Qingyun Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 61

Top Topics

Parameter Optimization

Top Venues

Publications

Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. CoRR (2024)
Xudong Guo, Kaixuan Huang, Jiale Liu, Wenhui Fan, Natalia Vélez, Qingyun Wu, Huazheng Wang, Thomas L. Griffiths, Mengdi Wang
Embodied LLM Agents Learn to Cooperate in Organized Teams. CoRR (2024)
Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR (2024)
Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles L. A. Clarke
Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications. CoRR (2024)
Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Awadallah, Charles L. A. Clarke, Julia Kiseleva
Assessing and Verifying Task Utility in LLM-Powered Applications. CoRR (2024)
Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. ICLR (2024)
Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search. CoRR (2024)
Linxin Song, Jiale Liu, Jieyu Zhang, Shaokun Zhang, Ao Luo, Shijian Wang, Qingyun Wu, Chi Wang
Adaptive In-conversation Team Building for Language Model Agents. CoRR (2024)
Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu
Training Language Model Agents without Modifying Language Models. CoRR (2024)
Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR (2024)
Xuchuang Wang, Qingyun Wu, Wei Chen, John C. S. Lui
Multi-Fidelity Multi-Armed Bandits Revisited. CoRR (2023)
Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. CoRR (2023)
Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao
Adversarial Attacks on Combinatorial Multi-Armed Bandits. CoRR (2023)
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang
An Empirical Study on Challenging Math Problem Solving with GPT-4. CoRR (2023)
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS (2023)
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR (2023)
Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Tongliang Liu
Coreset Selection with Prioritized Multiple Objectives. CoRR (2023)
Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. ICLR (2023)
Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. CoRR (2023)
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR (2023)
Xuchuang Wang, Qingyun Wu, Wei Chen, John C. S. Lui
Multi-Fidelity Multi-Armed Bandits Revisited. NeurIPS (2023)
Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR (2022)
Chenlin Gu, Alvin E. Roth, Qingyun Wu
Forbidden Transactions and Black Markets. Math. Oper. Res. 47 (4) (2022)
Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla
Automated Machine Learning & Tuning with FLAML. KDD (2022)
Qingyun Wu
Dynamic matching with teams. Oper. Res. Lett. 50 (5) (2022)
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. ACM Trans. Inf. Syst. 39 (4) (2021)
Qingyun Wu, Chi Wang, Silu Huang
Frugal Optimization for Cost-related Hyperparameters. AAAI (2021)
Chi Wang, Qingyun Wu, Silu Huang, Amin Saied
Economic Hyperparameter Optimization with Blended Search Strategy. ICLR (2021)
Chi Wang, Qingyun Wu, Markus Weimer, Erkang Zhu
FLAML: A Fast and Lightweight AutoML Library. MLSys (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
Unifying Clustered and Non-stationary Bandits. AISTATS (2021)
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
ChaCha for Online AutoML. ICML (2021)
Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi
ChaCha for Online AutoML. CoRR (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. CoRR (2021)
Qingyun Wu, Chi Wang
Fair AutoML. CoRR (2021)
Chuanhao Li, Qingyun Wu, Hongning Wang
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. SIGIR (2021)
Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang
Global and Local Differential Privacy for Collaborative Bandits. RecSys (2020)
Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne
Fast distributed bandits for online recommendation systems. ICS (2020)
Chuanhao Li, Qingyun Wu, Hongning Wang
Unifying Clustered and Non-stationary Bandits. CoRR (2020)
Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. CoRR (2020)
Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne
Fast Distributed Bandits for Online Recommendation Systems. CoRR (2020)
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. CoRR (2020)
Qingyun Wu
Entering classes in the college admissions model. Games Econ. Behav. 124 (2020)
Qingyun Wu, Huazheng Wang, Hongning Wang
Learning by Exploration: New Challenges in Real-World Environments. KDD (2020)
Qingyun Wu, Chi Wang, Silu Huang
Cost Effective Optimization for Cost-related Hyperparameters. CoRR (2020)
Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM (2020)
Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
Factorization Bandits for Online Influence Maximization. CoRR (2019)
Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang
Factorization Bandits for Online Influence Maximization. KDD (2019)
Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang
Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. WWW (2019)
Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang
Variance Reduction in Gradient Exploration for Online Learning to Rank. CoRR (2019)
Qiangfeng Wang, Yan Cao, Yu Bai, Yujia Wu, Qingyun Wu
The data analysis of roughness extraction of target topography using minimum median plane fitting method. Clust. Comput. 22 (Supplement) (2019)
Chi Wang, Qingyun Wu
FLO: Fast and Lightweight Hyperparameter Optimization for AutoML. CoRR (2019)
Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang
Variance Reduction in Gradient Exploration for Online Learning to Rank. SIGIR (2019)
Qingyun Wu, Naveen Iyer, Hongning Wang
Learning Contextual Bandits in a Non-stationary Environment. CoRR (2018)
Qingyun Wu, Naveen Iyer, Hongning Wang
Learning Contextual Bandits in a Non-stationary Environment. SIGIR (2018)
Qingyun Wu, Alvin E. Roth
The lattice of envy-free matchings. Games Econ. Behav. 109 (2018)
Qiangfeng Wang, Yan Cao, Yu Bai, Yujia Wu, Qingyun Wu
Three-Dimensional Reconstruction of Target Self-Calibrating System with Nonlinear Optimization Technique. Int. J. Pattern Recognit. Artif. Intell. 32 (6) (2018)
Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun
Bandit Learning with Implicit Feedback. NeurIPS (2018)
Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. CIKM (2017)
Huazheng Wang, Qingyun Wu, Hongning Wang
Factorization Bandits for Interactive Recommendation. AAAI (2017)
Huazheng Wang, Qingyun Wu, Hongning Wang
Learning Hidden Features for Contextual Bandits. CIKM (2016)
Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang
Contextual Bandits in a Collaborative Environment. SIGIR (2016)