Qi, Yanjun

27 publications

ICLRW 2024 A Closer Look at Adversarial Suffix Learning for Jailbreaking LLMs Zhe Wang, Yanjun Qi

TMLR 2024 Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos

CVPRW 2023 Estimating and Maximizing Mutual Information for Knowledge Distillation Aman Shrivastava, Yanjun Qi, Vicente Ordonez

AAAI 2023 Improving Interpretability via Explicit Word Interaction Graph Layer Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi

NeurIPSW 2023 Latent Skill Discovery for Chain-of-Thought Reasoning Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi

ICLR 2023 PGrad: Learning Principal Gradients for Domain Generalization Zhe Wang, Jake Grigsby, Yanjun Qi

AISTATS 2022 Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge Arshdeep Sekhon, Zhe Wang, Yanjun Qi

UAI 2022 ST-MAML : A Stochastic-Task Based Method for Task-Heterogeneous Meta-Learning Zhe Wang, Jake Grigsby, Arshdeep Sekhon, Yanjun Qi

AAAI 2021 Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez

CVPR 2021 General Multi-Label Image Classification with Transformers Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi

NeurIPSW 2021 Towards Automatic Actor-Critic Solutions to Continuous Control Jake Grigsby, Jin Yong Yoo, Yanjun Qi

ECML-PKDD 2019 Neural Message Passing for Multi-Label Classification Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi

ICML 2018 A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models Beilun Wang, Arshdeep Sekhon, Yanjun Qi

AISTATS 2018 Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure Beilun Wang, Arshdeep Sekhon, Yanjun Qi

MLJ 2017 A Constrained $\ell $ ℓ 1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models Beilun Wang, Ritambhara Singh, Yanjun Qi

AISTATS 2017 A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models Beilun Wang, Ji Gao, Yanjun Qi

ICLR 2017 A Theoretical Framework for Robustness of (Deep) Classifiers Against Adversarial Samples Beilun Wang, Ji Gao, Yanjun Qi

NeurIPS 2017 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi

ICLR 2017 DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples Ji Gao, Beilun Wang, Zeming Lin, Weilin Xu, Yanjun Qi

ECML-PKDD 2017 GaKCo: A Fast Gapped K-Mer String Kernel Using Counting Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi

ICLR 2017 Memory Matching Networks for Genomic Sequence Classification Jack Lanchantin, Ritambhara Singh, Yanjun Qi

AAAI 2016 MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction Zeming Lin, Jack Lanchantin, Yanjun Qi

ICLR 2014 Unsupervised Feature Learning by Deep Sparse Coding Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi

NeurIPS 2012 Learning the Dependency Structure of Latent Factors Yunlong He, Yanjun Qi, Koray Kavukcuoglu, Haesun Park

ECML-PKDD 2012 Sentiment Classification with Supervised Sequence Embedding Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh

ECML-PKDD 2010 Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning

NeurIPS 2009 Polynomial Semantic Indexing Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri