Shihao Ji

Orcid: 0000-0002-3573-5379

Affiliations:
  • University of Connecticut, Storrs, CT, USA
  • Georgia State University, Atlanta, GA, USA


According to our database1, Shihao Ji authored at least 56 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng., September, 2024

UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles.
CoRR, 2024

LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs.
CoRR, 2024

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks.
CoRR, 2024

A Hybrid Generative and Discriminative PointNet on Unordered Point Sets.
CoRR, 2024

Unsqueeze [CLS] Bottleneck to Learn Rich Representations.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Energy-Efficient Llama2 Architecture on Embedded FPGAs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Sparse Graph Attention Networks.
IEEE Trans. Knowl. Data Eng., 2023

M-EBM: Towards Understanding the Manifolds of Energy-Based Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

FLSL: Feature-level Self-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Bridging the Performance Gaps of Joint Energy-Based Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence.
CoRR, 2022

Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model.
CoRR, 2022

ChiTransformer: Towards Reliable Stereo from Cues.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

APSNet: Attention Based Point Cloud Sampling.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Adversarial Privacy-Preserving Graph Embedding Against Inference Attack.
IEEE Internet Things J., 2021

Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection.
CoRR, 2021

Human Activity Recognition from RGB Video Streams Using 1D-CNNs.
Proceedings of the 2021 IEEE SmartWorld, 2021

Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Dep-L<sub>0</sub>: Improving L<sub>0</sub>-Based Network Sparsification via Dependency Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Neural Plasticity Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

JEM++: Improved Techniques for Training JEM.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Text-to-Image Synthesis Using Contrastive Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Generative Dynamic Patch Attack.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention.
CoRR, 2020

Neural Image Compression and Explanation.
IEEE Access, 2020

Learning with Multiplicative Perturbations.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Parallelizing Word2Vec in Shared and Distributed Memory.
IEEE Trans. Parallel Distributed Syst., 2019

L<sub>0</sub>-ARM: Network Sparsification via Stochastic Binary Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Toward Filament Segmentation Using Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies.
Proceedings of the 4th International Conference on Learning Representations, 2016

Parallelizing Word2Vec in Multi-Core and Many-Core Architectures.
CoRR, 2016

WordRank: Learning Word Embeddings via Robust Ranking.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2011
Intent-based diversification of web search results: metrics and algorithms.
Inf. Retr., 2011

2010
User behavior driven ranking without editorial judgments.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Multitask Compressive Sensing.
IEEE Trans. Signal Process., 2009

Semisupervised Learning of Hidden Markov Models via a Homotopy Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Comparing both relevance and robustness in selection of web ranking functions.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Global ranking by exploiting user clicks.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Empirical Exploitation of Click Data for Task Specific Ranking.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Incorporating robustness into web ranking evaluation.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Bayesian Compressive Sensing.
IEEE Trans. Signal Process., 2008

Multitask Classification by Learning the Task Relevance.
IEEE Signal Process. Lett., 2008

2007
Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes.
IEEE Trans. Signal Process., 2007

Adaptive Multimodality Sensing of Landmines.
IEEE Trans. Geosci. Remote. Sens., 2007

Cost-sensitive feature acquisition and classification.
Pattern Recognit., 2007

Bayesian compressive sensing and projection optimization.
Proceedings of the Machine Learning, 2007

Point-Based Policy Iteration.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004
Adaptive multi-aspect target classification and detection with hidden Markov models.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


  Loading...