Zhixin Lai

According to our database, Zhixin Lai authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest.

Xupeng Chen, Zhixin Lai, Kangrui Ruan, Shichu Chen, Jiaxiang Liu, Zuozhu Liu

CoRR, 2024

Multimodal Pragmatic Jailbreak on Text-to-image Models.

Tong Liu, Zhixin Lai, Gengyuan Zhang, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu

CoRR, 2024

InsectMamba: Insect Pest Classification with State Space Model.

Qianning Wang, Chenglin Wang, Zhixin Lai, Yucheng Zhou

CoRR, 2024

ECNet: Effective Controllable Text-to-Image Diffusion Models.

Sicheng Li, Keqiang Sun, Zhixin Lai, Xiaoshi Wu, Feng Qiu, Haoran Xie, Kazunori Miyata, Hongsheng Li

CoRR, 2024

Residual-based Language Models are Free Boosters for Biomedical Imaging.

Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan

CoRR, 2024

Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion.

Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection.

Zhixin Lai, Xuesheng Zhang, Suiyao Chen

Proceedings of the International Joint Conference on Neural Networks, 2024

The New Agronomists: Language Models are Experts in Crop Management.

Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks.

Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2020

Emotional and Cognitive Affordances of Collaborative Learning Environments.

Gaoxia Zhu, Chew Lee Teo, Marlene Scardamalia, Mohamed Faizal Badron, Kit Martin, Preeti Raman, Jim Hewitt, Tang Wee Teo, Aik-Ling Tan, Dingxuan Andy Ng, Raadiyah Nazeem, Zoe Donoahue, Zhixin Lai, Leanne Ma, Earl Woodruff

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020