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Full Publications(By member)


Professors:Lin ChenXu ChenXiaola LinHong ShenWushao WenDi WuWeigang Wu

Associate Professors:Cong LiuRong PanYan PanYingpeng SangHejun WuChao YuZhiguo ZhangHankui ZhuoJieying ZhouYongmin Zhang

Research Fellows/Postdoctors:Miao HuZhichuan HuangShuai YuXiaoxing YangZhi Zhou

 

Selected Papers


2020

  1. Junyi Shen (Master Student), Hankz Hankui Zhuo, Jin Xu, Sinno Jialin Pan. Transfer Value Iteration Networks. AAAI, Feb 2020.
  2. Zhanhao Xiao, Hai Wan, Hankz Hankui Zhuo, etc. Refining HTN Methods via Task Insertion with Preferences. AAAI, Feb 2020.
  3. Bo Shao, YeyunGong, Weizhen Qi, Nan Duan, Xiaola Lin, “Graph-based Transformer with Cross-candidate Verification for Semantic Parsing”, accepted to appear in AAAI-2020. 

 

2019

  1. Shuai Yu, Xu Chen, Lei Yang, Di Wu, Mehdi Bennis, and Junshan Zhang, “Intelligent Edge: Leveraging Deep Imitation Learning for Mobile Edge Computation Offloading,” IEEE Wireless Communications, Dec. 2019.
  2. Song Yang, Fan Li, Stojan Trajanovski, Xu Chen, Yu Wang, and Xiaoming Fu, “Delay-Aware Virtual Network Function Placement and Routing in Edge Clouds,” accepted by IEEE Transactions on Mobile Computing (TMC), Sept. 2019.
  3. Rui Li, Zhi Zhou, Xu Chen, and Qing Ling, “Resource Price-Aware Offloading for Edge-Cloud Collaboration: A Two-Timescale Online Control Approach,” accepted by IEEE Transactions on Cloud Computing, Aug. 2019.
  4. Zhi Zhou, QiongWu, and Xu Chen, “Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing,” IEEE Journal on Selected Areas in Communications, Vol. 37, No. 8, pp. 1866 - 1880, Aug. 2019.
  5. Zhi Zhou, QiongWu, and Xu Chen, “Online Orchestration of Cross-Edge Service Function Chaining for Cost-Efficient Edge Computing,” IEEE Journal on Selected Areas in Communications, Vol. 37, No. 8, pp. 1866 - 1880, Aug. 2019.
  6. Tao Ouyang, Xu Chen, Liekang Zeng, and Zhi Zhou, “Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning,” The IEEE Real-Time Systems Symposium (RTSS), Hong Kong, China, 3-6 Dec., 2019.
  7. Tao Ouyang, Rui Li, Xu Chen, Zhi Zhou, and Xin Tang, “Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach,” IEEE International Conference on Computer Communications (INFOCOM), Paris, France, 29 April-2 May 2019.
  8. Miao Hu, Di Wu*, Weigang Wu, Julian Cheng, and Min Chen, “Quantifying the Influence of Intermittent Connectivity on Mobile Edge Computing”, IEEE Transactions on Cloud Computing (IEEE TCC), doi: 10.1109/TCC.2019.2926702, July. 2019.
  9. Miao Hu, Lei Zhuang, Di Wu*, Yipeng Zhou, Xu Chen, and Liang Xiao, “Learning Driven Computation Offloading for Asymmetrically Informed Edge Computing”, IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), Volume: 30, Issue:8, Page(s): 1802-1815, Aug. 2019.
  10. Yipeng Zhou, Guoqiao Ye, Di Wu, Jessie Hui Wang and Min Chen, Collaboratively Replicating Encoded Content on RSUs to Enhance Video Services for Vehicles,In IEEE Transactions on Mobile Computing (IEEE TMC), accepted, Dec 2019.
  11. En Li, Liekang Zeng, Zhi Zhou, and Xu Chen, “Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing,” accepted by IEEE Transactions on Wireless Communications (TWC), Sept. 2019.
  12. Siqi Luo, Xu Chen, and Zhi Zhou “F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing,” IEEE International Conference on Distributed Computing Systems (ICDCS), Dallas, Texas, USA, 7-10 July, 2019.
  13. Yixue Hao, Miao Li, Di Wu, Min Chen*, Mohammad Mehedi Hassan, G Fortino, “Human-Like Hybrid Caching in Software-defined Edge Cloud”, IEEE Internet of Things Journal (IOTJ), SI Edge-Cloud Interplay based on SDN & NFV, In press, 2019.
  14. Minghui Min, Xiaoyue Wan, Liang Xiao*, Ye Chen, Minghua Xia, Di Wu, Huaiyu Dai, “Learning-Based Privacy-Aware Offloading for Healthcare IoT with Energy Harvesting”, IEEE Internet of Things Journal (IEEE IOTJ), Volume: 6 , Issue: 3, Page(s): 4307 - 4316, June 2019.
  15. Hejun Wu, Zhimin Ding, Jiannong Cao: GROLO: Realistic Range-Based Localization for Mobile IoTs Through Global Rigidity. IEEE Internet of Things Journal 6(3): 5048-5057 (2019).
  16. Zhi Zhou, Xu Chen, Weigang Wu, Di Wu, Junshan Zhang. Predictive Online Server Provisioning for Cost-Efficient IoT Data Streaming Across Collaborative Edges. In the Twentieth International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2019), Catania, Italy, July 2-5, 2019.
  17. Min Tang (M. Phil Student), Jiaran Cai (Master Student), Hankz Hankui Zhuo. Multi-Matching Network for Multiple Choice Reading Comprehension. AAAI, 2019.
  18. Zaiqiao Meng, Shangsong Liang*, Jinyuan Fang and Teng Xiao. Semi-supervisedly Co-embedding Attributed Networks. Neural Information Processing Systems 2019, NeurIPS 2019. 
  19. Jing Song, Hong Shen, Zijing Ou , Junyi Zhang , Teng Xiao, and Shangsong Liang. BISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. The 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. 
  20. Qiang Zhang, Shangsong Liang*, Aldo Lipani, Zhaochun Ren, and Emine Yilmaz. From Stances’ Imbalance to their Hierarchical Representation and Detection. In Proceedings of the 28th International World Wide Web Conference,  WWW 2019, San Francisco, 2019. 
  21. Qiang Zhang, Aldo Lipani, Shangsong Liang, and Emine Yilmaz. Reply-aided Detection of Misinformation via Bayesian Deep Learning. In Proceedings of the 28th International World Wide Web Conference,  WWW 2019, San Francisco, 2019.
  22. Shangsong Liang*. Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. In Proceedings of the 28th International World Wide Web Conference,  WWW 2019, San Francisco, 2019.
  23. Xiao Teng, Shangsong Liang*, and Zaiqiao Meng. Hierarchical Neural Variational Model for Personalized Sequential Recommendation. In Proceedings of the 28th International World Wide Web Conference,  WWW 2019, San Francisco, 2019. 
  24. Teng Xiao (master student), Shangsong Liang*, Weizhou Shen, Zaiqiao Meng. Bayesian Deep Collaborative Matrix Factorization. Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019.
  25. Lu Yu (PhD student), Chuxu Zhang, Shangsong Liang, Xiangliang Zhang. Multi-order Attentive Ranking Model for Sequential Recommendation. Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019. 
  26. Shangsong Liang*, Emine Yilmaz, Evangelos Kanoulas. Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE transactions on Knowledge and Data Engineering (TKDE), 31(2), pp. 257-272, 2019. 
  27. Shangsong Liang*. Collaborative, Dynamic and Diversified User Profiling. Thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019. 
  28. Bo Shao, YeyunGong, Jun-Wei Bao, Jianshu Ji, Guihong Cao, Xiaola Lin, Nan Duan, “Weekly Supervised Mutli-task Learning for Semantic Parsing”,Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), pp. 3375-3381.
  29. PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. AAAI 2019: 7152-7159.
  30. Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin. A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation. ACL (1) 2019: 2673-2679.
  31. ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, (IJCAI 2019).
  32. Chao Yu, The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control, IJCAI2019, pp.651-657.