2025
ListConRanker: A Contrastive Text Reranker with Listwise Encoding.
CoRR, January, 2025
DTDA: Dual-channel Triple-to-quintuple Data Augmentation for Comparative Opinion Quintuple Extraction.
Knowl. Based Syst., 2025
Preserving high-order ego-centric topological patterns in node representation in heterogeneous graph.
Knowl. Based Syst., 2025
Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning.
Expert Syst. Appl., 2025
COF: Adaptive Chain of Feedback for Comparative Opinion Quintuple Extraction.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning.
IEEE Trans. Knowl. Data Eng., November, 2024
Exploring noise control strategies for UMLS-based query expansion in health and biomedical information retrieval.
J. Ambient Intell. Humaniz. Comput., March, 2024
Towards human-like perception: Learning structural causal model in heterogeneous graph.
Inf. Process. Manag., March, 2024
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection.
CoRR, 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model.
CoRR, 2024
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU.
CoRR, 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
CoRR, 2024
Enhance Robustness of Language Models Against Variation Attack through Graph Integration.
CoRR, 2024
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications.
CoRR, 2024
Personalized LLM Response Generation with Parameterized Memory Injection.
CoRR, 2024
Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Enhance Robustness of Language Models against Variation Attack through Graph Integration.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
H<sup>2</sup>CGL: Modeling dynamics of citation network for impact prediction.
Inf. Process. Manag., November, 2023
Disentangling the Potential Impacts of Papers into Diffusion, Conformity, and Contribution Values.
CoRR, 2023
A Chinese Prompt Attack Dataset for LLMs with Evil Content.
CoRR, 2023
Memory-Augmented LLM Personalization with Short- and Long-Term Memory Coordination.
CoRR, 2023
PPN: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts.
CoRR, 2023
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction.
CoRR, 2023
GCN-based End-to-End Model for Comparative Opinion Quintuple Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2023
Content- and Topology-Aware Representation Learning for Scientific Multi-Literature.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion.
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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
A Prompt-Based UIE Framework.
Proceedings of the CCKS 2022 - Evaluation Track, 2022
Hierarchical Multi-task Learning for Enterprise Risk Detection from Financial Documents.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Evidence Aware Neural Pornographic Text Identification for Child Protection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model.
CoRR, 2020
Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Implicit Products in the Decentralized eCommerce Ecosystems.
Proceedings of the JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Finding Camouflaged Needle in a Haystack?: Pornographic Products Detection via Berrypicking Tree Model.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Exploiting the semantic graph for the representation and retrieval of medical documents.
Comput. Biol. Medicine, 2018
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Sentiment Classification towards Question-Answering with Hierarchical Matching Network.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Semantic analysis for enhanced medical retrieval.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
2016
Robust and scalable matrix completion.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016
2015
On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems.
CoRR, 2015