Lichan Hong - RankMe

123 papers A* 27A 26B 4C 1Journal 46Unranked 18

Year	Rank	Type	Title / Venue / Authors
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	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`	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	A	`conf`	Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding. RecSys Gwendolyn Zhao, Yilin Zheng, Raghu Keshavan, Lukasz Heldt, Qian Sun, Fabio Soldo, Li Wei, Aniruddh Nath, Nikhil Khani, Weilong Yang, Dapo Omidiran, Rein Zhang, Mei Chen, Lichan Hong, Xinyang Yi
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	J	`jnl`	Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation. CoRR Nachiket Subbaraman, Jaskinder Sarai, Aniruddh Nath, Lichan Hong, Lukasz Heldt, Li Wei, Zhe Zhao
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	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	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`	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	—	`conf`	Leveraging LLM Reasoning Enhances Personalized Recommender Systems. ACL (Findings) Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed Huai-hsin Chi, Xinyang Yi
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	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	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	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`	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	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	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	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	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	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
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	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`	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`	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
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`	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	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`	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	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
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	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	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`	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	—	`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
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	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`	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
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`	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
2017	A*	`conf`	TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
2017	J	`jnl`	TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. CoRR Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D. Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie
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`	Wide & Deep Learning for Recommender Systems. DLRS@RecSys Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah
2016	J	`jnl`	Wide & Deep Learning for Recommender Systems. CoRR Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah
2015	A*	`conf`	Improving User Topic Interest Profiles by Behavior Factorization. WWW Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Huai-hsin Chi
2014	—	`ed.`	Transactions on Computational Science XXIII - Special Issue on Cyberworlds Trans. Comput. Sci. Marina L. Gavrilova, C. J. Kenneth Tan, Xiaoyang Mao, Lichan Hong
2013	C	`ed.`	2013 International Conference on Cyberworlds, Yokohama, Japan, October 21-23, 2013 CW Xiaoyang Mao, Lichan Hong
2012	J	`jnl`	Who is Authoritative? Understanding Reputation Mechanisms in Quora CoRR Sharoda A. Paul, Lichan Hong, Ed H. Chi
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	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
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	A*	`conf`	FeedWinnower: layering structures over collections of information streams. CHI Lichan Hong, Gregorio Convertino, Bongwon Suh, Ed H. Chi, Sanjay Kairam
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`	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`	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	A*	`conf`	Remembrance of things tagged: how tagging effort affects tag production and human memory. CHI Raluca Budiu, Peter Pirolli, Lichan Hong
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	B	`conf`	SparTag.us: a low cost tagging system for foraging of web content. AVI Lichan Hong, Ed Huai-hsin Chi, Raluca Budiu, Peter Pirolli, Les Nelson
2007	J	`jnl`	ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages. Inf. Vis. Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card, Michelle Gumbrecht
2007	—	`conf`	Visual Foraging of Highlighted Text: An Eye-Tracking Study. HCI (3) Ed Huai-hsin Chi, Michelle Gumbrecht, Lichan Hong
2006	—	`conf`	Scentindex: Conceptually Reorganizing Subject Indexes for Reading. IEEE VAST Ed H. Chi, Lichan Hong, Julie Heiser, Stuart K. Card
2006	—	`conf`	Turning Pages of 3D Electronic Books. 3DUI Lichan Hong, Stuart K. Card, Jindong Chen
2005	—	`conf`	Annotating 3D electronic books. CHI Extended Abstracts Lichan Hong, Ed Huai-hsin Chi, Stuart K. Card
2005	A	`conf`	ScentHighlights: highlighting conceptually-related sentences during reading. IUI Ed Huai-hsin Chi, Lichan Hong, Michelle Gumbrecht, Stuart K. Card
2004	B	`conf`	3Book: a 3D electronic smart book. AVI Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi
2004	—	`conf`	3Book: a scalable 3D virtual book. CHI Extended Abstracts Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi
2004	—	`conf`	eBooks with indexes that reorganize conceptually. CHI Extended Abstracts Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card
2002	J	`jnl`	Automatic Centerline Extraction for Virtual Colonoscopy. IEEE Trans. Medical Imaging Ming Wan, Zhengrong Liang, Qi Ke, Lichan Hong, Ingmar Bitter, Arie E. Kaufman
2001	J	`jnl`	Reliable Path for Virtual Endoscopy: Ensuring Complete Examination of Human Organs. IEEE Trans. Vis. Comput. Graph. Taosong He, Lichan Hong, Dongqing Chen, Zhengrong Liang
1999	J	`jnl`	Fast Projection-Based Ray-Casting Algorithm for Rendering Curvilinear Volumes. IEEE Trans. Vis. Comput. Graph. Lichan Hong, Arie E. Kaufman
1998	A	`conf`	Accelerated ray-casting for curvilinear volumes. IEEE Visualization Lichan Hong, Arie E. Kaufman
1998	B	`conf`	Multi-Granularity Noise for Curvilinear Grid LIC. Graphics Interface Xiaoyang Mao, Lichan Hong, Arie E. Kaufman, Noboru Fujita, Makoto Kikukawa, Atsumi Imamiya
1997	A	`conf`	Interactive volume rendering for virtual colonoscopy. IEEE Visualization Suya You, Lichan Hong, Ming Wan, Kittiboon Junyaprasert, Arie E. Kaufman, Shigeru Muraki, Yong Zhou, Mark Wax, Zhengrong Liang
1997	—	`conf`	Notes on Computational-space-based Ray-casting for Curvilinear Volumes. Scientific Visualization Lichan Hong, Arie E. Kaufman
1997	A*	`conf`	Virtual voyage: interactive navigation in the human colon. SIGGRAPH Lichan Hong, Shigeru Muraki, Arie E. Kaufman, Dirk Bartz, Taosong He
1996	J	`jnl`	Controlled Topology Simplification. IEEE Trans. Vis. Comput. Graph. Taosong He, Lichan Hong, Amitabh Varshney, Sidney W. Wang
1996	A	`conf`	Generation of Transfer Functions with Stochastic Search Techniques. IEEE Visualization Taosong He, Lichan Hong, Arie E. Kaufman, Hanspeter Pfister
1995	A	`conf`	Interactive Visualization of Mixed Scalar and Vector Fields. IEEE Visualization Lichan Hong, Xiaoyang Mao, Arie E. Kaufman
1995	A	`conf`	Splatting of Curvilinear Volumes. IEEE Visualization Xiaoyang Mao, Lichan Hong, Arie E. Kaufman
1995	A	`conf`	Voxel Based Object Simplification. IEEE Visualization Taosong He, Lichan Hong, Arie E. Kaufman, Amitabh Varshney, Sidney W. Wang
1994	—	`conf`	Flow Surface Probes for Vector Field Visualization. Scientific Visualization Cláudio T. Silva, Lichan Hong, Arie E. Kaufman
1994	A	`conf`	VolVis: A Diversified Volume Visualization System. IEEE Visualization Ricardo S. Avila, Taosong He, Lichan Hong, Arie E. Kaufman, Hanspeter Pfister, Cláudio T. Silva, Lisa M. Sobierajski, Sidney W. Wang