@article{ma2022contrastive,title={Contrastive Knowledge Graph Attention Network for Request-based Recipe Recommendation},author={Ma, Xiyao and Gao, Zheng and Hu, Qian and Abdelhady, Mohamed},journal={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},pages={3278--3282},year={2022},organization={IEEE},}
IJCNN
Contrastive Co-training for Diversified Recommendation
Xiyao Ma, Qian Hu, Zheng Gao, and Mohamed AbdelHady
International Joint Conference on Neural Networks (IJCNN) 2022
@article{macontrastive,title={Contrastive Co-training for Diversified Recommendation},author={Ma, Xiyao and Hu, Qian and Gao, Zheng and AbdelHady, Mohamed},journal={International Joint Conference on Neural Networks (IJCNN)},year={2022},organization={IEEE},}
IJCNN
HCL: Hybrid Contrastive Learning for Graph-based Recommendation
Xiyao Ma, Zheng Gao, Qian Hu, and Mohamed AbdelHady
International Joint Conference on Neural Networks (IJCNN) 2022
@article{mahcl,title={HCL: Hybrid Contrastive Learning for Graph-based Recommendation},author={Ma, Xiyao and Gao, Zheng and Hu, Qian and AbdelHady, Mohamed},journal={International Joint Conference on Neural Networks (IJCNN)},year={2022},organization={IEEE},}
iConference
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-Type Usefulness Distribution
Zheng Gao, Chun Guo, Shutian Ma, and Xiaozhong Liu
@article{gao2022improving,title={Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-Type Usefulness Distribution},author={Gao, Zheng and Guo, Chun and Ma, Shutian and Liu, Xiaozhong},journal={International Conference on Information},pages={68--78},year={2022},organization={Springer},}
2021
ASRU
X-SHOT: Learning to Rank Voice Applications Via Cross-Locale Shard-Based Co-Training
@article{gao2021x,title={X-SHOT: Learning to Rank Voice Applications Via Cross-Locale Shard-Based Co-Training},author={Gao, Zheng and AbdelHady, Mohamed and Arava, Radhika and Gao, Xibin and Hu, Qian and Xiao, Wei and Mohamed, Thahir},journal={IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},pages={845--852},year={2021},organization={IEEE},}
Interspeech
Paraphrase Label Alignment for Voice Application Retrieval in Spoken Language Understanding.
@article{gao2021paraphrase,title={Paraphrase Label Alignment for Voice Application Retrieval in Spoken Language Understanding.},author={Gao, Zheng and Arava, Radhika and Hu, Qian and Gao, Xibin and Mohamed, Thahir and Xiao, Wei and AbdelHady, Mohamed},journal={Interspeech},pages={4199--4203},year={2021},}
KDD Workshop
Graphire: Novel Intent Discovery with Pretraining on Prior Knowledge using Contrastive Learning
@article{gao2021graphire,title={Graphire: Novel Intent Discovery with Pretraining on Prior Knowledge using Contrastive Learning},author={Gao, Xibin and Arava, Radhika and Hu, Qian and Mohamed, Thahir and Xiao, Wei and Gao, Zheng and AbdelHady, Mohamed},journal={KDD Workshop on Pretraining: Algorithms, Architectures, and Applications},year={2021},}
KDD Workshop
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant
@article{xiao2021two,title={Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant},author={Xiao, Wei and Hu, Qian and Mohamed, Thahir and Gao, Zheng and Gao, Xibin and Arava, Radhika and AbdelHady, Mohamed},journal={KDD 2nd International Workshop: Industrial Recommendation Systems},year={2021},}
EMNLP Workshop
Collaborative data relabeling for robust and diverse voice apps recommendation in intelligent personal assistants
@article{hu2021collaborative,title={Collaborative data relabeling for robust and diverse voice apps recommendation in intelligent personal assistants},author={Hu, Qian and Mohamed, Thahir and Gao, Zheng and Gao, Xibin and Arava, Radhika and Ma, Xiyao and AbdelHady, Mohamed},journal={The 3rd Workshop on Natural Language Processing for Conversational AI at EMNLP},pages={113--119},year={2021},}
2020
SIGIR
Detecting user community in sparse domain via cross-graph pairwise learning
Zheng Gao, Hongsong Li, Zhuoren Jiang, and Xiaozhong Liu
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2020
@article{gao2020detecting,title={Detecting user community in sparse domain via cross-graph pairwise learning},author={Gao, Zheng and Li, Hongsong and Jiang, Zhuoren and Liu, Xiaozhong},journal={ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)},pages={139--148},year={2020},}
ECAI
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection
Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, and Xiaozhong Liu
European Conference on Artificial Intelligence (ECAI) 2020
@article{gao2020behavior,title={Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection},author={Gao, Zheng and Zhao, Lujun and Huang, Heng and Li, Hongsong and Sun, Changlong and Si, Luo and Liu, Xiaozhong},journal={European Conference on Artificial Intelligence (ECAI)},pages={2022--2029},year={2020},publisher={IOS Press},}
WWW
Task-oriented genetic activation for large-scale complex heterogeneous graph embedding
Zhuoren Jiang, Zheng Gao, Jinjiong Lan, Hongxia Yang, Yao Lu, and Xiaozhong Liu
@article{jiang2020task,title={Task-oriented genetic activation for large-scale complex heterogeneous graph embedding},author={Jiang, Zhuoren and Gao, Zheng and Lan, Jinjiong and Yang, Hongxia and Lu, Yao and Liu, Xiaozhong},journal={The Web Conference},pages={1581--1591},year={2020},}
2019
GECCO
Efficient personalized community detection via genetic evolution
Zheng Gao, Chun Guo, and Xiaozhong Liu
The Genetic and Evolutionary Computation Conference (GECCO) 2019
@article{gao2019efficient,title={Efficient personalized community detection via genetic evolution},author={Gao, Zheng and Guo, Chun and Liu, Xiaozhong},journal={The Genetic and Evolutionary Computation Conference (GECCO)},pages={383--391},year={2019},}
BMC
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Ying Ding, and others
@article{gao2019edge2vec,title={edge2vec: Representation learning using edge semantics for biomedical knowledge discovery},author={Gao, Zheng and Fu, Gang and Ouyang, Chunping and Tsutsui, Satoshi and Liu, Xiaozhong and Yang, Jeremy and Gessner, Christopher and Foote, Brian and Wild, David and Ding, Ying and others},journal={BMC bioinformatics},volume={20},number={1},pages={1--15},year={2019},publisher={BioMed Central},}
KDD Workshop
AMAD: adversarial multiscale anomaly detection on high-dimensional and time-evolving categorical data
Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, and Xiaozhong Liu
Deep Learning Practice for High-Dimensional Sparse Data Workshop at ACM SIGKDD Conference on Knowledge Discovery and Data Mining (DLP-KDD), 2019
@article{gao2019amad,title={AMAD: adversarial multiscale anomaly detection on high-dimensional and time-evolving categorical data},author={Gao, Zheng and Guo, Lin and Ma, Chi and Ma, Xiao and Sun, Kai and Xiang, Hang and Zhu, Xiaoqiang and Li, Hongsong and Liu, Xiaozhong},journal={Deep Learning Practice for High-Dimensional Sparse Data Workshop at ACM SIGKDD Conference on Knowledge Discovery and Data Mining (DLP-KDD),},pages={1--8},year={2019},}
iConference
How to make a successful movie: Factor analysis from both financial and critical perspectives
Zheng Gao, Vincent Malic, Shutian Ma, and Patrick Shih
@article{gao2019make,title={How to make a successful movie: Factor analysis from both financial and critical perspectives},author={Gao, Zheng and Malic, Vincent and Ma, Shutian and Shih, Patrick},journal={International Conference on Information},pages={669--678},year={2019},organization={Springer},}
AJSE
A two-stage iterative approach to improve crowdsourcing-based relevance assessment
@article{wang2019two,title={A two-stage iterative approach to improve crowdsourcing-based relevance assessment},author={Wang, Yongzhen and Lin, Yan and Gao, Zheng and Chen, Yan},journal={Arabian Journal for Science and Engineering},volume={44},number={4},pages={3155--3172},year={2019},publisher={Springer},}
2018
EMNLP
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Yongzhen Wang, Xiaozhong Liu, and Zheng Gao
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2018
@article{wang2018neural,title={Neural Related Work Summarization with a Joint Context-driven Attention Mechanism},author={Wang, Yongzhen and Liu, Xiaozhong and Gao, Zheng},journal={Conference on Empirical Methods in Natural Language Processing (EMNLP)},pages={1776--1786},year={2018},}
SIGIR Workshop
An end-to-end model of predicting diverse ranking on heterogeneous feeds
Zizhe Gao, Zheng Gao, Heng Huang, Zhuoren Jiang, and Yuliang Yan
eCOM Workshop at ACM SIGIR Conference on Research and Development in Information Retrieval (eCom-SIGIR) 2018
@article{gao2018end,title={An end-to-end model of predicting diverse ranking on heterogeneous feeds},author={Gao, Zizhe and Gao, Zheng and Huang, Heng and Jiang, Zhuoren and Yan, Yuliang},journal={eCOM Workshop at ACM SIGIR Conference on Research and Development in Information Retrieval (eCom-SIGIR)},year={2018},}
CIKM
Mathematics content understanding for cyberlearning via formula evolution map
Zhuoren Jiang, Liangcai Gao, Ke Yuan, Zheng Gao, Zhi Tang, and Xiaozhong Liu
ACM International Conference on Information and Knowledge Management (CIKM) 2018
@article{jiang2018mathematics,title={Mathematics content understanding for cyberlearning via formula evolution map},author={Jiang, Zhuoren and Gao, Liangcai and Yuan, Ke and Gao, Zheng and Tang, Zhi and Liu, Xiaozhong},journal={ACM International Conference on Information and Knowledge Management (CIKM)},pages={37--46},year={2018},}
2017
iConference
Personalized community detection in scholarly network
@article{gao2017personalized,title={Personalized community detection in scholarly network},author={Gao, Zheng and Liu, Xiaozhong},journal={International Conference on Information},year={2017},publisher={iSchools},}
iConference
Internal/external information access and information diffusion in social media
Tian Xia, Xing Yu, Zheng Gao, Yijun Gu, and Xiaozhong Liu
@article{xia2017internal,title={Internal/external information access and information diffusion in social media},author={Xia, Tian and Yu, Xing and Gao, Zheng and Gu, Yijun and Liu, Xiaozhong},journal={International Conference on Information},year={2017},publisher={iSchools},}
iConference
Enter a job, get course recommendations
Nan Li, Naren Suri, Zheng Gao, Tian Xia, Katy Börner, and Xiaozhong Liu
@article{li2017enter,title={Enter a job, get course recommendations},author={Li, Nan and Suri, Naren and Gao, Zheng and Xia, Tian and B{\"o}rner, Katy and Liu, Xiaozhong},journal={International Conference on Information},year={2017},publisher={iSchools},}
2016
Hypertext
Comparing community-based information adoption and diffusion across different microblogging sites
Xiaozhong Liu, Xing Yu, Zheng Gao, Tian Xia, and Johan Bollen
@article{liu2016comparing,author={Liu, Xiaozhong and Yu, Xing and Gao, Zheng and Xia, Tian and Bollen, Johan},journal={ACM Conference on Hypertext and Social Media},pages={103--112},year={2016},}