Shufei Zhang

According to our database, Shufei Zhang authored at least 43 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery.

Jiatong Li, Weida Wang, Qinggang Zhang, Junxian Li, Di Zhang, Changmeng Zheng, Shufei Zhang, Xiaoyong Wei, Qing Li

CoRR, August, 2025

QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry.

Jiaqing Xie, Weida Wang, Ben Gao, Zhuo Yang, Haiyuan Wang, Shufei Zhang, Tianfan Fu, Yuqiang Li

CoRR, August, 2025

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy.

Zhuo Yang, Jiaqing Xie, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, Yuqiang Li

CoRR, August, 2025

Iterative Pretraining Framework for Interatomic Potentials.

Taoyong Cui, Zhongyao Wang, Dongzhan Zhou, Yuqiang Li, Lei Bai, Wanli Ouyang, Mao Su, Shufei Zhang

CoRR, July, 2025

Control-R: Towards controllable test-time scaling.

Di Zhang, Weida Wang, Junxian Li, Xunzhi Wang, Jiatong Li, Jianbo Wu, Jingdi Lei, Haonan He, Peng Ye, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

CoRR, June, 2025

Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs.

Changfan Yang, Lichen Bai, Yinpeng Wang, Shufei Zhang, Zeke Xie

CoRR, May, 2025

NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification.

Bo Zhang, Shiyang Feng, Xiangchao Yan, Jiakang Yuan, Zhiyin Yu, Xiaohan He, Songtao Huang, Shaowei Hou, Zheng Nie, Zhilong Wang, Jinyao Liu, Runmin Ma, Tianshuo Peng, Peng Ye, Dongzhan Zhou, Shufei Zhang, Xiaosong Wang, Yilan Zhang, Meng Li, Zhongying Tu, Xiangyu Yue, Wangli Ouyang, Bowen Zhou, Lei Bai

CoRR, May, 2025

DSADF: Thinking Fast and Slow for Decision Making.

Alex Zhihao Dou, Dongfei Cui, Jun Yan, Weida Wang, Benteng Chen, Haoming Wang, Zeke Xie, Shufei Zhang

CoRR, May, 2025

OmniCaptioner: One Captioner to Rule Them All.

Yiting Lu, Jiakang Yuan, Zhen Li, Shitian Zhao, Qi Qin, Xinyue Li, Le Zhuo, Licheng Wen, Dongyang Liu, Yuewen Cao, Xiangchao Yan, Xin Li, Tianshuo Peng, Shufei Zhang, Botian Shi, Tao Chen, Zhibo Chen, Lei Bai, Bo Zhang, Peng Gao

CoRR, April, 2025

Nature-Inspired Population-Based Evolution of Large Language Models.

Yiqun Zhang, Peng Ye, Xiaocui Yang, Shi Feng, Shufei Zhang, Lei Bai, Wanli Ouyang, Shuyue Hu

CoRR, March, 2025

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search.

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search.

Xiaozhuang Song, Shufei Zhang, Tianshu Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area.

Junxian Li, Di Zhang, Xunzhi Wang, Zeying Hao, Jingdi Lei, Qian Tan, Cai Zhou, Wei Liu, Yaotian Yang, Xinrui Xiong, Weiyun Wang, Zhe Chen, Wenhai Wang, Wei Li, Mao Su, Shufei Zhang, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Inter-feature Relationship Certifies Robust Generalization of Adversarial Training.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Bin Gu, Huan Xiong, Xinping Yi

Int. J. Comput. Vis., December, 2024

Improving Robust Generalization with Diverging Spanned Latent Space.

Owen Dou, Zhiqiang Gao, Hangchi Shen, Ziling Yuan, Shufei Zhang, Kaizhu Huang

Trans. Mach. Learn. Res., 2024

Perturbation diversity certificates robust generalization.

Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Xinping Yi, Bin Gu, Huan Xiong

Neural Networks, 2024

Geometry-enhanced pretraining on interatomic potentials.

Taoyong Cui, Chenyu Tang, Mao Su, Shufei Zhang, Yuqiang Li, Lei Bai, Yuhan Dong, Xingao Gong, Wanli Ouyang

Nat. Mac. Intell., 2024

Biology Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models.

Haonan He, Yuchen Ren, Yining Tang, Ziyang Xu, Junxian Li, Minghao Yang, Di Zhang, Dong Yuan, Tao Chen, Shufei Zhang, Yuqiang Li, Nanqing Dong, Wanli Ouyang, Dongzhan Zhou, Peng Ye

CoRR, 2024

Dataset Distillers Are Good Label Denoisers In the Wild.

Lechao Cheng, Kaifeng Chen, Jiyang Li, Shengeng Tang, Shufei Zhang, Meng Wang

CoRR, 2024

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering.

Jianpeng Chen, Yawen Ling, Yazhou Ren, Zichen Wen, Tianyi Wu, Shufei Zhang, Lifang He

CoRR, 2024

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou

CoRR, 2024

Physical formula enhanced multi-task learning for pharmacokinetics prediction.

Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang

CoRR, 2024

ChemLLM: A Chemical Large Language Model.

Di Zhang, Wei Liu, Qian Tan, Jingdan Chen, Hang Yan, Yuliang Yan, Jiatong Li, Weiran Huang, Xiangyu Yue, Dongzhan Zhou, Shufei Zhang, Mao Su, Hansen Zhong, Yuqiang Li, Wanli Ouyang

CoRR, 2024

2023

Robust generative adversarial network.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu

Mach. Learn., December, 2023

Towards Simple and Accurate Human Pose Estimation With Stair Network.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Aggregated pyramid gating network for human pose estimation without pre-training.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas

Pattern Recognit., June, 2023

2022

Re-thinking model robustness from stability: a new insight to defend adversarial examples.

Shufei Zhang, Kaizhu Huang, Zenglin Xu

Mach. Learn., 2022

Certifying Better Robust Generalization for Unsupervised Domain Adaptation.

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Manifold adversarial training for supervised and semi-supervised learning.

Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu

Neural Networks, 2021

Improving generative adversarial networks with simple latent distributions.

Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain

Neural Comput. Appl., 2021

Improving Model Robustness with Latent Distribution Locally and Globally.

Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

CoRR, 2021

Towards Better Robust Generalization with Shift Consistency Regularization.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi

Proceedings of the 38th International Conference on Machine Learning, 2021

Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation.

Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Novel deep neural network based pattern field classification architectures.

Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain

Neural Networks, 2020

Robust Generative Adversarial Network.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He

CoRR, 2020

Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training.

Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions.

Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Generalized Adversarial Training in Riemannian Space.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Manifold Adversarial Learning.

Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu

CoRR, 2018

Learning from Few Samples with Memory Network.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Cogn. Comput., 2018

2017

Improve Deep Learning with Unsupervised Objective.

Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Learning from Few Samples with Memory Network.

Shufei Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014

A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks.

Rui Zhang, Shufei Zhang, Kaizhu Huang

Proceedings of the Neural Information Processing - 21st International Conference, 2014