default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChuanhao Li 0002
Person information
- affiliation: Tsinghua University, Department of Industrial Engineering, Beijing, China
- affiliation (former): Yale University, Department of Statistics and Data Science, New Haven, CT, USA
- affiliation (PhD): University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- affiliation (former): Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
Other persons with the same name
- Chuanhao Li — disambiguation page
- Chuanhao Li 0001
![[0000-0002-5769-3739]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5769-3739")
— Beijing Institute of Technology, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[c20]Zichen Wang, Chuanhao Li, Huazheng Wang:
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition. ICML 2025- [i22]Zichen Wang, Chuanhao Li, Huazheng Wang:
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition. CoRR abs/2505.17379 (2025) - [i21]Zichen Wang, Haoyang Hong, Chuanhao Li, Haoxuan Li, Zhiheng Zhang, Huazheng Wang:
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference. CoRR abs/2510.07646 (2025) - [i20]Ed Li, Junyu Ren, Xintian Pan, Cat Yan, Chuanhao Li, Dirk Bergemann, Zhuoran Yang:
Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation. CoRR abs/2510.15624 (2025) - 2024
- [c19]Ethan Blaser, Chuanhao Li, Hongning Wang:
Federated Linear Contextual Bandits with Heterogeneous Clients. AISTATS 2024: 631-639 - [c18]Chuanhao Li, Chong Liu, Yu-Xiang Wang:
Communication-Efficient Federated Non-Linear Bandit Optimization. ICLR 2024 - [c17]Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang:
Incentivized Truthful Communication for Federated Bandits. ICLR 2024 - [c16]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? ICML 2024: 56885-56913 - [c15]Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. KDD 2024: 3874-3885 - [c14]Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui Liu, Huanqiang Zeng, Junhui Hou:
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference. NeurIPS 2024 - [c13]Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang:
Pure Exploration in Asynchronous Federated Bandits. UAI 2024: 3540-3570 - [i19]Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang:
Incentivized Truthful Communication for Federated Bandits. CoRR abs/2402.04485 (2024) - [i18]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict? CoRR abs/2402.15467 (2024) - [i17]Ethan Blaser, Chuanhao Li, Hongning Wang:
Federated Linear Contextual Bandits with Heterogeneous Clients. CoRR abs/2403.00116 (2024) - [i16]Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang:
User Welfare Optimization in Recommender Systems with Competing Content Creators. CoRR abs/2404.18319 (2024) - [i15]Chuanhao Li, Runhan Yang, Tiankai Li, Milad Bafarassat, Kourosh Sharifi, Dirk Bergemann, Zhuoran Yang:
STRIDE: A Tool-Assisted LLM Agent Framework for Strategic and Interactive Decision-Making. CoRR abs/2405.16376 (2024) - [i14]Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui Liu, Huanqiang Zeng, Junhui Hou:
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference. CoRR abs/2410.21966 (2024) - 2023
- [c12]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment. ICLR 2023 - [c11]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023: 39674-39701 - [c10]Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang:
Incentivized Communication for Federated Bandits. NeurIPS 2023 - [c9]Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu:
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS 2023 - [c8]Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Contextual Bandits under Information Gap. RecSys 2023: 415-425 - [i13]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
How Bad is Top-K Recommendation under Competing Content Creators? CoRR abs/2302.01971 (2023) - [i12]Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu:
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? CoRR abs/2306.07893 (2023) - [i11]Zhepei Wei, Chuanhao Li, Haifeng Xu, Hongning Wang:
Incentivized Communication for Federated Bandits. CoRR abs/2309.11702 (2023) - [i10]Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang:
Pure Exploration in Asynchronous Federated Bandits. CoRR abs/2310.11015 (2023) - [i9]Chuanhao Li, Chong Liu, Yu-Xiang Wang:
Communication-Efficient Federated Non-Linear Bandit Optimization. CoRR abs/2311.01695 (2023) - 2022
- [c7]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. AAAI 2022: 9457-9465 - [c6]Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. AISTATS 2022: 6529-6553 - [c5]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. ICML 2022: 25382-25406 - [c4]Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. NeurIPS 2022 - [c3]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. NeurIPS 2022 - [i8]Chuanhao Li, Hongning Wang:
Communication Efficient Federated Learning for Generalized Linear Bandits. CoRR abs/2202.01087 (2022) - [i7]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning from a Learning User for Optimal Recommendations. CoRR abs/2202.01879 (2022) - [i6]Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang:
Communication Efficient Distributed Learning for Kernelized Contextual Bandits. CoRR abs/2206.04835 (2022) - 2021
- [c2]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. AISTATS 2021: 1063-1071 - [c1]Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. SIGIR 2021: 1410-1419 - [i5]Huazheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang:
Incentivizing Exploration in Linear Bandits under Information Gap. CoRR abs/2104.03860 (2021) - [i4]Chuanhao Li, Qingyun Wu, Hongning Wang:
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. CoRR abs/2104.07150 (2021) - [i3]Chuanhao Li, Hongning Wang:
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits. CoRR abs/2110.01463 (2021) - [i2]Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. CoRR abs/2110.03068 (2021) - 2020
- [i1]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. CoRR abs/2009.02463 (2020)
2010 – 2019
- 2018
- [j3]Chuanhao Li, Wei Zhang, Gaoliang Peng, Shaohui Liu:
Bearing Fault Diagnosis Using Fully-Connected Winner-Take-All Autoencoder. IEEE Access 6: 6103-6115 (2018) - [j2]Yuanhang Chen, Gaoliang Peng, Chaohao Xie, Wei Zhang, Chuanhao Li, Shaohui Liu:
ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis. Neurocomputing 294: 61-71 (2018) - 2017
- [j1]Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen, Zhujun Zhang:
A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals. Sensors 17(2): 425 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-02-13 00:39 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
