Tingwen Liu

According to our database, Tingwen Liu authored at least 113 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck.

Shiyao Cui, Jiangxia Cao, Xin Cong, Jiawei Sheng, Quangang Li, Tingwen Liu, Jinqiao Shi

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction.

Wenyuan Zhang, Xinghua Zhang, Shiyao Cui, Kun Huang, Xuebin Wang, Tingwen Liu

CoRR, 2024

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.

Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity.

Shiyao Cui, Zhenyu Zhang, Yilong Chen, Wenyuan Zhang, Tianyun Liu, Siqi Wang, Tingwen Liu

CoRR, 2023

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction.

Shiyao Cui, Xin Cong, Jiawei Sheng, Xuebin Wang, Tingwen Liu, Jinqiao Shi

CoRR, 2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.

Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li

CoRR, 2023

Universal Information Extraction with Meta-Pretrained Self-Retrieval.

Xin Cong. Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang

CoRR, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou

CoRR, 2023

Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings.

Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo

Proceedings of the ACM Web Conference 2023, 2023

Towards Universal Cross-Domain Recommendation.

Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation.

Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition.

Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Enhancing Table Retrieval with Dual Graph Representations.

Tianyun Liu, Xinghua Zhang, Zhenyu Zhang, Yubin Wang, Quangang Li, Shuai Zhang, Tingwen Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization.

Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu

Proceedings of the International Joint Conference on Neural Networks, 2023

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification.

Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.

Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Jiawei Sheng, Chuan Zhou, Tingwen Liu

Proceedings of the IEEE International Conference on Big Data, 2023

Universal Information Extraction with Meta-Pretrained Self-Retrieval.

Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards Generalized Open Information Extraction.

Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang

CoRR, 2022

CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection.

Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relation-Guided Few-Shot Relational Triple Extraction.

Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation.

Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Item Similarity Mining for Multi-Market Recommendation.

Jiangxia Cao, Xin Cong, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition.

Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Pre-Trained Language Representations Based on Contrastive Learning for Unsupervised Keyphrase Extraction.

Zhaohui Wang, Xinghua Zhang, Yanzeng Li, Yubin Wang, Jiawei Sheng, Tingwen Liu, Hongbo Xu

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

Multi-interest Extraction Joint with Contrastive Learning for News Recommendation.

Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.

Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning-to-Learn Agent Adaptation Policy for Abstractive Summarization.

Hongzhang Mu, Tingwen Liu, Hongbo Xu

Proceedings of the International Joint Conference on Neural Networks, 2022

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.

Jiangxia Cao, Jiawei Sheng, Xin Cong, Tingwen Liu, Bin Wang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Document-Level Event Extraction via Human-Like Reading Process.

Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi

Proceedings of the IEEE International Conference on Acoustics, 2022

Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence.

Mengxiao Song, Bowen Yu, Quangang Li, Yubin Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Event Causality Extraction with Event Argument Correlations.

Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Contrastive Cross-Domain Sequential Recommendation.

Jiangxia Cao, Xin Cong, Jiawei Sheng, Tingwen Liu, Bin Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.

Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task.

Jiawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu

Data Intell., 2021

Semi-Open Information Extraction.

Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Bipartite Graph Embedding via Mutual Information Maximization.

Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang

Proceedings of the WSDM '21, 2021

Heterogeneous Graph Neural Networks for Query-focused Summarization.

Jing Ya, Tingwen Liu, Jiangxia Cao, Li Guo

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction.

Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Deep Structural Point Process for Learning Temporal Interaction Networks.

Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection.

Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Jinqiao Shi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

FITAnnotator: A Flexible and Intelligent Text Annotation System.

Yanzeng Li, Bowen Yu, Quangang Li, Tingwen Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Darknet Public Hazard Entity Recognition Based on Deep Learning.

Panpan Zhang, Xuebin Wang, Jing Ya, Jiapeng Zhao, Tingwen Liu, Jinqiao Shi

Proceedings of the ACM ICEA '21: 2021 ACM International Conference on Intelligent Computing and its Emerging Applications, Jinan, China, December 28, 2021

Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information.

Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

Maximal Clique Based Non-Autoregressive Open Information Extraction.

Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning.

Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Relation Extraction based on Data Partition and Representation Integration.

Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Zhenyu Zhang, Yanzeng Li, Jinqiao Shi

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Mining Open-Source Cyber Threat Intelligence with Distant Supervision from the Web.

Panpan Zhang, Jing Ya, Tingwen Liu, Jinqiao Shi

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Identifying Reply Relationships from Telegram Groups Using Multi-Features Fusion.

Panpan Zhang, Yao Qi, Yanzeng Li, Jing Ya, Xuebin Wang, Tingwen Liu, Jinqiao Shi

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

From What to Why: Improving Relation Extraction with Rationale Graph.

Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Discontinuous Named Entity Recognition as Maximal Clique Discovery.

Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction.

Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field.

Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks.

Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi

CoRR, 2020

Event Detection with Relation-Aware Graph Convolutional Neural Networks.

Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi

CoRR, 2020

A Compare-Aggregate Model with External Knowledge for Query-Focused Summarization.

Jing Ya, Tingwen Liu, Li Guo

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Fine-Grained Semantics-Aware Heterogeneous Graph Neural Networks.

Yubin Wang, Zhenyu Zhang, Tingwen Liu, Hongbo Xu, Jingjing Wang, Li Guo

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

Aspect level sentiment classification with unbiased attention and target enhanced representations.

Peng Liu, Tingwen Liu, Jinqiao Shi, Xuebin Wang, Zelin Yin, Can Zhao

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering.

Xin Cong, Bowen Yu, Tingwen Liu, Shiyao Cui, Hengzhu Tang, Bin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

SLGAT: Soft Labels Guided Graph Attention Networks.

Yubin Wang, Zhenyu Zhang, Tingwen Liu, Li Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Strong Baselines for Author Name Disambiguation with and Without Neural Networks.

Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2ch-TCN: A Website Fingerprinting Attack over Tor Using 2-channel Temporal Convolutional Networks.

Meiqi Wang, Yanzeng Li, Xuebin Wang, Tingwen Liu, Jinqiao Shi, Muqian Chen

Proceedings of the IEEE Symposium on Computers and Communications, 2020

BiG-Transformer: Integrating Hierarchical Features for Transformer via Bipartite Graph.

Xiaobo Shu, Mengge Xue, Yanzeng Li, Zhenyu Zhang, Tingwen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

DRG2vec: Learning Word Representations from Definition Relational Graph.

Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Label Noise Robust Curriculum for Deep Paraphrase Identification.

Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population.

Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Coarse-to-Fine Pre-training for Named Entity Recognition.

Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion.

Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation.

Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Word Level Domain-Diversity Attention Based LSTM Model for Sentiment Classification.

Haoliang Zhang, Hongbo Xu, Jinqiao Shi, Tingwen Liu, Chun Liao

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

Document-level Relation Extraction with Dual-tier Heterogeneous Graph.

Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction.

Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Porous Lattice Transformer Encoder for Chinese NER.

Mengge Xue, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking.

Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention.

Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction.

Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Porous Lattice-based Transformer Encoder for Chinese NER.

Mengge Xue, Bowen Yu, Tingwen Liu, Bin Wang, Erli Meng, Quangang Li

CoRR, 2019

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li

CoRR, 2019

SFV-CNN: Deep Text Sentiment Classification with Scenario Feature Representation.

Haoliang Zhang, Hongbo Xu, Jinqiao Shi, Tingwen Liu, Jing Ya

Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2019

iMCircle: Automatic Mining of Indicators of Compromise from the Web.

Panpan Zhang, Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Zhaojun Gu

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

SignalCookie: Discovering Guard Relays of Hidden Services in Parallel.

Muqian Chen, Xuebin Wang, Tingwen Liu, Jinqiao Shi, Zelin Yin, Binxing Fang

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

NeuralAS: Deep Word-Based Spoofed URLs Detection Against Strong Similar Samples.

Jing Ya, Tingwen Liu, Panpan Zhang, Jinqiao Shi, Li Guo, Zhaojun Gu

Proceedings of the International Joint Conference on Neural Networks, 2019

ICNet: Incorporating Indicator Words and Contexts to Identify Functional Description Information.

Qu Liu, Zhenyu Zhang, Yanzeng Li, Tingwen Liu, Diying Li, Jinqiao Shi

Proceedings of the International Joint Conference on Neural Networks, 2019

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction.

Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improving Academic Homepage Identification from the Web Using Neural Networks.

Jiapeng Zhao, Tingwen Liu, Jinqiao Shi

Proceedings of the Computational Science - ICCS 2019, 2019

Revising Attention with Position for Aspect-Level Sentiment Classification.

Dong Wang, Tingwen Liu, Bin Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Fast and Accurate Typosquatting Domains Evaluation with Siamese Networks.

Jing Ya, Tingwen Liu, Quangang Li, Pin Lv, Jinqiao Shi, Li Guo

Proceedings of the 2018 IEEE Military Communications Conference, 2018

You Have More Abbreviations Than You Know: A Study of AbbrevSquatting Abuse.

Pin Lv, Jing Ya, Tingwen Liu, Jinqiao Shi, Binxing Fang, Zhaojun Gu

Proceedings of the Computational Science - ICCS 2018, 2018

Detection of Malicious Domain Names Based on Hidden Markov Model.

Pin Lv, Lingling Bai, Tingwen Liu, Zhenhu Ning, Jinqiao Shi, Binxing Fang

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction.

Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Flexible Expert Finding on the Web via Semantic Hypergraph Learning and Affinity Propagation Model.

Yang Yan, Tingwen Liu, Jinqiao Shi, Qiuyan Wang, Li Guo

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Domain Watcher: Detecting Malicious Domains Based on Local and Global Textual Features.

Panpan Zhang, Tingwen Liu, Yang Zhang, Jing Ya, Jinqiao Shi, Yubin Wang

Proceedings of the International Conference on Computational Science, 2017

Recognizing Compound Entity Phrases in Hybrid Academic Domains in View of Community Division.

Yang Yan, Tingwen Liu, Quangang Li, Jinqiao Shi, Li Guo, Yubin Wang

Proceedings of the International Conference on Computational Science, 2017

Mining Host Behavior Patterns From Massive Network and Security Logs.

Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Haoliang Zhang, Pin Lv, Li Guo

Proceedings of the International Conference on Computational Science, 2017

2016

Towards quantifying visual similarity of domain names for combating typosquatting abuse.

Tingwen Liu, Yang Zhang, Jinqiao Shi, Jing Ya, Quangang Li, Li Guo

Proceedings of the 2016 IEEE Military Communications Conference, 2016

An Unsupervised Framework Towards Sci-Tech Compound Entity Recognition.

Yang Yan, Tingwen Liu, Li Guo, Jiapeng Zhao, Jinqiao Shi

Proceedings of the Knowledge Science, Engineering and Management, 2016

Identifying Users across Different Sites using Usernames.

Yubin Wang, Tingwen Liu, Qingfeng Tan, Jinqiao Shi, Li Guo

Proceedings of the International Conference on Computational Science 2016, 2016

Towards Personal Relation Extraction Based on Sentence Pattern Tree.

Jiapeng Zhao, Yang Yan, Tingwen Liu, Jinqiao Shi

Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

2015

An automatic approach to extract the formats of network and security log messages.

Jing Ya, Tingwen Liu, Haoliang Zhang, Jinqiao Shi, Li Guo

Proceedings of the 34th IEEE Military Communications Conference, 2015

Towards misdirected email detection based on multi-attributes.

Yiguo Pu, Jinqiao Shi, Xiaojun Chen, Li Guo, Tingwen Liu

Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

Limited Dictionary Builder: An approach to select representative tokens for malicious URLs detection.

Hongzhou Sha, Zhou Zhou, Qingyun Liu, Tingwen Liu, Chao Zheng

Proceedings of the 2015 IEEE International Conference on Communications, 2015

A Self-learning Rule-Based Approach for Sci-tech Compound Phrase Entity Recognition.

Tingwen Liu, Yang Zhang, Yang Yan, Jinqiao Shi, Li Guo

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

Towards Fast and Optimal Grouping of Regular Expressions via DFA Size Estimation.

Tingwen Liu, Alex X. Liu, Jinqiao Shi, Yong Sun, Li Guo

IEEE J. Sel. Areas Commun., 2014

Towards misdirected email detection for preventing information leakage.

Tingwen Liu, Yiguo Pu, Jinqiao Shi, Quangang Li, Xiaojun Chen

Proceedings of the IEEE Symposium on Computers and Communications, 2014

A probabilistic approach towards modeling email network with realistic features.

Quangang Li, Jinqiao Shi, Tingwen Liu, Li Guo, Zhiguang Qin

Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

2013

EPLogCleaner: Improving Data Quality of Enterprise Proxy Logs for Efficient Web Usage Mining.

Hongzhou Sha, Tingwen Liu, Peng Qin, Yong Sun, Qingyun Liu

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012

SDFA: Series DFA for Memory-Efficient Regular Expression Matching.

Tingwen Liu, Yong Sun, Li Guo, Binxing Fang

Proceedings of the Implementation and Application of Automata, 2012

EFA for Efficient Regular Expression Matching in NIDS (Poster Abstract).

Dengke Qiao, Tingwen Liu, Yong Sun, Li Guo

Proceedings of the Research in Attacks, Intrusions, and Defenses, 2012

A Prefiltering Approach to Regular Expression Matching for Network Security Systems.

Tingwen Liu, Yong Sun, Alex X. Liu, Li Guo, Binxing Fang

Proceedings of the Applied Cryptography and Network Security, 2012

2011

Improving matching performance of DPI traffic classifier.

Tingwen Liu, Yong Sun, Li Guo, Binxing Fang

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

An efficient regular expressions compression algorithm from a new perspective.

Tingwen Liu, Yifu Yang, Yanbing Liu, Yong Sun, Li Guo

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010

Fast and Memory-Efficient Traffic Classification with Deep Packet Inspection in CMP Architecture.

Tingwen Liu, Yong Sun, Li Guo

Proceedings of the Fifth International Conference on Networking, Architecture, and Storage, 2010

2009

Load Balancing for Flow-Based Parallel Processing Systems in CMP Architecture.

Tingwen Liu, Yong Sun, Zhibin Zhang, Li Guo

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009