Luo Si

322 papers A* 90A 25B 11Misc 2Journal 113Unranked 79
YearRankTypeTitle / Venue / Authors
2026 J jnl
Whisper-MLA: Reducing GPU Memory Consumption of ASR Models based on MHA2MLA Conversion.
CoRR
Sen Zhang, Jianguo Wei, Wenhuan Lu, Xianghu Yue, Wei Li, Qiang Li, Pengcheng Zhao, Ming Cai, Luo Si
2025 J jnl
Bi-VLDoc: bidirectional vision-language modeling for visually-rich document understanding.
Int. J. Document Anal. Recognit.
Chuwei Luo, Guozhi Tang, Qi Zheng, Cong Yao, Lianwen Jin, Chenliang Li, Yang Xue, Luo Si
2024 J jnl
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.
IEEE ACM Trans. Audio Speech Lang. Process.
Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen
2023 — conf
A Simple Concatenation can Effectively Improve Speech Translation.
ACL (2)
Linlin Zhang, Kai Fan, Boxing Chen, Luo Si
2023 J jnl
ACM WSDM 2023 Report.
SIGWEB Newsl.
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
2023 J jnl
Achieving Human Parity on Visual Question Answering.
ACM Trans. Inf. Syst.
Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin
2023 J jnl
Continual Multimodal Knowledge Graph Construction.
CoRR
Xiang Chen, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Shumin Deng, Yongheng Wang, Luo Si, Huajun Chen, Ningyu Zhang
2023 — conf
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering.
ACL (Findings)
Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang
2023 J jnl
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering.
CoRR
Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang
2023 A* conf
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.
NeurIPS
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing
2023 J jnl
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing.
CoRR
Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li
2023 A* conf
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing.
AAAI
Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li
2023 A ed.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.
WSDM
Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas
2023 J jnl
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023).
SIGIR Forum
Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins
2023 J jnl
Schema dependency-enhanced curriculum pre-training for table semantic parsing.
Knowl. Based Syst.
Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Binhua Li, Fei Huang, Luo Si, Qingshan Jiang, Yongbin Li
2023 — conf
Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model.
ICANN (3)
Linlin Zhang, Boxing Chen, Shaolin Zhu, Luo Si
2023 — conf
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.
ACL (1)
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing
2022 A* conf
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
EMNLP
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria
2022 J jnl
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
CoRR
Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria
2022 J jnl
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.
CoRR
Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li
2022 J jnl
Adaptive multi-task positive-unlabeled learning for joint prediction of multiple chronic diseases using online shopping behaviors.
Expert Syst. Appl.
Yongzhen Wang, Jun Lin, Sheng Bi, Changlong Sun, Luo Si, Xiaozhong Liu
2022 J jnl
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding.
CoRR
Chuwei Luo, Guozhi Tang, Qi Zheng, Cong Yao, Lianwen Jin, Chenliang Li, Yang Xue, Luo Si
2022 — conf
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
ACL (1)
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 A* conf
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
EMNLP
Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie
2022 J jnl
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
CoRR
Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie
2022 A* conf
ConNER: Consistency Training for Cross-lingual Named Entity Recognition.
EMNLP
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022 J jnl
ConNER: Consistency Training for Cross-lingual Named Entity Recognition.
CoRR
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022 Misc conf
Context-Adaptive Document-Level Neural Machine Translation.
ICASSP
Linlin Zhang, Zhirui Zhang, Boxing Chen, Weihua Luo, Luo Si
2022 A* conf
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.
NeurIPS
Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 J jnl
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.
CoRR
Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 J jnl
Disentangled representation for sequential treatment effect estimation.
Comput. Methods Programs Biomed.
Jiebin Chu, Yaoyun Zhang, Fei Huang, Luo Si, Songfang Huang, Zhengxing Huang
2022 — conf
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots.
EMNLP (Findings)
Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen
2022 J jnl
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots.
CoRR
Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen
2022 J jnl
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue System.
CoRR
Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li
2022 A* conf
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems.
KDD
Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li
2022 A* conf
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples.
EMNLP
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si
2022 A* conf
Estimating Soft Labels for Out-of-Domain Intent Detection.
EMNLP
Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
Estimating Soft Labels for Out-of-Domain Intent Detection.
CoRR
Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.
CoRR
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si
2022 A* conf
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection.
AAAI
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 — conf
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
ACL (1)
Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao
2022 — conf
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
NAACL-HLT (Findings)
Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 J jnl
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.
CoRR
Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 A* conf
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.
SIGIR
Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen
2022 J jnl
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.
CoRR
Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen
2022 — conf
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.
ACL (1)
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
2022 J jnl
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.
CoRR
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
2022 A* conf
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
WWW
Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 B conf
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.
COLING
Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang
2022 — conf
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER.
ACL (1)
Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022 — conf
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation.
ACL (Findings)
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
2022 A* conf
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
KDD
Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
CoRR
Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Fei Huang, Luo Si, Yongbin Li
2022 A* conf
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.
SIGIR
Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 J jnl
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.
CoRR
Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2022 — conf
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
ACL (Findings)
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
2022 J jnl
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
CoRR
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
2022 B conf
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding.
COLING
Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding.
CoRR
Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.
CoRR
Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li
2022 — conf
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.
EMNLP (Findings)
Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.
CoRR
Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li
2022 B conf
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.
COLING
Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li
2022 J jnl
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.
CoRR
Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li
2022 A* conf
SentBS: Sentence-level Beam Search for Controllable Summarization.
EMNLP
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
2022 J jnl
SentBS: Sentence-level Beam Search for Controllable Summarization.
CoRR
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
2022 — conf
Towards Generalizable and Robust Text-to-SQL Parsing.
EMNLP (Findings)
Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li
2022 J jnl
Towards Generalizable and Robust Text-to-SQL Parsing.
CoRR
Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li
2022 B conf
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings.
COLING
Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si
2022 J jnl
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.
CoRR
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si
2022 A* conf
Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.
SIGIR
Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li
2022 A* conf
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
EMNLP
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 J jnl
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections.
CoRR
Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si
2021 — conf
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents.
NAACL-HLT
Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang
2021 J jnl
Achieving Human Parity on Visual Question Answering.
CoRR
Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Weihua Chen, Xianzhe Xu, Fan Wang, Zheng Cao, Zhicheng Zhang, Qiyu Zhang, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin
2021 — conf
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding.
ACL/IJCNLP (1)
Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si
2021 J jnl
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen
2021 J jnl
Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine's Day Purchases.
Data Inf. Manag.
Yongzhen Wang, Xiaozhong Liu, Yingnan Ju, Katy Börner, Jun Lin, Changlong Sun, Luo Si
2021 — conf
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings.
EMNLP (1)
Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si
2021 J jnl
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings.
CoRR
Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si
2021 A* conf
Document-level Relation Extraction as Semantic Segmentation.
IJCAI
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
2021 J jnl
Document-level Relation Extraction as Semantic Segmentation.
CoRR
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen
2021 A* conf
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing.
AAAI
Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu
2021 J jnl
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing.
CoRR
Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu
2021 J jnl
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection.
CoRR
Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li
2021 J jnl
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
CoRR
Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao
2021 J jnl
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.
CoRR
Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen
2021 J jnl
Knowledge Based Multilingual Language Model.
CoRR
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si
2021 A* conf
Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity.
AAAI
Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si
2021 J jnl
Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy.
CoRR
Yongzhen Wang, Xiaozhong Liu, Katy Börner, Jun Lin, Yingnan Ju, Changlong Sun, Luo Si
2021 J jnl
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
CoRR
Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang
2021 J jnl
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER.
CoRR
Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2021 J jnl
MReD: A Meta-Review Dataset for Controllable Text Generation.
CoRR
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
2021 — conf
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.
ACL/IJCNLP (1)
Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao
2021 — conf
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
ACL/IJCNLP (1)
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
2021 J jnl
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
CoRR
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
2021 — conf
Overview of Argumentative Text Understanding for AI Debater Challenge.
NLPCC (2)
Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang
2021 J jnl
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking.
CoRR
Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu
2021 — conf
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking.
ACL/IJCNLP (2)
Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu
2021 A* conf
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion.
SIGIR
Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
2021 J jnl
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion.
CoRR
Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si
2021 A* conf
Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information.
SIGIR
Yingchi Liu, Quanzhi Li, Changlong Sun, Luo Si
2021 — conf
StructuralLM: Structural Pre-training for Form Understanding.
ACL/IJCNLP (1)
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
2021 J jnl
StructuralLM: Structural Pre-training for Form Understanding.
CoRR
Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
2021 J jnl
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings.
CoRR
Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si
2021 A* conf
Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder.
AAAI
Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si
2021 — conf
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation.
ACL/IJCNLP (1)
Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si
2020 — conf
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning.
EMNLP (1)
Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si
2020 A* conf
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling.
ACL
Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou
2020 A conf
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection.
ECAI
Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu
2020 J jnl
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks.
CoRR
Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao
2020 — conf
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks.
EMNLP (1)
Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao
2020 — conf
De-Biased Court's View Generation with Causality.
EMNLP (1)
Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu
2020 — conf
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.
EMNLP (1)
Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si
2020 A* conf
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
AAAI
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
2020 J jnl
Knowledge Graph Empowered Entity Description Generation.
CoRR
Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si
2020 — conf
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue.
EMNLP (Findings)
Weisheng Zhang, Kaisong Song, Yangyang Kang, Zhongqing Wang, Changlong Sun, Xiaozhong Liu, Shoushan Li, Min Zhang, Luo Si
2020 — conf
Natural Language Technologies for Internet Applications.
JCDL
Luo Si
2020 — conf
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
EMNLP (1)
Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
2020 J jnl
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation.
CoRR
Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si
2020 A* conf
Review-based Question Generation with Adaptive Instance Transfer and Augmentation.
ACL
Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si
2020 J jnl
Romance in China: Mining and Visualizing 10 Million Alibaba Valentine Purchases.
CoRR
Yongzhen Wang, Xiaozhong Liu, Yingnan Ju, Katy Börner, Jun Lin, Changlong Sun, Luo Si
2020 A* conf
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning.
AAAI
Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou
2020 A* conf
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.
ICLR
Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si
2020 J jnl
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation.
CoRR
Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si
2019 A* conf
"Bilingual Expert" Can Find Translation Errors.
AAAI
Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si
2019 A* conf
A Deep Cascade Model for Multi-Document Reading Comprehension.
AAAI
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
2019 — conf
A Neural Multi-digraph Model for Chinese NER with Gazetteers.
ACL (1)
Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si
2019 — conf
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network.
ACL (1)
Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou
2019 — conf
DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution.
SemEval@NAACL-HLT
Xiaobin Wang, Chunping Ma, Huafei Zheng, Chu Liu, Pengjun Xie, Linlin Li, Luo Si
2019 — conf
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation.
EMNLP/IJCNLP (1)
Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu
2019 J jnl
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation.
CoRR
Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu
2019 A* conf
Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model.
SIGIR
Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang, Luo Si
2019 — conf
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning.
EMNLP/IJCNLP (1)
Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou
2019 J jnl
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning.
CoRR
Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou
2019 — conf
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.
TREC
Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si
2019 J jnl
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis.
CoRR
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
2019 A* conf
Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation.
SIGIR
Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Luo Si
2019 J jnl
Multi-Instance Learning for End-to-End Knowledge Base Question Answering.
CoRR
Mengxi Wei, Yifan He, Qiong Zhang, Luo Si
2019 — conf
Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing.
NLPCC (2)
Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si
2019 — ed.
Proceedings of the SIGIR 2017 Workshop On eCommerce co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, eCOM@SIGIR 2017, Tokyo, Japan, August 11, 2017.
eCOM@SIGIR
Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu
2019 J jnl
Review-based Question Generation with Adaptive Instance Transfer and Augmentation.
CoRR
Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si
2019 — conf
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning.
ACL (1)
Quanzhi Li, Qiong Zhang, Luo Si
2019 J jnl
Rumor Detection on Social Media: Datasets, Methods and Opportunities.
CoRR
Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu
2019 A* conf
Self-attentive Biaffine Dependency Parsing.
IJCAI
Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si
2019 — conf
Semi-supervised Domain Adaptation for Dependency Parsing.
ACL (1)
Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si
2019 A conf
Sexual Harassment Story Classification and Key Information Identification.
CIKM
Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si
2019 J jnl
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.
CoRR
Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, Luo Si
2019 J jnl
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.
CoRR
Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang
2019 A* conf
Syntax-Aware Neural Semantic Role Labeling.
AAAI
Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si
2019 — conf
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling.
EMNLP/IJCNLP (1)
Yue Zhang, Rui Wang, Luo Si
2019 J jnl
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling.
CoRR
Yue Zhang, Rui Wang, Luo Si
2019 J jnl
Syntax-aware Neural Semantic Role Labeling.
CoRR
Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si
2019 J jnl
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs.
CoRR
Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si
2019 A* conf
TweetSenti: Target-dependent Tweet Sentiment Analysis.
WWW
Quanzhi Li, Qiong Zhang, Luo Si
2019 — conf
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization.
EMNLP/IJCNLP (1)
Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si
2019 J jnl
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization.
CoRR
Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si
2019 A* conf
Unsupervised Learning Helps Supervised Neural Word Segmentation.
AAAI
Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si
2019 — conf
eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information.
SemEval@NAACL-HLT
Quanzhi Li, Qiong Zhang, Luo Si
2018 J jnl
A Deep Cascade Model for Multi-Document Reading Comprehension.
CoRR
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
2018 A* conf
A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data.
AAAI
Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan
2018 J jnl
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data.
CoRR
Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan
2018 A* conf
A Unified Syntax-aware Framework for Semantic Role Labeling.
EMNLP
Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si
2018 — conf
Alibaba Submission for WMT18 Quality Estimation Task.
WMT (shared task)
Jiayi Wang, Kai Fan, Bo Li, Fengming Zhou, Boxing Chen, Yangbin Shi, Luo Si
2018 A conf
An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity.
ECIR
Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si
2018 A* conf
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks.
IJCAI
Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou
2018 — conf
Document Information Assisted Event Trigger Detection.
IEEE BigData
Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Luo Si
2018 — conf
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding.
NAACL-HLT (2)
Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si
2018 — conf
NAI-SEA at SemEval-2018 Task 5: An Event Search System.
SemEval@NAACL-HLT
Yingchi Liu, Quanzhi Li, Luo Si
2018 — conf
NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach.
SemEval@NAACL-HLT
Wei Qiu, Mosha Chen, Linlin Li, Luo Si
2018 B conf
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network.
COLING
Lu Wang, Shoushan Li, Changlong Sun, Luo Si, Xiaozhong Liu, Min Zhang, Guodong Zhou
2018 A* conf
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.
KDD
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
2018 J jnl
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks.
CoRR
Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si
2018 A* conf
Sentiment Classification towards Question-Answering with Hierarchical Matching Network.
EMNLP
Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou
2018 — conf
Supervised Treebank Conversion: Data and Approaches.
ACL (1)
Xinzhou Jiang, Zhenghua Li, Bo Zhang, Min Zhang, Sheng Li, Luo Si
2017 — conf
Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases.
IJCNLP (Shared Tasks)
Xin Zhou, Jian Wang, Xu Xie, Changlong Sun, Luo Si
2017 A* conf
Cascade Ranking for Operational E-commerce Search.
KDD
Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si
2017 J jnl
Cascade Ranking for Operational E-commerce Search.
CoRR
Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si
2017 J jnl
Detecting temporal patterns of user queries.
J. Assoc. Inf. Sci. Technol.
Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang
2017 J jnl
Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016.
CoRR
Chen Wu, Ming Yan, Luo Si
2017 — conf
Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency.
TAC
Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si
2017 A* conf
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach.
SIGIR
Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang
2017 J jnl
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach.
CoRR
Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang
2017 J jnl
Report on the SIGIR 2017 Workshop on eCommerce (ECOM17).
SIGIR Forum
Jon Degenhardt, Surya Kallumadi, Yiu-Chang Lin, Maarten de Rijke, Luo Si, Andrew Trotman, Sindhuja Venkatesh, Yinghui Xu
2017 A* conf
SIGIR 2017 Workshop on eCommerce (ECOM17).
SIGIR
Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu
2017 — conf
SMART: Sponsored mobile app recommendation by balancing app downloads and appstore profit.
IEEE BigData
Zhiwei Zhang, Ning Chen, Jun Wang, Luo Si
2017 J jnl
Session-aware Information Embedding for E-commerce Product Recommendation.
CoRR
Chen Wu, Ming Yan, Luo Si
2016 J jnl
General, Nested, and Constrained Wiberg Minimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson
2016 A conf
HERCULE: attack story reconstruction via community discovery on correlated log graph.
ACSAC
Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu
2016 A* conf
Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection.
SIGIR
Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao
2016 A ed.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016
CIKM
Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi
2016 A conf
Supervised Local Contexts Aggregation for Effective Session Search.
ECIR
Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si
2015 J jnl
A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code.
IEEE Trans. Dependable Secur. Comput.
Lei Cen, Christopher S. Gates, Luo Si, Ninghui Li
2015 A* conf
An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.
SIGIR
Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin
2015 A* conf
Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model.
IJCAI
Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si
2015 A* conf
LDTM: A Latent Document Type Model for Cumulative Citation Recommendation.
EMNLP
Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, Chin-Yew Lin
2015 A conf
LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis.
DSN
Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu
2015 J jnl
Latent Discriminative Models for Social Emotion Detection with Emotional Dependency.
ACM Trans. Inf. Syst.
Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu
2015 A* conf
Learning to Hash on Partial Multi-Modal Data.
IJCAI
Qifan Wang, Luo Si, Bin Shen
2015 A* conf
Learning to Hash on Structured Data.
AAAI
Qifan Wang, Luo Si, Bin Shen
2015 A conf
Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments.
SDM
Lei Cen, Deguang Kong, Hongxia Jin, Luo Si
2015 J jnl
Privacy-Preserving and Efficient Friend Recommendation in Online Social Networks.
Trans. Data Priv.
Bharath K. Samanthula, Lei Cen, Wei Jiang, Luo Si
2015 A* conf
Ranking Preserving Hashing for Fast Similarity Search.
IJCAI
Qifan Wang, Zhiwei Zhang, Luo Si
2015 J jnl
Related entity finding by unified probabilistic models.
World Wide Web
Yi Fang, Luo Si
2014 J jnl
A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems.
CoRR
Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhang, Joo Young Park, Ron Tzur
2014 A* conf
Active hashing with joint data example and tag selection.
SIGIR
Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang
2014 A* conf
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification.
AAAI
Qifan Wang, Lingyun Ruan, Luo Si
2014 — conf
BIT and Purdue at TREC-KBA-CCR Track 2014.
TREC
Jingang Wang, Ning Zhang, Zhiwei Zhang, Dandan Song, Luo Si, Lejian Liao
2014 — conf
Binary Codes Embedding for Fast Image Tagging with Incomplete Labels.
ECCV (2)
Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si
2014 A* conf
Cross-domain and cross-category emotion tagging for comments of online news.
SIGIR
Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan
2014 — conf
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval.
ECCV (3)
Qifan Wang, Luo Si, Dan Zhang
2014 J jnl
PIR 2014 The First International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security.
SIGIR Forum
Luo Si, Hui Yang
2014 A* conf
Preference preserving hashing for efficient recommendation.
SIGIR
Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si
2014 A* conf
Privacy-preserving IR: when information retrieval meets privacy and security.
SIGIR
Luo Si, Hui Yang
2014 — conf
ProbKS: Keyword Search on Probabilistic Spatial Data.
DASFAA Workshops
Feng Gao, Rohit Jain, Sunil Prabhakar, Luo Si
2014 — ed.
Proceeding of the 1st International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with 37th Annual International ACM SIGIR conference, PIR@SIGIR 2014, Gold Coast, Australia, July 11, 2014.
PIR@SIGIR
Luo Si, Hui Yang
2014 B conf
Relevancy prediction of micro-blog questions in an educational setting.
EDM
Mariheida Cordova-Sanchez, Parameswaran Raman, Luo Si, Jason Fish
2014 A conf
Sparse Semantic Hashing for Efficient Large Scale Similarity Search.
CIKM
Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si
2014 — conf
User Comment Analysis for Android apps and CSPI Detection with Comment Expansion.
PIR@SIGIR
Lei Cen, Luo Si, Ninghui Li, Hongxia Jin
2014 — conf
Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media.
SNAKDD
Dan Zhang, Yan Liu, Luo Si
2013 A* conf
Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion.
SIGIR
Lei Cen, Eduard C. Dragut, Luo Si, Mourad Ouzzani
2013 J jnl
Forecasting user visits for online display advertising.
Inf. Retr.
Suleyman Cetintas, Datong Chen, Luo Si
2013 A conf
Learning compact hashing codes for efficient tag completion and prediction.
CIKM
Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si
2013 — conf
MILEAGE: Multiple Instance LEArning with Global Embedding.
ICML (3)
Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence
2013 A conf
Probabilistic latent class models for predicting student performance.
CIKM
Suleyman Cetintas, Luo Si, Yan Ping Xin, Ron Tzur
2013 A* conf
Search result diversification in resource selection for federated search.
SIGIR
Dzung Hong, Luo Si
2013 A* conf
Semantic hashing using tags and topic modeling.
SIGIR
Qifan Wang, Dan Zhang, Luo Si
2013 A conf
Weighted hashing for fast large scale similarity search.
CIKM
Qifan Wang, Dan Zhang, Luo Si
2012 J jnl
A Bayesian Approach toward Active Learning for Collaborative Filtering
CoRR
Rong Jin, Luo Si
2012 — conf
A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification.
ECCV (4)
Qifan Wang, Luo Si, Dan Zhang
2012 A conf
A latent pairwise preference learning approach for recommendation from implicit feedback.
CIKM
Yi Fang, Luo Si
2012 J jnl
Effective query generation and postprocessing strategies for prior art patent search.
J. Assoc. Inf. Sci. Technol.
Suleyman Cetintas, Luo Si
2012 A* conf
Emotion tagging for comments of online news by meta classification with heterogeneous information sources.
SIGIR
Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan
2012 J jnl
Expertise Retrieval.
Found. Trends Inf. Retr.
Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, Luo Si
2012 B conf
Initial results of using an intelligent tutoring system with Alice.
ITiCSE
Stephen Cooper, Yoon Jae Nam, Luo Si
2012 A conf
Mining contrastive opinions on political texts using cross-perspective topic model.
WSDM
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
2012 A* conf
Mixture model with multiple centralized retrieval algorithms for result merging in federated search.
SIGIR
Dzung Hong, Luo Si
2012 J jnl
Preference-based Graphic Models for Collaborative Filtering
CoRR
Rong Jin, Luo Si, ChengXiang Zhai
2012 J jnl
Robust Nonnegative Matrix Factorization via L
CoRR
Bin Shen, Luo Si, Rongrong Ji, Bao-Di Liu
2012 J jnl
Sentiment detection with auxiliary data.
Inf. Retr.
Dan Zhang, Luo Si, Vernon Rego
2012 J jnl
t-Plausibility: Generalizing Words to Desensitize Text.
Trans. Data Priv.
Balamurugan Anandan, Chris Clifton, Wei Jiang, Mummoorthy Murugesan, Pedro Pastrana-Camacho, Luo Si
2011 — conf
A robust one-class bayesian approach for masquerade detection.
AISec
Qifan Wang, Luo Si
2011 A* conf
A weighted curve fitting method for result merging in federated search.
SIGIR
Chuan He, Dzung Hong, Luo Si
2011 A* conf
Analysis of an expert search query log.
SIGIR
Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur
2011 A* conf
Composite hashing with multiple information sources.
SIGIR
Dan Zhang, Fei Wang, Luo Si
2011 J jnl
Discriminative probabilistic models for expert search in heterogeneous information sources.
Inf. Retr.
Yi Fang, Luo Si, Aditya P. Mathur
2011 A* conf
Document clustering with universum.
SIGIR
Dan Zhang, Jingdong Wang, Luo Si
2011 J jnl
Federated Search.
Found. Trends Inf. Retr.
Milad Shokouhi, Luo Si
2011 A* conf
Forecasting counts of user visits for online display advertising with probabilistic latent class models.
SIGIR
Suleyman Cetintas, Datong Chen, Luo Si, Bin Shen, Zhanibek Datbayev
2011 A* conf
Identifying similar people in professional social networks with discriminative probabilistic models.
SIGIR
Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang
2011 A* conf
Machine learning for information retrieval.
SIGIR
Luo Si, Rong Jin
2011 — conf
Matrix co-factorization for recommendation with rich side information and implicit feedback.
HetRec@RecSys
Yi Fang, Luo Si
2011 J jnl
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering.
IEEE Trans. Neural Networks
Dan Zhang, Fei Wang, Luo Si, Tao Li
2011 J jnl
Microblogging in a Classroom: Classifying Students' Relevant and Irrelevant Questions in a Microblogging-Supported Classroom.
IEEE Trans. Learn. Technol.
Suleyman Cetintas, Luo Si, Hans Aagard, Kyle Bowen, Mariheida Cordova-Sanchez
2011 A* conf
Multi-view transfer learning with a large margin approach.
KDD
Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence
2011 — conf
Multiple Instance Learning on Structured Data.
NIPS
Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence
2011 — conf
Query Expansion and Message-Passing Algorithms for TREC Microblog Track.
TREC
Dzung Hong, Qifan Wang, Dan Zhang, Luo Si
2011 A* conf
Serendipitous learning: learning beyond the predefined label space.
KDD
Dan Zhang, Yan Liu, Luo Si
2010 A* conf
A joint probabilistic classification model for resource selection.
SIGIR
Dzung Hong, Luo Si, Paul J. Bracke, Michael Witt, Tim Juchcinski
2010 J jnl
Automatic Detection of Off-Task Behaviors in Intelligent Tutoring Systems with Machine Learning Techniques.
IEEE Trans. Learn. Technol.
Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord
2010 J jnl
Combining evidence with a probabilistic framework for answer ranking and answer merging in question answering.
Inf. Process. Manag.
Jeongwoo Ko, Luo Si, Eric Nyberg
2010 J jnl
Discriminative graphical models for faculty homepage discovery.
Inf. Retr.
Yi Fang, Luo Si, Aditya P. Mathur
2010 A* conf
Discriminative models of integrating document evidence and document-candidate associations for expert search.
SIGIR
Yi Fang, Luo Si, Aditya P. Mathur
2010 J jnl
Efficient privacy-preserving similar document detection.
VLDB J.
Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si, Jaideep Vaidya
2010 B conf
Learning to Identify Students' Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom.
Intelligent Tutoring Systems (2)
Suleyman Cetintas, Luo Si, Sugato Chakravarty, Hans Aagard, Kyle Bowen
2010 A* conf
Non-Negative Matrix Factorization Clustering on Multiple Manifolds.
AAAI
Bin Shen, Luo Si
2010 B conf
Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach.
Intelligent Tutoring Systems (1)
Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord
2010 J jnl
Probabilistic models for answer-ranking in multilingual question-answering.
ACM Trans. Inf. Syst.
Jeongwoo Ko, Luo Si, Eric Nyberg, Teruko Mitamura
2010 — conf
Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities.
TREC
Yi Fang, Luo Si, Naveen Somasundaram, Salman Al-Ansari, Zhengtao Yu, Yantuan Xian
2009 Misc conf
Automatic Text Categorization of Mathematical Word Problems.
FLAIRS
Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhang, Joo Young Park
2009 — conf
Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers.
TREC
Yi Fang, Luo Si, Zhengtao Yu, Yantuan Xian, Yangbo Xu
2009 A conf
Learning from past queries for resource selection.
CIKM
Suleyman Cetintas, Luo Si, Hao Yuan
2009 A conf
Learning to Identify Students' Off-Task Behavior in Intelligent Tutoring Systems.
AIED
Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord, Dake Zhang
2009 A* conf
M3IC: Maximum Margin Multiple Instance Clustering.
IJCAI
Dan Zhang, Fei Wang, Luo Si, Tao Li
2009 A* conf
Modeling search response time.
SIGIR
Dan Zhang, Luo Si
2009 — conf
Multiple Instance Transfer Learning.
ICDM Workshops
Dan Zhang, Luo Si
2009 B conf
Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems.
EDM
Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord
2009 — conf
Strategies for Effective Chemical Information Retrieval.
TREC
Suleyman Cetintas, Luo Si
2009 — conf
t-Plausibility: Semantic Preserving Text Sanitization.
CSE (3)
Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si
2008 J jnl
A Bayesian framework for knowledge driven regression model in micro-array data analysis.
Int. J. Data Min. Bioinform.
Rong Jin, Luo Si, Christina Chan
2008 J jnl
An effective and efficient results merging strategy for multilingual information retrieval in federated search environments.
Inf. Retr.
Luo Si, Jamie Callan, Suleyman Cetintas, Hao Yuan
2008 J jnl
Combining gene sequence similarity and textual information for gene function annotation in the literature.
Inf. Retr.
Luo Si, Danni Yu, Daisuke Kihara, Yi Fang
2008 A* conf
Discriminative probabilistic models for passage based retrieval.
SIGIR
Mengqiu Wang, Luo Si
2008 A* conf
Similar Document Detection with Limited Information Disclosure.
ICDE
Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si
2007 — conf
A Probabilistic Framework for Answer Selection in Question Answering.
HLT-NAACL
Jeongwoo Ko, Luo Si, Eric Nyberg
2007 A* conf
A probabilistic graphical model for joint answer ranking in question answering.
SIGIR
Jeongwoo Ko, Eric Nyberg, Luo Si
2007 A* conf
Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search.
SIGIR
Suleyman Cetintas, Luo Si
2007 J jnl
Federated search of text search engines in uncooperative environments.
SIGIR Forum
Luo Si
2007 A* conf
Protecting source privacy in federated search.
SIGIR
Wei Jiang, Luo Si, Jing Li
2006 — conf
A Knowledge Driven Regression Model for Gene Expression and Microarray Analysis.
EMBC
Rong Jin, Luo Si, Shireesh Srivastava, Zheng Li, Christina Chan
2006 J jnl
A study of mixture models for collaborative filtering.
Inf. Retr.
Rong Jin, Luo Si, ChengXiang Zhai
2006 J jnl
Collaborative image retrieval via regularized metric learning.
Multim. Syst.
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
2006 — conf
Combining Multiple Resources, Evidences and Criteria for Genomic Information Retrieval.
TREC
Luo Si, Jie Lu, Jamie Callan
2006 — conf
Knowledge Transfer and Opinion Detection in the TREC 2006 Blog Track.
TREC
Hui Yang, Jamie Callan, Luo Si
2006 J jnl
The FedLemur project: Federated search in the real world.
J. Assoc. Inf. Sci. Technol.
Thi Truong Avrahami, Lawrence Yau, Luo Si, James P. Callan
2005 B conf
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis.
PAKDD
Luo Si, Rong Jin
2005 — conf
Boosting performance of bio-entity recognition by combining results from multiple systems.
BIOKDD
Luo Si, Tapas Kanungo, Xiangji Huang
2005 — conf
CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists.
CLEF
Luo Si, Jamie Callan
2005 — conf
CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists.
CLEF (Working Notes)
Luo Si, Jamie Callan
2005 A* conf
Learn to weight terms in information retrieval using category information.
ICML
Rong Jin, Joyce Y. Chai, Luo Si
2005 A* conf
Modeling search engine effectiveness for federated search.
SIGIR
Luo Si, Jamie Callan
2005 — conf
Thresholding Strategies for Text Classifiers: TREC 2005 Biomedical Triage Task Experiments.
TREC
Luo Si, Tapas Kanungo
2005 — conf
York University at TREC 2005: Genomics Track.
TREC
Xiangji Huang, Ming Zhong, Luo Si
2004 A conf
A Bayesian Approach toward Active Learning for Collaborative Filtering.
UAI
Rong Jin, Luo Si
2004 A* conf
A study of methods for normalizing user ratings in collaborative filtering.
SIGIR
Rong Jin, Luo Si
2004 A* conf
An automatic weighting scheme for collaborative filtering.
SIGIR
Rong Jin, Joyce Y. Chai, Luo Si
2004 A* conf
Effect of varying number of documents in blind feedback: analysis of the 2003 NRRC RIA workshop "bf_numdocs" experiment suite.
SIGIR
Jesse Montgomery, Luo Si, Jamie Callan, David A. Evans
2004 A* conf
Effective automatic image annotation via a coherent language model and active learning.
ACM Multimedia
Rong Jin, Joyce Y. Chai, Luo Si
2004 A conf
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model.
CIKM
Luo Si, Rong Jin
2004 A conf
Unified utility maximization framework for resource selection.
CIKM
Luo Si, James P. Callan
2003 J jnl
A semisupervised learning method to merge search engine results.
ACM Trans. Inf. Syst.
Luo Si, Jamie Callan
2003 A conf
Collaborative filtering with decoupled models for preferences and ratings.
CIKM
Rong Jin, Luo Si, ChengXiang Zhai, James P. Callan
2003 A* conf
Flexible Mixture Model for Collaborative Filtering.
ICML
Luo Si, Rong Jin
2003 A conf
Preference-based Graphic Models for Collaborative Filtering.
UAI
Rong Jin, Luo Si, ChengXiang Zhai
2003 A* conf
Relevant document distribution estimation method for resource selection.
SIGIR
Luo Si, James P. Callan
2003 — conf
The Effect of Database Size Distribution on Resource Selection Algorithms.
Distributed Multimedia Information Retrieval
Luo Si, Jamie Callan
2002 A conf
A language modeling framework for resource selection and results merging.
CIKM
Luo Si, Rong Jin, James P. Callan, Paul Ogilvie
2002 A* conf
Language model for IR using collection information.
SIGIR
Rong Jin, Luo Si, Alexander G. Hauptmann, James P. Callan
2002 A* conf
Using sampled data and regression to merge search engine results.
SIGIR
Luo Si, James P. Callan
2001 A conf
A Statistical Model for Scientific Readability.
CIKM
Luo Si, James P. Callan
2000 A conf
Two-stage speaker identification system based on VQ and NBDGMM.
INTERSPEECH
Luo Si, Qixiu Hu
1998 — conf
A high-performance text-independent speaker identification system based on BCDM.
ICSLP
Qin Jin, Luo Si, Qixiu Hu