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Journal Articles
- 2024
[j28]Peijin Xie, Bingquan Liu:
Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data. Cogn. Comput. 16(6): 3484-3504 (2024)- [j27]Mohamed Abdelhakim, Bingquan Liu, Chengie Sun:
Corrigendum to "Ar-PuFi: A short-text dataset to identify the offensive messages towards public figures in the arabian community" [Expert Syst. Appl. 233 (2023) 120888]. Expert Syst. Appl. 245: 122904 (2024) - [j26]Shun Qian
, Bingquan Liu, Chengjie Sun, Zhen Xu, Lin Ma, Baoxun Wang:
CroMIC-QA: The Cross-Modal Information Complementation Based Question Answering. IEEE Trans. Multim. 26: 8348-8359 (2024) - 2023
- [j25]Mohamed Abdelhakim, Bingquan Liu, Chengie Sun:
Ar-PuFi: A short-text dataset to identify the offensive messages towards public figures in the Arabian community. Expert Syst. Appl. 233: 120888 (2023) - [j24]Shaobo Li, Chengjie Sun, Zhen Xu, Prayag Tiwari, Bingquan Liu, Deepak Gupta, K. Shankar, Zhenzhou Ji, Mingjiang Wang:
Toward Explainable Dialogue System Using Two-stage Response Generation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 68:1-68:18 (2023) - 2022
- [j23]Andrea Stevens Karnyoto, Chengjie Sun, Bingquan Liu, Xiaolong Wang:
Transfer learning and GRU-CRF augmentation for Covid-19 fake news detection. Comput. Sci. Inf. Syst. 19(2): 639-658 (2022) - [j22]Andrea Stevens Karnyoto, Chengjie Sun, Bingquan Liu, Xiaolong Wang:
Augmentation and heterogeneous graph neural network for AAAI2021-COVID-19 fake news detection. Int. J. Mach. Learn. Cybern. 13(7): 2033-2043 (2022) - 2021
- [j21]Bingquan Liu, Xuran Chang, Boyang Nie, Yue Wang, Lingqi Meng:
Government Low-Carbon Regulations Based on Supply Chain Members' Behavior and Consumers' Channel Preference in a Dual-Channel Supply Chain. Complex. 2021: 9967381:1-9967381:18 (2021) - 2019
- [j20]Zhen Xu, Chengjie Sun, Yinong Long, Bingquan Liu, Baoxun Wang, Mingjiang Wang, Min Zhang, Xiaolong Wang:
Dynamic Working Memory for Context-Aware Response Generation. IEEE ACM Trans. Audio Speech Lang. Process. 27(9): 1419-1431 (2019) - 2018
- [j19]Yuanchao Liu, Bingquan Liu, Lili Shan, Xin Wang:
Modelling context with neural networks for recommending idioms in essay writing. Neurocomputing 275: 2287-2293 (2018) - [j18]Bingquan Liu, Zhen Xu, Chengjie Sun, Baoxun Wang, Xiaolong Wang, Derek F. Wong, Min Zhang:
Content-Oriented User Modeling for Personalized Response Ranking in Chatbots. IEEE ACM Trans. Audio Speech Lang. Process. 26(1): 122-133 (2018) - 2017
- [j17]Donghuo Zeng, Chengjie Sun, Lei Lin, Bingquan Liu:
LSTM-CRF for Drug-Named Entity Recognition. Entropy 19(6): 283 (2017) - [j16]Lili Shan, Lei Lin, Chengjie Sun, Xiaolong Wang, Bingquan Liu:
Optimizing ranking for response prediction via triplet-wise learning from historical feedback. Int. J. Mach. Learn. Cybern. 8(6): 1777-1793 (2017) - [j15]Ming Liu, Lei Chen, Bingquan Liu, Guidong Zheng, Xiaoming Zhang:
DBpedia-Based Entity Linking via Greedy Search and Adjusted Monte Carlo Random Walk. ACM Trans. Inf. Syst. 36(2): 16:1-16:34 (2017) - 2015
- [j14]Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks. Entropy 17(4): 2140-2169 (2015) - [j13]Bingquan Liu, Baoxun Wang, Zhen Xu, Xiaolong Wang, Peng Li:
Classifying Blog Posts with Tag Propagation. Int. J. Asian Lang. Process. 23(1): 35-45 (2015) - [j12]Bingquan Liu, Jian Feng, Ming Liu, Haifeng Hu, Xiaolong Wang:
Predicting the quality of user-generated answers using co-training in community-based question answering portals. Pattern Recognit. Lett. 58: 29-34 (2015) - 2014
- [j11]Nenghui Kuang, Bingquan Liu:
Moderate Deviation for Parameter Estimation in the Rayleigh Diffusion Process. Commun. Stat. Simul. Comput. 43(7): 1631-1643 (2014) - 2013
- [j10]Yuanchao Liu, Xin Wang, Chengjie Sun, Bingquan Liu:
A Novel Approach for Dynamic Polarity Mining from Customer Reviews. Comput. Inf. Sci. 6(3): 80-88 (2013) - [j9]Yuanchao Liu, Feng Wu, Ming Liu, Bingquan Liu:
Abstract Sentence Classification for Scientific Papers Based on Transductive SVM. Comput. Inf. Sci. 6(4): 125-131 (2013) - [j8]Ming Liu, Yuanchao Liu, Bingquan Liu, Lei Lin:
Probability-based text clustering algorithm by alternately repeating two operations. J. Inf. Sci. 39(3): 372-383 (2013) - 2011
- [j7]Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Learning to Combine Kernels for Object Categorization. Comput. Inf. Sci. 4(3): 116-124 (2011) - [j6]Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Learning the Classifier Combination for Image Classification. J. Comput. 6(8): 1756-1763 (2011) - [j5]Baoxun Wang, Bingquan Liu, Xiaolong Wang, Chengjie Sun, Deyuan Zhang:
Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs. ACM Trans. Asian Lang. Inf. Process. 10(4): 21:1-21:16 (2011) - 2008
- [j4]Yuming Zhao, Bingquan Liu, Xiaolong Wang:
Document relevance calculation based on Lexical cohesion with structure analysis. J. Chin. Lang. Comput. 18(3): 93-106 (2008) - 2007
- [j3]JingHui Xiao, Bingquan Liu, Xiaolong Wang:
An Empirical Study of Non-Stationary Ngram Model and its Smoothing Techniques. Int. J. Comput. Linguistics Chin. Lang. Process. 12(2) (2007) - [j2]Tao Liu, Bingquan Liu, Xiaolong Wang, Minghui Li:
The Effectiveness Study of Local Maximum Feature for Chinese Unknown Word Identification. J. Chin. Lang. Comput. 17(1): 15-26 (2007) - [j1]JingHui Xiao, Xiaolong Wang, Bingquan Liu:
The study of a nonstationary maximum entropy Markov model and its application on the pos-tagging task. ACM Trans. Asian Lang. Inf. Process. 6(2): 7 (2007)
Conference and Workshop Papers
- 2024
- [c60]Wenbo Wang, Bingquan Liu, Lili Shan, Chengjie Sun, Ben Chen, Jian Guan:
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation. AAAI 2024: 9125-9132 - [c59]Yunhe Xie, Chengjie Sun, Yifan Liu, Zhenzhou Ji, Bingquan Liu:
UniMPC: Towards a Unified Framework for Multi-Party Conversations. CIKM 2024: 2639-2649 - [c58]Weihe Zhai, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao:
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering. EMNLP 2024: 18920-18930 - [c57]Wenbo Wang, Ben Chen, Bingquan Liu, Xinxin Wang, Luwei Yang, Wen Jiang, Wei Ning, Jian Guan:
Mutual Information Assisted Graph Convolution Network for Cold-Start Recommendation. ICASSP 2024: 6785-6789 - [c56]Yunhe Xie, Chengjie Sun, Bingquan Liu, Zhenzhou Ji:
Multi-View Contrastive Parsing Network for Emotion Recognition in Multi-Party Conversations. IJCNN 2024: 1-8 - 2023
- [c55]Ziyi Cao, Bingquan Liu, Shaobo Li:
RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA. AAAI 2023: 12598-12606 - 2022
- [c54]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. ACL (Findings) 2022: 1720-1732 - [c53]Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
Pre-training Language Models with Deterministic Factual Knowledge. EMNLP 2022: 11118-11131 - [c52]Weihe Zhai, Mingqiang Feng, Arkaitz Zubiaga, Bingquan Liu:
HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA). SemEval@NAACL 2022: 1256-1262 - 2021
- [c51]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. AAAI 2021: 13279-13287 - [c50]Yunhe Xie, Kailai Yang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji:
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations. EMNLP (Findings) 2021: 2879-2889 - [c49]Yunhe Xie, Chengjie Sun, Bingquan Liu, Zhenzhou Ji:
DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations. ICONIP (3) 2021: 470-481 - 2020
- [c48]Yice Zhang, Jiaxuan Lin, Yang Fan, Peng Jin, Yuanchao Liu, Bingquan Liu:
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples. SemEval@COLING 2020: 494-500 - 2019
- [c47]Yuanchao Liu, Bo Pang, Bingquan Liu:
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing. ACL (1) 2019: 5522-5526 - [c46]Peng Cui, Yuanchao Liu, Bingquan Liu:
A Neural Topic Model Based on Variational Auto-Encoder for Aspect Extraction from Opinion Texts. NLPCC (1) 2019: 660-671 - 2018
- [c45]Zhen Xu, Nan Jiang, Bingquan Liu, Wenge Rong, Bowen Wu, Baoxun Wang, Zhuoran Wang, Xiaolong Wang:
LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics. NAACL-HLT 2018: 2070-2080 - [c44]Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu:
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention. SemEval@NAACL-HLT 2018: 1089-1093 - 2017
- [c43]Chang'e Jia, Chengjie Sun, Bingquan Liu, Lei Lin:
Combine Non-text Features with Deep Learning Structures Based on Attention-LSTM for Answer Selection. CCIR 2017: 261-271 - [c42]Guidong Zheng, Ming Liu, Bingquan Liu:
Collective Entity Linking Based on DBpedia. CCKS 2017: 66-79 - [c41]Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang, Zhuoran Wang, Chao Qi:
Neural Response Generation via GAN with an Approximate Embedding Layer. EMNLP 2017: 617-626 - [c40]Chengjie Sun, Yang Liu, Chang'e Jia, Bingquan Liu, Lei Lin:
Recognizing Text Entailment via Bidirectional LSTM Model with Inner-Attention. ICIC (3) 2017: 448-457 - [c39]Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang:
Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. IJCNN 2017: 3506-3513 - [c38]Bingquan Liu, Xinkai Du, Ming Liu, Chengjie Sun, Guidong Zheng, Chao Zou:
Resolving Chinese Zero Pronoun with Word Embedding. NLPCC 2017: 828-838 - [c37]Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu:
ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing. SemEval@ACL 2017: 159-163 - 2016
- [c36]Donghuo Zeng, Chengjie Sun, Lei Lin, Bingquan Liu:
Enlarging drug dictionary with semi-supervised learning for Drug Entity Recognition. BIBM 2016: 1929-1931 - 2015
- [c35]Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Improving Link Prediction in Social Networks by User Comments and Sentiment Lexicon. CCL 2015: 356-365 - [c34]Lili Shan, Chengjie Sun, Lei Lin, Ming Liu, Xiaolong Wang, Bingquan Liu:
Evaluating tag quality for blogger modelling via topic models. FSKD 2015: 1770-1776 - [c33]Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Multimodal Deep Belief Network Based Link Prediction and User Comment Generation. ICONIP (4) 2015: 20-28 - [c32]Ming Liu, Lei Chen, Bingquan Liu, Xiaolong Wang:
VRCA: A Clustering Algorithm for Massive Amount of Texts. IJCAI 2015: 2355-2361 - [c31]Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Multimodal Learning Based Approaches for Link Prediction in Social Networks. NLPCC 2015: 123-133 - 2014
- [c30]Xianjun Dai, Yuanchao Liu, Xiaolong Wang, Bingquan Liu:
WINGS: Writing with Intelligent Guidance and Suggestions. ACL (System Demonstrations) 2014: 25-30 - [c29]Bingquan Liu, Jian Feng, Ming Liu, Feng Liu, Xiaolong Wang, Peng Li:
Computing Semantic Relatedness Using a Word-Text Mutual Guidance Model. NLPCC 2014: 67-78 - [c28]Xianqi Zou, Chengjie Sun, Yaming Sun, Bingquan Liu, Lei Lin:
Linking Entities in Tweets to Wikipedia Knowledge Base. NLPCC 2014: 368-378 - 2013
- [c27]Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang:
Multimodal DBN for Predicting High-Quality Answers in cQA portals. ACL (2) 2013: 843-847 - [c26]Haifeng Hu, Bingquan Liu, Baoxun Wang, Ming Liu, Xiaolong Wang:
Exploring social features for answer quality prediction in CQA portals. ICMLC 2013: 1904-1909 - [c25]Feng Liu, Bingquan Liu, Chengjie Sun, Ming Liu, Xiaolong Wang:
Deep Learning Approaches for Link Prediction in Social Network Services. ICONIP (2) 2013: 425-432 - [c24]Chengjie Sun, Lei Lin, Yuan Chen, Bingquan Liu:
Expanding User Features with Social Relationships in Social Recommender Systems. NLPCC 2013: 247-254 - 2012
- [c23]Baoxun Wang, Bingquan Liu, Chengjie Sun, Xiaolong Wang, Deyuan Zhang:
Generating Questions from Web Community Contents. COLING (Demos) 2012: 467-474 - [c22]Bo You, Ming Liu, Bingquan Liu, Xiaolong Wang:
Detecting hot topics in technology news streams. ICMLC 2012: 1968-1974 - [c21]Feng Liu, Bingquan Liu, Xiaolong Wang, Ming Liu, Baoxun Wang:
Features for link prediction in social networks: A comprehensive study. SMC 2012: 1706-1711 - 2011
- [c20]Bingquan Liu, Fenghua Wen, Yaozhong Wang:
Based on the Fuzzy Mathematics Model of Quality Management of Highway Construction Project. CSEE (3) 2011: 398-401 - [c19]Wen-Feng Xuan, Bingquan Liu, Chengjie Sun, Deyuan Zhang, Xiaolong Wang:
Finding main topics in blogosphere using document clustering based on topic model. ICMLC 2011: 1902-1908 - [c18]Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Making Image to Class Distance Comparable. ICONIP (2) 2011: 671-680 - 2010
- [c17]Baoxun Wang, Xiaolong Wang, Chengjie Sun, Bingquan Liu, Lin Sun:
Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities. ACL 2010: 1230-1238 - [c16]Yong Cheng, Chengjie Sun, Bingquan Liu, Lei Lin:
CRF tagging for head recognition based on Stanford parser. CIPS-SIGHAN 2010 - [c15]Lei Jiang, Yuanchao Liu, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields. AIRS 2010: 261-269 - [c14]Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Random Sampling Image to Class Distance for Photo Annotation. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c13]Qi Zhao, Chengjie Sun, Bingquan Liu, Yong Cheng:
Learning to Detect Hedges and their Scope Using CRF. CoNLL Shared Task 2010: 100-105 - [c12]Lin Sun, Bingquan Liu, Baoxun Wang, Deyuan Zhang, Xiaolong Wang:
A study of features on Primary Question detection in Chinese online forums. FSKD 2010: 2422-2427 - [c11]Lin Sun, Bingquan Liu, Baoxun Wang, Xiaolong Wang:
A clustering based fast detection algorithm for large scale duplicate emails. ICMLC 2010: 3270-3274 - [c10]Ting Zhou, Chengjie Sun, Lei Lin, Bingquan Liu:
An information extraction system for heterogeneous Web source. ICMLC 2010: 3287-3292 - [c9]Chang Sun, Bingquan Liu, Chengjie Sun, Deyuan Zhang, Xiaolong Wang:
SimRank: A link analysis based blogger recommendation algorithm using text similarity. ICMLC 2010: 3368-3373 - [c8]Deyuan Zhang, Xiaolong Wang, Bingquan Liu:
Learning the Kernel Combination for Object Categorization. ICPR 2010: 2929-2932 - 2009
- [c7]Baoxun Wang, Bingquan Liu, Chengjie Sun, Xiaolong Wang, Bo Li:
Adaptive Maximum Marginal Relevance Based Multi-email Summarization. AICI 2009: 417-424 - [c6]Ke Sun, Lei Lin, Bingquan Liu, Chengjie Sun, Xiaolong Wang:
Foxinfo1.0: A Chinese Topic-Oriented Search Engine. IALP 2009: 91-96 - [c5]Baoxun Wang, Bingquan Liu, Chengjie Sun, Xiaolong Wang, Lin Sun:
Extracting Chinese Question-Answer Pairs from Online Forums. SMC 2009: 1159-1164 - 2007
- [c4]Tao Liu, Xiaolong Wang, Bingquan Liu, Yuanchao Liu, Minghui Li:
Extracting domain-specific terms from unlabeled web documents by bootstrapping and term classifiers. SMC 2007: 3875-3880 - 2006
- [c3]Jianguo Sun, Bingquan Liu, Xuan Wang:
Research of Sentence-Level Intelligent Input Method Based on Symbian OS. IMSCCS (2) 2006: 666-670 - 2005
- [c2]JingHui Xiao, Bingquan Liu, Xiaolong Wang:
Principles of Non-stationary Hidden Markov Model and Its Applications to Sequence Labeling Task. IJCNLP 2005: 827-837 - [c1]JingHui Xiao, Bingquan Liu, Xiaolong Wang, Bing Li:
A Similarity-Based Approach to Data Sparseness Problem of Chinese Language Modeling. MICAI 2005: 761-769
Informal and Other Publications
- 2024
- [i7]Shun Qian, Bingquan Liu, Chengjie Sun, Zhen Xu, Baoxun Wang:
Spatial-Aware Efficient Projector for MLLMs via Multi-Layer Feature Aggregation. CoRR abs/2410.10319 (2024) - 2023
- [i6]Weihe Zhai, Arkaitz Zubiaga, Bingquan Liu:
Faithful Knowledge Graph Explanations for Commonsense Reasoning. CoRR abs/2310.04910 (2023) - 2022
- [i5]Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. CoRR abs/2203.16747 (2022) - [i4]Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu:
Pre-training Language Models with Deterministic Factual Knowledge. CoRR abs/2210.11165 (2022) - 2021
- [i3]Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang:
Integrating Regular Expressions with Neural Networks via DFA. CoRR abs/2109.02882 (2021) - 2020
- [i2]Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. CoRR abs/2012.15534 (2020) - 2016
- [i1]Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang:
Incorporating Loose-Structured Knowledge into LSTM with Recall Gate for Conversation Modeling. CoRR abs/1605.05110 (2016)
Coauthor Index
[j26] [j24] [j23] [j22] [j20] [j18] [j17] [j16] [j14] [j10] [j7] [j6] [j5] [c60] [c59] [c58] [c56] [c54] [c53] [c51] [c50] [c49] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c31] [c28] [c25] [c24] [c23] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c10] [c9] [c7] [c6] [c5] [i7] [i5] [i4] [i3] [i2] [i1]
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