ChengXiang Zhai

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 141

Top Venues

Publications

Bhavya, Shradha Sehgal, Jinjun Xiong, ChengXiang Zhai
AnaDE1.0: A Novel Data Set for Benchmarking Analogy Detection and Extraction. EACL (1) (2024)
Kevin Ros, Kedar Takwane, Ashwin Patil, Rakshana Jayaprakash, ChengXiang Zhai
TextData: Save What You Know and Find What You Don't. SIGIR (2024)
Krisztian Balog, ChengXiang Zhai
User Simulation for Evaluating Information Access Systems. Found. Trends Inf. Retr. 18 (1-2) (2024)
Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai
CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. WSDM (2024)
Kevin Ros, ChengXiang Zhai
Scaling Collaborative Learning: Using the Community Digital Library to Enrich Course Content. SIGCSE (2) (2024)
Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR (2024)
Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, Heng Ji
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. CoRR (2024)
Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI (2024)
ChengXiang Zhai
Large Language Models and Future of Information Retrieval: Opportunities and Challenges. SIGIR (2024)
Navid Mehrdad, Hrushikesh Mohapatra, Mossaab Bagdouri, Prijith Chandran, Alessandro Magnani, Xunfan Cai, Ajit Puthenputhussery, Sachin Yadav, Tony Lee, ChengXiang Zhai, Ciya Liao
Large Language Models for Relevance Judgment in Product Search. CoRR (2024)
Krisztian Balog, ChengXiang Zhai
Tutorial on User Simulation for Evaluating Information Access Systems on the Web. WWW (Companion Volume) (2024)
Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji
Measuring the Effect of Influential Messages on Varying Personas. CoRR (2023)
Kevin Ros, Matthew Jin, Jacob Levine, ChengXiang Zhai
Retrieving Webpages Using Online Discussions. ICTIR (2023)
Chenkai Sun, Jinning Li, Yi R. Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. CoRR (2023)
Daniel Campos, Surya Kallumadi, Corby Rosset, ChengXiang Zhai, Alessandro Magnani
Overview of the TREC 2023 Product Product Search Track. CoRR (2023)
Daniel Campos, ChengXiang Zhai
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval. CoRR (2023)
Kowshika Sarker, Ruoqing Zhu, Hannah D. Holscher, ChengXiang Zhai
Augmenting nutritional metabolomics with a genome-scale metabolic model for assessment of diet intake. BCB (2023)
Liliang Ren, Mankeerat Sidhu, Qi Zeng, Revanth Gangi Reddy, Heng Ji, ChengXiang Zhai
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation. CoRR (2023)
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. ACL (1) (2023)
Revanth Gangi Reddy, Hao Bai, Wentao Yao, Sharath Chandra Etagi Suresh, Heng Ji, ChengXiang Zhai
Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations. EMNLP (Findings) (2023)
Krisztian Balog, ChengXiang Zhai
Tutorial on User Simulation for Evaluating Information Access Systems. CIKM (2023)
Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai, Heng Ji
Measuring the Effect of Influential Messages on Varying Personas. ACL (2) (2023)
Daniel Campos, ChengXiang Zhai, Alessandro Magnani
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training. CoRR (2023)
Yifan Li, ChengXiang Zhai
An Exploration of Large Language Models for Verification of News Headlines. ICDM (Workshops) (2023)
Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai
Exploring Large Language Models for Low-Resource IT Information Extraction. ICDM (Workshops) (2023)
Tuan Manh Lai, ChengXiang Zhai, Heng Ji
KEBLM: Knowledge-Enhanced Biomedical Language Models. J. Biomed. Informatics 143 (2023)
Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. AAAI (2023)
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
Sparse Modular Activation for Efficient Sequence Modeling. CoRR (2023)
Krisztian Balog, ChengXiang Zhai
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP (2023)
Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. SustaiNLP (2023)
Kevin Ros, ChengXiang Zhai
The CDL: An Online Platform for Creating Community-based Digital Libraries. CSCW Companion (2023)
Daniel Campos, ChengXiang Zhai
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. CoRR (2023)
Revanth Gangi Reddy, Hao Bai, Wentao Yao, Sharath Chandra Etagi Suresh, Heng Ji, ChengXiang Zhai
Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations. CoRR (2023)
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
Sparse Modular Activation for Efficient Sequence Modeling. NeurIPS (2023)
Adam Davies, Jize Jiang, ChengXiang Zhai
Competence-Based Analysis of Language Models. CoRR (2023)
Daniel Campos, Alessandro Magnani, ChengXiang Zhai
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders. CoRR (2023)
Krisztian Balog, ChengXiang Zhai
User Simulation for Evaluating Information Access Systems. CoRR (2023)
Chenkai Sun, Jinning Li, Yi Ren Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. EMNLP (2023)
Daniel Campos, Alexandre Marques, Mark Kurtz, ChengXiang Zhai
oBERTa: Improving Sparse Transfer Learning via improved initialization, distillation, and pruning regimes. CoRR (2023)
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)
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)
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) (2022)
Daniel Campos, Alexandre Marques, Tuan Nguyen, Mark Kurtz, ChengXiang Zhai
Sparse*BERT: Sparse Models are Robust. CoRR (2022)
Tuan Lai, Heng Ji, ChengXiang Zhai
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. ACL (Findings) (2022)
Sahiti Labhishetty, ChengXiang Zhai
PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation. ICTIR (2022)
Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. CoRR (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
Domain Representative Keywords Selection: A Probabilistic Approach. CoRR (2022)
Chenkai Sun, Tie Xu, ChengXiang Zhai, Heng Ji
Incorporating Task-specific Concept Knowledge into Script Learning. CoRR (2022)
Assma Boughoula, Kevin Ros, ChengXiang Zhai
An Optimization Approach to Automatic Construction of Browsable Concept Index for Organizing Online Educational Content. ICKG (2022)
Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han
Entity Set Co-Expansion in StackOverflow. CoRR (2022)
Tuan Manh Lai, Heng Ji, ChengXiang Zhai
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking. CoRR (2022)
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)
Kung-Hsiang Huang, ChengXiang Zhai, Heng Ji
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval. COLING (2022)
Priyanka Dey, ChengXiang Zhai
Fine Grained Categorization of Drug Usage Tweets. HCI (14) (2022)
Liliang Ren, Zixuan Zhang, Han Wang, R. Clare Voss, ChengXiang Zhai, Heng Ji
Language Model Pre-Training with Sparse Latent Typing. EMNLP (2022)
Sahiti Labhishetty, ChengXiang Zhai
RATE: A Reliability-Aware Tester-Based Evaluation Framework of User Simulators. ECIR (1) (2022)
ChengXiang Zhai
I3A: An Intelligent Interactive Information Agent Model for Information Retrieval. ICTIR (2022)
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)
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)
Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong
Neural-Answering Logical Queries on Knowledge Graphs. KDD (2021)
Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. BIBM (2021)
Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji
Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation. CoRR (2021)
Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai
Towards Dark Jargon Interpretation in Underground Forums. ECIR (2) (2021)
Saar Kuzi, ChengXiang Zhai
A Study of Distributed Representations for Figures of Research Articles. ECIR (1) (2021)
Tuan 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)
Tuan Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. ACL/IJCNLP (1) (2021)
Dominic Seyler, Wei Liu, Yunan Zhang, XiaoFeng Wang, ChengXiang Zhai
DarkJargon.net: A Platform for Understanding Underground Conversation with Latent Meaning. SIGIR (2021)
Carl Edwards, ChengXiang Zhai, Heng Ji
Text2Mol: Cross-Modal Molecule Retrieval with Natural Language Queries. EMNLP (1) (2021)
Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. CoRR (2021)
Tuan Lai, Heng Ji, ChengXiang Zhai
BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks. CoRR (2021)
Dominic Seyler, ChengXiang Zhai
A Study of Methods for the Generation of Domain-Aware Word Embeddings. SIGIR (2020)
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 (2020)
Bhavya, Assma Boughoula, Aaron Green, ChengXiang Zhai
Collective Development of Large Scale Data Science Products via Modularized Assignments: An Experience Report. SIGCSE (2020)
Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Transductive Ensemble Learning for Neural Machine Translation. AAAI (2020)
Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai
Towards Dark Jargon Interpretation in Underground Forums. CoRR (2020)
Saar Kuzi, ChengXiang Zhai, Yin Tian, Haichuan Tang
FigExplorer: A System for Retrieval and Exploration of Figures from Collections of Research Articles. SIGIR (2020)
Dominic Seyler, Lunan Li, ChengXiang Zhai
Semantic Text Analysis for Detection of Compromised Accounts on Social Networks. ASONAM (2020)
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)
Yiren Wang, ChengXiang Zhai, Hany Hassan
Multi-task Learning for Multilingual Neural Machine Translation. EMNLP (1) (2020)
ChengXiang Zhai
Interactive Information Retrieval: Models, Algorithms, and Evaluation. SIGIR (2020)
Assma Boughoula, Aidan San, ChengXiang Zhai
Leveraging Book Indexes for Automatic Extraction of Concepts in MOOCs. L@S (2020)
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)
Dominic Seyler, Jiaming Shen, Jinfeng Xiao, Yiren Wang, ChengXiang Zhai
Leveraging Personalized Sentiment Lexicons for Sentiment Analysis. ICTIR (2020)
Yiren Wang, ChengXiang Zhai, Hany Hassan Awadalla
Multi-task Learning for Multilingual Neural Machine Translation. CoRR (2020)
Dominic Seyler, Paul Bruin, Pavan Bayyapu, ChengXiang Zhai
Finding Contextually Consistent Information Units in Legal Text. NLLP@KDD (2020)
Yinan Zhang, Parikshit Sondhi, Anjan Goswami, ChengXiang Zhai
Towards a Soft Faceted Browsing Scheme for Information Access. CoRR (2020)
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 (2020)
Bhavya, ChengXiang Zhai
Explanation Mining. L@S (2020)
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR (2019)
Saar Kuzi, William W. Cope, Duncan C. Ferguson, Chase Geigle, ChengXiang Zhai
Automatic Assessment of Complex Assignments using Topic Models. L@S (2019)
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)
Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
Adapting Sequence to Sequence Models for Text Normalization in Social Media. ICWSM (2019)
Shubhra Kanti Karmaker Santu, Parikshit Sondhi, ChengXiang Zhai
On Application of Learning to Rank for E-Commerce Search. CoRR (2019)
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 (2019)
Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Non-Autoregressive Machine Translation with Auxiliary Regularization. CoRR (2019)
Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
Adapting Sequence to Sequence models for Text Normalization in Social Media. CoRR (2019)
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)
Aaron Green, ChengXiang Zhai
LiveDataLab: A Cloud-Based Platform to Facilitate Hands-on Data Science Education at Scale. L@S (2019)
Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Multi-Agent Dual Learning. ICLR (Poster) (2019)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

ChengXiang Zhai