← Authors

Bo An

128 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (11) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (23) 🏠 Conference Loyalist (21) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (28) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (28) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (24) ❓ The Questioner πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (20) πŸ’Ž Century Club (126) πŸ—ƒοΈ Keyword Collector (101) πŸ”₯ Unstoppable (11)

Conferences

IJCAI (35) AAAI (23) ICML (21) NIPS (17) ICLR (14) CVPR (4) AISTATS (3) COLING (3) ACL (2) UAI (2) EMNLP (1) IJCNLP (1) NAACL (1) SEMEVAL (1)

Top co-authors

Lei Feng (28) Xinrun Wang (23) Youzhi Zhang (12) Hongxin Wei (11) Yuzhou Cao (11) Pengjie Gu (9) Shuxin Li (8) Mengchen Zhao (7) Xianpei Han (7) RENCHUNZI XIE (7)

Research topics

Reinforcement Learning (1)

Keywords

game theory (15) reinforcement learning (12) multi-agent system (11) weakly supervised learning (9) extensive-form game (8) security game (7) nash equilibrium (7) deep reinforcement learning (6) multiplayer game (5) out-of-distribution detection (5) representation learning (5) zero-sum game (5) team-maxmin equilibrium (4) label noise (4) deep learning (4) stackelberg game (4) semi-supervised learning (3) policy learning (3) resource allocation (3) semantic parsing (3)

Papers

ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading AAAI 2026
GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization AAAI 2026
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025
Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025
OpticalNet: An Optical Imaging Dataset and Benchmark Beyond the Diffraction Limit CVPR 2025
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning ICML 2025
Representation Surgery in Model Merging with Probabilistic Modeling ICML 2025
Cradle: Empowering Foundation Agents towards General Computer Control ICML 2025
A Closer Look at Backdoor Attacks on CLIP ICML 2025
Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning ICML 2025
Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy ICLR 2025
AgentStudio: A Toolkit for Building General Virtual Agents ICLR 2025
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025
PoRank: A Practical Framework for Learning to Rank Policies IJCAI 2024
Reinforcement Nash Equilibrium Solver IJCAI 2024
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NIPS 2024
Self-adaptive PSRO: Towards an Automatic Population-based Game Solver IJCAI 2024
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context AAAI 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning ICLR 2024
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control ICLR 2024
IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024
DAG-Based Column Generation for Adversarial Team Games ICML 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs ICML 2024
Configurable Mirror Descent: Towards a Unification of Decision Making ICML 2024
Safe and Robust Subgame Exploitation in Imperfect Information Games ICML 2024
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree ICML 2024
Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024
Consistent Hierarchical Classification with A Generalized Metric AISTATS 2024
Consistent Multi-Class Classification from Multiple Unlabeled Datasets ICLR 2024
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks ICLR 2024
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic ICLR 2024
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution ICLR 2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024
Reinforcement Learning from Diverse Human Preferences IJCAI 2024
Partial-Label Regression AAAI 2023
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory NIPS 2023
Computing Optimal Nash Equilibria in Multiplayer Games NIPS 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error NIPS 2023
State Regularized Policy Optimization on Data with Dynamics Shift NIPS 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer NIPS 2023
Regression with Cost-based Rejection NIPS 2023
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning NIPS 2023
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs NIPS 2023
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023
Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies AAAI 2023
Consistent Complementary-Label Learning via Order-Preserving Losses AISTATS 2023
Population-size-Aware Policy Optimization for Mean-Field Games ICLR 2023
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning ICLR 2023
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor ICLR 2023
Weakly Supervised Regression with Interval Targets ICML 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification ICML 2023
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation IJCAI 2023
Complex Contagion Influence Maximization: A Reinforcement Learning Approach IJCAI 2023
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NIPS 2022
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games IJCAI 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation AAAI 2022
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search AAAI 2022
Online Ad Hoc Teamwork under Partial Observability ICLR 2022
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks CVPR 2022
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning ICML 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets ICML 2022
Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE NIPS 2022
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses NIPS 2022
Pretrained Cost Model for Distributed Constraint Optimization Problems AAAI 2022
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems NIPS 2022
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction AAAI 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise NIPS 2021
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2021
Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play IJCAI 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space IJCAI 2021
Neural Regret-Matching for Distributed Constraint Optimization Problems IJCAI 2021
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games AAAI 2021
Computing Quantal Stackelberg Equilibrium in Extensive-Form Games AAAI 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents NIPS 2021
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management AAAI 2021
Contingency-aware influence maximization: A reinforcement learning approach UAI 2021
Learning from Similarity-Confidence Data ICML 2021
Pointwise Binary Classification with Pairwise Confidence Comparisons ICML 2021
Enhancing Neural Models with Vulnerability via Adversarial Attack COLING 2020
Learning with Multiple Complementary Labels ICML 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games ICML 2020
Learning Behaviors with Uncertain Human Feedback UAI 2020
Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2020
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities IJCAI 2020
Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium IJCAI 2020
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020
IΒ²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020
Provably Consistent Partial-Label Learning NIPS 2020
Learning Expensive Coordination: An Event-Based Deep RL Approach ICLR 2020
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization CVPR 2020
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information AAAI 2019
EUSP: An Easy-to-Use Semantic Parsing PlatForm IJCNLP 2019
A Memetic Approach for Sequential Security Games on a Plane with Moving Targets AAAI 2019
Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity IJCAI 2019
EUSP: An Easy-to-Use Semantic Parsing PlatForm EMNLP 2019
Manipulating a Learning Defender and Ways to Counteract NIPS 2019
Collaboration Based Multi-Label Learning AAAI 2019
Partial Label Learning with Self-Guided Retraining AAAI 2019
On the Inducibility of Stackelberg Equilibrium for Security Games AAAI 2019
Partial Label Learning by Semantic Difference Maximization IJCAI 2019
Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks IJCAI 2019
Leveraging Latent Label Distributions for Partial Label Learning IJCAI 2018
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty IJCAI 2018
Stackelberg Security Games: Looking Beyond a Decade of Success IJCAI 2018
Model-Free Context-Aware Word Composition COLING 2018
Accurate Text-Enhanced Knowledge Graph Representation Learning NAACL 2018
Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing COLING 2018
Defending Against Man-In-The-Middle Attack in Repeated Games IJCAI 2017
Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017
Game Theoretic Analysis of Security and Sustainability IJCAI 2017
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback IJCAI 2017
Comparing Strategic Secrecy and Stackelberg Commitment in Security Games IJCAI 2017
Optimal Escape Interdiction on Transportation Networks IJCAI 2017
ISCAS_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features SEMEVAL 2016
Sentence Rewriting for Semantic Parsing ACL 2016
Efficient Resource Allocation for Protecting Coral Reef Ecosystems IJCAI 2016
Optimally Protecting Elections IJCAI 2016
Optimal Interdiction of Illegal Network Flow IJCAI 2016
Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs IJCAI 2015
Optimal Electric Vehicle Charging Station Placement IJCAI 2015
A Reputation Management Approach for Resource Constrained Trustee Agents IJCAI 2013
Optimal Pricing for Improving Efficiency of Taxi Systems IJCAI 2013