Wu, Jie

42 publications

ICML 2025 A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection Xinsong Ma, Jie Wu, Weiwei Liu
ICCV 2025 DreamFuse: Adaptive Image Fusion with Diffusion Transformer Junjia Huang, Pengxiang Yan, Jiyang Liu, Jie Wu, Zhao Wang, Yitong Wang, Liang Lin, Guanbin Li
ICML 2025 EpiCoder: Encompassing Diversity and Complexity in Code Generation Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li
IJCAI 2025 FedCPD: Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation Kaili Jin, Li Xu, Xiaoding Wang, Sun-Yuan Hsieh, Jie Wu, Limei Lin
IJCAI 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients Xiaoding Wang, Bin Ye, Li Xu, Lizhao Wu, Sun-Yuan Hsieh, Jie Wu, Limei Lin
ECML-PKDD 2025 HCT: A Hierarchical Contrastive Learning Framework for Transferable Graph Anomaly Detection Jiawei Ye, Hongyi Li, Qinlin Xie, Sicheng Liang, Yu Liu, Jie Wu
ICLR 2025 IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model Yatai Ji, Shilong Zhang, Jie Wu, Peize Sun, Weifeng Chen, Xuefeng Xiao, Sidi Yang, Yujiu Yang, Ping Luo
AAAI 2025 JailPO: A Novel Black-Box Jailbreak Framework via Preference Optimization Against Aligned LLMs Hongyi Li, Jiawei Ye, Jie Wu, Tianjie Yan, Chu Wang, Zhixin Li
CVPR 2025 LMO: Linear Mamba Operator for MRI Reconstruction Wei Li, Jiawei Jiang, Jie Wu, Kaihao Yu, Jianwei Zheng
ICCV 2025 Laboring on Less Labors: RPCA Paradigm for Pan-Sharpening Honghui Xu, Chuangjie Fang, Yibin Wang, Jie Wu, Jianwei Zheng
AAAI 2025 Multiple Feature Refining Network for Visual Emotion Distribution Learning Qinfu Xu, Shaozu Yuan, Yiwei Wei, Jie Wu, Leiquan Wang, Chunlei Wu
NeurIPS 2025 On the SAC-BL Algorithm for Anomaly Detection Xinsong Ma, Jie Wu, Weiwei Liu
NeurIPS 2025 PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang, Haoling Li, Zhong-Zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yeyun Gong, Yelong Shen, Yujiu Yang
ICCV 2025 Prompt-a-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM Yatai Ji, Jiacheng Zhang, Jie Wu, Shilong Zhang, Shoufa Chen, Chongjian Ge, Peize Sun, Weifeng Chen, Wenqi Shao, Xuefeng Xiao, Weilin Huang, Ping Luo
IJCAI 2025 RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework Limei Lin, Jinpeng Xu, Xiaoding Wang, Liang Chen, Sun-Yuan Hsieh, Jie Wu
AAAI 2025 ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models Jiaxiang Cheng, Pan Xie, Xin Xia, Jiashi Li, Jie Wu, Yuxi Ren, Huixia Li, Xuefeng Xiao, Shilei Wen, Lean Fu
AAAI 2025 Towards Multimodal Sentiment Analysis via Hierarchical Correlation Modeling with Semantic Distribution Constraints Qinfu Xu, Yiwei Wei, Chunlei Wu, Leiquan Wang, Shaozu Yuan, Jie Wu, Jing Lu, Hengyang Zhou
ECCV 2024 ByteEdit: Boost, Comply and Accelerate Generative Image Editing Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu
ECCV 2024 ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen
ECCV 2024 Grounding Language Models for Visual Entity Recognition Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez
NeurIPS 2024 Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao
AAAI 2024 PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong
AAAI 2024 SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting Jie Wu, Yuchao Feng, Honghui Xu, Chuanmeng Zhu, Jianwei Zheng
NeurIPS 2024 UniFL: Improve Latent Diffusion Model via Unified Feedback Learning Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li
ICCV 2023 AlignDet: Aligning Pre-Training and Fine-Tuning in Object Detection Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan
ICCV 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji
CVPR 2023 FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang
ICCV 2023 UGC: Unified GAN Compression for Efficient Image-to-Image Translation Yuxi Ren, Jie Wu, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui Wang, Min Zheng, Xin Pan
AAAI 2022 Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang
AAAI 2022 GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks Jie Wu, Ian G. Harris, Hongzhi Zhao
ECCV 2022 Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang
ECCV 2022 ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li
CVPRW 2021 Box-Level Tube Tracking and Refinement for Vehicles Anomaly Detection Jie Wu, Xionghui Wang, Xuefeng Xiao, Yitong Wang
ICCV 2021 Online Multi-Granularity Distillation for GAN Compression Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang
NeurIPS 2021 Revisiting Discriminator in GAN Compression: A Generator-Discriminator Cooperative Compression Scheme Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji
IJCAI 2021 Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video Jie Wu, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, Liang Lin
CVPRW 2020 Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly Detection Yingying Li, Jie Wu, Xue Bai, Xipeng Yang, Xiao Tan, Guanbin Li, Shilei Wen, Hongwu Zhang, Errui Ding
NeurIPS 2020 Robust Sequence Submodular Maximization Gamal Sallam, Zizhan Zheng, Jie Wu, Bo Ji
AAAI 2020 Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video Jie Wu, Guanbin Li, Si Liu, Liang Lin
CVPRW 2016 Covert Video Classification by Codebook Growing Pattern Liang Du, Haitao Lang, Ying-li Tian, Chiu C. Tan, Jie Wu, Haibin Ling
IJCAI 2015 Offline Sketch Parsing via Shapeness Estimation Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui
AAAI 2014 Sketch Recognition with Natural Correction and Editing Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui