Incentivize crowd labeling under budget constraint. - Qi Zhang 038; Yutian Wen; Xiaohua Tian; Xiaoying Gan; Xinbing Wang (INFOCOM, 2015)

Quality-Driven Auction-Based Incentive Mechanism for Mobile Crowd Sensing. - Yutian Wen; Jinyu Shi; Qi Zhang 038; Xiaohua Tian; Zhengyong Huang; Hui Yu 002; Yu Cheng 003; Xuemin Shen (IEEE Trans. Veh. Technol., 2015)

Commitment Semantics for Sequential Decision Making under Reward Uncertainty. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001; Anna Chen; Stefan J. Witwicki (IJCAI, 2016)

Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making. - Qi Zhang 038; Satinder Singh 001; Edmund H. Durfee (ICAPS, 2017)

Challenges in the Trustworthy Pursuit of Maintenance Commitments Under Uncertainty. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001 (TRUST@AAMAS, 2018)

Learning to Communicate and Solve Visual Blocks-World Tasks. - Qi Zhang 038; Richard L. Lewis; Satinder Singh 001; Edmund H. Durfee (AAAI, 2019)

Computational Strategies for the Trustworthy Pursuit and the Safe Modeling of Probabilistic Maintenance Commitments. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001 (AISafety@IJCAI, 2019)

Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001 (AAAI, 2020)

Semantics and algorithms for trustworthy commitment achievement under model uncertainty. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001 (Auton. Agents Multi Agent Syst., 2020)

Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination. - Qi Zhang 038 (2020)

Efficient Querying for Cooperative Probabilistic Commitments. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001 (AAAI, 2021)

Knowledge Infused Policy Gradients for Adaptive Pandemic Control. - Kaushik Roy 009; Qi Zhang 038; Manas Gaur; Amit P. Sheth (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. - Kaushik Roy 009; Qi Zhang 038; Manas Gaur; Amit P. Sheth (ECML/PKDD (1), 2021)

Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games. - Dingyang Chen 001; Yile Li; Qi Zhang 038 (ICLR, 2022)

Ensemble Policy Distillation with Reduced Data Distribution Mismatch. - Yuxiang Sun; Qi Zhang 038 (IJCNN, 2022)

Process Knowledge-infused Learning for Suicidality Assessment on Social Media. - Kaushik Roy 009; Manas Gaur; Qi Zhang 038; Amit P. Sheth (CoRR, 2022)

Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games. - Dingyang Chen 001; Qi Zhang 038; Thinh T. Doan 001 (CoRR, 2022)

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning. - Dingyang Chen 001; Qi Zhang 038 (ICML, 2023)

Risk-aware analysis for interpretations of probabilistic achievement and maintenance commitments. - Qi Zhang 038; Edmund H. Durfee; Satinder Singh 001 (Artif. Intell., 2023)

Packet-Level Throughput Analysis and Energy Efficiency Optimization for UAV-Assisted IAB Heterogeneous Cellular Networks. - Yue Zhang 020; Hangguan Shan; Meiyan Song; Howard H. Yang; Xuemin Shen; Qi Zhang 038; Xianhua He (IEEE Trans. Veh. Technol., 2023)

E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning. - Dingyang Chen 001; Qi Zhang 038 (ICML, 2024)

On the Spatio-Temporal Analysis and Optimization of AoI in Cell-Free IIoT Networks. - Meiyan Song; Hangguan Shan; Yu Cheng 003; Weihua Zhuang; Xinyu Li 001; Qi Zhang 038; Xianhua He (IEEE Trans. Wirel. Commun., 2024)