Lichan Hong

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 59

Top Topics

Feature Representations

Recommender Systems

Item Recommendation

Pairwise Comparisons

Top Venues

Publications

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
How to Train Data-Efficient LLMs. CoRR (2024)
Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views. CoRR (2024)
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). KDD (2023)
Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction. CoRR (2023)
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. CoRR (2023)
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Improving Training Stability for Multitask Ranking Models in Recommender Systems. KDD (2023)
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi
Improving Training Stability for Multitask Ranking Models in Recommender Systems. CoRR (2023)
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
Recommender Systems with Generative Retrieval. CoRR (2023)
Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi
Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation. CIKM (2023)
Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR (2023)
Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR (2023)
Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong, Ed H. Chi
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems. CoRR (2023)
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
Recommender Systems with Generative Retrieval. NeurIPS (2023)
Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi
Online Matching: A Real-time Bandit System for Large-scale Recommendations. RecSys (2023)
Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi
Online Matching: A Real-time Bandit System for Large-scale Recommendations. CoRR (2023)
Kaize Ding, Albert Jiongqian Liang, Bryan Perrozi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. CoRR (2023)
Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi
Efficient Data Representation Learning in Google-scale Systems. RecSys (2023)
Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication. CoRR (2023)
Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems. NeurIPS (2023)
Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi
Density Weighting for Multi-Interest Personalized Recommendation. CoRR (2023)
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS (2022)
Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi
Distributionally-robust Recommendations for Improving Worst-case User Experience. WWW (2022)
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi
Can Small Heads Help? Understanding and Improving Multi-Task Generalization. WWW (2022)
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN). CoRR (2022)
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi
Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR (2022)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
Learning to Embed Categorical Features without Embedding Tables for Recommendation. KDD (2021)
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. CoRR (2021)
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
Self-supervised Learning for Large-scale Item Recommendations. CIKM (2021)
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed Chi, Qiaozhu Mei
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS (2021)
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. WSDM (2021)
Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed Chi
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. WWW (2021)
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed H. Chi
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning. NeurIPS (2021)
Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. WWW (2021)
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR (2020)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi
Deep Hash Embedding for Large-Vocab Categorical Feature Representations. CoRR (2020)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. WWW (Companion Volume) (2020)
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Ed H. Chi
Small Towers Make Big Differences. CoRR (2020)
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger
Self-supervised Learning for Deep Models in Recommendations. CoRR (2020)
Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi
DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems. CoRR (2020)
Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems. CoRR (2020)
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi
Off-policy Learning in Two-stage Recommender Systems. WWW (2020)
Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations. WWW (Companion Volume) (2020)
Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. CoRR (2020)
Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. CoRR (2020)
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
Fairness in Recommendation Ranking through Pairwise Comparisons. KDD (2019)
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
Fairness in Recommendation Ranking through Pairwise Comparisons. CoRR (2019)
Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi
Recommending what video to watch next: a multitask ranking system. RecSys (2019)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) (2019)
Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi
Sampling-bias-corrected neural modeling for large corpus item recommendations. RecSys (2019)
Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI (2019)
Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
Efficient Training on Very Large Corpora via Gramian Estimation. CoRR (2018)
Amy X. Zhang, Jilin Chen, Wei Chai, Jinjun Xu, Lichan Hong, Ed H. Chi
Evaluation and Refinement of Clustered Search Results with the Crowd. ACM Trans. Interact. Intell. Syst. 8 (2) (2018)
Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD (2018)
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
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. CoRR (2017)
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
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD (2017)
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
Wide & Deep Learning for Recommender Systems. DLRS@RecSys (2016)
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
Wide & Deep Learning for Recommender Systems. CoRR (2016)
Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi
AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. IUI (2016)
Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Huai-hsin Chi
Improving User Topic Interest Profiles by Behavior Factorization. WWW (2015)
Sharoda A. Paul, Lichan Hong, Ed H. Chi
Who is Authoritative? Understanding Reputation Mechanisms in Quora CoRR (2012)
Sharoda A. Paul, Lichan Hong, Ed H. Chi
Is Twitter a Good Place for Asking Questions? A Characterization Study. ICWSM (2011)
Brent J. Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles. CHI (2011)
Lichan Hong, Gregorio Convertino, Ed H. Chi
Language Matters In Twitter: A Large Scale Study. ICWSM (2011)
Gregorio Convertino, Sanjay Kairam, Lichan Hong, Bongwon Suh, Ed H. Chi
Designing a cross-channel information management tool for workers in enterprise task forces. AVI (2010)
Bongwon Suh, Lichan Hong, Peter Pirolli, Ed H. Chi
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network. SocialCom/PASSAT (2010)
Lichan Hong, Gregorio Convertino, Bongwon Suh, Ed H. Chi, Sanjay Kairam
FeedWinnower: layering structures over collections of information streams. CHI (2010)
Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi
Eddi: interactive topic-based browsing of social status streams. UIST (2010)
Raluca Budiu, Peter Pirolli, Lichan Hong
Remembrance of things tagged: how tagging effort affects tag production and human memory. CHI (2009)
Les Nelson, Christoph Held, Peter Pirolli, Lichan Hong, Diane J. Schiano, Ed H. Chi
With a little help from my friends: examining the impact of social annotations in sensemaking tasks. CHI (2009)
Lichan Hong, Ed H. Chi
Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting. CHI (2009)
Gregorio Convertino, Lichan Hong, Les Nelson, Peter Pirolli, Ed H. Chi
Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace. HCI (16) (2009)
Les Nelson, Gregorio Convertino, Peter Pirolli, Lichan Hong, Ed H. Chi
Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment. HCI (16) (2009)
Lichan Hong, Ed Huai-hsin Chi, Raluca Budiu, Peter Pirolli, Les Nelson
SparTag.us: a low cost tagging system for foraging of web content. AVI (2008)
Ed Huai-hsin Chi, Michelle Gumbrecht, Lichan Hong
Visual Foraging of Highlighted Text: An Eye-Tracking Study. HCI (3) (2007)
Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card, Michelle Gumbrecht
ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages. Inf. Vis. 6 (1) (2007)
Lichan Hong, Stuart K. Card, Jindong Chen
Turning Pages of 3D Electronic Books. 3DUI (2006)
Ed H. Chi, Lichan Hong, Julie Heiser, Stuart K. Card
Scentindex: Conceptually Reorganizing Subject Indexes for Reading. IEEE VAST (2006)
Lichan Hong, Ed Huai-hsin Chi, Stuart K. Card
Annotating 3D electronic books. CHI Extended Abstracts (2005)
Ed Huai-hsin Chi, Lichan Hong, Michelle Gumbrecht, Stuart K. Card
ScentHighlights: highlighting conceptually-related sentences during reading. IUI (2005)
Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi
3Book: a 3D electronic smart book. AVI (2004)
Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card
eBooks with indexes that reorganize conceptually. CHI Extended Abstracts (2004)
Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi
3Book: a scalable 3D virtual book. CHI Extended Abstracts (2004)
Ming Wan, Zhengrong Liang, Qi Ke, Lichan Hong, Ingmar Bitter, Arie E. Kaufman
Automatic Centerline Extraction for Virtual Colonoscopy. IEEE Trans. Medical Imaging 21 (11) (2002)
Taosong He, Lichan Hong, Dongqing Chen, Zhengrong Liang
Reliable Path for Virtual Endoscopy: Ensuring Complete Examination of Human Organs. IEEE Trans. Vis. Comput. Graph. 7 (4) (2001)
Lichan Hong, Arie E. Kaufman
Fast Projection-Based Ray-Casting Algorithm for Rendering Curvilinear Volumes. IEEE Trans. Vis. Comput. Graph. 5 (4) (1999)
Lichan Hong, Arie E. Kaufman
Accelerated ray-casting for curvilinear volumes. IEEE Visualization (1998)
Xiaoyang Mao, Lichan Hong, Arie E. Kaufman, Noboru Fujita, Makoto Kikukawa, Atsumi Imamiya
Multi-Granularity Noise for Curvilinear Grid LIC. Graphics Interface (1998)
Lichan Hong, Arie E. Kaufman
Notes on Computational-space-based Ray-casting for Curvilinear Volumes. Scientific Visualization (1997)
Suya You, Lichan Hong, Ming Wan, Kittiboon Junyaprasert, Arie E. Kaufman, Shigeru Muraki, Yong Zhou, Mark Wax, Zhengrong Liang
Interactive volume rendering for virtual colonoscopy. IEEE Visualization (1997)
Lichan Hong, Shigeru Muraki, Arie E. Kaufman, Dirk Bartz, Taosong He
Virtual voyage: interactive navigation in the human colon. SIGGRAPH (1997)
Taosong He, Lichan Hong, Amitabh Varshney, Sidney W. Wang
Controlled Topology Simplification. IEEE Trans. Vis. Comput. Graph. 2 (2) (1996)
Taosong He, Lichan Hong, Arie E. Kaufman, Hanspeter Pfister
Generation of Transfer Functions with Stochastic Search Techniques. IEEE Visualization (1996)
Lichan Hong, Xiaoyang Mao, Arie E. Kaufman
Interactive Visualization of Mixed Scalar and Vector Fields. IEEE Visualization (1995)
Taosong He, Lichan Hong, Arie E. Kaufman, Amitabh Varshney, Sidney W. Wang
Voxel Based Object Simplification. IEEE Visualization (1995)
Xiaoyang Mao, Lichan Hong, Arie E. Kaufman
Splatting of Curvilinear Volumes. IEEE Visualization (1995)
Cláudio T. Silva, Lichan Hong, Arie E. Kaufman
Flow Surface Probes for Vector Field Visualization. Scientific Visualization (1994)
Ricardo S. Avila, Taosong He, Lichan Hong, Arie E. Kaufman, Hanspeter Pfister, Cláudio T. Silva, Lisa M. Sobierajski, Sidney W. Wang
VolVis: A Diversified Volume Visualization System. IEEE Visualization (1994)