Wei Liu

According to our database, Wei Liu authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Large Language Models are in-Context Molecule Learners.

Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan, Yuqiang Li, Qing Li

IEEE Trans. Knowl. Data Eng., July, 2025

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team.

Weilun Yu, Shixiang Tang, Yonggui Huang, Nanqing Dong, Li Fan, Honggang Qi, Wei Liu, Xiaoli Diao, Xi Chen, Wanli Ouyang

CoRR, June, 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

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts.

Jiatong Li, Yunqing Liu, Wei Liu, Jingdi Lei, Di Zhang, Wenqi Fan, Dongzhan Zhou, Yuqiang Li, Qing Li

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

Empowering and Assessing the Utility of Large Language Models in Crop Science.

Hang Zhang, Jiawei Sun, Renqi Chen, Wei Liu, Zhonghang Yuan, Xinzhe Zheng, Zhefan Wang, Zhiyuan Yang, Hang Yan, Han-Sen Zhong, Xiqing Wang, Wanli Ouyang, Fan Yang, Nanqing Dong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AFBench: A Large-scale Benchmark for Airfoil Design.

Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Deep representation learning for face hallucination.

Tao Lu, Yu Wang, Ruobo Xu, Wei Liu, Wenhua Fang, Yanduo Zhang

Multim. Tools Appl., 2022

An Unsupervised Attentive-Adversarial Learning Framework for Single Image Deraining.

Wei Liu, Rui Jiang, Cheng Chen, Tao Lu, Zixiang Xiong

CoRR, 2022

Holistic Attention-Fusion Adversarial Network for Single Image Defogging.

Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, Zixiang Xiong

CoRR, 2022

2021

Image Defogging Quality Assessment: Real-World Database and Method.

Wei Liu, Fei Zhou, Tao Lu, Jiang Duan, Guoping Qiu

IEEE Trans. Image Process., 2021

Single Image Super-Resolution via Multi-Scale Information Polymerization Network.

Tao Lu, Yu Wang, Jiaming Wang, Wei Liu, Yanduo Zhang

IEEE Signal Process. Lett., 2021

Face Hallucination via Split-Attention in Split-Attention Network.

Tao Lu, Yuanzhi Wang, Yanduo Zhang, Yu Wang, Wei Liu, Zhongyuan Wang, Junjun Jiang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

End-to-End Single Image Fog Removal Using Enhanced Cycle Consistent Adversarial Networks.

Wei Liu, Xianxu Hou, Jiang Duan, Guoping Qiu

IEEE Trans. Image Process., 2020

2019

A physics based generative adversarial network for single image defogging.

Wei Liu, Rongguo Yao, Guoping Qiu

Image Vis. Comput., 2019