Yaliang Li
Orcid: 0000-0002-4204-6096
According to our database1,
Yaliang Li
authored at least 200 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Knowl. Data Eng., December, 2024
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture.
IEEE Trans. Knowl. Data Eng., October, 2024
ACM Trans. Inf. Syst., September, 2024
Proc. VLDB Endow., February, 2024
Proc. VLDB Endow., January, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts.
CoRR, 2024
CoRR, 2024
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers.
CoRR, 2024
CoRR, 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources.
CoRR, 2024
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.
CoRR, 2024
Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study.
CoRR, 2024
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., November, 2023
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
IEEE Trans. Knowl. Data Eng., May, 2023
AI Open, January, 2023
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
ACM Trans. Inf. Syst., 2022
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction.
ACM Trans. Inf. Syst., 2022
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.
ACM Trans. Inf. Syst., 2022
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling.
ACM Trans. Inf. Syst., 2022
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing.
Proc. VLDB Endow., 2022
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.
CoRR, 2022
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022
Proceedings of the Information Retrieval - 28th China Conference, 2022
2021
IEEE Trans. Knowl. Data Eng., 2021
Proc. VLDB Endow., 2021
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling.
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Natural Language Processing and Chinese Computing, 2021
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
IEEE Trans. Big Data, 2020
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
ACM Trans. Sens. Networks, 2019
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.
J. Cheminformatics, 2019
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.
BMC Bioinform., 2019
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CBN: Constructing a clinical Bayesian network based on data from the electronic medical record.
J. Biomed. Informatics, 2018
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.
CoRR, 2018
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.
Artif. Intell. Medicine, 2018
Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction.
IEEE Access, 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks.
IEEE Trans. Mob. Comput., 2017
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
2014
Proc. VLDB Endow., 2014
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Data Classification: Algorithms and Applications, 2014
2012
Proceedings of the Information Retrieval Technology, 2012
2011
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011