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Qiang Fu

68 papers · 2016–2026 · 14 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (3) πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (26) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (20) πŸ”₯ Unstoppable (6) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (66) πŸ—ƒοΈ Keyword Collector (230) πŸš€ Conference Pioneer

Conferences

ICLR (12) NIPS (10) ICML (9) AAAI (8) IJCAI (8) INTERSPEECH (7) CVPR (4) ACL (2) EMNLP (2) ICCV (2) AISTATS (1) CORL (1) UAI (1) WACV (1)

Top co-authors

Haobo Fu (27) Kai Li (15) Junliang Xing (15) Wei Yang (12) Jian Cheng (11) Deheng Ye (10) Lanxiao Huang (7) Yang Wei (7) Liang Wang (6) Yifan Zang (6)

Research topics

Reinforcement Learning (1)

Keywords

game ai (6) opponent modeling (5) multi-agent system (5) policy learning (5) large language model (4) in-context learning (4) multi-agent reinforcement learning (4) generative model (3) offline reinforcement learning (3) few-shot learning (3) multi-agent learning (3) imperfect information game (3) deep reinforcement learning (3) counterfactual regret minimization (3) game artificial intelligence (3) convolutional neural network (3) imperfect-information game (3) monte carlo tree search (2) game theory (2) nash equilibrium (2)

Papers

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