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2020 – today
- 2024
- [j38]Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen:
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1546-1558 (2024) - 2023
- [j37]Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Binhua Li, Fei Huang, Luo Si, Qingshan Jiang, Yongbin Li:
Schema dependency-enhanced curriculum pre-training for table semantic parsing. Knowl. Based Syst. 262: 110264 (2023) - [j36]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57(1): 8:1-8:5 (2023) - [j35]Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
ACM WSDM 2023 Report. SIGWEB Newsl. 2023(Spring): 1:1-1:6 (2023) - [j34]Ming Yan, Haiyang Xu, Chenliang Li, Junfeng Tian, Bin Bi, Wei Wang, Xianzhe Xu, Ji Zhang, Songfang Huang, Fei Huang, Luo Si, Rong Jin:
Achieving Human Parity on Visual Question Answering. ACM Trans. Inf. Syst. 41(3): 79:1-79:40 (2023) - [c204]Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. AAAI 2023: 13076-13084 - [c203]Linlin Zhang, Kai Fan, Boxing Chen, Luo Si:
A Simple Concatenation can Effectively Improve Speech Translation. ACL (2) 2023: 1793-1802 - [c202]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. ACL (1) 2023: 4799-4816 - [c201]Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang:
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. ACL (Findings) 2023: 13207-13224 - [c200]Linlin Zhang, Boxing Chen, Shaolin Zhu, Luo Si:
Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model. ICANN (3) 2023: 579-590 - [c199]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing:
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader. NeurIPS 2023 - [e4]Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. ACM 2023, ISBN 978-1-4503-9407-9 [contents] - [i73]Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. CoRR abs/2301.07507 (2023) - [i72]Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang:
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. CoRR abs/2305.08135 (2023) - [i71]Xiang Chen, Jintian Zhang, Xiaohan Wang, Tongtong Wu, Shumin Deng, Yongheng Wang, Luo Si, Huajun Chen, Ningyu Zhang:
Continual Multimodal Knowledge Graph Construction. CoRR abs/2305.08698 (2023) - 2022
- [j33]Jiebin Chu, Yaoyun Zhang, Fei Huang, Luo Si, Songfang Huang, Zhengxing Huang:
Disentangled representation for sequential treatment effect estimation. Comput. Methods Programs Biomed. 226: 107175 (2022) - [j32]Yongzhen Wang, Jun Lin, Sheng Bi, Changlong Sun, Luo Si, Xiaozhong Liu:
Adaptive multi-task positive-unlabeled learning for joint prediction of multiple chronic diseases using online shopping behaviors. Expert Syst. Appl. 191: 116232 (2022) - [c198]Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection. AAAI 2022: 10749-10757 - [c197]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. ACL (Findings) 2022: 45-57 - [c196]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. ACL (1) 2022: 1639-1657 - [c195]Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) 2022: 2251-2262 - [c194]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. ACL (1) 2022: 2277-2287 - [c193]Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si:
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. ACL (Findings) 2022: 2521-2535 - [c192]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:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c191]Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li:
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding. COLING 2022: 553-569 - [c190]Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. COLING 2022: 2374-2387 - [c189]Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si:
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. COLING 2022: 4381-4396 - [c188]Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li:
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. COLING 2022: 5298-5308 - [c187]Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Estimating Soft Labels for Out-of-Domain Intent Detection. EMNLP 2022: 261-276 - [c186]Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li:
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. EMNLP (Findings) 2022: 1235-1247 - [c185]Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen:
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots. EMNLP (Findings) 2022: 1820-1836 - [c184]Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Towards Generalizable and Robust Text-to-SQL Parsing. EMNLP (Findings) 2022: 2113-2125 - [c183]Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie:
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? EMNLP 2022: 4959-4970 - [c182]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. EMNLP 2022: 6878-6890 - [c181]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:
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. EMNLP 2022: 7241-7259 - [c180]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. EMNLP 2022: 8438-8449 - [c179]Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. EMNLP 2022: 10114-10133 - [c178]Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si:
SentBS: Sentence-level Beam Search for Controllable Summarization. EMNLP 2022: 10256-10265 - [c177]Linlin Zhang, Zhirui Zhang, Boxing Chen, Weihua Luo, Luo Si:
Context-Adaptive Document-Level Neural Machine Translation. ICASSP 2022: 6232-6236 - [c176]Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. KDD 2022: 1889-1898 - [c175]Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems. KDD 2022: 3299-3308 - [c174]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. NAACL-HLT (Findings) 2022: 1607-1618 - [c173]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. NeurIPS 2022 - [c172]Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. SIGIR 2022: 187-200 - [c171]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. SIGIR 2022: 904-915 - [c170]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. SIGIR 2022: 2443-2448 - [c169]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. WWW 2022: 2778-2788 - [i70]Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si:
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. CoRR abs/2203.09101 (2022) - [i69]Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si:
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. CoRR abs/2203.12257 (2022) - [i68]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. CoRR abs/2205.02355 (2022) - [i67]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. CoRR abs/2205.02357 (2022) - [i66]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. CoRR abs/2205.03521 (2022) - [i65]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:
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. CoRR abs/2205.12005 (2022) - [i64]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. CoRR abs/2205.14704 (2022) - [i63]Ting-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue System. CoRR abs/2205.15060 (2022) - [i62]Chuwei Luo, Guozhi Tang, Qi Zheng, Cong Yao, Lianwen Jin, Chenliang Li, Yang Xue, Luo Si:
Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding. CoRR abs/2206.13155 (2022) - [i61]Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing. CoRR abs/2206.14017 (2022) - [i60]Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li:
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions. CoRR abs/2208.13629 (2022) - [i59]Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li:
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers. CoRR abs/2209.06442 (2022) - [i58]Wanwei He, Yinpei Dai, Binyuan Hui, Min Yang, Zheng Cao, Jianbo Dong, Fei Huang, Luo Si, Yongbin Li:
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding. CoRR abs/2209.06638 (2022) - [i57]Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. CoRR abs/2209.06664 (2022) - [i56]Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen:
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots. CoRR abs/2210.11060 (2022) - [i55]Zefeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li:
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing. CoRR abs/2210.11888 (2022) - [i54]Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Towards Generalizable and Robust Text-to-SQL Parsing. CoRR abs/2210.12674 (2022) - [i53]Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si:
SentBS: Sentence-level Beam Search for Controllable Summarization. CoRR abs/2210.14502 (2022) - [i52]Hao Lang, Yinhe Zheng, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Estimating Soft Labels for Out-of-Domain Intent Detection. CoRR abs/2211.05561 (2022) - [i51]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. CoRR abs/2211.08794 (2022) - [i50]Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
ConNER: Consistency Training for Cross-lingual Named Entity Recognition. CoRR abs/2211.09394 (2022) - [i49]Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria:
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR abs/2211.10018 (2022) - [i48]Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie:
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? CoRR abs/2211.13865 (2022) - [i47]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si:
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. CoRR abs/2212.04755 (2022) - 2021
- [j31]Yongzhen Wang, Xiaozhong Liu, Yingnan Ju, Katy Börner, Jun Lin, Changlong Sun, Luo Si:
Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine's Day Purchases. Data Inf. Manag. 5(4): 363-371 (2021) - [c168]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. AAAI 2021: 13116-13124 - [c167]Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si:
Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. AAAI 2021: 13595-13603 - [c166]Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si:
Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. AAAI 2021: 13869-13877 - [c165]Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu:
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking. ACL/IJCNLP (2) 2021: 879-885 - [c164]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. ACL/IJCNLP (1) 2021: 2208-2222 - [c163]Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si:
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation. ACL/IJCNLP (1) 2021: 3980-3994 - [c162]Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao:
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. ACL/IJCNLP (1) 2021: 5834-5846 - [c161]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. ACL/IJCNLP (1) 2021: 6309-6318 - [c160]Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si:
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. ACL/IJCNLP (1) 2021: 6341-6353 - [c159]Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si:
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. EMNLP (1) 2021: 2396-2406 - [c158]Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. IJCAI 2021: 3999-4006 - [c157]Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang:
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents. NAACL-HLT 2021: 1795-1804 - [c156]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:
Overview of Argumentative Text Understanding for AI Debater Challenge. NLPCC (2) 2021: 548-568 - [c155]Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. SIGIR 2021: 213-222 - [c154]Yingchi Liu, Quanzhi Li, Changlong Sun, Luo Si:
Similar Trademark Detection via Semantic, Phonetic and Visual Similarity Information. SIGIR 2021: 2025-2030 - [i46]Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. CoRR abs/2101.01686 (2021) - [i45]Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si:
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. CoRR abs/2103.06459 (2021) - [i44]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. CoRR abs/2104.07650 (2021) - [i43]Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. CoRR abs/2104.13095 (2021) - [i42]Yongzhen Wang, Xiaozhong Liu, Katy Börner, Jun Lin, Yingnan Ju, Changlong Sun, Luo Si:
Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy. CoRR abs/2104.14281 (2021) - [i41]Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
StructuralLM: Structural Pre-training for Form Understanding. CoRR abs/2105.11210 (2021) - [i40]Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Xiaodan Zhu:
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking. CoRR abs/2106.00291 (2021) - [i39]Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si:
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. CoRR abs/2106.03164 (2021) - [i38]Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. CoRR abs/2106.03618 (2021) - [i37]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:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i36]Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao:
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. CoRR abs/2108.13655 (2021) - [i35]Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. CoRR abs/2109.00720 (2021) - [i34]Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si:
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. CoRR abs/2109.12599 (2021) - [i33]Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si:
MReD: A Meta-Review Dataset for Controllable Text Generation. CoRR abs/2110.07474 (2021) - [i32]Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao:
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. CoRR abs/2110.07679 (2021) - [i31]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:
Achieving Human Parity on Visual Question Answering. CoRR abs/2111.08896 (2021) - [i30]Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si:
Knowledge Based Multilingual Language Model. CoRR abs/2111.10962 (2021) - [i29]Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection. CoRR abs/2111.14592 (2021) - 2020
- [c153]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. AAAI 2020: 8600-8607 - [c152]Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. AAAI 2020: 9177-9184 - [c151]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. ACL 2020: 280-290 - [c150]Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou:
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. ACL 2020: 3667-3677 - [c149]Zheng Gao, Lujun Zhao, Heng Huang, Hongsong Li, Changlong Sun, Luo Si, Xiaozhong Liu:
Behavior Based Dynamic Summarization on Product Aspects via Reinforcement Neighbour Selection. ECAI 2020: 2022-2029 - [c148]Yiquan Wu, Kun Kuang, Yating Zhang, Xiaozhong Liu, Changlong Sun, Jun Xiao, Yueting Zhuang, Luo Si, Fei Wu:
De-Biased Court's View Generation with Causality. EMNLP (1) 2020: 763-780 - [c147]Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si:
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP (1) 2020: 1187-1197 - [c146]Weisheng Zhang, Kaisong Song, Yangyang Kang, Zhongqing Wang, Changlong Sun, Xiaozhong Liu, Shoushan Li, Min Zhang, Luo Si:
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue. EMNLP (Findings) 2020: 1981-1990 - [c145]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. EMNLP (1) 2020: 6045-6057 - [c144]Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si:
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. EMNLP (1) 2020: 7000-7011 - [c143]Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si:
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. EMNLP (1) 2020: 8681-8691 - [c142]Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. ICLR 2020 - [c141]Luo Si:
Natural Language Technologies for Internet Applications. JCDL 2020: 5 - [i28]Yongzhen Wang, Xiaozhong Liu, Yingnan Ju, Katy Börner, Jun Lin, Changlong Sun, Luo Si:
Romance in China: Mining and Visualizing 10 Million Alibaba Valentine Purchases. CoRR abs/2002.03060 (2020) - [i27]Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si:
Knowledge Graph Empowered Entity Description Generation. CoRR abs/2004.14813 (2020) - [i26]Fuli Luo, Wei Wang, Jiahao Liu, Yijia Liu, Bin Bi, Songfang Huang, Fei Huang, Luo Si:
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation. CoRR abs/2010.16046 (2020) - [i25]Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao:
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. CoRR abs/2011.01549 (2020)
2010 – 2019
- 2019
- [c140]Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si:
"Bilingual Expert" Can Find Translation Errors. AAAI 2019: 6367-6374 - [c139]Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si:
Unsupervised Learning Helps Supervised Neural Word Segmentation. AAAI 2019: 7200-7207 - [c138]Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-Aware Neural Semantic Role Labeling. AAAI 2019: 7305-7313 - [c137]Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. AAAI 2019: 7354-7361 - [c136]Quanzhi Li, Qiong Zhang, Luo Si:
Rumor Detection by Exploiting User Credibility Information, Attention and Multi-task Learning. ACL (1) 2019: 1173-1179 - [c135]Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si:
A Neural Multi-digraph Model for Chinese NER with Gazetteers. ACL (1) 2019: 1462-1467 - [c134]Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si:
Semi-supervised Domain Adaptation for Dependency Parsing. ACL (1) 2019: 2386-2395 - [c133]Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. ACL (1) 2019: 3548-3557 - [c132]Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si:
Sexual Harassment Story Classification and Key Information Identification. CIKM 2019: 2385-2388 - [c131]Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. EMNLP/IJCNLP (1) 2019: 616-626 - [c130]Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si:
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. EMNLP/IJCNLP (1) 2019: 2328-2337 - [c129]Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 5580-5589 - [c128]Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu:
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. EMNLP/IJCNLP (1) 2019: 6186-6195 - [c127]Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si:
Self-attentive Biaffine Dependency Parsing. IJCAI 2019: 5067-5073 - [c126]Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si:
Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing. NLPCC (2) 2019: 760-771 - [c125]Quanzhi Li, Qiong Zhang, Luo Si:
eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information. SemEval@NAACL-HLT 2019: 855-859 - [c124]Xiaobin Wang, Chunping Ma, Huafei Zheng, Chu Liu, Pengjun Xie, Linlin Li, Luo Si:
DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution. SemEval@NAACL-HLT 2019: 917-923 - [c123]Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Luo Si:
Legal Intelligence for E-commerce: Multi-task Learning by Leveraging Multiview Dispute Representation. SIGIR 2019: 315-324 - [c122]Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang, Luo Si:
Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model. SIGIR 2019: 365-374 - [c121]Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si:
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. TREC 2019 - [c120]Quanzhi Li, Qiong Zhang, Luo Si:
TweetSenti: Target-dependent Tweet Sentiment Analysis. WWW 2019: 3569-3573 - [e3]Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu:
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. CEUR Workshop Proceedings 2311, CEUR-WS.org 2019 [contents] - [i24]Mengxi Wei, Yifan He, Qiong Zhang, Luo Si:
Multi-Instance Learning for End-to-End Knowledge Base Question Answering. CoRR abs/1903.02652 (2019) - [i23]Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-aware Neural Semantic Role Labeling. CoRR abs/1907.09312 (2019) - [i22]Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Liwei Peng, Luo Si:
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. CoRR abs/1908.04577 (2019) - [i21]Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu:
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation. CoRR abs/1908.11561 (2019) - [i20]Xingyi Cheng, Weidi Xu, Kunlong Chen, Wei Wang, Bin Bi, Ming Yan, Chen Wu, Luo Si, Wei Chu, Taifeng Wang:
Symmetric Regularization based BERT for Pair-wise Semantic Reasoning. CoRR abs/1909.03405 (2019) - [i19]Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. CoRR abs/1910.09260 (2019) - [i18]Yue Zhang, Rui Wang, Luo Si:
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling. CoRR abs/1910.11204 (2019) - [i17]Yingchi Liu, Quanzhi Li, Marika Cifor, Xiaozhong Liu, Qiong Zhang, Luo Si:
Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization. CoRR abs/1911.00547 (2019) - [i16]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. CoRR abs/1911.01556 (2019) - [i15]Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si:
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis. CoRR abs/1911.01616 (2019) - [i14]Quanzhi Li, Qiong Zhang, Luo Si, Yingchi Liu:
Rumor Detection on Social Media: Datasets, Methods and Opportunities. CoRR abs/1911.07199 (2019) - [i13]Menghan Wang, Kun Zhang, Gulin Li, Keping Yang, Luo Si:
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs. CoRR abs/1912.05977 (2019) - 2018
- [c119]Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan:
A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data. AAAI 2018: 451-458 - [c118]Xinzhou Jiang, Zhenghua Li, Bo Zhang, Min Zhang, Sheng Li, Luo Si:
Supervised Treebank Conversion: Data and Approaches. ACL (1) 2018: 2706-2716 - [c117]Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Luo Si:
Document Information Assisted Event Trigger Detection. IEEE BigData 2018: 5383-5385 - [c116]Lu Wang, Shoushan Li, Changlong Sun, Luo Si, Xiaozhong Liu, Min Zhang, Guodong Zhou:
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network. COLING 2018: 2540-2550 - [c115]Junfeng Tian, Man Lan, Yuanbin Wu, Jingang Wang, Long Qiu, Sheng Li, Jun Lang, Luo Si:
An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity. ECIR 2018: 89-101 - [c114]Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si:
A Unified Syntax-aware Framework for Semantic Role Labeling. EMNLP 2018: 2401-2411 - [c113]Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification towards Question-Answering with Hierarchical Matching Network. EMNLP 2018: 3654-3663 - [c112]Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou:
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. IJCAI 2018: 4439-4445 - [c111]Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. KDD 2018: 596-605 - [c110]Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si:
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. NAACL-HLT (2) 2018: 346-351 - [c109]Yingchi Liu, Quanzhi Li, Luo Si:
NAI-SEA at SemEval-2018 Task 5: An Event Search System. SemEval@NAACL-HLT 2018: 674-678 - [c108]Wei Qiu, Mosha Chen, Linlin Li, Luo Si:
NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach. SemEval@NAACL-HLT 2018: 909-913 - [c107]Jiayi Wang, Kai Fan, Bo Li, Fengming Zhou, Boxing Chen, Yangbin Shi, Luo Si:
Alibaba Submission for WMT18 Quality Estimation Task. WMT (shared task) 2018: 809-815 - [i12]Jingang Wang, Junfeng Tian, Long Qiu, Sheng Li, Jun Lang, Luo Si, Man Lan:
A Multi-task Learning Approach for Improving Product Title Compression with User Search Log Data. CoRR abs/1801.01725 (2018) - [i11]Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. CoRR abs/1805.10727 (2018) - [i10]Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen:
A Deep Cascade Model for Multi-Document Reading Comprehension. CoRR abs/1811.11374 (2018) - 2017
- [j30]Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang:
Detecting temporal patterns of user queries. J. Assoc. Inf. Sci. Technol. 68(1): 113-128 (2017) - [j29]Jon Degenhardt, Surya Kallumadi, Yiu-Chang Lin, Maarten de Rijke, Luo Si, Andrew Trotman, Sindhuja Venkatesh, Yinghui Xu:
Report on the SIGIR 2017 Workshop on eCommerce (ECOM17). SIGIR Forum 51(3): 128-138 (2017) - [c106]Zhiwei Zhang, Ning Chen, Jun Wang, Luo Si:
SMART: Sponsored mobile app recommendation by balancing app downloads and appstore profit. IEEE BigData 2017: 1600-1609 - [c105]Xin Zhou, Jian Wang, Xu Xie, Changlong Sun, Luo Si:
Alibaba at IJCNLP-2017 Task 2: A Boosted Deep System for Dimensional Sentiment Analysis of Chinese Phrases. IJCNLP (Shared Tasks) 2017: 100-104 - [c104]Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si:
Cascade Ranking for Operational E-commerce Search. KDD 2017: 1557-1565 - [c103]Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang:
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. SIGIR 2017: 909-912 - [c102]Jon Degenhardt, Surya Kallumadi, Maarten de Rijke, Luo Si, Andrew Trotman, Yinghui Xu:
SIGIR 2017 Workshop on eCommerce (ECOM17). SIGIR 2017: 1425-1426 - [i9]Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si:
Improve Neural Mention Detection and Classification via Enforced Training and Inference Consistency. TAC 2017 - [i8]Shichen Liu, Fei Xiao, Wenwu Ou, Luo Si:
Cascade Ranking for Operational E-commerce Search. CoRR abs/1706.02093 (2017) - [i7]Chen Wu, Ming Yan, Luo Si:
Session-aware Information Embedding for E-commerce Product Recommendation. CoRR abs/1707.05955 (2017) - [i6]Huasha Zhao, Luo Si, Xiaogang Li, Qiong Zhang:
Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach. CoRR abs/1707.08113 (2017) - [i5]Chen Wu, Ming Yan, Luo Si:
Ensemble Methods for Personalized E-Commerce Search Challenge at CIKM Cup 2016. CoRR abs/1708.04479 (2017) - 2016
- [j28]Dennis Strelow, Qifan Wang, Luo Si, Anders P. Eriksson:
General, Nested, and Constrained Wiberg Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1803-1815 (2016) - [c101]Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, Dongyan Xu:
HERCULE: attack story reconstruction via community discovery on correlated log graph. ACSAC 2016: 583-595 - [c100]Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, Luo Si:
Supervised Local Contexts Aggregation for Effective Session Search. ECIR 2016: 58-71 - [c99]Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao:
Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. SIGIR 2016: 265-274 - [e2]Snehasis Mukhopadhyay, ChengXiang Zhai, Elisa Bertino, Fabio Crestani, Javed Mostafa, Jie Tang, Luo Si, Xiaofang Zhou, Yi Chang, Yunyao Li, Parikshit Sondhi:
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016. ACM 2016, ISBN 978-1-4503-4073-1 [contents] - 2015
- [j27]Bharath K. Samanthula, Lei Cen, Wei Jiang, Luo Si:
Privacy-Preserving and Efficient Friend Recommendation in Online Social Networks. Trans. Data Priv. 8(2): 141-171 (2015) - [j26]Lei Cen, Christopher S. Gates, Luo Si, Ninghui Li:
A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code. IEEE Trans. Dependable Secur. Comput. 12(4): 400-412 (2015) - [j25]Xiaojun Quan, Qifan Wang, Ying Zhang, Luo Si, Wenyin Liu:
Latent Discriminative Models for Social Emotion Detection with Emotional Dependency. ACM Trans. Inf. Syst. 34(1): 2:1-2:19 (2015) - [j24]Yi Fang, Luo Si:
Related entity finding by unified probabilistic models. World Wide Web 18(3): 521-543 (2015) - [c98]Qifan Wang, Luo Si, Bin Shen:
Learning to Hash on Structured Data. AAAI 2015: 3066-3072 - [c97]Zhongshu Gu, Kexin Pei, Qifan Wang, Luo Si, Xiangyu Zhang, Dongyan Xu:
LEAPS: Detecting Camouflaged Attacks with Statistical Learning Guided by Program Analysis. DSN 2015: 57-68 - [c96]Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, Chin-Yew Lin:
LDTM: A Latent Document Type Model for Cumulative Citation Recommendation. EMNLP 2015: 561-566 - [c95]Tao Wu, Qifan Wang, Zhiwei Zhang, Luo Si:
Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model. IJCAI 2015: 2305-2312 - [c94]Qifan Wang, Luo Si, Bin Shen:
Learning to Hash on Partial Multi-Modal Data. IJCAI 2015: 3904-3910 - [c93]Qifan Wang, Zhiwei Zhang, Luo Si:
Ranking Preserving Hashing for Fast Similarity Search. IJCAI 2015: 3911-3917 - [c92]Lei Cen, Deguang Kong, Hongxia Jin, Luo Si:
Mobile App Security Risk Assessment: A Crowdsourcing Ranking Approach from User Comments. SDM 2015: 658-666 - [c91]Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, Chin-Yew Lin:
An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation. SIGIR 2015: 635-644 - 2014
- [j23]Luo Si, Hui Yang:
PIR 2014 The First International Workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security. SIGIR Forum 48(2): 83-88 (2014) - [c90]Qifan Wang, Lingyun Ruan, Luo Si:
Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification. AAAI 2014: 1334-1340 - [c89]Qifan Wang, Bin Shen, Zhiwei Zhang, Luo Si:
Sparse Semantic Hashing for Efficient Large Scale Similarity Search. CIKM 2014: 1899-1902 - [c88]Feng Gao, Rohit Jain, Sunil Prabhakar, Luo Si:
ProbKS: Keyword Search on Probabilistic Spatial Data. DASFAA Workshops 2014: 388-402 - [c87]Qifan Wang, Luo Si, Dan Zhang:
Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval. ECCV (3) 2014: 378-392 - [c86]Qifan Wang, Bin Shen, Shumiao Wang, Liang Li, Luo Si:
Binary Codes Embedding for Fast Image Tagging with Incomplete Labels. ECCV (2) 2014: 425-439 - [c85]Mariheida Cordova-Sanchez, Parameswaran Raman, Luo Si, Jason Fish:
Relevancy prediction of micro-blog questions in an educational setting. EDM 2014: 415-416 - [c84]Dan Zhang, Yan Liu, Luo Si:
Which Tweets Will Be Headlines? A Hierarchical Bayesian Model for Bridging Social Media and Traditional Media. SNAKDD 2014: 5:1-5:9 - [c83]Lei Cen, Luo Si, Ninghui Li, Hongxia Jin:
User Comment Analysis for Android apps and CSPI Detection with Comment Expansion. PIR@SIGIR 2014: 25-30 - [c82]Zhiwei Zhang, Qifan Wang, Lingyun Ruan, Luo Si:
Preference preserving hashing for efficient recommendation. SIGIR 2014: 183-192 - [c81]Qifan Wang, Luo Si, Zhiwei Zhang, Ning Zhang:
Active hashing with joint data example and tag selection. SIGIR 2014: 405-414 - [c80]Ying Zhang, Ning Zhang, Luo Si, Yanshan Lu, Qifan Wang, Xiaojie Yuan:
Cross-domain and cross-category emotion tagging for comments of online news. SIGIR 2014: 627-636 - [c79]Luo Si, Hui Yang:
Privacy-preserving IR: when information retrieval meets privacy and security. SIGIR 2014: 1295 - [c78]Jingang Wang, Ning Zhang, Zhiwei Zhang, Dandan Song, Luo Si, Lejian Liao:
BIT and Purdue at TREC-KBA-CCR Track 2014. TREC 2014 - [e1]Luo Si, Hui Yang:
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. CEUR Workshop Proceedings 1225, CEUR-WS.org 2014 [contents] - [i4]Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhang, Joo Young Park, Ron Tzur:
A Joint Probabilistic Classification Model of Relevant and Irrelevant Sentences in Mathematical Word Problems. CoRR abs/1411.5732 (2014) - 2013
- [j22]Suleyman Cetintas, Datong Chen, Luo Si:
Forecasting user visits for online display advertising. Inf. Retr. 16(3): 369-390 (2013) - [c77]Qifan Wang, Dan Zhang, Luo Si:
Weighted hashing for fast large scale similarity search. CIKM 2013: 1185-1188 - [c76]Suleyman Cetintas, Luo Si, Yan Ping Xin, Ron Tzur:
Probabilistic latent class models for predicting student performance. CIKM 2013: 1513-1516 - [c75]Qifan Wang, Lingyun Ruan, Zhiwei Zhang, Luo Si:
Learning compact hashing codes for efficient tag completion and prediction. CIKM 2013: 1789-1794 - [c74]Dan Zhang, Jingrui He, Luo Si, Richard D. Lawrence:
MILEAGE: Multiple Instance LEArning with Global Embedding. ICML (3) 2013: 82-90 - [c73]Qifan Wang, Dan Zhang, Luo Si:
Semantic hashing using tags and topic modeling. SIGIR 2013: 213-222 - [c72]Dzung Hong, Luo Si:
Search result diversification in resource selection for federated search. SIGIR 2013: 613-622 - [c71]Lei Cen, Eduard C. Dragut, Luo Si, Mourad Ouzzani:
Author disambiguation by hierarchical agglomerative clustering with adaptive stopping criterion. SIGIR 2013: 741-744 - 2012
- [j21]Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, Luo Si:
Expertise Retrieval. Found. Trends Inf. Retr. 6(2-3): 127-256 (2012) - [j20]Dan Zhang, Luo Si, Vernon Rego:
Sentiment detection with auxiliary data. Inf. Retr. 15(3-4): 373-390 (2012) - [j19]Suleyman Cetintas, Luo Si:
Effective query generation and postprocessing strategies for prior art patent search. J. Assoc. Inf. Sci. Technol. 63(3): 512-527 (2012) - [j18]Balamurugan Anandan, Chris Clifton, Wei Jiang, Mummoorthy Murugesan, Pedro Pastrana-Camacho, Luo Si:
t-Plausibility: Generalizing Words to Desensitize Text. Trans. Data Priv. 5(3): 505-534 (2012) - [c70]Yi Fang, Luo Si:
A latent pairwise preference learning approach for recommendation from implicit feedback. CIKM 2012: 2567-2570 - [c69]Qifan Wang, Luo Si, Dan Zhang:
A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification. ECCV (4) 2012: 660-673 - [c68]Stephen Cooper, Yoon Jae Nam, Luo Si:
Initial results of using an intelligent tutoring system with Alice. ITiCSE 2012: 138-143 - [c67]Dzung Hong, Luo Si:
Mixture model with multiple centralized retrieval algorithms for result merging in federated search. SIGIR 2012: 821-830 - [c66]Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan:
Emotion tagging for comments of online news by meta classification with heterogeneous information sources. SIGIR 2012: 1059-1060 - [c65]Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu:
Mining contrastive opinions on political texts using cross-perspective topic model. WSDM 2012: 63-72 - [i3]Bin Shen, Luo Si, Rongrong Ji, Bao-Di Liu:
Robust Nonnegative Matrix Factorization via L1 Norm Regularization. CoRR abs/1204.2311 (2012) - [i2]Rong Jin, Luo Si:
A Bayesian Approach toward Active Learning for Collaborative Filtering. CoRR abs/1207.4146 (2012) - [i1]Rong Jin, Luo Si, ChengXiang Zhai:
Preference-based Graphic Models for Collaborative Filtering. CoRR abs/1212.2478 (2012) - 2011
- [j17]Milad Shokouhi, Luo Si:
Federated Search. Found. Trends Inf. Retr. 5(1): 1-102 (2011) - [j16]Yi Fang, Luo Si, Aditya P. Mathur:
Discriminative probabilistic models for expert search in heterogeneous information sources. Inf. Retr. 14(2): 158-177 (2011) - [j15]Suleyman Cetintas, Luo Si, Hans Aagard, Kyle Bowen, Mariheida Cordova-Sanchez:
Microblogging in a Classroom: Classifying Students' Relevant and Irrelevant Questions in a Microblogging-Supported Classroom. IEEE Trans. Learn. Technol. 4(4): 292-300 (2011) - [j14]Dan Zhang, Fei Wang, Luo Si, Tao Li:
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. IEEE Trans. Neural Networks 22(5): 739-751 (2011) - [c64]Qifan Wang, Luo Si:
A robust one-class bayesian approach for masquerade detection. AISec 2011: 111-112 - [c63]Dan Zhang, Jingrui He, Yan Liu, Luo Si, Richard D. Lawrence:
Multi-view transfer learning with a large margin approach. KDD 2011: 1208-1216 - [c62]Dan Zhang, Yan Liu, Luo Si:
Serendipitous learning: learning beyond the predefined label space. KDD 2011: 1343-1351 - [c61]Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence:
Multiple Instance Learning on Structured Data. NIPS 2011: 145-153 - [c60]Yi Fang, Luo Si:
Matrix co-factorization for recommendation with rich side information and implicit feedback. HetRec@RecSys 2011: 65-69 - [c59]Dan Zhang, Fei Wang, Luo Si:
Composite hashing with multiple information sources. SIGIR 2011: 225-234 - [c58]Dan Zhang, Jingdong Wang, Luo Si:
Document clustering with universum. SIGIR 2011: 873-882 - [c57]Chuan He, Dzung Hong, Luo Si:
A weighted curve fitting method for result merging in federated search. SIGIR 2011: 1177-1178 - [c56]Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur:
Analysis of an expert search query log. SIGIR 2011: 1189-1190 - [c55]Suleyman Cetintas, Monica Rogati, Luo Si, Yi Fang:
Identifying similar people in professional social networks with discriminative probabilistic models. SIGIR 2011: 1209-1210 - [c54]Suleyman Cetintas, Datong Chen, Luo Si, Bin Shen, Zhanibek Datbayev:
Forecasting counts of user visits for online display advertising with probabilistic latent class models. SIGIR 2011: 1217-1218 - [c53]Luo Si, Rong Jin:
Machine learning for information retrieval. SIGIR 2011: 1293-1294 - [c52]Dzung Hong, Qifan Wang, Dan Zhang, Luo Si:
Query Expansion and Message-Passing Algorithms for TREC Microblog Track. TREC 2011 - 2010
- [j13]Jeongwoo Ko, Luo Si, Eric Nyberg:
Combining evidence with a probabilistic framework for answer ranking and answer merging in question answering. Inf. Process. Manag. 46(5): 541-554 (2010) - [j12]Yi Fang, Luo Si, Aditya P. Mathur:
Discriminative graphical models for faculty homepage discovery. Inf. Retr. 13(6): 618-635 (2010) - [j11]Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord:
Automatic Detection of Off-Task Behaviors in Intelligent Tutoring Systems with Machine Learning Techniques. IEEE Trans. Learn. Technol. 3(3): 228-236 (2010) - [j10]Jeongwoo Ko, Luo Si, Eric Nyberg, Teruko Mitamura:
Probabilistic models for answer-ranking in multilingual question-answering. ACM Trans. Inf. Syst. 28(3): 16:1-16:37 (2010) - [j9]Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si, Jaideep Vaidya:
Efficient privacy-preserving similar document detection. VLDB J. 19(4): 457-475 (2010) - [c51]Bin Shen, Luo Si:
Non-Negative Matrix Factorization Clustering on Multiple Manifolds. AAAI 2010: 575-580 - [c50]Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord:
Predicting Correctness of Problem Solving in ITS with a Temporal Collaborative Filtering Approach. Intelligent Tutoring Systems (1) 2010: 15-24 - [c49]Suleyman Cetintas, Luo Si, Sugato Chakravarty, Hans Aagard, Kyle Bowen:
Learning to Identify Students' Relevant and Irrelevant Questions in a Micro-blogging Supported Classroom. Intelligent Tutoring Systems (2) 2010: 281-284 - [c48]Dzung Hong, Luo Si, Paul J. Bracke, Michael Witt, Tim Juchcinski:
A joint probabilistic classification model for resource selection. SIGIR 2010: 98-105 - [c47]Yi Fang, Luo Si, Aditya P. Mathur:
Discriminative models of integrating document evidence and document-candidate associations for expert search. SIGIR 2010: 683-690 - [c46]Yi Fang, Luo Si, Naveen Somasundaram, Salman Al-Ansari, Zhengtao Yu, Yantuan Xian:
Purdue at TREC 2010 Entity Track: A Probabilistic Framework for Matching Types Between Candidate and Target Entities. TREC 2010
2000 – 2009
- 2009
- [c45]Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord, Dake Zhang:
Learning to Identify Students' Off-Task Behavior in Intelligent Tutoring Systems. AIED 2009: 701-703 - [c44]Suleyman Cetintas, Luo Si, Hao Yuan:
Learning from past queries for resource selection. CIKM 2009: 1867-1870 - [c43]Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si:
t-Plausibility: Semantic Preserving Text Sanitization. CSE (3) 2009: 68-75 - [c42]Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord:
Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems. EDM 2009: 230-239 - [c41]Suleyman Cetintas, Luo Si, Yan Ping Xin, Dake Zhang, Joo Young Park:
Automatic Text Categorization of Mathematical Word Problems. FLAIRS 2009 - [c40]Dan Zhang, Luo Si:
Multiple Instance Transfer Learning. ICDM Workshops 2009: 406-411 - [c39]Dan Zhang, Fei Wang, Luo Si, Tao Li:
M3IC: Maximum Margin Multiple Instance Clustering. IJCAI 2009: 1339-1344 - [c38]Dan Zhang, Luo Si:
Modeling search response time. SIGIR 2009: 730-731 - [c37]Suleyman Cetintas, Luo Si:
Strategies for Effective Chemical Information Retrieval. TREC 2009 - [c36]Yi Fang, Luo Si, Zhengtao Yu, Yantuan Xian, Yangbo Xu:
Entity Retrieval with Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers. TREC 2009 - 2008
- [j8]Rong Jin, Luo Si, Christina Chan:
A Bayesian framework for knowledge driven regression model in micro-array data analysis. Int. J. Data Min. Bioinform. 2(3): 250-267 (2008) - [j7]Luo Si, Jamie Callan, Suleyman Cetintas, Hao Yuan:
An effective and efficient results merging strategy for multilingual information retrieval in federated search environments. Inf. Retr. 11(1): 1-24 (2008) - [j6]Luo Si, Danni Yu, Daisuke Kihara, Yi Fang:
Combining gene sequence similarity and textual information for gene function annotation in the literature. Inf. Retr. 11(5): 389-404 (2008) - [c35]Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si:
Similar Document Detection with Limited Information Disclosure. ICDE 2008: 735-743 - [c34]Mengqiu Wang, Luo Si:
Discriminative probabilistic models for passage based retrieval. SIGIR 2008: 419-426 - 2007
- [j5]Luo Si:
Federated search of text search engines in uncooperative environments. SIGIR Forum 41(1): 120 (2007) - [c33]Jeongwoo Ko, Luo Si, Eric Nyberg:
A Probabilistic Framework for Answer Selection in Question Answering. HLT-NAACL 2007: 524-531 - [c32]Jeongwoo Ko, Eric Nyberg, Luo Si:
A probabilistic graphical model for joint answer ranking in question answering. SIGIR 2007: 343-350 - [c31]Suleyman Cetintas, Luo Si:
Exploration of the tradeoff between effectiveness and efficiency for results merging in federated search. SIGIR 2007: 707-708 - [c30]Wei Jiang, Luo Si, Jing Li:
Protecting source privacy in federated search. SIGIR 2007: 761-762 - 2006
- [j4]Rong Jin, Luo Si, Chengxiang Zhai:
A study of mixture models for collaborative filtering. Inf. Retr. 9(3): 357-382 (2006) - [j3]Thi Truong Avrahami, Lawrence Yau, Luo Si, James P. Callan:
The FedLemur project: Federated search in the real world. J. Assoc. Inf. Sci. Technol. 57(3): 347-358 (2006) - [j2]Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu:
Collaborative image retrieval via regularized metric learning. Multim. Syst. 12(1): 34-44 (2006) - [c29]Rong Jin, Luo Si, Shireesh Srivastava, Zheng Li, Christina Chan:
A Knowledge Driven Regression Model for Gene Expression and Microarray Analysis. EMBC 2006: 5326-5329 - [c28]Luo Si, Jie Lu, Jamie Callan:
Combining Multiple Resources, Evidences and Criteria for Genomic Information Retrieval. TREC 2006 - [c27]Hui Yang, Jamie Callan, Luo Si:
Knowledge Transfer and Opinion Detection in the TREC 2006 Blog Track. TREC 2006 - 2005
- [c26]Luo Si, Jamie Callan:
CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists. CLEF 2005: 121-130 - [c25]Luo Si, Jamie Callan:
CLEF 2005: Multilingual Retrieval by Combining Multiple Multilingual Ranked Lists. CLEF (Working Notes) 2005 - [c24]Rong Jin, Joyce Y. Chai, Luo Si:
Learn to weight terms in information retrieval using category information. ICML 2005: 353-360 - [c23]Luo Si, Tapas Kanungo, Xiangji Huang:
Boosting performance of bio-entity recognition by combining results from multiple systems. BIOKDD 2005: 76-83 - [c22]Luo Si, Rong Jin:
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis. PAKDD 2005: 622-631 - [c21]Luo Si, Jamie Callan:
Modeling search engine effectiveness for federated search. SIGIR 2005: 83-90 - [c20]Xiangji Huang, Ming Zhong, Luo Si:
York University at TREC 2005: Genomics Track. TREC 2005 - [c19]Luo Si, Tapas Kanungo:
Thresholding Strategies for Text Classifiers: TREC 2005 Biomedical Triage Task Experiments. TREC 2005 - 2004
- [c18]Luo Si, James P. Callan:
Unified utility maximization framework for resource selection. CIKM 2004: 32-41 - [c17]Luo Si, Rong Jin:
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. CIKM 2004: 156-157 - [c16]Rong Jin, Joyce Y. Chai, Luo Si:
Effective automatic image annotation via a coherent language model and active learning. ACM Multimedia 2004: 892-899 - [c15]Rong Jin, Joyce Y. Chai, Luo Si:
An automatic weighting scheme for collaborative filtering. SIGIR 2004: 337-344 - [c14]Jesse Montgomery, Luo Si, Jamie Callan, David A. Evans:
Effect of varying number of documents in blind feedback: analysis of the 2003 NRRC RIA workshop "bf_numdocs" experiment suite. SIGIR 2004: 476-477 - [c13]Rong Jin, Luo Si:
A study of methods for normalizing user ratings in collaborative filtering. SIGIR 2004: 568-569 - [c12]Rong Jin, Luo Si:
A Bayesian Approach toward Active Learning for Collaborative Filtering. UAI 2004: 278-285 - 2003
- [j1]Luo Si, Jamie Callan:
A semisupervised learning method to merge search engine results. ACM Trans. Inf. Syst. 21(4): 457-491 (2003) - [c11]Rong Jin, Luo Si, ChengXiang Zhai, James P. Callan:
Collaborative filtering with decoupled models for preferences and ratings. CIKM 2003: 309-316 - [c10]Luo Si, Rong Jin:
Flexible Mixture Model for Collaborative Filtering. ICML 2003: 704-711 - [c9]Luo Si, Jamie Callan:
The Effect of Database Size Distribution on Resource Selection Algorithms. Distributed Multimedia Information Retrieval 2003: 31-42 - [c8]Luo Si, James P. Callan:
Relevant document distribution estimation method for resource selection. SIGIR 2003: 298-305 - [c7]Rong Jin, Luo Si, ChengXiang Zhai:
Preference-based Graphic Models for Collaborative Filtering. UAI 2003: 329-336 - 2002
- [c6]Luo Si, Rong Jin, James P. Callan, Paul Ogilvie:
A language modeling framework for resource selection and results merging. CIKM 2002: 391-397 - [c5]Luo Si, James P. Callan:
Using sampled data and regression to merge search engine results. SIGIR 2002: 19-26 - [c4]Rong Jin, Luo Si, Alexander G. Hauptmann, James P. Callan:
Language model for IR using collection information. SIGIR 2002: 419-420 - 2001
- [c3]Luo Si, James P. Callan:
A Statistical Model for Scientific Readability. CIKM 2001: 574-576 - 2000
- [c2]Luo Si, Qixiu Hu:
Two-stage speaker identification system based on VQ and NBDGMM. INTERSPEECH 2000: 282-285
1990 – 1999
- 1998
- [c1]Qin Jin, Luo Si, Qixiu Hu:
A high-performance text-independent speaker identification system based on BCDM. ICSLP 1998
Coauthor Index
aka: James P. Callan
aka: Shafiq Joty
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