Qingyun Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
14
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems. | Jiale Liu, Victor S. Bursztyn, Lin Ai, Haoliang Wang, Sunav Choudhary, Saayan Mitra, Qingyun Wu |
| 2026 | EACL | Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs. | Chi Zhang, Wenxuan Ding, Jiale Liu, Mingrui Wu, Qingyun Wu, Ray Mooney |
| 2025 | EMNLP | SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. | Chelsi Jain, Yiran Wu, Yifan Zeng, Jiale Liu, Shengyu Dai, Zhenwen Shao, Qingyun Wu, Huazheng Wang |
| 2025 | EMNLP | Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents. | Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Hjmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu |
| 2025 | ICML | BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. | Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rhle |
| 2025 | ICML | Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. | Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu |
| 2025 | WWW | Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. | Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou |
| 2024 | EMNLP | Assessing and Verifying Task Utility in LLM-Powered Applications. | Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Awadallah, Charles L. A. Clarke, Julia Kiseleva |
| 2024 | ICLR | IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. | Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu |
| 2024 | ICML | Adversarial Attacks on Combinatorial Multi-Armed Bandits. | Rishab Balasubramanian, Jiawei Li, Prasad Tadepalli, Huazheng Wang, Qingyun Wu, Haoyu Zhao |
| 2024 | ICML | Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. | Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu |
| 2024 | ICML | Offline Training of Language Model Agents with Functions as Learnable Weights. | Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu |
| 2023 | ICLR | Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. | Shaokun Zhang, Feiran Jia, Chi Wang, Qingyun Wu |
| 2022 | KDD | Automated Machine Learning & Tuning with FLAML. | Chi Wang, Qingyun Wu, Xueqing Liu, Luis Quintanilla |
| 2021 | AAAI | Frugal Optimization for Cost-related Hyperparameters. | Qingyun Wu, Chi Wang, Silu Huang |
| 2021 | AISTATS | Unifying Clustered and Non-stationary Bandits. | Chuanhao Li, Qingyun Wu, Hongning Wang |
| 2021 | ICLR | Economic Hyperparameter Optimization with Blended Search Strategy. | Chi Wang, Qingyun Wu, Silu Huang, Amin Saied |
| 2021 | ICML | ChaCha for Online AutoML. | Qingyun Wu, Chi Wang, John Langford, Paul Mineiro, Marco Rossi |
| 2021 | SIGIR | When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. | Chuanhao Li, Qingyun Wu, Hongning Wang |
| 2020 | ICS | Fast distributed bandits for online recommendation systems. | Kanak Mahadik, Qingyun Wu, Shuai Li, Amit Sabne |
| 2020 | KDD | Learning by Exploration: New Challenges in Real-World Environments. | Qingyun Wu, Huazheng Wang, Hongning Wang |
| 2020 | RecSys | Global and Local Differential Privacy for Collaborative Bandits. | Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang |
| 2020 | WSDM | Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. | Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua |
| 2019 | KDD | Factorization Bandits for Online Influence Maximization. | Qingyun Wu, Zhige Li, Huazheng Wang, Wei Chen, Hongning Wang |
| 2019 | WWW | Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. | Qingyun Wu, Huazheng Wang, Yanen Li, Hongning Wang |
| 2019 | SIGIR | Variance Reduction in Gradient Exploration for Online Learning to Rank. | Huazheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang |
| 2018 | SIGIR | Learning Contextual Bandits in a Non-stationary Environment. | Qingyun Wu, Naveen Iyer, Hongning Wang |
| 2017 | AAAI | Factorization Bandits for Interactive Recommendation. | Huazheng Wang, Qingyun Wu, Hongning Wang |
| 2017 | CIKM | Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. | Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi |
| 2016 | CIKM | Learning Hidden Features for Contextual Bandits. | Huazheng Wang, Qingyun Wu, Hongning Wang |
| 2016 | SIGIR | Contextual Bandits in a Collaborative Environment. | Qingyun Wu, Huazheng Wang, Quanquan Gu, Hongning Wang |