Lin, Ting-En

8 publications

ICLR 2025 DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Hamid Alinejad-Rokny, Xiaobo Xia, Tongliang Liu, Binyuan Hui, Min Yang

NeurIPS 2025 OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-Time Emotional Speech Synthesis Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Xiaobo Xia, Hamid Alinejad-Rokny, Fei Huang, Min Yang

ICCV 2023 Multi-View Active Fine-Grained Visual Recognition Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma

NeurIPS 2023 SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents Shuzheng Si, Wentao Ma, Haoyu Gao, Yuchuan Wu, Ting-En Lin, Yinpei Dai, Hangyu Li, Rui Yan, Fei Huang, Yongbin Li

AAAI 2021 Deep Open Intent Classification with Adaptive Decision Boundary Hanlei Zhang, Hua Xu, Ting-En Lin

AAAI 2021 Discovering New Intents with Deep Aligned Clustering Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu

AAAI 2020 Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract) Ting-En Lin, Hua Xu, Hanlei Zhang

AAAI 2020 Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement Ting-En Lin, Hua Xu, Hanlei Zhang