← Authors

Qingfu Zhang

44 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🀝 Dynamic Duo (18) 🌱 Topic Pioneer πŸ† Grand Slam πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion (3) ⚑ Prolific Year (15) πŸ”₯ Unstoppable (5) ❓ The Questioner πŸ’Ž Century Club (40) πŸ—ƒοΈ Keyword Collector (150) πŸš€ Conference Pioneer

Conferences

AAAI (13) NIPS (11) ICML (9) IJCAI (4) ICLR (3) CVPR (1) ICCV (1) JMLR (1) MICCAI (1)

Top co-authors

Xi Lin (19) Fei Liu (12) Zhenkun Wang (10) Xiaoyuan Zhang (10) Bo Xue (10) Ji Cheng (7) Zhe Zhao (6) Yang Wang (4) Haibin Wen (4) Zhichao Lu (4)

Keywords

multi-objective optimization (14) large language model (7) multi-armed bandit (5) evolutionary algorithm (4) regret bound (4) pareto optimality (4) neural combinatorial optimization (3) multi-task learning (3) multiobjective optimization (3) pareto optimization (3) pareto optimal (3) multi-objective bayesian optimization (3) pareto set learning (3) online learning (2) model-based optimization (2) low-rank adaptation (2) pareto front (2) upper confidence bound (2) traveling salesman problem (2) bayesian optimization (2)

Papers

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