Principles of Non-stationary Hidden Markov Model and Its Applications to Sequence Labeling Task. - JingHui Xiao; Bingquan Liu; Xiaolong Wang 001 (IJCNLP, 2005)

A Similarity-Based Approach to Data Sparseness Problem of Chinese Language Modeling. - JingHui Xiao; Bingquan Liu; Xiaolong Wang 001; Bing Li (MICAI, 2005)

Research of Sentence-Level Intelligent Input Method Based on Symbian OS. - Jianguo Sun; Bingquan Liu; Xuan Wang (IMSCCS (2), 2006)

Extracting domain-specific terms from unlabeled web documents by bootstrapping and term classifiers. - Tao Liu 001; Xiaolong Wang 001; Bingquan Liu; Yuanchao Liu; Minghui Li (SMC, 2007)

An Empirical Study of Non-Stationary Ngram Model and its Smoothing Techniques. - JingHui Xiao; Bingquan Liu; Xiaolong Wang 001 (Int. J. Comput. Linguistics Chin. Lang. Process., 2007)

The Effectiveness Study of Local Maximum Feature for Chinese Unknown Word Identification. - Tao Liu 001; Bingquan Liu; Xiaolong Wang 001; Minghui Li (J. Chin. Lang. Comput., 2007)

The study of a nonstationary maximum entropy Markov model and its application on the pos-tagging task. - JingHui Xiao; Xiaolong Wang 001; Bingquan Liu (ACM Trans. Asian Lang. Inf. Process., 2007)

Document relevance calculation based on Lexical cohesion with structure analysis. - Yuming Zhao; Bingquan Liu; Xiaolong Wang 001 (J. Chin. Lang. Comput., 2008)

Adaptive Maximum Marginal Relevance Based Multi-email Summarization. - Baoxun Wang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001; Bo Li (AICI, 2009)

Foxinfo1.0: A Chinese Topic-Oriented Search Engine. - Ke Sun 007; Lei Lin 001; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001 (IALP, 2009)

Extracting Chinese Question-Answer Pairs from Online Forums. - Baoxun Wang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001; Lin Sun 010 (SMC, 2009)

CRF tagging for head recognition based on Stanford parser. - Yong Cheng; Chengjie Sun; Bingquan Liu; Lei Lin 001 (CIPS-SIGHAN, 2010)

Modeling Semantic Relevance for Question-Answer Pairs in Web Social Communities. - Baoxun Wang; Xiaolong Wang 001; Chengjie Sun; Bingquan Liu; Lin Sun 010 (ACL, 2010)

Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields. - Lei Jiang; Yuanchao Liu; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001 (AIRS, 2010)

Random Sampling Image to Class Distance for Photo Annotation. - Deyuan Zhang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001 (CLEF (Notebook Papers/LABs/Workshops), 2010)

Learning to Detect Hedges and their Scope Using CRF. - Qi Zhao; Chengjie Sun; Bingquan Liu; Yong Cheng (CoNLL Shared Task, 2010)

A study of features on Primary Question detection in Chinese online forums. - Lin Sun 010; Bingquan Liu; Baoxun Wang; Deyuan Zhang; Xiaolong Wang 001 (FSKD, 2010)

SimRank: A link analysis based blogger recommendation algorithm using text similarity. - Chang Sun; Bingquan Liu; Chengjie Sun; Deyuan Zhang; Xiaolong Wang 001 (ICMLC, 2010)

A clustering based fast detection algorithm for large scale duplicate emails. - Lin Sun 010; Bingquan Liu; Baoxun Wang; Xiaolong Wang 001 (ICMLC, 2010)

An information extraction system for heterogeneous Web source. - Ting Zhou; Chengjie Sun; Lei Lin 001; Bingquan Liu (ICMLC, 2010)

Learning the Kernel Combination for Object Categorization. - Deyuan Zhang; Xiaolong Wang 001; Bingquan Liu (ICPR, 2010)

Based on the Fuzzy Mathematics Model of Quality Management of Highway Construction Project. - Bingquan Liu; Fenghua Wen; Yaozhong Wang (CSEE (3), 2011)

Finding main topics in blogosphere using document clustering based on topic model. - Wen-Feng Xuan; Bingquan Liu; Chengjie Sun; Deyuan Zhang; Xiaolong Wang 001 (ICMLC, 2011)

Making Image to Class Distance Comparable. - Deyuan Zhang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001 (ICONIP (2), 2011)

Learning to Combine Kernels for Object Categorization. - Deyuan Zhang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001 (Comput. Inf. Sci., 2011)

Learning the Classifier Combination for Image Classification. - Deyuan Zhang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001 (J. Comput., 2011)

Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs. - Baoxun Wang; Bingquan Liu; Xiaolong Wang 001; Chengjie Sun; Deyuan Zhang (ACM Trans. Asian Lang. Inf. Process., 2011)

Generating Questions from Web Community Contents. - Baoxun Wang; Bingquan Liu; Chengjie Sun; Xiaolong Wang 001; Deyuan Zhang (COLING (Demos), 2012)

Detecting hot topics in technology news streams. - Bo You; Ming Liu 004; Bingquan Liu; Xiaolong Wang 001 (ICMLC, 2012)

Features for link prediction in social networks: A comprehensive study. - Feng Liu 041; Bingquan Liu; Xiaolong Wang 001; Ming Liu 004; Baoxun Wang (SMC, 2012)

Multimodal DBN for Predicting High-Quality Answers in cQA portals. - Haifeng Hu 002; Bingquan Liu; Baoxun Wang; Ming Liu 004; Xiaolong Wang 001 (ACL (2), 2013)

Exploring social features for answer quality prediction in CQA portals. - Haifeng Hu 002; Bingquan Liu; Baoxun Wang; Ming Liu 004; Xiaolong Wang 001 (ICMLC, 2013)

Deep Learning Approaches for Link Prediction in Social Network Services. - Feng Liu 041; Bingquan Liu; Chengjie Sun; Ming Liu 004; Xiaolong Wang 001 (ICONIP (2), 2013)

Expanding User Features with Social Relationships in Social Recommender Systems. - Chengjie Sun; Lei Lin 001; Yuan Chen; Bingquan Liu (NLPCC, 2013)

Abstract Sentence Classification for Scientific Papers Based on Transductive SVM. - Yuanchao Liu; Feng Wu; Ming Liu 004; Bingquan Liu (Comput. Inf. Sci., 2013)

A Novel Approach for Dynamic Polarity Mining from Customer Reviews. - Yuanchao Liu; Xin Wang 017; Chengjie Sun; Bingquan Liu (Comput. Inf. Sci., 2013)

Probability-based text clustering algorithm by alternately repeating two operations. - Ming Liu 004; Yuanchao Liu; Bingquan Liu; Lei Lin 001 (J. Inf. Sci., 2013)

WINGS: Writing with Intelligent Guidance and Suggestions. - Xianjun Dai; Yuanchao Liu; Xiaolong Wang 001; Bingquan Liu (ACL (System Demonstrations), 2014)

Computing Semantic Relatedness Using a Word-Text Mutual Guidance Model. - Bingquan Liu; Jian Feng; Ming Liu 004; Feng Liu 041; Xiaolong Wang 001; Peng Li (NLPCC, 2014)

Linking Entities in Tweets to Wikipedia Knowledge Base. - Xianqi Zou; Chengjie Sun; Yaming Sun; Bingquan Liu; Lei Lin 001 (NLPCC, 2014)

Moderate Deviation for Parameter Estimation in the Rayleigh Diffusion Process. - Nenghui Kuang; Bingquan Liu (Commun. Stat. Simul. Comput., 2014)

Improving Link Prediction in Social Networks by User Comments and Sentiment Lexicon. - Feng Liu 041; Bingquan Liu; Chengjie Sun; Ming Liu 004; Xiaolong Wang 001 (CCL, 2015)

Evaluating tag quality for blogger modelling via topic models. - Lili Shan; Chengjie Sun; Lei Lin 001; Ming Liu 004; Xiaolong Wang 001; Bingquan Liu (FSKD, 2015)

Multimodal Deep Belief Network Based Link Prediction and User Comment Generation. - Feng Liu 041; Bingquan Liu; Chengjie Sun; Ming Liu 004; Xiaolong Wang 001 (ICONIP (4), 2015)

VRCA: A Clustering Algorithm for Massive Amount of Texts. - Ming Liu 004; Lei Chen; Bingquan Liu; Xiaolong Wang 001 (IJCAI, 2015)

Multimodal Learning Based Approaches for Link Prediction in Social Networks. - Feng Liu 041; Bingquan Liu; Chengjie Sun; Ming Liu 004; Xiaolong Wang 001 (NLPCC, 2015)

Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks. - Feng Liu 041; Bingquan Liu; Chengjie Sun; Ming Liu 004; Xiaolong Wang 001 (Entropy, 2015)

Classifying Blog Posts with Tag Propagation. - Bingquan Liu; Baoxun Wang; Zhen Xu 003; Xiaolong Wang 001; Peng Li (Int. J. Asian Lang. Process., 2015)

Predicting the quality of user-generated answers using co-training in community-based question answering portals. - Bingquan Liu; Jian Feng; Ming Liu 004; Haifeng Hu 002; Xiaolong Wang 001 (Pattern Recognit. Lett., 2015)

Enlarging drug dictionary with semi-supervised learning for Drug Entity Recognition. - Donghuo Zeng; Chengjie Sun; Lei Lin 001; Bingquan Liu (BIBM, 2016)

Incorporating Loose-Structured Knowledge into LSTM with Recall Gate for Conversation Modeling. - Zhen Xu 003; Bingquan Liu; Baoxun Wang; Chengjie Sun; Xiaolong Wang 001 (CoRR, 2016)

Combine Non-text Features with Deep Learning Structures Based on Attention-LSTM for Answer Selection. - Chang'e Jia; Chengjie Sun; Bingquan Liu; Lei Lin 001 (CCIR, 2017)

Collective Entity Linking Based on DBpedia. - Guidong Zheng; Ming Liu 004; Bingquan Liu (CCKS, 2017)

Neural Response Generation via GAN with an Approximate Embedding Layer. - Zhen Xu 003; Bingquan Liu; Baoxun Wang; Chengjie Sun; Xiaolong Wang 001; Zhuoran Wang; Chao Qi (EMNLP, 2017)

Recognizing Text Entailment via Bidirectional LSTM Model with Inner-Attention. - Chengjie Sun; Yang Liu; Chang'e Jia; Bingquan Liu; Lei Lin 001 (ICIC (3), 2017)

Incorporating loose-structured knowledge into conversation modeling via recall-gate LSTM. - Zhen Xu 003; Bingquan Liu; Baoxun Wang; Chengjie Sun; Xiaolong Wang 001 (IJCNN, 2017)

Resolving Chinese Zero Pronoun with Word Embedding. - Bingquan Liu; Xinkai Du; Ming Liu 004; Chengjie Sun; Guidong Zheng; Chao Zou (NLPCC, 2017)

ITNLP-AiKF at SemEval-2017 Task 1: Rich Features Based SVR for Semantic Textual Similarity Computing. - Wenjie Liu; Chengjie Sun; Lei Lin 001; Bingquan Liu (SemEval@ACL, 2017)

LSTM-CRF for Drug-Named Entity Recognition. - Donghuo Zeng; Chengjie Sun; Lei Lin 001; Bingquan Liu (Entropy, 2017)

Optimizing ranking for response prediction via triplet-wise learning from historical feedback. - Lili Shan; Lei Lin 001; Chengjie Sun; Xiaolong Wang 001; Bingquan Liu (Int. J. Mach. Learn. Cybern., 2017)

DBpedia-Based Entity Linking via Greedy Search and Adjusted Monte Carlo Random Walk. - Ming Liu 004; Lei Chen; Bingquan Liu; Guidong Zheng; Xiaoming Zhang (ACM Trans. Inf. Syst., 2017)

LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics. - Zhen Xu 003; Nan Jiang 010; Bingquan Liu; Wenge Rong; Bowen Wu 001; Baoxun Wang; Zhuoran Wang; Xiaolong Wang 001 (NAACL-HLT, 2018)

ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention. - Wenjie Liu; Chengjie Sun; Lei Lin 001; Bingquan Liu (SemEval@NAACL-HLT, 2018)

Modelling context with neural networks for recommending idioms in essay writing. - Yuanchao Liu; Bingquan Liu; Lili Shan; Xin Wang 017 (Neurocomputing, 2018)

Content-Oriented User Modeling for Personalized Response Ranking in Chatbots. - Bingquan Liu; Zhen Xu 003; Chengjie Sun; Baoxun Wang; Xiaolong Wang 001; Derek F. Wong; Min Zhang 005 (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing. - Yuanchao Liu; Bo Pang; Bingquan Liu (ACL (1), 2019)

A Neural Topic Model Based on Variational Auto-Encoder for Aspect Extraction from Opinion Texts. - Peng Cui 006; Yuanchao Liu; Bingquan Liu (NLPCC (1), 2019)

Dynamic Working Memory for Context-Aware Response Generation. - Zhen Xu 003; Chengjie Sun; Yinong Long; Bingquan Liu; Baoxun Wang; Mingjiang Wang; Min Zhang 005; Xiaolong Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples. - Yice Zhang; Jiaxuan Lin; Yang Fan; Peng Jin; Yuanchao Liu; Bingquan Liu (SemEval@COLING, 2020)

HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. - Shaobo Li 004; Xiaoguang Li; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Chengjie Sun; Zhenzhou Ji; Bingquan Liu (AAAI, 2021)

Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations. - Yunhe Xie; Kailai Yang; Chengjie Sun; Bingquan Liu; Zhenzhou Ji (EMNLP (Findings), 2021)

DA-GCN: A Dependency-Aware Graph Convolutional Network for Emotion Recognition in Conversations. - Yunhe Xie; Chengjie Sun; Bingquan Liu; Zhenzhou Ji (ICONIP (3), 2021)

Government Low-Carbon Regulations Based on Supply Chain Members' Behavior and Consumers' Channel Preference in a Dual-Channel Supply Chain. - Bingquan Liu; Xuran Chang; Boyang Nie; Yue Wang; Lingqi Meng (Complex., 2021)

Integrating Regular Expressions with Neural Networks via DFA. - Shaobo Li 004; Qun Liu 001; Xin Jiang 002; Yichun Yin; Chengjie Sun; Bingquan Liu; Zhenzhou Ji; Lifeng Shang (CoRR, 2021)

How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis. - Shaobo Li 004; Xiaoguang Li; Lifeng Shang; Zhenhua Dong; Chengjie Sun; Bingquan Liu; Zhenzhou Ji; Xin Jiang 002; Qun Liu 001 (ACL (Findings), 2022)

Pre-training Language Models with Deterministic Factual Knowledge. - Shaobo Li 004; Xiaoguang Li; Lifeng Shang; Chengjie Sun; Bingquan Liu; Zhenzhou Ji; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

HIT&QMUL at SemEval-2022 Task 9: Label-Enclosed Generative Question Answering (LEG-QA). - Weihe Zhai; Mingqiang Feng; Arkaitz Zubiaga; Bingquan Liu (SemEval@NAACL, 2022)

Transfer learning and GRU-CRF augmentation for Covid-19 fake news detection. - Andrea Stevens Karnyoto; Chengjie Sun; Bingquan Liu; Xiaolong Wang 001 (Comput. Sci. Inf. Syst., 2022)

Augmentation and heterogeneous graph neural network for AAAI2021-COVID-19 fake news detection. - Andrea Stevens Karnyoto; Chengjie Sun; Bingquan Liu; Xiaolong Wang 001 (Int. J. Mach. Learn. Cybern., 2022)

RPA: Reasoning Path Augmentation in Iterative Retrieving for Multi-Hop QA. - Ziyi Cao; Bingquan Liu; Shaobo Li 004 (AAAI, 2023)

Faithful Knowledge Graph Explanations for Commonsense Reasoning. - Weihe Zhai; Arkaitz Zubiaga; Bingquan Liu (CoRR, 2023)

Toward Explainable Dialogue System Using Two-stage Response Generation. - Shaobo Li 004; Chengjie Sun; Zhen Xu 003; Prayag Tiwari; Bingquan Liu; Deepak Gupta 002; K. Shankar 002; Zhenzhou Ji; Mingjiang Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Ar-PuFi: A short-text dataset to identify the offensive messages towards public figures in the Arabian community. - Mohamed Abdelhakim; Bingquan Liu; Chengie Sun (Expert Syst. Appl., 2023)

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation. - Wenbo Wang; Bingquan Liu; Lili Shan; Chengjie Sun; Ben Chen; Jian Guan (AAAI, 2024)

UniMPC: Towards a Unified Framework for Multi-Party Conversations. - Yunhe Xie; Chengjie Sun; Yifan Liu; Zhenzhou Ji; Bingquan Liu (CIKM, 2024)

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering. - Weihe Zhai; Arkaitz Zubiaga; Bingquan Liu; Chengjie Sun; Yalong Zhao (EMNLP, 2024)

Mutual Information Assisted Graph Convolution Network for Cold-Start Recommendation. - Wenbo Wang; Ben Chen; Bingquan Liu; Xinxin Wang; Luwei Yang; Wen Jiang; Wei Ning; Jian Guan (ICASSP, 2024)

Multi-View Contrastive Parsing Network for Emotion Recognition in Multi-Party Conversations. - Yunhe Xie; Chengjie Sun; Bingquan Liu; Zhenzhou Ji (IJCNN, 2024)

Spatial-Aware Efficient Projector for MLLMs via Multi-Layer Feature Aggregation. - Shun Qian; Bingquan Liu; Chengjie Sun; Zhen Xu 003; Baoxun Wang (CoRR, 2024)

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules. - Peijin Xie; Lin Sun; Bingquan Liu; Dexin Wang; Xiangzheng Zhang; Chengjie Sun; Jiajia Zhang (CoRR, 2024)

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]. - Mohamed Abdelhakim; Bingquan Liu; Chengie Sun (Expert Syst. Appl., 2024)

CroMIC-QA: The Cross-Modal Information Complementation Based Question Answering. - Shun Qian; Bingquan Liu; Chengjie Sun; Zhen Xu 003; Lin Ma 002; Baoxun Wang (IEEE Trans. Multim., 2024)

Probing Fundamental Visual Comprehend Capabilities on Vision Language Models via Visual Phrases from Structural Data. - Peijin Xie; Bingquan Liu (Cogn. Comput., 2024)

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules. - Peijin Xie; Lin Sun 010; Bingquan Liu; Dexin Wang; Xiangzheng Zhang; Chengjie Sun; Jiajia Zhang (AAAI, 2025)

LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics. - Yumeng Fu; Junjie Wu; Zhongjie Wang; Meishan Zhang; Lili Shan; Yulin Wu; Bingquan Liu (COLING, 2025)

A Dual Contrastive Learning Framework for Enhanced Multimodal Conversational Emotion Recognition. - Yunhe Xie; Chengjie Sun; Ziyi Cao; Bingquan Liu; Zhenzhou Ji; Yuanchao Liu; Lili Shan (COLING, 2025)

DCBU at GenAI Detection Task 1: Enhancing Machine-Generated Text Detection with Semantic and Probabilistic Features. - Zhaowen Zhang; Songhao Chen; Bingquan Liu (COLING Workshops, 2025)

Re3MHQA: Retrieve, Remove, and Return facts in multi-hop QA. - Ziyi Cao; Yunhe Xie; Bingquan Liu; Kun Bu (Expert Syst. Appl., 2025)

Stimulating conversation-style emergencies of multi-modal LMs. - Shun Qian; Bingquan Liu; Chengjie Sun; Zhen Xu 003; Baoxun Wang (Inf. Fusion, 2025)

BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation. - Yumeng Fu; Junjie Wu; Zhongjie Wang; Meishan Zhang; Yulin Wu; Bingquan Liu (CoRR, 2025)

Sparse Attention across Multiple-context KV Cache. - Ziyi Cao; Qingyi Si; Jingbin Zhang; Bingquan Liu (CoRR, 2025)