Zhang, Jiong

11 publications

ICML 2023 PINA: Leveraging Side Information in eXtreme Multi-Label Classification via Predicted Instance Neighborhood Aggregation Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu

ICML 2023 Representer Point Selection for Explaining Regularized High-Dimensional Models Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar

ICLR 2022 Node Feature Extraction by Self-Supervised Multi-Scale Neighborhood Prediction Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S Dhillon

JMLR 2022 PECOS: Prediction for Enormous and Correlated Output Spaces Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon

NeurIPS 2021 Fast Multi-Resolution Transformer Fine-Tuning for Extreme Multi-Label Text Classification Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon

NeurIPS 2019 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks Jiong Zhang, Hsiang-Fu Yu, Inderjit S Dhillon

AISTATS 2019 Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S.V.N. Vishwanathan, Inderjit Dhillon

ICML 2018 Learning Long Term Dependencies via Fourier Recurrent Units Jiong Zhang, Yibo Lin, Zhao Song, Inderjit Dhillon

ICML 2018 Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization Jiong Zhang, Qi Lei, Inderjit Dhillon

AISTATS 2017 Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition Jiong Zhang, Ian En-Hsu Yen, Pradeep Ravikumar, Inderjit S. Dhillon

ICML 2016 A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery Ian En-Hsu Yen, Xin Lin, Jiong Zhang, Pradeep Ravikumar, Inderjit Dhillon