PPaperPicks

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

DBLP profile ↗ORCID 0000-0003-0786-0671 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Xi Lin
×20
Fei Liu
×15
Zhenkun Wang
×13
Bo Xue
×9
Zhe Zhao
×9
Ji Cheng
×8
Xiaoyuan Zhang
×7
Haibin Wen
×6
Pengkun Wang
×6
Yang Wang
×6
Zhichao Lu
×5
Ping Guo
×5

Papers

  1. Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
    AAAI 2026 ·
    Bo Xue
    ,
    Yuanyu Wan
    ,
    Zhichao Lu
    , Qingfu Zhang
  2. CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models
    AAAI 2026 ·
    Ping Guo
    , Qingfu Zhang,
    Xi Lin
  3. EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
    AAAI 2026 ·
    Fei Liu
    ,
    Yilu Liu
    , Qingfu Zhang,
    Xialiang Tong
    ,
    Mingxuan Yuan
  4. Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
    AAAI 2026 ·
    Ji Cheng
    ,
    Bo Xue
    , Qingfu Zhang
  5. Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
    ICML 2025 ·
    Zhe Zhao
    ,
    Haibin Wen
    ,
    Pengkun Wang
    ,
    Shuang Wang
    ,
    Zhenkun Wang
    , Qingfu Zhang,
    Yang Wang
  6. Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
    ICLR 2025 ·
    Fu Luo
    ,
    Xi Lin
    ,
    Yaoxin Wu
    ,
    Zhenkun Wang
    ,
    Xialiang Tong
    ,
    Mingxuan Yuan
    , Qingfu Zhang
  7. Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
    NeurIPS 2025 ·
    Zhe Zhao
    ,
    Haibin Wen
    ,
    Xianfu Liu
    ,
    Rui Mao
    ,
    Pengkun Wang
    ,
    Liheng Yu
    ,
    Linjiang Chen
    ,
    Bo An
    , Qingfu Zhang,
    Yang Wang
  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
    , Qingfu Zhang
  9. Destroy and Repair Using Hyper-Graphs for Routing
    AAAI 2025 ·
    Ke Li
    ,
    Fei Liu
    ,
    Zhenkun Wang
    , Qingfu Zhang
  10. Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
    AAAI 2025 ·
    Jingda Deng
    ,
    Jianyong Sun
    , Qingfu Zhang,
    Hui Li
  11. Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
    ICLR 2025 ·
    Xi Lin
    ,
    Yilu Liu
    ,
    Xiaoyuan Zhang
    ,
    Fei Liu
    ,
    Zhenkun Wang
    , Qingfu Zhang
  12. Gradient-Guided Epsilon Constraint Method for Online Continual Learning
    NeurIPS 2025 ·
    Song Lai
    ,
    Changyi Ma
    ,
    Fei Zhu
    ,
    Zhe Zhao
    ,
    Xi Lin
    ,
    Gaofeng Meng
    , Qingfu Zhang
  13. LLM-enhanced Score Function Evolution for Causal Structure Learning
    IJCAI 2025 ·
    Zidong Wang
    ,
    Fei Liu
    ,
    Qi Feng
    , Qingfu Zhang,
    Xiaoguang Gao
  14. Learning to Insert for Constructive Neural Vehicle Routing Solver
    NeurIPS 2025 ·
    Fu Luo
    ,
    Xi Lin
    ,
    Mengyuan Zhong
    ,
    Fei Liu
    ,
    Zhenkun Wang
    ,
    Jianyong Sun
    , Qingfu Zhang
  15. MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
    CVPR 2025 ·
    Ping Guo
    ,
    Cheng Gong
    ,
    Xi Lin
    ,
    Fei Liu
    ,
    Zhichao Lu
    , Qingfu Zhang,
    Zhenkun Wang
  16. Multi-Objective Evolution of Heuristic Using Large Language Model
    AAAI 2025 ·
    Shunyu Yao
    ,
    Fei Liu
    ,
    Xi Lin
    ,
    Zhichao Lu
    ,
    Zhenkun Wang
    , Qingfu Zhang
  17. Multi-Objective Neural Bandits with Random Scalarization
    IJCAI 2025 ·
    Ji Cheng
    ,
    Bo Xue
    ,
    Chengyu Lu
    ,
    Ziqiang Cui
    , Qingfu Zhang
  18. Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
    ICML 2025 ·
    Bo Xue
    ,
    Dake Bu
    ,
    Ji Cheng
    ,
    Yuanyu Wan
    , Qingfu Zhang
  19. Multiobjective distribution matching
    ICML 2025 ·
    Xiaoyuan Zhang
    ,
    Peijie Li
    ,
    Yingying Yu
    ,
    Yichi Zhang
    ,
    Han Zhao
    , Qingfu Zhang
  20. Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
    AAAI 2025 ·
    Bo Xue
    ,
    Xi Lin
    ,
    Xiaoyuan Zhang
    , Qingfu Zhang
  21. Neural Evolution Strategy for Black-box Pareto Set Learning
    NeurIPS 2025 ·
    Chengyu Lu
    ,
    Zhenhua Li
    ,
    Xi Lin
    ,
    Ji Cheng
    , Qingfu Zhang
  22. Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off
    AAAI 2025 ·
    Song Lai
    ,
    Zhe Zhao
    ,
    Fei Zhu
    ,
    Xi Lin
    , Qingfu Zhang,
    Gaofeng Meng
  23. Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
    NeurIPS 2025 ·
    Qinglong Hu
    , Qingfu Zhang
  24. Performance Comparison between Evolutionary Algorithms and Linear Programming-based Relaxation Methods for Multi-Objective Knapsack Problems
    GECCO 2025 ·
    Cheng Gong
    ,
    Ping Guo
    ,
    Lie Meng Pang
    , Qingfu Zhang,
    Hisao Ishibuchi
  25. Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
    IJCAI 2025 ·
    Bo Xue
    ,
    Xi Lin
    ,
    Yuanyu Wan
    , Qingfu Zhang
  26. Provable In-Context Vector Arithmetic via Retrieving Task Concepts
    ICML 2025 ·
    Dake Bu
    ,
    Wei Huang
    ,
    Andi Han
    ,
    Atsushi Nitanda
    , Qingfu Zhang,
    Hau-San Wong
    ,
    Taiji Suzuki
  27. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
    ,
    Chuanbo Hua
    ,
    Junyoung Park
    ,
    Laurin Luttmann
    ,
    Yining Ma
    ,
    Fanchen Bu
    ,
    Jiarui Wang
    ,
    Haoran Ye
    ,
    Minsu Kim
    ,
    Sanghyeok Choi
    ,
    Nayeli Gast Zepeda
    ,
    André Hottung
    ,
    Jianan Zhou
    ,
    Jieyi Bi
    ,
    Yu Hu
    ,
    Fei Liu
    ,
    Hyeonah Kim
    ,
    Jiwoo Son
    ,
    Haeyeon Kim
    ,
    Davide Angioni
    ,
    Wouter Kool
    ,
    Zhiguang Cao
    , Qingfu Zhang,
    Joungho Kim
    ,
    Jie Zhang
    ,
    Kijung Shin
    ,
    Cathy Wu
    ,
    Sungsoo Ahn
    ,
    Guojie Song
    ,
    Changhyun Kwon
    ,
    Kevin Tierney
    ,
    Lin Xie
    ,
    Jinkyoo Park
  28. SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning
    NeurIPS 2025 ·
    Yiting Wang
    ,
    Wanghao Ye
    ,
    Ping Guo
    ,
    Yexiao He
    ,
    Ziyao Wang
    ,
    Bowei Tian
    ,
    Shwai He
    ,
    Guoheng Sun
    ,
    Zheyu Shen
    ,
    Sihan Chen
    ,
    Ankur Srivastava
    , Qingfu Zhang,
    Gang Qu
    ,
    Ang Li
  29. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition
    NeurIPS 2025 ·
    Zhe Zhao
    ,
    Zhiheng Gong
    ,
    Pengkun Wang
    ,
    Haibin Wen
    ,
    Cankun Guo
    ,
    Bo Xue
    ,
    Xi Lin
    ,
    Zhenkun Wang
    , Qingfu Zhang,
    Yang Wang
  30. Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts
    NeurIPS 2024 ·
    Zhe Zhao
    ,
    Haibin Wen
    ,
    Zikang Wang
    ,
    Pengkun Wang
    ,
    Fanfu Wang
    ,
    Song Lai
    , Qingfu Zhang,
    Yang Wang
  31. EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network
    MICCAI 2024 ·
    Song Lai
    ,
    Mingyang Zhao
    ,
    Zhe Zhao
    ,
    Shi Chang
    ,
    Xiaohua Yuan
    ,
    Hongbin Liu
    , Qingfu Zhang,
    Gaofeng Meng
  32. Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
    ICML 2024 ·
    Fei Liu
    ,
    Xialiang Tong
    ,
    Mingxuan Yuan
    ,
    Xi Lin
    ,
    Fu Luo
    ,
    Zhenkun Wang
    ,
    Zhichao Lu
    , Qingfu Zhang
  33. Evolve Cost-Aware Acquisition Functions Using Large Language Models
    PPSN 2024 ·
    Yiming Yao
    ,
    Fei Liu
    ,
    Ji Cheng
    , Qingfu Zhang
  34. Gliding over the Pareto Front with Uniform Designs
    NeurIPS 2024 ·
    Xiaoyuan Zhang
    ,
    Genghui Li
    ,
    Xi Lin
    ,
    Yichi Zhang
    ,
    Yifan Chen
    , Qingfu Zhang
  35. Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
    AAAI 2024 ·
    Ji Cheng
    ,
    Bo Xue
    ,
    Jiaxiang Yi
    , Qingfu Zhang
  36. LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
    NeurIPS 2024 ·
    Pengkun Wang
    ,
    Zhe Zhao
    ,
    Haibin Wen
    ,
    Fanfu Wang
    ,
    Binwu Wang
    , Qingfu Zhang,
    Yang Wang
  37. LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection
    PPSN 2024 ·
    Cheng Gong
    ,
    Ping Guo
    ,
    Tianye Shu
    , Qingfu Zhang,
    Hisao Ishibuchi
  38. Learning Multi-Task Sparse Representation Based on Fisher Information
    AAAI 2024 ·
    Yayu Zhang
    ,
    Yuhua Qian
    ,
    Guoshuai Ma
    ,
    Keyin Zheng
    ,
    Guoqing Liu
    , Qingfu Zhang
  39. LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch
    NeurIPS 2024 ·
    Xiaoyuan Zhang
    ,
    Liang Zhao
    ,
    Yingying Yu
    ,
    Xi Lin
    ,
    Yifan Chen
    ,
    Han Zhao
    , Qingfu Zhang
  40. Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives
    PPSN 2024 ·
    Yilu Liu
    ,
    Chengyu Lu
    ,
    Xi Lin
    , Qingfu Zhang
  41. Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
    SIGKDD 2024 ·
    Fei Liu
    ,
    Xi Lin
    ,
    Zhenkun Wang
    , Qingfu Zhang,
    Xialiang Tong
    ,
    Mingxuan Yuan
  42. Multiobjective Lipschitz Bandits under Lexicographic Ordering
    AAAI 2024 ·
    Bo Xue
    ,
    Ji Cheng
    ,
    Fei Liu
    ,
    Yimu Wang
    , Qingfu Zhang
  43. Panacea: Pareto Alignment via Preference Adaptation for LLMs
    NeurIPS 2024 ·
    Yifan Zhong
    ,
    Chengdong Ma
    ,
    Xiaoyuan Zhang
    ,
    Ziran Yang
    ,
    Haojun Chen
    , Qingfu Zhang,
    Siyuan Qi
    ,
    Yaodong Yang
  44. Prompt Learning for Generalized Vehicle Routing
    IJCAI 2024 ·
    Fei Liu
    ,
    Xi Lin
    ,
    Weiduo Liao
    ,
    Zhenkun Wang
    , Qingfu Zhang,
    Xialiang Tong
    ,
    Mingxuan Yuan
  45. Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
    ICML 2024 ·
    Dake Bu
    ,
    Wei Huang
    ,
    Taiji Suzuki
    ,
    Ji Cheng
    , Qingfu Zhang,
    Zhiqiang Xu
    ,
    Hau-San Wong
  46. Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
    NeurIPS 2024 ·
    Dake Bu
    ,
    Wei Huang
    ,
    Andi Han
    ,
    Atsushi Nitanda
    ,
    Taiji Suzuki
    , Qingfu Zhang,
    Hau-San Wong
  47. Smooth Tchebycheff Scalarization for Multi-Objective Optimization
    ICML 2024 ·
    Xi Lin
    ,
    Xiaoyuan Zhang
    ,
    Zhiyuan Yang
    ,
    Fei Liu
    ,
    Zhenkun Wang
    , Qingfu Zhang
  48. Three Objectives Degrade the Convergence Ability of Dominance-Based Multi-objective Evolutionary Algorithms
    PPSN 2024 ·
    Cheng Gong
    ,
    Lie Meng Pang
    , Qingfu Zhang,
    Hisao Ishibuchi
  49. Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
    ICML 2024 ·
    Zhe Zhao
    ,
    Pengkun Wang
    ,
    Haibin Wen
    ,
    Wei Xu
    ,
    Song Lai
    , Qingfu Zhang,
    Yang Wang
  50. Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
    PPSN 2024 ·
    Rui Zhang
    ,
    Fei Liu
    ,
    Xi Lin
    ,
    Zhenkun Wang
    ,
    Zhichao Lu
    , Qingfu Zhang