Lichan Hong

Orcid: 0009-0004-9563-554X

According to our database1, Lichan Hong authored at least 82 papers between 1994 and 2024.

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Bibliography

2024
Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.
CoRR, 2024

How to Train Data-Efficient LLMs.
CoRR, 2024

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.
CoRR, 2024

2023
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.
CoRR, 2023

Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication.
CoRR, 2023

Density Weighting for Multi-Interest Personalized Recommendation.
CoRR, 2023

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.
CoRR, 2023

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.
CoRR, 2023

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Online Matching: A Real-time Bandit System for Large-scale Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Efficient Data Representation Learning in Google-scale Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Recommender Systems with Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Training Stability for Multitask Ranking Models in Recommender Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Distributionally-robust Recommendations for Improving Worst-case User Experience.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Can Small Heads Help? Understanding and Improving Multi-Task Generalization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Multi-Task Generalization via Regularizing Spurious Correlation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems.
Proceedings of the WSDM '21, 2021

DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Embed Categorical Features without Embedding Tables for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Self-supervised Learning for Large-scale Item Recommendations.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Deep Hash Embedding for Large-Vocab Categorical Feature Representations.
CoRR, 2020

DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.
CoRR, 2020

Small Towers Make Big Differences.
CoRR, 2020

Self-supervised Learning for Deep Models in Recommendations.
CoRR, 2020

Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Off-policy Learning in Two-stage Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019
Recommending what video to watch next: a multitask ranking system.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Sampling-bias-corrected neural modeling for large corpus item recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Fairness in Recommendation Ranking through Pairwise Comparisons.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient Training on Very Large Corpora via Gramian Estimation.
Proceedings of the 7th International Conference on Learning Representations, 2019

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Evaluation and Refinement of Clustered Search Results with the Crowd.
ACM Trans. Interact. Intell. Syst., 2018

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
Wide & Deep Learning for Recommender Systems.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results.
Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016

2015
Improving User Topic Interest Profiles by Behavior Factorization.
Proceedings of the 24th International Conference on World Wide Web, 2015

2012
Who is Authoritative? Understanding Reputation Mechanisms in Quora
CoRR, 2012

2011
Is Twitter a Good Place for Asking Questions? A Characterization Study.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Language Matters In Twitter: A Large Scale Study.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010
Eddi: interactive topic-based browsing of social status streams.
Proceedings of the 23rd Annual ACM Symposium on User Interface Software and Technology, 2010

Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

FeedWinnower: layering structures over collections of information streams.
Proceedings of the 28th International Conference on Human Factors in Computing Systems, 2010

Designing a cross-channel information management tool for workers in enterprise task forces.
Proceedings of the International Conference on Advanced Visual Interfaces, 2010

2009
Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace.
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

With a little help from my friends: examining the impact of social annotations in sensemaking tasks.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Remembrance of things tagged: how tagging effort affects tag production and human memory.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2008
SparTag.us: a low cost tagging system for foraging of web content.
Proceedings of the working conference on Advanced Visual Interfaces, 2008

2007
ScentIndex and ScentHighlights: productive reading techniques for conceptually reorganizing subject indexes and highlighting passages.
Inf. Vis., 2007

Visual Foraging of Highlighted Text: An Eye-Tracking Study.
Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007

2006
Scentindex: Conceptually Reorganizing Subject Indexes for Reading.
Proceedings of the 1st IEEE Symposium On Visual Analytics Science And Technology, 2006

Turning Pages of 3D Electronic Books.
Proceedings of the IEEE Symposium on 3D User Interfaces, 2006

2005
ScentHighlights: highlighting conceptually-related sentences during reading.
Proceedings of the 10th International Conference on Intelligent User Interfaces, 2005

Annotating 3D electronic books.
Proceedings of the Extended Abstracts Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

2004
eBooks with indexes that reorganize conceptually.
Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

3Book: a scalable 3D virtual book.
Proceedings of the Extended abstracts of the 2004 Conference on Human Factors in Computing Systems, 2004

3Book: a 3D electronic smart book.
Proceedings of the working conference on Advanced visual interfaces, 2004

2002
Automatic Centerline Extraction for Virtual Colonoscopy.
IEEE Trans. Medical Imaging, 2002

2001
Reliable Path for Virtual Endoscopy: Ensuring Complete Examination of Human Organs.
IEEE Trans. Vis. Comput. Graph., 2001

1999
Fast Projection-Based Ray-Casting Algorithm for Rendering Curvilinear Volumes.
IEEE Trans. Vis. Comput. Graph., 1999

1998
Accelerated ray-casting for curvilinear volumes.
Proceedings of the 9th IEEE Visualization Conference, 1998

Multi-Granularity Noise for Curvilinear Grid LIC.
Proceedings of the Graphics Interface 1998 Conference, 1998

1997
Interactive volume rendering for virtual colonoscopy.
Proceedings of the 8th IEEE Visualization Conference, 1997

Virtual voyage: interactive navigation in the human colon.
Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, 1997

Notes on Computational-space-based Ray-casting for Curvilinear Volumes.
Proceedings of the Dagstuhl '97, 1997

1996
Controlled Topology Simplification.
IEEE Trans. Vis. Comput. Graph., 1996

Generation of Transfer Functions with Stochastic Search Techniques.
Proceedings of the 7th IEEE Visualization Conference, 1996

1995
Splatting of Curvilinear Volumes.
Proceedings of the 6th IEEE Visualization Conference, 1995

Interactive Visualization of Mixed Scalar and Vector Fields.
Proceedings of the 6th IEEE Visualization Conference, 1995

Voxel Based Object Simplification.
Proceedings of the 6th IEEE Visualization Conference, 1995

1994
VolVis: A Diversified Volume Visualization System.
Proceedings of the 5th IEEE Visualization Conference, 1994

Flow Surface Probes for Vector Field Visualization.
Proceedings of the Scientific Visualization, 1994


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