| 2023 | AAAI | Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. | Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li |
| 2023 | ACL | Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. | Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang |
| 2023 | ACL | Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. | Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing |
| 2023 | ACL | A Simple Concatenation can Effectively Improve Speech Translation. | Linlin Zhang, Kai Fan, Boxing Chen, Luo Si |
| 2023 | ICANN | Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model. | Linlin Zhang, Boxing Chen, Shaolin Zhu, Luo Si |
| 2022 | AAAI | 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, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li |
| 2022 | ACL | IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. | Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si |
| 2022 | ACL | RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. | Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si |
| 2022 | ACL | GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. | Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao |
| 2022 | ACL | MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. | Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si |
| 2022 | ACL | CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. | Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen |
| 2022 | ACL | MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. | Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao |
| 2022 | COLING | LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. | Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang |
| 2022 | COLING | SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding. | Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li |
| 2022 | COLING | Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. | Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si |
| 2022 | COLING | SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. | Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li |
| 2022 | EMNLP | Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? | Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie |
| 2022 | EMNLP | STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. | Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li |
| 2022 | EMNLP | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. | Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria |
| 2022 | EMNLP | Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots. | Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen |
| 2022 | EMNLP | Towards Generalizable and Robust Text-to-SQL Parsing. | Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li |
| 2022 | EMNLP | Estimating Soft Labels for Out-of-Domain Intent Detection. | Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2022 | EMNLP | Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. | Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si |
| 2022 | EMNLP | mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. | Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si |
| 2022 | EMNLP | SentBS: Sentence-level Beam Search for Controllable Summarization. | Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si |
| 2022 | EMNLP | ConNER: Consistency Training for Cross-lingual Named Entity Recognition. | Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao |
| 2022 | ICASSP | Context-Adaptive Document-Level Neural Machine Translation. | Linlin Zhang, Zhirui Zhang, Boxing Chen, Weihua Luo, Luo Si |
| 2022 | KDD | Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. | Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li |
| 2022 | KDD | Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. | Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2022 | NAACL | Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. | Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | WWW | KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. | Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. | Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. | Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. | Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li |
| 2021 | AAAI | Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. | Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu |
| 2021 | AAAI | Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. | Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si |
| 2021 | AAAI | Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. | Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si |
| 2021 | ACL | Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. | Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si |
| 2021 | ACL | Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. | Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu |
| 2021 | ACL | 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 |
| 2021 | ACL | StructuralLM: Structural Pre-training for Form Understanding. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2021 | ACL | 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 |
| 2021 | ACL | VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. | Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si |
| 2021 | EMNLP | DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. | Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si |
| 2021 | IJCAI | Document-level Relation Extraction as Semantic Segmentation. | Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen |
| 2021 | NAACL | A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents. | Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang |
| 2021 | SIGIR | Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information. | Yingchi Liu, Quanzhi Li, Changlong Sun, Luo Si |
| 2021 | SIGIR | Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. | Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si |
| 2020 | AAAI | Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. | Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si |
| 2020 | AAAI | 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, Guodong Zhou |
| 2020 | ACL | Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. | Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou |
| 2020 | ACL | Review-based Question Generation with Adaptive Instance Transfer and Augmentation. | Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si |
| 2020 | ECAI | Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. | Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu |
| 2020 | EMNLP | PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. | Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2020 | EMNLP | APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. | Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si |
| 2020 | EMNLP | ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. | Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | De-Biased Court's View Generation with Causality. | Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu |
| 2020 | EMNLP | 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, Luo Si |
| 2020 | ICLR | StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. | Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si |
| 2019 | AAAI | "Bilingual Expert" Can Find Translation Errors. | Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si |
| 2019 | AAAI | Unsupervised Learning Helps Supervised Neural Word Segmentation. | Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si |
| 2019 | AAAI | Syntax-Aware Neural Semantic Role Labeling. | Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si |
| 2019 | AAAI | A Deep Cascade Model for Multi-Document Reading Comprehension. | Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen |
| 2019 | ACL | A Neural Multi-digraph Model for Chinese NER with Gazetteers. | Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si |
| 2019 | ACL | Semi-supervised Domain Adaptation for Dependency Parsing. | Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si |
| 2019 | ACL | Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning. | Quanzhi Li, Qiong Zhang, Luo Si |
| 2019 | ACL | Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. | Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou |
| 2019 | CIKM | Sexual Harassment Story Classification and Key Information Identification. | Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si |
| 2019 | EMNLP | 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 |
| 2019 | EMNLP | 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 |
| 2019 | EMNLP | 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, Xiaozhong Liu, Guodong Zhou |
| 2019 | EMNLP | Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. | Yue Zhang, Rui Wang, Luo Si |
| 2019 | IJCAI | Self-attentive Biaffine Dependency Parsing. | Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si |
| 2019 | WWW | TweetSenti: Target-dependent Tweet Sentiment Analysis. | Quanzhi Li, Qiong Zhang, Luo Si |
| 2019 | SIGIR | 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, Qiong Zhang, Luo Si |
| 2019 | SIGIR | Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. | Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Luo Si |
| 2018 | AAAI | A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. | Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan |
| 2018 | ACL | Supervised Treebank Conversion: Data and Approaches. | Xinzhou Jiang, Zhenghua Li, Bo Zhang, Min Zhang, Sheng Li, Luo Si |
| 2018 | COLING | 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, Guodong Zhou |
| 2018 | ECIR | An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity. | Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si |
| 2018 | EMNLP | A Unified Syntax-aware Framework for Semantic Role Labeling. | Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si |
| 2018 | EMNLP | 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, Guodong Zhou |
| 2018 | IJCAI | Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. | Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou |
| 2018 | KDD | 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 |
| 2018 | NAACL | Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. | Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si |
| 2017 | IJCNLP | 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 |
| 2017 | KDD | Cascade Ranking for Operational E-commerce Search. | Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si |
| 2017 | SIGIR | SIGIR 2017 Workshop on eCommerce (ECOM17). | Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu |
| 2017 | SIGIR | Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. | Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang |
| 2016 | ACSAC | HERCULE: attack story reconstruction via community discovery on correlated log graph. | Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu |
| 2016 | ECIR | Supervised Local Contexts Aggregation for Effective Session Search. | Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si |
| 2016 | SIGIR | Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. | Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao |
| 2015 | AAAI | Learning to Hash on Structured Data. | Qifan Wang, Luo Si, Bin Shen |
| 2015 | DSN | LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. | Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu |
| 2015 | EMNLP | LDTM: A Latent Document Type Model for Cumulative Citation Recommendation. | Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, Chin-Yew Lin |
| 2015 | IJCAI | Learning to Hash on Partial Multi-Modal Data. | Qifan Wang, Luo Si, Bin Shen |
| 2015 | IJCAI | Ranking Preserving Hashing for Fast Similarity Search. | Qifan Wang, Zhiwei Zhang, Luo Si |
| 2015 | IJCAI | Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model. | Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si |
| 2015 | SIGIR | An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. | Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin |
| 2015 | SDM | Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. | Lei Cen, Deguang Kong, Hongxia Jin, Luo Si |
| 2014 | AAAI | Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. | Qifan Wang, Lingyun Ruan, Luo Si |
| 2014 | CIKM | Sparse Semantic Hashing for Efficient Large Scale Similarity Search. | Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si |
| 2014 | DASFAA | ProbKS: Keyword Search on Probabilistic Spatial Data. | Feng Gao, Rohit Jain, Sunil Prabhakar, Luo Si |
| 2014 | ECCV | Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. | Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si |
| 2014 | ECCV | Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. | Qifan Wang, Luo Si, Dan Zhang |
| 2014 | EDM | Relevancy prediction of micro-blog questions in an educational setting. | Mariheida Cordova-Sanchez, Parameswaran Raman, Luo Si, Jason Fish |
| 2014 | KDD | Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media. | Dan Zhang, Yan Liu, Luo Si |
| 2014 | SIGIR | User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. | Lei Cen, Luo Si, Ninghui Li, Hongxia Jin |
| 2014 | SIGIR | Privacy-preserving IR: when information retrieval meets privacy and security. | Luo Si, Hui Yang |
| 2014 | SIGIR | Active hashing with joint data example and tag selection. | Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang |
| 2014 | SIGIR | Preference preserving hashing for efficient recommendation. | Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si |
| 2014 | SIGIR | Cross-domain and cross-category emotion tagging for comments of online news. | Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan |
| 2013 | CIKM | Probabilistic latent class models for predicting student performance. | Suleyman Cetintas, Luo Si, Yan Ping Xin, Ron Tzur |
| 2013 | CIKM | Learning compact hashing codes for efficient tag completion and prediction. | Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si |
| 2013 | CIKM | Weighted hashing for fast large scale similarity search. | Qifan Wang, Dan Zhang, Luo Si |
| 2013 | ICML | MILEAGE: Multiple Instance LEArning with Global Embedding. | Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence |
| 2013 | SIGIR | Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion. | Lei Cen, Eduard C. Dragut, Luo Si, Mourad Ouzzani |
| 2013 | SIGIR | Search result diversification in resource selection for federated search. | Dzung Hong, Luo Si |
| 2013 | SIGIR | Semantic hashing using tags and topic modeling. | Qifan Wang, Dan Zhang, Luo Si |
| 2012 | CIKM | A latent pairwise preference learning approach for recommendation from implicit feedback. | Yi Fang, Luo Si |
| 2012 | ECCV | A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. | Qifan Wang, Luo Si, Dan Zhang |
| 2012 | ITiCSE | Initial results of using an intelligent tutoring system with Alice. | Stephen Cooper, Yoon Jae Nam, Luo Si |
| 2012 | SIGIR | Mixture model with multiple centralized retrieval algorithms for result merging in federated search. | Dzung Hong, Luo Si |
| 2012 | SIGIR | Emotion tagging for comments of online news by meta classification with heterogeneous information sources. | Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan |
| 2012 | WSDM | Mining contrastive opinions on political texts using cross-perspective topic model. | Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu |
| 2011 | CCS | A robust one-class bayesian approach for masquerade detection. | Qifan Wang, Luo Si |
| 2011 | KDD | Multi-view transfer learning with a large margin approach. | Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence |
| 2011 | KDD | Serendipitous learning: learning beyond the predefined label space. | Dan Zhang, Yan Liu, Luo Si |
| 2011 | RecSys | Matrix co-factorization for recommendation with rich side information and implicit feedback. | Yi Fang, Luo Si |
| 2011 | SIGIR | Forecasting counts of user visits for online display advertising with probabilistic latent class models. | Suleyman Cetintas, Datong Chen, Luo Si, Bin Shen, Zhanibek Datbayev |
| 2011 | SIGIR | Identifying similar people in professional social networks with discriminative probabilistic models. | Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang |
| 2011 | SIGIR | Analysis of an expert search query log. | Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur |
| 2011 | SIGIR | A weighted curve fitting method for result merging in federated search. | Chuan He, Dzung Hong, Luo Si |
| 2011 | SIGIR | Machine learning for information retrieval. | Luo Si, Rong Jin |
| 2011 | SIGIR | Composite hashing with multiple information sources. | Dan Zhang, Fei Wang, Luo Si |
| 2011 | SIGIR | Document clustering with universum. | Dan Zhang, Jingdong Wang, Luo Si |
| 2010 | AAAI | Non-Negative Matrix Factorization Clustering on Multiple Manifolds. | Bin Shen, Luo Si |
| 2010 | ITS | Learning to Identify Students' Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom. | Suleyman Cetintas, Luo Si, Sugato Chakravarty, Hans Aagard, Kyle Bowen |
| 2010 | ITS | Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach. | Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord |
| 2010 | SIGIR | Discriminative models of integrating document evidence and document-candidate associations for expert search. | Yi Fang, Luo Si, Aditya P. Mathur |
| 2010 | SIGIR | A joint probabilistic classification model for resource selection. | Dzung Hong, Luo Si, Paul J. Bracke, Michael Witt, Tim Juchcinski |
| 2009 | AIED | Learning to Identify Students' Off-Task Behavior in Intelligent Tutoring Systems. | Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord, Dake Zhang |
| 2009 | CIKM | Learning from past queries for resource selection. | Suleyman Cetintas, Luo Si, Hao Yuan |
| 2009 | EDM | Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems. | Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord |
| 2009 | FlAIRS | Automatic Text Categorization of Mathematical Word Problems. | Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhang, Joo Young Park |
| 2009 | ICDM | Multiple Instance Transfer Learning. | Dan Zhang, Luo Si |
| 2009 | IJCAI | M3IC: Maximum Margin Multiple Instance Clustering. | Dan Zhang, Fei Wang, Luo Si, Tao Li |
| 2009 | SIGIR | Modeling search response time. | Dan Zhang, Luo Si |
| 2008 | ICDE | Similar Document Detection with Limited Information Disclosure. | Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si |
| 2008 | SIGIR | Discriminative probabilistic models for passage based retrieval. | Mengqiu Wang, Luo Si |
| 2007 | NAACL | A Probabilistic Framework for Answer Selection in Question Answering. | Jeongwoo Ko, Luo Si, Eric Nyberg |
| 2007 | SIGIR | Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search. | Suleyman Cetintas, Luo Si |
| 2007 | SIGIR | Protecting source privacy in federated search. | Wei Jiang, Luo Si, Jing Li |
| 2007 | SIGIR | A probabilistic graphical model for joint answer ranking in question answering. | Jeongwoo Ko, Eric Nyberg, Luo Si |
| 2005 | ICML | Learn to weight terms in information retrieval using category information. | Rong Jin, Joyce Y. Chai, Luo Si |
| 2005 | KDD | Boosting performance of bio-entity recognition by combining results from multiple systems. | Luo Si, Tapas Kanungo, Xiangji Huang |
| 2005 | PAKDD | Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. | Luo Si, Rong Jin |
| 2005 | SIGIR | Modeling search engine effectiveness for federated search. | Luo Si, Jamie Callan |
| 2004 | CIKM | Unified utility maximization framework for resource selection. | Luo Si, James P. Callan |
| 2004 | CIKM | Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. | Luo Si, Rong Jin |
| 2004 | SIGIR | An automatic weighting scheme for collaborative filtering. | Rong Jin, Joyce Y. Chai, Luo Si |
| 2004 | SIGIR | A study of methods for normalizing user ratings in collaborative filtering. | Rong Jin, Luo Si |
| 2004 | SIGIR | 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 |
| 2004 | UAI | A Bayesian Approach toward Active Learning for Collaborative Filtering. | Rong Jin, Luo Si |
| 2003 | CIKM | Collaborative filtering with decoupled models for preferences and ratings. | Rong Jin, Luo Si, ChengXiang Zhai, James P. Callan |
| 2003 | ICML | Flexible Mixture Model for Collaborative Filtering. | Luo Si, Rong Jin |
| 2003 | SIGIR | Relevant document distribution estimation method for resource selection. | Luo Si, James P. Callan |
| 2003 | SIGIR | The Effect of Database Size Distribution on Resource Selection Algorithms. | Luo Si, Jamie Callan |
| 2003 | UAI | Preference-based Graphic Models for Collaborative Filtering. | Rong Jin, Luo Si, ChengXiang Zhai |
| 2002 | CIKM | A language modeling framework for resource selection and results merging. | Luo Si, Rong Jin, James P. Callan, Paul Ogilvie |
| 2002 | SIGIR | Language model for IR using collection information. | Rong Jin, Luo Si, Alexander G. Hauptmann, James P. Callan |
| 2002 | SIGIR | Using sampled data and regression to merge search engine results. | Luo Si, James P. Callan |
| 2001 | CIKM | A Statistical Model for Scientific Readability. | Luo Si, James P. Callan |
| 2000 | Interspeech | Two-stage speaker identification system based on VQ and NBDGMM. | Luo Si, Qixiu Hu |
| 1998 | Interspeech | A high-performance text-independent speaker identification system based on BCDM. | Qin Jin, Luo Si, Qixiu Hu |