Chengxiang Zhai

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 53

Top Topics

Information Retrieval

Citation Analysis

Adverse Drug Reactions

Top Venues

Publications

Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. CoRR (2024)
Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, Chengxiang Zhai, Klara Nahrstedt, Zhiting Hu
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. CoRR (2024)
Yiran Liu, Ke Yang, Zehan Qi, Xiao Liu, Yang Yu, Chengxiang Zhai
Prejudice and Caprice: A Statistical Framework for Measuring Social Discrimination in Large Language Models. CoRR (2024)
Daniel Campos, Alessandro Magnani, Chengxiang Zhai
Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders. SustaiNLP (2023)
Jiayu Liu, Zhenya Huang, Chengxiang Zhai, Qi Liu
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. CoRR (2023)
Bhavya, Jinjun Xiong, Chengxiang Zhai
CAM: A Large Language Model-based Creative Analogy Mining Framework. WWW (2023)
Chenkai Sun, Tie Xu, Chengxiang Zhai, Heng Ji
Incorporating Task-Specific Concept Knowledge into Script Learning. EACL (2023)
Daniel Campos, Chengxiang Zhai
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. SustaiNLP (2023)
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) (2022)
Liliang Ren, Zixuan Zhang, Han Wang, Clare R. Voss, Chengxiang Zhai, Heng Ji
Language Model Pre-Training with Sparse Latent Typing. CoRR (2022)
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 (2022)
Bhavya, Jinjun Xiong, Chengxiang Zhai
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT. CoRR (2022)
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)
Kevin Ros, Carl Edwards, Heng Ji, Chengxiang Zhai
Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial Questions. CLEF (Working Notes) (2021)
Sahiti Labhishetty, Chengxiang Zhai
An Exploration of Tester-based Evaluation of User Simulators for Comparing Interactive Retrieval Systems. SIGIR (2021)
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)
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)
Bhavya, Jinfeng Xiao, Chengxiang Zhai
Scaling Up Data Science Course Projects: A Case Study. L@S (2021)
Chengxiang Zhai
Interactive Information Retrieval: Models, Algorithms, and Evaluation. SIGIR (2021)
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 (2021)
Enrique Amigó, Hui Fang, Stefano Mizzaro, Chengxiang Zhai
Axiomatic thinking for information retrieval: introduction to special issue. Inf. Retr. J. 23 (3) (2020)
Alex Morales, Kanika Narang, Hari Sundaram, Chengxiang Zhai
CrowdQM: Learning Aspect-Level User Reliability and Comment Trustworthiness in Discussion Forums. PAKDD (1) (2020)
Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra
Learning to Diversify for E-commerce Search with Multi-Armed Bandit. eCOM@SIGIR (2019)
Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai
Non-local Attention Learning on Large Heterogeneous Information Networks. IEEE BigData (2019)
Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai
WOSView Demo: A Tool to Explore the Web of Slides. L@S (2019)
Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni, Chengxiang Zhai
TILM: Neural Language Models with Evolving Topical Influence. CoNLL (2019)
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)
Yunan Zhang, Xiang Cheng, Heting Gao, Chengxiang Zhai
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach. CoRR (2019)
Sahiti Labhishetty, Bhavya, Kevin Pei, Assma Boughoula, Chengxiang Zhai
Web of Slides: Automatic Linking of Lecture Slides to Facilitate Navigation. L@S (2019)
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 (2019)
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)
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR (2018)
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)
Xueqing Liu, Yue Leng, Wei Yang, Chengxiang Zhai, Tao Xie
Mining Android App Descriptions for Permission Requirements Recommendation. RE (2018)
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. CoRR (2018)
Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra
Towards Optimization of e-Commerce Search and Discovery. eCOM@SIGIR (2018)
Fareedah Alsaad, Assma Boughoula, Chase Geigle, Hari Sundaram, Chengxiang Zhai
Mining MOOC Lecture Transcripts to Construct Concept Dependency Graphs. EDM (2018)
Anjan Goswami, Chengxiang Zhai, Prasant Mohapatra
Learning to Rank and Discover for E-Commerce Search. MLDM (2) (2018)
Shan Jiang, Chengxiang Zhai, Qiaozhu Mei
Exploiting Knowledge Graph to Improve Text-based Prediction. IEEE BigData (2018)
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) (2018)
Xiaolong Wang, Jingjing Wang, Chengxiang Zhai
Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding. AAAI (2017)
Peilin Yang, Mianwei Zhou, Yi Chang, Chengxiang Zhai, Hui Fang
Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets. AIRS (2017)
Chengxiang Zhai, John D. Lafferty
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. SIGIR Forum 51 (2) (2017)
Chase Geigle, Chengxiang Zhai
Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models. EDM (2017)
Alex Morales, Chengxiang Zhai
Identifying Humor in Reviews using Background Text Sources. EMNLP (2017)
Peng Bao, Chengxiang Zhai
Dynamic credit allocation in scientific literature. Scientometrics 112 (1) (2017)
John D. Lafferty, Chengxiang Zhai
Document Language Models, Query Models, and Risk Minimization for Information Retrieval. SIGIR Forum 51 (2) (2017)
Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, Chengxiang Zhai
Temporal reflected logistic regression for probabilistic heart failure survival score prediction. BIBM (2017)
Rongda Zhu, Lingxiao Wang, Chengxiang Zhai, Quanquan Gu
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm. ICML (2017)
Shengwen Peng, Ronghui You, Hongning Wang, Chengxiang Zhai, Hiroshi Mamitsuka, Shanfeng Zhu
DeepMeSH: deep semantic representation for improving large-scale MeSH indexing. Bioinform. 32 (12) (2016)
Sean Massung, Chengxiang Zhai
Non-native text analysis: A survey. Nat. Lang. Eng. 22 (2) (2016)
Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang
Blind Men and The Elephant: Thurstonian Pairwise Preference for Ranking in Crowdsourcing. ICDM (2016)
Rongda Zhu, Aston Zhang, Jian Peng, Chengxiang Zhai
Exploiting temporal divergence of topic distributions for event detection. IEEE BigData (2016)
Yinan Zhang, Chengxiang Zhai
Information Retrieval as Card Playing: A Formal Model for Optimizing Interactive Retrieval Interface. SIGIR (2015)
Jason H. D. Cho, Yanen Li, Roxana Girju, Chengxiang Zhai
Recommending forum posts to designated experts. IEEE BigData (2015)
Thomas Zhang, Jason H. D. Cho, Chengxiang Zhai
Understanding User Intents in Online Health Forums. IEEE J. Biomed. Health Informatics 19 (4) (2015)
Jason H. D. Cho, Parikshit Sondhi, Chengxiang Zhai, Bruce R. Schatz
Resolving healthcare forum posts via similar thread retrieval. BCB (2014)
Ying Ding, Guo Zhang, Tamy Chambers, Min Song, Xiaolong Wang, Chengxiang Zhai
Content-based citation analysis: The next generation of citation analysis. J. Assoc. Inf. Sci. Technol. 65 (9) (2014)
Ke Liu, Junqiu Wu, Shengwen Peng, Chengxiang Zhai, Shanfeng Zhu
The Fudan-UIUC Participation in the BioASQ Challenge Task 2a: The Antinomyra system. CLEF (Working Notes) (2014)
Sheng Wang, Yanen Li, Duncan C. Ferguson, Chengxiang Zhai
SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums. BCB (2014)
Thomas Zhang, Jason H. D. Cho, Chengxiang Zhai
Understanding user intents in online health forums. BCB (2014)
Sean Massung, Chengxiang Zhai, Julia Hockenmaier
Structural Parse Tree Features for Text Representation. ICSC (2013)
Xiaolong Wang, Chengxiang Zhai, Dan Roth
Understanding evolution of research themes: a probabilistic generative model for citations. KDD (2013)
Fangbo Tao, Kin Hou Lei, Jiawei Han, Chengxiang Zhai, Xiao Cheng, Marina Danilevsky, Nihit Desai, Bolin Ding, Jing Ge, Heng Ji, Rucha Kanade, Anne Kao, Qi Li, Yanen Li, Cindy Xide Lin, Jialu Liu, Nikunj C. Oza, Ashok N. Srivastava, Rodney Tjoelker, Chi Wang, Duo Zhang, Bo Zhao
EventCube: multi-dimensional search and mining of structured and text data. KDD (2013)
Chi Wang, Xiao Yu, Yanen Li, Chengxiang Zhai, Jiawei Han
Content coverage maximization on word networks for hierarchical topic summarization. CIKM (2013)
Mingjie Qian, Chengxiang Zhai
Robust Unsupervised Feature Selection. IJCAI (2013)
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, Ashok N. Srivastava, Nikunj C. Oza
Efficient Keyword-Based Search for Top-K Cells in Text Cube. IEEE Trans. Knowl. Data Eng. 23 (12) (2011)
Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang
Geographical topic discovery and comparison. WWW (2011)
Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, Thomas S. Huang
LPTA: A Probabilistic Model for Latent Periodic Topic Analysis. ICDM (2011)
Huizhong Duan, Chengxiang Zhai
Exploiting Thread Structures to Improve Smoothing of Language Models for Forum Post Retrieval. ECIR (2011)
Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee, Chengxiang Zhai, Bruce R. Schatz
Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model. BMC Bioinform. 11 (2010)
Hongning Wang, Yue Lu, Chengxiang Zhai
Latent aspect rating analysis on review text data: a rating regression approach. KDD (2010)
Tie-Yan Liu, Thorsten Joachims, Hang Li, Chengxiang Zhai
Introduction to special issue on learning to rank for information retrieval. Inf. Retr. 13 (3) (2010)
Chengxiang Zhai, Kuansan Wang, David Yarowsky, Stephan Vogel, Evelyne Viegas
Web N-gram workshop 2010. SIGIR Forum 44 (2) (2010)
Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai
Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents. CIDU (2010)
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai
TopCells: Keyword-based search of top-k aggregated documents in text cube. ICDE (2010)
Jing He, Chengxiang Zhai, Xiaoming Li
Evaluation of methods for relative comparison of retrieval systems based on clickthroughs. CIKM (2009)
Yue Lu, Hui Fang, Chengxiang Zhai
An empirical study of gene synonym query expansion in biomedical information retrieval. Inf. Retr. 12 (1) (2009)
Bo Jin, Brian Muller, Chengxiang Zhai, Xinghua Lu
Multi-label literature classification based on the Gene Ontology graph. BMC Bioinform. 9 (2008)
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai
Modeling hidden topics on document manifold. CIKM (2008)
Yue Lu, Chengxiang Zhai
Opinion integration through semi-supervised topic modeling. WWW (2008)
Xuanhui Wang, Tao Tao, Jian-Tao Sun, Azadeh Shakery, Chengxiang Zhai
DirichletRank: Solving the zero-one gap problem of PageRank. ACM Trans. Inf. Syst. 26 (2) (2008)
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxiang Zhai, Bruce R. Schatz
Generating gene summaries from biomedical literature: A study of semi-structured summarization. Inf. Process. Manag. 43 (6) (2007)
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Chengxiang Zhai
Semantic annotation of frequent patterns. ACM Trans. Knowl. Discov. Data 1 (3) (2007)
Younhee Ko, Chengxiang Zhai, Sandra L. Rodriguez-Zas
Inference of Gene Pathways Using Gaussian Mixture Models. BIBM (2007)
Jing Jiang, Chengxiang Zhai
Extraction of coherent relevant passages using hidden Markov models. ACM Trans. Inf. Syst. 24 (3) (2006)
Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai
Have things changed now?: an empirical study of bug characteristics in modern open source software. ASID (2006)
Rong Jin, Luo Si, Chengxiang Zhai
A study of mixture models for collaborative filtering. Inf. Retr. 9 (3) (2006)
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan
Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinform. 5 (2004)