Zhe Zhao

According to our database, Zhe Zhao authored at least 45 papers between 2010 and 2024.

Collaborative distances:

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

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

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

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction.

Yi Wu, Daryl Chang, Jennifer She, Zhe Zhao, Li Wei, Lukasz Heldt

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

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

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

COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search.

Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder

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

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization.

Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder

Proceedings of the International Conference on Machine Learning, 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

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

Transformer Memory as a Differentiable Search Index.

Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Prakash Gupta, Tal Schuster, William W. Cohen, Donald Metzler

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

HyperPrompt: Prompt-based Task-Conditioning of Transformers.

Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Prakash Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, YaGuang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi

Proceedings of the International Conference on Machine Learning, 2022

2021

The Benchmark Lottery.

Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals

CoRR, 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

Efficiently Identifying Task Groupings for Multi-Task Learning.

Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

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

Synthesizer: Rethinking Self-Attention for Transformer Models.

Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng

Proceedings of the 38th International Conference on Machine Learning, 2021

HyperGrid Transformers: Towards A Single Model for Multiple Tasks.

Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan

Proceedings of the 9th International Conference on Learning Representations, 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

Measuring and Harnessing Transference in Multi-Task Learning.

Christopher Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn

CoRR, 2020

Small Towers Make Big Differences.

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

CoRR, 2020

HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections.

Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan

CoRR, 2020

Understanding and Improving Knowledge Distillation.

Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain

CoRR, 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

Multitask Mixture of Sequential Experts for User Activity Streams.

Zhen Qin, Yicheng Cheng, Zhe Zhao, Zhe Chen, Donald Metzler, Jingzheng Qin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

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

Identify Shifts of Word Semantics through Bayesian Surprise.

Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 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

Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations.

Alex Beutel, Jilin Chen, Zhe Zhao, Ed H. Chi

CoRR, 2017

2016

Detecting Social Media Icebergs by Their Tips: Rumors, Persuasion Campaigns, and Information Needs.

Zhe Zhao

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015

Towards the prediction problems of bursting hashtags on Twitter.

Shoubin Kong, Fei Ye, Ling Feng, Zhe Zhao

J. Assoc. Inf. Sci. Technol., 2015

Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts.

Zhe Zhao, Paul Resnick, Qiaozhu Mei

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

2014

On the Real-time Prediction Problems of Bursting Hashtags in Twitter.

Shoubin Kong, Qiaozhu Mei, Ling Feng, Zhe Zhao, Fei Ye

CoRR, 2014

Real-Time Predicting Bursting Hashtags on Twitter.

Shoubin Kong, Qiaozhu Mei, Ling Feng, Zhe Zhao

Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Predicting bursts and popularity of hashtags in real-time.

Shoubin Kong, Qiaozhu Mei, Ling Feng, Fei Ye, Zhe Zhao

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2013

Questions about questions: an empirical analysis of information needs on Twitter.

Zhe Zhao, Qiaozhu Mei

Proceedings of the 22nd International World Wide Web Conference, 2013

2012

A Framework for Similarity Search of Time Series Cliques with Natural Relations.

Bin Cui, Zhe Zhao, Wee Hyong Tok

IEEE Trans. Knowl. Data Eng., 2012

Extracting representative motion flows for effective video retrieval.

Zhe Zhao, Bin Cui, Gao Cong, Zi Huang, Heng Tao Shen

Multim. Tools Appl., 2012

Recommending Flickr groups with social topic model.

Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi

Inf. Retr., 2012

2010

Multiple feature fusion for social media applications.

Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Efficient similarity matching of Time Series Cliques with natural relations.

Zhe Zhao, Bin Cui, Wee Hyong Tok, Jiakui Zhao

Proceedings of the 26th International Conference on Data Engineering, 2010