Ed H. Chi - RankMe

286 papers A* 60A 47B 5C 4Misc 1Journal 117Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution. CoRR Minghao Yan, Bo Peng, Benjamin Coleman, Ziqi Chen, Zhouhang Xie, Shuo Chen, Zhankui He, Noveen Sachdeva, Isabella Ye, Weili Wang, Chi Wang, Ed H. Chi, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang
2026	A*	`conf`	PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. WWW 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, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng
2026	A	`conf`	The Future of Personalized Universal Assistant. WSDM Ed H. Chi
2026	J	`jnl`	Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators. CoRR Zhengyang Su, Isay Katsman, Yueqi Wang, Ruining He, Lukasz Heldt, Raghunandan H. Keshavan, Shao-Chuan Wang, Xinyang Yi, Mingyan Gao, Onkar Dalal, Lichan Hong, Ed H. Chi, Ningren Han
2025	A*	`conf`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. ICML Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. CoRR Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	A	`conf`	Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. RecSys 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	J	`jnl`	Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. CoRR 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	—	`conf`	Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems. KDD (1) Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen
2025	A	`conf`	Cross-Batch Aggregation for Streaming Learning from Label Proportions in Industrial-Scale Recommendation Systems. RecSys 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
2025	A*	`conf`	EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration. ICML Allen Nie, Yi Su, Bo Chang, Jonathan Lee, Ed H. Chi, Quoc V. Le, Minmin Chen
2025	J	`jnl`	Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. CoRR Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
2025	J	`jnl`	PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. CoRR 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, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng
2025	J	`jnl`	ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation. CoRR Chengyu Dong, Huan Gui, Noveen Sachdeva, Long Jin, Ke Yin, Jingbo Shang, Lichan Hong, Ed H. Chi, Zhe Zhao
2025	—	`conf`	Reward Shaping for User Satisfaction. ECML/PKDD (6) 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
2025	J	`jnl`	Serendipitous Recommendation with Multimodal LLM. CoRR Haoting Wang, Jianling Wang, Hao Li, Fangjun Yi, Mengyu Fu, Youwei Zhang, Yifan Liu, Liang Liu, Minmin Chen, Ed H. Chi, Lichan Hong, Haokai Lu
2025	—	`conf`	User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. ACL (6) 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	J	`jnl`	User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. CoRR 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
2024	—	`conf`	Aligning Large Language Models with Recommendation Knowledge. NAACL-HLT (Findings) Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
2024	J	`jnl`	Aligning Large Language Models with Recommendation Knowledge. CoRR Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy
2024	A	`conf`	Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations. RecSys 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	—	`conf`	Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CHI Extended Abstracts Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi
2024	A	`conf`	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. RecSys 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	J	`jnl`	Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems. CoRR Nikhil Khani, Shuo Yang, Aniruddh Nath, Yang Liu, Pendo Abbo, Li Wei, Shawn Andrews, Maciej Kula, Jarrod Kahn, Zhe Zhao, Lichan Hong, Ed H. Chi
2024	—	`conf`	Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. WWW (Companion Volume) Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen
2024	A	`conf`	Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System. RecSys Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu
2024	J	`jnl`	Diversifying by Intent in Recommender Systems. CoRR Yuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen
2024	J	`jnl`	EVOLvE: Evaluating and Optimizing LLMs For Exploration. CoRR Allen Nie, Yi Su, Bo Chang, Jonathan N. Lee, Ed H. Chi, Quoc V. Le, Minmin Chen
2024	J	`jnl`	How to Train Data-Efficient LLMs. CoRR Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
2024	A	`conf`	Improving Data Efficiency for Recommenders and LLMs. RecSys Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2024	A*	`conf`	LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. ICML 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	J	`jnl`	LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR 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	A	`conf`	LLMs for User Interest Exploration in Large-scale Recommendation Systems. RecSys 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	J	`jnl`	LLMs for User Interest Exploration: A Hybrid Approach. CoRR 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	A*	`conf`	Large Language Models as Analogical Reasoners. ICLR Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
2024	—	`conf`	Large Language Models as Data Augmenters for Cold-Start Item Recommendation. WWW (Companion Volume) Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024	J	`jnl`	Large Language Models as Data Augmenters for Cold-Start Item Recommendation. CoRR Jianling Wang, Haokai Lu, James Caverlee, Ed H. Chi, Minmin Chen
2024	J	`jnl`	Leveraging LLM Reasoning Enhances Personalized Recommender Systems. CoRR Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi
2024	A	`conf`	Long-Term Value of Exploration: Measurements, Findings and Algorithms. WSDM 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
2024	J	`jnl`	Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska
2024	A*	`conf`	Multi-Task Neural Linear Bandit for Exploration in Recommender Systems. KDD Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen
2024	J	`jnl`	NATURAL PLAN: Benchmarking LLMs on Natural Language Planning. CoRR Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou
2024	A*	`conf`	SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures. NeurIPS Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
2024	J	`jnl`	STAR: A Simple Training-free Approach for Recommendations using Large Language Models. CoRR Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H. Chi, Xinyang Yi
2024	J	`jnl`	Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res. Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, 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
2024	A	`conf`	Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. RecSys 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	J	`jnl`	Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
2024	A	`conf`	Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models. RecSys 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	A*	`conf`	Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. ICLR Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou
2024	J	`jnl`	Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. CoRR Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2023	J	`jnl`	Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy
2023	J	`jnl`	Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CoRR Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi
2023	—	`conf`	Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. ACL (Findings) 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
2023	J	`jnl`	Density Weighting for Multi-Interest Personalized Recommendation. CoRR Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	A	`conf`	Efficient Data Representation Learning in Google-scale Systems. RecSys Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi
2023	A*	`conf`	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2023	A*	`conf`	Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
2023	A*	`conf`	Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. KDD 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	J	`jnl`	Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation. CoRR Jianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen
2023	J	`jnl`	Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems. CoRR Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen
2023	J	`jnl`	Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. CoRR Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi
2023	A*	`conf`	HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
2023	J	`jnl`	HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. CoRR Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
2023	J	`jnl`	Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
2023	—	`conf`	Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
2023	A*	`conf`	Improving Training Stability for Multitask Ranking Models in Recommender Systems. KDD Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
2023	J	`jnl`	Improving Training Stability for Multitask Ranking Models in Recommender Systems. CoRR Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
2023	—	`conf`	Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen
2023	A*	`conf`	Large Language Models Can Be Easily Distracted by Irrelevant Context. ICML Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou
2023	J	`jnl`	Large Language Models Can Be Easily Distracted by Irrelevant Context. CoRR Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou
2023	J	`jnl`	Large Language Models as Analogical Reasoners. CoRR Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou
2023	J	`jnl`	Large Language Models for User Interest Journeys. CoRR 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
2023	—	`conf`	Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen
2023	A*	`conf`	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. ICLR Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
2023	A	`conf`	Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. CIKM Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi
2023	A	`conf`	Online Matching: A Real-time Bandit System for Large-scale Recommendations. RecSys Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi
2023	J	`jnl`	Online Matching: A Real-time Bandit System for Large-scale Recommendations. CoRR Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi
2023	J	`jnl`	Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations. CoRR Pan Li, Yuyan Wang, Ed H. Chi, Minmin Chen
2023	A*	`conf`	Recommender Systems with Generative Retrieval. NeurIPS 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
2023	J	`jnl`	Recommender Systems with Generative Retrieval. CoRR Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy
2023	A*	`conf`	Self-Consistency Improves Chain of Thought Reasoning in Language Models. ICLR Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou
2023	J	`jnl`	Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. CoRR Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou
2023	J	`jnl`	Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication. CoRR Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi
2023	A*	`conf`	Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. NeurIPS Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	J	`jnl`	Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. CoRR Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2023	J	`jnl`	Value of Exploration: Measurements, Findings and Algorithms. CoRR 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	—	`conf`	What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel. SaTML Yao Qin, Xuezhi Wang, Balaji Lakshminarayanan, Ed H. Chi, Alex Beutel
2023	J	`jnl`	What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel. CoRR Yao Qin, Xuezhi Wang, Balaji Lakshminarayanan, Ed H. Chi, Alex Beutel
2022	J	`jnl`	Algorithms for Efficiently Learning Low-Rank Neural Networks. CoRR Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi
2022	A*	`conf`	Can Small Heads Help? Understanding and Improving Multi-Task Generalization. WWW Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi
2022	J	`jnl`	Chain of Thought Prompting Elicits Reasoning in Large Language Models. CoRR Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed H. Chi, Quoc Le, Denny Zhou
2022	A*	`conf`	Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
2022	J	`jnl`	Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. CoRR 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
2022	A*	`conf`	Distributionally-robust Recommendations for Improving Worst-case User Experience. WWW Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi
2022	J	`jnl`	Emergent Abilities of Large Language Models. CoRR 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
2022	J	`jnl`	Emergent Abilities of Large Language Models. Trans. Mach. Learn. Res. 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
2022	J	`jnl`	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
2022	A*	`conf`	HyperPrompt: Prompt-based Task-Conditioning of Transformers. ICML 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	J	`jnl`	HyperPrompt: Prompt-based Task-Conditioning of Transformers. CoRR 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	A*	`conf`	Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022	J	`jnl`	Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
2022	J	`jnl`	LaMDA: Language Models for Dialog Applications. CoRR 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
2022	J	`jnl`	Latent User Intent Modeling for Sequential Recommenders. CoRR Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen
2022	A*	`conf`	Learning to Augment for Casual User Recommendation. WWW Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen
2022	J	`jnl`	Learning to Augment for Casual User Recommendation. CoRR Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen
2022	J	`jnl`	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. CoRR Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed H. Chi
2022	A	`conf`	Multi-Resolution Attention for Personalized Item Search. WSDM Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh
2022	A	`conf`	Off-Policy Actor-critic for Recommender Systems. RecSys Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi
2022	J	`jnl`	Rationale-Augmented Ensembles in Language Models. CoRR Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou
2022	J	`jnl`	Recency Dropout for Recurrent Recommender Systems. CoRR Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen
2022	J	`jnl`	Reward Shaping for User Satisfaction in a REINFORCE Recommender. CoRR 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
2022	J	`jnl`	Scaling Instruction-Finetuned Language Models. CoRR 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
2022	J	`jnl`	Self-Consistency Improves Chain of Thought Reasoning in Language Models. CoRR Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V. Le, Ed H. Chi, Denny Zhou
2022	J	`jnl`	Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations. CoRR 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
2022	A*	`conf`	Surrogate for Long-Term User Experience in Recommender Systems. KDD Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen
2021	A*	`conf`	A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
2021	A*	`conf`	Batch Reinforcement Learning Through Continuation Method. ICLR Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen
2021	A	`conf`	Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. WSDM Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui
2021	—	`conf`	Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP (1) Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel
2021	A*	`conf`	DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. WWW Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi
2021	A*	`conf`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	J	`jnl`	DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
2021	A*	`conf`	Improving Calibration through the Relationship with Adversarial Robustness. NeurIPS Yao Qin, Xuezhi Wang, Alex Beutel, Ed H. Chi
2021	A*	`conf`	Learning to Embed Categorical Features without Embedding Tables for Recommendation. KDD Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
2021	A	`conf`	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
2021	C	`conf`	Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. AIES Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
2021	J	`jnl`	Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. CoRR Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang, Ed H. Chi, Jilin Chen, Alex Beutel
2021	J	`jnl`	Measuring Recommender System Effects with Simulated Users. CoRR Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
2021	A	`conf`	Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems. WSDM Xuezhi Wang, Nithum Thain, Anu Sinha, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel
2021	A	`conf`	Self-supervised Learning for Large-scale Item Recommendations. CIKM 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	A*	`conf`	Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. WWW Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
2021	J	`jnl`	Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. CoRR Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen
2021	A*	`conf`	Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. KDD Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi
2021	J	`jnl`	Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning. CoRR Yuyan Wang, Xuezhi Wang, Alex Beutel, Flavien Prost, Jilin Chen, Ed H. Chi
2021	A	`conf`	User Response Models to Improve a REINFORCE Recommender System. WSDM Minmin Chen, Bo Chang, Can Xu, Ed H. Chi
2021	A	`conf`	Values of User Exploration in Recommender Systems. RecSys Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi
2020	J	`jnl`	A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. CoRR Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
2020	A*	`conf`	BRPO: Batch Residual Policy Optimization. IJCAI Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier
2020	J	`jnl`	BRPO: Batch Residual Policy Optimization. CoRR Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed H. Chi, Craig Boutilier
2020	J	`jnl`	Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. CoRR Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui
2020	—	`conf`	CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. EMNLP (1) Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020	J	`jnl`	CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation. CoRR Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020	J	`jnl`	DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. CoRR Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. CoRR Ge Liu, Rui Wu, Heng-Tze Cheng, Jing Wang, Jayden Ooi, Lihong Li, Ang Li, Wai Lok Sibon Li, Craig Boutilier, Ed H. Chi
2020	A	`conf`	Deconfounding User Satisfaction Estimation from Response Rate Bias. RecSys Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott, Daniel Li, Chris Haulk, Ed H. Chi, Minmin Chen
2020	J	`jnl`	Deep Hash Embedding for Large-Vocab Categorical Feature Representations. CoRR Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang
2020	A*	`conf`	End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. WWW Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang
2020	A*	`conf`	Fairness without Demographics through Adversarially Reweighted Learning. NeurIPS Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
2020	J	`jnl`	Fairness without Demographics through Adversarially Reweighted Learning. CoRR Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed H. Chi
2020	A	`conf`	From Missing Data to Boltzmann Distributions and Time Dynamics: The Statistical Physics of Recommendation. WSDM Ed H. Chi
2020	J	`jnl`	Improving Uncertainty Estimates through the Relationship with Adversarial Robustness. CoRR Yao Qin, Xuezhi Wang, Alex Beutel, Ed H. Chi
2020	J	`jnl`	Learned Indexes for a Google-scale Disk-based Database. CoRR Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston
2020	—	`conf`	Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. WWW (Companion Volume) Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. CoRR Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
2020	—	`conf`	Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. WWW (Companion Volume) Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi
2020	A*	`conf`	Off-policy Learning in Two-stage Recommender Systems. WWW Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Self-supervised Learning for Deep Models in Recommendations. CoRR Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger
2020	J	`jnl`	Small Towers Make Big Differences. CoRR Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi
2020	J	`jnl`	Understanding and Improving Knowledge Distillation. CoRR Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain
2020	A	`conf`	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 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	J	`jnl`	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR 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
2019	—	`conf`	AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. ICLR (Poster) Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi
2019	J	`jnl`	AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks. CoRR Bo Chang, Minmin Chen, Eldad Haber, Ed H. Chi
2019	C	`conf`	Counterfactual Fairness in Text Classification through Robustness. AIES Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel
2019	J	`jnl`	Dynamical Isometry and a Mean Field Theory of LSTMs and GRUs. CoRR Dar Gilboa, Bo Chang, Minmin Chen, Greg Yang, Samuel S. Schoenholz, Ed H. Chi, Jeffrey Pennington
2019	—	`conf`	Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2019	A*	`conf`	Fairness in Recommendation Ranking through Pairwise Comparisons. KDD Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	J	`jnl`	Fairness in Recommendation Ranking through Pairwise Comparisons. CoRR Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
2019	J	`jnl`	Practical Compositional Fairness: Understanding Fairness in Multi-Task ML Systems. CoRR Xuezhi Wang, Nithum Thain, Anu Sinha, Ed H. Chi, Jilin Chen, Alex Beutel
2019	C	`conf`	Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. AIES Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
2019	J	`jnl`	Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. CoRR Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi
2019	A*	`conf`	Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. KDD Francois Belletti, Minmin Chen, Ed H. Chi
2019	J	`jnl`	Quantifying Long Range Dependence in Language and User Behavior to improve RNNs. CoRR Francois Belletti, Minmin Chen, Ed H. Chi
2019	A	`conf`	Recommending what video to watch next: a multitask ranking system. RecSys Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
2019	A*	`conf`	SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
2019	A	`conf`	SageDB: A Learned Database System. CIDR Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
2019	A	`conf`	Sampling-bias-corrected neural modeling for large corpus item recommendations. RecSys Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi
2019	A	`conf`	Top-K Off-Policy Correction for a REINFORCE Recommender System. WSDM Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
2019	J	`jnl`	Toward a better trade-off between performance and fairness with kernel-based distribution matching. CoRR Flavien Prost, Hai Qian, Qiuwen Chen, Ed H. Chi, Jilin Chen, Alex Beutel
2019	A*	`conf`	Towards Neural Mixture Recommender for Long Range Dependent User Sequences. WWW Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
2019	J	`jnl`	Towards Neural Mixture Recommender for Long Range Dependent User Sequences. CoRR Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi
2019	J	`jnl`	Transfer of Machine Learning Fairness across Domains. CoRR Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi
2018	A	`conf`	Categorical-attributes-based item classification for recommender systems. RecSys Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi
2018	J	`jnl`	Counterfactual Fairness in Text Classification through Robustness. CoRR Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel
2018	J	`jnl`	Efficient Training on Very Large Corpora via Gramian Estimation. CoRR Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2018	J	`jnl`	Evaluation and Refinement of Clustered Search Results with the Crowd. ACM Trans. Interact. Intell. Syst. Amy X. Zhang, Jilin Chen, Wei Chai, Jinjun Xu, Lichan Hong, Ed H. Chi
2018	A	`conf`	Latent Cross: Making Use of Context in Recurrent Recommender Systems. WSDM Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi
2018	A*	`conf`	Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi
2018	A	`conf`	Practical Diversified Recommendations on YouTube with Determinantal Point Processes. CIKM Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater
2018	A*	`conf`	Q&R: A Two-Stage Approach toward Interactive Recommendation. KDD Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi
2018	—	`conf`	The Case for Learned Index Structures. SIGMOD Conference Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
2018	J	`jnl`	Top-K Off-Policy Correction for a REINFORCE Recommender System. CoRR Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
2017	J	`jnl`	Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi
2017	J	`jnl`	Technical perspective: Humans and computers working together on hard tasks. Commun. ACM Ed H. Chi
2017	J	`jnl`	The Case for Learned Index Structures. CoRR Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
2016	A	`conf`	AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. IUI Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi
2016	—	`conf`	Video Watch Time and Comment Sentiment: Experiences from YouTube. HotWeb Rong Yang, Sarvjeet Singh, Pei Cao, Ed H. Chi, Bo Fu
2016	A*	`conf`	Window Shopping: A Study of Desktop Window Switching. CHI Andrew Warr, Ed H. Chi, Helen Harris, Alexander Kuscher, Jenn Chen, Robert Flack, Nicholas Jitkoff
2015	J	`jnl`	1st International Workshop on Multilingual Web Access (MWA 2015). SIGIR Forum Ben Steichen, Nicola Ferro, David Lewis, Ed H. Chi
2015	A	`conf`	And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. CSCW Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi
2015	A	`conf`	Blurring of the Boundary Between Interactive Search and Recommendation. IUI Ed H. Chi
2015	—	`conf`	Design for Searching & Finding. CHI Extended Abstracts Daniel M. Russell, Jaime Teevan, Meredith Ringel Morris, Marti A. Hearst, Ed H. Chi
2015	A*	`conf`	Google+ Communities as Plazas and Topic Boards. CHI Michael J. Brzozowski, Phil Adams, Ed H. Chi
2014	—	`ch.`	Crowdsourcing in HCI Research. Ways of Knowing in HCI Serge Egelman, Ed H. Chi, Steven Dow
2014	—	`conf`	Location and Language Use in Social Media. LTCSS@ACL Ed H. Chi
2014	—	`ch.`	Looking Back: Retrospective Study Methods for HCI. Ways of Knowing in HCI Daniel M. Russell, Ed H. Chi
2014	—	`conf`	RepliCHI: the workshop II. CHI Extended Abstracts Max L. Wilson, Ed H. Chi, Stuart Reeves, David Coyle
2013	A*	`conf`	All the news that's fit to read: a study of social annotations for news reading. CHI Chinmay Kulkarni, Ed H. Chi
2013	J	`jnl`	Already up? using mobile phones to track & share sleep behavior. Int. J. Hum. Comput. Stud. Alireza Sahami Shirazi, James Clawson, Yashar Hassanpour, Mohammad J. Tourian, Albrecht Schmidt, Ed H. Chi, Marko Borazio, Kristof Van Laerhoven
2013	—	`conf`	Inserting Micro-Breaks into Crowdsourcing Workflows. HCOMP (Works in Progress / Demos) Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai
2013	A	`conf`	Instant foodie: predicting expert ratings from grassroots. CIKM Chenhao Tan, Ed H. Chi, David A. Huffaker, Gueorgi Kossinets, Alexander J. Smola
2013	A*	`conf`	Perception and understanding of social annotations in web search. WWW Jennifer Fernquist, Ed H. Chi
2013	—	`ed.`	Proceedings of the CHI 2013 Workshop on the Replication of HCI Research, Paris, France, April 27-28, 2013 RepliCHI Max L. Wilson, Ed H. Chi, David Coyle, Paul Resnick
2013	—	`conf`	Re-testing the Perception of Social Annotations in Web Search. RepliCHI Jennifer Fernquist, Ed H. Chi
2013	—	`conf`	RepliCHI: the workshop. CHI Extended Abstracts Max L. Wilson, Paul Resnick, David Coyle, Ed H. Chi
2013	A*	`conf`	Swipe vs. scroll: web page switching on mobile browsers. CHI Andrew Warr, Ed H. Chi
2013	C	`conf`	The Science of Social Interactions on the Web. CW Ed H. Chi
2013	—	`conf`	The false dichotomy between accessibility and usability. W4A Ed H. Chi
2012	A	`conf`	2nd Workshop on context-awareness in retrieval and recommendation: (CaRR 2012). IUI Ernesto William De Luca, Matthias Böhmer, Alan Said, Ed H. Chi
2012	A*	`ed.`	CHI Conference on Human Factors in Computing Systems, CHI '12, Austin, TX, USA - May 05 - 10, 2012 CHI Joseph A. Konstan, Ed H. Chi, Kristina Höök
2012	—	`ed.`	CHI Conference on Human Factors in Computing Systems, CHI '12, Extended Abstracts Volume, Austin, TX, USA, May 5-10, 2012 CHI Extended Abstracts Joseph A. Konstan, Ed H. Chi, Kristina Höök
2012	J	`jnl`	Leveraging Online Populations for Crowdsourcing [Guest editors' introduction]. IEEE Internet Comput. Ed H. Chi, Michael S. Bernstein
2012	J	`jnl`	Online privacy; replicating research results. Commun. ACM Daniel Reed, Ed H. Chi
2012	—	`ed.`	Proceedings of the 2nd Workshop on Context-awareness in Retrieval and Recommendation, CaRR '12, Lisbon, Portugal, February 14, 2012 CaRR Ernesto William De Luca, Matthias Böhmer, Alan Said, Ed H. Chi
2012	A*	`conf`	Social annotations in web search. CHI Aditi S. Muralidharan, Zoltán Gyöngyi, Ed H. Chi
2012	J	`jnl`	Who is Authoritative? Understanding Reputation Mechanisms in Quora CoRR Sharoda A. Paul, Lichan Hong, Ed H. Chi
2012	J	`jnl`	Who knows?: searching for expertise on the social web: technical perspective. Commun. ACM Ed H. Chi
2011	—	`conf`	Apples to oranges?: comparing across studies of open collaboration/peer production. Int. Sym. Wikis Judd Antin, Ed H. Chi, James Howison, Sharoda A. Paul, Aaron D. Shaw, Jude Yew
2011	—	`conf`	Crowdsourcing and human computation: systems, studies and platforms. CHI Extended Abstracts Michael S. Bernstein, Ed H. Chi, Lydia B. Chilton, Björn Hartmann, Aniket Kittur, Robert C. Miller
2011	A	`conf`	Is Twitter a Good Place for Asking Questions? A Characterization Study. ICWSM Sharoda A. Paul, Lichan Hong, Ed H. Chi
2011	A	`conf`	Language Matters In Twitter: A Large Scale Study. ICWSM Lichan Hong, Gregorio Convertino, Ed H. Chi
2011	—	`conf`	Mail2Tag: Augmenting email for sharing with implicit tag-based categorization. CTS Les Nelson, Rowan Nairn, Ed H. Chi, Gregorio Convertino
2011	—	`conf`	Mail2Wiki: low-cost sharing and early curation from email to wikis. C&T Benjamin V. Hanrahan, Guillaume Bouchard, Gregorio Convertino, Thiébaud Weksteen, Nicholas Kong, Cédric Archambeau, Ed H. Chi
2011	A	`conf`	Mail2Wiki: posting and curating Wiki content from email. IUI Benjamin V. Hanrahan, Thiébaud Weksteen, Nicholas Kong, Gregorio Convertino, Guillaume Bouchard, Cédric Archambeau, Ed H. Chi
2011	—	`conf`	RepliCHI - CHI should be replicating and validating results more: discuss. CHI Extended Abstracts Max L. Wilson, Wendy E. Mackay, Ed H. Chi, Michael S. Bernstein, Daniel M. Russell, Harold W. Thimbleby
2011	J	`jnl`	Reviewing peer review. Commun. ACM Jeannette M. Wing, Ed H. Chi
2011	B	`conf`	Studying the Adoption of Mail2Tag: an Enterprise2.0 Tool for Sharing. ECSCW Les Nelson, Gregorio Convertino, Ed H. Chi, Rowan Nairn
2011	—	`conf`	The trouble with social computing systems research. CHI Extended Abstracts Michael S. Bernstein, Mark S. Ackerman, Ed H. Chi, Robert C. Miller
2011	—	`conf`	Transferability of research findings: context-dependent or model-driven. CHI Extended Abstracts Ed H. Chi, Mary Czerwinski, David R. Millen, Dave W. Randall, Gunnar Stevens, Volker Wulf, John Zimmerman
2011	A*	`conf`	Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles. CHI Brent J. Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi
2011	—	`conf`	VisualWikiCurator: a corporate Wiki plugin. CHI Extended Abstracts Nicholas Kong, Gregorio Convertino, Benjamin V. Hanrahan, Ed H. Chi
2011	A	`conf`	VisualWikiCurator: human and machine intelligencefor organizing wiki content. IUI Nicholas Kong, Benjamin V. Hanrahan, Thiébaud Weksteen, Gregorio Convertino, Ed H. Chi
2010	A	`conf`	A Comparison of Generated Wikipedia Profiles Using Social Labeling and Automatic Keyword Extraction. ICWSM Terrell Russell, Bongwon Suh, Ed H. Chi
2010	J	`jnl`	Advancing the Design of Technology-Mediated Social Participation Systems. Computer Ed H. Chi, Sean Munson, Gerhard Fischer, Sarah Vieweg, Cynthia Parr
2010	J	`jnl`	An elaborated model of social search. Inf. Process. Manag. Brynn M. Evans, Ed H. Chi
2010	B	`conf`	Clorg: collective intelligence in organizations. GROUP Gregorio Convertino, Antonietta Grasso, Giorgio De Michelis, David R. Millen, Ed H. Chi
2010	B	`conf`	Designing a cross-channel information management tool for workers in enterprise task forces. AVI Gregorio Convertino, Sanjay Kairam, Lichan Hong, Bongwon Suh, Ed H. Chi
2010	A*	`conf`	Eddi: interactive topic-based browsing of social status streams. UIST Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi
2010	J	`jnl`	Expanding CS education; improving software development. Commun. ACM Ed H. Chi, Ruben Ortega
2010	A*	`conf`	FeedWinnower: layering structures over collections of information streams. CHI Lichan Hong, Gregorio Convertino, Bongwon Suh, Ed H. Chi, Sanjay Kairam
2010	Misc	`conf`	Keynote: Model-Driven Research in Human-Computer Interaction. MuC Ed H. Chi
2010	B	`conf`	Model-Driven Research in Human-Centric Computing. VL/HCC Ed H. Chi
2010	A*	`conf`	Short and tweet: experiments on recommending content from information streams. CHI Jilin Chen, Rowan Nairn, Les Nelson, Michael S. Bernstein, Ed H. Chi
2010	J	`jnl`	The chaos of the internet as an external brain; and more. Commun. ACM Greg Linden, Ed H. Chi, Mark Guzdial
2010	—	`conf`	Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network. SocialCom/PASSAT Bongwon Suh, Lichan Hong, Peter Pirolli, Ed H. Chi
2009	—	`conf`	A Position Paper on 'Living Laboratories': Rethinking Ecological Designs and Experimentation in Human-Computer Interaction. HCI (1) Ed H. Chi
2009	—	`conf`	Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace. HCI (16) Gregorio Convertino, Lichan Hong, Les Nelson, Peter Pirolli, Ed H. Chi
2009	A*	`conf`	Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting. CHI Lichan Hong, Ed H. Chi
2009	—	`conf`	Augmented social cognition: using social web technology to enhance the ability of groups to remember, think, and reason. SIGMOD Conference Ed H. Chi
2009	A	`conf`	Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities. UMAP Nicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Michael Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole
2009	—	`conf`	Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment. HCI (16) Les Nelson, Gregorio Convertino, Peter Pirolli, Lichan Hong, Ed H. Chi
2009	J	`jnl`	Information Seeking Can Be Social. Computer Ed H. Chi
2009	—	`conf`	The singularity is not near: slowing growth of Wikipedia. Int. Sym. Wikis Bongwon Suh, Gregorio Convertino, Ed H. Chi, Peter Pirolli
2009	A*	`conf`	What's in Wikipedia?: mapping topics and conflict using socially annotated category structure. CHI Aniket Kittur, Ed H. Chi, Bongwon Suh
2009	A*	`conf`	With a little help from my friends: examining the impact of social annotations in sensemaking tasks. CHI Les Nelson, Christoph Held, Peter Pirolli, Lichan Hong, Diane J. Schiano, Ed H. Chi
2008	—	`conf`	Augmented Social Cognition. AAAI Spring Symposium: Social Information Processing Ed H. Chi, Peter Pirolli, Bongwon Suh, Aniket Kittur, Bryan A. Pendleton, Todd Mytkowicz
2008	A	`conf`	Can you ever trust a wiki?: impacting perceived trustworthiness in wikipedia. CSCW Aniket Kittur, Bongwon Suh, Ed H. Chi
2008	A*	`conf`	Crowdsourcing user studies with Mechanical Turk. CHI Aniket Kittur, Ed H. Chi, Bongwon Suh
2008	A*	`conf`	Lifting the veil: improving accountability and social transparency in Wikipedia with wikidashboard. CHI Bongwon Suh, Ed H. Chi, Aniket Kittur, Bryan A. Pendleton
2008	J	`jnl`	The Social Web: Research and Opportunities. Computer Ed H. Chi
2008	A	`conf`	The social (open) workspace. CIKM David A. Evans, Susan Feldman, Ed H. Chi, Natasa Milic-Frayling, Igor Perisic
2008	—	`conf`	Towards a model of understanding social search. SSM Brynn M. Evans, Ed H. Chi
2008	A	`conf`	Towards a model of understanding social search. CSCW Brynn M. Evans, Ed H. Chi
2008	A	`conf`	Understanding the Efficiency of Social Tagging Systems using Information Theory. ICWSM Ed H. Chi, Todd Mytkowicz
2008	—	`conf`	Understanding the efficiency of social tagging systems using information theory. Hypertext Ed H. Chi, Todd Mytkowicz
2007	A*	`conf`	He says, she says: conflict and coordination in Wikipedia. CHI Aniket Kittur, Bongwon Suh, Bryan A. Pendleton, Ed H. Chi
2007	—	`conf`	Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations. IEEE VAST Bongwon Suh, Ed H. Chi, Bryan A. Pendleton, Aniket Kittur
2006	—	`conf`	Scentindex: Conceptually Reorganizing Subject Indexes for Reading. IEEE VAST Ed H. Chi, Lichan Hong, Julie Heiser, Stuart K. Card
2005	J	`jnl`	Guest Editors' Introduction: Pervasive Computing in Sports Technologies. IEEE Pervasive Comput. Ed H. Chi, Gaetano Borriello, G. Hunt, Nigel Davies
2005	J	`jnl`	Introducing wearable force sensors in martial arts. IEEE Pervasive Comput. Ed H. Chi
2002	B	`conf`	Expressiveness of the data flow and data state models in visualization systems. AVI Ed H. Chi
2000	—	`conf`	Case Study: Resource Steering in a Visualization System. VisSym Ed H. Chi, John Riedl
2000	J	`jnl`	Novel visualization method for biological sequence similarity reports. J. Electronic Imaging Ed H. Chi, John Riedl, Elizabeth Shoop, Phillip Barry