Linqi Song

Orcid: 0000-0003-2756-4984

According to our database1, Linqi Song authored at least 124 papers between 2014 and 2024.

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Bibliography

2024
CrossVision: Real-Time On-Camera Video Analysis via Common RoI Load Balancing.
IEEE Trans. Mob. Comput., May, 2024

Gap-Closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement.
IEEE Trans. Multim., 2024

Structure-Aware Dialogue Modeling Methods for Conversational Semantic Role Labeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner.
CoRR, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric.
CoRR, 2024

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery.
CoRR, 2024

Understanding and Patching Compositional Reasoning in LLMs.
CoRR, 2024

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.
CoRR, 2024

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning.
CoRR, 2024

Truncated Non-Uniform Quantization for Distributed SGD.
CoRR, 2024

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients.
CoRR, 2024

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.
CoRR, 2024

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation.
CoRR, 2024

3D Shape Completion on Unseen Categories: A Weakly-supervised Approach.
CoRR, 2024

2023
HEPM: High-efficiency pattern mining.
Knowl. Based Syst., December, 2023

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Special issue on non-deterministic machine learning.
J. Frankl. Inst., November, 2023

Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks.
IEEE Trans. Cogn. Commun. Netw., August, 2023

Communication Efficient Federated Learning With Heterogeneous Structured Client Models.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost.
J. Frankl. Inst., June, 2023

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.
IEEE Trans. Biomed. Eng., April, 2023

Towards efficient communications in federated learning: A contemporary survey.
J. Frankl. Inst., 2023

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.
CoRR, 2023

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning.
CoRR, 2023

CLOMO: Counterfactual Logical Modification with Large Language Models.
CoRR, 2023

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.
CoRR, 2023

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification.
CoRR, 2023

Self-Supervised Sentence Compression for Meeting Summarization.
CoRR, 2023

PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training.
CoRR, 2023

Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning.
CoRR, 2023

A Scalable Test Problem Generator for Sequential Transfer Optimization.
CoRR, 2023

Product-Matrix Construction of Minimum Storage Rack-aware Regenerating Codes.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Matrix Completion via Coded Distributed Alternating Least Squares.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

A Fast Algorithm for Finding the Roots of Polynomials over Finite Fields.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Semantic Communication Based on Entity Information Enhancement.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

A Framework of Large-Scale Peer-to-Peer Learning System.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Learning Locality and Isotropy in Dialogue Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Top- K in SGD for Communication-Efficient Distributed Learning.
Proceedings of the IEEE Global Communications Conference, 2023

Fine-grained Conversational Decoding via Isotropic and Proximal Search.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Long-Tail Item Recommendation with Graph Augmentation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

VCSUM: A Versatile Chinese Meeting Summarization Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Communication-Efficient Federated Learning with Adaptive Quantization.
ACM Trans. Intell. Syst. Technol., 2022

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems.
IEEE Trans. Evol. Comput., 2022

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning.
IEEE J. Sel. Areas Commun., 2022

Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits.
IEEE J. Sel. Areas Commun., 2022

Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey.
Digit. Signal Process., 2022

Sensing, processing, computing and networking for the era of wearables.
Digit. Signal Process., 2022

Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation.
CoRR, 2022

EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information.
Briefings Bioinform., 2022

Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Designing an Educational Chatbot with Joint Intent Classification and Slot Filling.
Proceedings of the IEEE International Conference on Teaching, 2022

An NLP-Empowered Virtual Course Assistant for Online Teaching and Learning.
Proceedings of the IEEE International Conference on Teaching, 2022

Hiding Images in Deep Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Zero-shot Cross-lingual Conversational Semantic Role Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.
Proceedings of the International Joint Conference on Neural Networks, 2022

Vehicle-Key: A Secret Key Establishment Scheme for LoRa-enabled IoV Communications.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Federated Multi-Armed Bandits With Vector Rewards for Aspect-Based Recommendations.
Proceedings of the IEEE Global Communications Conference, 2022

HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Data Encoding for Byzantine-Resilient Distributed Optimization.
IEEE Trans. Inf. Theory, 2021

Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning.
IEEE Trans. Green Commun. Netw., 2021

Conversational Semantic Role Labeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

A Pattern and POS Auto-Learning Method for Terminology Extraction from Scientific Text.
Data Inf. Manag., 2021

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering.
CoRR, 2021

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information.
CoRR, 2021

A Whittle Index Approach to Minimizing Age of Multi-Packet Information in IoT Network.
IEEE Access, 2021

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Coded Alternating Least Squares for Straggler Mitigation in Distributed Recommendations.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Live Gradient Compensation for Evading Stragglers in Distributed Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Predicting Downside in Stock Market Using Knowledge and News Data.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

K-CSRL: Knowledge Enhanced Conversational Semantic Role Labeling.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Racial Bias During "Black Lives Matter": How Social Movement Reshapes Airbnb Host Performance.
Proceedings of the 42nd International Conference on Information Systems, 2021

On Coded Broadcasting for Wireless Recommendation Systems.
Proceedings of the ICC 2021, 2021

CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Domain-Adaptive Pretraining Methods for Dialogue Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Risk-Aware Edge Computation Offloading Using Bayesian Stackelberg Game.
IEEE Trans. Netw. Serv. Manag., 2020

Collaborative Content Placement Among Wireless Edge Caching Stations With Time-to-Live Cache.
IEEE Trans. Multim., 2020

A Pliable Index Coding Approach to Data Shuffling.
IEEE Trans. Inf. Theory, 2020

Privacy in Index Coding: $k$ -Limited-Access Schemes.
IEEE Trans. Inf. Theory, 2020

Minimizing Age of Information With Power Constraints: Multi-User Opportunistic Scheduling in Multi-State Time-Varying Channels.
IEEE J. Sel. Areas Commun., 2020

Coded Caching with Heterogeneous User Groups.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Enhancing Deep Multimedia Recommendations Using Graph Embeddings.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Federated Recommendation System via Differential Privacy.
Proceedings of the IEEE International Symposium on Information Theory, 2020

On Secrecy Key of a class of Secure Asymmetric Multilevel Diversity Coding System.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Minimizing Age of Information with Power Constraints: Opportunistic Scheduling in Multi-State Time-Varying Networks.
CoRR, 2019

The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost.
CoRR, 2019

Equivariant neural networks and equivarification.
CoRR, 2019

Deep Reinforcement Learning Based Residential Demand Side Management With Edge Computing.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Interactions Between Learning and Broadcasting in Wireless Recommendation Systems.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Data Encoding Methods for Byzantine-Resilient Distributed Optimization.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Preventing Malware Propagation in D2D Offloading Networks with Strategic Mobile Users.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading.
Proceedings of the 6th ACM Workshop on Moving Target Defense, 2019

Scheduling to Minimize Age of Information in Multi-State Time-Varying Networks with Power Constraints.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Making Recommendations Bandwidth Aware.
IEEE Trans. Inf. Theory, 2018

A Polynomial-Time Algorithm for Pliable Index Coding.
IEEE Trans. Inf. Theory, 2018

Regret vs. Bandwidth Trade-off for Recommendation Systems.
CoRR, 2018

Recommender Systems over Wireless: Challenges and Opportunities.
Proceedings of the IEEE Information Theory Workshop, 2018

Dynamic Edge Caching with Popularity Drifting.
Proceedings of the IEEE Information Theory Workshop, 2018

A Binary Randomized Coding Scheme for Pliable Index Coding with Multiple Requests.
Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

Distributed Computing Trade-offs with Random Connectivity.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Privacy in Index Coding: Improved Bounds and Coding Schemes.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Data Encoding for Byzantine-Resilient Distributed Gradient Descent.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Content-Type Coding.
PhD thesis, 2017

A Pliable Index Coding Approach to Data Shuffling.
CoRR, 2017

A Contextual Bandit Approach for Stream-Based Active Learning.
CoRR, 2017

The benefit of being flexible in distributed computation.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Preserving privacy while broadcasting: K-limited-access schemes.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

Private Broadcasting: An index coding approach.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Online Learning in Large-Scale Contextual Recommender Systems.
IEEE Trans. Serv. Comput., 2016

Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening.
IEEE J. Biomed. Health Informatics, 2016

Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors.
IEEE J. Sel. Top. Signal Process., 2016

A Deterministic Algorithm for Pliable Index Coding.
CoRR, 2016

Stream-based Online Active Learning in a Contextual Multi-Armed Bandit Framework.
CoRR, 2016

2015
Content-type coding.
Proceedings of the 2015 International Symposium on Network Coding, 2015

2014
Demand Side Management in Smart Grids Using a Repeated Game Framework.
IEEE J. Sel. Areas Commun., 2014

Non-stationary demand side management method for smart grids.
Proceedings of the IEEE International Conference on Acoustics, 2014

Clustering based online learning in recommender systems: A bandit approach.
Proceedings of the IEEE International Conference on Acoustics, 2014

Context-driven online learning for activity classification in wireless health.
Proceedings of the IEEE Global Communications Conference, 2014


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