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Shenghua Liu
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2020 – today
- 2025
- [j17]Hengjie Zhang, Shenghua Liu, Cong-Cong Li, Yucheng Dong, Francisco Chiclana, Enrique Herrera-Viedma:
Addressing the influence of limited tolerance and compromise behaviors on the social trust network consensus-reaching process. Inf. Sci. 686: 121292 (2025) - 2024
- [j16]Houquan Zhou
, Shenghua Liu
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18(6): 145:1-145:19 (2024) - [j15]Wenjie Feng
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36(3): 1356-1370 (2024) - [j14]Wenjie Feng
Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6462-6476 (2024) - [c50]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) 2024: 3615-3625 - [c49]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) 2024: 11071-11083 - [c48]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng:
SLANG: New Concept Comprehension of Large Language Models. EMNLP 2024: 12558-12575 - [c47]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Graph Summarization for Preserving Spectral Characteristics. SDM 2024: 271-279 - [i23]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Chen:
SLANG: New Concept Comprehension of Large Language Models. CoRR abs/2401.12585 (2024) - [i22]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Chen:
Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. CoRR abs/2401.13227 (2024) - [i21]Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng:
Graph Descriptive Order Improves Reasoning with Large Language Model. CoRR abs/2402.07140 (2024) - [i20]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR abs/2404.00216 (2024) - [i19]Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR abs/2405.11613 (2024) - [i18]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 abs/2406.11668 (2024) - [i17]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR abs/2406.12468 (2024) - [i16]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024) - [i15]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng:
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. CoRR abs/2410.02684 (2024) - 2023
- [j13]Hengjie Zhang
A Minimum Cost Consensus-Based Failure Mode and Effect Analysis Framework Considering Experts' Limited Compromise and Tolerance Behaviors. IEEE Trans. Cybern. 53(10): 6612-6625 (2023) - [j12]Wenjie Feng
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17(6): 81:1-81:29 (2023) - [j11]Shenghua Liu
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4293-4306 (2023) - [c46]Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI 2023: 4946-4953 - [c45]Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai:
W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information. ICMLA 2023: 1845-1851 - [i14]Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng:
Fast Searching The Densest Subgraph And Decomposition With Local Optimality. CoRR abs/2307.15969 (2023) - 2022
- [j10]Lei Lin
On the Cybernetics of Crowdsourcing Innovation: A Process Model. IEEE Access 10: 27255-27269 (2022) - [j9]Caizheng Liu, Guangfan Cui, Shenghua Liu:
CGCNImp: a causal graph convolutional network for multivariate time series imputation. PeerJ Comput. Sci. 8: e966 (2022) - [c44]Xiaobing Sun, Wenjie Feng
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM 2022: 976-986 - [i13]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 abs/2201.10051 (2022) - [i12]Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng:
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. CoRR abs/2204.08159 (2022) - [i11]Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
Learning node embeddings via summary graphs: a brief theoretical analysis. CoRR abs/2207.01189 (2022) - 2021
- [j8]Wenjie Feng
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [j7]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): 575-594 (2021) - [c43]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI 2021: 4653-4661 - [c42]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: 78-90 - [c41]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
DPGS: Degree-Preserving Graph Summarization. SDM 2021: 280-288 - [i10]Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. CoRR abs/2103.12411 (2021) - 2020
- [c40]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: 4731-4738 - [c39]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: 621-630 - [c38]Xiangyun Ding
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. ICTAI 2020: 955-960 - [c37]Long Chen, Chris Doerr, Shenghua Liu, Li Chen, Michelle Xu:
Silicon-Based Integrated Broadband Wavelength-Meter with Low Temperature Sensitivity. OFC 2020: 1-3 - [c36]Wenjie Feng
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) 2020: 181-197 - [i9]Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu:
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. CoRR abs/2009.02251 (2020) - [i8]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
Summarizing graphs using the configuration model. CoRR abs/2010.09175 (2020) - [i7]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR abs/2012.02006 (2020)
2010 – 2019
- 2019
- [j6]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): 57:1-57:21 (2019) - [j5]Shenghua Liu
A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. 31(12): 2235-2248 (2019) - [c35]Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu:
Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. EDBT 2019: 658-661 - [c34]Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye:
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI 2019: 4433-4439 - [c33]Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. PAKDD (2) 2019: 501-513 - [c32]Wenjie Feng
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c31]Wenjie Feng
CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) 2019: 156-172 - [c30]Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos:
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM 2019: 621-629 - 2018
- [j4]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): 7:1-7:22 (2018) - [c29]Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng:
NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI 2018: 3315-3321 - [i6]Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu:
Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. CoRR abs/1812.05306 (2018) - 2017
- [c28]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. CIKM 2017: 1539-1548 - [c27]Pedro Costa
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA 2017: 323-330 - [c26]Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao:
Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI 2017: 2351-2357 - [c25]Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng:
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI 2017: 2985-2991 - [c24]Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li:
Single-Pass PCA of Large High-Dimensional Data. IJCAI 2017: 3350-3356 - [c23]Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu:
Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) 2017: 131-143 - [c22]Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) 2017: 786-798 - [c21]Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos:
BeatLex: Summarizing and Forecasting Time Series with Patterns. ECML/PKDD (2) 2017: 3-19 - [i5]Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Marked Temporal Dynamics Modeling based on Recurrent Neural Network. CoRR abs/1701.03918 (2017) - [i4]Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li:
Single-Pass PCA of Large High-Dimensional Data. CoRR abs/1704.07669 (2017) - [i3]Shenghua Liu, Bryan Hooi, Christos Faloutsos:
HoloScope: Topology-and-Spike Aware Fraud Detection. CoRR abs/1705.02505 (2017) - [i2]Wenjie Feng
EagleMine: Vision-Guided Mining in Large Graphs. CoRR abs/1710.08756 (2017) - 2016
- [c20]Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng:
Predict Anchor Links across Social Networks via an Embedding Approach. IJCAI 2016: 1823-1829 - [c19]Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) 2016: 33-34 - [i1]Shenghua Liu, Houdong Zheng, Huawei Shen, Xiangwen Liao, Xueqi Cheng:
Learning Sentimental Influences from Users' Behaviors. CoRR abs/1608.03371 (2016) - 2015
- [j3]Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li:
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets. IEEE Trans. Knowl. Data Eng. 27(6): 1696-1709 (2015) - [c18]Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Learning User-Specific Latent Influence and Susceptibility from Information Cascades. AAAI 2015: 477-484 - 2014
- [c17]Shenghua Liu, Xueqi Cheng, Fangtao Li:
Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure. AAAI 2014: 1235-1241 - [c16]Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang:
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. AAAI 2014: 1636-1642 - [c15]Zhankun Huang, Shenghua Liu, Pan Du, Xueqi Cheng:
Ranking Tweets with Local and Global Consistency Using Rich Features. PAKDD (1) 2014: 298-309 - 2013
- [c14]Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen:
Adaptive co-training SVM for sentiment classification on tweets. CIKM 2013: 2079-2088 - [c13]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: 749-757 - [c12]Jinhua Gao, Guoxin Cui, Shenghua Liu, Yue Liu, Xueqi Cheng:
ICTNET at Microblog Track in TREC 2013. TREC 2013 - [c11]Shenghua Liu, Ya-Tao Zhu, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
A Blending Method for Automated Social Tagging. Web Intelligence 2013: 115-120 - [c10]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: 105-106 - 2012
- [c9]Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang:
Clustering short text using Ncut-weighted non-negative matrix factorization. CIKM 2012: 2259-2262 - [c8]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: 221-228 - [c7]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: 258-267 - [c6]Bolong Zhu, Jinghua Gao, Xiao Han, Cunhui Shi, Shenghua Liu, Yue Liu, Xueqi Cheng:
ICTNET at Microblog Track TREC 2012. TREC 2012 - 2011
- [c5]Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng:
ICTNET at Microblog Track TREC 2011. TREC 2011 - 2010
- [j2]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): 27:1-27:21 (2010) - [c4]Shenghua Liu, Yuchun Ma, Xianlong Hong, Yu Wang:
Simultaneous slack budgeting and retiming for synchronous circuits optimization. ASP-DAC 2010: 49-54
2000 – 2009
- 2009
- [j1]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): 207-216 (2009) - [c3]Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xianlong Hong:
Diffusion-driven congestion reduction for substrate topological routing. ISPD 2009: 175-180 - 2008
- [c2]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: 566-569 - 2006
- [c1]Shenghua Liu, Peep Küngas, Mihhail Matskin:
Agent-Based Web Service Composition with JADE and JXTA. SWWS 2006: 110-116
Coauthor Index
[j16] [j15] [c50] [c49] [c48] [c47] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j12] [j11] [c46] [i14] [j10] [c44] [i13] [i12] [i11] [j8] [c43] [c42] [c41] [i10] [c40] [c36] [i8] [i7] [j6] [c34] [c33] [c32] [c31] [c29] [c26] [c25] [c22] [i5] [i2] [c20] [c19] [i1] [j3] [c18] [c17] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5]
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