Bo Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 93

Top Venues

Publications

Ke Su, Hang Su, Chongxuan Li, Jun Zhu, Bo Zhang
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR (2024)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Understanding adversarial attacks on observations in deep reinforcement learning. Sci. China Inf. Sci. 67 (5) (2024)
Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CVPR (2023)
Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. CoRR (2023)
Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CoRR (2023)
You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation. CoRR (2022)
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
Fast Lossless Neural Compression with Integer-Only Discrete Flows. ICML (2022)
Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
Fast Lossless Neural Compression with Integer-Only Discrete Flows. CoRR (2022)
Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models. CoRR (2022)
Chongxuan Li, Kun Xu, Jun Zhu, Jiashuo Liu, Bo Zhang
Triple Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Bo Zhang, Meichen Tao
Research on the Impact of Interest Rate and Virtual Finance Reform on GDP Growth Based on Error Correction Model. Adv. Multim. 2022 (2022)
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. CoRR (2021)
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes. CVPR (2021)
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes. CoRR (2021)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. ICML (2021)
Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization. NeurIPS (2021)
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. ECCV (2) (2020)
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters. CoRR (2020)
Fan Bao, Chongxuan Li, Taufik Xu, Hang Su, Jun Zhu, Bo Zhang
Bi-level Score Matching for Learning Energy-based Latent Variable Models. NeurIPS (2020)
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
Pruning from Scratch. AAAI (2020)
Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
Bi-level Score Matching for Learning Energy-based Latent Variable Models. CoRR (2020)
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. CoRR (2020)
Yanze Min, Hang Su, Jun Zhu, Bo Zhang
Discrete Memory Addressing Variational Autoencoder for Visual Concept Learning. IJCNN (2020)
Kun Xu, Chao Du, Chongxuan Li, Jun Zhu, Bo Zhang
Learning Implicit Generative Models by Teaching Density Estimators. ECML/PKDD (2) (2020)
Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
To Relieve Your Headache of Training an MRF, Take AdVIL. ICLR (2020)
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. AISTATS (2020)
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models. CoRR (2020)
Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory. ICML (2020)
Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Interpret Neural Networks by Extracting Critical Subnetworks. IEEE Trans. Image Process. 29 (2020)
Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Learning Reliable Visual Saliency For Model Explanations. IEEE Trans. Multim. 22 (7) (2020)
Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
Triple Generative Adversarial Networks. CoRR (2019)
Shifeng Zhang, Jianmin Li, Bo Zhang
Pairwise Teacher-Student Network for Semi-Supervised Hashing. CoRR (2019)
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
Function Space Particle Optimization for Bayesian Neural Networks. ICLR (Poster) (2019)
Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
Pruning from Scratch. CoRR (2019)
Shifeng Zhang, Jianmin Li, Bo Zhang
Joint Cluster Unary Loss for Efficient Cross-Modal Hashing. CoRR (2019)
Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
DBSN: Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structures. CoRR (2019)
Shifeng Zhang, Jianmin Li, Bo Zhang
Pairwise Teacher-Student Network for Semi-Supervised Hashing. CVPR Workshops (2019)
Taufik Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Multi-objects Generation with Amortized Structural Regularization. NeurIPS (2019)
Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang
A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. PLoS Comput. Biol. 15 (2) (2019)
Kun Xu, Chongxuan Li, Huanshu Wei, Jun Zhu, Bo Zhang
Understanding and Stabilizing GANs' Training Dynamics with Control Theory. CoRR (2019)
Shifeng Zhang, Jianmin Li, Bo Zhang
Joint Cluster Unary Loss for Efficient Cross-Modal Hashing. ICMR (2019)
Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
Adversarial Variational Inference and Learning in Markov Random Fields. CoRR (2019)
Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Multi-objects Generation with Amortized Structural Regularization. CoRR (2019)
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
Function Space Particle Optimization for Bayesian Neural Networks. CoRR (2019)
Shifeng Zhang, Jianmin Li, Bo Zhang
Semantic Cluster Unary Loss for Efficient Deep Hashing. IEEE Trans. Image Process. 28 (6) (2019)
Wei Li, Jianmin Li, Changhu Wang, Lei Zhang, Bo Zhang
Visual instance mining from the graph perspective. Multim. Syst. 24 (2) (2018)
Shifeng Zhang, Jianmin Li, Bo Zhang
Semantic Cluster Unary Loss for Efficient Deep Hashing. CoRR (2018)
Chao Du, Jun Zhu, Bo Zhang
Learning Deep Generative Models With Doubly Stochastic Gradient MCMC. IEEE Trans. Neural Networks Learn. Syst. 29 (7) (2018)
Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang
Graphical Generative Adversarial Networks. CoRR (2018)
Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Interpret Neural Networks by Identifying Critical Data Routing Paths. CVPR (2018)
Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang
Deep Structured Generative Models. CoRR (2018)
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
Semi-crowdsourced Clustering with Deep Generative Models. CoRR (2018)
Yisu Zhou, Xiaolin Hu, Bo Zhang
Interlinked Convolutional Neural Networks for Face Parsing. CoRR (2018)
Shifeng Zhang, Jianmin Li, Mengqing Jiang, Peijiang Yuan, Bo Zhang
Scalable Discrete Supervised Multimedia Hash Learning With Clustering. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang
Textbook Question Answering Under Instructor Guidance With Memory Networks. CVPR (2018)
Juzheng Li, Hang Su, Jun Zhu, Bo Zhang
Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering. ICME (2018)
Chongxuan Li, Jun Zhu, Bo Zhang
Max-Margin Deep Generative Models for (Semi-)Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40 (11) (2018)
Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang
Graphical Generative Adversarial Networks. NeurIPS (2018)
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
Semi-crowdsourced Clustering with Deep Generative Models. NeurIPS (2018)
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning. CVPR (2018)
Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
Message Passing Stein Variational Gradient Descent. ICML (2018)
Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Learning Implicit Generative Models by Teaching Explicit Ones. CoRR (2018)
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang
Collaborative Filtering With User-Item Co-Autoregressive Models. AAAI (2018)
Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
Improving Interpretability of Deep Neural Networks with Semantic Information. CoRR (2017)
Wei Li, Jianmin Li, Bo Zhang
Saliency-GD: A TF-IDF Analogy for Landmark Image Mining. PCM (1) (2017)
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning. CoRR (2017)
Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang
Forecast the Plausible Paths in Crowd Scenes. IJCAI (2017)
Wenbo Hu, Jun Zhu, Bo Zhang
Fast sampling methods for Bayesian max-margin models. Expert Syst. Appl. 69 (2017)
Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang
Triple Generative Adversarial Nets. CoRR (2017)
Chongxuan Li, Taufik Xu, Jun Zhu, Bo Zhang
Triple Generative Adversarial Nets. NIPS (2017)
Wenbo Hu, Lifeng Hua, Lei Li, Tian Wang, Jun Zhu, Hang Su, Bo Zhang
SAM: Semantic Attribute Modulated Language Modeling. CoRR (2017)
Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, Qi Tian
Towards Reversal-Invariant Image Representation. Int. J. Comput. Vis. 123 (2) (2017)
Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
Improving Interpretability of Deep Neural Networks with Semantic Information. CVPR (2017)
Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, Bo Zhang
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization. IJCAI (2017)
Lingxi Xie, Qi Tian, Bo Zhang
Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification. IEEE Trans. Circuits Syst. Video Technol. 26 (7) (2016)
Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang
Jointly Modeling Topics and Intents with Global Order Structure. AAAI (2016)
Chongxuan Li, Jun Zhu, Bo Zhang
Max-Margin Deep Generative Models for (Semi-)Supervised Learning. CoRR (2016)
Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Cailiang Liu, Hanning Zhou, Bo Zhang
Collaborative Filtering with User-Item Co-Autoregressive Models. CoRR (2016)
Juzheng Li, Jun Zhu, Bo Zhang
Discriminative Deep Random Walk for Network Classification. ACL (1) (2016)
Wenhao Zhang, Jianqiu Ji, Jun Zhu, Jianmin Li, Hua Xu, Bo Zhang
BitHash: An efficient bitwise Locality Sensitive Hashing method with applications. Knowl. Based Syst. 97 (2016)
Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang
Crowd Scene Understanding with Coherent Recurrent Neural Networks. IJCAI (2016)
Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, Zaiqing Nie
Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields. ACL (1) (2016)
Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization. ICDM (2016)
Lingxi Xie, Jingdong Wang, Bo Zhang, Qi Tian
Incorporating visual adjectives for image classification. Neurocomputing 182 (2016)
Chongxuan Li, Jun Zhu, Bo Zhang
Learning to Generate with Memory. CoRR (2016)
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. AAAI (2016)
Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang
Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph. ECCV (8) (2016)
Zhen Ju, Weiyao Lin, Michael Ying Yang, Bo Zhang, Chuanfei Luo, Chia-Wen Lin, Tao Mei
A representative-based framework for parsing and summarizing events in surveillance videos. ICME Workshops (2016)
Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang
Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization. CoRR (2016)
Chongxuan Li, Jun Zhu, Bo Zhang
Learning to Generate with Memory. ICML (2016)
Kun Xu, Hang Su, Jun Zhu, Ji-Song Guan, Bo Zhang
Neuron Segmentation Based on CNN with Semi-Supervised Regularization. CVPR Workshops (2016)
Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang
Max-Margin Deep Generative Models. NIPS (2015)
Qingtian Zhang, Xiaolin Hu, Bo Zhang
-Norm SVR and Sparse Coding Algorithms for Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. CoRR (2015)
Chao Du, Jun Zhu, Bo Zhang
Learning Deep Generative Models with Doubly Stochastic MCMC. CoRR (2015)
Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang
Jointly Modeling Topics and Intents with Global Order Structure. CoRR (2015)
Wenbo Hu, Jun Zhu, Bo Zhang
Stochastic Subgradient MCMC Methods. CoRR (2015)
Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang
Max-margin Deep Generative Models. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bo Zhang