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Qingfu Zhang

City University of Hong Kong, Department of Computer Science, Hong Kong

50 papers at tracked venues · 38 at CORE A* · active 2024–2026

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Venues

NeurIPS ×13AAAI ×12ICML ×8PPSN ×5IJCAI ×4GECCO ×2ICLR ×2SIGKDD ×2CVPR ×1MICCAI ×1

Frequent coauthors

Bo Xue
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Zhe Zhao
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Fei Liu
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Ji Cheng
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Song Lai
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Xiaoyuan Zhang
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Cheng Gong
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Dake Bu
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Ping Guo
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Fu Luo
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Ke Li
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Xi Lin
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Papers

  1. Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
    AAAI 2026 ·
    Bo Xue
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  2. CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
    AAAI 2026 ·
    Ping Guo
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  3. EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
    AAAI 2026 ·
    Fei Liu
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  4. Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
    AAAI 2026 ·
    Ji Cheng
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  5. Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
    ICML 2025 ·
    Zhe Zhao
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  6. Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
    ICLR 2025 ·
    Fu Luo
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  7. Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
    NeurIPS 2025 ·
    Zhe Zhao
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  8. Decomposition Multi-Objective Optimization: What We Know from the Literature, and What We are not Clear from a Data Science Perspective
    GECCO 2025 ·
    Ke Li
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  9. Destroy and Repair Using Hyper-Graphs for Routing
    AAAI 2025 ·
    Ke Li
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  10. Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
    AAAI 2025 ·
    Jingda Deng
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  11. Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
    ICLR 2025 ·
    Xi Lin
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  12. Gradient-Guided Epsilon Constraint Method for Online Continual Learning
    NeurIPS 2025 ·
    Song Lai
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  13. LLM-enhanced Score Function Evolution for Causal Structure Learning
    IJCAI 2025 ·
    Zidong Wang
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  14. Learning to Insert for Constructive Neural Vehicle Routing Solver
    NeurIPS 2025 ·
    Fu Luo
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  15. MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
    CVPR 2025 ·
    Ping Guo
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  16. Multi-Objective Evolution of Heuristic Using Large Language Model
    AAAI 2025 ·
    Shunyu Yao
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  17. Multi-Objective Neural Bandits with Random Scalarization
    IJCAI 2025 ·
    Ji Cheng
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  18. Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
    ICML 2025 ·
    Bo Xue
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  19. Multiobjective distribution matching
    ICML 2025 ·
    Xiaoyuan Zhang
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  20. Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
    AAAI 2025 ·
    Bo Xue
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  21. Neural Evolution Strategy for Black-box Pareto Set Learning
    NeurIPS 2025 ·
    Chengyu Lu
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  22. Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
    AAAI 2025 ·
    Song Lai
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  23. Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
    NeurIPS 2025 ·
    Qinglong Hu
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  24. Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems
    GECCO 2025 ·
    Cheng Gong
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  25. Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
    IJCAI 2025 ·
    Bo Xue
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  26. Provable In-Context Vector Arithmetic via Retrieving Task Concepts
    ICML 2025 ·
    Dake Bu
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  27. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
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  28. SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
    NeurIPS 2025 ·
    Yiting Wang
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  29. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
    NeurIPS 2025 ·
    Zhe Zhao
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  30. Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
    NeurIPS 2024 ·
    Zhe Zhao
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  31. EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network
    MICCAI 2024 ·
    Song Lai
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  32. Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
    ICML 2024 ·
    Fei Liu
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  33. Evolve Cost-Aware Acquisition Functions Using Large Language Models
    PPSN 2024 ·
    Yiming Yao
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  34. Gliding over the Pareto Front with Uniform Designs
    NeurIPS 2024 ·
    Xiaoyuan Zhang
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  35. Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
    AAAI 2024 ·
    Ji Cheng
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  36. LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
    NeurIPS 2024 ·
    Pengkun Wang
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  37. LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection
    PPSN 2024 ·
    Cheng Gong
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  38. Learning Multi-Task Sparse Representation Based on Fisher Information
    AAAI 2024 ·
    Yayu Zhang
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  39. LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
    NeurIPS 2024 ·
    Xiaoyuan Zhang
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  40. Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives
    PPSN 2024 ·
    Yilu Liu
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  41. Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
    SIGKDD 2024 ·
    Fei Liu
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  42. Multiobjective Lipschitz Bandits under Lexicographic Ordering
    AAAI 2024 ·
    Bo Xue
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  43. Panacea: Pareto Alignment via Preference Adaptation for LLMs
    NeurIPS 2024 ·
    Yifan Zhong
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  44. Prompt Learning for Generalized Vehicle Routing
    IJCAI 2024 ·
    Fei Liu
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  45. Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
    ICML 2024 ·
    Dake Bu
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  46. Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
    NeurIPS 2024 ·
    Dake Bu
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  47. Smooth Tchebycheff Scalarization for Multi-Objective Optimization
    ICML 2024 ·
    Xi Lin
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  48. Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms
    PPSN 2024 ·
    Cheng Gong
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  49. Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
    ICML 2024 ·
    Zhe Zhao
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  50. Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
    PPSN 2024 ·
    Rui Zhang
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