Wang, Linlin

10 publications

AAAI 2025 Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation Shunfan Zheng, Xiechi Zhang, Gerard de Melo, Xiaoling Wang, Linlin Wang

AAAI 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He

ECCV 2024 Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction Yansheng Li, Tingzhu Wang, Kang Wu, Linlin Wang, Xin Guo, Wenbin Wang

AAAI 2024 MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He

AAAI 2023 A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He

AAAI 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He

ICCVW 2019 AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang

AAAI 2018 Link Prediction via Subgraph Embedding-Based Convex Matrix Completion Zhu Cao, Linlin Wang, Gerard de Melo

IJCAI 2017 Multiple-Weight Recurrent Neural Networks Zhu Cao, Linlin Wang, Gerard de Melo

AAAI 2016 Morphological Segmentation with Window LSTM Neural Networks Linlin Wang, Zhu Cao, Yu Xia, Gerard de Melo