Chen, Zhenghao

13 publications

ICLR 2025 Frame-Voyager: Learning to Query Frames for Video Large Language Models Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xu Xiaolei, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun

ICCV 2025 On-Device Diffusion Transformer Policy for Efficient Robot Manipulation Yiming Wu, Huan Wang, Zhenghao Chen, Jianxin Pang, Dong Xu

NeurIPS 2025 Seeing Is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models Zhentao He, Can Zhang, Ziheng Wu, Zhenghao Chen, Yufei Zhan, Yifan Li, Zhao Zhang, Xian Wang, Minghui Qiu

AAAI 2024 UFDA: Universal Federated Domain Adaptation with Practical Assumptions Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao

CVPR 2023 Neural Vector Fields: Implicit Representation by Explicit Learning Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou

NeurIPSW 2022 Find Your Microenvironments Faster with Neural Spatial LDA Sivaramakrishnan Sankarapandian, Jun Xu, Zhenghao Chen

ECCV 2022 Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu

CVPR 2022 LSVC: A Learning-Based Stereo Video Compression Framework Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu

ECCV 2020 Improving Deep Video Compression by Resolution-Adaptive Flow Coding Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu

ICML 2011 Learning Deep Energy Models Jiquan Ngiam, Zhenghao Chen, Pang Wei Koh, Andrew Y. Ng

ICML 2011 On Random Weights and Unsupervised Feature Learning Andrew M. Saxe, Pang Wei Koh, Zhenghao Chen, Maneesh Bhand, Bipin Suresh, Andrew Y. Ng

NeurIPS 2011 Sparse Filtering Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar, Pang W. Koh, Andrew Y. Ng

NeurIPS 2010 Tiled Convolutional Neural Networks Jiquan Ngiam, Zhenghao Chen, Daniel Chia, Pang W. Koh, Quoc V. Le, Andrew Y. Ng