Shenghua Liu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 63

Top Topics

Transitive Closure

Money Laundering

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Chen
Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. CoRR (2024)
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR (2024)
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR (2024)
Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
Graph Summarization for Preserving Spectral Characteristics. SDM (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR (2024)
Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Chen
SLANG: New Concept Comprehension of Large Language Models. CoRR (2024)
Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) (2024)
Yuyao Ge, Shenghua Liu, Lingrui Mei, Lizhe Chen, Xueqi Cheng
Sequential Ordering in Textual Descriptions: Impact on Spatial Perception Abilities of Large Language Models. CoRR (2024)
Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Hengjie Zhang, Shenghua Liu, Yucheng Dong, Francisco Chiclana, Enrique Herrera-Viedma
A Minimum Cost Consensus-Based Failure Mode and Effect Analysis Framework Considering Experts' Limited Compromise and Tolerance Behaviors. IEEE Trans. Cybern. 53 (10) (2023)
Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng
Fast Searching The Densest Subgraph And Decomposition With Local Optimality. CoRR (2023)
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI (2023)
Wenjie Feng, Shenghua Liu, Xueqi Cheng
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai
W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information. ICMLA (2023)
Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. CoRR (2022)
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR (2022)
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM (2022)
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
Learning node embeddings via summary graphs: a brief theoretical analysis. CoRR (2022)
Lei Lin, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng
On the Cybernetics of Crowdsourcing Innovation: A Process Model. IEEE Access 10 (2022)
Caizheng Liu, Guangfan Cui, Shenghua Liu
CGCNImp: a causal graph convolutional network for multivariate time series imputation. PeerJ Comput. Sci. 8 (2022)
Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
CubeFlow: Money Laundering Detection with Coupled Tensors. PAKDD (1) (2021)
Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
CubeFlow: Money Laundering Detection with Coupled Tensors. CoRR (2021)
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI (2021)
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115 (2021)
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
DPGS: Degree-Preserving Graph Summarization. SDM (2021)
Yan Zhu, Chuanhao Fan, Jing Xiao, Shenghua Liu
Integrating a prospect theory-based consensus-reaching process into large-scale quality function deployment and its application in the evaluation of contingency plan. J. Intell. Fuzzy Syst. 41 (1) (2021)
Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
FlowScope: Spotting Money Laundering Based on Graphs. AAAI (2020)
Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. CoRR (2020)
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
Provably Robust Node Classification via Low-Pass Message Passing. ICDM (2020)
Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) (2020)
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR (2020)
Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. ICTAI (2020)
Long Chen, Chris Doerr, Shenghua Liu, Li Chen, Michelle Xu
Silicon-Based Integrated Broadband Wavelength-Meter with Low Temperature Sensitivity. OFC (2020)
Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
Summarizing graphs using the configuration model. CoRR (2020)
Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI (2019)
Shenghua Liu, Bryan Hooi, Christos Faloutsos
A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu
Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. EDBT (2019)
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) (2019)
Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. PAKDD (2) (2019)
Wenjie Feng, Shenghua Liu, Xueqi Cheng
CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) (2019)
Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM (2019)
Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data 13 (6) (2019)
Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI (2018)
Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu
MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Trans. Soc. Comput. 1 (2) (2018)
Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu
Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. CoRR (2018)
Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA (2017)
Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu
Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) (2017)
Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao
Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI (2017)
Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
Single-Pass PCA of Large High-Dimensional Data. CoRR (2017)
Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
Single-Pass PCA of Large High-Dimensional Data. IJCAI (2017)
Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI (2017)
Shenghua Liu, Bryan Hooi, Christos Faloutsos
HoloScope: Topology-and-Spike Aware Fraud Detection. CoRR (2017)
Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng
Marked Temporal Dynamics Modeling based on Recurrent Neural Network. CoRR (2017)
Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) (2017)
Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
EagleMine: Vision-Guided Mining in Large Graphs. CoRR (2017)
Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos
BeatLex: Summarizing and Forecasting Time Series with Patterns. ECML/PKDD (2) (2017)
Shenghua Liu, Bryan Hooi, Christos Faloutsos
HoloScope: Topology-and-Spike Aware Fraud Detection. CIKM (2017)
Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng
Predict Anchor Links across Social Networks via an Embedding Approach. IJCAI (2016)
Shenghua Liu, Houdong Zheng, Huawei Shen, Xiangwen Liao, Xueqi Cheng
Learning Sentimental Influences from Users' Behaviors. CoRR (2016)
Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng
Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) (2016)
Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng
Learning User-Specific Latent Influence and Susceptibility from Information Cascades. AAAI (2015)
Zhankun Huang, Shenghua Liu, Pan Du, Xueqi Cheng
Ranking Tweets with Local and Global Consistency Using Rich Features. PAKDD (1) (2014)
Shenghua Liu, Xueqi Cheng, Fangtao Li
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure. AAAI (2014)
Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. AAAI (2014)
Jinhua Gao, Guoxin Cui, Shenghua Liu, Yue Liu, Xueqi Cheng
ICTNET at Microblog Track in TREC 2013. TREC (2013)
Shenghua Liu, Ya-Tao Zhu, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
A Blending Method for Automated Social Tagging. Web Intelligence (2013)
Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen
Adaptive co-training SVM for sentiment classification on tweets. CIKM (2013)
Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan
Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. SDM (2013)
Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu, Yuanzhuo Wang
Co-training and visualizing sentiment evolvement for tweet events. WWW (Companion Volume) (2013)
Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang
Clustering short text using Ncut-weighted non-negative matrix factorization. CIKM (2012)
Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng
Finding Topic-Related Tweets Using Conversational Thread. Intelligent Information Processing (2012)
Bolong Zhu, Jinghua Gao, Xiao Han, Cunhui Shi, Shenghua Liu, Yue Liu, Xueqi Cheng
ICTNET at Microblog Track TREC 2012. TREC (2012)
Ya-Tao Zhu, Shenghua Liu, Xueqi Cheng, Yue Liu, Yuanzhuo Wang, Jin-Gang Liu
Using WordNet-Based Neighborhood for Improving Social Tag Recommendation. ICIC (2) (2012)
Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng
ICTNET at Microblog Track TREC 2011. TREC (2011)
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xianlong Hong
Effective congestion reduction for IC package substrate routing. ACM Trans. Design Autom. Electr. Syst. 15 (3) (2010)
Shenghua Liu, Yuchun Ma, Xianlong Hong, Yu Wang
Simultaneous slack budgeting and retiming for synchronous circuits optimization. ASP-DAC (2010)
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xianlong Hong
Substrate Topological Routing for High-Density Packages. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28 (2) (2009)
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xianlong Hong
Diffusion-driven congestion reduction for substrate topological routing. ISPD (2009)
Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xianlong Hong
Topological routing to maximize routability for package substrate. DAC (2008)
Shenghua Liu, Peep Küngas, Mihhail Matskin
Agent-Based Web Service Composition with JADE and JXTA. SWWS (2006)