publications

publications by categories in reversed chronological order.

2025

  1. Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
    Jiayu Yao, Shenghua Liu, Yiwei Wang, and 5 more authors
    In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Main, Nov 2025
    PDF
  2. A Survey of Vibe Coding with Large Language Models
    Yuyao Ge, Lingrui Mei, Zenghao Duan, and 12 more authors
    arXiv preprint arXiv:2510.12399, Oct 2025
    PDF
  3. RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
    Baolong Bi, Shenghua Liu, Xingzhang Ren, and 7 more authors
    arXiv preprint arXiv:2507.03253, Oct 2025
    PDF
  4. Context-DPO: Aligning Language Models for Context-Faithfulness
    Baolong Bi, Shaohan Huang, Yiwei Wang, and 11 more authors
    In Proc. of the Association for Computational Linguistics, ACL Findings, Jul 2025
    DOI PDF
  5. Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
    Baolong Bi, Shenghua Liu, Lingrui Mei, and 4 more authors
    In Proc. of the Association for Computational Linguistics, ACL Main, Jul 2025
    DOI PDF
  6. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
    Yuyao Ge, Shenghua Liu, Baolong Bi, and 5 more authors
    In Proc. of the Association for Computational Linguistics, ACL Main, Jul 2025
    DOI PDF
  7. A Survey of Context Engineering for Large Language Models
    Lingrui Mei, Jiayu Yao, Yuyao Ge, and 12 more authors
    arXiv preprint arXiv:2507.13334, Jul 2025
    PDF
  8. Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
    Baolong Bi, Shenghua Liu, Yiwei Wang, and 5 more authors
    In International Conference on Learning Representations, ICLR, Jul 2025
    PDF
  9. "Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models’ Jailbreak
    Lingrui Mei, Shenghua Liu, Yiwei Wang, and 3 more authors
    In Proc. of the International Conference on Computational Linguistics, Coling, Jul 2025
    PDF

2024

  1. SLANG: New Concept Comprehension of Large Language Models
    Lingrui Mei, Shenghua Liu, Yiwei Wang, and 2 more authors
    In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Main, Jul 2024
    PDF
  2. Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
    Baolong Bi, Shenghua Liu, Yiwei Wang, and 4 more authors
    In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Findings, Jul 2024
    PDF
  3. LPNL: Scalable Link Prediction with Large Language Models
    Baolong Bi, Shenghua Liu, Yiwei Wang, and 2 more authors
    In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Findings, Jul 2024
    PDF
  4. Interrelated Dense Pattern Detection in Multilayer Networks
    Wenjie Feng, Li Wang, Bryan Hooi, and 2 more authors
    IEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2024
    PDF
  5. Node Embedding Preserving Graph Summarization
    Houquan Zhou, Shenghua Liu, Huawei Shen, and 1 more author
    ACM Transactions on Knowledge Discovery from Data, TKDD, Nov 2024
    PDF
  6. Graph Summarization for Preserving Spectral Characteristics
    Houquan Zhou, Shenghua Liu, Huawei Shen, and 1 more author
    In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2024
    PDF
  7. Unified Dense Subgraph Detection: Fast Spectral Theory based Algorithms
    Wenjie Feng, Shenghua Liu, Danai Koutra, and 1 more author
    IEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2024
    Published March 2024 (pub date: 17 July 2023)
    PDF

2023

  1. A Provable Framework of Learning Graph Embeddings via Summarization
    Houquan Zhou, Shenghua Liu, Danai Koutra, and 2 more authors
    In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2023
    PDF
  2. Hierarchical Dense Pattern Detection in Tensor
    Wenjie Feng, Shenghua Liu, and Xueqi Cheng
    ACM Transactions on Knowledge Discovery from Data, TKDD, Nov 2023
    PDF
  3. W3Detector: Detecting fraudulent online sellers based on temporal and spacial information
    Shengbo Tong, Yuyang Xie, Shenghua Liu, and 2 more authors
    In Proc. of the International Conference on Machine Learning and Applications, ICMLA, Nov 2023
  4. Time Series Anomaly Detection with Adversarial Reconstruction Networks
    Shenghua Liu, Bin Zhou, Quan Ding, and 4 more authors
    IEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2023
    PDF Code

2022

  1. MonLAD: Money Laundering Agents Detection in Transaction Streams
    Xiaobing Sun, Wenjie Feng, Shenghua Liu, and 5 more authors
    In Proc. of the ACM International Conference on Web Search and Data Mining, WSDM, Nov 2022
    PDF Code

2021

  1. Combating emerging financial risks in the big data era: A perspective review
    Xueqi Cheng, Shenghua Liu, Xiaoqian Sun, and 4 more authors
    Fundamental Research, Nov 2021
  2. CubeFlow: Money Laundering Detection with Coupled Tensors
    Xiaobing Sun, Jiabao Zhang, Qiming Zhao, and 5 more authors
    In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2021
    PDF Code
  3. AugSplicing: Synchronized Behavior Detection in Streaming Tensors
    Jiabao Zhang, Shenghua Liu, Wenting Hou, and 4 more authors
    In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2021
    PDF
  4. DPGS: Degree-Preserving Graph Summarization
    Houquan Zhou, Shenghua Liu, Kyuhan Lee, and 3 more authors
    In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2021
    PDF Code
  5. EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection
    Wenjie Feng, Shenghua Liu, Christos Faloutsos, and 3 more authors
    Future Generation Computer Systems, Nov 2021
    PDF

2020

  1. Provably Robust Node Classification via Low-Pass Message Passing
    Yiwei Wang, Shenghua Liu, Minji Yoon, and 4 more authors
    In IEEE International Conference on Data Mining (ICDM), Nov 2020
    PDF Slides
  2. SpecGreedy: Unified Dense Subgraph Detection
    Wenjie Feng, Shenghua Liu, Danai Koutra, and 2 more authors
    In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD, Nov 2020
    Best student DM paper award. Acceptance rate: 19%. Verified on 40 real-world networks, and a 1.47-billion-edge graph
    PDF Code
  3. FlowScope: Spotting Money Laundering Based on Graphs
    Xiangfeng Li, Shenghua Liu, Zifeng Li, and 5 more authors
    In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2020
    PDF Code Slides

2019

  1. CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors
    Shenghua Liu, Huawei Shen, Houdong Zheng, and 2 more authors
    ACM Transactions on Knowledge Discovery from Data, TKDD, Nov 2019
    PDF
  2. CatchCore: Catching Hierarchical Dense Subtensor
    Wenjie Feng, Shenghua Liu, Huawei Shen, and 1 more author
    In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD, Nov 2019
    PDF Code
  3. BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
    Bin Zhou, Shenghua Liu, Bryan Hooi, and 2 more authors
    In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2019
    PDF Code
  4. SMF: Drift-Aware Matrix Factorization with Seasonal Patterns
    Bryan Hooi, Kijung Shin, Shenghua Liu, and 1 more author
    In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2019
    PDF
  5. Optimal Algorithm for Profiling Dynamic Arrays with Finite Values
    Dingcheng Yang, Wenjian Yu, Junhui Deng, and 1 more author
    In International Conference on Extending Database Technology (EDBT), Nov 2019
    PDF
  6. A Contrast Metric for Fraud Detection in Rich Graphs
    Shenghua Liu, Bryan Hooi, and Christos Faloutsos
    IEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2019
    PDF
  7. Beyond outliers and on to micro-clusters: Vision-guided anomaly detection
    Wenjie Feng, Shenghua Liu, Christos Faloutsos, and 3 more authors
    In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2019
    PDF Code
  8. EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation
    Jiabao Zhang, Shenghua Liu, Wenjian Yu, and 2 more authors
    In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2019
    PDF Slides

2018

  1. NeuCast: Seasonal Neural Forecast of Power Grid Time Series
    Pudi Chen, Shenghua Liu, Chuan Shi, and 3 more authors
    In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2018
    PDF Code
  2. EagleMine: Vision-Guided Mining in Large Graphs
    Wenjie Feng, Shenghua Liu, Christos Faloutsos, and 3 more authors
    In ACM SIGKDD ODD Workshop, Nov 2018
    PDF Code
  3. MFPR: A Personalized Ranking Recommendation with Multiple Feedback
    Chuan Shi, Jian Liu, Yiding Zhang, and 3 more authors
    ACM Transactions on Social Computing, Nov 2018
    PDF

2017

  1. HoloScope: Topology-and-Spike Aware Fraud Detection
    Shenghua Liu, Bryan Hooi, and Christos Faloutsos
    In Proc. of the ACM International Conference on Information and Knowledge Management, CIKM, Nov 2017
    PDF Code Slides
  2. BEATLEX: Summarizing and Forecasting Time Series with Patterns
    Bryan Hooi, Shenghua Liu, Asim Smailagic, and 1 more author
    In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD, Nov 2017
    PDF
  3. EyeQual: Accurate, Explainable, Retinal Image Quality Assessment
    Pedro Costa, Aurelio Campilho, Bryan Hooi, and 5 more authors
    In Proc. of the International Conference on Machine Learning and Applications, ICMLA, Nov 2017
    PDF
  4. Fraud Detection using Graph Topology and Temporal Spikes
    Shenghua Liu, Bryan Hooi, and Christos Faloutsos
    In ACM SIGKDD MLG Workshop, Nov 2017
    PDF
  5. Learning Concise Representations of Users’ Influences through Online Behaviors
    Shenghua Liu, Houdong Zheng, Xiangwen Liao, and 2 more authors
    In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2017
    PDF
  6. Cascade dynamics modeling with attention-based recurrent neural network
    Yongqing Wang, Huawei Shen, Shenghua Liu, and 2 more authors
    In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2017
    PDF
  7. Single-pass PCA of large high-dimensional data
    Wenjian Yu, Yu Gu, Jian Li, and 2 more authors
    In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2017
    PDF Code
  8. Marked Temporal Dynamics Modeling based on Recurrent Neural Network
    Yongqing Wang, Shenghua Liu, Huawei Shen, and 2 more authors
    In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2017
    PDF
  9. Personalized Ranking Recommendation via Integrating Multiple Feedbacks
    Jian Liu, Chuan Shi, Binbin Hu, and 2 more authors
    In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2017
    PDF

2016

  2. Social Media Sentiment Analysis: opinions, users, and behaviors
    Shenghua Liu and Xueqi Cheng
    Communication of Chinese Association for Artificial Intelligence (CAAI), Nov 2016
  3. Modeling and predicting retweeting dynamics via a mixture process
    Jinhua Gao, Huawei Shen, Shenghua Liu, and 1 more author
    In Proc. of the International World Wide Web Conference, WWW Companion, Nov 2016
    PDF

2015

  1. TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets
    Shenghua Liu, Xueqi Cheng, Fuxin Li, and 1 more author
    IEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2015
    PDF
  2. Learning user-specific latent influence and susceptibility from information cascades
    Yongqing Wang, Huawei Shen, Shenghua Liu, and 1 more author
    In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2015
    PDF

2014

  1. Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure
    Shenghua Liu, Xueqi Cheng, and Fangtao Li
    In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2014
    PDF
  2. SUIT: A Supervised User-Item based Topic model for Sentiment Analysis
    Fangtao Li, Sheng Wang, Shenghua Liu, and 1 more author
    In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2014
    PDF
  3. Ranking Tweets with Local and Global Consistency Using Rich Features
    Zhankun Huang, Shenghua Liu, Xueqi Cheng, and 1 more author
    In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2014
    PDF
  4. Semantic Concept Linking and Extension for Social Media Short Texts
    Yonglei Xiao, Shenghua Liu, Yue Liu, and 4 more authors
    Journal of Chinese Information Processing, Nov 2014

2013

  1. Adaptive Co-Training SVM for Sentiment Classification on Tweets
    Shenghua Liu, Fuxin Li, Fangtao Li, and 2 more authors
    In Proc. of the ACM International Conference on Information and Knowledge Management, CIKM, Nov 2013
    PDF
  2. Co-training and Visualizing Sentiment Evolvement for Tweet Events
    Shenghua Liu, Wenjun Zhu, Ning Xu, and 4 more authors
    In Proc. of the International World Wide Web Conference, WWW Companion, Nov 2013
    PDF
  3. Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix
    Xiaohui Yan, Jiafeng Guo, Shenghua Liu, and 1 more author
    In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2013
    PDF
  4. A Blending Method for Automated Social Tagging
    Shenghua Liu, Yatao Zhu, Jiafeng Guo, and 3 more authors
    In Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Nov 2013
    PDF

2012

  1. Clustering short text using Ncut-weighted non-negative matrix factorization
    Xiaohui Yan, Jiafeng Guo, Shenghua Liu, and 2 more authors
    In Proc. of the ACM International Conference on Information and Knowledge Management, CIKM Short, Nov 2012
    PDF
  2. Using WordNet-Based Neighborhood for Improving Social Tag Recommendation
    Ya-Tao Zhu, Shenghua Liu, Xueqi Cheng, and 3 more authors
    In Intelligent Computing Theories and Applications, Nov 2012
  3. Finding Topic-Related Tweets Using Conversational Thread
    Peng Cao, Shenghua Liu, Jinhua Gao, and 4 more authors
    In Intelligent Information Processing VI, Nov 2012
  4. ICTNET at Microblog Track TREC 2012
    Bolong Zhu, Jinghua Gao, Xiao Han, and 4 more authors
    In The Twenty-First Text REtrieval Conference (TREC 2012) Proceedings, Nov 2012
  5. An Entropy-Based Rule Mining algorithm for Filtering Tweets on Topics
    Yi Mo, Shenghua Liu, Yue Liu, and 1 more author
    Journal of Chinese Information Processing, Nov 2012
  6. Adding Semantic Concepts to Tweets Based on Wikipedia
    Yonglei Xiao, Shenghua Liu, Yue Liu, and 4 more authors
    In China Conference on Information Retrieval (CCIR), Nov 2012

2011

  1. ICTNET at Microblog Track TREC 2011
    Peng Cao, Jinhua Gao, Yubao Yu, and 3 more authors
    In The Twentieth Text REtrieval Conference (TREC 2011) Proceedings, Nov 2011
  2. Push Tweets on Topics: A Rule-Entropy-Based Classifier
    Yi Mo, Shenghua Liu, Yue Liu, and 1 more author
    In China Conference on Information Retrieval (CCIR), Nov 2011

2010

  1. Effective Congestion Reduction for IC Package Substrate Routing
    Shenghua Liu, Guoqiang Chen, Tom Tong Jing, and 3 more authors
    IEEE Transactions on Design Automation of Electronic Systems, TODAES, Nov 2010
    PDF
  2. Simultaneous Slack Budgeting and Retiming for Synchronous Circuits Optimization
    Shenghua Liu, Yuchun Ma, Xian-Long Hong, and 1 more author
    In Proc. of the Asia and South Pacific Design Automation Conference, ASP-DAC, Nov 2010
    Best paper candidate
    PDF

2009

  1. Substrate Topological Routing for High Density Packages
    Shenghua Liu, Guoqiang Chen, Tom Tong Jing, and 4 more authors
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, TCAD, Nov 2009
    PDF
  2. Diffusion-Driven Congestion Reduction for Substrate Topological Routing
    Shenghua Liu, Guoqiang Chen, Tom Tong Jing, and 3 more authors
    In International Symposium on Physical Design (ISPD SIGDA), Nov 2009
    PDF
  3. Congestion-driven floorplanning based on two-stage optimization
    Fubing Mao, Yuchun Ma, Ning Xu, and 3 more authors
    In IEEE 8th International Conference on ASIC (ASICON), Nov 2009

2008

  1. Topological Routing to Maximize Routability for Package Substrate
    Shenghua Liu, Guoqiang Chen, Tom Tong Jing, and 4 more authors
    In Proc. of the Design Automation Conference, DAC, Nov 2008
    PDF

2006

  1. FREe: A Fast Routability Estimator
    Shenghua Liu, Xianlong Hong, Tong Jing, and 1 more author
    In IEEE International Conference on Communications, Circuits and Systems (ICCCAS), Nov 2006
    PDF