Jiang Su

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Recall Precision

Routing Protocol

Top Venues

Publications

Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Trans. Neural Networks Learn. Syst. 32 (12) (2021)
Changxin Huang, Jiang Su, Zhihong Zhang, Dong Zhao, Liang Lin
Hybrid and dynamic policy gradient optimization for bipedal robot locomotion. CoRR (2021)
Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. ECCV (2) (2020)
Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. CoRR (2020)
Huamei Qi, Jiang Tao, Jiang Su, Zhiwen Zeng, Wangping Xiong
QoS adaptive and energy aware cross-layer opportunistic routing protocol in wireless sensor networks. IET Commun. 13 (8) (2019)
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic. ARC (2018)
Huamei Qi, Fengqi Liu, Tailong Xiao, Jiang Su
A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks. Algorithms 11 (8) (2018)
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic. CoRR (2018)
Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification. ARC (2018)
Hongyu Guo, Colin Cherry, Jiang Su
End-to-End Multi-View Networks for Text Classification. CoRR (2017)
Huamei Qi, Tailong Xiao, Anfeng Liu, Jiang Su
Toward Energy-Efficient and Robust Clustering Algorithm on Mobile Ad Hoc Sensor Networks. COCOA (2) (2017)
Jiang Su, David B. Thomas, Peter Y. K. Cheung
Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout. FCCM (2016)
Jiang Su, Jianxiong Liu, David B. Thomas, Peter Y. K. Cheung
Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms. SIGARCH Comput. Archit. News 44 (4) (2016)
Jiang Su, Le Dong, Peng Ren, Edwin R. Hancock
Hypergraph matching based on Marginalized Constrained Compatibility. ICPR (2012)
Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Jiang Su
Improving multi-view semi-supervised learning with agreement-based sampling. Intell. Data Anal. 16 (5) (2012)
Jiang Su, Jelber Sayyad Shirab, Stan Matwin
Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. ICML (2011)
Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Jiang Su
Improving Co-training with Agreement-Based Sampling. RSCTC (2010)
Jiang Su, Jelber Sayyad-Shirabad, Stan Matwin, Jin Huang
Active Learning with Automatic Soft Labeling for Induction of Decision Trees. Canadian Conference on AI (2009)
Harry Zhang, Jiang Su
Naive Bayes for optimal ranking. J. Exp. Theor. Artif. Intell. 20 (2) (2008)
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin
Discriminative parameter learning for Bayesian networks. ICML (2008)
Jiang Su, Harry Zhang
A Fast Decision Tree Learning Algorithm. AAAI (2006)
Jiang Su, Harry Zhang
Full Bayesian network classifiers. ICML (2006)
Jiang Su, Harry Zhang
Probabilistic Inference Trees for Classification and Ranking. Canadian Conference on AI (2006)
Harry Zhang, Jiang Su
Learning probabilistic decision trees for AUC. Pattern Recognit. Lett. 27 (8) (2006)
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
One Dependence Augmented Naive Bayes. ADMA (2005)
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
Learning Tree Augmented Naive Bayes for Ranking. DASFAA (2005)
Jiang Su, Harry Zhang
Representing Conditional Independence Using Decision Trees. AAAI (2005)
Liangxiao Jiang, Harry Zhang, Jiang Su
Instance Cloning Local Naive Bayes. Canadian Conference on AI (2005)
Liangxiao Jiang, Harry Zhang, Jiang Su
-Nearest Neighbor Naive Bayes for Ranking. ADMA (2005)
Harry Zhang, Liangxiao Jiang, Jiang Su
Hidden Naive Bayes. AAAI (2005)
Harry Zhang, Liangxiao Jiang, Jiang Su
Augmenting naive Bayes for ranking. ICML (2005)
Harry Zhang, Jiang Su
Naive Bayesian Classifiers for Ranking. ECML (2004)
Jiang Su, Harry Zhang
Learning Conditional Independence Tree for Ranking. ICDM (2004)
Harry Zhang, Jiang Su
Conditional Independence Trees. ECML (2004)