Dong, Xin

33 publications

AAAI 2025 DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo

AAAI 2025 DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, Xiaodan Liang

NeurIPS 2025 Event-Based HDR Structured Light Jiacheng Fu, Yue Li, Xin Dong, Wenming Weng, Yueyi Zhang, Zhiwei Xiong

ICLR 2025 Hymba: A Hybrid-Head Architecture for Small Language Models Xin Dong, Yonggan Fu, Shizhe Diao, Wonmin Byeon, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Shih-Yang Liu, Matthijs Van keirsbilck, Min-Hung Chen, Yoshi Suhara, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov

ICCV 2025 INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling Xin Dong, Shichao Dong, Jin Wang, Jing Huang, Li Zhou, Zenghui Sun, Lihua Jing, Jinsong Lan, Xiaoyong Zhu, Bo Zheng

ICML 2025 LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin

ICLR 2025 LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin

NeurIPS 2025 Nemotron-CLIMB: Clustering-Based Iterative Data Mixture Bootstrapping for Language Model Pre-Training Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan Su, Markus Kliegl, Zijia Chen, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov

NeurIPS 2025 Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan Celine Lin, Pavlo Molchanov

NeurIPS 2025 ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong

ICMLW 2024 A Deeper Look at Depth Pruning of LLMs Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas Breuel, Jan Kautz, David Krueger, Pavlo Molchanov

ECCV 2024 A Simple Background Augmentation Method for Object Detection with Diffusion Model Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu

ECCV 2024 Finding a Needle in a Haystack: A Black-Box Approach to Invisible Watermark Detection Minzhou Pan, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin

CVPR 2024 PAD: Patch-Agnostic Defense Against Adversarial Patch Attacks Lihua Jing, Rui Wang, Wenqi Ren, Xin Dong, Cong Zou

CVPR 2024 Segment Every Out-of-Distribution Object Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo

ICLR 2024 The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory Before In-Context Learning Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite

CVPR 2023 GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang

NeurIPS 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long

AAAI 2023 REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo

CVPR 2022 Dressing in the Wild by Watching Dance Videos Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang

CVPR 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung

ECCV 2022 SphereFed: Hyperspherical Federated Learning Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung

CVPR 2022 SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H.T. Kung, Ziyun Li

ICML 2021 A Free Lunch from ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu

ICCV 2021 MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

AAAI 2020 ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo

ICLR 2020 Additive Powers-of-Two Quantization: An Efficient Non-Uniform Discretization for Neural Networks Yuhang Li, Xin Dong, Wei Wang

AAAI 2020 Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

AAAI 2020 RTN: Reparameterized Ternary Network Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang

AAAI 2018 Cross-Lingual Propagation for Deep Sentiment Analysis Xin Dong, Gerard de Melo

AAAI 2017 A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang

NeurIPS 2017 Learning to Prune Deep Neural Networks via Layer-Wise Optimal Brain Surgeon Xin Dong, Shangyu Chen, Sinno Pan