Qiang Fu

Accelerated Convex Optimization via Hamiltonian Dynamics with Deterministic Integration Time COLT 2026 Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making AAAI 2026 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025 Latent Space Imaging CVPR 2025 Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues CVPR 2025 Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning AISTATS 2025 MCU: An Evaluation Framework for Open-Ended Game Agents ICML 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation UAI 2025 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain ICLR 2024 Longformer: Longitudinal Transformer for Alzheimer's Disease Classification With Structural MRIs WACV 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024 Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization ICML 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Opponent Modeling with In-context Search NeurIPS 2024 Text-to-Image Generation for Abstract Concepts AAAI 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 Accelerated Stochastic Optimization Methods under Quasar-convexity ICML 2023 A Robust and Opponent-Aware League Training Method for StarCraft II NeurIPS 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots ICLR 2023 Does Deep Learning Learn to Abstract? A Systematic Probing Framework ICLR 2023 Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023 Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NeurIPS 2023 How Do In-Context Examples Affect Compositional Generalization? ACL 2023 Making Language Models Better Reasoners with Step-Aware Verifier ACL 2023 Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting IJCAI 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 Policy Space Diversity for Non-Transitive Games NeurIPS 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training CoRL 2023 Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 Skill-Based Few-Shot Selection for In-Context Learning EMNLP 2023 Small Footprint Multi-channel Network for Keyword Spotting with Centroid Based Awareness Interspeech 2023 Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective ICLR 2023 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 BabelTower: Learning to Auto-parallelized Program Translation ICML 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NeurIPS 2022 JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning IJCAI 2022 Neuron with Steady Response Leads to Better Generalization NeurIPS 2022 Personalized Acoustic Echo Cancellation for Full-duplex Communications Interspeech 2022 Reasoning Like Program Executors EMNLP 2022 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu IJCAI 2021 Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation Interspeech 2021 Learning Diverse Policies in MOBA Games via Macro-Goals NeurIPS 2021 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021 Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging CVPR 2021 Multispectral Illumination Estimation Using Deep Unrolling Network ICCV 2021 A Semi-Blind Source Separation Approach for Speech Dereverberation Interspeech 2020 Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging CVPR 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020 Complementary Binary Quantization for Joint Multiple Indexing IJCAI 2018 Catadioptric HyperSpectral Light Field Imaging ICCV 2017 Adaptive Group Sparsity for Non-Negative Matrix Factorization with Application to Unsupervised Source Separation Interspeech 2016 A DNN-HMM Approach to Non-Negative Matrix Factorization Based Speech Enhancement Interspeech 2016 A Robust Dual-Microphone Speech Source Localization Algorithm for Reverberant Environments Interspeech 2016