Jin, Hongxia

44 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

ICLR 2024 AlpaGasus: Training a Better Alpaca with Fewer Data Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, 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

NeurIPSW 2023 Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, 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

NeurIPSW 2023 Instruction-Following Evaluation Through Verbalizer Manipulation Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin

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

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

AAAI 2022 ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, 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 Negative Data Augmentation Abhishek Sinha, Kumar Ayush, Jiaming Song, Burak Uzkent, Hongxia Jin, Stefano Ermon

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

ECCV 2020 Conditional Image Repainting via Semantic Bridge and Piecewise Value Function Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi

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

CVPR 2020 MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi

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

AAAI 2019 A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System Yu Wang, 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 2018 Network Approximation Using Tensor Sketching Shiva Prasad Kasiviswanathan, Nina Narodytska, 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

ICML 2016 Efficient Private Empirical Risk Minimization for High-Dimensional Learning Shiva Prasad Kasiviswanathan, Hongxia Jin

AAAI 2016 Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network Using Hierarchical Features Lam Tran, Deguang Kong, Hongxia Jin, Ji Liu

AAAI 2012 Content Recommendation for Attention Management in Unified Social Messaging Hongxia Jin

AAAI 2007 Adaptive Traitor Tracing with Bayesian Networks Philip Zigoris, Hongxia Jin