp, Nick Blumm, Susan Wang, Tulsee Doshi, Tonia Osadebe, Lukasz Heldt, Ed H. Chi, Alex Beutel

CoRR, 2022

Reward Shaping for User Satisfaction in a REINFORCE Recommender.

Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

CoRR, 2022

Rationale-Augmented Ensembles in Language Models.

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2022

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed H. Chi

CoRR, 2022

Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2022

Algorithms for Efficiently Learning Low-Rank Neural Networks.

Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi

CoRR, 2022

Chain of Thought Prompting Elicits Reasoning in Large Language Models.

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, Denny Zhou

CoRR, 2022

Recency Dropout for Recurrent Recommender Systems.

Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen

CoRR, 2022

LaMDA: Language Models for Dialog Applications.

Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Agüera y Arcas, Claire Cui, Marian Croak, Ed H. Chi, Quoc Le

CoRR, 2022

Distributionally-robust Recommendations for Improving Worst-case User Experience.

Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning to Augment for Casual User Recommendation.

Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Off-Policy Actor-critic for Recommender Systems.

Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Multi-Task Generalization via Regularizing Spurious Correlation.

Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

2021

Measuring Recommender System Effects with Simulated Users.

Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Proceedings of the WSDM '21, 2021

User Response Models to Improve a REINFORCE Recommender System.

Minmin Chen, Bo Chang, Can Xu, Ed H. Chi

Proceedings of the WSDM '21, 2021

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

Proceedings of the WSDM '21, 2021

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

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Improving Calibration through the Relationship with Adversarial Robustness.

Yao Qin, Xuezhi Wang, Alex Beutel, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.

Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning.

Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Batch Reinforcement Learning Through Continuation Method.

Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen

Proceedings of the 9th International Conference on Learning Representations, 2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?

Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Learned Indexes for a Google-scale Disk-based Database.

Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston

CoRR, 2020

Deep Hash Embedding for Large-Vocab Categorical Feature Representations.

Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

CoRR, 2020

DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.

Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi

CoRR, 2020

Small Towers Make Big Differences.

Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi

CoRR, 2020

Self-supervised Learning for Deep Models in Recommendations.

Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger

CoRR, 2020

Improving Uncertainty Estimates through the Relationship with Adversarial Robustness.

Yao Qin, Xuezhi Wang, Alex Beutel, Ed H. Chi

CoRR, 2020

Developing a Recommendation Benchmark for MLPerf Training and Inference.

Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang

CoRR, 2020

Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing.

Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed H. Chi

CoRR, 2020

Understanding and Improving Knowledge Distillation.

Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain

CoRR, 2020

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

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation.

Ed H. Chi

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

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

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Fairness without Demographics through Adversarially Reweighted Learning.

Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BRPO: Batch Residual Policy Optimization.

Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems.

Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2019

Toward a better trade-off between performance and fairness with kernel-based distribution matching.

Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2019

Transfer of Machine Learning Fairness across Domains.

Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi

CoRR, 2019

Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs.

Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington

CoRR, 2019

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

Proceedings of the World Wide Web Conference, 2019

Top-K Off-Policy Correction for a REINFORCE Recommender System.

Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

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

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Quantifying Long Range Dependence in Language and User Behavior to improve RNNs.

Francois Belletti, Minmin Chen, Ed H. Chi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Proceedings of the 7th International Conference on Learning Representations, 2019

AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks.

Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi

Proceedings of the 7th International Conference on Learning Representations, 2019

SageDB: A Learned Database System.

Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

Counterfactual Fairness in Text Classification through Robustness.

Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

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

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

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

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Evaluation and Refinement of Clustered Search Results with the Crowd.

Amy X. Zhang, Jilin Chen, Wei Chai, Jinjun Xu, Lichan Hong, Ed H. Chi

ACM Trans. Interact. Intell. Syst., 2018

Seq2Slate: Re-ranking and Slate Optimization with RNNs.

Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi

CoRR, 2018

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

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

The Case for Learned Index Structures.

Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis

Proceedings of the 2018 International Conference on Management of Data, 2018

Categorical-attributes-based item classification for recommender systems.

Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Q&R: A Two-Stage Approach toward Interactive Recommendation.

Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Practical Diversified Recommendations on YouTube with Determinantal Point Processes.

Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Factorized Recurrent Neural Architectures for Longer Range Dependence.

Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.

Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi

CoRR, 2017

Technical perspective: Humans and computers working together on hard tasks.

Ed H. Chi

Commun. ACM, 2017

Beyond Globally Optimal: Focused Learning for Improved Recommendations.

Alex Beutel, Ed Huai-hsin Chi, Zhiyuan Cheng, Hubert Pham, John R. Anderson

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results.

Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

Video Watch Time and Comment Sentiment: Experiences from YouTube.

Rong Yang, Sarvjeet Singh, Pei Cao, Ed H. Chi, Bo Fu

Proceedings of the Fourth IEEE Workshop on Hot Topics in Web Systems and Technologies, 2016

Window Shopping: A Study of Desktop Window Switching.

Andrew Warr, Ed H. Chi, Helen Harris, Alexander Kuscher, Jenn Chen, Robert Flack, Nicholas Jitkoff

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

1st International Workshop on Multilingual Web Access (MWA 2015).

Ben Steichen, Nicola Ferro, David Lewis, Ed H. Chi

SIGIR Forum, 2015

Improving User Topic Interest Profiles by Behavior Factorization.

Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Huai-hsin Chi

Proceedings of the 24th International Conference on World Wide Web, 2015

Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning.

Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Blurring of the Boundary Between Interactive Search and Recommendation.

Ed H. Chi

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions.

Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

Design for Searching & Finding.

Daniel M. Russell, Jaime Teevan, Meredith Ringel Morris, Marti A. Hearst, Ed H. Chi

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Google+ Communities as Plazas and Topic Boards.

Michael J. Brzozowski, Phil Adams, Ed H. Chi

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

RepliCHI: the workshop II.

Max L. Wilson, Ed H. Chi, Stuart Reeves, David Coyle

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Location and Language Use in Social Media.

Ed H. Chi

Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

Looking Back: Retrospective Study Methods for HCI.

Daniel M. Russell, Ed H. Chi

Proceedings of the Ways of Knowing in HCI, 2014

Crowdsourcing in HCI Research.

Serge Egelman, Ed H. Chi, Steven Dow

Proceedings of the Ways of Knowing in HCI, 2014

2013

Already up? using mobile phones to track & share sleep behavior.

Alireza Sahami Shirazi, James Clawson, Yashar Hassanpour, Mohammad J. Tourian, Albrecht Schmidt, Ed H. Chi, Marko Borazio, Kristof Van Laerhoven

Int. J. Hum. Comput. Stud., 2013

Perception and understanding of social annotations in web search.

Jennifer Fernquist, Ed H. Chi

Proceedings of the 22nd International World Wide Web Conference, 2013

The false dichotomy between accessibility and usability.

Ed H. Chi

Proceedings of the International Cross-Disciplinary Conference on Web Accessibility, 2013

Inserting Micro-Breaks into Crowdsourcing Workflows.

Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

The Science of Social Interactions on the Web.

Ed H. Chi

Proceedings of the 2013 International Conference on Cyberworlds, 2013

Instant foodie: predicting expert ratings from grassroots.

Chenhao Tan, Ed H. Chi, David A. Huffaker, Gueorgi Kossinets, Alexander J. Smola

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

RepliCHI: the workshop.

Max L. Wilson, Paul Resnick, David Coyle, Ed H. Chi

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Swipe vs. scroll: web page switching on mobile browsers.

Andrew Warr, Ed H. Chi

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

All the news that's fit to read: a study of social annotations for news reading.

Chinmay Kulkarni, Ed H. Chi

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Re-testing the Perception of Social Annotations in Web Search.

Jennifer Fernquist, Ed H. Chi

Proceedings of the CHI 2013 Workshop on the Replication of HCI Research, 2013

2012

Leveraging Online Populations for Crowdsourcing [Guest editors' introduction].

Ed H. Chi, Michael S. Bernstein

IEEE Internet Comput., 2012

Who is Authoritative? Understanding Reputation Mechanisms in Quora

Sharoda A. Paul, Lichan Hong, Ed H. Chi

CoRR, 2012

Online privacy; replicating research results.

Daniel Reed, Ed H. Chi

Commun. ACM, 2012

Who knows?: searching for expertise on the social web: technical perspective.

Ed H. Chi

Commun. ACM, 2012

2nd Workshop on context-awareness in retrieval and recommendation: (CaRR 2012).

Ernesto William De Luca, Matthias Böhmer, Alan Said, Ed H. Chi

Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

RepliCHI SIG: from a panel to a new submission venue for replication.

Max L. Wilson, Wendy E. Mackay, Ed Huai-hsin Chi, Michael S. Bernstein, Jeffrey Nichols

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Social annotations in web search.

Aditi S. Muralidharan, Zoltán Gyöngyi, Ed H. Chi

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

Talking in circles: selective sharing in google+.

Sanjay Kairam, Mike Brzozowski, David A. Huffaker, Ed Huai-hsin Chi

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011

Reviewing peer review.

Jeannette M. Wing, Ed H. Chi

Commun. ACM, 2011

Apples to oranges?: comparing across studies of open collaboration/peer production.

Judd Antin, Ed H. Chi, James Howison, Sharoda A. Paul, Aaron D. Shaw, Jude Yew

Proceedings of the 7th International Symposium on Wikis and Open Collaboration, 2011

VisualWikiCurator: human and machine intelligencefor organizing wiki content.

Nicholas Kong, Benjamin V. Hanrahan, Thiébaud Weksteen, Gregorio Convertino, Ed H. Chi

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Mail2Wiki: posting and curating Wiki content from email.

Benjamin V. Hanrahan, Thiébaud Weksteen, Nicholas Kong, Gregorio Convertino, Guillaume Bouchard, Cédric Archambeau, Ed H. Chi

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Is Twitter a Good Place for Asking Questions? A Characterization Study.

Sharoda A. Paul, Lichan Hong, Ed H. Chi

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Language Matters In Twitter: A Large Scale Study.

Lichan Hong, Gregorio Convertino, Ed H. Chi

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Studying the Adoption of Mail2Tag: an Enterprise2.0 Tool for Sharing.

Les Nelson, Gregorio Convertino, Ed H. Chi, Rowan Nairn

Proceedings of the Twelfth European Conference on Computer Supported Cooperative Work, 2011

Mail2Tag: Augmenting email for sharing with implicit tag-based categorization.

Les Nelson, Rowan Nairn, Ed H. Chi, Gregorio Convertino

Proceedings of the 2011 International Conference on Collaboration Technologies and Systems, 2011

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

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

From slacktivism to activism: participatory culture in the age of social media.

Dana Rotman, Sarah Vieweg, Sarita Yardi, Ed Huai-hsin Chi, Jenny Preece, Ben Shneiderman, Peter Pirolli, Tom Glaisyer

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

VisualWikiCurator: a corporate Wiki plugin.

Nicholas Kong, Gregorio Convertino, Benjamin V. Hanrahan, Ed H. Chi

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

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

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

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

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Speak little and well: recommending conversations in online social streams.

Jilin Chen, Rowan Nairn, Ed Huai-hsin Chi

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Crowdsourcing and human computation: systems, studies and platforms.

Michael S. Bernstein, Ed H. Chi, Lydia B. Chilton, Björn Hartmann, Aniket Kittur, Robert C. Miller

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

The trouble with social computing systems research.

Michael S. Bernstein, Mark S. Ackerman, Ed H. Chi, Robert C. Miller

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Mail2Wiki: low-cost sharing and early curation from email to wikis.

Benjamin V. Hanrahan, Guillaume Bouchard, Gregorio Convertino, Thiébaud Weksteen, Nicholas Kong, Cédric Archambeau, Ed H. Chi

Proceedings of the Fifth International Conference on Communities and Technologies, 2011

2010

An elaborated model of social search.

Brynn M. Evans, Ed H. Chi

Inf. Process. Manag., 2010

Advancing the Design of Technology-Mediated Social Participation Systems.

Ed H. Chi, Sean Munson, Gerhard Fischer, Sarah Vieweg, Cynthia Parr

Computer, 2010

The chaos of the internet as an external brain; and more.

Greg Linden, Ed H. Chi, Mark Guzdial

Commun. ACM, 2010

Expanding CS education; improving software development.

Ed H. Chi, Ruben Ortega

Commun. ACM, 2010

Model-Driven Research in Human-Centric Computing.

Ed H. Chi

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2010

Eddi: interactive topic-based browsing of social status streams.

Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi

Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology, 2010

Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network.

Bongwon Suh, Lichan Hong, Peter Pirolli, Ed H. Chi

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Keynote: Model-Driven Research in Human-Computer Interaction.

Ed H. Chi

Proceedings of the Mensch & Computer 2010: Interaktive Kulturen, 2010

A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction.

Terrell Russell, Bongwon Suh, Ed H. Chi

Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

Clorg: collective intelligence in organizations.

Gregorio Convertino, Antonietta Grasso, Giorgio De Michelis, David R. Millen, Ed H. Chi

Proceedings of the 2010 International ACM SIGGROUP Conference on Supporting Group Work, 2010

FeedWinnower: layering structures over collections of information streams.

Lichan Hong, Gregorio Convertino, Bongwon Suh, Ed H. Chi, Sanjay Kairam

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Short and tweet: experiments on recommending content from information streams.

Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi

Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Designing a cross-channel information management tool for workers in enterprise task forces.

Gregorio Convertino, Sanjay Kairam, Lichan Hong, Bongwon Suh, Ed H. Chi

Proceedings of the International Conference on Advanced Visual Interfaces, 2010

2009

Information Seeking Can Be Social.

Ed H. Chi

Computer, 2009

The singularity is not near: slowing growth of Wikipedia.

Bongwon Suh, Gregorio Convertino, Ed H. Chi, Peter Pirolli

Proceedings of the 2009 International Symposium on Wikis, 2009

Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities.

Nicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Michael Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole

Proceedings of the User Modeling, 2009

Augmented social cognition: using social web technology to enhance the ability of groups to remember, think, and reason.

Ed H. Chi

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

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

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace.

Gregorio Convertino, Lichan Hong, Les Nelson, Peter Pirolli, Ed H. Chi

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

A Position Paper on 'Living Laboratories': Rethinking Ecological Designs and Experimentation in Human-Computer Interaction.

Ed H. Chi

Proceedings of the Human-Computer Interaction. New Trends, 13th International Conference, 2009

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

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

What's in Wikipedia?: mapping topics and conflict using socially annotated category structure.

Aniket Kittur, Ed H. Chi, Bongwon Suh

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Signpost from the masses: learning effects in an exploratory social tag search browser.

Yvonne Kammerer, Rowan Nairn, Peter Pirolli, Ed Huai-hsin Chi

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting.

Lichan Hong, Ed H. Chi

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008

The Social Web: Research and Opportunities.

Ed H. Chi

Computer, 2008

Understanding the efficiency of social tagging systems using information theory.

Ed H. Chi, Todd Mytkowicz

Proceedings of the HYPERTEXT 2008, 2008

Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia.

Aniket Kittur, Bongwon Suh, Ed H. Chi

Proceedings of the 2008 ACM Conference on Computer Supported Cooperative Work, 2008

The social (open) workspace.

David A. Evans, Susan Feldman, Ed H. Chi, Natasa Milic-Frayling, Igor Perisic

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Towards a model of understanding social search.

Brynn M. Evans, Ed H. Chi

Proceedings of the Proceeding of the 2008 ACM Workshop on Search in Social Media, 2008

Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard.

Bongwon Suh, Ed H. Chi, Aniket Kittur, Bryan A. Pendleton

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Crowdsourcing user studies with Mechanical Turk.

Aniket Kittur, Ed H. Chi, Bongwon Suh

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

Activity-based serendipitous recommendations with the Magitti mobile leisure guide.

Victoria Bellotti, James Bo Begole, Ed Huai-hsin Chi, Nicolas Ducheneaut, Ji Fang, Ellen Isaacs, Tracy Holloway King, Mark W. Newman, Kurt Partridge, Bob Price, Paul Rasmussen, Michael Roberts, Diane J. Schiano, Alan Walendowski

Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

SparTag.us: a low cost tagging system for foraging of web content.

Lichan Hong, Ed Huai-hsin Chi, Raluca Budiu, Peter Pirolli, Les Nelson

Proceedings of the working conference on Advanced Visual Interfaces, 2008

Augmented Social Cognition.

Ed H. Chi, Peter Pirolli, Bongwon Suh, Aniket Kittur, Bryan A. Pendleton, Todd Mytkowicz

Proceedings of the Social Information Processing, 2008

2007

ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages.

Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card, Michelle Gumbrecht

Inf. Vis., 2007

Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations.

Bongwon Suh, Ed H. Chi, Bryan A. Pendleton, Aniket Kittur

Proceedings of the 2nd IEEE Symposium on Visual Analytics Science and Technology, 2007

Aspects of Augmented Social Cognition: Social Information Foraging and Social Search.

Ed Huai-hsin Chi, Peter Pirolli, Shyong K. Lam

Proceedings of the Online Communities and Social Computing, 2007

Visual Foraging of Highlighted Text: An Eye-Tracking Study.

Ed Huai-hsin Chi, Michelle Gumbrecht, Lichan Hong

Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007

He says, she says: conflict and coordination in Wikipedia.

Aniket Kittur, Bongwon Suh, Bryan A. Pendleton, Ed H. Chi

Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007

2006

Entity Workspace: An Evidence File That Aids Memory, Inference, and Reading.

Eric A. Bier, Edward W. Ishak, Ed Huai-hsin Chi

Proceedings of the Intelligence and Security Informatics, 2006

Scentindex: Conceptually Reorganizing Subject Indexes for Reading.

Ed H. Chi, Lichan Hong, Julie Heiser, Stuart K. Card

Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006

Entity quick click: rapid text copying based on automatic entity extraction.

Eric A. Bier, Edward W. Ishak, Ed Huai-hsin Chi

Proceedings of the Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, 2006

2005

Guest Editors' Introduction: Pervasive Computing in Sports Technologies.

Ed H. Chi, Gaetano Borriello, G. Hunt, Nigel Davies

IEEE Pervasive Comput., 2005

Introducing wearable force sensors in martial arts.

Ed H. Chi

IEEE Pervasive Comput., 2005

ScentHighlights: highlighting conceptually-related sentences during reading.

Ed Huai-hsin Chi, Lichan Hong, Michelle Gumbrecht, Stuart K. Card

Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

Annotating 3D electronic books.

Lichan Hong, Ed Huai-hsin Chi, Stuart K. Card

Proceedings of the Extended Abstracts Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

2004

"Killer App" of wearable computing: wireless force sensing body protectors for martial arts.

Ed Huai-hsin Chi, Jin Song, Greg Corbin

Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004

eBooks with indexes that reorganize conceptually.

Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card

Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

3Book: a scalable 3D virtual book.

Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi

Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

3Book: a 3D electronic smart book.

Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi

Proceedings of the working conference on Advanced visual interfaces, 2004

2003

ScentTrails: integrating browsing and searching on the Web.

Christopher Olston, Ed Huai-hsin Chi

Interactions, 2003

The bloodhound project: automating discovery of web usability issues using the InfoScent simulator.

Ed Huai-hsin Chi, Adam Rosien, Gesara Supattanasiri, Amanda Williams, Christiaan Royer, Celia Chow, Erica Robles, Brinda Dalal, Julie Chen, Steve B. Cousins

Proceedings of the 2003 Conference on Human Factors in Computing Systems, 2003

2002

Improving Web Usability Through Visualization.

Ed Huai-hsin Chi

IEEE Internet Comput., 2002

LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition.

Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer

Proceedings of the WEBKDD 2002, 2002

Separating the swarm: categorization methods for user sessions on the web.

Jeffrey Heer, Ed Huai-hsin Chi

Proceedings of the CHI 2002 Conference on Human Factors in Computing Systems: Changing our World, 2002

Expressiveness of the data flow and data state models in visualization systems.

Ed H. Chi

Proceedings of the Working Conference on Advanced Visual Interfaces, 2002

2001

Using information scent to model user information needs and actions and the Web.

Ed Huai-hsin Chi, Peter Pirolli, Kim Chen, James E. Pitkow

Proceedings of the CHI 2001 Conference on Human Factors in Computing Systems, Seattle, WA, USA, March 31, 2001

2000

Novel visualization method for biological sequence similarity reports.

Ed H. Chi, John Riedl, Elizabeth Shoop, Phillip Barry

J. Electronic Imaging, 2000

Case Study: Resource Steering in a Visualization System.

Ed H. Chi, John Riedl

Proceedings of the 2nd Joint Eurographics - IEEE TCVG Symposium on Visualization, 2000

A Taxonomy of Visualization Techniques Using the Data State Reference Model.

Ed Huai-hsin Chi

Proceedings of the IEEE Symposium on Information Visualization 2000 (INFOVIS'00), 2000

Enhancing a digital book with a reading recommender.

Allison Woodruff, Rich Gossweiler, James E. Pitkow, Ed Huai-hsin Chi, Stuart K. Card

Proceedings of the CHI 2000 Conference on Human factors in computing systems, 2000

The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site.

Ed Huai-hsin Chi, Peter Pirolli, James E. Pitkow

Proceedings of the CHI 2000 Conference on Human factors in computing systems, 2000

1999

Sensemaking of Evolving Web Sites Using Visualization Spreadsheets.

Ed Huai-hsin Chi, Stuart K. Card

Proceedings of the IEEE Symposium on Information Visualization 1999 (INFOVIS'99), 1999

Web Analysis Visualization Spreadsheet.

Ed Huai-hsin Chi

Proceedings of the 1999 ACM Digital Library Workshop on Organizing Web Space (WOWS), 1999

1998

Principles for Information Visualization Spreadsheets.

Ed Huai-hsin Chi, John Riedl, Phillip Barry, Joseph A. Konstan

IEEE Computer Graphics and Applications, 1998

An Operator Interaction Framework for Visualization Systems.

Ed Huai-hsin Chi, John Riedl

Proceedings of the 1998 IEEE Symposium on Information Visualization (InfoVis '98), 1998

Visualizing the Evolution of Web Ecologies.

Ed Huai-hsin Chi, James E. Pitkow, Jock D. Mackinlay, Peter Pirolli, Rich Gossweiler, Stuart K. Card

Proceedings of the Proceeding of the CHI '98 Conference on Human Factors in Computing Systems, 1998

1997

A spreadsheet approach to information visualization.

Ed Huai-hsin Chi, Phillip Barry, John Riedl, Joseph A. Konstan

Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97), 1997

1996

Flexible Information Visualization of Multivariate Data from Biological Sequence Similarity Searches.

Ed Huai-hsin Chi, John Riedl, Elizabeth Shoop, John V. Carlis, Ernest Retzel, Phillip Barry

Proceedings of the 7th IEEE Visualization Conference, 1996

1995

Visualization of Biological Sequence Similarity Search Results.

Ed Huai-hsin Chi, Phillip Barry, Elizabeth Shoop, John V. Carlis, Ernest Retzel, John Riedl

Proceedings of the 6th IEEE Visualization Conference, 1995

Implementation and testing of an automated EST processing and similarity analysis system.

Elizabeth Shoop, Ed Huai-hsin Chi, John V. Carlis, Paul Bieganski, John Riedl, Neal Dalton, Thomas Newman, Ernest Retzel

Proceedings of the 28th Annual Hawaii International Conference on System Sciences (HICSS-28), 1995