Shen, Yilin

32 publications

ICLR 2025 MoDeGPT: Modular Decomposition for Large Language Model Compression Chi-Heng Lin, Shangqian Gao, James Seale Smith, Abhishek Patel, Shikhar Tuli, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

ICML 2025 RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior Ching-Hua Lee, Chouchang Yang, Jaejin Cho, Yashas Malur Saidutta, Rakshith Sharma Srinivasa, Yilin Shen, Hongxia Jin

NeurIPS 2024 CIFD: Controlled Information Flow to Enhance Knowledge Distillation Yashas Malur Saidutta, Rakshith S Srinivasa, Jaejin Cho, Ching-Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin

CVPRW 2024 Continual Diffusion with STAMINA: STack-and-Mask INcremental Adapters James Seale Smith, Yen-Chang Hsu, Zsolt Kira, Yilin Shen, Hongxia Jin

TMLR 2024 Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA James Seale Smith, Yen-Chang Hsu, Lingyu Zhang, Ting Hua, Zsolt Kira, Yilin Shen, Hongxia Jin

NeurIPS 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu

WACV 2024 Efficient Layout-Guided Image Inpainting for Mobile Use Wenbo Li, Yi Wei, Yilin Shen, Hongxia Jin

WACV 2024 Token Fusion: Bridging the Gap Between Token Pruning and Token Merging Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

NeurIPS 2024 Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-Supervised Viewpoint and New UAV-View Benchmark Wei Ji, Jingjing Li, Wenbo Li, Yilin Shen, Li Cheng, Hongxia Jin

NeurIPS 2023 CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss Rakshith Sharma Srinivasa, Jaejin Cho, Chouchang Yang, Yashas Malur Saidutta, Ching-Hua Lee, Yilin Shen, Hongxia Jin

ICML 2023 ESC: Exploration with Soft Commonsense Constraints for Zero-Shot Object Navigation Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang

AAAI 2023 GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan

ICLR 2023 Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models Shangqian Gao, Burak Uzkent, Yilin Shen, Heng Huang, Hongxia Jin

NeurIPS 2023 TrojLLM: A Black-Box Trojan Prompt Attack on Large Language Models Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou

ICLR 2022 DictFormer: Tiny Transformer with Shared Dictionary Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

AAAI 2022 Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu

ICLR 2022 Language Model Compression with Weighted Low-Rank Factorization Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin

CVPR 2022 Lite-MDETR: A Lightweight Multi-Modal Detector Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin

AAAI 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin

ICCV 2021 Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning James Smith, Yen-Chang Hsu, Jonathan Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira

IJCAI 2021 Automatic Mixed-Precision Quantization Search of BERT Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin

NeurIPSW 2021 Exploring Covariate and Concept Shift for Out-of-Distribution Detection Junjiao Tian, Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira

ICLR 2021 SAFENet: A Secure, Accurate and Fast Neural Network Inference Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang

CVPR 2020 Generalized ODIN: Detecting Out-of-Distribution Image Without Learning from Out-of-Distribution Data Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira

AAAI 2020 Towards Hands-Free Visual Dialog Interactive Recommendation Tong Yu, Yilin Shen, Hongxia Jin

IJCAI 2019 Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction Yue Deng, Yilin Shen, Hongxia Jin

ICCV 2019 Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded Ramprasaath R. Selvaraju, Stefan Lee, Yilin Shen, Hongxia Jin, Shalini Ghosh, Larry Heck, Dhruv Batra, Devi Parikh

NeurIPS 2019 Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen

IJCAI 2018 Adversarial Active Learning for Sequences Labeling and Generation Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin

IJCAI 2018 Learning Out-of-Vocabulary Words in Intelligent Personal Agents Avik Ray, Yilin Shen, Hongxia Jin

IJCAI 2017 Disguise Adversarial Networks for Click-Through Rate Prediction Yue Deng, Yilin Shen, Hongxia Jin

ECML-PKDD 2016 Differentially Private User Data Perturbation with Multi-Level Privacy Controls Yilin Shen, Rui Chen, Hongxia Jin