Jiang Su

37 papers A* 8B 2C 2Misc 1Journal 12Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes.
CoRR
Félix Therrien, Jamal Abou Haibeh, Divya Sharma, Rhiannon Hendley, Alex Hernández-García, Sun Sun, Alain Tchagang, Jiang Su, Samuel Huberman, Yoshua Bengio, Hongyu Guo, Homin Shin
2024 — conf
Research Hotspot and Frontier Analysis of Vehicle Routing Optimization Based on Knowledge Graph.
ICCDA
Chenyang Wu, Zheng Zhang, Jiang Su, Zhonghao Li, Qi Gao
2021 J jnl
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation.
IEEE Trans. Neural Networks Learn. Syst.
Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin
2021 J jnl
Hybrid and dynamic policy gradient optimization for bipedal robot locomotion.
CoRR
Changxin Huang, Jiang Su, Zhihong Zhang, Dong Zhao, Liang Lin
2020 — conf
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning.
ECCV (2)
Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang
2020 J jnl
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning.
CoRR
Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin
2019 J jnl
QoS adaptive and energy aware cross-layer opportunistic routing protocol in wireless sensor networks.
IET Commun.
Huamei Qi, Jiang Tao, Jiang Su, Zhiwen Zeng, Wangping Xiong
2018 J jnl
A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks.
Algorithms
Huamei Qi, Fengqi Liu, Tailong Xiao, Jiang Su
2018 — conf
Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic.
ARC
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018 J jnl
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic.
CoRR
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018 — —
Artificial neural networks acceleration on field-programmable gate arrays considering model redundancy
Jiang Su
2018 — conf
Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification.
ARC
Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2017 J jnl
End-to-End Multi-View Networks for Text Classification.
CoRR
Hongyu Guo, Colin Cherry, Jiang Su
2017 — conf
Toward Energy-Efficient and Robust Clustering Algorithm on Mobile Ad Hoc Sensor Networks.
COCOA (2)
Huamei Qi, Tailong Xiao, Anfeng Liu, Jiang Su
2016 Misc conf
Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout.
FCCM
Jiang Su, David B. Thomas, Peter Y. K. Cheung
2016 J jnl
Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms.
SIGARCH Comput. Archit. News
Jiang Su, Jianxiong Liu, David B. Thomas, Peter Y. K. Cheung
2012 B conf
Hypergraph matching based on Marginalized Constrained Compatibility.
ICPR
Jiang Su, Le Dong, Peng Ren, Edwin R. Hancock
2012 J jnl
Improving multi-view semi-supervised learning with agreement-based sampling.
Intell. Data Anal.
Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Jiang Su
2011 A* conf
Large Scale Text Classification using Semisupervised Multinomial Naive Bayes.
ICML
Jiang Su, Jelber Sayyad Shirab, Stan Matwin
2010 — conf
Improving Co-training with Agreement-Based Sampling.
RSCTC
Jin Huang, Jelber Sayyad-Shirabad, Stan Matwin, Jiang Su
2009 — conf
Active Learning with Automatic Soft Labeling for Induction of Decision Trees.
Canadian AI
Jiang Su, Jelber Sayyad-Shirabad, Stan Matwin, Jin Huang
2008 A* conf
Discriminative parameter learning for Bayesian networks.
ICML
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin
2008 J jnl
Naive Bayes for optimal ranking.
J. Exp. Theor. Artif. Intell.
Harry Zhang, Jiang Su
2006 A* conf
A Fast Decision Tree Learning Algorithm.
AAAI
Jiang Su, Harry Zhang
2006 A* conf
Full Bayesian network classifiers.
ICML
Jiang Su, Harry Zhang
2006 J jnl
Learning probabilistic decision trees for AUC.
Pattern Recognit. Lett.
Harry Zhang, Jiang Su
2006 — conf
Probabilistic Inference Trees for Classification and Ranking.
Canadian AI
Jiang Su, Harry Zhang
2005 A* conf
Augmenting naive Bayes for ranking.
ICML
Harry Zhang, Liangxiao Jiang, Jiang Su
2005 A* conf
Hidden Naive Bayes.
AAAI
Harry Zhang, Liangxiao Jiang, Jiang Su
2005 — conf
Instance Cloning Local Naive Bayes.
Canadian AI
Liangxiao Jiang, Harry Zhang, Jiang Su
2005 C conf
Learning
ADMA
Liangxiao Jiang, Harry Zhang, Jiang Su
2005 B conf
Learning Tree Augmented Naive Bayes for Ranking.
DASFAA
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
2005 C conf
One Dependence Augmented Naive Bayes.
ADMA
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
2005 A* conf
Representing Conditional Independence Using Decision Trees.
AAAI
Jiang Su, Harry Zhang
2004 — conf
Conditional Independence Trees.
ECML
Harry Zhang, Jiang Su
2004 A* conf
Learning Conditional Independence Tree for Ranking.
ICDM
Jiang Su, Harry Zhang
2004 — conf
Naive Bayesian Classifiers for Ranking.
ECML
Harry Zhang, Jiang Su