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portfolio
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publications
An FPTAS for Stochastic Unbounded Min-Knapsack Problem
Published in International Frontiers of Algorithmics Workshop, 2019
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Stochastic One-Sided Full-Information Bandit
Published in The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019
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Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
Published in AAAI Conference on Artificial Intelligence, 2019
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Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting
Published in AAAI Conference on Artificial Intelligence, 2019
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Mildly Overparametrized Neural Nets can Memorize Training Data Efficiently
Published in , 2019
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Combinatorial Pure Exploration of Dueling Bandit
Published in International Conference on Machine Learning, 2020
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Combinatorial Semi-Bandit in the Non-Stationary Environment
Published in The Conference on Uncertainty in Artificial Intelligence, 2021
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FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning
Published in , 2021
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BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Published in Conference on Neural Information Processing Systems, 2022
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SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
Published in Conference on Neural Information Processing Systems, 2022
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Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering
Published in Conference on Neural Information Processing Systems, 2022
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Task-Specific Skill Localization in Fine-tuned Language Models
Published in International Conference on Machine Learning, 2023
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Faster Rates for Compressed Federated Learning with Client-Variance Reduction
Published in SIAM Journal on Mathematics of Data Science, 2023
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Do Transformers Parse while Predicting the Masked Word?
Published in Conference on Empirical Methods in Natural Language Processing, 2023
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Adversarial Attacks on Combinatorial Multi-Armed Bandits
Published in International Conference on Machine Learning, 2024
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Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
Published in Conference on Neural Information Processing Systems, 2024
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Can Models Learn Skill Composition from Examples?
Published in Conference on Neural Information Processing Systems, 2024
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Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set
Published in , 2025
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talks
Oral presentation at ECML/PKDD 2019
Published:
In this talk, I presented my work with Prof. Wei Chen @MSRA on our paper Stochastic One-Sided Full-Information Bandit. The paper can be downloaded here. Read more
Oral presentation at AAAI 2020
Published:
In this talk, I presented my work with Prof. Wei Chen @MSRA on our paper Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting. Because of the virus in China, I cannot go the the AAAI main conference, and I will give my oral presentation remotely. The paper can be downloaded here. The PPT is available at here. Read more
Presentation at FLOW: Federated Learning One World Seminar
Published:
In this talk, I presented my work with Zhize Li @KAUST and Peter Richtárik on our paper FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning. Read more
Video presentation at NeurIPS 2022
Published:
In this talk, I use 5 minutes to present our paper BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. You can visit my talk online here. Read more
Video presentation at NeurIPS 2022
Published:
In this talk, I use 5 minutes to present our paper Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering. You can visit my talk online here Read more
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Read moreTeaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.