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2020 – today
- 2024
[c29]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. EMNLP 2024: 21868-21888- [c28]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 - [c27]Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao:
Adversarial Attacks on Combinatorial Multi-Armed Bandits. ICML 2024 - [c26]Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu:
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. ICML 2024 - [c25]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Offline Training of Language Model Agents with Functions as Learnable Weights. ICML 2024 - [c24]Shaokun Zhang
, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. ACM Multimedia 2024: 4610-4619 - [i30]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 abs/2402.09015 (2024) - [i29]Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu:
Training Language Model Agents without Modifying Language Models. CoRR abs/2402.11359 (2024) - [i28]Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu:
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR abs/2403.04783 (2024) - [i27]Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu:
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR abs/2403.11322 (2024) - [i26]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 abs/2403.12482 (2024) - [i25]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 abs/2405.02178 (2024) - [i24]Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong:
Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search. CoRR abs/2405.06073 (2024) - [i23]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 abs/2405.19425 (2024) - [i22]Yifan Zeng, Ojas Tendolkar, Raymond Baartmans, Qingyun Wu, Huazheng Wang, Lizhong Chen:
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. CoRR abs/2406.00231 (2024) - 2023
- [c23]Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu:
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. ICLR 2023 - [c22]Xuchuang Wang, Qingyun Wu, Wei Chen, John C. S. Lui:
Multi-Fidelity Multi-Armed Bandits Revisited. NeurIPS 2023 - [c21]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 - [i21]Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. CoRR abs/2305.18421 (2023) - [i20]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 abs/2306.01337 (2023) - [i19]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 abs/2306.07528 (2023) - [i18]Xuchuang Wang, Qingyun Wu, Wei Chen, John C. S. Lui:
Multi-Fidelity Multi-Armed Bandits Revisited. CoRR abs/2306.07761 (2023) - [i17]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 abs/2308.08155 (2023) - [i16]Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao:
Adversarial Attacks on Combinatorial Multi-Armed Bandits. CoRR abs/2310.05308 (2023) - [i15]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 abs/2310.10873 (2023) - [i14]Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Tongliang Liu:
Coreset Selection with Prioritized Multiple Objectives. CoRR abs/2311.08675 (2023) - 2022
- [j7]Chenlin Gu, Alvin E. Roth, Qingyun Wu:
Forbidden Transactions and Black Markets. Math. Oper. Res. 47(4): 3084-3109 (2022) - [j6]Qingyun Wu:
Dynamic matching with teams. Oper. Res. Lett. 50(5): 618-622 (2022) - [c20]Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla:
Automated Machine Learning & Tuning with FLAML. KDD 2022: 4828-4829 - [i13]Kaixuan Huang, Yu Wu, Xuezhou Zhang, Shenyinying Tu, Qingyun Wu, Mengdi Wang, Huazheng Wang:
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. CoRR abs/2206.14846 (2022) - 2021
- [j5]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): 40:1-40:29 (2021) - [c19]Qingyun Wu, Chi Wang, Silu Huang:
Frugal Optimization for Cost-related Hyperparameters. AAAI 2021: 10347-10354 - [c18]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. AISTATS 2021: 1063-1071 - [c17]Chi Wang, Qingyun Wu, Silu Huang, Amin Saied:
Economic Hyperparameter Optimization with Blended Search Strategy. ICLR 2021 - [c16]Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi:
ChaCha for Online AutoML. ICML 2021: 11263-11273 - [c15]Chi Wang, Qingyun Wu, Markus Weimer, Erkang Zhu:
FLAML: A Fast and Lightweight AutoML Library. MLSys 2021 - [c14]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 - [i12]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) - [i11]Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi:
ChaCha for Online AutoML. CoRR abs/2106.04815 (2021) - [i10]Qingyun Wu, Chi Wang:
Fair AutoML. CoRR abs/2111.06495 (2021) - 2020
- [j4]Qingyun Wu:
Entering classes in the college admissions model. Games Econ. Behav. 124: 579-587 (2020) - [c13]Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne:
Fast distributed bandits for online recommendation systems. ICS 2020: 4:1-4:13 - [c12]Qingyun Wu, Huazheng Wang, Hongning Wang:
Learning by Exploration: New Challenges in Real-World Environments. KDD 2020: 3575-3576 - [c11]Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang:
Global and Local Differential Privacy for Collaborative Bandits. RecSys 2020: 150-159 - [c10]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: 304-312 - [i9]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 abs/2002.09102 (2020) - [i8]Qingyun Wu, Chi Wang, Silu Huang:
Cost Effective Optimization for Cost-related Hyperparameters. CoRR abs/2005.01571 (2020) - [i7]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 abs/2005.12979 (2020) - [i6]Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne:
Fast Distributed Bandits for Online Recommendation Systems. CoRR abs/2007.08061 (2020) - [i5]Chuanhao Li, Qingyun Wu, Hongning Wang:
Unifying Clustered and Non-stationary Bandits. CoRR abs/2009.02463 (2020)
2010 – 2019
- 2019
- [j3]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): 10385-10395 (2019) - [c9]Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang:
Factorization Bandits for Online Influence Maximization. KDD 2019: 636-646 - [c8]Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang:
Variance Reduction in Gradient Exploration for Online Learning to Rank. SIGIR 2019: 835-844 - [c7]Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang:
Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. WWW 2019: 2080-2090 - [i4]Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang:
Factorization Bandits for Online Influence Maximization. CoRR abs/1906.03737 (2019) - [i3]Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang:
Variance Reduction in Gradient Exploration for Online Learning to Rank. CoRR abs/1906.03766 (2019) - [i2]Chi Wang, Qingyun Wu:
FLO: Fast and Lightweight Hyperparameter Optimization for AutoML. CoRR abs/1911.04706 (2019) - 2018
- [j2]Qingyun Wu, Alvin E. Roth:
The lattice of envy-free matchings. Games Econ. Behav. 109: 201-211 (2018) - [j1]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): 1855008:1-1855008:19 (2018) - [c6]Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun:
Bandit Learning with Implicit Feedback. NeurIPS 2018: 7287-7297 - [c5]Qingyun Wu, Naveen Iyer, Hongning Wang:
Learning Contextual Bandits in a Non-stationary Environment. SIGIR 2018: 495-504 - [i1]Qingyun Wu, Naveen Iyer, Hongning Wang:
Learning Contextual Bandits in a Non-stationary Environment. CoRR abs/1805.09365 (2018) - 2017
- [c4]Huazheng Wang, Qingyun Wu, Hongning Wang:
Factorization Bandits for Interactive Recommendation. AAAI 2017: 2695-2702 - [c3]Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi:
Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. CIKM 2017: 1927-1936 - 2016
- [c2]Huazheng Wang, Qingyun Wu, Hongning Wang:
Learning Hidden Features for Contextual Bandits. CIKM 2016: 1633-1642 - [c1]Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang:
Contextual Bandits in a Collaborative Environment. SIGIR 2016: 529-538
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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