Jun Zhou

36 papers A* 3A 1C 2Misc 1Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
EH-Benchmark: Ophthalmic hallucination benchmark and agent-driven top-down traceable reasoning workflow.
Inf. Fusion
Xiaoyu Pan, Yang Bai, Ke Zou, Yang Zhou, Jun Zhou, Huazhu Fu, Yih-Chung Tham, Yong Liu
2026 A* conf
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes.
AAAI
Yang Zhou, Zhenting Sheng, Mingrui Tan, Yuting Song, Jun Zhou, Yu Heng Kwan, Lian Leng Low, Yang Bai, Yong Liu
2026 J jnl
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes.
CoRR
Yang Zhou, Zhenting Sheng, Mingrui Tan, Yuting Song, Jun Zhou, Yu Heng Kwan, Lian Leng Low, Yang Bai, Yong Liu
2025 J jnl
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation.
CoRR
Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025 — conf
AdvMIM: Adversarial Masked Image Modeling for Semi-supervised Medical Image Segmentation.
MICCAI (16)
Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025 J jnl
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
CoRR
Samantha Min Er Yew, Xiaofeng Lei, Jocelyn Hui Lin Goh, Yibing Chen, Sahana Srinivasan, Miao-li Chee, Krithi Pushpanathan, Ke Zou, Qingshan Hou, Zhi Da Soh, Cancan Xue, Marco Chak Yan Yu, Charumathi Sabanayagam, E. Shyong Tai, Xueling Sim, Yaxing Wang, Jost B. Jonas, Vinay Nangia, Gabriel Dawei Yang, Emma Anran Ran, Carol Yim-lui Cheung, Yangqin Feng, Jun Zhou, Rick Siow Mong Goh, Yukun Zhou, Pearse A. Keane, Yong Liu, Ching-Yu Cheng, Yih-Chung Tham
2025 J jnl
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow.
CoRR
Xiaoyu Pan, Yang Bai, Ke Zou, Yang Zhou, Jun Zhou, Huazhu Fu, Yih-Chung Tham, Yong Liu
2025 J jnl
EVLF-FM: Explainable Vision Language Foundation Model for Medicine.
CoRR
Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025 J jnl
Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Zhanglu Yan, Kaiwen Tang, Jun Zhou, Weng-Fai Wong
2025 J jnl
MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training.
CoRR
Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025 — conf
MaskedCLIP: Bridging the Masked and CLIP Space for Semi-supervised Medical Vision-Language Pre-training.
MedAGI
Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu
2025 J jnl
Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM).
CoRR
Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou, Yan Wang, Yang Bai, Yuhe Ke, Jie Yao, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2024 J jnl
1.63 pJ/SOP Neuromorphic Processor With Integrated Partial Sum Routers for In-Network Computing.
IEEE Trans. Very Large Scale Integr. Syst.
Dongrui Li, Ming Ming Wong, Yi Sheng Chong, Jun Zhou, Mohit Upadhyay, Ananta Narayanan Balaji, Aarthy Mani, Weng-Fai Wong, Li-Shiuan Peh, Anh Tuan Do, Bo Wang
2024 J jnl
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning.
CoRR
Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu
2024 — conf
Llama-TCR: Generate De Novo TCR with Large Language Model.
CAI
Jun Zhou, Zhenzhou Wu, Mengren Man, Yonghui Wu, Linh Le Dinh, Manna Dai, Yong Liu, Rick Siow Mong Goh
2024 — conf
TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers.
CAI
Manna Dai, Yonghui Wu, Jun Zhou, Zhenzhou Wu, Mengren Man, Linh Le Dinh, Joyjit Chattoraj, Feng Yang, My Ha Dao, Yong Liu, Rick Siow Mong Goh
2023 C conf
1.7pJ/SOP Neuromorphic Processor with Integrated Partial Sum Routers for In-Network Computing.
ISCAS
Bo Wang, Ming Ming Wong, Dongrui Li, Yi Sheng Chong, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh, Aarthy Mani, Mohit Upadhyay, Ananta Narayanan Balaji, Anh Tuan Do
2023 J jnl
CQ$^{+}$+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to Spiking Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2022 Misc conf
Benchmarking Emergency Department Triage Prediction Models with Machine Learning and Large Public Electronic Health Records.
AMIA
Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
2022 J jnl
Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency.
Neurocomputing
Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022 J jnl
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140].
Neurocomputing
Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong
2022 J jnl
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks.
CoRR
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2022 A* conf
REACT: a heterogeneous reconfigurable neural network accelerator with software-configurable NoCs for training and inference on wearables.
DAC
Mohit Upadhyay, Rohan Juneja, Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2021 J jnl
An optimal global algorithm for route guidance in advanced traveler information systems.
Inf. Sci.
Bokui Chen, Zhong-Jun Ding, Yao Wu, Jun Zhou, Yongquan Chen
2021 J jnl
Benchmarking Predictive Risk Models for Emergency Departments with Large Public Electronic Health Records.
CoRR
Feng Xie, Jun Zhou, Jin Wee Lee, Mingrui Tan, Siqi Li, Logasan S/O Rajnthern, Marcel Lucas Chee, Bibhas Chakraborty, An-Kwok Ian Wong, Alon Dagan, Marcus Eng Hock Ong, Fei Gao, Nan Liu
2021 J jnl
Energy efficient ECG classification with spiking neural network.
Biomed. Signal Process. Control.
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021 A* conf
Near Lossless Transfer Learning for Spiking Neural Networks.
AAAI
Zhanglu Yan, Jun Zhou, Weng-Fai Wong
2021 J jnl
Synthesis of the Dynamical Properties of Feedback Loops in Bio-Pathways.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Zhou, R. Ramanathan, Weng-Fai Wong
2020 J jnl
A future intelligent traffic system with mixed autonomous vehicles and human-driven vehicles.
Inf. Sci.
Bokui Chen, Duo Sun, Jun Zhou, Wengfai Wong, Zhong-Jun Ding
2020 A conf
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip.
DATE
Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2019 J jnl
A System-Level Simulator for RRAM-Based Neuromorphic Computing Chips.
ACM Trans. Archit. Code Optim.
Matthew Kay Fei Lee, Yingnan Cui, Thannirmalai Somu, Tao Luo, Jun Zhou, Wai Teng Tang, Weng-Fai Wong, Rick Siow Mong Goh
2019 J jnl
Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances.
IEEE Trans. Cloud Comput.
Jun Zhou, Yan Zhang, Weng-Fai Wong
2019 C conf
Resource Efficient Personalized ECG Beat Classification via Temporal Logic Synthesis.
BIBE
Jun Zhou, Weng-Fai Wong
2019 J jnl
Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip.
CoRR
Bo Wang, Jun Zhou, Weng-Fai Wong, Li-Shiuan Peh
2017 — conf
Automated Property Synthesis of ODEs Based Bio-pathways Models.
CMSB
Jun Zhou, R. Ramanathan, Weng-Fai Wong, P. S. Thiagarajan
2015 — conf
Parallelized Parameter Estimation of Biological Pathway Models.
HSB
R. Ramanathan, Yan Zhang, Jun Zhou, Benjamin M. Gyori, Weng-Fai Wong, P. S. Thiagarajan