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2020 – today
- 2023
[j3]Junchi Yan
, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang:
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1634-1638 (2023)- 2020
- [j2]Junchi Yan, Xiaoyong Pan, Liangda Li, Changsheng Li, Peng Cui, Chao Ma:
IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications. IEEE Access 8: 210167-210170 (2020) - [c17]Kai Shu, Liangda Li, Suhang Wang, Yunhong Zhou, Huan Liu:
Joint Local and Global Sequence Modeling in Temporal Correlation Networks for Trending Topic Detection. WebSci 2020: 335-344
2010 – 2019
- 2019
- [c16]Junchi Yan, Hongteng Xu, Liangda Li:
Modeling and Applications for Temporal Point Processes. KDD 2019: 3227-3228 - [c15]Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, Wei Wang:
Click Feedback-Aware Query Recommendation Using Adversarial Examples. WWW 2019: 2978-2984 - [i1]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR abs/1903.00562 (2019) - 2018
- [j1]Liangda Li, Hongyuan Zha:
Energy Usage Behavior Modeling in Energy Disaggregation via Hawkes Processes. ACM Trans. Intell. Syst. Technol. 9(3): 36:1-36:22 (2018) - [c14]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM 2018: 637-646 - 2017
- [c13]Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM 2017: 131-139 - [c12]Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai:
Modeling the Influence of Popular Trending Events on User Search Behavior. WWW (Companion Volume) 2017: 535-544 - [c11]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha:
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW 2017: 539-548 - 2016
- [c10]Liangda Li, Hongyuan Zha:
Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation. IJCAI 2016: 2553-2559 - [c9]Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha:
Behavior Driven Topic Transition for Search Task Identification. WWW 2016: 555-565 - 2015
- [b1]Liangda Li:
Influence modeling in behavioral data. Georgia Institute of Technology, Atlanta, GA, USA, 2015 - [c8]Liangda Li, Hongyuan Zha:
Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process. AAAI 2015: 672-678 - [c7]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates:
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR 2015: 123-132 - 2014
- [c6]Liangda Li, Hongyuan Zha:
Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes. AAAI 2014: 101-107 - [c5]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha:
Identifying and labeling search tasks via query-based hawkes processes. KDD 2014: 731-740 - 2013
- [c4]Liangda Li, Hongyuan Zha:
Dyadic event attribution in social networks with mixtures of hawkes processes. CIKM 2013: 1667-1672 - 2012
- [c3]Liangda Li, Guy Lebanon, Haesun Park:
Fast bregman divergence NMF using taylor expansion and coordinate descent. KDD 2012: 307-315 - 2011
- [c2]Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu:
Video summarization via transferrable structured learning. WWW 2011: 287-296
2000 – 2009
- 2009
- [c1]Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu:
Enhancing diversity, coverage and balance for summarization through structure learning. WWW 2009: 71-80
Coauthor Index
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