Xiaotie Deng
Professor
Researches algorithmic game theory, computational economics, blockchain and online algorithms, including learning in games.
Xiaotie Deng's lab at Peking works on reasoning & neuro-symbolic AI, learning theory & optimization and computational social science. 59 papers since 2023, 28 at top venues, mostly AAMAS and WWW. Applications close .
At a glance
- papers, 2023–2026
- 15/ year
- at T1 venues
- 47%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 9 papers2026 · T1 3 · collecting
- 20 papers2025 · T1 8
- 12 papers2024 · T1 7
- 18 papers2023 · T1 10
T1 venuesOtherVenues: AAMAS, WWW, AAAI, KDD, ICML
Research focuspaper titles that use each topic's words
- Learning theory & optimization9 papers
- games7 papers
- blockchain4 papers
- Computational social science2 papers
- Reasoning & neuro-symbolic AI0 papers
Paper list
From DBLP.
20269 papers
- WWW (T1)Automated Deterministic Auction Design with Objective Decomposition (opens in a new tab)
- Inf. FusionCoSE: connectivity-oriented semantic enhancement for mitigating hallucinations in multimodal LLMs (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.Flexible and Privacy-Preserving Access Control Framework for Decentralized Identity Systems (opens in a new tab)
- AAMAS (T1)Learning Truthful Mechanisms without Discretization (opens in a new tab)
- KDD (T1)MALLES: A Multi-agent LLMs-based Economic Sandbox with Consumer Preference Alignment (opens in a new tab)
- SPPrrr: Personal Random Rewards for Blockchain Reporting (opens in a new tab)
- Findings of ACLTinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks (opens in a new tab)
- IEEE Trans. Big DataTraceable, Fair and Privacy-Preserving Decentralized Medical Data Exchange (opens in a new tab)
- Inf. Comput.Truthful approximation for rank-maximal matchings (opens in a new tab)
202520 papers
- Expert Systems with ApplicationsA Survey on recent advances in reinforcement learning for intelligent investment decision-making optimization (opens in a new tab)
- KDD (T1)An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising (opens in a new tab)
- Inf. Comput.Automating approximation analysis for Nash equilibria algorithms in two-player games (opens in a new tab)
- KDD (T1)Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui" (opens in a new tab)
- Inf. Comput.Competition among parallel contests (opens in a new tab)
- WINEEx-Ante Truthful Distribution-Reporting Mechanisms (opens in a new tab)
- Games Econ. Behav.From monopoly to competition: When do optimal contests prevail? (opens in a new tab)
- IJTCS-FAWLarge-Scale Contextual Market Equilibrium Computation Through Deep Learning (opens in a new tab)
- EC (T1)Learning a Stackelberg Leader's Incentives from Optimal Commitments (opens in a new tab)
- WWW (T1)Learning against Non-credible Second-Price Auctions (opens in a new tab)
- IJTCS-FAWMechanism Design for Auctions with Externalities on Budgets (opens in a new tab)
- NeurIPS (T1)Mechanism Design for LLM Fine-tuning with Multiple Reward Models (opens in a new tab)
202412 papers
- WINEA Computer-Aided Approach for Approximate Nash Equilibria (opens in a new tab)
- Comput. Sci. Rev.A survey on algorithms for Nash equilibria in finite normal-form games (opens in a new tab)
- WWW (T1)Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms (opens in a new tab)
- WINEAggregation of Antagonistic Contingent Preferences: When Is It Possible? (opens in a new tab)
- EC (T1)Are Bounded Contracts Learnable and Approximately Optimal? (opens in a new tab)
- WWW (T1)Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties (opens in a new tab)
- AAAI (T1)Competition among Pairwise Lottery Contests (opens in a new tab)
- NeurIPS (T1)Contextual Decision-Making with Knapsacks Beyond the Worst Case (opens in a new tab)
- IEEE Trans. Cloud Comput.Decentralized Funding of Public Goods in Blockchain System: Leveraging Expert Advice (opens in a new tab)
- AAAI (T1)Dynamic Budget Throttling in Repeated Second-Price Auctions (opens in a new tab)
- ICLR (T1)Learning Thresholds with Latent Values and Censored Feedback (opens in a new tab)
- Games Econ. Behav.Tight incentive analysis of Sybil attacks against the market equilibrium of resource exchange over general networks (opens in a new tab)
202318 papers
- IEEE Trans. Cloud Comput.A Provable Softmax Reputation-Based Protocol for Permissioned Blockchains (opens in a new tab)
- NeurIPS (T1)A Scalable Neural Network for DSIC Affine Maximizer Auction Design (opens in a new tab)
- AAMAS (T1)Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games (opens in a new tab)
- IEEE Trans. Cloud Comput.An Efficient and Robust Committee Structure for Sharding Blockchain (opens in a new tab)
- ICML (T1)Are Equivariant Equilibrium Approximators Beneficial? (opens in a new tab)
- ICML (T1)Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets (opens in a new tab)
- WINEEquilibrium Analysis of Customer Attraction Games (opens in a new tab)
- AAAI (T1)From Monopoly to Competition: Optimal Contests Prevail (opens in a new tab)
- WINEImproved Truthful Rank Approximation for Rank-Maximal Matchings (opens in a new tab)
- AAMAS (T1)Is Nash Equilibrium Approximator Learnable? (opens in a new tab)
- ICML (T1)Learning to Bid in Repeated First-Price Auctions with Budgets (opens in a new tab)
- KDD (T1)Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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