publications
publications by categories in reversed chronological order.
2025
- Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited FactsIn In Proc. of the Association for Computational Linguistics, ACL Main, 2025
- Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?In In Proc. of the Association for Computational Linguistics, ACL Main, 2025
- Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-FaithfulnessIn International Conference on Learning Representations, ICLR, 2025
- "Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models’ JailbreakIn In Proc. of the International Conference on Computational Linguistics, Coling, 2025
2024
- SLANG: New Concept Comprehension of Large Language ModelsIn In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Main, 2024
- Adaptive Token Biaser: Knowledge Editing via Biasing Key EntitiesIn In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Findings, 2024
- LPNL: Scalable Link Prediction with Large Language ModelsIn In Proc. of the Empirical Methods in Natural Language Processing, EMNLP Findings, 2024
- Interrelated Dense Pattern Detection in Multilayer NetworksIEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2024
- Node Embedding Preserving Graph SummarizationACM Transactions on Knowledge Discovery from Data, TKDD, Nov 2024
- Graph Summarization for Preserving Spectral CharacteristicsIn In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2024
- Unified Dense Subgraph Detection: Fast Spectral Theory based AlgorithmsIEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2024Published March 2024 (pub date: 17 July 2023)
2023
- A Provable Framework of Learning Graph Embeddings via SummarizationIn In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2023
- Hierarchical Dense Pattern Detection in TensorACM Transactions on Knowledge Discovery from Data, TKDD, Nov 2023
- W3Detector: Detecting fraudulent online sellers based on temporal and spacial informationIn In Proc. of the International Conference on Machine Learning and Applications, ICMLA, Nov 2023
2022
2021
- Combating emerging financial risks in the big data era: A perspective reviewFundamental Research, Nov 2021
- AugSplicing: Synchronized Behavior Detection in Streaming TensorsIn In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2021Acceptance rate: 21%
- EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detectionFuture Generation Computer Systems, Nov 2021
2020
- SpecGreedy: Unified Dense Subgraph DetectionIn In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD, Nov 2020Best student DM paper award. Acceptance rate: 19%. Verified on 40 real-world networks, and a 1.47-billion-edge graph
2019
- CT LIS: Learning Influences and Susceptibilities through Temporal BehaviorsACM Transactions on Knowledge Discovery from Data, TKDD, Nov 2019
- SMF: Drift-Aware Matrix Factorization with Seasonal PatternsIn In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2019
- Optimal Algorithm for Profiling Dynamic Arrays with Finite ValuesIn International Conference on Extending Database Technology (EDBT), Nov 2019
- A Contrast Metric for Fraud Detection in Rich GraphsIEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2019
2018
- MFPR: A Personalized Ranking Recommendation with Multiple FeedbackACM Transactions on Social Computing, Nov 2018
2017
- BEATLEX: Summarizing and Forecasting Time Series with PatternsIn In Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD, Nov 2017
- EyeQual: Accurate, Explainable, Retinal Image Quality AssessmentIn In Proc. of the International Conference on Machine Learning and Applications, ICMLA, Nov 2017
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- Learning Concise Representations of Users’ Influences through Online BehaviorsIn In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2017
- Cascade dynamics modeling with attention-based recurrent neural networkIn In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2017
- Marked Temporal Dynamics Modeling based on Recurrent Neural NetworkIn In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2017
- Personalized Ranking Recommendation via Integrating Multiple FeedbacksIn In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2017
2016
- Predict Anchor Links across Social Networks via an Embedding ApproachIn In Proc. of the International Joint Conference on Artificial Intelligence, IJCAI, Nov 2016
- Social Media Sentiment Analysis: opinions, users, and behaviorsCommunication of Chinese Association for Artificial Intelligence (CAAI), Nov 2016
- Modeling and predicting retweeting dynamics via a mixture processIn In Proc. of the International World Wide Web Conference, WWW Companion, Nov 2016
2015
- TASC: Topic-Adaptive Sentiment Classification on Dynamic TweetsIEEE Transactions on Knowledge and Data Engineering, TKDE, Nov 2015
- Learning user-specific latent influence and susceptibility from information cascadesIn In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2015
2014
- Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive ClosureIn In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2014
- SUIT: A Supervised User-Item based Topic model for Sentiment AnalysisIn In Proc. of the Association for the Advancement of Artificial Intelligence, AAAI, Nov 2014
- Ranking Tweets with Local and Global Consistency Using Rich FeaturesIn In Proc. of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Nov 2014
- Semantic Concept Linking and Extension for Social Media Short TextsJournal of Chinese Information Processing, Nov 2014
2013
- Adaptive Co-Training SVM for Sentiment Classification on TweetsIn In Proc. of the ACM International Conference on Information and Knowledge Management, CIKM, Nov 2013
- Co-training and Visualizing Sentiment Evolvement for Tweet EventsIn In Proc. of the International World Wide Web Conference, WWW Companion, Nov 2013
- Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation MatrixIn In Proc. of the SIAM International Conference on Data Mining, SDM, Nov 2013
- A Blending Method for Automated Social TaggingIn Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Nov 2013
2012
- Clustering short text using Ncut-weighted non-negative matrix factorizationIn In Proc. of the ACM International Conference on Information and Knowledge Management, CIKM Short, Nov 2012
- Using WordNet-Based Neighborhood for Improving Social Tag RecommendationIn Intelligent Computing Theories and Applications, Nov 2012
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- ICTNET at Microblog Track TREC 2012In The Twenty-First Text REtrieval Conference (TREC 2012) Proceedings, Nov 2012
- An Entropy-Based Rule Mining algorithm for Filtering Tweets on TopicsJournal of Chinese Information Processing, Nov 2012
- Adding Semantic Concepts to Tweets Based on WikipediaIn China Conference on Information Retrieval (CCIR), Nov 2012
2011
- ICTNET at Microblog Track TREC 2011In The Twentieth Text REtrieval Conference (TREC 2011) Proceedings, Nov 2011
- Push Tweets on Topics: A Rule-Entropy-Based ClassifierIn China Conference on Information Retrieval (CCIR), Nov 2011
2010
- Effective Congestion Reduction for IC Package Substrate RoutingIEEE Transactions on Design Automation of Electronic Systems, TODAES, Nov 2010
- Simultaneous Slack Budgeting and Retiming for Synchronous Circuits OptimizationIn In Proc. of the Asia and South Pacific Design Automation Conference, ASP-DAC, Nov 2010Best paper candidate
2009
- Substrate Topological Routing for High Density PackagesIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, TCAD, Nov 2009
- Diffusion-Driven Congestion Reduction for Substrate Topological RoutingIn International Symposium on Physical Design (ISPD SIGDA), Nov 2009
- Congestion-driven floorplanning based on two-stage optimizationIn IEEE 8th International Conference on ASIC (ASICON), Nov 2009
2008
- Topological Routing to Maximize Routability for Package SubstrateIn In Proc. of the Design Automation Conference, DAC, Nov 2008
2006
- FREe: A Fast Routability EstimatorIn IEEE International Conference on Communications, Circuits and Systems (ICCCAS), Nov 2006