Si, Luo

34 publications

NeurIPS 2023 From Cloze to Comprehension: Retrofitting Pre-Trained Masked Language Models to Pre-Trained Machine Reader Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing

AAAI 2023 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

NeurIPS 2022 Decoupling Knowledge from Memorization: Retrieval-Augmented Prompt Learning Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

AAAI 2022 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

IJCAI 2021 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

AAAI 2021 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

AAAI 2021 Knowledge-Aware Named Entity Recognition with Alleviating Heterogeneity Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si

AAAI 2021 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

AAAI 2020 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

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, Guodong Zhou

ICLR 2020 StructBERT: Incorporating Language Structures into Pre-Training for Deep Language Understanding Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Jiangnan Xia, Liwei Peng, Luo Si

AAAI 2019 "Bilingual Expert" Can Find Translation Errors Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si

AAAI 2019 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

IJCAI 2019 Self-Attentive Biaffine Dependency Parsing Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si

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

AAAI 2019 Unsupervised Learning Helps Supervised Neural Word Segmentation Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si

AAAI 2018 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

IJCAI 2018 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

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

IJCAI 2015 Learning to Hash on Partial Multi-Modal Data Qifan Wang, Luo Si, Bin Shen

AAAI 2015 Learning to Hash on Structured Data Qifan Wang, Luo Si, Bin Shen

IJCAI 2015 Ranking Preserving Hashing for Fast Similarity Search Qifan Wang, Zhiwei Zhang, Luo Si

AAAI 2014 Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification Qifan Wang, Lingyun Ruan, Luo Si

ECCV 2014 Binary Codes Embedding for Fast Image Tagging with Incomplete Labels Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si

ECCV 2014 Learning to Hash with Partial Tags: Exploring Correlation Between Tags and Hashing Bits for Large Scale Image Retrieval Qifan Wang, Luo Si, Dan Zhang

ICML 2013 MILEAGE: Multiple Instance LEArning with Global Embedding Dan Zhang, Jingrui He, Luo Si, Richard Lawrence

ECCV 2012 A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification Qifan Wang, Luo Si, Dan Zhang

NeurIPS 2011 Multiple Instance Learning on Structured Data Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence

AAAI 2010 Non-Negative Matrix Factorization Clustering on Multiple Manifolds Bin Shen, Luo Si

IJCAI 2009 M3IC: Maximum Margin Multiple Instance Clustering Dan Zhang, Fei Wang, Luo Si, Tao Li

ICML 2005 Learn to Weight Terms in Information Retrieval Using Category Information Rong Jin, Joyce Y. Chai, Luo Si

UAI 2004 A Bayesian Approach Toward Active Learning for Collaborative Filtering Rong Jin, Luo Si

ICML 2003 Flexible Mixture Model for Collaborative Filtering Luo Si, Rong Jin

UAI 2003 Preference-Based Graphic Models for Collaborative Filtering Rong Jin, Luo Si, ChengXiang Zhai