Tianshi Gao

22 papers A* 4Journal 7Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
EEG-Based Validation of Neural Response Similarity Between Vibration and Electrical Stimulation for Virtual Tactile Feedback.
IEEE Trans. Haptics
Tianshi Gao, Jiahui Jiang, Xiaoyun Sun, Guosheng Yi, Zhenxi Song, Jixuan Wang
2025 A* conf
DriveGPT: Scaling Autoregressive Behavior Models for Driving.
ICML
Xin Huang, Eric M. Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S. Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha S. Srinivasa
2024 J jnl
DriveGPT: Scaling Autoregressive Behavior Models for Driving.
CoRR
Xin Huang, Eric M. Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S. Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha S. Srinivasa
2024 J jnl
Multi-origins of pathological theta oscillation from neuron to network inferred by a combined data and model study with cubature Kalman filter.
Commun. Nonlinear Sci. Numer. Simul.
Jixuan Wang, Bin Deng, Jiang Wang, Lei Xiang, Tianshi Gao, Haitao Yu, Chen Liu
2023 J jnl
Deep Learning Depends on Segregated Dendritic Compartments and Spike Frequency Adaptation.
IEEE Trans. Instrum. Meas.
Jixuan Wang, Bin Deng, Tianshi Gao, Jiang Wang, Guosheng Yi, Chen Liu
2023 — conf
Fast and accurate object recognition based on tactile data by using Dendrite Net.
I2MTC
Haonan Liang, Tianshi Gao, Tian Gao, Jiangtao Luo, Jiang Wang, Bin Deng
2023 — conf
Multi-compartment structure optimizes the deep learning network from the biophysical perspective.
I2MTC
Jixuan Wang, Bin Deng, Tianshi Gao, Bo Gong, Weitong Liu, Jiang Wang, Chen Liu
2022 — conf
Bio-inspired computing: A deep learning algorithm with the spike-frequency adaptation.
I2MTC
Jixuan Wang, Bin Deng, Tianshi Gao, Jiang Wang, Guosheng Yi
2022 J jnl
Modulation of cortical oscillations by periodic electrical stimulation is frequency-dependent.
Commun. Nonlinear Sci. Numer. Simul.
Jixuan Wang, Bin Deng, Tianshi Gao, Jiang Wang, Chen Liu
2022 J jnl
Multi-scale convolutional neural network for texture recognition.
Displays
Xile Wei, Benyong Hu, Tianshi Gao, Jiang Wang, Bin Deng
2022 — conf
Multi-task learning: A solution of small sample size problem in floor-based gait recognition.
I2MTC
Bin Deng, Jiangtao Luo, Tianshi Gao, Zijian Cui, Jiang Wang
2022 — conf
Recognition of complex surfaces based on multiscale temporal networks.
I2MTC
Tianshi Gao, Bin Deng, Jiangtao Luo, Jixuan Wang, Jiang Wang, Guosheng Yi
2022 J jnl
The passive properties of dendrites modulate the propagation of slowly-varying firing rate in feedforward networks.
Neural Networks
Tianshi Gao, Bin Deng, Jixuan Wang, Jiang Wang, Guosheng Yi
2012 — conf
What Makes a Good Detector? - Structured Priors for Learning from Few Examples.
ECCV (5)
Tianshi Gao, Michael Stark, Daphne Koller
2011 A* conf
A segmentation-aware object detection model with occlusion handling.
CVPR
Tianshi Gao, Benjamin Packer, Daphne Koller
2011 — conf
Active Classification based on Value of Classifier.
NIPS
Tianshi Gao, Daphne Koller
2011 A* conf
Discriminative learning of relaxed hierarchy for large-scale visual recognition.
ICCV
Tianshi Gao, Daphne Koller
2011 A* conf
Multiclass Boosting with Hinge Loss based on Output Coding.
ICML
Tianshi Gao, Daphne Koller
2009 — conf
Region-based Segmentation and Object Detection.
NIPS
Stephen Gould, Tianshi Gao, Daphne Koller
2009 — conf
Self lane assignment using egocentric smart mobile camera for intelligent GPS navigation.
CVPR Workshops
Tianshi Gao, Hamid K. Aghajan
2009 — conf
User-centric speaker report: Ranking-based effectiveness evaluation and feedback.
ICCV Workshops
Tianshi Gao, Chen Wu, Hamid Aghajan
2007 — conf
Load-Balanced Cluster-Based Cooperative MIMO Transmission for Wireless Sensor Networks.
ISWCS
Tianshi Gao, Lin Zhang, Yi Gai, Xiuming Shan