Learning Hidden Features for Contextual Bandits. - Huazheng Wang; Qingyun Wu; Hongning Wang (CIKM, 2016)

Contextual Bandits in a Collaborative Environment. - Qingyun Wu; Huazheng Wang; Quanquan Gu; Hongning Wang (SIGIR, 2016)

Factorization Bandits for Interactive Recommendation. - Huazheng Wang; Qingyun Wu; Hongning Wang (AAAI, 2017)

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems. - Qingyun Wu; Hongning Wang; Liangjie Hong; Yue Shi 002 (CIKM, 2017)

Bandit Learning with Implicit Feedback. - Yi Qi; Qingyun Wu; Hongning Wang; Jie Tang 001; Maosong Sun 001 (NeurIPS, 2018)

Learning Contextual Bandits in a Non-stationary Environment. - Qingyun Wu; Naveen Iyer; Hongning Wang (SIGIR, 2018)

The lattice of envy-free matchings. - Qingyun Wu; Alvin E. Roth (Games Econ. Behav., 2018)

Three-Dimensional Reconstruction of Target Self-Calibrating System with Nonlinear Optimization Technique. - Qiangfeng Wang; Yan Cao 003; Yu Bai 006; Yujia Wu; Qingyun Wu (Int. J. Pattern Recognit. Artif. Intell., 2018)

Factorization Bandits for Online Influence Maximization. - Qingyun Wu; Zhige Li; Huazheng Wang; Wei Chen 013; Hongning Wang (KDD, 2019)

Variance Reduction in Gradient Exploration for Online Learning to Rank. - Huazheng Wang; Sonwoo Kim; Eric McCord-Snook; Qingyun Wu; Hongning Wang (SIGIR, 2019)

Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests. - Qingyun Wu; Huazheng Wang; Yanen Li; Hongning Wang (WWW, 2019)

The data analysis of roughness extraction of target topography using minimum median plane fitting method. - Qiangfeng Wang; Yan Cao 003; Yu Bai 006; Yujia Wu; Qingyun Wu (Clust. Comput., 2019)

FLO: Fast and Lightweight Hyperparameter Optimization for AutoML. - Chi Wang 001; Qingyun Wu (CoRR, 2019)

Fast distributed bandits for online recommendation systems. - Kanak Mahadik; Qingyun Wu; Shuai Li 011; Amit Sabne (ICS, 2020)

Learning by Exploration: New Challenges in Real-World Environments. - Qingyun Wu; Huazheng Wang; Hongning Wang (KDD, 2020)

Global and Local Differential Privacy for Collaborative Bandits. - Huazheng Wang; Qian Zhao; Qingyun Wu; Shubham Chopra; Abhinav Khaitan; Hongning Wang (RecSys, 2020)

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. - Wenqiang Lei; Xiangnan He 001; Yisong Miao; Qingyun Wu; Richang Hong; Min-Yen Kan; Tat-Seng Chua (WSDM, 2020)

Cost Effective Optimization for Cost-related Hyperparameters. - Qingyun Wu; Chi Wang 001; Silu Huang (CoRR, 2020)

Fast Distributed Bandits for Online Recommendation Systems. - Kanak Mahadik; Qingyun Wu; Shuai Li; Amit Sabne (CoRR, 2020)

Entering classes in the college admissions model. - Qingyun Wu (Games Econ. Behav., 2020)

Frugal Optimization for Cost-related Hyperparameters. - Qingyun Wu; Chi Wang 001; Silu Huang (AAAI, 2021)

Unifying Clustered and Non-stationary Bandits. - Chuanhao Li; Qingyun Wu; Hongning Wang (AISTATS, 2021)

Economic Hyperparameter Optimization with Blended Search Strategy. - Chi Wang 001; Qingyun Wu; Silu Huang; Amin Saied (ICLR, 2021)

ChaCha for Online AutoML. - Qingyun Wu; Chi Wang 001; John Langford 001; Paul Mineiro; Marco Rossi 009 (ICML, 2021)

FLAML: A Fast and Lightweight AutoML Library. - Chi Wang 001; Qingyun Wu; Markus Weimer; Erkang Zhu (MLSys, 2021)

When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution. - Chuanhao Li; Qingyun Wu; Hongning Wang (SIGIR, 2021)

Fair AutoML. - Qingyun Wu; Chi Wang 001 (CoRR, 2021)

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. - Shijun Li 002; Wenqiang Lei; Qingyun Wu; Xiangnan He 001; Peng Jiang 002; Tat-Seng Chua (ACM Trans. Inf. Syst., 2021)

Automated Machine Learning & Tuning with FLAML. - Chi Wang 001; Qingyun Wu; Xueqing Liu 001; Luis Quintanilla (KDD, 2022)

Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization. - Kaixuan Huang; Yu Wu; Xuezhou Zhang; Shenyinying Tu; Qingyun Wu; Mengdi Wang; Huazheng Wang (CoRR, 2022)

Dynamic matching with teams. - Qingyun Wu (Oper. Res. Lett., 2022)

Forbidden Transactions and Black Markets. - Chenlin Gu; Alvin E. Roth; Qingyun Wu (Math. Oper. Res., 2022)

Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives. - Shaokun Zhang; Feiran Jia; Chi Wang 001; Qingyun Wu (ICLR, 2023)

Multi-Fidelity Multi-Armed Bandits Revisited. - Xuchuang Wang; Qingyun Wu; Wei Chen 013; John C. S. Lui (NeurIPS, 2023)

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. - Zeyu Zhang; Yi Su; Hui Yuan 002; Yiran Wu; Rishab Balasubramanian; Qingyun Wu; Huazheng Wang; Mengdi Wang (NeurIPS, 2023)

An Empirical Study on Challenging Math Problem Solving with GPT-4. - Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu; Chi Wang 001 (CoRR, 2023)

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. - Qingyun Wu; Gagan Bansal; Jieyu Zhang 001; Yiran Wu; Shaokun Zhang; Erkang Zhu; Beibin Li; Li Jiang; Xiaoyun Zhang; Chi Wang 001 (CoRR, 2023)

Coreset Selection with Prioritized Multiple Objectives. - Xiaobo Xia; Jiale Liu; Shaokun Zhang; Qingyun Wu; Tongliang Liu (CoRR, 2023)

Assessing and Verifying Task Utility in LLM-Powered Applications. - Negar Arabzadeh; Siqing Huo; Nikhil Mehta 003; Qingyun Wu; Chi Wang 001; Ahmed Awadallah 001; Charles L. A. Clarke; Julia Kiseleva (EMNLP, 2024)

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 (ICLR, 2024)

Adversarial Attacks on Combinatorial Multi-Armed Bandits. - Rishab Balasubramanian; Jiawei Li; Prasad Tadepalli; Huazheng Wang; Qingyun Wu; Haoyu Zhao (ICML, 2024)

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. - Xiaobo Xia; Jiale Liu; Shaokun Zhang; Qingyun Wu; Hongxin Wei; Tongliang Liu (ICML, 2024)

Offline Training of Language Model Agents with Functions as Learnable Weights. - Shaokun Zhang; Jieyu Zhang 001; Jiale Liu; Linxin Song; Chi Wang 001; Ranjay Krishna; Qingyun Wu (ICML, 2024)

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. - Shaokun Zhang; Yiran Wu; Zhonghua Zheng; Qingyun Wu; Chi Wang 001 (ACM Multimedia, 2024)

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications. - Negar Arabzadeh; Julia Kiseleva; Qingyun Wu; Chi Wang 001; Ahmed Awadallah 001; Victor Dibia; Adam Fourney; Charles L. A. Clarke (CoRR, 2024)

Training Language Model Agents without Modifying Language Models. - Shaokun Zhang; Jieyu Zhang 001; Jiale Liu; Linxin Song; Chi Wang 001; Ranjay Krishna; Qingyun Wu (CoRR, 2024)

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. - Yifan Zeng; Yiran Wu; Xiao Zhang; Huazheng Wang; Qingyun Wu (CoRR, 2024)

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. - Yiran Wu; Tianwei Yue; Shaokun Zhang; Chi Wang 001; Qingyun Wu (CoRR, 2024)

Embodied LLM Agents Learn to Cooperate in Organized Teams. - Xudong Guo; Kaixuan Huang; Jiale Liu; Wenhui Fan; Natalia Vélez; Qingyun Wu; Huazheng Wang; Thomas L. Griffiths 001; Mengdi Wang (CoRR, 2024)

Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search. - Zachary Coalson; Huazheng Wang; Qingyun Wu; Sanghyun Hong 001 (CoRR, 2024)

Adaptive In-conversation Team Building for Language Model Agents. - Linxin Song; Jiale Liu; Jieyu Zhang 001; Shaokun Zhang; Ao Luo; Shijian Wang; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking. - Yifan Zeng; Ojas Tendolkar; Raymond Baartmans; Qingyun Wu; Huazheng Wang; Lizhong Chen (CoRR, 2024)

EcoAct: Economic Agent Determines When to Register What Action. - Shaokun Zhang; Jieyu Zhang 001; Dujian Ding; Mirian Hipolito Garcia; Ankur Mallick; Daniel Madrigal; Menglin Xia; Victor Rühle; Qingyun Wu; Chi Wang 001 (CoRR, 2024)

Memory-Augmented Agent Training for Business Document Understanding. - Jiale Liu; Yifan Zeng; Malte Højmark-Bertelsen; Marie Normann Gadeberg; Huazheng Wang; Qingyun Wu (CoRR, 2024)

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 001; Dawei Zhou 003 (WWW (Companion Volume), 2025)

Fair Online Influence Maximization. - Xiangqi Wang; Shaokun Zhang; Jose Efraim Aguilar Escamill; Qingyun Wu; Xiangliang Zhang 001; Jian Kang; Huazheng Wang (Trans. Mach. Learn. Res., 2025)

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. - Bang Liu; Xinfeng Li; Jiayi Zhang; Jinlin Wang; Tanjin He; Sirui Hong; Hongzhang Liu; Shaokun Zhang; Kaitao Song; Kunlun Zhu; Yuheng Cheng; Suyuchen Wang; et al. (CoRR, 2025)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. - Shaokun Zhang; Yi Dong; Jieyu Zhang 001; Jan Kautz; Bryan Catanzaro; Andrew Tao; Qingyun Wu; Zhiding Yu; Guilin Liu (CoRR, 2025)

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. - Shaokun Zhang; Ming Yin; Jieyu Zhang 001; Jiale Liu; Zhiguang Han; Jingyang Zhang; Beibin Li; Chi Wang 001; Huazheng Wang; Yiran Chen 001; Qingyun Wu (CoRR, 2025)

Absolute Zero: Reinforced Self-play Reasoning with Zero Data. - Andrew Zhao; Yiran Wu; Yang Yue; Tong Wu; Quentin Xu; Yang Yue; Matthieu Lin; Shenzhi Wang; Qingyun Wu; Zilong Zheng; Gao Huang 001 (CoRR, 2025)

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale. - Jiale Liu; Yifan Zeng; Shaokun Zhang; Chi Zhang; Malte Højmark-Bertelsen; Marie Normann Gadeberg; Huazheng Wang; Qingyun Wu (CoRR, 2025)

SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. - Chelsi Jain; Yiran Wu; Yifan Zeng; Jiale Liu; S. hengyu Dai; Zhenwen Shao; Qingyun Wu; Huazheng Wang (CoRR, 2025)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. - Dujian Ding; Ankur Mallick; Shaokun Zhang; Chi Wang 001; Daniel Madrigal; Mirian del Carmen Hipolito Garcia; Menglin Xia; Laks V. S. Lakshmanan; Qingyun Wu; Victor Rühle (CoRR, 2025)

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation. - 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 (CoRR, 2025)

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. - Huan-ang Gao; Jiayi Geng; Wenyue Hua; Mengkang Hu; Xinzhe Juan; Hongzhang Liu; Shilong Liu; Jiahao Qiu; Xuan Qi; Yiran Wu; Hongru Wang 003; Han Xiao; et al. (CoRR, 2025)