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2020 – today
- 2025
[j13]Jiaqing Xie, Weida Wang, Ben Gao, Zhuo Yang, Haiyuan Wang, Shufei Zhang, Tianfan Fu, Yuqiang Li:
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry. J. Chem. Inf. Model. 65(22): 12268-12278 (2025)- [c12]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:
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. AAAI 2025: 415-423 - [c11]Xiaozhuang Song, Shufei Zhang, Tianshu Yu:
ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search. ACL (Findings) 2025: 9288-9306 - [c10]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search. NAACL (Long Papers) 2025: 7315-7337 - [i26]Yiqun Zhang, Peng Ye, Xiaocui Yang, Shi Feng, Shufei Zhang, Lei Bai, Wanli Ouyang, Shuyue Hu:
Nature-Inspired Population-Based Evolution of Large Language Models. CoRR abs/2503.01155 (2025) - [i25]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:
OmniCaptioner: One Captioner to Rule Them All. CoRR abs/2504.07089 (2025) - [i24]Alex Zhihao Dou, Dongfei Cui, Jun Yan, Weida Wang, Benteng Chen, Haoming Wang, Zeke Xie, Shufei Zhang:
DSADF: Thinking Fast and Slow for Decision Making. CoRR abs/2505.08189 (2025) - [i23]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:
NovelSeek: When Agent Becomes the Scientist - Building Closed-Loop System from Hypothesis to Verification. CoRR abs/2505.16938 (2025) - [i22]Changfan Yang, Lichen Bai, Yinpeng Wang, Shufei Zhang, Zeke Xie:
Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs. CoRR abs/2505.17575 (2025) - [i21]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:
Control-R: Towards controllable test-time scaling. CoRR abs/2506.00189 (2025) - [i20]Taoyong Cui, Zhongyao Wang, Dongzhan Zhou, Yuqiang Li, Lei Bai, Wanli Ouyang, Mao Su, Shufei Zhang:
Iterative Pretraining Framework for Interatomic Potentials. CoRR abs/2507.20118 (2025) - [i19]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:
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy. CoRR abs/2508.01188 (2025) - [i18]Jiaqing Xie, Weida Wang, Ben Gao, Zhuo Yang, Haiyuan Wang, Shufei Zhang, Tianfan Fu, Yuqiang Li:
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry. CoRR abs/2508.01670 (2025) - [i17]Jiatong Li, Weida Wang, Qinggang Zhang, Junxian Li, Di Zhang, Changmeng Zheng, Shufei Zhang, Xiaoyong Wei, Qing Li:
Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery. CoRR abs/2508.08401 (2025) - [i16]Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, Kunling Liu, Zhiyuan Gao, Shiqi Geng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, Lei Bai, Jinguang Cheng, Zhong Fang, Hongming Weng:
CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics. CoRR abs/2508.18124 (2025) - [i15]Dong Han, Zhehong Ai, Pengxiang Cai, Shuzhou Sun, Shanya Lu, Jianpeng Chen, Ben Gao, Lingli Ge, Weida Wang, Xiangxin Zhou, Xihui Liu, Mao Su, Wanli Ouyang, Lei Bai, Dongzhan Zhou, Tao Xu, Yuqiang Li, Shufei Zhang:
ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System. CoRR abs/2509.08736 (2025) - [i14]Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu:
AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search. CoRR abs/2509.20988 (2025) - [i13]Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Dinggen Zhang, Weida Wang, Towsif Raiyan, Benteng Chen, Qingtao Pan, Yang Ouyang, Zhiqiang Gao, Shufei Zhang, Sumon Biswas:
Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning. CoRR abs/2510.01833 (2025) - [i12]Weida Wang, Benteng Chen, Di Zhang, Wanhao Liu, Shuchen Pu, Ben Gao, Jin Zeng, Xiaoyong Wei, Tianshu Yu, Shuzhou Sun, Tianfan Fu, Wanli Ouyang, Lei Bai, Jiatong Li, Zifu Wang, Yuqiang Li, Shufei Zhang:
Chem-R: Learning to Reason as a Chemist. CoRR abs/2510.16880 (2025) - 2024
- [j12]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiu-Feng Wang, Bin Gu, Huan Xiong, Xinping Yi:
Inter-feature Relationship Certifies Robust Generalization of Adversarial Training. Int. J. Comput. Vis. 132(12): 5565-5581 (2024) - [j11]Taoyong Cui, Chenyu Tang, Mao Su, Shufei Zhang, Yuqiang Li, Lei Bai, Yuhan Dong, Xingao Gong, Wanli Ouyang:
Geometry-enhanced pretraining on interatomic potentials. Nat. Mac. Intell. 6(4): 428-436 (2024) - [j10]Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Xinping Yi, Bin Gu, Huan Xiong:
Perturbation diversity certificates robust generalization. Neural Networks 172: 106117 (2024) - [j9]Owen Dou, Zhiqiang Gao, Hangchi Shen, Ziling Yuan, Shufei Zhang, Kaizhu Huang:
Improving Robust Generalization with Diverging Spanned Latent Space. Trans. Mach. Learn. Res. 2024 (2024) - [i11]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:
ChemLLM: A Chemical Large Language Model. CoRR abs/2402.06852 (2024) - [i10]Ruifeng Li, Dongzhan Zhou, Ancheng Shen, Ao Zhang, Mao Su, Mingqian Li, Hongyang Chen, Gang Chen, Yin Zhang, Shufei Zhang, Yuqiang Li, Wanli Ouyang:
Physical formula enhanced multi-task learning for pharmacokinetics prediction. CoRR abs/2404.10354 (2024) - [i9]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, Shufei Zhang, Mao Su, Wanli Ouyang, Yuqiang Li, Dongzhan Zhou:
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area. CoRR abs/2408.07246 (2024) - [i8]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. CoRR abs/2410.02884 (2024) - [i7]Jianpeng Chen, Yawen Ling, Yazhou Ren, Zichen Wen, Tianyi Wu, Shufei Zhang, Lifang He:
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering. CoRR abs/2410.03596 (2024) - [i6]Lechao Cheng, Kaifeng Chen, Jiyang Li, Shengeng Tang, Shufei Zhang, Meng Wang:
Dataset Distillers Are Good Label Denoisers In the Wild. CoRR abs/2411.11924 (2024) - [i5]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:
Biology Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. CoRR abs/2412.19191 (2024) - 2023
- [j8]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu:
Robust generative adversarial network. Mach. Learn. 112(12): 5135-5161 (2023) - [j7]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Yannis Goulermas:
Aggregated pyramid gating network for human pose estimation without pre-training. Pattern Recognit. 138: 109429 (2023) - [j6]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation With Stair Network. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 805-817 (2023) - 2022
- [j5]Shufei Zhang, Kaizhu Huang, Zenglin Xu:
Re-thinking model robustness from stability: a new insight to defend adversarial examples. Mach. Learn. 111(7): 2489-2513 (2022) - [c9]Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Chaoliang Zhong:
Certifying Better Robust Generalization for Unsupervised Domain Adaptation. ACM Multimedia 2022: 2399-2410 - [i4]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao, Zhenxing Niu, Amir Hussain:
Towards Simple and Accurate Human Pose Estimation with Stair Network. CoRR abs/2202.09115 (2022) - 2021
- [j4]Shufei Zhang, Kaizhu Huang, Zhuang Qian, Rui Zhang, Amir Hussain:
Improving generative adversarial networks with simple latent distributions. Neural Comput. Appl. 33(20): 13193-13203 (2021) - [j3]Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu:
Manifold adversarial training for supervised and semi-supervised learning. Neural Networks 140: 282-293 (2021) - [c8]Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong:
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. ICCV 2021: 8917-8926 - [c7]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Towards Better Robust Generalization with Shift Consistency Regularization. ICML 2021: 12524-12534 - [i3]Zhuang Qian, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi:
Improving Model Robustness with Latent Distribution Locally and Globally. CoRR abs/2107.04401 (2021) - 2020
- [j2]Kaizhu Huang, Shufei Zhang, Rui Zhang, Amir Hussain:
Novel deep neural network based pattern field classification architectures. Neural Networks 127: 82-95 (2020) - [c6]Chenru Jiang, Kaizhu Huang, Shufei Zhang, Xinheng Wang, Jimin Xiao:
Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pre-training. ACM Multimedia 2020: 2364-2371 - [i2]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Jimin Xiao, Yuan He:
Robust Generative Adversarial Network. CoRR abs/2004.13344 (2020)
2010 – 2019
- 2019
- [c5]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Generalized Adversarial Training in Riemannian Space. ICDM 2019: 826-835 - [c4]Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Amir Hussain:
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions. ICDM Workshops 2019: 905-910 - 2018
- [j1]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Learning from Few Samples with Memory Network. Cogn. Comput. 10(1): 15-22 (2018) - [i1]Shufei Zhang, Kaizhu Huang, Jianke Zhu, Yang Liu:
Manifold Adversarial Learning. CoRR abs/1807.05832 (2018) - 2017
- [c3]Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Improve Deep Learning with Unsupervised Objective. ICONIP (1) 2017: 720-728 - 2016
- [c2]Shufei Zhang, Kaizhu Huang:
Learning from Few Samples with Memory Network. ICONIP (1) 2016: 606-614 - 2014
- [c1]Rui Zhang, Shufei Zhang, Kaizhu Huang:
A Novel Hybrid Approach for Combining Deep and Traditional Neural Networks. ICONIP (3) 2014: 349-356
Coauthor Index
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