Shenghua Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
17
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation. | Linfeng Gao, Qinggang Zhang, Baolong Bi, Bo Zeng, Zheng Yuan, Zerui Chen, Zhimin Wei, Shenghua Liu, Linlong Xu, Longyue Wang, Weihua Luo, Jinsong Su |
| 2026 | ACL | a1: Steep Test-time Scaling Law via Environment Augmented Generation. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng |
| 2026 | ACL | HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng |
| 2026 | ACL | Gated Differentiable Working Memory for Long-Context Language Modeling. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng |
| 2025 | ACL | Context-DPO: Aligning Language Models for Context-Faithfulness. | Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Shenghua Liu |
| 2025 | ACL | Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. | Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng |
| 2025 | ACL | Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? | Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng |
| 2025 | COLING | "Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng |
| 2025 | EMNLP | Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. | Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng |
| 2025 | ICLR | Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng |
| 2024 | ACL | LPNL: Scalable Link Prediction with Large Language Models. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng |
| 2024 | EMNLP | Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. | Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng |
| 2024 | EMNLP | SLANG: New Concept Comprehension of Large Language Models. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng |
| 2024 | SDM | Graph Summarization for Preserving Spectral Characteristics. | Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng |
| 2023 | AAAI | A Provable Framework of Learning Graph Embeddings via Summarization. | Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng |
| 2023 | ICMLA | W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information. | Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai |
| 2022 | WSDM | MonLAD: Money Laundering Agents Detection in Transaction Streams. | Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng |
| 2021 | AAAI | AugSplicing: Synchronized Behavior Detection in Streaming Tensors. | Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng |
| 2021 | PAKDD | CubeFlow: Money Laundering Detection with Coupled Tensors. | Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng |
| 2021 | SDM | DPGS: Degree-Preserving Graph Summarization. | Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng |
| 2020 | AAAI | FlowScope: Spotting Money Laundering Based on Graphs. | Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng |
| 2020 | ICDM | Provably Robust Node Classification via Low-Pass Message Passing. | Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi |
| 2020 | ICTAI | Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. | Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu |
| 2019 | EDBT | Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. | Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu |
| 2019 | IJCAI | BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. | Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye |
| 2019 | PAKDD | Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. | Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng |
| 2019 | PAKDD | EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. | Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng |
| 2019 | SDM | SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. | Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos |
| 2018 | IJCAI | NeuCast: Seasonal Neural Forecast of Power Grid Time Series. | Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng |
| 2017 | CIKM | HoloScope: Topology-and-Spike Aware Fraud Detection. | Shenghua Liu, Bryan Hooi, Christos Faloutsos |
| 2017 | ICMLA | EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. | Pedro Costa, Aurlio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran |
| 2017 | IJCAI | Learning Concise Representations of Users' Influences through Online Behaviors. | Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao |
| 2017 | IJCAI | Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. | Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng |
| 2017 | IJCAI | Single-Pass PCA of Large High-Dimensional Data. | Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li |
| 2017 | PAKDD | Personalized Ranking Recommendation via Integrating Multiple Feedbacks. | Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu |
| 2017 | PAKDD | Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. | Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2016 | IJCAI | Predict Anchor Links across Social Networks via an Embedding Approach. | Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng |
| 2016 | WWW | Modeling and Predicting Retweeting Dynamics via a Mixture Process. | Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng |
| 2015 | AAAI | Learning User-Specific Latent Influence and Susceptibility from Information Cascades. | Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng |
| 2014 | AAAI | Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure. | Shenghua Liu, Xueqi Cheng, Fangtao Li |
| 2014 | AAAI | SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. | Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang |
| 2014 | PAKDD | Ranking Tweets with Local and Global Consistency Using Rich Features. | Zhankun Huang, Shenghua Liu, Pan Du, Xueqi Cheng |
| 2013 | CIKM | Adaptive co-training SVM for sentiment classification on tweets. | Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen |
| 2013 | WWW | Co-training and visualizing sentiment evolvement for tweet events. | Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu, Yuanzhuo Wang |
| 2013 | SDM | Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. | Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan |
| 2012 | CIKM | Clustering short text using Ncut-weighted non-negative matrix factorization. | Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang |
| 2010 | ASPDAC | Simultaneous slack budgeting and retiming for synchronous circuits optimization. | Shenghua Liu, Yuchun Ma, Xianlong Hong, Yu Wang |
| 2008 | DAC | Topological routing to maximize routability for package substrate. | Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xianlong Hong |