Qingfu Zhang

Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning CVPR 2026 Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits AAAI 2026 CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models AAAI 2026 EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design AAAI 2026 Few-for-Many Personalized Federated Learning CVPR 2026 Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data ICML 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems ICLR 2025 Destroy and Repair Using Hyper-Graphs for Routing AAAI 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization ICLR 2025 Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound JMLR 2025 LLM-enhanced Score Function Evolution for Causal Structure Learning IJCAI 2025 MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework CVPR 2025 Multiobjective distribution matching ICML 2025 Multi-Objective Evolution of Heuristic Using Large Language Model AAAI 2025 Multi-objective Linear Reinforcement Learning with Lexicographic Rewards ICML 2025 Multi-Objective Neural Bandits with Random Scalarization IJCAI 2025 Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts ICML 2025 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NeurIPS 2024 EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-Expert Network MICCAI 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 Gliding over the Pareto Front with Uniform Designs NeurIPS 2024 Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits AAAI 2024 Learning Multi-Task Sparse Representation Based on Fisher Information AAAI 2024 LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NeurIPS 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs NeurIPS 2024 Prompt Learning for Generalized Vehicle Routing IJCAI 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples ICML 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NeurIPS 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization ICML 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 Continuation Path Learning for Homotopy Optimization ICML 2023 Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NeurIPS 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning NeurIPS 2023 Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization NeurIPS 2023 Pareto Set Learning for Expensive Multi-Objective Optimization NeurIPS 2022 Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization ICLR 2022 Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021 Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild ICCV 2021 Pareto Multi-Task Learning NeurIPS 2019