A Resource Reservation and Scheduling Algorithm for Learning On-Demand System over Satellite and Cable Network. - Qinghua Zheng; Yongling Song; Jun Liu 002; Dehong Yu (ISMSE, 2002)

A Method for User Behavior Modeling Based on Web Page Metadata. - Jun Liu 002; Qinghua Zheng; Franky Chan (CSCWD, 2006)

Multi-Object Multimedia Presentation Synchronization Strategy. - Ting Peng; Qinghua Zheng; Jun Liu 002; Shan Jiang; Yang Wu (CCNC, 2008)

Distributed Knowledge Management Based on Extended Topic Maps. - Huimin Lu 006; Boqin Feng; Yingliang Zhao; Qinghua Zheng; Jun Liu 002 (CSSE (1), 2008)

A New Model for Distributed Knowledge Organization Management. - Huimin Lu 006; Boqin Feng; Yingliang Zhao; Qinghua Zheng; Jun Liu 002 (GCC, 2008)

ETM Toolkit: A development tool based on Extended Topic Map. - Lu Jiang 001; Jun Liu 002; Zhaohui Wu 003; Qinghua Zheng; Ya-nan Qian (CSCWD, 2009)

A collaborative knowledge construction system design for massive knowledge resources. - Qinghua Zheng; Zhaohui Wu 003; Lu Jiang 001; Jun Liu 002 (CSCWD, 2009)

Exploiting various information for knowledge element relation recognition. - Wei Wang 255; Qinghua Zheng; Jun Liu 002; Yingying Chen; Pengfei Tang (GrC, 2009)

Learning Deep Web Crawling with Diverse Features. - Lu Jiang 001; Zhaohui Wu 003; Qinghua Zheng; Jun Liu 002 (Web Intelligence, 2009)

OrdRank: Learning to Rank with Ordered Multiple Hyperplanes. - Heli Sun; Jianbin Huang; Boqin Feng; Tao Li; Yingliang Zhao; Jun Liu 002 (Web Intelligence, 2009)

Crawling Deep Web Content through Query Forms. - Jun Liu 002; Zhaohui Wu 003; Lu Jiang 001; Qinghua Zheng; Xiao Liu (WEBIST, 2009)

Abstracting Markov Networks. - Lorenza Saitta; Christel Vrain; Zhaohui Wu 003; Lu Jiang 001; Qinghua Zheng; Jun Liu 002 (Abstraction, Reformulation, and Approximation, 2010)

Incremental Projection Vector Machine: A One-Stage Learning Algorithm for High-Dimension Large-Sample Dataset. - Qinghua Zheng; Xin Wang; Wanyu Deng; Jun Liu 002; Xiyuan Wu (Australasian Conference on Artificial Intelligence, 2010)

New collaborative recommendation approach based on concept lattice. - Qinjiao Mao; Boqin Feng; Shanliang Pan; Qinghua Zheng; Jun Liu 002 (FSKD, 2010)

Ranking Difficulty of Knowledge Units Based on Learning Dependency. - Jun Liu 002; Sha Sha; Qinghua Zheng; Ling Chen 006 (ICEBE, 2010)

Yotta: A Knowledge Map Centric E-Learning System. - Qinghua Zheng; Ya-nan Qian; Jun Liu 002 (ICEBE, 2010)

Efficient Deep Web Crawling Using Reinforcement Learning. - Lu Jiang 001; Zhaohui Wu 003; Qian Feng; Jun Liu 002; Qinghua Zheng (PAKDD (1), 2010)

Mining preorder relation between knowledge units from text. - Jun Liu 002; Lu Jiang 001; Zhaohui Wu 003; Qinghua Zheng; Ya-nan Qian (SAC, 2010)

Automatic term extraction from Chinese scientific texts. - Qinghua Zheng; Junying Luo; Jun Liu 002 (CSCWD, 2011)

Deep Web adaptive crawling based on minimum executable pattern. - Jun Liu 002; Lu Jiang 001; Zhaohui Wu 003; Qinghua Zheng (J. Intell. Inf. Syst., 2011)

Mining learning-dependency between knowledge units from text. - Jun Liu 002; Lu Jiang 001; Zhaohui Wu 003; Qinghua Zheng; Ya-nan Qian (VLDB J., 2011)

Learning to identify core term of knowledge unit from short text. - Zhenhua Tian; Zhen Wang; Ziqi Liu; Hengheng Xiang; Jun Liu 002; Qinghua Zheng (FSKD, 2012)

MOTIF-RE: Motif-Based Hypernym/Hyponym Relation Extraction from Wikipedia Links. - Bifan Wei; Jun Liu 002; Jian Ma; Qinghua Zheng; Wei Zhang 053; Boqin Feng (ICONIP (5), 2012)

Ranking the Difficulty Level of the Knowledge Units Based on Learning Dependency. - Jun Liu 002; Sha Sha; Qinghua Zheng; Wei Zhang 053 (Int. J. Distance Educ. Technol., 2012)

Topological analysis of knowledge maps. - Jun Liu 002; Jincheng Wang; Qinghua Zheng; Wei Zhang 053; Lu Jiang 001 (Knowl. Based Syst., 2012)

Analysis on Topic Map Oriented E-Learner Behavior and Study Efficiency. - Hongying Bao; Haiping Zhu; Jun Liu 002; Feng Tian 002; Yan Chen 031 (HPCC/EUC, 2013)

DFT-extractor: a system to extract domain-specific faceted taxonomies from wikipedia. - Bifan Wei; Jun Liu 002; Jian Ma; Qinghua Zheng; Wei Zhang 053; Boqin Feng (WWW (Companion Volume), 2013)

Learning to crawl deep web. - Qinghua Zheng; Zhaohui Wu 003; Xiaocheng Cheng; Lu Jiang 001; Jun Liu 002 (Inf. Syst., 2013)

A Survey of Faceted Search. - Bifan Wei; Jun Liu 002; Qinghua Zheng; Wei Zhang 053; Xiaoyu Fu; Boqin Feng (J. Web Eng., 2013)

Faceted Exploring for Domain Knowledge over Linked Open Data. - Meng Wang 009; Jun Liu 002; Wenqiang Liu; Qinghua Zheng; Wei Zhang 053; Lingyun Song; Siyu Yao (CIKM, 2014)

MiCA: Real-Time Mixed Compression Scheme for Large-Scale Distributed Monitoring. - Bo Wang 018; Ying Song; Yuzhong Sun; Jun Liu 002 (ICPP, 2014)

Motif-Based Hyponym Relation Extraction from Wikipedia Hyperlinks. - Bifan Wei; Jun Liu 002; Jian Ma; Qinghua Zheng; Wei Zhang 053; Boqin Feng (IEEE Trans. Knowl. Data Eng., 2014)

ANNA: Answering Why-Not Questions for SPARQL. - Siyu Yao; Jun Liu 002; Meng Wang 009; Bifan Wei; Xuelu Chen (ISWC (Posters & Demos), 2015)

Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. - Ni Xue; Huan He; Jun Liu 002; Qinghua Zheng; Tian Ma; Jianfei Ruan; Bo Dong 001 (TrustCom/BigDataSE/ISPA (2), 2015)

Workload modeling for virtual machine-hosted application. - Weizhan Zhang; Jun Liu 002; Chen Liu; Qinghua Zheng; Wei Zhang 053 (Expert Syst. Appl., 2015)

Knowledge Engineering with Big Data. - Xindong Wu 001; Huanhuan Chen; Gong-Qing Wu; Jun Liu 002; Qinghua Zheng; Xiaofeng He; Aoying Zhou; Zhong-Qiu Zhao; Bifan Wei; Yang Li 066; Qiping Zhang; Shichao Zhang 001 (IEEE Intell. Syst., 2015)

Trustworthy data fusion and mining in Internet of Things. - Zheng Yan 002; Jun Liu 002; Athanasios V. Vasilakos; Laurence T. Yang (Future Gener. Comput. Syst., 2015)

Faceted fusion of RDF data. - Wen-qian Liu; Jun Liu 002; Meng Wang 009; Qinghua Zheng; Wei Zhang 053; Lingyun Song; Siyu Yao (Inf. Fusion, 2015)

Fusion - An aide to data mining in Internet of Things. - Jun Liu 002; Zheng Yan 002; Laurence T. Yang (Inf. Fusion, 2015)

Dynamic author name disambiguation for growing digital libraries. - Ya-nan Qian; Qinghua Zheng; Tetsuya Sakai; Junting Ye; Jun Liu 002 (Inf. Retr. J., 2015)

Optimizing word set coverage for multi-event summarization. - Jihong Yan; Wenliang Cheng; Chengyu Wang 001; Jun Liu 002; Ming Gao 001; Aoying Zhou (J. Comb. Optim., 2015)

DF-Miner: Domain-specific facet mining by leveraging the hyperlink structure of Wikipedia. - Bifan Wei; Jun Liu 002; Qinghua Zheng; Wei Zhang 053; Chenchen Wang; Bei Wu (Knowl. Based Syst., 2015)

LS-AMS: An Adaptive Indexing Structure for Realtime Search on Microblogs. - Feng Zhao 003; Jun Liu 002; Jingyu Zhou; Hai Jin 001; Laurence T. Yang (IEEE Trans. Big Data, 2015)

microblogPCU. - Hao Chen; Mengting Zhan; Jianhong Mi; Yanzhang Lv; Jun Liu 002 (UCI Machine Learning Repository, 2015)

Frequent Subgraph Based Familial Classification of Android Malware. - Ming Fan 002; Jun Liu 002; Xiapu Luo; Kai Chen 012; Tianyi Chen; Zhenzhou Tian; Xiaodong Zhang 014; Qinghua Zheng; Ting Liu 002 (ISSRE, 2016)

Managing deadline-constrained bag-of-tasks jobs on hybrid clouds. - Bo Wang 018; Ying Song; Yuzhong Sun; Jun Liu 002 (SpringSim (HPS), 2016)

Server consolidation for internet applications in virtualized data centers. - Bo Wang 018; Ying Song; Yuzhong Sun; Jun Liu 002 (SpringSim (HPS), 2016)

Improvements to Online Distributed Monitoring Systems. - Bo Wang 018; Ying Song; Yuzhong Sun; Jun Liu 002 (Trustcom/BigDataSE/ISPA, 2016)

Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data. - Wenqiang Liu; Jun Liu 002; Haimeng Duan; Xie He; Bifan Wei (CoRR, 2016)

TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data. - Wenqiang Liu; Jun Liu 002; Jian Zhang 087; Haimeng Duan; Bifan Wei (CoRR, 2016)

Sparse Multi-Modal Topical Coding for Image Annotation. - Lingyun Song; Minnan Luo; Jun Liu 002; Lingling Zhang 005; Buyue Qian; Max Haifei Li; Qinghua Zheng (Neurocomputing, 2016)

Managing Deadline-constrained Bag-of-Tasks Jobs on Hybrid Clouds with Closest Deadline First Scheduling. - Bo Wang 018; Ying Song; Yuzhong Sun; Jun Liu 002 (KSII Trans. Internet Inf. Syst., 2016)

Editorial: Trust Management for Multimedia Big Data. - Zheng Yan 002; Jun Liu 002; Robert H. Deng; Francisco Herrera (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. - Yuanhao Zheng; Bifan Wei; Jun Liu 002; Meng Wang 009; Weitong Chen 001; Bei Wu; Yihe Chen (ADMA, 2017)

DKG: An Expanded Knowledge Base for Online Course. - Haimeng Duan; Yuanhao Zheng; Lei Shi; Changhong Jin; Hongwei Zeng; Jun Liu 002 (DASFAA Workshops, 2017)

Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data. - Wenqiang Liu; Jun Liu 002; Haimeng Duan; Wei Hu 007; Bifan Wei (ESWC (1), 2017)

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. - Meng Wang 009; Jiaheng Zhang; Jun Liu 002; Wei Hu 007; Sen Wang 001; Xue Li 001; Wenqiang Liu (ISWC (2), 2017)

TruthDiscover: Resolving Object Conflicts on Massive Linked Data. - Wenqiang Liu; Jun Liu 002; Haimeng Duan; Jian Zhang 087; Wei Hu 007; Bifan Wei (WWW (Companion Volume), 2017)

Opinioned Post Detection in Sina Weibo. - Yanzhang Lv; Jun Liu 002; Hao Chen; Jianhong Mi; Mengyue Liu; Qinghua Zheng (IEEE Access, 2017)

Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project. - Xindong Wu 001; Huanhuan Chen; Jun Liu 002; Gong-Qing Wu; Ruqian Lu; Nanning Zheng 001 (IEEE Access, 2017)

Internet traffic classification based on expanding vector of flow. - Lei Ding; Jun Liu 002; Tao Qin 002; Haifei Li 002 (Comput. Networks, 2017)

Safe Medicine Recommendation via Medical Knowledge Graph Embedding. - Meng Wang 009; Mengyue Liu; Jun Liu 002; Sen Wang 001; Guodong Long; Buyue Qian (CoRR, 2017)

Distributed extreme learning machine with alternating direction method of multiplier. - Minnan Luo; Lingling Zhang 005; Jun Liu 002; Jun Guo; Qinghua Zheng (Neurocomputing, 2017)

Special issue on pervasive social networking. - Zheng Yan 002; Jun Liu 002; Laurence T. Yang (J. Netw. Comput. Appl., 2017)

Sparse Relational Topical Coding on multi-modal data. - Lingyun Song; Jun Liu 002; Minnan Luo; Buyue Qian; Kuan Yang (Pattern Recognit., 2017)

Guest Editorial Data Mining in Cyber, Physical, and Social Computing. - Jun Liu 002; Zheng Yan 002; Athanasios V. Vasilakos; Laurence T. Yang (IEEE Syst. J., 2017)

DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis. - Ming Fan 002; Jun Liu 002; Wei Wang 012; Haifei Li 002; Zhenzhou Tian; Ting Liu 002 (IEEE Trans. Inf. Forensics Secur., 2017)

AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems. - Ruoqing Ren; Haimeng Duan; Wenqiang Liu; Jun Liu 002 (APWeb/WAIM Workshops, 2018)

Graph Embedding Based Query Construction Over Knowledge Graphs. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Siyu Yao; Qinghua Zheng (ICBK, 2018)

Interpretative Topic Categorization Via Deep Multiple Instance Learning. - Tong Yu 008; Meng Wang 009; Yanzhang Lv; Luguo Xue; Jun Liu 002 (IJCNN, 2018)

Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. - Meng Wang 009; Ruijie Wang 003; Jun Liu 002; Yihe Chen; Lei Zhang 034; Guilin Qi (ISWC (1), 2018)

Representation learning over multiple knowledge graphs for knowledge graphs alignment. - Wenqiang Liu; Jun Liu 002; Mengmeng Wu; Samar Abbas; Wei Hu 007; Bifan Wei; Qinghua Zheng (Neurocomputing, 2018)

Semi-supervised clue fusion for spammer detection in Sina Weibo. - Hao Chen; Jun Liu 002; Yanzhang Lv; Max Haifei Li; Mengyue Liu; Qinghua Zheng (Inf. Fusion, 2018)

Big data fusion in Internet of Things. - Zheng Yan 002; Jun Liu 002; Laurence T. Yang; Nitesh V. Chawla (Inf. Fusion, 2018)

Deterministic construction of compressed sensing matrices based on semilattices. - Jun Guo; Jun Liu 002 (J. Comb. Optim., 2018)

Answering why-not questions on semantic multimedia queries. - Meng Wang 009; Weitong Chen 001; Sen Wang 001; Jun Liu 002; Xue Li 001; Bela Stantic (Multim. Tools Appl., 2018)

Facet Annotation by Extending CNN with a Matching Strategy. - Bei Wu; Bifan Wei; Jun Liu 002; Zhaotong Guo; Yuanhao Zheng; Yihe Chen (Neural Comput., 2018)

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng (Neural Comput., 2018)

Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis. - Ming Fan 002; Jun Liu 002; Xiapu Luo; Kai Chen 012; Zhenzhou Tian; Qinghua Zheng; Ting Liu 002 (IEEE Trans. Inf. Forensics Secur., 2018)

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. - Lingyun Song; Jun Liu 002; Buyue Qian; Mingxuan Sun; Kuan Yang; Meng Sun; Samar Abbas (IEEE Trans. Image Process., 2018)

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding. - Lingyun Song; Jun Liu 002; Buyue Qian; Yihe Chen (AAAI, 2019)

TF-Miner: Topic-Specific Facet Mining by Label Propagation. - Zhaotong Guo; Bifan Wei; Jun Liu 002; Bei Wu (DASFAA (3), 2019)

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Weitong Chen 001; Michael Cochez; Stefan Decker (DASFAA (1), 2019)

Anomaly Detection in Time-Evolving Attributed Networks. - Luguo Xue; Minnan Luo; Zhen Peng 005; Jundong Li; Yan Chen 031; Jun Liu 002 (DASFAA (3), 2019)

Graph embedding based familial analysis of Android malware using unsupervised learning. - Ming Fan 002; Xiapu Luo; Jun Liu 002; Meng Wang 009; Chunyin Nong; Qinghua Zheng; Ting Liu 002 (ICSE, 2019)

Analysis model for server consolidation of virtualized heterogeneous data centers providing internet services. - Bo Wang 018; Ying Song; Yuzhong Sun; Jun Liu 002 (Clust. Comput., 2019)

Extended Answer and Uncertainty Aware Neural Question Generation. - Hongwei Zeng; Zhuo Zhi; Jun Liu 002; Bifan Wei (CoRR, 2019)

Joint Embedding Learning of Educational Knowledge Graphs. - Siyu Yao; Ruijie Wang 003; Shen Sun; Derui Bu; Jun Liu 002 (CoRR, 2019)

AHNG: Representation learning on attributed heterogeneous network. - Mengyue Liu; Jun Liu 002; Yihe Chen; Meng Wang 009; Hao Chen; Qinghua Zheng (Inf. Fusion, 2019)

A new truth discovery method for resolving object conflicts over Linked Data with scale-free property. - Wenqiang Liu; Jun Liu 002; Bifan Wei; Haimeng Duan; Wei Hu 007 (Knowl. Inf. Syst., 2019)

Answering why-not questions on SPARQL queries. - Meng Wang 009; Jun Liu 002; Bifan Wei; Siyu Yao; Hongwei Zeng; Lei Shi (Knowl. Inf. Syst., 2019)

Scheduled sampling for one-shot learning via matching network. - Lingling Zhang 005; Jun Liu 002; Minnan Luo; Xiaojun Chang; Qinghua Zheng; Alexander G. Hauptmann (Pattern Recognit., 2019)

Large-Scale Robust Semisupervised Classification. - Lingling Zhang 005; Minnan Luo; Zhihui Li 001; Feiping Nie 001; Huaxiang Zhang 001; Jun Liu 002; Qinghua Zheng (IEEE Trans. Cybern., 2019)

ZSTAD: Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Sen Wang 001; Zongyuan Ge; Alexander G. Hauptmann (CVPR, 2020)

An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. - Ming Fan 002; Le Yu 002; Sen Chen 001; Hao Zhou 009; Xiapu Luo; Shuyue Li; Yang Liu 003; Jun Liu 002; Ting Liu 002 (ISSRE, 2020)

Jointly Optimized Neural Coreference Resolution with Mutual Attention. - Jie Ma 001; Jun Liu 002; Yufei Li 002; Xin Hu; Yudai Pan; Shen Sun; Qika Lin (WSDM, 2020)

XTQA: Span-Level Explanations of the Textbook Question Answering. - Jie Ma 001; Jun Liu 002; Junjun Li; Qinghua Zheng; Qingyu Yin; Jianlong Zhou; Yi Huang (CoRR, 2020)

Supporting poverty-stricken college students in smart campus. - Fan Wu; Qinhua Zheng; Feng Tian 002; Zhihai Suo; Yuan Zhou; Kuo-Ming Chao; Mo Xu; Nazaraf Shah; Jun Liu 002; Fei Li (Future Gener. Comput. Syst., 2020)

An anomaly detection framework for time-evolving attributed networks. - Luguo Xue; Yan Chen 031; Minnan Luo; Zhen Peng 005; Jun Liu 002 (Neurocomputing, 2020)

Data fusion in heterogeneous networks. - Zheng Yan 002; Jun Liu 002; Laurence T. Yang; Witold Pedrycz (Inf. Fusion, 2020)

Structured query construction via knowledge graph embedding. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Michael Cochez; Stefan Decker (Knowl. Inf. Syst., 2020)

Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. - Xin Hu; Jun Liu 002; Jie Ma 001; Yudai Pan; Lingling Zhang 005 (Neural Comput., 2020)

Few-shot activity recognition with cross-modal memory network. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Mahesh Prakash; Alexander G. Hauptmann (Pattern Recognit., 2020)

Diverse fuzzy c-means for image clustering. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Zhihui Li 001; Qinghua Zheng (Pattern Recognit. Lett., 2020)

Deep Top-$k$ Ranking for Image-Sentence Matching. - Lingling Zhang 005; Minnan Luo; Jun Liu 002; Xiaojun Chang; Yi Yang 001; Alexander G. Hauptmann (IEEE Trans. Multim., 2020)

CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis. - Ming Fan 002; Xiapu Luo; Jun Liu 002; Chunyin Nong; Qinghua Zheng; Ting Liu 002 (IEEE Trans. Reliab., 2020)

CSDQA: Diagram Question Answering in Computer Science. - Shaowei Wang; Lingling Zhang 005; Yi Yang 073; Xin Hu; Tao Qin 002; Bifan Wei; Jun Liu 002 (CCKS, 2021)

ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters. - Hongxuan Li; Bifan Wei; Jun Liu 002; Zhaotong Guo; Jingchao Qi; Bei Wu; Yong Liu; Yuanyuan Shi (ICBK, 2021)

Fuzzy c-Means Clustering with Discriminative Projection. - Wenjun Wu; Lingling Zhang 005; Yiwei Chen; Xuan Luo; Bifan Wei; Jun Liu 002 (ICBK, 2021)

Multi-task Learning for Multi-turn Dialogue Generation with Topic Drift Modeling. - Hongwei Zeng; Zhenjie Hong; Jun Liu 002; Bifan Wei (ICBK, 2021)

Reliable Recommendation with Review-level Explanations. - Yanzhang Lyu; Hongzhi Yin; Jun Liu 002; Mengyue Liu; Huan Liu 012; Shizhuo Deng (ICDE, 2021)

Knowledge forest: a novel model to organize knowledge fragments. - Qinghua Zheng; Jun Liu 002; Hongwei Zeng; Zhaotong Guo; Bei Wu; Bifan Wei (Sci. China Inf. Sci., 2021)

RL-CSDia: Representation Learning of Computer Science Diagrams. - Shaowei Wang; Lingling Zhang 005; Xuan Luo; Yi Yang 073; Xin Hu; Jun Liu 002 (CoRR, 2021)

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Xin Hu; Tianzhe Zhao; Qika Lin (CoRR, 2021)

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan (CoRR, 2021)

Weakly Supervised Group Mask Network for Object Detection. - Lingyun Song; Jun Liu 002; Mingxuan Sun; Xuequn Shang 001 (Int. J. Comput. Vis., 2021)

A sequence to sequence model for dialogue generation with gated mixture of topics. - Hongwei Zeng; Jun Liu 002; Meng Wang 009; Bifan Wei (Neurocomputing, 2021)

Context-Controlled Topic-Aware Neural Response Generation for Open-Domain Dialog Systems. - Yanxiang Ling; Fei Cai; Xuejun Hu; Jun Liu 002; Wanyu Chen; Honghui Chen (Inf. Process. Manag., 2021)

Rule-enhanced iterative complementation for knowledge graph reasoning. - Qika Lin; Jun Liu 002; Yudai Pan; Lingling Zhang 005; Xin Hu; Jie Ma 001 (Inf. Sci., 2021)

Improving paragraph-level question generation with extended answer network and uncertainty-aware beam search. - Hongwei Zeng; Zhuo Zhi; Jun Liu 002; Bifan Wei (Inf. Sci., 2021)

Symmetric implicational restriction method of fuzzy inference. - Yiming Tang 001; Wenbin Wu; Youcheng Zhang; Witold Pedrycz; Fuji Ren; Jun Liu 002 (Kybernetika, 2021)

Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Qinghua Zheng; Jianlong Zhou (IEEE Trans. Image Process., 2021)

Faceted Text Segmentation via Multitask Learning. - Bei Wu; Bifan Wei; Jun Liu 002; Kewei Wu; Meng Wang 009 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. - Siyu Yao; Tianzhe Zhao; Fangzhi Xu; Jun Liu 002 (APWeb/WAIM (2), 2022)

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qika Lin; Xin Hu; Qianying Wang (EMNLP, 2022)

MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Xi Liang; Yujie Zhong; Yaqiang Wu (EMNLP, 2022)

BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-task Learning. - Yuecheng Rong; Jun Liu 002; Zhilin Xu; Jian Ding; Chuangming Zhang; Jiaxiang Gao (ECML/PKDD (6), 2022)

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. - Qika Lin; Jun Liu 002; Fangzhi Xu; Yudai Pan; Yifan Zhu 001; Lingling Zhang 005; Tianzhe Zhao (SIGIR, 2022)

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. - Fangzhi Xu; Jun Liu 002; Qika Lin; Yudai Pan; Lingling Zhang 005 (SIGIR, 2022)

Prompt-based Generative Approach towards Multi-Hierarchical Medical Dialogue State Tracking. - Jun Liu 002; Tong Ruan; Haofen Wang; Huanhuan Zhang (CoRR, 2022)

A deep grouping fusion neural network for multimedia content understanding. - Lingyun Song; Mengzhen Yu; Xuequn Shang 001; Yu Lu 003; Jun Liu 002; Ying Zhang; Zhanhuai Li (IET Image Process., 2022)

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning. - Lingling Zhang 005; Shaowei Wang; Xiaojun Chang; Jun Liu 002; Zongyuan Ge; Qinghua Zheng (IEEE Trans. Circuits Syst. Video Technol., 2022)

Weakly Supervised Learning for Textbook Question Answering. - Jie Ma 001; Qi Chai; Jingyue Huang; Jun Liu 002; Yang You 001; Qinghua Zheng (IEEE Trans. Image Process., 2022)

Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data. - Yuecheng Rong; Zhimian Xu; Jun Liu 002; Hao Liu 026; Jian Ding; Xuanyu Liu; Wei Luo; Chuanming Zhang; Jiaxiang Gao (IEEE Trans. Intell. Transp. Syst., 2022)

Computer Science Diagram Understanding with Topology Parsing. - Shaowei Wang; Lingling Zhang 005; Xuan Luo; Yi Yang 073; Xin Hu; Tao Qin 002; Jun Liu 002 (ACM Trans. Knowl. Discov. Data, 2022)

Towards Understanding the Instability of Network Embedding. - Chenxu Wang 001; Wei Rao 004; Wenna Guo; Pinghui Wang; Jun Liu 002; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2022)

GPTR: Gestalt-Perception Transformer for Diagram Object Detection. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Jinfu Fan; Yang You 001; Yaqiang Wu (AAAI, 2023)

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. - Qika Lin; Jun Liu 002; Rui Mao 010; Fangzhi Xu; Erik Cambria (ACL (1), 2023)

Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model. - Hongwei Zeng; Bifan Wei; Jun Liu 002; Weiping Fu (ACL (1), 2023)

GBTTE: Graph Attention Network Based Bus Travel Time Estimation. - Yuecheng Rong; Juntao Yao; Jun Liu 002; Yifan Fang; Wei Luo; Hao Liu 026; Jie Ma 001; Zepeng Dan; Jinzhu Lin; Zhi Wu; Yan Zhang; Chuanming Zhang (CIKM, 2023)

Towards Understanding the Instability of Network Embedding (Extended Abstract). - Chenxu Wang 001; Wei Rao 004; Wenna Guo; Pinghui Wang; Jun Liu 002; Xiaohong Guan (ICDE, 2023)

Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention. - Xin Hu; Lingling Zhang 005; Jun Liu 002; Xinyu Zhang 021; Wenjun Wu; Qianying Wang (IJCAI, 2023)

B2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning. - Mengyue Liu; Yun Lin 001; Jun Liu 002; Bohao Liu; Qinghua Zheng; Jin Song Dong 001 (KDD, 2023)

Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. - Bin Shang; Yinliang Zhao; Di Wang 011; Jun Liu 002 (SIGIR, 2023)

Adaptive loose optimization for robust question answering. - Jie Ma 001; Pinghui Wang; Zewei Wang; Dechen Kong; Min Hu; Ting Han; Jun Liu 002 (CoRR, 2023)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. - Fangzhi Xu; Qika Lin; Jiawei Han 010; Tianzhe Zhao; Jun Liu 002; Erik Cambria (CoRR, 2023)

Fusing topology contexts and logical rules in language models for knowledge graph completion. - Qika Lin; Rui Mao 010; Jun Liu 002; Fangzhi Xu; Erik Cambria (Inf. Fusion, 2023)

Answering knowledge-based visual questions via the exploration of Question Purpose. - Lingyun Song; Jianao Li; Jun Liu 002; Yang Yang; Xuequn Shang 001; Mingxuan Sun (Pattern Recognit., 2023)

DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Lingling Zhang 005; Jiaxin Wang 002; Qianying Wang (IEEE Trans. Image Process., 2023)

Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering. - Jie Ma 001; Jun Liu 002; Yaxian Wang; Junjun Li; Tongliang Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Generating Relevant and Informative Questions for Open-Domain Conversations. - Yanxiang Ling; Fei Cai; Jun Liu 002; Honghui Chen; Maarten de Rijke (ACM Trans. Inf. Syst., 2023)

A Boundary Regression Model for Nested Named Entity Recognition. - Yanping Chen 010; Lefei Wu; Qinghua Zheng; Ruizhang Huang; Jun Liu 002; Liyuan Deng; Junhui Yu; Yongbin Qing; Bo Dong 001; Ping Chen 001 (Cogn. Comput., 2023)

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. - Lingling Zhang 005; Xiaojun Chang; Jun Liu 002; Minnan Luo; Zhihui Li 001; Lina Yao 001; Alex Hauptmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multitask Learning for Visual Question Answering. - Jie Ma 001; Jun Liu 002; Qika Lin; Bei Wu; Yaxian Wang; Yang You 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Contrastive Graph Representations for Logical Formulas Embedding. - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (IEEE Trans. Knowl. Data Eng., 2023)

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. - Lingling Zhang 005; Shaowei Wang; Jun Liu 002; Xiaojun Chang; Qika Lin; Yaqiang Wu; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2023)

Dynamic dual graph networks for textbook question answering. - Yaxian Wang; Jun Liu 002; Jie Ma 001; Hongwei Zeng; Lingling Zhang 005; Junjun Li (Pattern Recognit., 2023)

Spatial-Semantic Collaborative Graph Network for Textbook Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Qika Lin; Lingling Zhang 005; Yaqiang Wu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation. - Yanxiang Ling; Fei Cai; Jun Liu 002; Honghui Chen; Maarten de Rijke (IEEE Trans. Neural Networks Learn. Syst., 2023)

MoCA: Incorporating domain pretraining and cross attention for textbook question answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan; Yi Huang; Qianying Wang (Pattern Recognit., 2023)

Improved prototypical network for active few-shot learning. - Yaqiang Wu; Yifei Li 006; Tianzhe Zhao; Lingling Zhang 005; Bifan Wei; Jun Liu 002; Qinghua Zheng (Pattern Recognit. Lett., 2023)

SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. - Changyu Wang; Pinghui Wang; Tao Qin 002; Chenxu Wang 001; Suhansanu Kumar; Xiaohong Guan; Jun Liu 002; Kevin Chen-Chuan Chang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Incorporating logic rules with textual representations for interpretable knowledge graph reasoning. - Yudai Pan; Jun Liu 002; Lingling Zhang 005; Yi Huang (Knowl. Based Syst., 2023)

A deep cross-modal neural cognitive diagnosis framework for modeling student performance. - Lingyun Song; Mengting He; Xuequn Shang 001; Chen Yang; Jun Liu 002; Mengzhen Yu; Yu Lu 003 (Expert Syst. Appl., 2023)

RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation. - Lingling Zhang 005; Xinyu Zhang 021; Qianying Wang; Wenjun Wu; Xiaojun Chang; Jun Liu 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models. - Jiaxin Wang 002; Lingling Zhang 005; Wee Sun Lee; Yujie Zhong; Liwei Kang; Jun Liu 002 (ACL (1), 2024)

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. - Fangzhi Xu; Qika Lin; Tianzhe Zhao; Jiawei Han 010; Jun Liu 002 (ACL (1), 2024)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. - Fangzhi Xu; Zhiyong Wu 003; Qiushi Sun; Siyu Ren; Fei Yuan 006; Shuai Yuan 018; Qika Lin; Yu Qiao 001; Jun Liu 002 (ACL (1), 2024)

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. - Jian Zhang 087; Changlin Yang; Haiping Zhu; Qika Lin; Fangzhi Xu; Jun Liu 002 (LREC/COLING, 2024)

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering. - Shaowei Wang; Lingling Zhang 005; Longji Zhu; Tao Qin 002; Kim-Hui Yap; Xinyu Zhang 021; Jun Liu 002 (CVPR, 2024)

E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator. - Wenjun Wu; Lingling Zhang 005; Jun Liu 002; Xi Tang; Yaxian Wang; Shaowei Wang; Qianying Wang (CVPR, 2024)

QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation. - Weiping Fu; Bifan Wei; Jianxiang Hu; Zhongmin Cai; Jun Liu 002 (EMNLP, 2024)

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (ICDE, 2024)

Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. - Bingqian Du; Jun Liu 002; Ziyue Luo; Chuan Wu 001; Qiankun Zhang; Hai Jin 001 (INFOCOM, 2024)

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. - Jie Ma 001; Min Hu; Pinghui Wang; Wangchun Sun; Lingyun Song; Hongbin Pei; Jun Liu 002; Youtian Du (NeurIPS, 2024)

Untargeted Adversarial Attack on Knowledge Graph Embeddings. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Qika Lin; Yuxia Geng; Jun Liu 002 (SIGIR, 2024)

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Yun Lin 001; Jin Song Dong 001 (WWW, 2024)

Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Tianlin Guo; Wenjun Wu (CoRR, 2024)

QGEval: A Benchmark for Question Generation Evaluation. - Weiping Fu; Bifan Wei; Jianxiang Hu; Zhongmin Cai; Jun Liu 002 (CoRR, 2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. - Muye Huang; Lai Han; Xinyu Zhang 021; Wenjun Wu; Jie Ma 001; Lingling Zhang 005; Jun Liu 002 (CoRR, 2024)

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning. - Muye Huang; Lingling Zhang 005; Lai Han; Wenjun Wu; Xinyu Zhang 021; Jun Liu 002 (CoRR, 2024)

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering. - Lingling Zhang 005; Muye Huang; QianYing Wang; Yaxian Wang; Wenjun Wu; Jun Liu 002 (CoRR, 2024)

Few-shot Open Relation Extraction with Gaussian Prototype and Adaptive Margin. - Tianlin Guo; Lingling Zhang 005; Jiaxin Wang 002; Yuokuo Lei; Yifei Li 006; Haofen Wang; Jun Liu 002 (CoRR, 2024)

DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams. - Xinyu Zhang 021; Lingling Zhang 005; Yanrui Wu; Muye Huang; Wenjun Wu; Bo Li; Shaowei Wang; Jun Liu 002 (CoRR, 2024)

A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future. - Shilin Sun; Wenbin An; Feng Tian 002; Fang Nan; Qidong Liu 002; Jun Liu 002; Nazaraf Shah; Ping Chen 001 (CoRR, 2024)

Multi-view cognition with path search for one-shot part labeling. - Shaowei Wang; Lingling Zhang 005; Tao Qin 002; Jun Liu 002; Yifei Li 006; Qianying Wang; Qinghua Zheng (Comput. Vis. Image Underst., 2024)

Interest-driven community detection on attributed heterogeneous information networks. - Mengyue Liu; Jun Liu 002; Yixiang Dong; Rui Mao 010; Erik Cambria (Inf. Fusion, 2024)

Knowledge graph representation learning with relation-guided aggregation and interaction. - Bin Shang; Yinliang Zhao; Jun Liu 002 (Inf. Process. Manag., 2024)

Multiple GRAphs-oriented Random wAlk (MulGRA2) for social link prediction. - Tianliang Qi; Yujie Li; Weihua Ji; Kuo-Ming Chao; Yan Chen 031; Haiping Zhu; Caixia Yan; Jun Liu 002; Mo Xu; Zhihai Suo; Qinghua Zheng; Feng Tian 002 (Inf. Sci., 2024)

Learning path recommendation with multi-behavior user modeling and cascading deep Q networks. - Dailusi Ma; Haiping Zhu; Siji Liao; Yan Chen 031; Jun Liu 002; Feng Tian 002; Ping Chen 001 (Knowl. Based Syst., 2024)

Learnable convolutional attention network for knowledge graph completion. - Bin Shang; Yinliang Zhao; Jun Liu 002 (Knowl. Based Syst., 2024)

RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation. - Hongwei Zeng; Bifan Wei; Jun Liu 002 (Knowl. Based Syst., 2024)

Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems. - Bo Li; Lingling Zhang 005; Jun Liu 002; Hong Peng; Qianying Wang; Jiaqi Liu (Neural Networks, 2024)

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. - Lingyun Song; Xuequn Shang 001; Ruizhi Zhou; Jun Liu 002; Jie Ma 001; Zhanhuai Li; Mingxuan Sun (Neural Networks, 2024)

Alignment Relation is What You Need for Diagram Parsing. - Xinyu Zhang 021; Lingling Zhang 005; Xin Hu; Jun Liu 002; Shaowei Wang; Qianying Wang (IEEE Trans. Image Process., 2024)

Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations. - Yudai Pan; Jun Liu 002; Tianzhe Zhao; Lingling Zhang 005; Qianying Wang (IEEE Trans. Knowl. Data Eng., 2024)

Multistructure Contrastive Learning for Pretraining Event Representation. - Jianming Zheng; Fei Cai; Jun Liu 002; Yanxiang Ling; Honghui Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Diagram Perception Networks for Textbook Question Answering via Joint Optimization. - Jie Ma 001; Jun Liu 002; Qi Chai; Pinghui Wang; Jing Tao (Int. J. Comput. Vis., 2024)

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. - Jiaxin Wang 002; Lingling Zhang 005; Jun Liu 002; Kunming Ma; Wenjun Wu; Xiang Zhao 002; Yaqiang Wu; Yi Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Visual Question Answering: Datasets, Methods, and Future Challenges. - Jie Ma 001; Pinghui Wang; Dechen Kong; Zewei Wang; Jun Liu 002; Hongbin Pei; Junzhou Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

XTQA: Span-Level Explanations for Textbook Question Answering. - Jie Ma 001; Qi Chai; Jun Liu 002; Qingyu Yin; Pinghui Wang; Qinghua Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction. - Lingling Zhang 005; Yifei Li 006; Qianying Wang; Yun Wang; Hang Yan 010; Jiaxin Wang 002; Jun Liu 002 (IEEE Trans. Knowl. Data Eng., 2024)

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. - Fangzhi Xu; Jun Liu 002; Qika Lin; Tianzhe Zhao; Jian Zhang 087; Lingling Zhang 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. - Muye Huang; Han Lai; Xinyu Zhang 021; Wenjun Wu; Jie Ma 001; Lingling Zhang 005; Jun Liu 002 (AAAI, 2025)

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Wangchun Sun; Pinghui Wang; Hongbin Pei; Jing Tao; Lingyun Song; Jun Liu 002; Chen Zhang; Lizhen Cui (AAAI, 2025)

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Jun Liu 002; Qika Lin; Zhiyong Wu 003 (ACL (1), 2025)

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Qiushi Sun; Kanzhi Cheng; Junxian He; Jun Liu 002; Zhiyong Wu 003 (ACL (1), 2025)

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. - Fangzhi Xu; Qiushi Sun; Kanzhi Cheng; Jun Liu 002; Yu Qiao 001; Zhiyong Wu 003 (ACL (1), 2025)

GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering. - Yaxian Wang; Bifan Wei; Jun Liu 002; Lingling Zhang 005; Shuting He; Jun Li; Qika Lin (SIGIR, 2025)

Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Qika Lin; Yuxia Geng; Haiping Zhu; Yudai Pan; Jun Liu 002 (SIGIR, 2025)

Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision. - Yudai Pan; Jiajie Hong; Tianzhe Zhao; Lingyun Song; Jun Liu 002; Xuequn Shang 001 (WWW, 2025)

Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs. - Wenjun Wu; Lingling Zhang 005; Jun Liu 002; Ming Ren; Xin Hu; Jiaxin Wang 002; Qianying Wang (Pattern Recognit., 2025)

Alignment-Guided Self-Supervised Learning for Diagram Question Answering. - Shaowei Wang; Lingling Zhang 005; Wenjun Wu; Tao Qin 002; Xinyu Zhang 021; Jun Liu 002 (IEEE Trans. Multim., 2025)

Guest Editorial: Special issue on "Neuro-Symbolic Intelligence: large Language Model enabled Knowledge Engineering". - Haofen Wang; Arijit Khan 001; Jun Liu 002; Michael Witbrock (World Wide Web (WWW), 2025)

GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction. - Jian Zhang 087; Bifan Wei; Shihao Qi; Haiping Zhu; Jun Liu 002; Qika Lin (CoRR, 2025)

MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization. - Jian Zhang 087; Zhangqi Wang; Haiping Zhu; Jun Liu 002; Qika Lin; Erik Cambria (CoRR, 2025)

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. - Jian Zhang 087; Zhiyuan Wang; Zhangqi Wang; Xinyu Zhang 021; Fangzhi Xu; Qika Lin; Rui Mao 010; Erik Cambria; Jun Liu 002 (CoRR, 2025)

FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Jun Liu 002; Pinghui Wang; Jing Tao; Zhou Su (CoRR, 2025)

TDGI: Translation-Guided Double-Graph Inference for Document-Level Relation Extraction. - Lingling Zhang 005; Yujie Zhong; Qinghua Zheng; Jun Liu 002; Qianying Wang; Jiaxin Wang 002; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization. - Jun Liu 002; Bingqian Du; Ziyue Luo; Sitian Lu; Qiankun Zhang; Hai Jin 001 (Proc. VLDB Endow., 2025)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. - Fangzhi Xu; Qika Lin; Jiawei Han 010; Tianzhe Zhao; Jun Liu 002; Erik Cambria (IEEE Trans. Knowl. Data Eng., 2025)

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. - Jie Ma 001; Ning Qu; Zhitao Gao 003; Rui Xing; Jun Liu 002; Hongbin Pei; Jiang Xie 002; Linyun Song; Pinghui Wang; Jing Tao; Zhou Su (CoRR, 2025)

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. - Muye Huang; Lingling Zhang 005; Jie Ma 001; Han Lai; Fangzhi Xu; Yifei Li 006; Wenjun Wu; Yaqiang Wu; Jun Liu 002 (CoRR, 2025)

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. - Qika Lin; Fangzhi Xu; Hao Lu 002; Kai He 001; Rui Mao 010; Jun Liu 002; Erik Cambria; Mengling Feng (CoRR, 2025)

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation. - Tianzhe Zhao; Jiaoyan Chen 001; Yanchi Ru; Haiping Zhu; Nan Hu; Jun Liu 002; Qika Lin (CoRR, 2025)

MUR: Momentum Uncertainty guided Reasoning for Large Language Models. - Hang Yan 010; Fangzhi Xu; Rongman Xu; Yifei Li 006; Jian Zhang 087; Haoran Luo 001; Xiaobao Wu; Luu Anh Tuan; Haiteng Zhao; Qika Lin; Jun Liu 002 (CoRR, 2025)

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding. - Yifei Li 006; Lingling Zhang 005; Hang Yan 010; Tianzhe Zhao; Zihan Ma; Muye Huang; Jun Liu 002 (CoRR, 2025)