Shenghua Liu - RankMe

116 papers A* 17A 8B 3C 2Journal 60Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An overview of opinion polarization: models, drivers, and strategic solutions. Inf. Process. Manag. Shenghua Liu, Zhibin Wu, Luis Martínez
2026	J	`jnl`	AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning. CoRR Siqian Tong, Xuan Li, Yiwei Wang, Baolong Bi, Yujun Cai, Shenghua Liu, Yuchen He, Chengpeng Hao
2026	J	`jnl`	Causal Interpretation of Neural Network Computations with Contribution Decomposition. CoRR Joshua Melander, Zaki Alaoui, Shenghua Liu, Surya Ganguli, Stephen A. Baccus
2026	J	`jnl`	Gated Differentiable Working Memory for Long-Context Language Modeling. CoRR Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng
2026	J	`jnl`	HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific Documents. CoRR Lexin Wang, Shenghua Liu, Yiwei Wang, Yujun Cai, Yuyao Ge, Jiayu Yao, Jiafeng Guo, Xueqi Cheng
2026	J	`jnl`	Prism-Δ: Differential Subspace Steering for Prompt Highlighting in Large Language Models. CoRR Yuyao Ge, Shenghua Liu, Yiwei Wang, Tianyu Liu, Baolong Bi, Lingrui Mei, Jiayu Yao, Jiafeng Guo, Xueqi Cheng
2026	J	`jnl`	PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding. CoRR Baolong Bi, Yuyao Ge, Shenghua Liu, Yuchen He, Siqian Tong, Lizhe Chen, Lingrui Mei, Zehao Li, Yiwei Wang, Yujun Cai, Ming-Hsuan Yang, Xueqi Cheng
2025	B	`conf`	"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. COLING Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
2025	J	`jnl`	A Survey of Context Engineering for Large Language Models. CoRR Lingrui Mei, Jiayu Yao, Yuyao Ge, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu
2025	J	`jnl`	A Survey of Vibe Coding with Large Language Models. CoRR Yuyao Ge, Lingrui Mei, Zenghao Duan, Tianhao Li, Yujia Zheng, Yiwei Wang, Lexin Wang, Jiayu Yao, Tianyu Liu, Yujun Cai, Baolong Bi, Fangda Guo, Jiafeng Guo, Shenghua Liu, Xueqi Cheng
2025	J	`jnl`	Addressing the influence of limited tolerance and compromise behaviors on the social trust network consensus-reaching process. Inf. Sci. Hengjie Zhang, Shenghua Liu, Cong-Cong Li, Yucheng Dong, Francisco Chiclana, Enrique Herrera-Viedma
2025	—	`conf`	Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? ACL (1) Yuyao Ge, Shenghua Liu, Baolong Bi, Yiwei Wang, Lingrui Mei, Wenjie Feng, Lizhe Chen, Xueqi Cheng
2025	—	`conf`	Context-DPO: Aligning Language Models for Context-Faithfulness. ACL (Findings) 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	—	`conf`	Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts. ACL (1) Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Junfeng Fang, Pengliang Ji, Xueqi Cheng
2025	J	`jnl`	Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning. CoRR Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Xuanshan Zhou, Jiayu Yao, Jiafeng Guo, Xueqi Cheng
2025	J	`jnl`	Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking. CoRR Yuyao Ge, Shenghua Liu, Yiwei Wang, Lingrui Mei, Lizhe Chen, Baolong Bi, Xueqi Cheng
2025	A*	`conf`	Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. ICLR Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng
2025	J	`jnl`	Not in Sync: Unveiling Temporal Bias in Audio Chat Models. CoRR Jiayu Yao, Shenghua Liu, Yiwei Wang, Rundong Cheng, Lingrui Mei, Baolong Bi, Zhen Xiong, Xueqi Cheng
2025	J	`jnl`	Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models. CoRR Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng
2025	J	`jnl`	Probing Latent Knowledge Conflict for Faithful Retrieval-Augmented Generation. CoRR Linfeng Gao, Baolong Bi, Zheng Yuan, Le Wang, Zerui Chen, Zhimin Wei, Shenghua Liu, Qinggang Zhang, Jinsong Su
2025	J	`jnl`	RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs. CoRR Baolong Bi, Shenghua Liu, Xingzhang Ren, Dayiheng Liu, Junyang Lin, Yiwei Wang, Lingrui Mei, Junfeng Fang, Jiafeng Guo, Xueqi Cheng
2025	J	`jnl`	Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization. CoRR Juan Chen, Baolong Bi, Wei Zhang, Jingyan Sui, Xiaofei Zhu, Yuanzhuo Wang, Lingrui Mei, Shenghua Liu
2025	J	`jnl`	Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning. CoRR Baolong Bi, Shenghua Liu, Yiwei Wang, Siqian Tong, Lingrui Mei, Yuyao Ge, Yilong Xu, Jiafeng Guo, Xueqi Cheng
2025	A*	`conf`	Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. EMNLP Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng
2025	J	`jnl`	Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation. CoRR Jiayu Yao, Shenghua Liu, Yiwei Wang, Lingrui Mei, Baolong Bi, Yuyao Ge, Zhecheng Li, Xueqi Cheng
2025	J	`jnl`	a1: Steep Test-time Scaling Law via Environment Augmented Generation. CoRR Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Yuyao Ge, Jun Wan, Yurong Wu, Xueqi Cheng
2024	J	`jnl`	"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng
2024	—	`conf`	Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
2024	J	`jnl`	Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng
2024	J	`jnl`	Context-DPO: Aligning Language Models for Context-Faithfulness. CoRR 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
2024	J	`jnl`	Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng
2024	J	`jnl`	Graph Descriptive Order Improves Reasoning with Large Language Model. CoRR Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng
2024	A	`conf`	Graph Summarization for Preserving Spectral Characteristics. SDM Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
2024	J	`jnl`	HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. CoRR Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng
2024	J	`jnl`	Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. Wenjie Feng, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu
2024	J	`jnl`	Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
2024	—	`conf`	LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng
2024	J	`jnl`	Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng
2024	A*	`conf`	SLANG: New Concept Comprehension of Large Language Models. EMNLP Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng
2024	J	`jnl`	SLANG: New Concept Comprehension of Large Language Models. CoRR Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Chen
2024	J	`jnl`	Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models. CoRR Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Chen
2024	J	`jnl`	StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng
2024	J	`jnl`	Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng
2023	J	`jnl`	A Minimum Cost Consensus-Based Failure Mode and Effect Analysis Framework Considering Experts' Limited Compromise and Tolerance Behaviors. IEEE Trans. Cybern. Hengjie Zhang, Shenghua Liu, Yucheng Dong, Francisco Chiclana, Enrique Herrera-Viedma
2023	A*	`conf`	A Provable Framework of Learning Graph Embeddings via Summarization. AAAI Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2023	J	`jnl`	Fast Searching The Densest Subgraph And Decomposition With Local Optimality. CoRR Yugao Zhu, Shenghua Liu, Wenjie Feng, Xueqi Cheng
2023	J	`jnl`	Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data Wenjie Feng, Shenghua Liu, Xueqi Cheng
2023	J	`jnl`	Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng
2023	C	`conf`	W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information. ICMLA Shengbo Tong, Yuyang Xie, Shenghua Liu, Wenjian Yu, Jixuan Cai
2022	J	`jnl`	CGCNImp: a causal graph convolutional network for multivariate time series imputation. PeerJ Comput. Sci. Caizheng Liu, Guangfan Cui, Shenghua Liu
2022	J	`jnl`	Learning node embeddings via summary graphs: a brief theoretical analysis. CoRR Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2022	A	`conf`	MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022	J	`jnl`	MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022	J	`jnl`	Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. CoRR Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng
2022	J	`jnl`	On the Cybernetics of Crowdsourcing Innovation: A Process Model. IEEE Access Lei Lin, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng
2021	A*	`conf`	AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
2021	—	`conf`	CubeFlow: Money Laundering Detection with Coupled Tensors. PAKDD (1) Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
2021	J	`jnl`	CubeFlow: Money Laundering Detection with Coupled Tensors. CoRR Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng
2021	A	`conf`	DPGS: Degree-Preserving Graph Summarization. SDM Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
2021	J	`jnl`	EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2021	J	`jnl`	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. Yan Zhu, Chuanhao Fan, Jing Xiao, Shenghua Liu
2020	J	`jnl`	AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng
2020	B	`conf`	Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. ICTAI Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu
2020	J	`jnl`	Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA. CoRR Xiangyun Ding, Wenjian Yu, Yuyang Xie, Shenghua Liu
2020	A*	`conf`	FlowScope: Spotting Money Laundering Based on Graphs. AAAI Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
2020	A*	`conf`	Provably Robust Node Classification via Low-Pass Message Passing. ICDM Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
2020	—	`conf`	Silicon-Based Integrated Broadband Wavelength-Meter with Low Temperature Sensitivity. OFC Long Chen, Chris Doerr, Shenghua Liu, Li Chen, Michelle Xu
2020	—	`conf`	SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng
2020	J	`jnl`	Summarizing graphs using the configuration model. CoRR Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng
2019	J	`jnl`	A Contrast Metric for Fraud Detection in Rich Graphs. IEEE Trans. Knowl. Data Eng. Shenghua Liu, Bryan Hooi, Christos Faloutsos
2019	A*	`conf`	BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series. IJCAI Bin Zhou, Shenghua Liu, Bryan Hooi, Xueqi Cheng, Jing Ye
2019	—	`conf`	Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2019	J	`jnl`	CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao
2019	—	`conf`	CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) Wenjie Feng, Shenghua Liu, Xueqi Cheng
2019	—	`conf`	EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. PAKDD (2) Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng
2019	B	`conf`	Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. EDBT Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu
2019	A	`conf`	SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. SDM Bryan Hooi, Kijung Shin, Shenghua Liu, Christos Faloutsos
2018	J	`jnl`	MFPR: A Personalized Ranking Recommendation with Multiple Feedback. ACM Trans. Soc. Comput. Chuan Shi, Jian Liu, Yiding Zhang, Binbin Hu, Shenghua Liu, Philip S. Yu
2018	A*	`conf`	NeuCast: Seasonal Neural Forecast of Power Grid Time Series. IJCAI Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
2018	J	`jnl`	Optimal Algorithm for Profiling Dynamic Arrays with Finite Values. CoRR Dingcheng Yang, Wenjian Yu, Junhui Deng, Shenghua Liu
2017	—	`conf`	BeatLex: Summarizing and Forecasting Time Series with Patterns. ECML/PKDD (2) Bryan Hooi, Shenghua Liu, Asim Smailagic, Christos Faloutsos
2017	A*	`conf`	Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng
2017	J	`jnl`	EagleMine: Vision-Guided Mining in Large Graphs. CoRR Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng
2017	C	`conf`	EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. ICMLA Pedro Costa, Aurélio J. C. Campilho, Bryan Hooi, Asim Smailagic, Kris Kitani, Shenghua Liu, Christos Faloutsos, Adrian Galdran
2017	A	`conf`	HoloScope: Topology-and-Spike Aware Fraud Detection. CIKM Shenghua Liu, Bryan Hooi, Christos Faloutsos
2017	J	`jnl`	HoloScope: Topology-and-Spike Aware Fraud Detection. CoRR Shenghua Liu, Bryan Hooi, Christos Faloutsos
2017	A*	`conf`	Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao
2017	—	`conf`	Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng
2017	J	`jnl`	Marked Temporal Dynamics Modeling based on Recurrent Neural Network. CoRR Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng
2017	—	`conf`	Personalized Ranking Recommendation via Integrating Multiple Feedbacks. PAKDD (2) Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu
2017	A*	`conf`	Single-Pass PCA of Large High-Dimensional Data. IJCAI Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
2017	J	`jnl`	Single-Pass PCA of Large High-Dimensional Data. CoRR Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li
2016	J	`jnl`	Learning Sentimental Influences from Users' Behaviors. CoRR Shenghua Liu, Houdong Zheng, Huawei Shen, Xiangwen Liao, Xueqi Cheng
2016	—	`conf`	Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng
2016	A*	`conf`	Predict Anchor Links across Social Networks via an Embedding Approach. IJCAI Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng
2015	A*	`conf`	Learning User-Specific Latent Influence and Susceptibility from Information Cascades. AAAI Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng
2015	J	`jnl`	TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets. IEEE Trans. Knowl. Data Eng. Shenghua Liu, Xueqi Cheng, Fuxin Li, Fangtao Li
2014	A*	`conf`	Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure. AAAI Shenghua Liu, Xueqi Cheng, Fangtao Li
2014	—	`conf`	Ranking Tweets with Local and Global Consistency Using Rich Features. PAKDD (1) Zhankun Huang, Shenghua Liu, Pan Du, Xueqi Cheng
2014	A*	`conf`	SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. AAAI Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang
2013	—	`conf`	A Blending Method for Automated Social Tagging. Web Intelligence Shenghua Liu, Ya-Tao Zhu, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng
2013	A	`conf`	Adaptive co-training SVM for sentiment classification on tweets. CIKM Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen
2013	—	`conf`	Co-training and visualizing sentiment evolvement for tweet events. WWW (Companion Volume) Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu, Yuanzhuo Wang
2013	—	`conf`	ICTNET at Microblog Track in TREC 2013. TREC Jinhua Gao, Guoxin Cui, Shenghua Liu, Yue Liu, Xueqi Cheng
2013	A	`conf`	Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. SDM Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan
2012	A	`conf`	Clustering short text using Ncut-weighted non-negative matrix factorization. CIKM Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang
2012	—	`conf`	Finding Topic-Related Tweets Using Conversational Thread. IIP Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng
2012	—	`conf`	ICTNET at Microblog Track TREC 2012. TREC Bolong Zhu, Jinghua Gao, Xiao Han, Cunhui Shi, Shenghua Liu, Yue Liu, Xueqi Cheng
2012	—	`conf`	Using WordNet-Based Neighborhood for Improving Social Tag Recommendation. ICIC (2) Ya-Tao Zhu, Shenghua Liu, Xueqi Cheng, Yue Liu, Yuanzhuo Wang, Jin-Gang Liu
2011	—	`conf`	ICTNET at Microblog Track TREC 2011. TREC Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng
2010	J	`jnl`	Effective congestion reduction for IC package substrate routing. ACM Trans. Design Autom. Electr. Syst. Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xianlong Hong
2010	—	`conf`	Simultaneous slack budgeting and retiming for synchronous circuits optimization. ASP-DAC Shenghua Liu, Yuchun Ma, Xianlong Hong, Yu Wang
2009	—	`conf`	Diffusion-driven congestion reduction for substrate topological routing. ISPD Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Robi Dutta, Xianlong Hong
2009	J	`jnl`	Substrate Topological Routing for High-Density Packages. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xianlong Hong
2008	A*	`conf`	Topological routing to maximize routability for package substrate. DAC Shenghua Liu, Guoqiang Chen, Tom Tong Jing, Lei He, Tianpei Zhang, Robi Dutta, Xianlong Hong
2006	—	`conf`	Agent-Based Web Service Composition with JADE and JXTA. SWWS Shenghua Liu, Peep Küngas, Mihhail Matskin