A high-performance text-independent speaker identification system based on BCDM. - Qin Jin; Luo Si; Qixiu Hu (ICSLP, 1998)

Two-stage speaker identification system based on VQ and NBDGMM. - Luo Si; Qixiu Hu (INTERSPEECH, 2000)

A Statistical Model for Scientific Readability. - Luo Si; James P. Callan (CIKM, 2001)

A language modeling framework for resource selection and results merging. - Luo Si; Rong Jin 001; James P. Callan; Paul Ogilvie (CIKM, 2002)

Language model for IR using collection information. - Rong Jin 001; Luo Si; Alexander G. Hauptmann; James P. Callan (SIGIR, 2002)

Using sampled data and regression to merge search engine results. - Luo Si; James P. Callan (SIGIR, 2002)

Collaborative filtering with decoupled models for preferences and ratings. - Rong Jin 001; Luo Si; ChengXiang Zhai; James P. Callan (CIKM, 2003)

Flexible Mixture Model for Collaborative Filtering. - Luo Si; Rong Jin 001 (ICML, 2003)

Relevant document distribution estimation method for resource selection. - Luo Si; James P. Callan (SIGIR, 2003)

The Effect of Database Size Distribution on Resource Selection Algorithms. - Luo Si; Jamie Callan (Distributed Multimedia Information Retrieval, 2003)

Preference-based Graphic Models for Collaborative Filtering. - Rong Jin 001; Luo Si; ChengXiang Zhai (UAI, 2003)

A semisupervised learning method to merge search engine results. - Luo Si; Jamie Callan (ACM Trans. Inf. Syst., 2003)

Unified utility maximization framework for resource selection. - Luo Si; James P. Callan (CIKM, 2004)

Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. - Luo Si; Rong Jin 001 (CIKM, 2004)

Effective automatic image annotation via a coherent language model and active learning. - Rong Jin 001; Joyce Y. Chai; Luo Si (ACM Multimedia, 2004)

An automatic weighting scheme for collaborative filtering. - Rong Jin 001; Joyce Y. Chai; Luo Si (SIGIR, 2004)

A study of methods for normalizing user ratings in collaborative filtering. - Rong Jin 001; Luo Si (SIGIR, 2004)

Effect of varying number of documents in blind feedback: analysis of the 2003 NRRC RIA workshop "bf_numdocs" experiment suite. - Jesse Montgomery; Luo Si; Jamie Callan; David A. Evans 001 (SIGIR, 2004)

A Bayesian Approach toward Active Learning for Collaborative Filtering. - Rong Jin 001; Luo Si (UAI, 2004)

CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists. - Luo Si; Jamie Callan (CLEF (Working Notes), 2005)

Learn to weight terms in information retrieval using category information. - Rong Jin 001; Joyce Y. Chai; Luo Si (ICML, 2005)

Boosting performance of bio-entity recognition by combining results from multiple systems. - Luo Si; Tapas Kanungo; Xiangji Huang 001 (BIOKDD, 2005)

Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. - Luo Si; Rong Jin 001 (PAKDD, 2005)

Modeling search engine effectiveness for federated search. - Luo Si; Jamie Callan (SIGIR, 2005)

York University at TREC 2005: Genomics Track. - Xiangji Huang 001; Ming Zhong 013; Luo Si (TREC, 2005)

Thresholding Strategies for Text Classifiers: TREC 2005 Biomedical Triage Task Experiments. - Luo Si; Tapas Kanungo (TREC, 2005)

A Knowledge Driven Regression Model for Gene Expression and Microarray Analysis. - Rong Jin 001; Luo Si; Shireesh Srivastava; Zheng Li; Christina Chan (EMBC, 2006)

Combining Multiple Resources, Evidences and Criteria for Genomic Information Retrieval. - Luo Si; Jie Lu 002; Jamie Callan (TREC, 2006)

Knowledge Transfer and Opinion Detection in the TREC 2006 Blog Track. - Hui Yang 001; Jamie Callan; Luo Si (TREC, 2006)

A study of mixture models for collaborative filtering. - Rong Jin 001; Luo Si; Chengxiang Zhai (Inf. Retr., 2006)

The FedLemur project: Federated search in the real world. - Thi Truong Avrahami; Lawrence Yau; Luo Si; James P. Callan (J. Assoc. Inf. Sci. Technol., 2006)

Collaborative image retrieval via regularized metric learning. - Luo Si; Rong Jin 001; Steven C. H. Hoi; Michael R. Lyu (Multim. Syst., 2006)

A Probabilistic Framework for Answer Selection in Question Answering. - Jeongwoo Ko; Luo Si; Eric Nyberg (HLT-NAACL, 2007)

Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search. - Suleyman Cetintas; Luo Si (SIGIR, 2007)

Protecting source privacy in federated search. - Wei Jiang 026; Luo Si; Jing Li (SIGIR, 2007)

A probabilistic graphical model for joint answer ranking in question answering. - Jeongwoo Ko; Eric Nyberg; Luo Si (SIGIR, 2007)

Federated search of text search engines in uncooperative environments. - Luo Si (SIGIR Forum, 2007)

Similar Document Detection with Limited Information Disclosure. - Wei Jiang 026; Mummoorthy Murugesan; Chris Clifton; Luo Si (ICDE, 2008)

Discriminative probabilistic models for passage based retrieval. - Mengqiu Wang; Luo Si (SIGIR, 2008)

A Bayesian framework for knowledge driven regression model in micro-array data analysis. - Rong Jin 001; Luo Si; Christina Chan (Int. J. Data Min. Bioinform., 2008)

An effective and efficient results merging strategy for multilingual information retrieval in federated search environments. - Luo Si; Jamie Callan; Suleyman Cetintas; Hao Yuan (Inf. Retr., 2008)

Combining gene sequence similarity and textual information for gene function annotation in the literature. - Luo Si; Danni Yu; Daisuke Kihara; Yi Fang 003 (Inf. Retr., 2008)

Learning to Identify Students' Off-Task Behavior in Intelligent Tutoring Systems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord; Dake Zhang (AIED, 2009)

Learning from past queries for resource selection. - Suleyman Cetintas; Luo Si; Hao Yuan (CIKM, 2009)

t-Plausibility: Semantic Preserving Text Sanitization. - Wei Jiang 026; Mummoorthy Murugesan; Chris Clifton; Luo Si (CSE (3), 2009)

Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord (EDM, 2009)

Automatic Text Categorization of Mathematical Word Problems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Dake Zhang; Joo Young Park (FLAIRS, 2009)

Multiple Instance Transfer Learning. - Dan Zhang 007; Luo Si (ICDM Workshops, 2009)

M3IC: Maximum Margin Multiple Instance Clustering. - Dan Zhang 007; Fei Wang 001; Luo Si; Tao Li 001 (IJCAI, 2009)

Modeling search response time. - Dan Zhang 007; Luo Si (SIGIR, 2009)

Strategies for Effective Chemical Information Retrieval. - Suleyman Cetintas; Luo Si (TREC, 2009)

Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers. - Yi Fang 003; Luo Si; Zhengtao Yu 001; Yantuan Xian; Yangbo Xu (TREC, 2009)

Non-Negative Matrix Factorization Clustering on Multiple Manifolds. - Bin Shen 002; Luo Si (AAAI, 2010)

Learning to Identify Students' Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom. - Suleyman Cetintas; Luo Si; Sugato Chakravarty; Hans Aagard; Kyle Bowen (Intelligent Tutoring Systems (2), 2010)

Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord (Intelligent Tutoring Systems (1), 2010)

Discriminative models of integrating document evidence and document-candidate associations for expert search. - Yi Fang 003; Luo Si; Aditya P. Mathur (SIGIR, 2010)

A joint probabilistic classification model for resource selection. - Dzung Hong; Luo Si; Paul J. Bracke; Michael Witt 002; Tim Juchcinski (SIGIR, 2010)

Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities. - Yi Fang 003; Luo Si; Naveen Somasundaram; Salman Al-Ansari; Zhengtao Yu 001; Yantuan Xian (TREC, 2010)

Combining evidence with a probabilistic framework for answer ranking and answer merging in question answering. - Jeongwoo Ko; Luo Si; Eric Nyberg (Inf. Process. Manag., 2010)

Discriminative graphical models for faculty homepage discovery. - Yi Fang 003; Luo Si; Aditya P. Mathur (Inf. Retr., 2010)

Automatic Detection of Off-Task Behaviors in Intelligent Tutoring Systems with Machine Learning Techniques. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Casey Hord (IEEE Trans. Learn. Technol., 2010)

Probabilistic models for answer-ranking in multilingual question-answering. - Jeongwoo Ko; Luo Si; Eric Nyberg; Teruko Mitamura (ACM Trans. Inf. Syst., 2010)

Efficient privacy-preserving similar document detection. - Mummoorthy Murugesan; Wei Jiang 026; Chris Clifton; Luo Si; Jaideep Vaidya (VLDB J., 2010)

A robust one-class bayesian approach for masquerade detection. - Qifan Wang 001; Luo Si (AISec, 2011)

Multi-view transfer learning with a large margin approach. - Dan Zhang 007; Jingrui He; Yan Liu 002; Luo Si; Richard D. Lawrence (KDD, 2011)

Serendipitous learning: learning beyond the predefined label space. - Dan Zhang 007; Yan Liu 002; Luo Si (KDD, 2011)

Multiple Instance Learning on Structured Data. - Dan Zhang 007; Yan Liu 002; Luo Si; Jian Zhang 003; Richard D. Lawrence (NIPS, 2011)

Matrix co-factorization for recommendation with rich side information and implicit feedback. - Yi Fang 003; Luo Si (HetRec@RecSys, 2011)

Forecasting counts of user visits for online display advertising with probabilistic latent class models. - Suleyman Cetintas; Datong Chen; Luo Si; Bin Shen 002; Zhanibek Datbayev (SIGIR, 2011)

Identifying similar people in professional social networks with discriminative probabilistic models. - Suleyman Cetintas; Monica Rogati; Luo Si; Yi Fang 003 (SIGIR, 2011)

Analysis of an expert search query log. - Yi Fang 003; Naveen Somasundaram; Luo Si; Jeongwoo Ko; Aditya P. Mathur (SIGIR, 2011)

A weighted curve fitting method for result merging in federated search. - Chuan He; Dzung Hong; Luo Si (SIGIR, 2011)

Machine learning for information retrieval. - Luo Si; Rong Jin 001 (SIGIR, 2011)

Composite hashing with multiple information sources. - Dan Zhang 007; Fei Wang 001; Luo Si (SIGIR, 2011)

Document clustering with universum. - Dan Zhang 007; Jingdong Wang 001; Luo Si (SIGIR, 2011)

Query Expansion and Message-Passing Algorithms for TREC Microblog Track. - Dzung Hong; Qifan Wang 001; Dan Zhang 007; Luo Si (TREC, 2011)

Federated Search. - Milad Shokouhi; Luo Si (Found. Trends Inf. Retr., 2011)

Discriminative probabilistic models for expert search in heterogeneous information sources. - Yi Fang 003; Luo Si; Aditya P. Mathur (Inf. Retr., 2011)

Microblogging in a Classroom: Classifying Students' Relevant and Irrelevant Questions in a Microblogging-Supported Classroom. - Suleyman Cetintas; Luo Si; Hans Aagard; Kyle Bowen; Mariheida Cordova-Sanchez (IEEE Trans. Learn. Technol., 2011)

Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. - Dan Zhang 007; Fei Wang 001; Luo Si; Tao Li 001 (IEEE Trans. Neural Networks, 2011)

A latent pairwise preference learning approach for recommendation from implicit feedback. - Yi Fang 003; Luo Si (CIKM, 2012)

A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. - Qifan Wang 001; Luo Si; Dan Zhang 007 (ECCV (4), 2012)

Initial results of using an intelligent tutoring system with Alice. - Stephen Cooper; Yoon Jae Nam; Luo Si (ITiCSE, 2012)

Mixture model with multiple centralized retrieval algorithms for result merging in federated search. - Dzung Hong; Luo Si (SIGIR, 2012)

Emotion tagging for comments of online news by meta classification with heterogeneous information sources. - Ying Zhang 015; Yi Fang 008; Xiaojun Quan; Lin Dai; Luo Si; Xiaojie Yuan (SIGIR, 2012)

Mining contrastive opinions on political texts using cross-perspective topic model. - Yi Fang 003; Luo Si; Naveen Somasundaram; Zhengtao Yu 001 (WSDM, 2012)

Robust Nonnegative Matrix Factorization via L1 Norm Regularization - Bin Shen 002; Luo Si; Rongrong Ji; Bao-Di Liu (CoRR, 2012)

Expertise Retrieval. - Krisztian Balog; Yi Fang 003; Maarten de Rijke; Pavel Serdyukov; Luo Si (Found. Trends Inf. Retr., 2012)

Sentiment detection with auxiliary data. - Dan Zhang 007; Luo Si; Vernon Rego (Inf. Retr., 2012)

Effective query generation and postprocessing strategies for prior art patent search. - Suleyman Cetintas; Luo Si (J. Assoc. Inf. Sci. Technol., 2012)

t-Plausibility: Generalizing Words to Desensitize Text. - Balamurugan Anandan; Chris Clifton; Wei Jiang 026; Mummoorthy Murugesan; Pedro Pastrana-Camacho; Luo Si (Trans. Data Priv., 2012)

Probabilistic latent class models for predicting student performance. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Ron Tzur (CIKM, 2013)

Learning compact hashing codes for efficient tag completion and prediction. - Qifan Wang 001; Lingyun Ruan; Zhiwei Zhang; Luo Si (CIKM, 2013)

Weighted hashing for fast large scale similarity search. - Qifan Wang 001; Dan Zhang 007; Luo Si (CIKM, 2013)

MILEAGE: Multiple Instance LEArning with Global Embedding. - Dan Zhang 007; Jingrui He; Luo Si; Richard D. Lawrence (ICML (3), 2013)

Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion. - Lei Cen; Eduard C. Dragut; Luo Si; Mourad Ouzzani (SIGIR, 2013)

Search result diversification in resource selection for federated search. - Dzung Hong; Luo Si (SIGIR, 2013)

Semantic hashing using tags and topic modeling. - Qifan Wang 001; Dan Zhang 007; Luo Si (SIGIR, 2013)

Forecasting user visits for online display advertising. - Suleyman Cetintas; Datong Chen; Luo Si (Inf. Retr., 2013)

Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. - Qifan Wang 001; Lingyun Ruan; Luo Si (AAAI, 2014)

Sparse Semantic Hashing for Efficient Large Scale Similarity Search. - Qifan Wang 001; Bin Shen 002; Zhiwei Zhang; Luo Si (CIKM, 2014)

ProbKS: Keyword Search on Probabilistic Spatial Data. - Feng Gao; Rohit Jain; Sunil Prabhakar 001; Luo Si (DASFAA Workshops, 2014)

Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. - Qifan Wang 001; Bin Shen 002; Shumiao Wang; Liang Li; Luo Si (ECCV (2), 2014)

Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. - Qifan Wang 001; Luo Si; Dan Zhang 007 (ECCV (3), 2014)

Relevancy prediction of micro-blog questions in an educational setting. - Mariheida Cordova-Sanchez; Parameswaran Raman; Luo Si; Jason Fish (EDM, 2014)

Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media. - Dan Zhang 007; Yan Liu 002; Luo Si (SNAKDD, 2014)

User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. - Lei Cen; Luo Si; Ninghui Li; Hongxia Jin (PIR@SIGIR, 2014)

Privacy-preserving IR: when information retrieval meets privacy and security. - Luo Si; Hui Yang 001 (SIGIR, 2014)

Active hashing with joint data example and tag selection. - Qifan Wang 001; Luo Si; Zhiwei Zhang; Ning Zhang (SIGIR, 2014)

Preference preserving hashing for efficient recommendation. - Zhiwei Zhang; Qifan Wang 001; Lingyun Ruan; Luo Si (SIGIR, 2014)

Cross-domain and cross-category emotion tagging for comments of online news. - Ying Zhang 015; Ning Zhang; Luo Si; Yanshan Lu; Qifan Wang 001; Xiaojie Yuan (SIGIR, 2014)

BIT and Purdue at TREC-KBA-CCR Track 2014. - Jingang Wang; Ning Zhang; Zhiwei Zhang; Dandan Song; Luo Si; Lejian Liao (TREC, 2014)

A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems. - Suleyman Cetintas; Luo Si; Yan Ping Xin; Dake Zhang; Joo Young Park; Ron Tzur (CoRR, 2014)

PIR 2014 The First International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security. - Luo Si; Hui Yang 001 (SIGIR Forum, 2014)

Learning to Hash on Structured Data. - Qifan Wang 001; Luo Si; Bin Shen 002 (AAAI, 2015)

LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. - Zhongshu Gu; Kexin Pei; Qifan Wang 001; Luo Si; Xiangyu Zhang 001; Dongyan Xu (DSN, 2015)

LDTM: A Latent Document Type Model for Cumulative Citation Recommendation. - Jingang Wang; Dandan Song; Zhiwei Zhang; Lejian Liao; Luo Si; Chin-Yew Lin (EMNLP, 2015)

Learning to Hash on Partial Multi-Modal Data. - Qifan Wang 001; Luo Si; Bin Shen 002 (IJCAI, 2015)

Ranking Preserving Hashing for Fast Similarity Search. - Qifan Wang 001; Zhiwei Zhang; Luo Si (IJCAI, 2015)

Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model. - Tao Wu 019; Qifan Wang 001; Zhiwei Zhang; Luo Si (IJCAI, 2015)

Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. - Lei Cen; Deguang Kong; Hongxia Jin; Luo Si (SDM, 2015)

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. - Jingang Wang; Dandan Song; Qifan Wang 001; Zhiwei Zhang; Luo Si; Lejian Liao; Chin-Yew Lin (SIGIR, 2015)

Privacy-Preserving and Efficient Friend Recommendation in Online Social Networks. - Bharath K. Samanthula; Lei Cen; Wei Jiang 026; Luo Si (Trans. Data Priv., 2015)

A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code. - Lei Cen; Christopher S. Gates; Luo Si; Ninghui Li (IEEE Trans. Dependable Secur. Comput., 2015)

Latent Discriminative Models for Social Emotion Detection with Emotional Dependency. - Xiaojun Quan; Qifan Wang 001; Ying Zhang 015; Luo Si; Wenyin Liu (ACM Trans. Inf. Syst., 2015)

Related entity finding by unified probabilistic models. - Yi Fang 008; Luo Si (World Wide Web, 2015)

HERCULE: attack story reconstruction via community discovery on correlated log graph. - Kexin Pei; Zhongshu Gu; Brendan Saltaformaggio; Shiqing Ma; Fei Wang 001; Zhiwei Zhang; Luo Si; Xiangyu Zhang 001; Dongyan Xu (ACSAC, 2016)

Supervised Local Contexts Aggregation for Effective Session Search. - Zhiwei Zhang; Jingang Wang; Tao Wu 019; Pengjie Ren; Zhumin Chen; Luo Si (ECIR, 2016)

Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. - Zhiwei Zhang; Qifan Wang 001; Luo Si; Jianfeng Gao 001 (SIGIR, 2016)

General, Nested, and Constrained Wiberg Minimization. - Dennis Strelow; Qifan Wang 001; Luo Si; Anders P. Eriksson (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

SMART: Sponsored mobile app recommendation by balancing app downloads and appstore profit. - Zhiwei Zhang; Ning Chen; Jun Wang; Luo Si (IEEE BigData, 2017)

Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases. - Xin Zhou; Jian Wang; Xu Xie; Changlong Sun; Luo Si (IJCNLP (Shared Tasks), 2017)

Cascade Ranking for Operational E-commerce Search. - Shichen Liu; Fei Xiao; Wenwu Ou; Luo Si (KDD, 2017)

SIGIR 2017 Workshop on eCommerce (ECOM17). - Jon Degenhardt; Surya Kallumadi; Maarten de Rijke; Luo Si; Andrew Trotman; Yinghui Xu (SIGIR, 2017)

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. - Huasha Zhao; Luo Si; Xiaogang Li; Qiong Zhang (SIGIR, 2017)

Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency. - Huasha Zhao; Yi Yang; Qiong Zhang; Luo Si (TAC, 2017)

Session-aware Information Embedding for E-commerce Product Recommendation. - Chen Wu 006; Ming Yan 008; Luo Si (CoRR, 2017)

Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016. - Chen Wu 006; Ming Yan 008; Luo Si (CoRR, 2017)

Detecting temporal patterns of user queries. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhiwei Zhang; Luo Si; Shuaiqiang Wang (J. Assoc. Inf. Sci. Technol., 2017)

Report on the SIGIR 2017 Workshop on eCommerce (ECOM17). - Jon Degenhardt; Surya Kallumadi; Yiu-Chang Lin; Maarten de Rijke; Luo Si; Andrew Trotman; Sindhuja Venkatesh; Yinghui Xu (SIGIR Forum, 2017)

A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. - Jingang Wang; Junfeng Tian; Long Qiu; Sheng Li 017; Jun Lang 001; Luo Si; Man Lan (AAAI, 2018)

Supervised Treebank Conversion: Data and Approaches. - Xinzhou Jiang; Zhenghua Li; Bo Zhang 071; Min Zhang 005; Sheng Li 017; Luo Si (ACL (1), 2018)

Document Information Assisted Event Trigger Detection. - Yingchi Liu; Quanzhi Li; Xiaozhong Liu; Luo Si (IEEE BigData, 2018)

One vs. Many QA Matching with both Word-level and Sentence-level Attention Network. - Lu Wang; Shoushan Li; Changlong Sun; Luo Si; Xiaozhong Liu; Min Zhang 005; Guodong Zhou (COLING, 2018)

An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity. - Junfeng Tian; Man Lan; Yuanbin Wu; Jingang Wang; Long Qiu; Sheng Li 017; Jun Lang 001; Luo Si (ECIR, 2018)

A Unified Syntax-aware Framework for Semantic Role Labeling. - Zuchao Li; Shexia He; Jiaxun Cai; Zhuosheng Zhang 001; Hai Zhao 001; Gongshen Liu; Linlin Li 001; Luo Si (EMNLP, 2018)

Sentiment Classification towards Question-Answering with Hierarchical Matching Network. - Chenlin Shen; Changlong Sun; Jingjing Wang; Yangyang Kang; Shoushan Li; Xiaozhong Liu; Luo Si; Min Zhang 005; Guodong Zhou (EMNLP, 2018)

Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. - Jingjing Wang; Jie Li; Shoushan Li; Yangyang Kang; Min Zhang 005; Luo Si; Guodong Zhou (IJCAI, 2018)

Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. - Yabo Ni; Dan Ou; Shichen Liu; Xiang Li; Wenwu Ou; Anxiang Zeng; Luo Si (KDD, 2018)

Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. - Huasha Zhao; Yi Yang; Qiong Zhang; Luo Si (NAACL-HLT (2), 2018)

NAI-SEA at SemEval-2018 Task 5: An Event Search System. - Yingchi Liu; Quanzhi Li; Luo Si (SemEval@NAACL-HLT, 2018)

NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach. - Wei Qiu; Mosha Chen; Linlin Li 001; Luo Si (SemEval@NAACL-HLT, 2018)

Alibaba Submission for WMT18 Quality Estimation Task. - Jiayi Wang; Kai Fan 002; Bo Li 121; Fengming Zhou; Boxing Chen; Yangbin Shi; Luo Si (WMT (shared task), 2018)

"Bilingual Expert" Can Find Translation Errors. - Kai Fan 002; Jiayi Wang; Bo Li 121; Fengming Zhou; Boxing Chen; Luo Si (AAAI, 2019)

Unsupervised Learning Helps Supervised Neural Word Segmentation. - Xiaobin Wang; Deng Cai 002; Linlin Li 001; Guangwei Xu; Hai Zhao 001; Luo Si (AAAI, 2019)

Syntax-Aware Neural Semantic Role Labeling. - Qingrong Xia; Zhenghua Li; Min Zhang 005; Meishan Zhang; Guohong Fu; Rui Wang 005; Luo Si (AAAI, 2019)

A Deep Cascade Model for Multi-Document Reading Comprehension. - Ming Yan 008; Jiangnan Xia; Chen Wu 006; Bin Bi; Zhongzhou Zhao; Ji Zhang 011; Luo Si; Rui Wang 005; Wei Wang 225; Haiqing Chen (AAAI, 2019)

A Neural Multi-digraph Model for Chinese NER with Gazetteers. - Ruixue Ding; Pengjun Xie; Xiaoyan Zhang; Wei Lu 011; Linlin Li 001; Luo Si (ACL (1), 2019)

Semi-supervised Domain Adaptation for Dependency Parsing. - Zhenghua Li; Xue Peng; Min Zhang 005; Rui Wang 005; Luo Si (ACL (1), 2019)

Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning. - Quanzhi Li; Qiong Zhang; Luo Si (ACL (1), 2019)

Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. - Jingjing Wang; Changlong Sun; Shoushan Li; Xiaozhong Liu; Luo Si; Min Zhang 005; Guodong Zhou (ACL (1), 2019)

Sexual Harassment Story Classification and Key Information Identification. - Yingchi Liu; Quanzhi Li; Xiaozhong Liu; Qiong Zhang; Luo Si (CIKM, 2019)

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. - Zhuoren Jiang; Zhe Gao; Guoxiu He; Yangyang Kang; Changlong Sun; Qiong Zhang; Luo Si; Xiaozhong Liu (EMNLP/IJCNLP (1), 2019)

Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. - Yingchi Liu; Quanzhi Li; Marika Cifor; Xiaozhong Liu; Qiong Zhang; Luo Si (EMNLP/IJCNLP (1), 2019)

Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. - Jingjing Wang; Changlong Sun; Shoushan Li; Jiancheng Wang; Luo Si; Min Zhang 005; Xiaozhong Liu; Guodong Zhou (EMNLP/IJCNLP (1), 2019)

Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. - Yue Zhang 004; Rui Wang 005; Luo Si (EMNLP/IJCNLP (1), 2019)

Self-attentive Biaffine Dependency Parsing. - Ying Li; Zhenghua Li; Min Zhang 005; Rui Wang 005; Sheng Li 017; Luo Si (IJCAI, 2019)

Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing. - Xue Peng; Zhenghua Li; Min Zhang 005; Rui Wang 005; Yue Zhang 004; Luo Si (NLPCC (2), 2019)

eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information. - Quanzhi Li; Qiong Zhang; Luo Si (SemEval@NAACL-HLT, 2019)

DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution. - Xiaobin Wang; Chunping Ma; Huafei Zheng; Chu Liu; Pengjun Xie; Linlin Li 001; Luo Si (SemEval@NAACL-HLT, 2019)

Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model. - Guoxiu He; Yangyang Kang; Zhe Gao; Zhuoren Jiang; Changlong Sun; Xiaozhong Liu; Wei Lu 019; Qiong Zhang; Luo Si (SIGIR, 2019)

Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. - Xin Zhou; Yating Zhang; Xiaozhong Liu; Changlong Sun; Luo Si (SIGIR, 2019)

IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. - Ming Yan 008; Chenliang Li; Chen Wu 006; Bin Bi; Wei Wang 225; Jiangnan Xia; Luo Si (TREC, 2019)

TweetSenti: Target-dependent Tweet Sentiment Analysis. - Quanzhi Li; Qiong Zhang; Luo Si (WWW, 2019)

Multi-Instance Learning for End-to-End Knowledge Base Question Answering. - Mengxi Wei; Yifan He; Qiong Zhang; Luo Si (CoRR, 2019)

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. - Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Zuyi Bao; Liwei Peng; Luo Si (CoRR, 2019)

Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. - Xingyi Cheng; Weidi Xu; Kunlong Chen; Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Luo Si; Wei Chu; Taifeng Wang (CoRR, 2019)

Rumor Detection on Social Media: Datasets, Methods and Opportunities. - Quanzhi Li; Qiong Zhang; Luo Si; Yingchi Liu (CoRR, 2019)

Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs. - Menghan Wang; Kun Zhang 001; Gulin Li; Keping Yang; Luo Si (CoRR, 2019)

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. - Haiyun Peng; Lu Xu 007; Lidong Bing; Fei Huang 002; Wei Lu 011; Luo Si (AAAI, 2020)

Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. - Jiancheng Wang; Jingjing Wang; Changlong Sun; Shoushan Li; Xiaozhong Liu; Luo Si; Min Zhang 005; Guodong Zhou (AAAI, 2020)

Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. - Xiao Chen; Changlong Sun; Jingjing Wang; Shoushan Li; Luo Si; Min Zhang 005; Guodong Zhou (ACL, 2020)

Review-based Question Generation with Adaptive Instance Transfer and Augmentation. - Qian Yu; Lidong Bing; Qiong Zhang; Wai Lam; Luo Si (ACL, 2020)

Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. - Zheng Gao 001; Lujun Zhao; Heng Huang; Hongsong Li; Changlong Sun; Luo Si; Xiaozhong Liu (ECAI, 2020)

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. - Bin Bi; Chenliang Li; Chen Wu 006; Ming Yan 008; Wei Wang 225; Songfang Huang; Fei Huang 002; Luo Si (EMNLP (1), 2020)

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. - Liying Cheng; Lidong Bing; Qian Yu; Wei Lu 011; Luo Si (EMNLP (1), 2020)

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. - Liying Cheng; Dekun Wu; Lidong Bing; Yan Zhang 004; Zhanming Jie; Wei Lu 011; Luo Si (EMNLP (1), 2020)

DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. - Bosheng Ding; Linlin Liu; Lidong Bing; Canasai Kruengkrai; Thien Hai Nguyen; Shafiq R. Joty; Luo Si; Chunyan Miao (EMNLP (1), 2020)

De-Biased Court's View Generation with Causality. - Yiquan Wu 001; Kun Kuang; Yating Zhang; Xiaozhong Liu; Changlong Sun; Jun Xiao 001; Yueting Zhuang; Luo Si; Fei Wu 001 (EMNLP (1), 2020)

Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue. - Weisheng Zhang; Kaisong Song; Yangyang Kang; Zhongqing Wang; Changlong Sun; Xiaozhong Liu; Shoushan Li; Min Zhang 005; Luo Si (EMNLP (Findings), 2020)

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. - Wei Wang 225; Bin Bi; Ming Yan 008; Chen Wu 006; Jiangnan Xia; Zuyi Bao; Liwei Peng; Luo Si (ICLR, 2020)

Natural Language Technologies for Internet Applications. - Luo Si (JCDL, 2020)

Romance in China: Mining and Visualizing 10 Million Alibaba Valentine Purchases. - Yongzhen Wang; Xiaozhong Liu; Yingnan Ju; Katy Börner; Jun Lin; Changlong Sun; Luo Si (CoRR, 2020)

Knowledge Graph Empowered Entity Description Generation. - Liying Cheng; Yan Zhang 004; Dekun Wu; Zhanming Jie; Lidong Bing; Wei Lu 011; Luo Si (CoRR, 2020)

VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation. - Fuli Luo; Wei Wang 225; Jiahao Liu; Yijia Liu; Bin Bi; Songfang Huang; Fei Huang 002; Luo Si (CoRR, 2020)

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. - Bosheng Ding; Linlin Liu; Lidong Bing; Canasai Kruengkrai; Thien Hai Nguyen; Shafiq R. Joty; Luo Si; Chunyan Miao (CoRR, 2020)

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. - Binyuan Hui; Ruiying Geng; Qiyu Ren; Binhua Li; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Pengfei Zhu 001; Xiaodan Zhu 001 (AAAI, 2021)

Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. - Binling Nie; Ruixue Ding; Pengjun Xie; Fei Huang 002; Chen Qian 003; Luo Si (AAAI, 2021)

Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. - Yajing Sun; Yong Shan; Chengguang Tang; Yue Hu 002; Yinpei Dai; Jing Yu 007; Jian Sun 021; Fei Huang 002; Luo Si (AAAI, 2021)

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. - Liying Cheng; Tianyu Wu; Lidong Bing; Luo Si (ACL/IJCNLP (1), 2021)

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. - Yinpei Dai; Hangyu Li 003; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Xiaodan Zhu 001 (ACL/IJCNLP (2), 2021)

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. - Ruidan He; Linlin Liu; Hai Ye; Qingyu Tan; Bosheng Ding; Liying Cheng; Jia-Wei Low; Lidong Bing; Luo Si (ACL/IJCNLP (1), 2021)

StructuralLM: Structural Pre-training for Form Understanding. - Chenliang Li; Bin Bi; Ming Yan 008; Wei Wang 225; Songfang Huang; Fei Huang 002; Luo Si (ACL/IJCNLP (1), 2021)

MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. - Linlin Liu; Bosheng Ding; Lidong Bing; Shafiq R. Joty; Luo Si; Chunyan Miao (ACL/IJCNLP (1), 2021)

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. - Fuli Luo; Wei Wang 225; Jiahao Liu; Yijia Liu; Bin Bi; Songfang Huang; Fei Huang 002; Luo Si (ACL/IJCNLP (1), 2021)

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. - Che Liu; Rui Wang 005; Jinghua Liu; Jian Sun 021; Fei Huang 002; Luo Si (EMNLP (1), 2021)

Document-level Relation Extraction as Semantic Segmentation. - Ningyu Zhang 001; Xiang Chen 016; Xin Xie 006; Shumin Deng; Chuanqi Tan; Mosha Chen; Fei Huang 002; Luo Si; Huajun Chen (IJCAI, 2021)

A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents. - Qingrong Xia; Bo Zhang 071; Rui Wang 005; Zhenghua Li; Yue Zhang 004; Fei Huang 002; Luo Si; Min Zhang 005 (NAACL-HLT, 2021)

Overview of Argumentative Text Understanding for AI Debater Challenge. - Jian Yuan; Liying Cheng; Ruidan He; Yinzi Li; Lidong Bing; Zhongyu Wei; Qin Liu 010; Chenhui Shen; Shuonan Zhang; Changlong Sun; Luo Si; Changjian Jiang; et al. (NLPCC (2), 2021)

Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information. - Yingchi Liu; Quanzhi Li; Changlong Sun; Luo Si (SIGIR, 2021)

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. - Guanglin Niu; Yang Li 218; Chengguang Tang; Ruiying Geng; Jian Dai; Qiao Liu; Hao Wang 005; Jian Sun 021; Fei Huang 002; Luo Si (SIGIR, 2021)

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. - Binyuan Hui; Ruiying Geng; Qiyu Ren; Binhua Li; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Pengfei Zhu 001; Xiaodan Zhu 001 (CoRR, 2021)

Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy. - Yongzhen Wang; Xiaozhong Liu; Katy Börner; Jun Lin; Yingnan Ju; Changlong Sun; Luo Si (CoRR, 2021)

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. - Yinpei Dai; Hangyu Li 003; Yongbin Li; Jian Sun 021; Fei Huang 002; Luo Si; Xiaodan Zhu 001 (CoRR, 2021)

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. - Ningyu Zhang 001; Zhen Bi; Xiaozhuan Liang; Lei Li 040; Xiang Chen 016; Shumin Deng; Luoqiu Li; Hongbin Ye; Xin Shang; Kangping Yin; Chuanqi Tan; Jian Xu; et al. (CoRR, 2021)

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. - Ran Zhou 004; Ruidan He; Xin Li 056; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (CoRR, 2021)

MReD: A Meta-Review Dataset for Controllable Text Generation. - Chenhui Shen; Liying Cheng; Ran Zhou 004; Lidong Bing; Yang You; Luo Si (CoRR, 2021)

Achieving Human Parity on Visual Question Answering. - Ming Yan 008; Haiyang Xu 001; Chenliang Li; Junfeng Tian; Bin Bi; Wei Wang 225; Weihua Chen; Xianzhe Xu; Fan Wang 019; Zheng Cao 003; Zhicheng Zhang; Qiyu Zhang; et al. (CoRR, 2021)

Knowledge Based Multilingual Language Model. - Linlin Liu; Xin Li 056; Ruidan He; Lidong Bing; Shafiq R. Joty; Luo Si (CoRR, 2021)

Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine's Day Purchases. - Yongzhen Wang; Xiaozhong Liu; Yingnan Ju; Katy Börner; Jun Lin; Changlong Sun; Luo Si (Data Inf. Manag., 2021)

Leveraging online shopping behaviors as a proxy for personal lifestyle choices: New insights into chronic disease prevention literacy. - Yongzhen Wang; Xiaozhong Liu; Katy Börner; Jun Lin; Yingnan Ju; Changlong Sun; Luo Si (Zenodo, 2021)

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection. - Wanwei He; Yinpei Dai; Yinhe Zheng; Yuchuan Wu; Zheng Cao 003; Dermot Liu; Peng Jiang; Min Yang 007; Fei Huang 002; Luo Si; Jian Sun 021; Yongbin Li (AAAI, 2022)

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. - Liying Cheng; Lidong Bing; Ruidan He; Qian Yu; Yan Zhang 004; Luo Si (ACL (1), 2022)

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. - Yew Ken Chia; Lidong Bing; Soujanya Poria; Luo Si (ACL (Findings), 2022)

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. - Bosheng Ding; Junjie Hu 001; Lidong Bing; Sharifah Mahani Aljunied; Shafiq R. Joty; Luo Si; Chunyan Miao (ACL (1), 2022)

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. - Chenhui Shen; Liying Cheng; Ran Zhou 004; Lidong Bing; Yang You; Luo Si (ACL (Findings), 2022)

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. - Ningyu Zhang 001; Mosha Chen; Zhen Bi; Xiaozhuan Liang; Lei Li 040; Xin Shang; Kangping Yin; Chuanqi Tan; Jian Xu; Fei Huang 002; Luo Si; Yuan Ni; et al. (ACL (1), 2022)

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. - Ran Zhou 004; Xin Li 056; Ruidan He; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (ACL (1), 2022)

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. - Xiang Chen 016; Lei Li 040; Shumin Deng; Chuanqi Tan; Changliang Xu; Fei Huang 002; Luo Si; Huajun Chen; Ningyu Zhang 001 (COLING, 2022)

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding. - Wanwei He; Yinpei Dai; Binyuan Hui; Min Yang 007; Zheng Cao 003; Jianbo Dong; Fei Huang 002; Luo Si; Yongbin Li (COLING, 2022)

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. - Linlin Liu; Thien Hai Nguyen; Shafiq R. Joty; Lidong Bing; Luo Si (COLING, 2022)

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. - Bowen Qin; Lihan Wang; Binyuan Hui; Bowen Li 002; Xiangpeng Wei; Binhua Li; Fei Huang 002; Luo Si; Min Yang 007; Yongbin Li (COLING, 2022)

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? - Pei Zhang 011; Baosong Yang; Haoran Wei; Dayiheng Liu; Kai Fan 002; Luo Si; Jun Xie (EMNLP, 2022)

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. - Zefeng Cai; Xiangyu Li; Binyuan Hui; Min Yang 007; Bowen Li 002; Binhua Li; Zheng Cao 003; Weijie Li; Fei Huang 002; Luo Si; Yongbin Li (EMNLP (Findings), 2022)

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. - Yew Ken Chia; Lidong Bing; Sharifah Mahani Aljunied; Luo Si; Soujanya Poria (EMNLP, 2022)

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots. - Haomin Fu; Yeqin Zhang; Haiyang Yu 003; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li; Cam-Tu Nguyen (EMNLP (Findings), 2022)

Towards Generalizable and Robust Text-to-SQL Parsing. - Chang Gao; Bowen Li 002; Wenxuan Zhang 001; Wai Lam; Binhua Li; Fei Huang 002; Luo Si; Yongbin Li (EMNLP (Findings), 2022)

Estimating Soft Labels for Out-of-Domain Intent Detection. - Hao Lang; Yinhe Zheng; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li (EMNLP, 2022)

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. - Chenliang Li; Haiyang Xu 001; Junfeng Tian; Wei Wang 225; Ming Yan 008; Bin Bi; Jiabo Ye; He Chen; Guohai Xu; Zheng Cao 003; Ji Zhang 011; Songfang Huang; et al. (EMNLP, 2022)

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. - Linlin Liu; Xin Li 056; Ruidan He; Lidong Bing; Shafiq R. Joty; Luo Si (EMNLP, 2022)

SentBS: Sentence-level Beam Search for Controllable Summarization. - Chenhui Shen; Liying Cheng; Lidong Bing; Yang You; Luo Si (EMNLP, 2022)

ConNER: Consistency Training for Cross-lingual Named Entity Recognition. - Ran Zhou 004; Xin Li 056; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (EMNLP, 2022)

Context-Adaptive Document-Level Neural Machine Translation. - Linlin Zhang; Zhirui Zhang; Boxing Chen; Weihua Luo; Luo Si (ICASSP, 2022)

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. - Ting-En Lin; Yuchuan Wu; Fei Huang 002; Luo Si; Jian Sun 021; Yongbin Li (KDD, 2022)

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. - Lihan Wang; Bowen Qin; Binyuan Hui; Bowen Li 002; Min Yang 007; Bailin Wang; Binhua Li; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li (KDD, 2022)

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. - Xiang Chen 016; Ningyu Zhang 001; Lei Li 040; Yunzhi Yao; Shumin Deng; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (NAACL-HLT (Findings), 2022)

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. - Xiang Chen 016; Lei Li 040; Ningyu Zhang 001; Xiaozhuan Liang; Shumin Deng; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (NeurIPS, 2022)

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. - Xiang Chen 016; Lei Li 040; Ningyu Zhang 001; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (SIGIR, 2022)

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. - Xiang Chen 016; Ningyu Zhang 001; Lei Li 040; Shumin Deng; Chuanqi Tan; Changliang Xu; Fei Huang 002; Luo Si; Huajun Chen (SIGIR, 2022)

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. - Wanwei He; Yinpei Dai; Min Yang 007; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li (SIGIR, 2022)

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. - Xiang Chen 016; Ningyu Zhang 001; Xin Xie 006; Shumin Deng; Yunzhi Yao; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (WWW, 2022)

Disentangled representation for sequential treatment effect estimation. - Jiebin Chu; Yaoyun Zhang; Fei Huang 002; Luo Si; Songfang Huang; Zhengxing Huang (Comput. Methods Programs Biomed., 2022)

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. - Xiang Chen 016; Ningyu Zhang 001; Lei Li 040; Yunzhi Yao; Shumin Deng; Chuanqi Tan; Fei Huang 002; Luo Si; Huajun Chen (CoRR, 2022)

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. - Chenliang Li; Haiyang Xu 001; Junfeng Tian; Wei Wang 225; Ming Yan 008; Bin Bi; Jiabo Ye; Hehong Chen; Guohai Xu; Zheng Cao 003; Ji Zhang 011; Songfang Huang; et al. (CoRR, 2022)

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue System. - Ting-En Lin; Yuchuan Wu; Fei Huang 002; Luo Si; Jian Sun 021; Yongbin Li (CoRR, 2022)

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding. - Chuwei Luo; Guozhi Tang; Qi Zheng 002; Cong Yao; Lianwen Jin; Chenliang Li; Yang Xue 001; Luo Si (CoRR, 2022)

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. - Lihan Wang; Bowen Qin; Binyuan Hui; Bowen Li 002; Min Yang 007; Bailin Wang; Binhua Li; Fei Huang 002; Luo Si; Yongbin Li (CoRR, 2022)

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions. - Bowen Qin; Binyuan Hui; Lihan Wang; Min Yang 007; Jinyang Li 003; Binhua Li; Ruiying Geng; Rongyu Cao; Jian Sun 021; Luo Si; Fei Huang 002; Yongbin Li (CoRR, 2022)

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. - Wanwei He; Yinpei Dai; Min Yang 007; Jian Sun 021; Fei Huang 002; Luo Si; Yongbin Li (CoRR, 2022)

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. - Weiwen Xu; Xin Li 056; Wenxuan Zhang 001; Meng Zhou; Lidong Bing; Wai Lam; Luo Si (CoRR, 2022)

Adaptive multi-task positive-unlabeled learning for joint prediction of multiple chronic diseases using online shopping behaviors. - Yongzhen Wang; Jun Lin; Sheng Bi; Changlong Sun; Luo Si; Xiaozhong Liu (Expert Syst. Appl., 2022)

Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. - Jinyang Li 003; Binyuan Hui; Reynold Cheng; Bowen Qin; Chenhao Ma 001; Nan Huo; Fei Huang 002; Wenyu Du; Luo Si; Yongbin Li (AAAI, 2023)

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. - Qianglong Chen; Guohai Xu; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Luo Si; Yin Zhang 006 (ACL (Findings), 2023)

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. - Linlin Liu; Xingxuan Li; Megh Thakkar; Xin Li 056; Shafiq Joty; Luo Si; Lidong Bing (ACL (1), 2023)

A Simple Concatenation can Effectively Improve Speech Translation. - Linlin Zhang; Kai Fan 002; Boxing Chen; Luo Si (ACL (2), 2023)

Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model. - Linlin Zhang; Boxing Chen; Shaolin Zhu; Luo Si (ICANN (3), 2023)

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader. - Weiwen Xu; Xin Li 056; Wenxuan Zhang 001; Meng Zhou; Wai Lam; Luo Si; Lidong Bing (NeurIPS, 2023)

Continual Multimodal Knowledge Graph Construction. - Xiang Chen 016; Jintian Zhang; Xiaohan Wang; Tongtong Wu; Shumin Deng; Yongheng Wang; Luo Si; Huajun Chen; Ningyu Zhang 001 (CoRR, 2023)

ACM WSDM 2023 Report. - Hady W. Lauw; Tat-Seng Chua; Luo Si; Evimaria Terzi; Panayiotis Tsaparas; Andrew Tomkins (SIGWEB Newsl., 2023)

Achieving Human Parity on Visual Question Answering. - Ming Yan 008; Haiyang Xu 001; Chenliang Li; Junfeng Tian; Bin Bi; Wei Wang 225; Xianzhe Xu; Ji Zhang 011; Songfang Huang; Fei Huang 002; Luo Si; Rong Jin 001 (ACM Trans. Inf. Syst., 2023)

Schema dependency-enhanced curriculum pre-training for table semantic parsing. - Bowen Qin; Binyuan Hui; Lihan Wang; Min Yang 007; Binhua Li; Fei Huang 002; Luo Si; Qingshan Jiang; Yongbin Li (Knowl. Based Syst., 2023)

Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). - Hady W. Lauw; Tat-Seng Chua; Luo Si; Evimaria Terzi; Panayiotis Tsaparas; Andrew Tomkins (SIGIR Forum, 2023)

Sequence Labeling as Non-Autoregressive Dual-Query Set Generation. - Xiang Chen 016; Lei Li 040; Yuqi Zhu; Shumin Deng; Chuanqi Tan; Fei Huang 002; Luo Si; Ningyu Zhang 001; Huajun Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2024)