Modeling heterogeneous data in dataspace. - Ming Zhong 002; Mengchi Liu; Qian Chen (IRI, 2008)

3se: a semi-structured search engine for heterogeneous data in graph model. - Ming Zhong 002; Mengchi Liu (CIKM, 2009)

A Flexible Data Warehousing Approach for One-Stop Querying on Heterogeneous Personal Information. - Ming Zhong 002; Mengchi Liu (DEXA Workshops, 2009)

Efficient keyword proximity search using a frontier-reduce strategy based on d-distance graph index. - Ming Zhong 002; Mengchi Liu (IDEAS, 2009)

Revising word lattice using support vector machine for Chinese word segmentation. - Ming Zhong 002; Sheng Wang; Ming Wu (iiWAS, 2012)

A distributed index for efficient parallel top-k keyword search on massive graphs. - Ming Zhong 002; Mengchi Liu (WIDM, 2012)

Detecting Professional Spam Reviewers. - Junlong Huang; Tieyun Qian; Guoliang He; Ming Zhong 002; Qingxi Peng (ADMA (2), 2013)

MVP Index: Towards Efficient Known-Item Search on Large Graphs. - Ming Zhong 002; Mengchi Liu; Zhifeng Bao; Xuhui Li 001; Tieyun Qian (DASFAA (1), 2013)

Presenting XML Schema Mapping with Conjunctive-Disjunctive Views. - Xuhui Li 001; Shanfeng Zhu; Mengchi Liu; Ming Zhong 002 (WAIM, 2013)

3SEPIAS: A Semi-Structured Search Engine for Personal Information in dAtaspace System. - Ming Zhong 002; Mengchi Liu; Yanxiang He (Inf. Sci., 2013)

Co-training on authorship attribution with very fewlabeled examples: methods vs. views. - Tieyun Qian; Bing Liu 001; Ming Zhong 002; Guoliang He (SIGIR, 2014)

Authorship Attribution with Very Few Labeled Data: A Co-training Approach. - Mengdi Fan; Tieyun Qian; Li Chen 031; Bin Liu; Ming Zhong 002; Guoliang He (WAIM, 2014)

Detecting Spam Review through Sentiment Analysis. - Qingxi Peng; Ming Zhong 002 (J. Softw., 2014)

Age Detection for Chinese Users in Weibo. - Li Chen 031; Tieyun Qian; Fei Wang; Zhenni You; Qingxi Peng; Ming Zhong 002 (WAIM, 2015)

LDM: A DTD Schema Mapping Language Based on Logic Patterns. - Xuhui Li 001; Yijun Guan; Mengchi Liu; Rui Cai; Ming Zhong 002; Tieyun Qian (WAIM, 2015)

Inferring Users' Gender from Interests: A Tag Embedding Approach. - Peisong Zhu; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (ICONIP (4), 2016)

Tri-Training for authorship attribution with limited training data: a comprehensive study. - Tieyun Qian; Bing Liu 001; Li Chen 031; Zhiyong Peng 001; Ming Zhong 002; Guoliang He; Xuhui Li 001; Gang Xu (Neurocomputing, 2016)

Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. - Ying Wang; Ming Zhong 002; Yuanyuan Zhu 001; Xuhui Li 001; Tieyun Qian (APWeb/WAIM (1), 2017)

Exploit Label Embeddings for Enhancing Network Classification. - Yiqi Chen; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (DEXA (2), 2017)

Coverage-Oriented Diversification of Keyword Search Results on Graphs. - Ming Zhong 002; Ying Wang; Yuanyuan Zhu 001 (DASFAA (2), 2018)

Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. - Ming Zhong 002; Qian Zeng; Yuanyuan Zhu 001; Jianxin Li 001; Tieyun Qian (DASFAA (1), 2018)

BASSI: Balance and Status Combined Signed Network Embedding. - Yiqi Chen; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (DASFAA (1), 2018)

Towards both Local and Global Query Result Diversification. - Ming Zhong 002; Huanyu Cheng; Ying Wang; Yuanyuan Zhu 001; Tieyun Qian; Jianxin Li 001 (DASFAA (2), 2019)

Keyword Search Based Mashup Construction with Guaranteed Diversity. - Huanyu Cheng; Ming Zhong 002; Jian Wang 018; Tieyun Qian (DEXA (2), 2019)

Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements. - Chaoqun Yang; Yuanyuan Zhu 001; Ming Zhong 002; Rongrong Li (ICDE Workshops, 2019)

Next-Generation Gravity Missions: Sino-European Numerical Simulation Comparison Exercise. - Roland Pail; Hsien-Chi Yeh; Wei Feng 006; Markus Hauk; Anna Purkhauser; Changqing Wang; Ming Zhong 002; Yunzhong Shen; Qiujie Chen; Zhicai Luo; Hao Zhou 007; Bingshi Liu; et al. (Remote. Sens., 2019)

GPPIAL: A New Global PPI Network Aligner Based on Orthologs. - Yaoran Chen; Yuanyuan Zhu 001; Ming Zhong 002; Rong Peng; Juan Liu 007 (BIBM, 2020)

Business Location Selection Based on Geo-Social Networks. - Qian Zeng; Ming Zhong 002; Yuanyuan Zhu 001; Jianxin Li 001 (DASFAA (3), 2020)

STIM: Scalable Time-Sensitive Influence Maximization in Large Social Networks. - Yuanyuan Zhu 001; Kailin Ding; Ming Zhong 002; Lijia Wei (DASFAA (3), 2020)

Diversified keyword search based web service composition. - Huanyu Cheng; Ming Zhong 002; Jian Wang 018 (J. Syst. Softw., 2020)

FANE: A Fusion-Based Attributed Network Embedding Framework. - Guanghua Li; Qiyan Li 002; Jingqiao Liu; Yuanyuan Zhu 001; Ming Zhong 002 (APWeb/WAIM (1), 2021)

COMNA: Core-attachment based protein complex detection via multiple network alignment. - Yaoran Chen; Yuanyuan Zhu 001; Ming Zhong 002; Juan Liu 007 (BIBM, 2021)

Efficient Sample Location Selection for Query Zone in Geo-Social Networks. - Kejian Tang; Shaohui Zhan; Tao Zhan; Hui Zhu; Qian Zeng; Ming Zhong 002; Xiaoyu Zhu; Yuanyuan Zhu 001; Jianxin Li 001; Tieyun Qian (Complex., 2021)

Context-aware seq2seq translation model for sequential recommendation. - Ke Sun 010; Tieyun Qian; Xu Chen; Ming Zhong 002 (Inf. Sci., 2021)

Business location planning based on a novel geo-social influence diffusion model. - Qian Zeng; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Jianxin Li 001 (Inf. Sci., 2021)

On Time-optimal (k, p)-core Community Search in Dynamic Graphs. - Zhao Lu; Yuanyuan Zhu 001; Ming Zhong 002; Jeffrey Xu Yu (ICDE, 2022)

Dynamic network embedding survey. - Guotong Xue; Ming Zhong 002; Jianxin Li 001; Jia Chen; Chengshuai Zhai; Ruochen Kong (Neurocomputing, 2022)

Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. - Jia Chen; Ming Zhong 002; Jianxin Li 001; Dianhui Wang 001; Tieyun Qian; Hang Tu (IEEE Trans. Cybern., 2022)

Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. - Ting Zhang; Zhuang Chen 002; Ming Zhong 002; Tieyun Qian (IJCAI, 2023)

Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). - Junyong Yang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (CoRR, 2023)

Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. - Ming Zhong 002; Junyong Yang; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (CoRR, 2023)

Scalable Time-Range k-Core Query on Temporal Graphs. - Junyong Yang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (Proc. VLDB Endow., 2023)

Reliable Keyword Query Interpretation on Summary Graphs. - Ming Zhong 002; Yingyi Zheng; Guotong Xue; Mengchi Liu (IEEE Trans. Knowl. Data Eng., 2023)

Towards more effective encoders in pre-training for sequential recommendation. - Ke Sun 010; Tieyun Qian; Ming Zhong 002; Xuhui Li 001 (World Wide Web (WWW), 2023)

Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction. - Wanli Li 002; Tieyun Qian; Ming Zhong 002; Xu Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pre-Training Across Different Cities for Next POI Recommendation. - Ke Sun 010; Tieyun Qian; Chenliang Li; Xuan Ma; Qing Li 001; Ming Zhong 002; Yuanyuan Zhu 001; Mengchi Liu (ACM Trans. Web, 2023)

DCOAT: Dynamic Core-attachment based Protein Complex Detection. - Yaoran Chen; Difu Feng; Yuanyuan Zhu 001; Guojing Li; Ming Zhong 002; Tieyun Qian; Juan Liu 007 (BIBM, 2024)

Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. - Chuhan Hu; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Ting Yu 004; Hongyang Chen; Mengchi Liu; Jeffrey Xu Yu (ICDE, 2024)

Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. - Xuan Ma; Zepeng Bao; Ming Zhong 002; Yuanyuan Zhu 001; Chenliang Li; Jiawei Jiang 001; Qing Li 001; Tieyun Qian (CoRR, 2024)

PSA-GNN: An augmented GNN framework with priori subgraph knowledge. - Guotong Xue; Ming Zhong 002; Tieyun Qian; Jianxin Li 001 (Neural Networks, 2024)

Evolution Forest Index: Towards Optimal Temporal $k$-Core Component Search via Time-Topology Isomorphic Computation. - Junyong Yang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (Proc. VLDB Endow., 2024)

A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k, mathcal {X})$(k,X)-Core Query. - Ming Zhong 002; Junyong Yang; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (IEEE Trans. Knowl. Data Eng., 2024)

Aligning VLM Assistants with Personalized Situated Cognition. - Yongqi Li 002; Shen Zhou; Xiaohu Li; Xin Miao; Jintao Wen; Mayi Xu; Jianhao Chen; Birong Pan; Hankun Kang; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (ACL (1), 2025)

Efficient Frequency-Aware k-Core Query on Temporal Graphs. - Zhongfan Du; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (ICDE, 2025)

TDT: Tensor Based Directed Truss Decomposition. - Guojing Li; Yuanyuan Zhu 001; Junchao Ma; Ming Zhong 002; Tieyun Qian; Jeffrey Xu Yu (ICDE, 2025)

On More Efficiently and Versatilely Querying Historical k-Cores. - Zhi Wang; Ming Zhong 002; Yuanyuan Zhu 001; Tieyun Qian; Mengchi Liu; Jeffrey Xu Yu (Proc. VLDB Endow., 2025)

Data4RACTC. - Xuan Ma; Zepeng Bao; Ming Zhong 002; Yuanyuan Zhu 001; Chenliang Li; Jiawei Jiang 001; Qing Li 001; Tieyun Qian (IEEE DataPort, 2025)

TGraph: A Tensor-centric Graph Processing Framework. - Yongliang Zhang; Yuanyuan Zhu 001; Hao Zhang 098; Congli Gao; Yuyang Wang; Guojing Li; Tianyang Xu; Ming Zhong 002; Jiawei Jiang 001; Tieyun Qian; Chenyi Zhang 002; Jeffrey Xu Yu (Proc. ACM Manag. Data, 2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. - Yunfeng Ning; Mayi Xu; Jintao Wen; Qiankun Pi; Yuanyuan Zhu 001; Ming Zhong 002; Jiawei Jiang 001; Tieyun Qian (CoRR, 2025)

A Survey on Training-free Alignment of Large Language Models. - Birong Pan; Yongqi Li 002; Weiyu Zhang 001; Wenpeng Lu; Mayi Xu; Shen Zhou; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (CoRR, 2025)

NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs. - Birong Pan; Mayi Xu; Qiankun Pi; Jianhao Chen; Yuanyuan Zhu 001; Ming Zhong 002; Tieyun Qian (CoRR, 2025)

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data. - Jiacheng Liu; Mayi Xu; Qiankun Pi; Wenli Li; Ming Zhong 002; Yuanyuan Zhu 001; Mengchi Liu; Tieyun Qian (CoRR, 2025)