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Ke Zhou 0003
Person information
- affiliation: University of Nottingham, UK
Other persons with the same name
- Ke Zhou — disambiguation page
- Ke Zhou 0001
— Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
- Ke Zhou 0002 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
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2020 – today
- 2024
- [j11]Salvatore Greco, Ke Zhou, Licia Capra, Tania Cerquitelli, Daniele Quercia:
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-25 (2024) - [c49]Robert Nimmo
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? CHI 2024: 317:1-317:13 - [c48]Ke Zhou, Sanja Scepanovic, Daniele Quercia:
Characterizing Fake News Targeting Corporations. ICWSM 2024: 1818-1832 - [c47]Linus W. Dietz
Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities. RecSys 2024: 1131-1135 - [i12]Ke Zhou, Sanja Scepanovic, Daniele Quercia:
Characterizing Fake News Targeting Corporations. CoRR abs/2401.02191 (2024) - [i11]Robert Nimmo, Marios Constantinides, Ke Zhou, Daniele Quercia, Simone Stumpf:
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? CoRR abs/2403.00137 (2024) - [i10]Salvatore Greco, Ke Zhou, Licia Capra, Tania Cerquitelli, Daniele Quercia:
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers. CoRR abs/2407.01697 (2024) - [i9]Linus W. Dietz, Sanja Scepanovic, Ke Zhou, André Felipe Zanella, Daniele Quercia:
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities. CoRR abs/2407.15770 (2024) - 2023
- [j10]Yuan Tian, Ke Zhou, Dan Pelleg:
Characterization and Prediction of Mobile Tasks. ACM Trans. Inf. Syst. 41(1): 13:1-13:39 (2023) - [c46]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Contextual Knowledge Learning for Dialogue Generation. ACL (1) 2023: 7822-7839 - [c45]Ke Zhou, Marios Constantinides, Daniele Quercia, Sanja Scepanovic:
How Circadian Rhythms Extracted from Social Media Relate to Physical Activity and Sleep. ICWSM 2023: 948-959 - [i8]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Contextual Knowledge Learning For Dialogue Generation. CoRR abs/2305.18200 (2023) - 2022
- [j9]Ke Zhou, Marios Constantinides
Predicting Meeting Success With Nuanced Emotions. IEEE Pervasive Comput. 21(2): 51-59 (2022) - [j8]Yuan Tian, Ke Zhou, Dan Pelleg:
What and How long: Prediction of Mobile App Engagement. ACM Trans. Inf. Syst. 40(1): 8:1-8:38 (2022) - 2021
- [j7]Ke Zhou, Luca Maria Aiello
The Language of Situational Empathy. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 13:1-13:19 (2021) - [j6]Ke Zhou, Marios Constantinides
The Role of Different Types of Conversations for Meeting Success. IEEE Pervasive Comput. 20(4): 35-42 (2021) - [j5]Zeyang Liu, Ke Zhou, Max L. Wilson:
Meta-evaluation of Conversational Search Evaluation Metrics. ACM Trans. Inf. Syst. 39(4): 52:1-52:42 (2021) - [j4]Wonyoung So
Humane Visual AI: Telling the Stories Behind a Medical Condition. IEEE Trans. Vis. Comput. Graph. 27(2): 678-688 (2021) - [c44]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Knowledge-Grounded Dialogue Generation with Term-level De-noising. ACL/IJCNLP (Findings) 2021: 2972-2983 - [c43]Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. CIKM 2021: 1119-1129 - [c42]Sanja Scepanovic, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia:
The Healthy States of America: Creating a Health Taxonomy with Social Media. ICWSM 2021: 621-632 - [i7]Sanja Scepanovic, Luca Maria Aiello, Ke Zhou, Sagar Joglekar, Daniele Quercia:
The Healthy States of America: Creating a Health Taxonomy with Social Media. CoRR abs/2103.01169 (2021) - [i6]Zeyang Liu, Ke Zhou, Max L. Wilson:
Meta-evaluation of Conversational Search Evaluation Metrics. CoRR abs/2104.13453 (2021) - [i5]Yuan Tian, Ke Zhou, Dan Pelleg:
What and How long: Prediction of Mobile App Engagement. CoRR abs/2106.01490 (2021) - [i4]Zeyang Liu, Ke Zhou, Jiaxin Mao, Max L. Wilson:
POSSCORE: A Simple Yet Effective Evaluation of Conversational Search with Part of Speech Labelling. CoRR abs/2109.03039 (2021) - 2020
- [c41]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation. EMNLP (Findings) 2020: 3581-3591 - [c40]Yuan Tian, Ke Zhou, Mounia Lalmas, Dan Pelleg:
Identifying Tasks from Mobile App Usage Patterns. SIGIR 2020: 2357-2366 - [c39]Yuan Tian, Ke Zhou, Mounia Lalmas, Yiqun Liu, Dan Pelleg:
Cohort Modeling Based App Category Usage Prediction. UMAP 2020: 248-256 - [c38]Bon Adriel Aseniero, Marios Constantinides, Sagar Joglekar, Ke Zhou, Daniele Quercia:
MeetCues: Supporting Online Meetings Experience. IEEE VIS (Short Papers) 2020: 236-240 - [i3]Luca Maria Aiello, Daniele Quercia, Ke Zhou, Marios Constantinides, Sanja Scepanovic, Sagar Joglekar:
How Epidemic Psychology Works on Social Media: Evolution of responses to the COVID-19 pandemic. CoRR abs/2007.13169 (2020) - [i2]Bon Adriel Aseniero, Marios Constantinides, Sagar Joglekar, Ke Zhou, Daniele Quercia:
MeetCues: Supporting Online Meetings Experience. CoRR abs/2010.06259 (2020) - [i1]Wonyoung So, Edyta Paulina Bogucka, Sanja Scepanovic, Sagar Joglekar, Ke Zhou, Daniele Quercia:
Humane Visual AI: Telling the Stories Behind a Medical Condition. CoRR abs/2010.06296 (2020)
2010 – 2019
- 2019
- [j3]Zhijing Wu, Ke Zhou, Yiqun Liu, Min Zhang, Shaoping Ma:
Does Diversity Affect User Satisfaction in Image Search. ACM Trans. Inf. Syst. 37(3): 35:1-35:30 (2019) - [c37]Haitao Yu, Adam Jatowt
A Rank-biased Neural Network Model for Click Modeling. CHIIR 2019: 183-191 - [c36]Wen Zheng, Ke Zhou:
Enhancing Conversational Dialogue Models with Grounded Knowledge. CIKM 2019: 709-718 - [c35]Weiqiang Lin, Natasa Milic-Frayling, Ke Zhou, Eugene Ch'ng
Predicting Outcomes of Active Sessions Using Multi-action Motifs. WI 2019: 9-17 - [c34]Marc Bron, Ke Zhou, Andy Haines, Mounia Lalmas:
Uncovering Bias in Ad Feedback Data Analyses & Applications✱. WWW (Companion Volume) 2019: 614-623 - 2018
- [c33]Fan Zhang
How Well do Offline and Online Evaluation Metrics Measure User Satisfaction in Web Image Search? SIGIR 2018: 615-624 - [c32]Yingying Wu
Treating Each Intent Equally: The Equilibrium of IA-Select. WWW (Companion Volume) 2018: 113-114 - 2017
- [j2]Beatrice Alex, Claire Grover, Jon Oberlander, Tara Thomson
Palimpsest: Improving assisted curation of loco-specific literature. Digit. Scholarsh. Humanit. 32(suppl_1): i4-i16 (2017) - [c31]Ye Chen, Ke Zhou, Yiqun Liu, Min Zhang, Shaoping Ma:
Meta-evaluation of Online and Offline Web Search Evaluation Metrics. SIGIR 2017: 15-24 - [c30]Cheng Luo, Yiqun Liu, Tetsuya Sakai, Ke Zhou, Fan Zhang
Does Document Relevance Affect the Searcher's Perception of Time? WSDM 2017: 141-150 - [c29]Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma:
Detecting Collusive Spamming Activities in Community Question Answering. WWW 2017: 1073-1082 - 2016
- [c28]Horatiu S. Bota, Ke Zhou, Joemon M. Jose:
Playing Your Cards Right: The Effect of Entity Cards on Search Behaviour and Workload. CHIIR 2016: 131-140 - [c27]Yuli Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma, Yue Yin, Hengliang Luo:
Detecting Promotion Campaigns in Query Auto Completion. CIKM 2016: 125-134 - [c26]Takehiro Yamamoto, Yiqun Liu, Min Zhang, Zhicheng Dou, Ke Zhou, Ilya Markov, Makoto P. Kato, Hiroaki Ohshima, Sumio Fujita:
Overview of the NTCIR-12 IMine-2 Task. NTCIR 2016 - [c25]Jiaxin Mao, Yiqun Liu, Ke Zhou, Jian-Yun Nie
When does Relevance Mean Usefulness and User Satisfaction in Web Search? SIGIR 2016: 463-472 - [c24]Yiqun Liu, Zeyang Liu, Ke Zhou, Meng Wang, Huanbo Luan, Chao Wang
Predicting Search User Examination with Visual Saliency. SIGIR 2016: 619-628 - [c23]Ke Zhou, Yiqun Liu, Roger Jie Luo, Joemon M. Jose:
HIA 2016: The 2nd International Workshop on Heterogeneous Information Access at SIGIR 2016. SIGIR 2016: 1241 - [c22]Ke Zhou, Miriam Redi, Andrew Haines, Mounia Lalmas:
Predicting Pre-click Quality for Native Advertisements. WWW 2016: 299-310 - 2015
- [j1]Aleksandr Chuklin, Anne Schuth, Ke Zhou, Maarten de Rijke
A Comparative Analysis of Interleaving Methods for Aggregated Search. ACM Trans. Inf. Syst. 33(2): 5:1-5:38 (2015) - [c21]Ye Chen, Yiqun Liu, Ke Zhou, Meng Wang, Min Zhang, Shaoping Ma:
Does Vertical Bring more Satisfaction?: Predicting Search Satisfaction in a Heterogeneous Environment. CIKM 2015: 1581-1590 - [c20]Horatiu S. Bota, Ke Zhou, Joemon M. Jose:
Exploring Composite Retrieval from the Users' Perspective. ECIR 2015: 13-24 - [c19]Ke Zhou, Claire Grover, Martin Klein
No More 404s: Predicting Referenced Link Rot in Scholarly Articles for Pro-Active Archiving. JCDL 2015: 233-236 - [c18]Zeyang Liu, Yiqun Liu, Ke Zhou, Min Zhang, Shaoping Ma:
Influence of Vertical Result in Web Search Examination. SIGIR 2015: 193-202 - [c17]Chao Wang
Incorporating Non-sequential Behavior into Click Models. SIGIR 2015: 283-292 - [c16]Ke Zhou, Roger Jie Luo, Djoerd Hiemstra
HIA'15: Heterogeneous Information Access Workshop at WSDM 2015. WSDM 2015: 423-424 - [c15]Thomas Demeester
FedWeb Greatest Hits: Presenting the New Test Collection for Federated Web Search. WWW (Companion Volume) 2015: 27-28 - 2014
- [c14]Yiqun Liu, Chao Wang
From Skimming to Reading: A Two-stage Examination Model for Web Search. CIKM 2014: 849-858 - [c13]Ke Zhou, Thomas Demeester
Aligning Vertical Collection Relevance with User Intent. CIKM 2014: 1915-1918 - [c12]Yiqun Liu, Ruihua Song, Min Zhang, Zhicheng Dou, Takehiro Yamamoto, Makoto P. Kato, Hiroaki Ohshima, Ke Zhou:
Overview of the NTCIR-11 IMine Task. NTCIR 2014 - [c11]Aleksandr Chuklin, Ke Zhou, Anne Schuth
Evaluating intuitiveness of vertical-aware click models. SIGIR 2014: 1075-1078 - [c10]Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou:
Overview of the TREC 2014 Federated Web Search Track. TREC 2014 - [c9]Horatiu S. Bota, Ke Zhou, Joemon M. Jose, Mounia Lalmas:
Composite retrieval of heterogeneous web search. WWW 2014: 119-130 - 2013
- [c8]Ke Zhou, Mounia Lalmas, Tetsuya Sakai, Ronan Cummins, Joemon M. Jose:
On the reliability and intuitiveness of aggregated search metrics. CIKM 2013: 689-698 - [c7]Ke Zhou, Stewart Whiting, Joemon M. Jose
The Impact of Temporal Intent Variability on Diversity Evaluation. ECIR 2013: 820-823 - [c6]Stewart Whiting, Ke Zhou, Joemon M. Jose, Mounia Lalmas:
Temporal variance of intents in multi-faceted event-driven information needs. SIGIR 2013: 989-992 - [c5]Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. Jose:
Which vertical search engines are relevant? WWW 2013: 1557-1568 - 2012
- [c4]Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. Jose
Evaluating reward and risk for vertical selection. CIKM 2012: 2631-2634 - [c3]Stewart Whiting, Ke Zhou, Joemon M. Jose
CrowdTiles: presenting crowd-based information for event-driven information needs. CIKM 2012: 2698-2700 - [c2]Ke Zhou, Ronan Cummins, Martin Halvey, Mounia Lalmas, Joemon M. Jose
Assessing and Predicting Vertical Intent for Web Queries. ECIR 2012: 499-502 - [c1]Ke Zhou, Ronan Cummins, Mounia Lalmas, Joemon M. Jose
Evaluating aggregated search pages. SIGIR 2012: 115-124
Coauthor Index
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last updated on 2024-11-22 19:45 CET by the dblp team
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