Publication

[ECCV'20] H. Wang*, S. Gui, H. Yang, J. Liu, and Z. Wang, “GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework”, European Conference on Computer Vision (ECCV), 2020. [Spotlight Oral]

[ECCV'20] S. Yang*, Z. Wang, J. Liu, and Z. Guo, “Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches”, European Conference on Computer Vision (ECCV), 2020.

[ECCV'20] C. Li, T. Chen*, H. You, Z. Wang, and Y Lin, “HALO: Hardware-Aware Learning to Optimize”, European Conference on Computer Vision (ECCV), 2020.

[ICML'20] W. Chen*, Z. Yu, Z. Wang, and A. Anandkumar, “Automated Synthetic-to-Real Generalization”, International Conference on Machine Learning (ICML), 2020.

[ICML'20] X. Chen*, W. Chen*, T. Chen*, Y. Yuan*, C. Gong, K. Chen, and Z. Wang, “Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training”, International Conference on Machine Learning (ICML), 2020.

[ICML'20] Y. You*, T. Chen*, Z. Wang, and Y. Shen, ”When Does Self-Supervision Help Graph Convolutional Networks?”, International Conference on Machine Learning (ICML), 2020.

[ICML'20] R. Oftadeh, J. Shen*, Z. Wang, and D. Shell, “Eliminating the Invariance on the Loss Landscape of Linear Autoencoders”, International Conference on Machine Learning (ICML), 2020.

[ICML'20] Y. Fu, W. Chen*, H. Wang*, H. Li, Y. Lin, and Z. Wang, “AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks”, International Conference on Machine Learning (ICML), 2020.

[ICML'20] R. Ardywibowo, S. Boluki, X. Gong*, Z. Wang, and X. Qian, “NADS: Neural Architecture Distribution Search for Uncertainty Awareness”, International Conference on Machine Learning (ICML), 2020.

[ISCA'20] Y. Zhao, X. Chen*, Y. Wang, C. Li, Y. Xie, Z. Wang, and Y. Lin, “SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation”, IEEE/ACM International Symposium on Computer Architecture (ISCA), 2020.

[CVPR'20] T. Chen*, S. Liu, S. Chang, Y. Cheng, L. Amini, and Z. Wang, “Adversarial Robustness: From Self-Supervised Pretraining to Fine-Tuning”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

[CVPR'20] Z. Jiang*, B. Liu, S. Schulter, Z. Wang, and M. Chandraker, “Peek-a-boo: Occlusion Reasoning in Indoor Scenes with Plane Representations”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [Oral]

[CVPR'20] Y. You*, T. Chen*, Z. Wang, and Y. Shen, “L²-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

[ICLR'20] T. Hu*, T. Chen*, H. Wang*, and Z. Wang, "Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference", International Conference on Learning Representations (ICLR), 2020.

[ICLR'20] W. Chen*, X. Gong*, X. Liu, Q. Zhang, Y. Liu and Z. Wang, "FasterSeg: Searching for Faster Real-time Semantic Segmentation", International Conference on Learning Representations (ICLR), 2020.

[ICLR'20] H. Wang*, T. Chen*, Z. Wang, and K. Ma, "I am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively", International Conference on Learning Representations (ICLR), 2020.

[ICLR'20] H. You, C. Li, P. Xu, Y. Fu, Y. Wang, X. Chen*, R. Baraniuk, Z. Wang, and Y. Lin, "Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks", International Conference on Learning Representations (ICLR), 2020. [Spotlight Oral]

[NeurIPS'19] Z. Jiang*, Y. Wang*, X. Chen*, P. Xu, Y. Zhao, Y. Lin, and Z. Wang, “E²-Train: Training State-of-the-art CNNs with Over 80% Energy Savings”, Advances in Neural Information Processing Systems (NeurIPS), 2019.

[NeurIPS'19] S. Gui, H. Wang*, H. Yang, C. Yu, Z. Wang, and J. Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”, Advances in Neural Information Processing Systems (NeurIPS), 2019.

[NeurIPS'19] Y. Cao, T. Chen*, Z. Wang, and Y. Shen, “Learning to Optimize in Swarms”, Advances in Neural Information Processing Systems (NeurIPS), 2019.

[ICCV'19] S. Yang*, Z. Wang, Z Wang, N. Xu, J. Liu, and Z. Guo, “Controllable Artistic Text Style Transfer via Shape-Matching GAN”, IEEE International Conference on Computer Vision (ICCV), 2019. [Oral]

[ICCV'19] Z. Wu*, K. Suresh*, P. Narayanan, H. Xu, H. Kwon, and Z. Wang, “Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach”, IEEE International Conference on Computer Vision (ICCV), 2019.

[ICCV'19] X. Gong*, S. Chang, Y. Jiang*, and Z. Wang, “AutoGAN: Neural Architecture Search for Generative Adversarial Networks”, IEEE International Conference on Computer Vision (ICCV), 2019.

[ICCV'19] T. Chen*, S. Ding, J. Xie, Y. Yuan*, W. Chen*, Y. Yang, Z. Ren, and Z. Wang, “ABD-Net: Attentive but Diverse Person Re-Identification”, IEEE International Conference on Computer Vision (ICCV), 2019.

[ICCV'19] O. Kupyn, T. Martyniuk, J. Wu*, and Z. Wang, “DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better”, IEEE International Conference on Computer Vision (ICCV), 2019.

[ICML'19] E. Ryu, J. Liu, S. Wang*, X. Chen*, Z. Wang, and W. Yin, “Plug-and-Play Methods Provably Converge with Properly Trained Denoisers”, International Conference on Machine Learning (ICML), 2019.

[CVPR'19] W. Chen*, Z. Jiang*, Z. Wang, K. Cui, and X. Qian, “Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-high Resolution Images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Oral]

[CVPR'19] S. Li, I. B. Araujo*, W. Ren, Z. Wang, E. K. Tokuda*, R. Hirata, R. Cesar, J. Zhang, X. Guo, and X. Cao, “Single Image Deraining: A Comprehensive Benchmark Analysis”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

[ICLR'19] J. Liu, X. Chen*, Z. Wang, and W. Yin, “ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA”, International Conference on Learning Representations (ICLR), 2019.

[IEEE TIP'19] B. Li*, W. Ren, D. Fu, D. Tao, D. Feng, W. Zeng, and Z. Wang, “Benchmarking Single Image Dehazing and Beyond”, IEEE Transactions on Image Processing (TIP), vol. 28, no. 1, pp. 492-505, 2019.

[Bioinformatics'19] M. Karimi, D. Wu, Z. Wang and Y. Shen, “DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks”, Oxford Bioinformatics, 2019.

[NeurIPS'18] X. Chen*, J. Liu, Z. Wang, and W. Yin, “Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds”, Advances in Neural Information Processing Systems (NeurIPS), 2018. [Spotlight Oral]

[NeurIPS'18] N. Bansal*, X. Chen*, and Z. Wang, “Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?”, Advances in Neural Information Processing Systems (NeurIPS), 2018.

[ECCV'18] Z. Wu*, Z. Wang, Z. Wang, and H. Jin, “Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study”, European Conference on Computer Vision (ECCV), 2018.

[ICML'18] J. Wu*, Y. Wang*, Z. Wu*, Z. Wang, A. Veeraraghavan, and Y. Lin, “Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions”, International Conference on Machine Learning (ICML), 2018.

[IJCAI'18] D. Liu, B. Wen, X. Liu, Z. Wang, and T. Huang, “When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach”, International Joint Conferences on Artificial Intelligence (IJCAI), 2018.

[ICCV'17] B. Li*, X. Peng, Z. Wang, J. Xu, and D. Feng, “AOD-Net: All-in-One Dehazing Network”, IEEE International Conference on Computer Vision (ICCV), 2017.

[ICCV'17] D. Liu, Z. Wang, Y. Fan, X. Liu, Z. Wang, S. Chang, and T. Huang, “Robust Video Super-Resolution with Learned Temporal Dynamics”, IEEE International Conference on Computer Vision (ICCV), 2017.

[CVPR'16] Z. Wang, S. Chang, Y. Yang, D. Liu, and T. Huang, “Studying Very Low Resolution Recognition Using Deep Networks”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

[CVPR'16] Z. Wang, D. Liu, S. Chang, Q. Ling, Y. Yang, and T. Huang, “D3 : Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

[AAAI'16] Z. Wang, Q. Ling, and T. Huang, “Learning Deep l0 Encoders”, AAAI Conference on Artificial Intelligence (AAAI), 2016.

[ACM MM'15] Z. Wang, J. Yang, H. Jin, E. Shechtman, A. Agarwala, J. Brandt, and T. Huang, “DeepFont: Recognize Your Font From An Image”, ACM International Conference on Multimedia (ACM MM), 2015. [Long Oral]

Deep Learning through Sparse and Low-Rank Modeling. Elsevier (CVPR series), 2019. ISBN: 978-012-813-659-1. [Amazon Link]

• By: Zhangyang Wang, Yun Fu, and Thomas. S. Huang,

Sparse Coding and Its Applications in Computer Vision. World Scientific Books, 2015. ISBN: 978-981-4725-04-0. [Amazon Link]

• By: Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Ding Liu and Thomas. S. Huang,

Chapter 6: "Deep Learning for Font Recognition and Retrieval", in Applied Cloud Deep Semantic Recognition: Advanced Anomaly Detection. CRC Press-Tylor & Francis, ISBN: 978-135-1119-02-3. [Amazon Link]