Zhang, Qingfu

45 publications

ICML 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-Tailed Data Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang

ICLR 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Qingfu Zhang

NeurIPS 2025 Deciphering the Extremes: A Novel Approach for Pathological Long-Tailed Recognition in Scientific Discovery Zhe Zhao, HaiBin Wen, Xianfu Liu, Rui Mao, Pengkun Wang, Liheng Yu, Linjiang Chen, Bo An, Qingfu Zhang, Yang Wang

AAAI 2025 Destroy and Repair Using Hyper-Graphs for Routing Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang

AAAI 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li

ICLR 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang

NeurIPS 2025 Gradient-Guided Epsilon Constraint Method for Online Continual Learning Song Lai, Changyi Ma, Fei Zhu, Zhe Zhao, Xi Lin, Gaofeng Meng, Qingfu Zhang

IJCAI 2025 LLM-Enhanced Score Function Evolution for Causal Structure Learning Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao

NeurIPS 2025 Learning to Insert for Constructive Neural Vehicle Routing Solver Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang

JMLR 2025 Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Lijun Zhang, Qingfu Zhang

CVPR 2025 MOS-Attack: A Scalable Multi-Objective Adversarial Attack Framework Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang

AAAI 2025 Multi-Objective Evolution of Heuristic Using Large Language Model Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

ICML 2025 Multi-Objective Linear Reinforcement Learning with Lexicographic Rewards Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang

IJCAI 2025 Multi-Objective Neural Bandits with Random Scalarization Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang

ICML 2025 Multiobjective Distribution Matching Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao, Qingfu Zhang

AAAI 2025 Multiple Trade-Offs: An Improved Approach for Lexicographic Linear Bandits Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang

NeurIPS 2025 Neural Evolution Strategy for Black-Box Pareto Set Learning Chengyu Lu, Zhenhua Li, Xi Lin, Ji Cheng, Qingfu Zhang

AAAI 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-Off Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng

NeurIPS 2025 Partition to Evolve: Niching-Enhanced Evolution with LLMs for Automated Algorithm Discovery Qinglong Hu, Qingfu Zhang

IJCAI 2025 Problem-Dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang

ICML 2025 Provable In-Context Vector Arithmetic via Retrieving Task Concepts Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Qingfu Zhang, Hau-San Wong, Taiji Suzuki

NeurIPS 2025 SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning 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

NeurIPS 2025 TS-MOF: Two-Stage Multi-Objective Fine-Tuning for Long-Tailed Recognition Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang

NeurIPS 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang

ICML 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model Fei Liu, Tong Xialiang, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang

NeurIPS 2024 Gliding over the Pareto Front with Uniform Designs Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang

AAAI 2024 Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang

NeurIPS 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-Tailed Problems Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang

AAAI 2024 Learning Multi-Task Sparse Representation Based on Fisher Information Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang

NeurIPS 2024 LibMOON: A Gradient-Based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

AAAI 2024 Multiobjective Lipschitz Bandits Under Lexicographic Ordering Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang

NeurIPS 2024 Panacea: Pareto Alignment via Preference Adaptation for LLMs Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang

IJCAI 2024 Prompt Learning for Generalized Vehicle Routing Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

ICML 2024 Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong

NeurIPS 2024 Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong

ICML 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang

ICML 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-Tailed Learning Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Lai Song, Qingfu Zhang, Yang Wang

ICML 2023 Continuation Path Learning for Homotopy Optimization Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang

NeurIPS 2023 Does Continual Learning Meet Compositionality? New Benchmarks and an Evaluation Framework Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi

NeurIPS 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang

NeurIPS 2023 Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang

NeurIPS 2022 Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang

ICLR 2022 Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization Xi Lin, Zhiyuan Yang, Qingfu Zhang

AAAI 2021 Clustering Ensemble Meets Low-Rank Tensor Approximation Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang

ICCV 2021 Semantic-Embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang