Ji, Shihao

15 publications

NeurIPS 2025 Uni-LoRA: One Vector Is All You Need Kaiyang Li, Shaobo Han, Qing Su, Wei Li, Zhipeng Cai, Shihao Ji

NeurIPS 2024 UAV3D: A Large-Scale 3D Perception Benchmark for Unmanned Aerial Vehicles Hui Ye, Rajshekhar Sunderraman, Shihao Ji

ECCV 2024 Unsqueeze [CLS] Bottleneck to Learn Rich Representations Qing Su, Shihao Ji

NeurIPS 2024 VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks Yang Li, Shaobo Han, Shihao Ji

NeurIPS 2023 FLSL: Feature-Level Self-Supervised Learning Qing Su, Anton Netchaev, Hai Li, Shihao Ji

CVPR 2023 Towards Bridging the Performance Gaps of Joint Energy-Based Models Xiulong Yang, Qing Su, Shihao Ji

CVPR 2022 Chitransformer: Towards Reliable Stereo from Cues Qing Su, Shihao Ji

ECML-PKDD 2021 Dep-L0: Improving L0-Based Network Sparsification via Dependency Modeling Yang Li, Shihao Ji

ECML-PKDD 2021 Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji

ICCV 2021 JEM++: Improved Techniques for Training JEM Xiulong Yang, Shihao Ji

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

ECML-PKDD 2019 L0-ARM: Network Sparsification via Stochastic Binary Optimization Yang Li, Shihao Ji

ICLR 2016 BlackOut: Speeding up Recurrent Neural Network Language Models with Very Large Vocabularies Shihao Ji, S. V. N. Vishwanathan, Nadathur Satish, Michael J. Anderson, Pradeep Dubey

ICML 2007 Bayesian Compressive Sensing and Projection Optimization Shihao Ji, Lawrence Carin

AAAI 2007 Point-Based Policy Iteration Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin