Lingxiang Wu

According to our database, Lingxiang Wu authored at least 25 papers between 2011 and 2026.

Collaborative distances:

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

2026

PLUME: Latent Reasoning Based Universal Multimodal Embedding.

Chenwei He, Xiangzhao Hao, Tianyu Yang, Yuxiang Ma, Yuheng Jia, Lingxiang Wu, Chaoyang Zhao, Haiyun Guo, Jinqiao Wang

CoRR, April, 2026

Towards Governance-Oriented Low-Altitude Intelligence: A Management-Centric Multi-Modal Benchmark With Implicitly Coordinated Vision-Language Reasoning Framework.

Hao Chang, Zhihui Wang, Lingxiang Wu, Peijin Wang, Wenhui Diao, Jinqiao Wang

CoRR, January, 2026

Adversarial discriminant attack on text-to-image diffusion models.

Hanxiao Wu, Shengwu Xiong, Dong Yi, Lingxiang Wu, Jianqing Zhu, Guibo Zhu, Jinqiao Wang

Neural Networks, 2026

SQL-Checker: Error Detection and Labeling for Text-to-SQL with Interpretability Analysis.

Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang, Jinqiao Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

PixCLIP: Achieving Fine-grained Visual Language Understanding via Any-granularity Pixel-Text Alignment Learning.

Yicheng Xiao, Yu Chen, Haoxuan Ma, Jiale Hong, Caorui Li, Lingxiang Wu, Haiyun Guo, Jinqiao Wang

CoRR, November, 2025

SCANER: robust and sensitive identification of malignant cells from the scRNA-seq profiled tumor ecosystem.

Peng Xia, Wei Wu, Quanzhong Liu, Bin Huang, Min Wu, Zihan Lin, Mengyan Zhu, Miao Yu, Ying Qu, Kening Li, Lingxiang Wu, Ruohan Zhang, Qianghu Wang

Briefings Bioinform., March, 2025

Enhancing Visual Aligning and Grounding for Aerial Vision-and-Dialog Navigation.

Guanhui Qiao, Dong Yi, Lingxiang Wu, Hanxiao Wu, Jinqiao Wang

IEEE Signal Process. Lett., 2025

BlingDiff: High-Fidelity Virtual Jewelry Try-On with Detail-Optimized Diffusion.

Yunfang Niu, Lingxiang Wu, Dong Yi, Lu Zhou, Jinqiao Wang

Proceedings of the 3rd International Workshop on Rich Media With Generative AI, 2025

OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model.

Chen Wang, Tianyu Peng, Wen Yang, Yinan Bai, Guangfu Wang, Jun Lin, Lanpeng Jia, Lingxiang Wu, Jinqiao Wang, Chengqing Zong, Jiajun Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns.

Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Multi-Model Style-Aware Diffusion Learning for Semantic Image Synthesis.

Yunfang Niu, Lingxiang Wu, Yufeng Zhang, Yousong Zhu, Guibo Zhu, Jinqiao Wang

ACM Trans. Multim. Comput. Commun. Appl., November, 2024

AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion.

Yunfang Niu, Lingxiang Wu, Dong Yi, Jie Peng, Ning Jiang, Haiying Wu, Jinqiao Wang

CoRR, 2024

Pattern-Aware Chain-of-Thought Prompting in Large Language Models.

Yufeng Zhang, Xuepeng Wang, Lingxiang Wu, Jinqiao Wang

CoRR, 2024

Completing Saliency from Details.

Jin Zhang, Yumeng Liu, Lingxiang Wu, Renwei Dian, Yiheng Yao, Shihao Huang, Yang Yang, Ruiheng Zhang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

PFDM: Parser-Free Virtual Try-On via Diffusion Model.

Yunfang Niu, Dong Yi, Lingxiang Wu, Zhiwei Liu, Pengxiang Cai, Jinqiao Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection.

Xingyu Ma, Xin Tian, Lingxiang Wu, Xuepeng Wang, Xueming Tang, Jinqiao Wang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2022

TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training.

Yulong Liu, Guibo Zhu, Bin Zhu, Qi Song, Guojing Ge, Haoran Chen, Guanhui Qiao, Ru Peng, Lingxiang Wu, Jinqiao Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Noise Augmented Double-Stream Graph Convolutional Networks for Image Captioning.

Lingxiang Wu, Min Xu, Lei Sang, Ting Yao, Tao Mei

IEEE Trans. Circuits Syst. Video Technol., 2021

2020

Image to Modern Chinese Poetry Creation via a Constrained Topic-aware Model.

Lingxiang Wu, Min Xu, Shengsheng Qian, Jianwei Cui

ACM Trans. Multim. Comput. Commun. Appl., 2020

Recall What You See Continually Using GridLSTM in Image Captioning.

Lingxiang Wu, Min Xu, Jinqiao Wang, Stuart W. Perry

IEEE Trans. Multim., 2020

Multi-camera multi-player tracking with deep player identification in sports video.

Ruiheng Zhang, Lingxiang Wu, Yukun Yang, Wanneng Wu, Yueqiang Chen, Min Xu

Pattern Recognit., 2020

2019

Generating Descriptive and Accurate Image Captions with Neural Networks

Lingxiang Wu

PhD thesis, 2019

2018

Appearance features in Encoding Color Space for visual surveillance.

Lingxiang Wu, Min Xu, Guibo Zhu, Jinqiao Wang, Tianrong Rao

Neurocomputing, 2018

2016

Person re-identification via rich color-gradient feature.

Lingxiang Wu, Jinqiao Wang, Guibo Zhu, Min Xu, Hanqing Lu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2011

Continuous Intra-Arterial Blood pH Monitoring by a Fiber-Optic Fluorosensor.

Weizhong Jin, Lingxiang Wu, Yuanlin Song, Jinjun Jiang, Xiaodan Zhu, Dawei Yang, Chunxue Bai

IEEE Trans. Biomed. Eng., 2011