Lichan Hong

According to our database, Lichan Hong authored at least 90 papers between 1994 and 2024.

Collaborative distances:

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

2024

STAR: A Simple Training-free Approach for Recommendations using Large Language Models.

Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H. Chi, Xinyang Yi

CoRR, 2024

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

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

CoRR, 2024

How to Train Data-Efficient LLMs.

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

CoRR, 2024

Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System.

Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations.

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Improving Data Efficiency for Recommenders and LLMs.

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems.

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Aligning Large Language Models with Recommendation Knowledge.

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leveraging LLM Reasoning Enhances Personalized Recommender Systems.

Alicia Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed Huai-hsin Chi, Xinyang Yi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

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

CoRR, 2023

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

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

CoRR, 2023

Density Weighting for Multi-Interest Personalized Recommendation.

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

CoRR, 2023

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

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

CoRR, 2023

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

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

CoRR, 2023

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer.

Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng

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

Online Matching: A Real-time Bandit System for Large-scale Recommendations.

Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi

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

Efficient Data Representation Learning in Google-scale Systems.

Derek Zhiyuan Cheng, Ruoxi Wang, Wang-Cheng Kang, Benjamin Coleman, Yin Zhang, Jianmo Ni, Jonathan Valverde, Lichan Hong, Ed H. Chi

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

Recommender Systems with Generative Retrieval.

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

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

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

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

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

Improving Training Stability for Multitask Ranking Models in Recommender Systems.

Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi

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

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).

Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi

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

Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation.

Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi

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

2022

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

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

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

Can Small Heads Help? Understanding and Improving Multi-Task Generalization.

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

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

Improving Multi-Task Generalization via Regularizing Spurious Correlation.

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

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

2021

A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.

Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi

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

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.

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

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

Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems.

Zhe Chen, Yuyan Wang, Dong Lin, Derek Zhiyuan Cheng, Lichan Hong, Ed H. Chi, Claire Cui

Proceedings of the WSDM '21, 2021

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

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

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

Learning to Embed Categorical Features without Embedding Tables for Recommendation.

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

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

Self-supervised Learning for Large-scale Item Recommendations.

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

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

Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model.

Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei

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

2020

Deep Hash Embedding for Large-Vocab Categorical Feature Representations.

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

CoRR, 2020

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

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

CoRR, 2020

Small Towers Make Big Differences.

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

CoRR, 2020

Self-supervised Learning for Deep Models in Recommendations.

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

CoRR, 2020

Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.

Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, Simon Xiaoming Wang, Taibai Xu, Ed H. Chi

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

Off-policy Learning in Two-stage Recommender Systems.

Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi

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

Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.

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

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

2019

Recommending what video to watch next: a multitask ranking system.

Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, Ed H. Chi

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

Sampling-bias-corrected neural modeling for large corpus item recommendations.

Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, Aditee Kumthekar, Zhe Zhao, Li Wei, Ed H. Chi

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

Fairness in Recommendation Ranking through Pairwise Comparisons.

Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow

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

Efficient Training on Very Large Corpora via Gramian Estimation.

Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson

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

SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning.

Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi

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

2018

Evaluation and Refinement of Clustered Search Results with the Crowd.

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

ACM Trans. Interact. Intell. Syst., 2018

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts.

Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi

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

2017

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks.

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

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.

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

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

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

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

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

2015

Improving User Topic Interest Profiles by Behavior Factorization.

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

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

2012

Who is Authoritative? Understanding Reputation Mechanisms in Quora

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

CoRR, 2012

2011

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

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

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

Language Matters In Twitter: A Large Scale Study.

Lichan Hong, Gregorio Convertino, Ed H. Chi

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

Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles.

Brent J. Hecht, Lichan Hong, Bongwon Suh, Ed H. Chi

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

2010

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

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

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

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

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

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

FeedWinnower: layering structures over collections of information streams.

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

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

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

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

Proceedings of the International Conference on Advanced Visual Interfaces, 2010

2009

Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment.

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

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

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

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

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

With a little help from my friends: examining the impact of social annotations in sensemaking tasks.

Les Nelson, Christoph Held, Peter Pirolli, Lichan Hong, Diane J. Schiano, Ed H. Chi

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

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

Lichan Hong, Ed H. Chi

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

Remembrance of things tagged: how tagging effort affects tag production and human memory.

Raluca Budiu, Peter Pirolli, Lichan Hong

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.

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

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.

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

Inf. Vis., 2007

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

Ed Huai-hsin Chi, Michelle Gumbrecht, Lichan Hong

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

2006

Scentindex: Conceptually Reorganizing Subject Indexes for Reading.

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

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

Turning Pages of 3D Electronic Books.

Lichan Hong, Stuart K. Card, Jindong Chen

Proceedings of the IEEE Symposium on 3D User Interfaces, 2006

2005

ScentHighlights: highlighting conceptually-related sentences during reading.

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

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

Annotating 3D electronic books.

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

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

2004

eBooks with indexes that reorganize conceptually.

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

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

3Book: a scalable 3D virtual book.

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

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

3Book: a 3D electronic smart book.

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

Proceedings of the working conference on Advanced visual interfaces, 2004

2002

Automatic Centerline Extraction for Virtual Colonoscopy.

Ming Wan, Zhengrong Liang, Qi Ke, Lichan Hong, Ingmar Bitter, Arie E. Kaufman

IEEE Trans. Medical Imaging, 2002

2001

Reliable Path for Virtual Endoscopy: Ensuring Complete Examination of Human Organs.

Taosong He, Lichan Hong, Dongqing Chen, Zhengrong Liang

IEEE Trans. Vis. Comput. Graph., 2001

1999

Fast Projection-Based Ray-Casting Algorithm for Rendering Curvilinear Volumes.

Lichan Hong, Arie E. Kaufman

IEEE Trans. Vis. Comput. Graph., 1999

1998

Accelerated ray-casting for curvilinear volumes.

Lichan Hong, Arie E. Kaufman

Proceedings of the 9th IEEE Visualization Conference, 1998

Multi-Granularity Noise for Curvilinear Grid LIC.

Xiaoyang Mao, Lichan Hong, Arie E. Kaufman, Noboru Fujita, Makoto Kikukawa, Atsumi Imamiya

Proceedings of the Graphics Interface 1998 Conference, 1998

1997

Interactive volume rendering for virtual colonoscopy.

Suya You, Lichan Hong, Ming Wan, Kittiboon Junyaprasert, Arie E. Kaufman, Shigeru Muraki, Yong Zhou, Mark Wax, Zhengrong Liang

Proceedings of the 8th IEEE Visualization Conference, 1997

Virtual voyage: interactive navigation in the human colon.

Lichan Hong, Shigeru Muraki, Arie E. Kaufman, Dirk Bartz, Taosong He

Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, 1997

Notes on Computational-space-based Ray-casting for Curvilinear Volumes.

Lichan Hong, Arie E. Kaufman

Proceedings of the Dagstuhl '97, 1997

1996

Controlled Topology Simplification.

Taosong He, Lichan Hong, Amitabh Varshney, Sidney W. Wang

IEEE Trans. Vis. Comput. Graph., 1996

Generation of Transfer Functions with Stochastic Search Techniques.

Taosong He, Lichan Hong, Arie E. Kaufman, Hanspeter Pfister

Proceedings of the 7th IEEE Visualization Conference, 1996

1995

Splatting of Curvilinear Volumes.

Xiaoyang Mao, Lichan Hong, Arie E. Kaufman

Proceedings of the 6th IEEE Visualization Conference, 1995

Interactive Visualization of Mixed Scalar and Vector Fields.

Lichan Hong, Xiaoyang Mao, Arie E. Kaufman

Proceedings of the 6th IEEE Visualization Conference, 1995

Voxel Based Object Simplification.

Taosong He, Lichan Hong, Arie E. Kaufman, Amitabh Varshney, Sidney W. Wang

Proceedings of the 6th IEEE Visualization Conference, 1995

1994

VolVis: A Diversified Volume Visualization System.

Ricardo S. Avila, Taosong He, Lichan Hong, Arie E. Kaufman, Hanspeter Pfister, Cláudio T. Silva, Lisa M. Sobierajski, Sidney W. Wang

Proceedings of the 5th IEEE Visualization Conference, 1994

Flow Surface Probes for Vector Field Visualization.

Cláudio T. Silva, Lichan Hong, Arie E. Kaufman

Proceedings of the Scientific Visualization, 1994