Songlin Hu

Orcid: 0000-0002-7170-3809

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (former)
  • University of Toronto, Middleware System Research Group, Toronto, Canada (2005 - 2006)
  • Beihang University, Beijing, China (PhD 2001)


According to our database1, Songlin Hu authored at least 240 papers between 2002 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs.
CoRR, July, 2025

Libra: Large Chinese-based Safeguard for AI Content.
CoRR, July, 2025

Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots.
CoRR, July, 2025

Paper Summary Attack: Jailbreaking LLMs through LLM Safety Papers.
CoRR, July, 2025

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models.
CoRR, May, 2025

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions.
CoRR, May, 2025

MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation.
CoRR, May, 2025

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing.
CoRR, May, 2025

LightRetriever: A LLM-based Hybrid Retrieval Architecture with 1000x Faster Query Inference.
CoRR, May, 2025

Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.
CoRR, February, 2025

NExtLong: Toward Effective Long-Context Training without Long Documents.
CoRR, January, 2025

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Segment-Recurrent Transformer with Multi-Scale Fusion for Long-Term Time Series Forecasting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Identifying Bots on Social Media through Coordinated Group Perception.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Boosting Open-Vocabulary Object Detection Performance via Class-Agnostic Pseudo-Labels and MultiModal Hybrid Knowledge.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Evidence-Claim Relevance Decoupling for Multimodal Fact-Checking.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

DS-GCG: Enhancing LLM Jailbreaks with Token Suppression and Induction Dual-Strategy.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

GRAgent: A Generative Retrieval Framework for Action Subspace Selection.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

APEE: Assessing the Personality Expressions of LLM-Driven Role Play Agent Beyond Self-Perception.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Chain of Attack: Hide Your Intention through Multi-Turn Interrogation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Capture the Key in Reasoning to Enhance CoT Distillation Generalization.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

BotSim: LLM-Powered Malicious Social Botnet Simulation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media.
CoRR, 2024

The Dark Side of Trust: Authority Citation-Driven Jailbreak Attacks on Large Language Models.
CoRR, 2024

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning.
CoRR, 2024

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.
CoRR, 2024

Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens.
CoRR, 2024

Semantic-Enhanced Relational Metric Learning for Recommender Systems.
CoRR, 2024

Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation.
CoRR, 2024

Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM.
CoRR, 2024

Parquet-Based CTR Model Training in Production Environment.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Information Diffusion Prediction with Graph Neural Ordinary Differential Equation Network.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Pyramidal Cross-Modal Transformer with Sustained Visual Guidance for Multi-Label Image Classification.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Reinforcement Learning-powered Effectiveness and Efficiency Few-shot Jailbreaking Attack LLMs.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs.
Proceedings of the International Joint Conference on Neural Networks, 2024

ProFetch: Accelerate Deep Recommendation System Training with Proactively Designed Data Layout and Dynamic Prefetching.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Multi-source Knowledge Enhanced Graph Attention Networks for Multimodal Fact Verification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MetaPETR: An Effective Model for Handling Class-Imbalanced Data About Event Temporal Relations.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Transferring Structure Knowledge: A New Task to Fake News Detection towards Cold-Start Propagation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models.
Proceedings of the Euro-Par 2024: Parallel Processing, 2024

Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Leveraging Evolution Patterns to Enhance Script Event Prediction by Large Language Models.
Proceedings of the Database Systems for Advanced Applications, 2024

Triple-Based Data Augmentation for Event Temporal Extraction via Reinforcement Learning from Human Feedback.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Integrating Open-domain Knowledge via Large Language Model for Multimodal Fake News Detection.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Capture Long-Range Dependency with Meta-Path Transformer for De-Anonymization of Q&A Sites.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Towards More Effective and Transferable Poisoning Attacks against Link Prediction on Graphs.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

MT-MNA: Multiple Network Alignment with Absent Priori Annotation.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Few-Shot Learning for Cold-Start Recommendation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-stream Information Fusion Framework for Emotional Support Conversation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Uncertainty-Guided Modal Rebalance for Hateful Memes Detection.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Representation Learning with Conditional Information Flow Maximization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Structured Probabilistic Coding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation.
ACM Trans. Inf. Syst., January, 2023

Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection.
IEEE Trans. Multim., 2023

HIM: An End-to-End Hierarchical Interaction Model for Aspect Sentiment Triplet Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

ContE: contextualized knowledge graph embedding for circular relations.
Data Min. Knowl. Discov., 2023

Are Large Language Models Good Fact Checkers: A Preliminary Study.
CoRR, 2023

Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study.
CoRR, 2023

InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models.
CoRR, 2023

HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus.
CoRR, 2023

Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval.
CoRR, 2023

ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.
CoRR, 2023

CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval.
CoRR, 2023

CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval.
CoRR, 2023

UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Invariant Meets Specific: A Scalable Harmful Memes Detection Framework.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Social Bot Detection Based on Window Strategy.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Semantic Stage-Wise Learning for Knowledge Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems.
Proceedings of the Computational Science - ICCS 2023, 2023

A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Translets: Toward Explainable Phishing Fraud Detection in Ethereum.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

TrojanSQL: SQL Injection against Natural Language Interface to Database.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Query-as-context Pre-training for Dense Passage Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PUNR: Pre-training with User Behavior Modeling for News Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series.
Proceedings of the Database Systems for Advanced Applications, 2023

Improving Event Representation with Supervision from Available Semantic Resources.
Proceedings of the Database Systems for Advanced Applications, 2023

MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ConTextual Masked Auto-Encoder for Dense Passage Retrieval.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs.
Neurocomputing, 2022

EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs.
Future Gener. Comput. Syst., 2022

Query-as-context Pre-training for Dense Passage Retrieval.
CoRR, 2022

ConTextual Mask Auto-Encoder for Dense Passage Retrieval.
CoRR, 2022

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks.
CoRR, 2022

Multimodal Hateful Memes Detection via Image Caption Supervision.
Proceedings of the IEEE Smartworld, 2022

A Language-Agnostic Framework with Bidirectional Syntactic Graph Convolutional Networks for Cross-Lingual Aspect Term Extraction.
Proceedings of the IEEE Smartworld, 2022

Deception Detection Towards Multi-turn Question Answering with Context Selector Network.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Multimodal Hate Speech Detection via Cross-Domain Knowledge Transfer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improving disk failure detection accuracy via data augmentation.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

HELoC: hierarchical contrastive learning of source code representation.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

UFI: A Unified Feature Interaction Framework for Multi-Label Image Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SEGP: Stance-Emotion Joint Data Augmentation with Gradual Prompt-Tuning for Stance Detection.
Proceedings of the Computational Science - ICCS 2022, 2022

Cross-Layer Aggregation with Transformers for Multi-Label Image Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Knowledge/Data Enhanced Method for Joint Event and Temporal Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2022

Emotionflow: Capture the Dialogue Level Emotion Transitions.
Proceedings of the IEEE International Conference on Acoustics, 2022

InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

CLZT: A Contrastive Learning Based Framework for Zero-Shot Text Classification.
Proceedings of the Database Systems for Advanced Applications, 2022

Smoothed Contrastive Learning for Unsupervised Sentence Embedding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Unified Propagation Forest-based Framework for Fake News Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning.
Neural Networks, 2021

Embedding API dependency graph for neural code generation.
Empir. Softw. Eng., 2021

DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings.
CoRR, 2021

Smoothed Contrastive Learning for Unsupervised Sentence Embedding.
CoRR, 2021

Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU.
Concurr. Comput. Pract. Exp., 2021

PEN4Rec: Preference Evolution Networks for Session-Based Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2021

SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deep Reinforcement Learning based Optimization of Battery Charging and Discharging Management for Data Center.
Proceedings of the International Joint Conference on Neural Networks, 2021

Discovering the Style Information in Texts via A Reinforced Decision Process.
Proceedings of the International Joint Conference on Neural Networks, 2021

Data Augmentation for Copy-Mechanism in Dialogue State Tracking.
Proceedings of the Computational Science - ICCS 2021, 2021

Unsupervised Text Style Transfer via an Enhanced Operation Pipeline.
Proceedings of the Computational Science - ICCS 2021, 2021

Grasp the Key: Towards Fast and Accurate Host-Based Intrusion Detection in Data Centers.
Proceedings of the Computational Science - ICCS 2021, 2021

TS-Bert: Time Series Anomaly Detection via Pre-training Model Bert.
Proceedings of the Computational Science - ICCS 2021, 2021

Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Aligning the training and evaluation of unsupervised text style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2021

Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Entity and Relation Matching Consensus for Entity Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Label-Specific Dual Graph Neural Network for Multi-Label Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Yet another approach to understanding news event evolution.
World Wide Web, 2020

Point or Generate Dialogue State Tracker.
CoRR, 2020

Pre-training Text Representations as Meta Learning.
CoRR, 2020

Data Augmentation for Copy-Mechanism in Dialogue State Tracking.
CoRR, 2020

Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Graph Convolutional Networks for Target-oriented Opinion Words Extraction with Adversarial Training.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Rating Bias Formulation based on Fuzzy Set for Recommendation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Accelerating Distributed Deep Learning By Adaptive Gradient Quantization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Structural Position Network for Aspect-Based Sentiment Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

A Lightweight Energy-Efficient Computational Offloading Scheme in Mobile Edge Computing.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Time Series Anomaly Detection Based on Language Model.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 2020

Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Integrating External Event Knowledge for Script Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Event-Oriented Neural Ranking Model for News Retrieval.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Symmetric Metric Learning with Adaptive Margin for Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
TransSent: Towards Generation of Structured Sentences with Discourse Marker.
CoRR, 2019

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer.
CoRR, 2019

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Deep Neural Networks.
CoRR, 2019

An Attention-based Model for Joint Extraction of Entities and Relations with Implicit Entity Features.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

A Multimodal Text Matching Model for Obfuscated Language Identification in Adversarial Communication?
Proceedings of the World Wide Web Conference, 2019

A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster.
Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

LMLSTM: Extract Event-Oriented Keyphrase From News Stream.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Mask and Infill: Applying Masked Language Model for Sentiment Transfer.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bridging Server and Cooling: Toward Effective Energy Management in Data Centers.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

Fusion Convolutional Attention Network for Opinion Spam Detection.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

SPL: Exploiting Unlabeled Data for Multi-label Image Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Self-Representation Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Learning Review Representations from user and Product Level Information for Spam Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks.
Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Event-Oriented Keyphrase Extraction Based on Bi-clustering Model.
Proceedings of the Computational Science - ICCS 2019, 2019

Conditional BERT Contextual Augmentation.
Proceedings of the Computational Science - ICCS 2019, 2019

MLP-IA: Multi-label User Profile Based on Implicit Association Labels.
Proceedings of the Computational Science - ICCS 2019, 2019

Sockpuppet Detection in Social Network via Propagation Tree.
Proceedings of the Computational Science - ICCS 2019, 2019

Imbalanced Sentiment Classification Enhanced with Discourse Marker.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

ESA: Entity Summarization with Attention.
Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019

Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships.
Proceedings of the Database Systems for Advanced Applications, 2019

SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Fuzzy Set Based Approach for Rating Bias.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Efficient Dynamic Evolution of Service Composition.
IEEE Trans. Serv. Comput., 2018

Performance Evaluation and Optimization of Multi-Dimensional Indexes in Hive.
IEEE Trans. Serv. Comput., 2018

A Fresh Look at Understanding News Events Evolution.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

An Interactivity-Based Personalized Mutual Reinforcement Model for Microblog Topic Summarization.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

An Online Sockpuppet Detection Method Based on Subgraph Similarity Matching.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

CGAN Based Cloud Computing Server Power Curve Generating.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Spatial- Temporal Attention for Image Captioning.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017
Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers.
IEEE Trans. Cloud Comput., 2017

KIEM: A Knowledge Graph based Method to Identify Entity Morphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2015
QMapper for Smart Grid: Migrating SQL-based Application to Hive.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

DualTable: A hybrid storage model for update optimization in Hive.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Congestion Avoidance with Incremental Filter Aggregation in Content-Based Routing Networks.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
Top K Query for QoS-Aware Automatic Service Composition.
IEEE Trans. Serv. Comput., 2014

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index.
Proc. VLDB Endow., 2014

DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index.
CoRR, 2014

DualTable: A Hybrid Storage Model for Update Optimization in Hive.
CoRR, 2014

APISynth: a new graph-based API recommender system.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
QoS-aware and multi-granularity service composition.
Inf. Syst. Frontiers, 2013

QMapper: a tool for SQL optimization on hive using query rewriting.
Proceedings of the 22nd International World Wide Web Conference, 2013

Queue reorganization for subscription congestion avoidance in publish/subscribe systems.
Proceedings of the IEEE 32nd International Performance Computing and Communications Conference, 2013

Queue Reorganization for Subscription Congestion Avoidance in Publish/Subscribe Systems.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

Risk management for virtual machines consolidation in data centers.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

2012
Large-Scale Longitudinal Analysis of SOAP-Based and RESTful Web Services.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Continuous Query for QoS-Aware Automatic Service Composition.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Community Clustering for Distributed Publish/Subscribe Systems.
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011
QoS-Aware Automatic Service Composition: A Graph View.
J. Comput. Sci. Technol., 2011

2010
Covering-Based Routing Algorithms for Cyclic Content-Based P/S Overlays.
J. Comput. Sci. Technol., 2010

Two-phase graph search algorithm for QoS-aware automatic service composition.
Proceedings of the IEEE International Conference on Service-Oriented Computing and Applications, 2010

G-Finder: routing programming questions closer to the experts.
Proceedings of the 25th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2010

QSynth: A Tool for QoS-aware Automatic Service Composition.
Proceedings of the IEEE International Conference on Web Services, 2010

2009
Effective Pruning Algorithm for QoS-Aware Service Composition.
Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, 2009

Transactional Mobility in Distributed Content-Based Publish/Subscribe Systems.
Proceedings of the 29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 2009

Covering-Based Routing Algorithms for Cyclic Content-Based P/S System.
Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009

Efficient event-based resource discovery.
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, 2009

2008
ASCSS: An Automatic Service Composition Approach Based on Service Similarity.
Proceedings of the Fourth International Conference on Semantics, Knowledge and Grid, 2008

MAPLE: a Maintenance Approach for Pattern-enabLed rEconfiguration of SOA-based Enterprise Application.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

Distributed automatic service composition in large-scale systems.
Proceedings of the Second International Conference on Distributed Event-Based Systems, 2008

2007
Historic data access in publish/subscribe.
Proceedings of the 2007 Inaugural International Conference on Distributed Event-Based Systems, 2007

2004
A Service Interoperability Assessment Model for Service Composition.
Proceedings of the 2004 IEEE International Conference on Services Computing (SCC 2004), 2004

2002
A Uniform Model for Authorization and Access Control in Enterprise Information Platform.
Proceedings of the Engineering and Deployment of Cooperative Information Systems, 2002


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