2018.11.23-2018.11.26, the 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Guangzhou, China

• Multi-attention Guided Activation Propagation in CNNs.【poster】
• Reinforcement Learning and One-sample Learning in Fine-Grained Visual Categorization. (IJCAI 2018, ACM MM 2018)【poster】
• Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network. (TIP 2018)【poster】
• Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification. (TCSVT 2018)【poster】
• Text-to-image Synthesis via Symmetrical Distillation Networks. (ACM MM 2018)【poster】

2018.9.13-2018.9.16, the 4th IEEE Fourth International Conference on Multimedia Big Data (BigMM), Xi'an, China

• Stacking VAE and GAN for Context-aware Text-to-Image Generation.【poster】

2018.7.13-2018.7.19, the 27th International Joint Conference on Artificial Intelligence (IJCAI), SaltStockholm, Sweden

• Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification. 【poster】 【ppt】
• Visual Data Synthesis via GAN for Zero-Shot Video Classification. 【poster】 【ppt】
• Dual Adversarial Networks for Zero-shot Cross-media Retrieval. 【poster】 【ppt】
• StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization. 【poster】 【ppt】
• Cross-modal Bidirectional Translation via Reinforcement Learning. 【poster】 【ppt】
• Cross-media Multi-level Alignment with Relation Attention Network. 【poster】 【ppt】

2018.6.18-2018.6.21, the 31th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA

• Deep Cross-media Knowledge Transfer. 【poster】 【ppt】

2018.4.8-2018.4.10, the 13th Conference on Application of Image and Graphics Technology (IGTA), Beijing, China

• Progressive Cross-media Correlation Learning. 【ppt】

2018.2.5-2018.2.7, the 24th International Conference on Multimedia Modeling(MMM), Bangkok, Thailand

• Cost-sensitive Deep Metric Learning for Fine-Grained Image Classification. 【ppt】
• Recursive Pyramid Network with Joint Attention for Cross-media Retrieval. 【ppt】

2018.2.2-2018.2.7, the 32th AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA

• Unsupervised Generative Adversarial Cross-modal Hashing. 【poster】 【ppt】

2017.11.13-2017.11.15, TRECVID Workshop 2017, Gaithersburg, USA

• PKU_ICST at TRECVID 2017: Instance Search Task. 【poster】 【ppt】

2017.9.12-2017.9.15, the 9th International Conference on Image and Graphics (ICIG), Shanghai, China

• Attention-sharing Correlation Learning for Cross-media Retrieval. 【ppt】

2017.8.19-2017.8.25, the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia

• Cross-modal Common Representation Learning by Hybrid Transfer Network. 【poster】 【ppt】

2017.7.10-2017.7.14, IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China

• Cross-modal Deep Metric Learning with Multi-task Regularization. 【poster】
• Saliency-guided Video Classification Via Adaptively Weighted Learning. 【ppt】

2017.4.21-2017.4.23, Vision And Learning SEminar (VALSE), Xiamen, China

• SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval. (TCSVT 2017) 【poster】
• Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-grained Image Classification. (AAAI 2017) 【poster】
• Cross-Media Shared Representation by Hierarchical Learning with Multiple Deep Networks. (IJCAI 2016) 【poster】
• Semi-Supervised Cross-Media Feature Learning with Unified Patch Graph Regularization. (TCSVT 2016) 【poster】

2017.2.4-2017.2.9, AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA

• Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-grained Image Classification. 【poster】 【ppt】

2015.1.25-2015.1.29, AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA

• A Boosted Multi-Task Model for Pedestrian Detection with Occlusion Handling. 【ppt】

2014.11.3-2014.11.7, ACM Multimedia Conference (ACM-MM), Orlando, Florida, USA

• Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification. 【ppt】