Shihao Ji

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 56

Top Topics

Activity Recognition

Graph Embedding

Image Synthesis

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Yang Ye, Shihao Ji
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets. CoRR (2024)
Hui Ye, Rajshekhar Sunderraman, Shihao Ji
MatchXML: An Efficient Text-Label Matching Framework for Extreme Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Qing Su, Shihao Ji
Unsqueeze [CLS] Bottleneck to Learn Rich Representations. CoRR (2024)
Yang Li, Shaobo Han, Shihao Ji
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks. CoRR (2024)
Xiulong Yang, Qing Su, Shihao Ji
Towards Bridging the Performance Gaps of Joint Energy-Based Models. CVPR (2023)
Hui Ye, Rajshekhar Sunderraman, Shihao Ji
MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification. CoRR (2023)
Xiulong Yang, Shihao Ji
M-EBM: Towards Understanding the Manifolds of Energy-Based Models. CoRR (2023)
Xiulong Yang, Shihao Ji
M-EBM: Towards Understanding the Manifolds of Energy-Based Models. PAKDD (1) (2023)
Qing Su, Anton Netchaev, Hai Li, Shihao Ji
FLSL: Feature-level Self-supervised Learning. CoRR (2023)
Yang Ye, Shihao Ji
Sparse Graph Attention Networks. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Qing Su, Anton Netchaev, Hai Li, Shihao Ji
FLSL: Feature-level Self-supervised Learning. NeurIPS (2023)
Qing Su, Shihao Ji
ChiTransformer: Towards Reliable Stereo from Cues. CoRR (2022)
Yang Ye, Xiulong Yang, Shihao Ji
APSNet: Attention Based Point Cloud Sampling. CoRR (2022)
Yang Ye, Xiulong Yang, Shihao Ji
APSNet: Attention Based Point Cloud Sampling. BMVC (2022)
Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model. CoRR (2022)
Yang Li, Xin Ma, Raj Sunderraman, Shihao Ji, Suprateek Kundu
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence. CoRR (2022)
Xiulong Yang, Qing Su, Shihao Ji
Towards Bridging the Performance Gaps of Joint Energy-based Models. CoRR (2022)
Qing Su, Shihao Ji
ChiTransformer: Towards Reliable Stereo from Cues. CVPR (2022)
Yang Li, Shihao Ji
-Based Network Sparsification via Dependency Modeling. ECML/PKDD (3) (2021)
Krishanu Sarker, Sharbani Pandit, Anupam Sarker, Saeid Belkasim, Shihao Ji
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection. CoRR (2021)
Hui Ye, Xiulong Yang, Martin Takác, Rajshekhar Sunderraman, Shihao Ji
Improving Text-to-Image Synthesis Using Contrastive Learning. CoRR (2021)
Sivanvita Srimath, Yang Ye, Krishanu Sarker, Rajshekhar Sunderraman, Shihao Ji
Human Activity Recognition from RGB Video Streams Using 1D-CNNs. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI (2021)
Hui Ye, Xiulong Yang, Martin Takác, Rajshekhar Sunderraman, Shihao Ji
Improving Text-to-Image Synthesis Using Contrastive Learning. BMVC (2021)
Xiulong Yang, Shihao Ji
JEM++: Improved Techniques for Training JEM. CoRR (2021)
Xiang Li, Shihao Ji
Generative Dynamic Patch Attack. CoRR (2021)
Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. CoRR (2021)
Xiulong Yang, Shihao Ji
JEM++: Improved Techniques for Training JEM. ICCV (2021)
Yang Li, Shihao Ji
-based Network Sparsification via Dependency Modeling. CoRR (2021)
Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More. ECML/PKDD (2) (2021)
Yang Li, Shihao Ji
Neural Plasticity Networks. IJCNN (2021)
Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai
Adversarial Privacy-Preserving Graph Embedding Against Inference Attack. IEEE Internet Things J. 8 (8) (2021)
Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji
A Unified Density-Driven Framework For Effective Data Denoising And Robust Abstention. ICIP (2021)
Xiang Li, Shihao Ji
Generative Dynamic Patch Attack. BMVC (2021)
Xiang Li, Shihao Ji
Neural Image Compression and Explanation. IEEE Access 8 (2020)
Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai
Adversarial Privacy Preserving Graph Embedding against Inference Attack. CoRR (2020)
Krishanu Sarker, Xiulong Yang, Yang Li, Saeid Belkasim, Shihao Ji
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention. CoRR (2020)
Xiulong Yang, Shihao Ji
Learning with Multiplicative Perturbations. ICPR (2020)
Yang Li, Shihao Ji
-ARM: Network Sparsification via Stochastic Binary Optimization. CoRR (2019)
Xiulong Yang, Shihao Ji
Learning with Multiplicative Perturbations. CoRR (2019)
Xiang Li, Shihao Ji
Neural Image Compression and Explanation. CoRR (2019)
Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji
Toward Filament Segmentation Using Deep Neural Networks. CoRR (2019)
Azim Ahmadzadeh, Sushant S. Mahajan, Dustin J. Kempton, Rafal A. Angryk, Shihao Ji
Toward Filament Segmentation Using Deep Neural Networks. IEEE BigData (2019)
Yang Ye, Shihao Ji
Sparse Graph Attention Networks. CoRR (2019)
Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon
Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models. AISTATS (2019)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Shared and Distributed Memory. IEEE Trans. Parallel Distributed Syst. 30 (9) (2019)
Yang Li, Shihao Ji
-ARM: Network Sparsification via Stochastic Binary Optimization. ECML/PKDD (2) (2019)
Yang Li, Shihao Ji
Neural Plasticity Networks. CoRR (2019)
Xiang Li, Shihao Ji
Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks. PKDD/ECML Workshops (2) (2019)
Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data. ICMLA (2018)
Krishanu Sarker, Mohamed Masoud, Saeid Belkasim, Shihao Ji
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data. CoRR (2018)
Xiang Li, Shihao Ji
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks. CoRR (2018)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Shared and Distributed Memory. CoRR (2016)
Shihao Ji, Nadathur Satish, Sheng Li, Pradeep Dubey
Parallelizing Word2Vec in Multi-Core and Many-Core Architectures. CoRR (2016)
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
WordRank: Learning Word Embeddings via Robust Ranking. EMNLP (2016)
Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies. ICLR (2016)
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
WordRank: Learning Word Embeddings via Robust Ranking. CoRR (2015)
Olivier Chapelle, Shihao Ji, Ciya Liao, Emre Velipasaoglu, Larry Lai, Su-Lin Wu
Intent-based diversification of web search results: metrics and algorithms. Inf. Retr. 14 (6) (2011)
Taesup Moon, Georges Dupret, Shihao Ji, Ciya Liao, Zhaohui Zheng
User behavior driven ranking without editorial judgments. CIKM (2010)
Shihao Ji, David B. Dunson, Lawrence Carin
Multitask Compressive Sensing. IEEE Trans. Signal Process. 57 (1) (2009)
Shihao Ji, Layne T. Watson, Lawrence Carin
Semisupervised Learning of Hidden Markov Models via a Homotopy Method. IEEE Trans. Pattern Anal. Mach. Intell. 31 (2) (2009)
Xin Li, Fan Li, Shihao Ji, Zhaohui Zheng, Yi Chang, Anlei Dong
Incorporating robustness into web ranking evaluation. CIKM (2009)
Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li, Zhaohui Zheng
Empirical Exploitation of Click Data for Task Specific Ranking. EMNLP (2009)
Fan Li, Xin Li, Shihao Ji, Zhaohui Zheng
Comparing both relevance and robustness in selection of web ranking functions. SIGIR (2009)
Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha
Global ranking by exploiting user clicks. SIGIR (2009)
Jun Fang, Shihao Ji, Ya Xue, Lawrence Carin
Multitask Classification by Learning the Task Relevance. IEEE Signal Process. Lett. 15 (2008)
Shihao Ji, Ya Xue, Lawrence Carin
Bayesian Compressive Sensing. IEEE Trans. Signal Process. 56 (6) (2008)
Shihao Ji, Ronald Parr, Lawrence Carin
Nonmyopic Multiaspect Sensing With Partially Observable Markov Decision Processes. IEEE Trans. Signal Process. 55 (6-1) (2007)
Lihan He, Shihao Ji, Waymond R. Scott, Lawrence Carin
Adaptive Multimodality Sensing of Landmines. IEEE Trans. Geosci. Remote. Sens. 45 (6-2) (2007)
Shihao Ji, Lawrence Carin
Cost-sensitive feature acquisition and classification. Pattern Recognit. 40 (5) (2007)
Shihao Ji, Lawrence Carin
Bayesian compressive sensing and projection optimization. ICML (2007)
Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin
Point-Based Policy Iteration. AAAI (2007)
Shihao Ji, Balaji Krishnapuram, Lawrence Carin
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28 (4) (2006)
Nilanjan Dasgupta, Shihao Ji, Lawrence Carin
Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis. ICASSP (2) (2006)
Shihao Ji, Xuejun Liao, Lawrence Carin
Adaptive multi-aspect target classification and detection with hidden Markov models. ICASSP (2) (2004)