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A record 16 papers accepted at AAAI-16

24 November 2015

QCIS has once again executed a stellar and record-breaking effort, with 16 papers accepted at the prestigious AAAI-16 conference. This Thirtieth AAAI Conference on Artificial Intelligence will be held 12–17 February in Phoenix, Arizona USA. Its purpose is to promote research in artificial intelligence (AI) and scientific exchange within the AI community. AAAI conferences are renowned for their high reviewing standards with typically only 15-25% of papers accepted. Well done, to all the successful authors!

Baosheng Yu, Meng Fang and Dacheng Tao
Linear Submodular Bandits with a Knapsack Constraint

Baosheng Yu, Meng Fang, Dacheng Tao and Jie Yin
Submodular Asymmetric Feature Selection  in Cascade Object Detection

Qiang Li, Wei Bian, Richard Xu, Jane You and Dacheng Tao
Random Mixed Field Model for Mixed-Attribute Data Restoration

Chen Gong, Dacheng Tao and Jie Yang
Teaching-to-Learn and Learning-to-Teach For Multi-label Propagation

Hao Xiong, Tongliang Liu, and Dacheng Tao
Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair

Xiyu Yu, Wei Bian and Dacheng Tao
Scalable Completion of Nonnegative Matrix with Separable Structure

Chenping Hou, Feiping Nie and Dacheng Tao
Discriminative Vanishing Component Analysis

Guoliang Kang, Jun Li and Dacheng Tao
Shakeout: A New Regularized Deep Neural Network Training Scheme

Weiwei Liu, Ivor W Tsang
Sparse Perceptron Decision Tree for Millions of Dimensions

Yan Yan, Zhongwen Xu, Ivor W Tsang, Guodong Long and Yi Yang 
Robust Semi-supervised Learning through Label Aggregation.

Mingkui Tan, Yan Yan, Li Wang, Ivor W Tsang, Anton van den Hengel and Qinfeng Shi
Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.

Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W Tsang and Shen-Shyang Ho
Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction

Jim Jing-Yan Wang, Ivor W Tsang and Xin Gao
Optimizing Multivariate Performance Measures From Multi-View Data

Xiaojun Chang, Yi Yang, Guodong Long, Chengqi Zhang and Alex Hauptmann
Dynamic Concept Composition for Zero-Example Event Detection

Chuan Zhou, Wei-Xue Lu, Peng Zhang, Jia Wu, Yue Hu and Li Guo
On the Minimum Differentially Resolving Set Problem for Diffusion Source Inference in Networks

Chuang Gan, Ming Lin, Yi Yang, Gerard de Melo and Alex Hauptmann
Concepts Not Alone: Exploring Pairwise Relationships for Zero-shot Video Activity Recognition