Yilin Shen

According to our database1, Yilin Shen authored at least 120 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Efficient Layout-Guided Image Inpainting for Mobile Use.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Token Fusion: Bridging the Gap between Token Pruning and Token Merging.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Compositional Generalization in Spoken Language Understanding.
CoRR, 2023

Prompt Tuning for Zero-shot Compositional Learning.
CoRR, 2023

Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters.
CoRR, 2023

TrojPrompt: A Black-box Trojan Attack on Pre-trained Language Models.
CoRR, 2023

Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA.
CoRR, 2023

TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation.
Proceedings of the International Conference on Machine Learning, 2023

Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

To Wake-Up or Not to Wake-Up: Reducing Keyword False Alarm by Successive Refinement.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improved Mask-Based Neural Beamforming for Multichannel Speech Enhancement by Snapshot Matching Masking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Low-rank Estimation for Transformer-based Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

One-stage Progressive Dichotomous Segmentation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Numerical Optimizations for Weighted Low-rank Estimation on Language Model.
CoRR, 2022

A Closer Look at Knowledge Distillation with Features, Logits, and Gradients.
CoRR, 2022

MGA-VQA: Multi-Granularity Alignment for Visual Question Answering.
CoRR, 2022

DictFormer: Tiny Transformer with Shared Dictionary.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Language model compression with weighted low-rank factorization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Numerical Optimizations for Weighted Low-rank Estimation on Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Lite-MDETR: A Lightweight Multi-Modal Detector.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Text-Based Interactive Recommendation via Offline Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data.
CoRR, 2021

An Adversarial Learning based Multi-Step Spoken Language Understanding System through Human-Computer Interaction.
CoRR, 2021

Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Automatic Mixed-Precision Quantization Search of BERT.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SAFENet: A Secure, Accurate and Fast Neural Network Inference.
Proceedings of the 9th International Conference on Learning Representations, 2021

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An End-To-End Actor-Critic-Based Neural Coreference Resolution System.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Step Spoken Language Understanding System Based on Adversarial Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A New Concept of Multiple Neural Networks Structure Using Convex Combination.
IEEE Trans. Neural Networks Learn. Syst., 2020

Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN.
CoRR, 2020

Reward Constrained Interactive Recommendation with Natural Language Feedback.
CoRR, 2020

Customizable and Rigorous Location Privacy through Policy Graph.
CoRR, 2020

Activity Recommendation: Optimizing Life in the Long Term.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications, 2020

An Interactive Adversarial Reward Learning-Based Spoken Language Understanding System.
Proceedings of the Interspeech 2020, 2020

A BI-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph.
Proceedings of the Computer Security - ESORICS 2020, 2020

Generating Dialogue Responses from a Semantic Latent Space.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Towards Hands-Free Visual Dialog Interactive Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded.
CoRR, 2019

A Legged Device Based on Active Buffering for Probe Landing on Micro-gravitational Asteroid.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SkillBot: Towards Automatic Skill Development via User Demonstration.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Teach Once and Use Everywhere - Building AI Assistant Eco-Skills via User Instruction and Demonstration.
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Visual Dialog Augmented Interactive Recommender System.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Interpreting and Improving Deep Neural SLU Models via Vocabulary Importance.
Proceedings of the Interspeech 2019, 2019

Iterative Delexicalization for Improved Spoken Language Understanding.
Proceedings of the Interspeech 2019, 2019

Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SLiQA-I: Towards Cold-start Development of End-to-end Spoken Language Interface for Question Answering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Adversarial Multi-label Prediction for Spoken and Visual Signal Tagging.
Proceedings of the IEEE International Conference on Acoustics, 2019

CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

A Progressive Model to Enable Continual Learning for Semantic Slot Filling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A New Concept of Convex based Multiple Neural Networks Structure.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention.
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.
CoRR, 2018

User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks.
CoRR, 2018

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning.
CoRR, 2018

Accelerating Time Series Searching with Large Uniform Scaling.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Interactive recommendation via deep neural memory augmented contextual bandits.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

A Bi-Model Based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU).
Proceedings of the Interspeech 2018, 2018

User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks.
Proceedings of the Interspeech 2018, 2018

Robust Spoken Language Understanding via Paraphrasing.
Proceedings of the Interspeech 2018, 2018

Training Recurrent Neural Network through Moment Matching for NLP Applications.
Proceedings of the Interspeech 2018, 2018

Learning Out-of-Vocabulary Words in Intelligent Personal Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarial Active Learning for Sequences Labeling and Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

CRUISE: Cold-Start New Skill Development via Iterative Utterance Generation.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017
PCASA: Proximity Based Continuous and Secure Authentication of Personal Devices.
Proceedings of the 14th Annual IEEE International Conference on Sensing, 2017

Secure Pick Up: Implicit Authentication When You Start Using the Smartphone.
Proceedings of the 22nd ACM on Symposium on Access Control Models and Technologies, 2017

Disguise Adversarial Networks for Click-through Rate Prediction.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Searching Time Series with Invariance to Large Amounts of Uniform Scaling.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Robustness of power-law networks: its assessment and optimization.
J. Comb. Optim., 2016

DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model.
CoRR, 2016

I<sup>2</sup>Rec: An Iterative and Interactive Recommendation System for Event-Based Social Networks.
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016

Differentially Private User Data Perturbation with Multi-level Privacy Controls.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

EpicRec: Towards Practical Differentially Private Framework for Personalized Recommendation.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Private Analysis of Infinite Data Streams via Retroactive Grouping.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Staying safe and visible via message sharing in online social networks.
J. Comb. Optim., 2014

On the approximability of positive influence dominating set in social networks.
J. Comb. Optim., 2014

Defending against user identity linkage attack across multiple online social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Privacy-Preserving Personalized Recommendation: An Instance-Based Approach via Differential Privacy.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Connect the dots by understanding user status and transitions.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Approximation Algorithms for Optimization Problems in Random Power-Law Graphs.
Proceedings of the Combinatorial Optimization and Applications, 2014

Controllable Information Sharing for User Accounts Linkage across Multiple Online Social Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Detecting Critical Nodes in Interdependent Power Networks for Vulnerability Assessment.
IEEE Trans. Smart Grid, 2013

On the Discovery of Critical Links and Nodes for Assessing Network Vulnerability.
IEEE/ACM Trans. Netw., 2013

Efficient Multi-Link Failure Localization Schemes in All-Optical Networks.
IEEE Trans. Commun., 2013

Adaptive approximation algorithms for hole healing in hybrid wireless sensor networks.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Network vulnerability assessment under cascading failures.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

Assessing network vulnerability in a community structure point of view.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
A Trigger Identification Service for Defending Reactive Jammers in WSN.
IEEE Trans. Mob. Comput., 2012

New techniques for approximating optimal substructure problems in power-law graphs.
Theor. Comput. Sci., 2012

Adaptive algorithms for detecting critical links and nodes in dynamic networks.
Proceedings of the 31st IEEE Military Communications Conference, 2012

An efficient spectral bound for link vulnerability assessment in large-scale networks.
Proceedings of the 31st IEEE Military Communications Conference, 2012

Maximizing circle of trust in online social networks.
Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

Interest-matching information propagation in multiple online social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

The walls have ears: optimize sharing for visibility and privacy in online social networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A Novel Approach Against Reactive Jamming Attacks.
Ad Hoc Sens. Wirel. Networks, 2011

On local approximation of minimum-latency broadcast scheduling in 3D MANETs.
Proceedings of the MILCOM 2011, 2011

Exploiting the Robustness on Power-Law Networks.
Proceedings of the Computing and Combinatorics - 17th Annual International Conference, 2011

2010
On approximation of dominating tree in wireless sensor networks.
Optim. Lett., 2010

A Graph-Theoretic QoS-Aware Vulnerability Assessment for Network Topologies.
Proceedings of the Global Communications Conference, 2010

On the Hardness and Inapproximability of Optimization Problems on Power Law Graphs.
Proceedings of the Combinatorial Optimization and Applications, 2010

2009
Reactive jamming attacks in multi-radio wireless sensor networks: an efficient mitigating measure by identifying trigger nodes.
Proceedings of the 2nd ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing, 2009

On trigger detection against reactive Jamming Attacks: A clique-independent set based approach.
Proceedings of the 28th International Performance Computing and Communications Conference, 2009

Electric Heating Cable Fault Locating System Based on Neural Network.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
A Device for Fault Testing of the Underground Electric Heating Cable.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2005
Replicating Multithreaded Web Services.
Proceedings of the Parallel and Distributed Processing and Applications, 2005

A Middleware for Replicated Web Services.
Proceedings of the 2005 IEEE International Conference on Web Services (ICWS 2005), 2005


  Loading...