Qingfu Zhang
44 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(14)
π€
Dynamic Duo
(18)
π±
Topic Pioneer
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Grand Slam
π¬
Deep Specialist
(17)
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Keyword Champion
(3)
β‘
Prolific Year
(15)
π₯
Unstoppable
(5)
β
The Questioner
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Century Club
(40)
ποΈ
Keyword Collector
(150)
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Conference Pioneer
Conferences
AAAI (13)
NIPS (11)
ICML (9)
IJCAI (4)
ICLR (3)
CVPR (1)
ICCV (1)
JMLR (1)
MICCAI (1)
Top co-authors
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