PUBLICATIONS

Books

2020 “Deep Reinforcement Learning: Fundamentals, Research and Applications”, Springer Nature, Hao Dong, Zihan Ding, Shanghang Zhang

Journal Publications

2020 “A Review of Single-Source Deep Unsupervised Visual Domain Adaptation”, IEEE Transactions on Neural Networks and Learning Systems.

2020 “Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training”, Knowledge-Based Systems.

2019 “Feature Fusion for Image Retrieval with Adaptive Bitrate Allocation and Hard Negative Mining”, IEEE Access.

2012   “On a Highly Efficient RDO-based Mode Decision Pipeline Design,” IEEE Transactions on Multimedia (TMM).

Conference Publications 

2020 “TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning”, 16th European Conference on Computer Vision (ECCV), Oral presentation

2020 “Instance Adaptive Self-Training for Unsupervised Domain Adaptation”, 16th European Conference on Computer Vision (ECCV).

2020 “Compositional Few-Shot Recognition with Primitive Discovery and Enhancing”, ACM Multimedia (ACM MM), Oral presentation.

2020 "Generalized Zero-shot Text Classification for ICD Coding", International Joint Conference on Artificial Intelligence (IJCAI).

2020 "Multi-source Distilling Domain Adaptation", Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI).

2019 "Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning", Advances in Neural Information Processing Systems (NeurIPS).

2019 "MaCow: Masked Convolutional Generative Flow", Advances in Neural Information Processing Systems (NeurIPS).

2018 "Adversarial Multiple Source Domain Adaptation", Advances in Neural Information Processing Systems (NeurIPS).

2018 "Learning to Understand Image Blur", Conference on Computer Vision and Pattern Recognition (CVPR).

2018   "A Deep Learning Approach to IoT Authentication", IEEE International Conference on Communications (ICC).

2018  "Multiple Source Domain Adaptation with Adversarial Learning", International Conference on Learning Representations (ICLR), invited to workshop track (90/935 submission).

2017   “FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras”, International Conference on Computer Vision (ICCV).

2017   "Understanding Traffic Density from Large-Scale Web Camera Data", Conference on Computer Vision and Pattern Recognition (CVPR).

2017 "Topology adaptive graph convolutional networks", arXiv:1710.10370.

2017   "Multiple Source Domain Adaptation with Adversarial Training of Neural Networks", arXiv:1705.09684.

2016   “Block-Coordinate Frank-Wolfe Optimization for Counting Objects in Images”, Thirtieth Annual Conference on Neural Information Processing Systems (NIPS) Workshop.

2015   “Traffic Flow from a Low Frame Rate City Camera,” IEEE International Conference on Image Processing (ICIP).

2014 “Bayesian Model Fusion: Enabling Test Cost Reduction of Analog/RF Circuits via Wafer-level Spatial Variation Modeling,” International Test Conference(ITC).

2013 “A High-throughput Low-latency Arithmetic Encoder Design for HDTV,” The IEEE International Symposium on Circuits and Systems (ISCAS).

2012 "An efficient foreground-based surveillance video coding scheme in low bit-rate compression" Visual Communications and Image Processing (VCIP), 2012 IEEE, 1-6.

2012 “An Optimized Hardware Video Encoder For AVS With Level C+ Data Reuse Scheme For Motion Estimation,” IEEE International Conference on Multimedia & Expo (ICME)