Publications

* stands for corresponding author

Top conference papers

[1] Yuhang Song, Thomas Lukasiewicz‚ Zhenghua Xu*, Rafal Bogacz. Can the Brain Do Backpropagation?
In the Neural Information Processing Systems (NeurIPS), 2020. (CCF Rank A, Acceptance rate: 20.09%)

[2] Yuhang Song‚ Andrzej Wojcicki‚ Thomas Lukasiewicz‚ Jianyi Wang‚ Abi Aryan‚ Zhenghua Xu*‚ Mai Xu‚ Zihan Ding and Lianlong Wu. Arena: A General Evaluation Platform and Building Toolkit for Multi−Agent Intelligence.
In the 34rd AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF Rank A, Acceptance rate: 20.6%)
[Details] [Download paper here]

[3] Yuhang Song‚ Jianyi Wang‚ Thomas Lukasiewicz‚ Zhenghua Xu*‚ Shangtong Zhang‚ Andrzej Wojcicki and Mai Xu. Mega−Reward: Achieving Human−Level Play without Extrinsic Rewards.
In the 34rd AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF Rank A, Acceptance rate: 20.6%)
[Details] [Download paper here]

[4] Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu* and Mai Xu. Diversity-Driven Extensible Hierarchical Reinforcement Learning.
In the 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF Rank A, Acceptance rate: 16.2%)
[Details] [Download paper here] [Code Release] [Oral Presentation]

[5] Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao and Xiangwu Meng. Tag-Aware Personalized Recommendation Using a Hybrid Deep Model.
In the International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF Rank A, Acceptance rate: 25.9%)
[Details] [Download paper here]

[6] Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang and Zhenghua Xu*. Destination Prediction by Sub-trajectory Synthesis and Privacy Protection against Such Prediction.
In the 29th IEEE International Conference on Data Engineering (ICDE),2013. (CCF Rank A, Acceptance rate: 19.8%, Number of Google Scholar citaions: 250+, Number of SCI-E citaions: 80+)
[Details] [Download paper here]

[7] Zhenghua Xu*,Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao and Guizhi Xu. Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation.
In the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019. (CCF Rank B)
[Details] [Download paper here]

[8] Zhenghua Xu, Chang Qi and Guizhi Xu. Semi-Supervised Attention-Guided CycleGAN for Data Augmentation on Medical Images.
In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. (CCF Rank B, Acceptance rate: 18%)
[Details] [Download paper here]

[9] Lei Wang, Bo Wang, Zhenghua Xu*. Tumor Segmentation Based on Deeply Supervised Multi-Scale U-Net.
In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. (CCF Rank B, Acceptance rate: 18%)
[Details] [Download paper here]

[10] Bo Li, Zehua Cheng, Zhenghua Xu*, Wei Ye, Thomas Lukasiewicz and Shikun Zhang. Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.
In the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019. (CCF Rank B)
[Details] [Download paper here] [Code Release]

[11] Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng and Zhenghua Xu (co-first author, in alphabetical order). Location-Aware News Recommendation Using Deep Localized Semantic Analysis.
In the 22nd International Conference on Database Systems for Advanced Applications (DASFAA), 2017. (CCF Rank B, Acceptance rate: 24.3%)
[Details] [Download paper here]

[12] Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao and Xiangwu Meng. Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling.
In the 25th ACM International Conference on Information and Knowledge Management (CIKM),2016. (CCF Rank B, Acceptance rate: 28.8%)
[Details] [Download paper here]

[13] Zhenghua Xu, Rui Zhang, Ramamohanarao Kotagiri and Udaya Parampalli. An Adaptive Online Algorithm for Time Series Segmentation with Error Bound Guarantee.
In the 15th International Conference on Extending Database Technology (EDBT), 2012. (CCF Rank B, Acceptance rate: 22.5%)
Details [Download paper here]

Journal articles

[14] Qian Zhou, Yan Shi, Zhenghua Xu*, Ruowei Qu, and Guizhi Xu. Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule.
In IEEE Access, 2020. (SCI JCR Q1, IF: 4.098)

[15] Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari and Cheng Chen. Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity.
In IEEE Access, 2018. (SCI JCR Q1, IF: 4.098)
[Details] [Download paper here]

[16] Cheng Chen, Xiangwu Meng, Zhenghua Xu, and Thomas Lukasiewicz. Location-Aware Personalized News Recommendation With Deep Semantic Analysis.
In IEEE Access, 2017. (SCI JCR Q1, IF: 4.098)
[Details] [Download paper here]

Other papers

[17] Zhenghua Xu, Thomas Lukasiewicz and Oana TifreaMarciuska. Improving Personalized Search on the Social Web Based on Similarities between Users.
In the 8th International Conference on Scalable Uncertainty Management (SUM), 2014. (EI)
[Details] [Download paper here]

[18] Zhenghua Xu, Xinghuo Yu, Yong Feng, Jiankun Hu, Zahir Tari and Fengling Han. A Multi-Module Anomaly Detection Scheme based on System Call Prediction.
In the 8th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2013. (EI & ISTP)
[Details] [Download paper here]

[19] Zhenghua Xu, Xinghuo Yu, Yong Feng, Jiankun Hu, Zahir Tari and Fengling Han. Top-k Future System Call Prediction Based Multi-Module Anomaly Detection System.
In the 6th International Congress on Image and Signal Processing (CISP), 2013. (EI & ISTP)
[Details] [Download paper here]

[20] Jianzhong Qi, Zhenghua Xu, Yuan Xue and Zeyi Wen. A Branch and Bound Method for Min-dist Location Selection Queries.
In the 23rd Australasian Database Conference (ADC), 2012. (Runner-up for Best Paper award)
[Details] [Download paper here]