Naive Bayesian Classifiers for Ranking. - Harry Zhang; Jiang Su (ECML, 2004)

Conditional Independence Trees. - Harry Zhang; Jiang Su (ECML, 2004)

Learning Conditional Independence Tree for Ranking. - Jiang Su; Harry Zhang (ICDM, 2004)

Representing Conditional Independence Using Decision Trees. - Jiang Su; Harry Zhang (AAAI, 2005)

Hidden Naive Bayes. - Harry Zhang; Liangxiao Jiang; Jiang Su (AAAI, 2005)

One Dependence Augmented Naive Bayes. - Liangxiao Jiang; Harry Zhang; Zhihua Cai; Jiang Su (ADMA, 2005)

Learning k-Nearest Neighbor Naive Bayes for Ranking. - Liangxiao Jiang; Harry Zhang; Jiang Su (ADMA, 2005)

Instance Cloning Local Naive Bayes. - Liangxiao Jiang; Harry Zhang; Jiang Su (Canadian AI, 2005)

Learning Tree Augmented Naive Bayes for Ranking. - Liangxiao Jiang; Harry Zhang; Zhihua Cai; Jiang Su (DASFAA, 2005)

Augmenting naive Bayes for ranking. - Harry Zhang; Liangxiao Jiang; Jiang Su (ICML, 2005)

A Fast Decision Tree Learning Algorithm. - Jiang Su; Harry Zhang (AAAI, 2006)

Probabilistic Inference Trees for Classification and Ranking. - Jiang Su; Harry Zhang (Canadian AI, 2006)

Full Bayesian network classifiers. - Jiang Su; Harry Zhang (ICML, 2006)

Learning probabilistic decision trees for AUC. - Harry Zhang; Jiang Su (Pattern Recognit. Lett., 2006)

Discriminative parameter learning for Bayesian networks. - Jiang Su; Harry Zhang; Charles X. Ling; Stan Matwin (ICML, 2008)

Naive Bayes for optimal ranking. - Harry Zhang; Jiang Su (J. Exp. Theor. Artif. Intell., 2008)

Active Learning with Automatic Soft Labeling for Induction of Decision Trees. - Jiang Su; Jelber Sayyad-Shirabad; Stan Matwin; Jin Huang (Canadian AI, 2009)

Improving Co-training with Agreement-Based Sampling. - Jin Huang; Jelber Sayyad-Shirabad; Stan Matwin; Jiang Su (RSCTC, 2010)

Large Scale Text Classification using Semisupervised Multinomial Naive Bayes. - Jiang Su; Jelber Sayyad Shirab; Stan Matwin (ICML, 2011)

Hypergraph matching based on Marginalized Constrained Compatibility. - Jiang Su; Le Dong; Peng Ren 001; Edwin R. Hancock (ICPR, 2012)

Improving multi-view semi-supervised learning with agreement-based sampling. - Jin Huang; Jelber Sayyad-Shirabad; Stan Matwin; Jiang Su (Intell. Data Anal., 2012)

Increasing Network Size and Training Throughput of FPGA Restricted Boltzmann Machines Using Dropout. - Jiang Su; David B. Thomas; Peter Y. K. Cheung (FCCM, 2016)

Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms. - Jiang Su; Jianxiong Liu; David B. Thomas; Peter Y. K. Cheung (SIGARCH Comput. Archit. News, 2016)

Toward Energy-Efficient and Robust Clustering Algorithm on Mobile Ad Hoc Sensor Networks. - Huamei Qi; Tailong Xiao; Anfeng Liu; Jiang Su (COCOA (2), 2017)

End-to-End Multi-View Networks for Text Classification. - Hongyu Guo; Colin Cherry; Jiang Su (CoRR, 2017)

Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic. - Jiang Su; Nicholas J. Fraser; Giulio Gambardella; Michaela Blott; Gianluca Durelli; David B. Thomas; Philip Heng Wai Leong; Peter Y. K. Cheung (ARC, 2018)

Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification. - Jiang Su; Julian Faraone; Junyi Liu; Yiren Zhao; David B. Thomas; Philip Heng Wai Leong; Peter Y. K. Cheung (ARC, 2018)

A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks. - Huamei Qi; Fengqi Liu; Tailong Xiao; Jiang Su (Algorithms, 2018)

Artificial neural networks acceleration on field-programmable gate arrays considering model redundancy - Jiang Su (2018)

QoS adaptive and energy aware cross-layer opportunistic routing protocol in wireless sensor networks. - Huamei Qi; Jiang Tao; Jiang Su; Zhiwen Zeng; Wangping Xiong (IET Commun., 2019)

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. - Bailin Li; Bowen Wu; Jiang Su; Guangrun Wang (ECCV (2), 2020)

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. - Bailin Li; Bowen Wu; Jiang Su; Guangrun Wang; Liang Lin (CoRR, 2020)

Hybrid and dynamic policy gradient optimization for bipedal robot locomotion. - Changxin Huang; Jiang Su; Zhihong Zhang; Dong Zhao; Liang Lin (CoRR, 2021)

Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. - Changxin Huang; Ronghui Zhang; Meizi Ouyang; Pengxu Wei; Junfan Lin; Jiang Su; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Research Hotspot and Frontier Analysis of Vehicle Routing Optimization Based on Knowledge Graph. - Chenyang Wu; Zheng Zhang; Jiang Su; Zhonghao Li; Qi Gao (ICCDA, 2024)

OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes. - 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 (CoRR, 2025)