Jian Zhang - RankMe

25 papers A* 2Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ANP-G: A 28-nm 1.04-pJ/SOP Sub-mm² Asynchronous Hybrid Neural Network Olfactory Processor Enabling Few-Shot Class-Incremental On-Chip Learning. IEEE J. Solid State Circuits Dexuan Huo, Jilin Zhang, Xinyu Dai, Jian Zhang, Chunqi Qian, Kea-Tiong Tang, Hong Chen
2025	—	`conf`	Accurate Residue-Level Prediction of Linear Interacting Peptides with Auxiliary Multi-Scale Anchor Detection. BIBM Fuhao Zhang, Chenxi Xia, Mingxin Dong, Min Zeng, Jian Zhang, Min Li
2025	J	`jnl`	EnrichRBP: an automated and interpretable computational platform for predicting and analysing RNA-binding protein events. Bioinform. Yubo Wang, Haoran Zhu, Yansong Wang, Yuning Yang, Yujian Huang, Jian Zhang, Ka-Chun Wong, Xiangtao Li
2024	J	`jnl`	ANCoEF: Asynchronous Neuromorphic Algorithm/Hardware Co-Exploration Framework with a Fully Asynchronous Simulator. CoRR Jian Zhang, Xiang Zhang, Jingchen Huang, Jilin Zhang, Hong Chen
2024	J	`jnl`	ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications. IEEE J. Solid State Circuits Jilin Zhang, Dexuan Huo, Jian Zhang, Chunqi Qian, Qi Liu, Liyang Pan, Zhihua Wang, Ning Qiao, Kea-Tiong Tang, Hong Chen
2023	—	`conf`	A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition. ASYNC Dexuan Huo, Jilin Zhang, Jian Zhang, Hong Chen
2023	A*	`conf`	ANAS: Asynchronous Neuromorphic Hardware Architecture Search Based on a System-Level Simulator. DAC Jian Zhang, Jilin Zhang, Dexuan Huo, Hong Chen
2023	—	`conf`	ANP-G: A 28nm 1.04pJ/SOP Sub-mm2 Spiking and Back-propagation Hybrid Neural Network Asynchronous Olfactory Processor Enabling Few-shot Class-incremental On-chip Learning. VLSI Technology and Circuits Dexuan Huo, Jilin Zhang, Xinyu Dai, Jian Zhang, Chunqi Qian, Kea-Tiong Tang, Hong Chen
2023	—	`conf`	ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications. ISSCC Jilin Zhang, Dexuan Huo, Jian Zhang, Chunqi Qian, Qi Liu, Liyang Pan, Zhihua Wang, Ning Qiao, Kea-Tiong Tang, Hong Chen
2023	—	`conf`	Designing Self-timed Asynchronous Circuits with Chisel. ASYNC Jilin Zhang, Chunqi Qian, Dexuan Huo, Jian Zhang, Hong Chen
2023	J	`jnl`	SCAMPER: Accurate Type-Specific Prediction of Calcium-Binding Residues Using Sequence-Derived Features. IEEE ACM Trans. Comput. Biol. Bioinform. Jian Zhang, Feng Zhou, Xingchen Liang, Guifu Yang
2023	A*	`conf`	Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. ICCV Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen
2021	J	`jnl`	DNAgenie: accurate prediction of DNA-type-specific binding residues in protein sequences. Briefings Bioinform. Jian Zhang, Sina Ghadermarzi, Akila Katuwawala, Lukasz A. Kurgan
2020	J	`jnl`	Corrigendum to: Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. Briefings Bioinform. Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan
2020	J	`jnl`	PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection. Bioinform. Fuhao Zhang, Wenbo Shi, Jian Zhang, Min Zeng, Min Li, Lukasz A. Kurgan
2020	J	`jnl`	Prediction of protein-binding residues: dichotomy of sequence-based methods developed using structured complexes versus disordered proteins. Bioinform. Jian Zhang, Sina Ghadermarzi, Lukasz A. Kurgan
2019	J	`jnl`	Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains. Briefings Bioinform. Jian Zhang, Zhiqiang Ma, Lukasz A. Kurgan
2019	J	`jnl`	SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences. Bioinform. Jian Zhang, Lukasz A. Kurgan
2018	J	`jnl`	HEMEsPred: Structure-Based Ligand-Specific Heme Binding Residues Prediction by Using Fast-Adaptive Ensemble Learning Scheme. IEEE ACM Trans. Comput. Biol. Bioinform. Jian Zhang, Haiting Chai, Bo Gao, Guifu Yang, Zhiqiang Ma
2018	J	`jnl`	Identification of Mammalian Enzymatic Proteins Based on Sequence-Derived Features and Species-Specific Scheme. IEEE Access Haiting Chai, Jian Zhang
2018	J	`jnl`	Review and comparative assessment of sequence-based predictors of protein-binding residues. Briefings Bioinform. Jian Zhang, Lukasz A. Kurgan
2017	J	`jnl`	Prediction of bioluminescent proteins by using sequence-derived features and lineage-specific scheme. BMC Bioinform. Jian Zhang, Haiting Chai, Guifu Yang, Zhiqiang Ma
2016	J	`jnl`	Identification of DNA-binding proteins using multi-features fusion and binary firefly optimization algorithm. BMC Bioinform. Jian Zhang, Bo Gao, Haiting Chai, Zhiqiang Ma, Guifu Yang
2015	J	`jnl`	Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme. BioData Min. Jian Zhang, Wenhan Chen, Pingping Sun, Xiaowei Zhao, Zhiqiang Ma
2013	J	`jnl`	Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction. Comput. Math. Methods Medicine Pingping Sun, Haixu Ju, Zhenbang Liu, Qiao Ning, Jian Zhang, Xiaowei Zhao, Yanxin Huang, Zhiqiang Ma, Yuxin Li