Παρακολούθηση
Qingyun Wu
Qingyun Wu
The Pennsylvania State University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα psu.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Q Wu, G Bansal, J Zhang, Y Wu, S Zhang, E Zhu, B Li, L Jiang, X Zhang, ...
arXiv preprint arXiv:2308.08155, 2023
7632023
Estimation-action-reflection: Towards deep interaction between conversational and recommender systems
W Lei, X He, Y Miao, Q Wu, R Hong, MY Kan, TS Chua
Proceedings of the 13th International Conference on Web Search and Data …, 2020
3122020
Flaml: A fast and lightweight automl library
C Wang, Q Wu, M Weimer, E Zhu
Proceedings of Machine Learning and Systems 3, 434-447, 2021
2252021
Seamlessly unifying attributes and items: Conversational recommendation for cold-start users
S Li, W Lei, Q Wu, X He, P Jiang, TS Chua
ACM Transactions on Information Systems (TOIS) 39 (4), 1-29, 2021
1392021
Factorization bandits for interactive recommendation
H Wang, Q Wu, H Wang
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1352017
Contextual Bandits in a Collaborative Environment
Q Wu, H Wang, Q Gu, H Wang
The 39th International ACM SIGIR conference on Research and Development in …, 2016
1312016
Learning contextual bandits in a non-stationary environment
Q Wu, N Iyer, H Wang
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
1042018
Returning is believing: Optimizing long-term user engagement in recommender systems
Q Wu, H Wang, L Hong, Y Shi
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
972017
Learning Hidden Features for Contextual Bandits
H Wang, Q Wu, H Wang
CIKM '16, 1633-1642, 2016
952016
Fast distributed bandits for online recommendation systems
K Mahadik, Q Wu, S Li, A Sabne
Proceedings of the 34th ACM international conference on supercomputing, 1-13, 2020
712020
An empirical study on challenging math problem solving with gpt-4
Y Wu, F Jia, S Zhang, H Li, E Zhu, Y Wang, YT Lee, R Peng, Q Wu, ...
arXiv preprint arXiv:2306.01337, 2023
502023
Factorization bandits for online influence maximization
Q Wu, Z Li, H Wang, W Chen, H Wang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
472019
Frugal optimization for cost-related hyperparameters
Q Wu, C Wang, S Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10347 …, 2021
442021
Autodefense: Multi-agent llm defense against jailbreak attacks
Y Zeng, Y Wu, X Zhang, H Wang, Q Wu
arXiv preprint arXiv:2403.04783, 2024
432024
Global and local differential privacy for collaborative bandits
H Wang, Q Zhao, Q Wu, S Chopra, A Khaitan, H Wang
Proceedings of the 14th ACM Conference on Recommender Systems, 150-159, 2020
402020
Variance reduction in gradient exploration for online learning to rank
H Wang, S Kim, E McCord-Snook, Q Wu, H Wang
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
402019
Dynamic ensemble of contextual bandits to satisfy users' changing interests
Q Wu, H Wang, Y Li, H Wang
The World Wide Web Conference, 2080-2090, 2019
322019
Economic hyperparameter optimization with blended search strategy
C Wang, Q Wu, S Huang, A Saied
International Conference on Learning Representations, 2021
312021
Embodied llm agents learn to cooperate in organized teams
X Guo, K Huang, J Liu, W Fan, N Vélez, Q Wu, H Wang, TL Griffiths, ...
arXiv preprint arXiv:2403.12482, 2024
282024
Ideal: Influence-driven selective annotations empower in-context learners in large language models
S Zhang, X Xia, Z Wang, LH Chen, J Liu, Q Wu, T Liu
arXiv preprint arXiv:2310.10873, 2023
282023
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