计算机所师生参加IJCAI 2018

2018年7月13日到19日,人工智能(AI)领域顶级国际会议IJCAI(International Joint Conference on Artificial Intelligence,人工智能国际联合大会)在瑞典斯德哥尔摩举行。计算机所师生前往参会。

部分参会师生合影(从左到右:尚明月,严睿,童小伟,陶重阳,王科,刘天宇)

IJCAI会议始于1969年,是国际人工智能领域研究内容最为全面、最具影响力的顶级学术会议之一,会议内容涵盖了人工智能理论与架构、机器学习、自然语言处理、计算机视觉、机器人科学等领域,会议论文基本代表人工智能领域最新研究进展和最高研究水平。今年的IJCAI会议共收到来自世界各地的3470篇论文投稿,录用710篇论文,论文录用率约为20%。

计算机所师生在本次会议共发表论文14篇,分别做了口头报告和海报展示。

其中,万小军研究员的语言计算与互联网挖掘研究室发表了2篇论文,论文具体信息如下:

1)Ke Wang and Xiaojun Wan. SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks

该论文荣获本次会议杰出论文奖,本文提出了一种名为SentiGAN的对抗生成模型用于自动生成高质量的多类情感文本(例如正面评论与负面评论),在多个基准数据集上均取得了最佳性能。

2)Tianyu Liu, Wei Wei and Xiaojun Wan. Learning to Explain Ambiguous Headlines of Online News.

本文提出了解释模糊新闻标题的新任务,并给出通过抽取新闻正文中的句子提供标题中隐藏信息的解决方法。实验结果证明了方法的有效性。

彭宇新教授的多媒体信息处理研究室发表了6篇论文,研究内容涉及跨媒体分析与检索、视频内容分析、图像细粒度分类等方向。论文的信息如下:

3)Chenrui Zhang and Yuxin Peng, Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification (Oral, Full paper)

綦金玮(左)、何相腾(中)、迟敬泽(右)在会场外合影

4)Chenrui Zhang and Yuxin Peng, Visual Data Synthesis via GAN for Zero-Shot Video Classification (Oral, Full paper)

5)Jinwei Qi and Yuxin Peng. Cross-modal Bidirectional Translation via Reinforcement Learning. (Oral, Full paper)

6)Jinwei Qi, Yuxin Peng and Yuxin Yuan. Cross-media Multi-level Alignment with Relation Attention Network”. (Oral, Full paper)

綦金玮做口头报告

7)Jingze Chi and Yuxin Peng. Dual Adversarial Networks for Zero-shot Cross-media Retrieval. (Oral, Full paper)

迟敬泽做口头报告

8)Xiangteng He, Yuxin Peng and Junjie Zhao. StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization. (Oral, Full paper)

具体信息可见:http://www.icst.pku.edu.cn/index.php?s=/Home/Article/detail/id/742.html

何相腾做口头报告

赵东岩研究员的网络与信息处理实验室发表了6篇论文,研究内容全部集中在智能人机对话交互上。论文的信息如下:

9)Rui Yan. Chitty-Chitty-Chat Bot: Deep Learning for Conversational AI

10)Rui Yan, Dongyan Zhao. Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm.

11)Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao, Rui Yan. Learning to Converse with Noisy Data: Generation with Calibration

12)Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan. Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism

13)Yiping Song, Zhengde Li, Jianyun Nie, Ming Zhang, Dongyan Zhao, Rui Yan. An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems.

14)Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan, One “Ruler” for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning

具体信息可见:http://www.icst.pku.edu.cn/index.php?s=/Home/Article/detail/id/767.html

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