2025
LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.
IEEE Trans. Knowl. Data Eng., October, 2024
BapFL: You can Backdoor Personalized Federated Learning.
ACM Trans. Knowl. Discov. Data, August, 2024
Scalable decoupling graph neural network with feature-oriented optimization.
VLDB J., May, 2024
SMEC: Scene Mining for E-Commerce.
J. Comput. Sci. Technol., March, 2024
Predicting stock market trends with self-supervised learning.
Neurocomputing, February, 2024
Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.
CoRR, 2024
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.
CoRR, 2024
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
CoRR, 2024
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training.
CoRR, 2024
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models.
CoRR, 2024
Can Large Language Models Act as Ensembler for Multi-GNNs?
CoRR, 2024
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.
CoRR, 2024
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator.
CoRR, 2024
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.
CoRR, 2024
Boosting Graph Foundation Model from Structural Perspective.
CoRR, 2024
Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation.
CoRR, 2024
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.
CoRR, 2024
Improving Graph Out-of-distribution Generalization on Real-world Data.
CoRR, 2024
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
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CoRR, 2024
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.
CoRR, 2024
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning.
CoRR, 2024
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning.
CoRR, 2024
Class-Balanced and Reinforced Active Learning on Graphs.
CoRR, 2024
Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR, 2024
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024
FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024
UPFL: Unsupervised Personalized Federated Learning towards New Clients.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.
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Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024
Cross-model Control: Improving Multiple Large Language Models in One-time Training.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Mobile Foundation Model as Firmware.
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Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.
Proceedings of the IEEE International Conference on Acoustics, 2024
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Large Language Models on Mobile Devices: Measurements, Analysis, and Insights.
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024
Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels.
Proceedings of the Database Systems for Advanced Applications, 2024
Structure-aware Fine-tuning for Code Pre-trained Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Self-supervised Heterogeneous Graph Variational Autoencoders.
CoRR, 2023
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.
CoRR, 2023
Prioritized Propagation in Graph Neural Networks.
CoRR, 2023
Resist Label Noise with PGM for Graph Neural Networks.
CoRR, 2023
Enhancing Graph Neural Networks with Structure-Based Prompt.
CoRR, 2023
Label Propagation for Graph Label Noise.
CoRR, 2023
Prompt Tuning for Multi-View Graph Contrastive Learning.
CoRR, 2023
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).
CoRR, 2023
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR, 2023
Exchanging-based Multimodal Fusion with Transformer.
CoRR, 2023
Rethinking Mobile AI Ecosystem in the LLM Era.
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CoRR, 2023
Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices.
CoRR, 2023
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.
CoRR, 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs.
CoRR, 2023
You Can Backdoor Personalized Federated Learning.
CoRR, 2023
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
CoRR, 2023
Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
CoRR, 2023
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
CoRR, 2023
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters.
CoRR, 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.
CoRR, 2023
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
CoRR, 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
Proceedings of the ACM Web Conference 2023, 2023
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Interactive Recommendation System for Meituan Waimai.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples.
Proceedings of the IEEE International Conference on Data Mining, 2023
Graph Self-Contrast Representation Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023
Context-Aware Session-Based Recommendation with Graph Neural Networks.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Meta-learning Siamese Network for Few-Shot Text Classification.
Proceedings of the Database Systems for Advanced Applications, 2023
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
Proc. VLDB Endow., 2022
SoC-Cluster as an Edge Server: an Application-driven Measurement Study.
CoRR, 2022
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
Proceedings of the International Conference on Machine Learning, 2022
An End-to-End Chinese Text Normalization Model Based on Rule-Guided Flat-Lattice Transformer.
Proceedings of the IEEE International Conference on Acoustics, 2022
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Lexical Knowledge Internalization for Neural Dialog Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Structure-enhanced meta-learning for few-shot graph classification.
AI Open, 2021
Disentangling User Interest and Conformity for Recommendation with Causal Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems.
Proceedings of the 24th International Conference on Extending Database Technology, 2021
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.
CoRR, 2020
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
A General Early-Stopping Module for Crowdsourced Ranking.
Proceedings of the Database Systems for Advanced Applications, 2020
2019
Spectral Clustering in Heterogeneous Information Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ROSC: Robust Spectral Clustering on Multi-scale Data.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
2017
Semi-supervised Clustering in Attributed Heterogeneous Information Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017
2016
TORD Problem and Its Solution Based on Big Trajectories Data.
IEEE Trans. Intell. Transp. Syst., 2016
T-DesP: Destination Prediction Based on Big Trajectory Data.
IEEE Trans. Intell. Transp. Syst., 2016
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
On Transductive Classification in Heterogeneous Information Networks.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2013
Predicting Users' Age Range in Micro-blog Network.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013
Effective Method for Promoting Viral Marketing in Microblog.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Cleaning uncertain data for top-k queries.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
Novel user influence measurement based on user interaction in microblog.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012
2011
On Link-based Similarity Join.
Proc. VLDB Endow., 2011
2010
Explore or Exploit? Effective Strategies for Disambiguating Large Databases.
Proc. VLDB Endow., 2010