A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. - Rui Zhang 012; Shufei Zhang; Kaizhu Huang (ICONIP (3), 2014)

Learning from Few Samples with Memory Network. - Shufei Zhang; Kaizhu Huang (ICONIP (1), 2016)

Improve Deep Learning with Unsupervised Objective. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICONIP (1), 2017)

Learning from Few Samples with Memory Network. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (Cogn. Comput., 2018)

Manifold Adversarial Learning. - Shufei Zhang; Kaizhu Huang; Jianke Zhu; Yang Liu (CoRR, 2018)

Generalized Adversarial Training in Riemannian Space. - Shufei Zhang; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICDM, 2019)

SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Rui Zhang 012; Amir Hussain 001 (ICDM Workshops, 2019)

Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training. - Chenru Jiang; Kaizhu Huang; Shufei Zhang; Xinheng Wang 001; Jimin Xiao (ACM Multimedia, 2020)

Robust Generative Adversarial Network. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Jimin Xiao; Yuan He (CoRR, 2020)

Novel deep neural network based pattern field classification architectures. - Kaizhu Huang; Shufei Zhang; Rui Zhang 012; Amir Hussain 001 (Neural Networks, 2020)

Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. - Zhiqiang Gao; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Chaoliang Zhong (ICCV, 2021)

Towards Better Robust Generalization with Shift Consistency Regularization. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Xinping Yi (ICML, 2021)

Improving Model Robustness with Latent Distribution Locally and Globally. - Zhuang Qian; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Xinping Yi (CoRR, 2021)

Improving generative adversarial networks with simple latent distributions. - Shufei Zhang; Kaizhu Huang; Zhuang Qian; Rui Zhang 012; Amir Hussain 001 (Neural Comput. Appl., 2021)

Manifold adversarial training for supervised and semi-supervised learning. - Shufei Zhang; Kaizhu Huang; Jianke Zhu; Yang Liu (Neural Networks, 2021)

Certifying Better Robust Generalization for Unsupervised Domain Adaptation. - Zhiqiang Gao; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Rui Zhang 012; Chaoliang Zhong (ACM Multimedia, 2022)

Re-thinking model robustness from stability: a new insight to defend adversarial examples. - Shufei Zhang; Kaizhu Huang; Zenglin Xu (Mach. Learn., 2022)

Aggregated pyramid gating network for human pose estimation without pre-training. - Chenru Jiang; Kaizhu Huang; Shufei Zhang; Xinheng Wang 001; Jimin Xiao; Yannis Goulermas (Pattern Recognit., 2023)

Towards Simple and Accurate Human Pose Estimation With Stair Network. - Chenru Jiang; Kaizhu Huang; Shufei Zhang; Xinheng Wang 001; Jimin Xiao; Zhenxing Niu; Amir Hussain 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Robust generative adversarial network. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Rui Zhang 012; Jimin Xiao; Yuan He; Canyi Lu (Mach. Learn., 2023)

ChemLLM: A Chemical Large Language Model. - Di Zhang; Wei Liu 123; Qian Tan; Jingdan Chen; Hang Yan 001; Yuliang Yan; Jiatong Li 003; Weiran Huang 001; Xiangyu Yue 001; Dongzhan Zhou; Shufei Zhang; Mao Su; et al. (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 001; Yin Zhang 014; Shufei Zhang; Yuqiang Li; Wanli Ouyang (CoRR, 2024)

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. - Di Zhang; Jianbo Wu; Jingdi Lei; Tong Che; Jiatong Li 003; Tong Xie; Xiaoshui Huang; Shufei Zhang; Marco Pavone 001; Yuqiang Li; Wanli Ouyang; Dongzhan Zhou (CoRR, 2024)

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering. - Jianpeng Chen; Yawen Ling; Yazhou Ren 001; Zichen Wen; Tianyi Wu; Shufei Zhang; Lifang He 001 (CoRR, 2024)

Dataset Distillers Are Good Label Denoisers In the Wild. - Lechao Cheng; Kaifeng Chen; Jiyang Li; Shengeng Tang; Shufei Zhang; Meng Wang 001 (CoRR, 2024)

Biology Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. - Haonan He; Yuchen Ren 001; Yining Tang; Ziyang Xu; Junxian Li 001; Minghao Yang; Di Zhang; Dong Yuan; Tao Chen 003; Shufei Zhang; Yuqiang Li; Nanqing Dong; et al. (CoRR, 2024)

Geometry-enhanced pretraining on interatomic potentials. - Taoyong Cui; Chenyu Tang; Mao Su; Shufei Zhang; Yuqiang Li; Lei Bai 001; Yuhan Dong; Xingao Gong; Wanli Ouyang (Nat. Mac. Intell., 2024)

Perturbation diversity certificates robust generalization. - Zhuang Qian; Shufei Zhang; Kaizhu Huang; Qiufeng Wang 001; Xinping Yi; Bin Gu 001; Huan Xiong (Neural Networks, 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)

Inter-feature Relationship Certifies Robust Generalization of Adversarial Training. - Shufei Zhang; Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang 001; Bin Gu 001; Huan Xiong; Xinping Yi (Int. J. Comput. Vis., 2024)

ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. - Junxian Li 001; Di Zhang; Xunzhi Wang; Zeying Hao; Jingdi Lei; Qian Tan; Cai Zhou; Wei Liu 123; Yaotian Yang; Xinrui Xiong; Weiyun Wang; Zhe Chen 013; et al. (AAAI, 2025)

ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search. - Xiaozhuang Song; Shufei Zhang; Tianshu Yu 001 (ACL (Findings), 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 003; Tong Xie; Xiaoshui Huang; Shufei Zhang; Marco Pavone 001; Yuqiang Li; Wanli Ouyang; Dongzhan Zhou (NAACL (Long Papers), 2025)

Nature-Inspired Population-Based Evolution of Large Language Models. - Yiqun Zhang; Peng Ye 006; Xiaocui Yang; Shi Feng 001; Shufei Zhang; Lei Bai 001; Wanli Ouyang; Shuyue Hu (CoRR, 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 082; et al. (CoRR, 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, 2025)

NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification. - Bo Zhang 069; Shiyang Feng; Xiangchao Yan; Jiakang Yuan; Zhiyin Yu; Xiaohan He; Songtao Huang; Shaowei Hou; Zheng Nie; Zhilong Wang; Jinyao Liu; Runmin Ma; et al. (CoRR, 2025)

Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs. - Changfan Yang; Lichen Bai; Yinpeng Wang; Shufei Zhang; Zeke Xie (CoRR, 2025)

Control-R: Towards controllable test-time scaling. - Di Zhang; Weida Wang; Junxian Li 001; Xunzhi Wang; Jiatong Li 003; Jianbo Wu; Jingdi Lei; Haonan He; Peng Ye 006; Shufei Zhang; Wanli Ouyang; Yuqiang Li; et al. (CoRR, 2025)

Iterative Pretraining Framework for Interatomic Potentials. - Taoyong Cui; Zhongyao Wang; Dongzhan Zhou; Yuqiang Li; Lei Bai 001; Wanli Ouyang; Mao Su; Shufei Zhang (CoRR, 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 001; Linjiang Chen; Shufei Zhang; et al. (CoRR, 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, 2025)

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery. - Jiatong Li 003; Weida Wang; Qinggang Zhang; Junxian Li 001; Di Zhang; Changmeng Zheng; Shufei Zhang; Xiaoyong Wei; Qing Li 001 (CoRR, 2025)