Published 'An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising' at KDD 2025
Published 'Auto-Bidding in Large-Scale Auctions: Learning Decision-Making in Uncertain and Competitive Games' in NeurIPS 2024 Competition Track
Published survey 'A Survey on Algorithms for Nash Equilibria in Finite Normal-Form Games' in Computer Science Review, 2024
Published 'A Scalable Neural Network for DSIC Affine Maximizer Auction Design' at NeurIPS 2023 (Spotlight, top 5%)
Two papers at ICML 2023: 'Are Equivariant Equilibrium Approximators Beneficial?' and 'Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets'
Published 'Learning-Based Ad Auction Design with Externalities: the Framework and A Matching-Based Approach' at KDD 2023
Published 'Is Nash Equilibrium Approximator Learnable?' at AAMAS 2023
Published 'A Context-Integrated Transformer-Based Neural Network for Auction Design' at ICML 2022
Published 'Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity' at DASFAA 2022
Published 'Autoint: Automatic feature interaction learning via self-attentive neural networks' at CIKM 2019
Multiple preprints on arXiv (2024–2019), including works on automated auction design and market equilibrium computation