Huang, Jiaxin

15 publications

ICLRW 2025 Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning Chengsong Huang, Langlin Huang, Jiaxin Huang

CVPR 2025 EVolSplat: Efficient Volume-Based Gaussian Splatting for Urban View Synthesis Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao

ICLR 2025 GOFA: A Generative One-for-All Model for Joint Graph Language Modeling Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

NeurIPS 2025 Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space Is All You Need Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li

NeurIPS 2025 MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation Jiaxin Huang, Runnan Chen, Ziwen Li, Zhengqing Gao, Xiao He, Yandong Guo, Mingming Gong, Tongliang Liu

NeurIPS 2025 Surprise3D: A Dataset for Spatial Understanding and Reasoning in Complex 3D Scenes Jiaxin Huang, Ziwen Li, Hanlue Zhang, Runnan Chen, Zhengqing Gao, Xiao He, Yandong Guo, Wenping Wang, Tongliang Liu, Mingming Gong

ICLR 2025 Taming Overconfidence in LLMs: Reward Calibration in RLHF Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang

ICCV 2025 Vivid4D: Improving 4D Reconstruction from Monocular Video by Video Inpainting Jiaxin Huang, Sheng Miao, Bangbang Yang, Yuewen Ma, Yiyi Liao

ECCV 2024 Efficient Depth-Guided Urban View Synthesis Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Liu Bingbing, Andreas Geiger, Yiyi Liao

AAAI 2024 Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu

NeurIPSW 2023 SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning Hector Andres Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Hauke Langer, Chen Liu, Matthias Aleander Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr

ICML 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han

ICCV 2023 VeRi3D: Generative Vertex-Based Radiance Fields for 3D Controllable Human Image Synthesis Xinya Chen, Jiaxin Huang, Yanrui Bin, Lu Yu, Yiyi Liao

NeurIPS 2022 Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han

NeurIPS 2019 Spherical Text Embedding Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance Kaplan, Jiawei Han