Lichan Hong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
19
Active years
1997–2026
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. | 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, Rmer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng |
| 2025 | ACL | User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. | 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 | RecSys | Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates. | 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 | RecSys | Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding. | 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 |
| 2024 | ACL | 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 |
| 2024 | ICML | 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 |
| 2024 | NAACL | 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 |
| 2024 | RecSys | 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 |
| 2024 | RecSys | 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 |
| 2024 | RecSys | 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 |
| 2024 | RecSys | 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 |
| 2024 | RecSys | 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 |
| 2023 | CIKM | 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 |
| 2023 | KDD | 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 |
| 2023 | KDD | 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 |
| 2023 | RecSys | 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 |
| 2023 | RecSys | 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 |
| 2023 | SIGIR | 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 |
| 2022 | WWW | 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 |
| 2022 | WWW | Distributionally-robust Recommendations for Improving Worst-case User Experience. | Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi |
| 2021 | AISTATS | 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 |
| 2021 | CIKM | 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 |
| 2021 | KDD | 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 |
| 2021 | WWW | 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 |
| 2021 | WWW | 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 |
| 2021 | WSDM | 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 |
| 2020 | WWW | 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 |
| 2020 | WWW | 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 |
| 2020 | WWW | 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 |
| 2019 | AAAI | 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 |
| 2019 | ICLR | 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 |
| 2019 | KDD | 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 |
| 2019 | RecSys | 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 |
| 2019 | RecSys | 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 |
| 2018 | KDD | 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 |
| 2017 | KDD | 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 |
| 2016 | IUI | AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. | Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi |
| 2016 | RecSys | 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 |
| 2015 | WWW | Improving User Topic Interest Profiles by Behavior Factorization. | Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed Huai-hsin Chi |
| 2011 | CHI | 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 |
| 2011 | ICWSM | Language Matters In Twitter: A Large Scale Study. | Lichan Hong, Gregorio Convertino, Ed H. Chi |
| 2011 | ICWSM | Is Twitter a Good Place for Asking Questions? A Characterization Study. | Sharoda A. Paul, Lichan Hong, Ed H. Chi |
| 2010 | AVI | Designing a cross-channel information management tool for workers in enterprise task forces. | Gregorio Convertino, Sanjay Kairam, Lichan Hong, Bongwon Suh, Ed H. Chi |
| 2010 | CHI | FeedWinnower: layering structures over collections of information streams. | Lichan Hong, Gregorio Convertino, Bongwon Suh, Ed H. Chi, Sanjay Kairam |
| 2010 | UIST | Eddi: interactive topic-based browsing of social status streams. | Michael S. Bernstein, Bongwon Suh, Lichan Hong, Jilin Chen, Sanjay Kairam, Ed H. Chi |
| 2009 | CHI | Remembrance of things tagged: how tagging effort affects tag production and human memory. | Raluca Budiu, Peter Pirolli, Lichan Hong |
| 2009 | CHI | Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting. | Lichan Hong, Ed H. Chi |
| 2009 | CHI | 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 |
| 2009 | HCI | Activity Awareness and Social Sensemaking 2.0: Design of a Task Force Workspace. | Gregorio Convertino, Lichan Hong, Les Nelson, Peter Pirolli, Ed H. Chi |
| 2009 | HCI | 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 |
| 2008 | AVI | SparTag.us: a low cost tagging system for foraging of web content. | Lichan Hong, Ed Huai-hsin Chi, Raluca Budiu, Peter Pirolli, Les Nelson |
| 2007 | HCI | Visual Foraging of Highlighted Text: An Eye-Tracking Study. | Ed Huai-hsin Chi, Michelle Gumbrecht, Lichan Hong |
| 2005 | CHI | Annotating 3D electronic books. | Lichan Hong, Ed Huai-hsin Chi, Stuart K. Card |
| 2005 | IUI | ScentHighlights: highlighting conceptually-related sentences during reading. | Ed Huai-hsin Chi, Lichan Hong, Michelle Gumbrecht, Stuart K. Card |
| 2004 | AVI | 3Book: a 3D electronic smart book. | Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi |
| 2004 | CHI | 3Book: a scalable 3D virtual book. | Stuart K. Card, Lichan Hong, Jock D. Mackinlay, Ed Huai-hsin Chi |
| 2004 | CHI | eBooks with indexes that reorganize conceptually. | Ed Huai-hsin Chi, Lichan Hong, Julie Heiser, Stuart K. Card |
| 1997 | SIGGRAPH | Virtual voyage: interactive navigation in the human colon. | Lichan Hong, Shigeru Muraki, Arie E. Kaufman, Dirk Bartz, Taosong He |