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2020 – today
- 2025
[j9]Zachary Coalson, Huazheng Wang, Qingyun Wu, Sanghyun Hong:
Hard Work Does Not Always Pay Off: On the Robustness of NAS to Data Poisoning. Trans. Mach. Learn. Res. 2025 (2025)- [j8]Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamill, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang:
Fair Online Influence Maximization. Trans. Mach. Learn. Res. 2025 (2025) - [c32]Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle:
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. ICML 2025 - [c31]Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu:
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. ICML 2025 - [c30]Lifu Huang
, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou:
Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. WWW (Companion Volume) 2025: 1639-1642 - [i42]Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian T. Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu:
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. CoRR abs/2504.01990 (2025) - [i41]Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu:
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. CoRR abs/2505.00024 (2025) - [i40]Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu:
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. CoRR abs/2505.00212 (2025) - [i39]Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang:
Absolute Zero: Reinforced Self-play Reasoning with Zero Data. CoRR abs/2505.03335 (2025) - [i38]Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Højmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu:
Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale. CoRR abs/2505.03973 (2025) - [i37]Chelsi Jain, Yiran Wu, Yifan Zeng, Jiale Liu, S. hengyu Dai, Zhenwen Shao, Qingyun Wu, Huazheng Wang:
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. CoRR abs/2506.14035 (2025) - [i36]Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle:
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. CoRR abs/2506.22716 (2025) - [i35]Yiran Wu, Mauricio Velazco, Andrew Zhao, Manuel Raúl Meléndez Luján, Srisuma Movva, Yogesh K. Roy, Quang Nguyen, Roberto Rodriguez, Qingyun Wu, Michael Albada, Julia Kiseleva, Anand Mudgerikar:
ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation. CoRR abs/2507.14201 (2025) - [i34]Huan-ang Gao, Jiayi Geng, Wenyue Hua, Mengkang Hu, Xinzhe Juan, Hongzhang Liu, Shilong Liu, Jiahao Qiu, Xuan Qi, Yiran Wu, Hongru Wang, Han Xiao, Yuhang Zhou, Shaokun Zhang, Jiayi Zhang, Jinyu Xiang, Yixiong Fang, Qiwen Zhao, Dongrui Liu, Qihan Ren, Cheng Qian, Zhenhailong Wang, Minda Hu, Huazheng Wang, Qingyun Wu, Heng Ji, Mengdi Wang:
A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. CoRR abs/2507.21046 (2025) - [i33]Xiang Li, Huizi Yu, Wenkong Wang, Yiran Wu, Jiayan Zhou, Wenyue Hua, Xinxin Lin, Wenjia Tan, Lexuan Zhu, Bingyi Chen, Guang Chen, Ming-Li Chen, Yang Zhou, Zhao Li, Themistocles L. Assimes, Yongfeng Zhang, Qingyun Wu, Xin Ma, Lingyao Li, Lizhou Fan:
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services. CoRR abs/2510.21228 (2025) - 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 - [i32]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) - [i31]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) - [i30]Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu:
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR abs/2403.04783 (2024) - [i29]Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu:
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR abs/2403.11322 (2024) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang:
EcoAct: Economic Agent Determines When to Register What Action. CoRR abs/2411.01643 (2024) - [i22]Jiale Liu, Yifan Zeng, Malte Højmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu:
Memory-Augmented Agent Training for Business Document Understanding. CoRR abs/2412.15274 (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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