Xu, Kun

32 publications

AAAI 2025 Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu

AAAI 2025 Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu

ICLR 2025 Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin

ICLR 2025 Pyramidal Flow Matching for Efficient Video Generative Modeling Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong Mu, Zhouchen Lin

NeurIPS 2024 RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu

NeurIPS 2024 RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu

ICLR 2024 Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

ICLR 2024 Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

ICML 2024 Video-LaVIT: Unified Video-Language Pre-Training with Decoupled Visual-Motional Tokenization Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

ICML 2024 Video-LaVIT: Unified Video-Language Pre-Training with Decoupled Visual-Motional Tokenization Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu

JAIR 2022 CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding Linfeng Song, Chunlei Xin, Shaopeng Lai, Ante Wang, Jinsong Su, Kun Xu

ECCV 2022 Neural Color Operators for Sequential Image Retouching Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding

CVPR 2021 Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment Dongyu She, Yu-Kun Lai, Gaoxiong Yi, Kun Xu

CVPR 2021 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu

NeurIPS 2021 Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization Guoqiang Wu, Chongxuan Li, Kun Xu, Jun Zhu

ICCV 2021 Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan

ICML 2021 Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

NeurIPS 2020 Bi-Level Score Matching for Learning Energy-Based Latent Variable Models Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang

NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su

AAAI 2020 Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment Kun Xu, Linfeng Song, Yansong Feng, Yan Song, Dong Yu

NeurIPS 2020 Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu

ECML-PKDD 2020 Learning Implicit Generative Models by Teaching Density Estimators Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang

ICLR 2020 Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang, Kun Xu, Jun Zhu

AAAI 2020 Relation Extraction Exploiting Full Dependency Forests Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-Yun Ma, Dong Yu

ICLR 2020 Rethinking SoftMax Cross-Entropy Loss for Adversarial Robustness Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu

ICLR 2020 To Relieve Your Headache of Training an MRF, Take AdVIL Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang

ICML 2020 Understanding and Stabilizing GANs’ Training Dynamics Using Control Theory Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang

NeurIPSW 2020 Variational (Gradient) Estimate of the Score Function in Energy-Based Latent Variable Models Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang

ICML 2019 Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu

AAAI 2019 Lattice CNNs for Matching Based Chinese Question Answering Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, Dongyan Zhao

CVPRW 2016 Neuron Segmentation Based on CNN with Semi-Supervised Regularization Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang

AAAI 2015 What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao