Zhu, Qi

50 publications

IJCAI 2025 AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling Zirui Zhang, Donghai Guan, Çetin Kaya Koç, Jie Wen, Qi Zhu

ICLR 2025 Can We Trust Embodied Agents? Exploring Backdoor Attacks Against Embodied LLM-Based Decision-Making Systems Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu

NeurIPS 2025 CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li

ICCV 2025 CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games Peng Chen, Pi Bu, Yingyao Wang, Xinyi Wang, Ziming Wang, Jie Guo, Yingxiu Zhao, Qi Zhu, Jun Song, Siran Yang, Jiamang Wang, Bo Zheng

NeurIPS 2025 Correlated Low-Rank Adaptation for ConvNets Wu Ran, Weijia Zhang, ShuYang Pang, Qi Zhu, Jinfan Liu, JingSheng Liu, Xin Cao, Qiang Li, Yichao Yan, Chao Ma

CVPR 2025 DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction Junjie Zhou, Shouju Wang, Yuxia Tang, Qi Zhu, Daoqiang Zhang, Wei Shao

ICML 2025 Directly Forecasting Belief for Reinforcement Learning with Delays Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

ICML 2025 FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining Dong Li, Yidi Liu, Xueyang Fu, Jie Huang, Senyan Xu, Qi Zhu, Zheng-Jun Zha

NeurIPS 2025 MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series Payal Mohapatra, Yueyuan Sui, Akash Pandey, Stephen Xia, Qi Zhu

NeurIPS 2025 MAPLE: Multi-Scale Attribute-Enhanced Prompt Learning for Few-Shot Whole Slide Image Classification Junjie Zhou, Wei Shao, Yagao Yue, Wei Mu, Peng Wan, Qi Zhu, Daoqiang Zhang

NeurIPS 2025 NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis Shengrong Li, Qi Zhu, Chunwei Tian, Xinyang Zhang, Wei Shao, Jie Wen, Daoqiang Zhang

ICLR 2025 On Large Language Model Continual Unlearning Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu

TMLR 2025 Phase-Driven Generalizable Representation Learning for Nonstationary Time Series Classification Payal Mohapatra, Lixu Wang, Qi Zhu

CVPR 2025 SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling Qi Zhu, Jiangwei Lao, Deyi Ji, Junwei Luo, Kang Wu, Yingying Zhang, Lixiang Ru, Jian Wang, Jingdong Chen, Ming Yang, Dong Liu, Feng Zhao

ICLR 2025 Spectro-Riemannian Graph Neural Networks Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos

CVPR 2025 Split Adaptation for Pre-Trained Vision Transformers Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu

ICCV 2025 When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning Junwei Luo, Yingying Zhang, Xue Yang, Kang Wu, Qi Zhu, Lei Liang, Jingdong Chen, Yansheng Li

ICCV 2025 Where Am I? Cross-View Geo-Localization with Natural Language Descriptions Junyan Ye, Honglin Lin, Leyan Ou, Dairong Chen, Zihao Wang, Qi Zhu, Conghui He, Weijia Li

ICML 2024 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jürgen Schmidhuber, Chao Huang

ICLRW 2024 Empowering Autonomous Driving with Large Language Models: A Safety Perspective Yixuan Wang, Ruochen Jiao, Simon Sinong Zhan, Chengtian Lang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu

CVPR 2024 Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance Wei Yu, Jie Huang, Bing Li, Kaiwen Zheng, Qi Zhu, Man Zhou, Feng Zhao

AAAI 2024 Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen

ICLR 2024 Parallelizing Non-Linear Sequential Models over the Sequence Length Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah Kasim

AAAI 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li

NeurIPS 2024 Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval Lixu Wang, Xinyu Du, Qi Zhu

L4DC 2024 State-Wise Safe Reinforcement Learning with Pixel Observations Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu

CVPRW 2024 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

NeurIPS 2024 Variational Delayed Policy Optimization Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang

ICLR 2023 Deja Vu: Continual Model Generalization for Unseen Domains Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu

IJCAI 2023 Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) Zhilu Wang, Chao Huang, Qi Zhu

ICML 2023 Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu

ICCV 2023 Exploring Temporal Frequency Spectrum in Deep Video Deblurring Qi Zhu, Man Zhou, Naishan Zheng, Chongyi Li, Jie Huang, Feng Zhao

NeurIPS 2023 FouriDown: Factoring Down-Sampling into Shuffling and Superposing Qi Zhu, Man Zhou, Jie Huang, Naishan Zheng, Hongzhi Gao, Chongyi Li, Yuan Xu, Feng Zhao

AAAI 2023 KPT: Keyword-Guided Pre-Training for Grounded Dialog Generation Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang

CVPR 2023 Leapfrog Diffusion Model for Stochastic Trajectory Prediction Weibo Mao, Chenxin Xu, Qi Zhu, Siheng Chen, Yanfeng Wang

AAAI 2023 Learning Semantic Degradation-Aware Guidance for Recognition-Driven Unsupervised Low-Light Image Enhancement Naishan Zheng, Jie Huang, Man Zhou, Zizheng Yang, Qi Zhu, Feng Zhao

NeurIPS 2023 May the Force Be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations Rui Feng, Qi Zhu, Huan Tran, Binghong Chen, Aubrey Toland, Rampi Ramprasad, Chao Zhang

ICCV 2023 Semi-Supervised Semantics-Guided Adversarial Training for Robust Trajectory Prediction Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu

TMLR 2023 Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao

CVPR 2022 Federated Class-Incremental Learning Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu

ECCVW 2022 MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen

ICLR 2022 Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu

NeurIPSW 2022 REGLO: Provable Neural Network Repair for Global Robustness Properties Feisi Fu, Zhilu Wang, Jiameng Fan, Yixuan Wang, Chao Huang, Xin Chen, Qi Zhu, Wenchao Li

NeurIPSW 2022 Shift-Robust Node Classification via Graph Clustering Co-Training Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han

AAAI 2021 Addressing Class Imbalance in Federated Learning Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

IJCAI 2021 Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads Chenyu Gao, Qi Zhu, Peng Wang, Qi Wu

NeurIPS 2021 Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi

AAAI 2021 Simple Is Not Easy: A Simple Strong Baseline for TextVQA and TextCaps Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu

NeurIPS 2021 Transfer Learning of Graph Neural Networks with Ego-Graph Information Maximization Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han

ICCV 2021 Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency with Weak Annotator Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu