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ORCIDChengXiang Zhai
Chengxiang Zhai
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- affiliation: University of Illinois, USA
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2020 – today
- 2023
[c316]Chenkai Sun, Tie Xu, Chengxiang Zhai, Heng Ji:
Incorporating Task-Specific Concept Knowledge into Script Learning. EACL 2023: 3018-3032- [c315]Bhavya
, Jinjun Xiong, Chengxiang Zhai:
CAM: A Large Language Model-based Creative Analogy Mining Framework. WWW 2023: 3903-3914 - [i41]Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu:
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. CoRR abs/2302.05717 (2023) - [i40]Adam Davies, Jize Jiang, ChengXiang Zhai:
Competence-Based Analysis of Language Models. CoRR abs/2303.00333 (2023) - [i39]Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai:
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. CoRR abs/2303.17612 (2023) - [i38]Daniel Campos, ChengXiang Zhai:
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval. CoRR abs/2304.00114 (2023) - [i37]Daniel Campos, Alessandro Magnani, ChengXiang Zhai:
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders. CoRR abs/2304.01016 (2023) - [i36]Daniel Campos, ChengXiang Zhai:
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. CoRR abs/2304.02721 (2023) - [i35]Daniel Campos, ChengXiang Zhai, Alessandro Magnani:
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training. CoRR abs/2304.03401 (2023) - [i34]Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Measuring the Effect of Influential Messages on Varying Personas. CoRR abs/2305.16470 (2023) - 2022
- [j64]Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, Chengxiang Zhai, Kalyan Veeramachaneni:
AutoML to Date and Beyond: Challenges and Opportunities. ACM Comput. Surv. 54(8): 175:1-175:36 (2022) - [j63]Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang:
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [c314]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai:
Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) 2022: 679-692 - [c313]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. ACL (Findings) 2022: 3696-3711 - [c312]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. Big Data 2022: 4792-4795 - [c311]Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji:
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. COLING 2022: 1024-1035 - [c310]Sahiti Labhishetty, ChengXiang Zhai:
RATE: A Reliability-Aware Tester-Based Evaluation Framework of User Simulators. ECIR (1) 2022: 336-350 - [c309]Liliang Ren, Zixuan Zhang, Han Wang, R. Clare Voss, ChengXiang Zhai, Heng Ji:
Language Model Pre-Training with Sparse Latent Typing. EMNLP 2022: 1480-1494 - [c308]Priyanka Dey, ChengXiang Zhai:
Fine Grained Categorization of Drug Usage Tweets. HCI (14) 2022: 267-280 - [c307]Assma Boughoula, Kevin Ros, ChengXiang Zhai:
An Optimization Approach to Automatic Construction of Browsable Concept Index for Organizing Online Educational Content. ICKG 2022: 22-31 - [c306]ChengXiang Zhai:
I3A: An Intelligent Interactive Information Agent Model for Information Retrieval. ICTIR 2022: 2 - [c305]Sahiti Labhishetty, ChengXiang Zhai:
PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation. ICTIR 2022: 51-60 - [c304]Arkin Dharawat, Ismini Lourentzou, Alex Morales, ChengXiang Zhai:
Drink Bleach or Do What Now? COVID-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation. ICWSM 2022: 1218-1227 - [c303]Sandeep Puthanveetil Satheesan, Bhavya, Adam Davies, Alan B. Craig, Yu Zhang, ChengXiang Zhai:
Toward a big data analysis system for historical newspaper collections research. PASC 2022: 12:1-12:11 - [c302]Sahiti Labhishetty, ChengXiang Zhai, Min Xie, Lin Gong, Rahul Sharnagat, Satya Chembolu:
Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search Logs. WSDM 2022: 535-543 - [i33]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. CoRR abs/2202.13404 (2022) - [i32]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai:
Domain Representative Keywords Selection: A Probabilistic Approach. CoRR abs/2203.10365 (2022) - [i31]Daniel Campos, Alexandre Marques, Tuan Nguyen, Mark Kurtz, ChengXiang Zhai:
Sparse*BERT: Sparse Models are Robust. CoRR abs/2205.12452 (2022) - [i30]Chenkai Sun, Tie Xu, ChengXiang Zhai, Heng Ji:
Incorporating Task-specific Concept Knowledge into Script Learning. CoRR abs/2209.00068 (2022) - [i29]Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji:
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. CoRR abs/2209.02071 (2022) - [i28]Bhavya, Jinjun Xiong, Chengxiang Zhai:
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. CoRR abs/2210.04186 (2022) - [i27]Liliang Ren, Zixuan Zhang, Han Wang, Clare R. Voss, Chengxiang Zhai, Heng Ji:
Language Model Pre-Training with Sparse Latent Typing. CoRR abs/2210.12582 (2022) - [i26]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, Chengxiang Zhai, Yunyao Li:
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. CoRR abs/2211.08228 (2022) - [i25]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. CoRR abs/2212.02271 (2022) - 2021
- [c301]Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. ACL/IJCNLP (1) 2021: 6248-6260 - [c300]Sahiti Labhishetty, Ismini Lourentzou, Michael Jeffrey Volk, Shekhar Mishra, Huimin Zhao, Chengxiang Zhai:
TriGORank: A Gene Ontology Enriched Learning-to-Rank Framework for Trigenic Fitness Prediction. BIBM 2021: 1841-1848 - [c299]Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji:
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. BIBM 2021: 1984-1991 - [c298]Kevin Ros, Carl Edwards, Heng Ji, Chengxiang Zhai:
Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial Questions. CLEF (Working Notes) 2021: 2441-2454 - [c297]Saar Kuzi, ChengXiang Zhai:
A Study of Distributed Representations for Figures of Research Articles. ECIR (1) 2021: 284-297 - [c296]Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai:
Towards Dark Jargon Interpretation in Underground Forums. ECIR (2) 2021: 393-400 - [c295]Carl Edwards, ChengXiang Zhai, Heng Ji:
Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries. EMNLP (1) 2021: 595-607 - [c294]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. EMNLP (Findings) 2021: 1631-1639 - [c293]Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong:
Neural-Answering Logical Queries on Knowledge Graphs. KDD 2021: 1087-1097 - [c292]Bhavya, Jinfeng Xiao, Chengxiang Zhai:
Scaling Up Data Science Course Projects: A Case Study. L@S 2021: 311-314 - [c291]Ismini Lourentzou, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad DeLuca, Steven R. Welch, Chengxiang Zhai:
AdaReNet: Adaptive Reweighted Semi-supervised Active Learning to Accelerate Label Acquisition. PETRA 2021: 431-438 - [c290]Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. SIGIR 2021: 1389-1399 - [c289]Sahiti Labhishetty, Chengxiang Zhai:
An Exploration of Tester-based Evaluation of User Simulators for Comparing Interactive Retrieval Systems. SIGIR 2021: 1598-1602 - [c288]Dominic Seyler, Wei Liu, Yunan Zhang, XiaoFeng Wang, ChengXiang Zhai:
DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning. SIGIR 2021: 2526-2530 - [c287]Chengxiang Zhai:
Interactive Information Retrieval: Models, Algorithms, and Evaluation. SIGIR 2021: 2662-2665 - [i24]Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, Chengxiang Zhai, Alexander G. Schwing:
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization. CoRR abs/2105.06441 (2021) - [i23]Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran:
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. CoRR abs/2105.13456 (2021) - [i22]Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji:
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. CoRR abs/2108.12899 (2021) - [i21]Tuan Manh Lai, Heng Ji, ChengXiang Zhai:
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. CoRR abs/2109.02237 (2021) - 2020
- [j62]Enrique Amigó, Hui Fang, Stefano Mizzaro, Chengxiang Zhai:
Axiomatic thinking for information retrieval: introduction to special issue. Inf. Retr. J. 23(3): 187-190 (2020) - [c286]Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. AAAI 2020: 6291-6298 - [c285]Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, ChengXiang Zhai:
Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract). AAAI 2020: 13787-13788 - [c284]Dominic Seyler, Lunan Li, ChengXiang Zhai:
Semantic Text Analysis for Detection of Compromised Accounts on Social Networks. ASONAM 2020: 417-424 - [c283]Shubhra (Santu) K. Karmaker, Parikshit Sondhi, ChengXiang Zhai:
Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods. CIKM 2020: 3281-3284 - [c282]Yiren Wang, ChengXiang Zhai, Hany Hassan:
Multi-task Learning for Multilingual Neural Machine Translation. EMNLP (1) 2020: 1022-1034 - [c281]Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai:
Leveraging Personalized Sentiment Lexicons for Sentiment Analysis. ICTIR 2020: 109-112 - [c280]Dominic Seyler, Paul Bruin, Pavan Bayyapu, ChengXiang Zhai:
Finding Contextually Consistent Information Units in Legal Text. NLLP@KDD 2020: 48-51 - [c279]Bhavya, ChengXiang Zhai:
Explanation Mining. L@S 2020: 321-324 - [c278]Assma Boughoula, Aidan San, ChengXiang Zhai:
Leveraging Book Indexes for Automatic Extraction of Concepts in MOOCs. L@S 2020: 381-384 - [c277]Alex Morales, Kanika Narang, Hari Sundaram, Chengxiang Zhai:
CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. PAKDD (1) 2020: 592-605 - [c276]Bhavya, Assma Boughoula, Aaron Green, ChengXiang Zhai:
Collective Development of Large Scale Data Science Products via Modularized Assignments: An Experience Report. SIGCSE 2020: 1200-1206 - [c275]Dominic Seyler, ChengXiang Zhai:
A Study of Methods for the Generation of Domain-Aware Word Embeddings. SIGIR 2020: 1609-1612 - [c274]Saar Kuzi, ChengXiang Zhai, Yin Tian, Haichuan Tang:
FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles. SIGIR 2020: 2133-2136 - [c273]ChengXiang Zhai:
Interactive Information Retrieval: Models, Algorithms, and Evaluation. SIGIR 2020: 2444-2447 - [e9]Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents] - [i20]Yinan Zhang, Parikshit Sondhi, Anjan Goswami, ChengXiang Zhai:
Towards a Soft Faceted Browsing Scheme for Information Access. CoRR abs/2002.08577 (2020) - [i19]Yiren Wang, ChengXiang Zhai, Hany Hassan Awadalla:
Multi-task Learning for Multilingual Neural Machine Translation. CoRR abs/2010.02523 (2020) - [i18]Arkin Dharawat, Ismini Lourentzou, Alex Morales, ChengXiang Zhai:
Drink bleach or do what now? Covid-HeRA: A dataset for risk-informed health decision making in the presence of COVID19 misinformation. CoRR abs/2010.08743 (2020) - [i17]Shubhra Kanti Karmaker Santu, Md. Mahadi Hassan, Micah J. Smith, Lei Xu, ChengXiang Zhai, Kalyan Veeramachaneni:
A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities. CoRR abs/2010.10777 (2020) - [i16]Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai:
Towards Dark Jargon Interpretation in Underground Forums. CoRR abs/2011.03011 (2020)
2010 – 2019
- 2019
- [c272]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. AAAI 2019: 5377-5384 - [c271]Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai:
Non-local Attention Learning on Large Heterogeneous Information Networks. IEEE BigData 2019: 978-987 - [c270]Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu:
Exploring Multi-Objective Exercise Recommendations in Online Education Systems. CIKM 2019: 1261-1270 - [c269]Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi, ChengXiang Zhai:
Analysis of Adaptive Training for Learning to Rank in Information Retrieval. CIKM 2019: 2325-2328 - [c268]Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, Chengxiang Zhai:
TILM: Neural Language Models with Evolving Topical Influence. CoNLL 2019: 778-788 - [c267]Saar Kuzi, ChengXiang Zhai:
Figure Retrieval from Collections of Research Articles. ECIR (1) 2019: 696-710 - [c266]Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Multi-Agent Dual Learning. ICLR (Poster) 2019 - [c265]Chase Geigle, Himel Dev, Hari Sundaram, ChengXiang Zhai:
A Generative Model for Discovering Action-Based Roles and Community Role Compositions on Community Question Answering Platforms. ICWSM 2019: 181-192 - [c264]Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai:
Adapting Sequence to Sequence Models for Text Normalization in Social Media. ICWSM 2019: 335-345 - [c263]Saar Kuzi, William W. Cope, Duncan C. Ferguson, Chase Geigle, ChengXiang Zhai:
Automatic Assessment of Complex Assignments using Topic Models. L@S 2019: 13:1-13:10 - [c262]Aaron Green, ChengXiang Zhai:
LiveDataLab: A Cloud-Based Platform to Facilitate Hands-on Data Science Education at Scale. L@S 2019: 51:1-51:2 - [c261]Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai:
Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation. L@S 2019: 54:1-54:4 - [c260]Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai:
WOSView Demo: A Tool to Explore the Web of Slides. L@S 2019: 55:1-55:3 - [c259]Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Neural Machine Translation with Soft Prototype. NeurIPS 2019: 6313-6322 - [c258]Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra:
Learning to Diversify for E-commerce Search with Multi-Armed Bandit. eCOM@SIGIR 2019 - [c257]Saar Kuzi, Abhishek Narwekar, Anusri Pampari, ChengXiang Zhai:
Help Me Search: Leveraging User-System Collaboration for Query Construction to Improve Accuracy for Difficult Queries. SIGIR 2019: 1221-1224 - [c256]Anjan Goswami, Prasant Mohapatra, Chengxiang Zhai:
Quantifying and Visualizing the Demand and Supply Gap from E-commerce Search Data using Topic Models. WWW (Companion Volume) 2019: 348-353 - [i15]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. CoRR abs/1902.10245 (2019) - [i14]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR abs/1903.00562 (2019) - [i13]Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai:
On Application of Learning to Rank for E-Commerce Search. CoRR abs/1903.04263 (2019) - [i12]Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai:
Adapting Sequence to Sequence models for Text Normalization in Social Media. CoRR abs/1904.06100 (2019) - [i11]Yunan Zhang, Xiang Cheng, Yufeng Zhang, Zihan Wang, Zhengqi Fang, Xiaoyan Wang, Zhenya Huang, Chengxiang Zhai:
Learning to Order Sub-questions for Complex Question Answering. CoRR abs/1911.04065 (2019) - [i10]Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng:
Improving N-gram Language Models with Pre-trained Deep Transformer. CoRR abs/1911.10235 (2019) - [i9]Yunan Zhang, Xiang Cheng, Heting Gao, Chengxiang Zhai:
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach. CoRR abs/1912.02206 (2019) - 2018
- [j61]Shubhra Kanti Karmaker Santu, Chase Geigle, Duncan C. Ferguson, William W. Cope, Mary Kalantzis, Duane Searsmith, Chengxiang Zhai:
SOFSAT: Towards a Setlike Operator based Framework for Semantic Analysis of Text. SIGKDD Explor. 20(2): 21-30 (2018) - [c255]Alex Morales, Nupoor Gandhi, Man-pui Sally Chan, Sophie Lohmann, Travis Sanchez, Kathleen A. Brady, Lyle Ungar, Dolores Albarracin, ChengXiang Zhai:
Multi-Attribute Topic Feature Construction for Social Media-based Prediction. IEEE BigData 2018: 1073-1078 - [c254]Shan Jiang, Chengxiang Zhai, Qiaozhu Mei:
Exploiting Knowledge Graph to Improve Text-based Prediction. IEEE BigData 2018: 1407-1416 - [c253]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM 2018: 637-646 - [c252]Fareedah Alsaad, Assma Boughoula, Chase Geigle, Hari Sundaram, Chengxiang Zhai:
Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs. EDM 2018 - [c251]Chase Geigle, Ismini Lourentzou, Hari Sundaram, ChengXiang Zhai:
CLaDS: a cloud-based virtual lab for the delivery of scalable hands-on assignments for practical data science education. ITiCSE 2018: 176-181 - [c250]Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra:
Learning to Rank and Discover for E-Commerce Search. MLDM (2) 2018: 331-346 - [c249]Edward W. Huang, Sheng Wang, ChengXiang Zhai:
VisAGE: Integrating external knowledge into electronic medical record visualization. PSB 2018: 578-589 - [c248]Xueqing Liu, Yue Leng, Wei Yang, Chengxiang Zhai, Tao Xie:
Mining Android App Descriptions for Permission Requirements Recommendation. RE 2018: 147-158 - [c247]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR 2018: 375-384 - [c246]Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai:
Are we on the Right Track?: An Examination of Information Retrieval Methodologies. SIGIR 2018: 997-1000 - [c245]Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra:
Towards Optimization of e-Commerce Search and Discovery. eCOM@SIGIR 2018 - [c244]Parikshit Sondhi, Mohit Sharma, Pranam Kolari, ChengXiang Zhai:
A Taxonomy of Queries for E-commerce Search. SIGIR 2018: 1245-1248 - [c243]ChengXiang Zhai, Chase Geigle:
A Tutorial on Probabilistic Topic Models for Text Data Retrieval and Analysis. SIGIR 2018: 1395-1398 - [c242]Xueqing Liu, Chi Wang, Yue Leng, ChengXiang Zhai:
LinkSO: a dataset for learning to retrieve similar question answer pairs on software development forums. NL4SE@ESEC/SIGSOFT FSE 2018: 2-5 - [c241]Xueqing Liu, Yue Leng, Wei Yang, Wenyu Wang, Chengxiang Zhai, Tao Xie:
A Large-Scale Empirical Study on Android Runtime-Permission Rationale Messages. VL/HCC 2018: 137-146 - [c240]Shubhra Kanti Karmaker Santu, Vincent Bindschaedler, ChengXiang Zhai, Carl A. Gunter:
NRF: A Naive Re-identification Framework. WPES@CCS 2018: 121-132 - [e8]Yi Chang, Chengxiang Zhai, Yan Liu, Yoelle Maarek:
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018. ACM 2018, ISBN 978-1-4503-5581-0 [contents] - [r4]Hui Fang, ChengXiang Zhai:
Web Search Relevance Feedback. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Xuehua Shen, ChengXiang Zhai:
Web Search Result De-duplication and Clustering. Encyclopedia of Database Systems (2nd ed.) 2018 - [i8]