Gao Huang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 276

Top Venues

Publications

Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Cheng Wu, Shiji Song, Gao Huang
Joint representation learning for text and 3D point cloud. Pattern Recognit. 147 (2024)
Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR (2024)
Jinchao Zhu, Yuxuan Wang, Siyuan Pan, Pengfei Wan, Di Zhang, Gao Huang
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies. CoRR (2024)
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation. CoRR (2024)
Lei Ren, Haiteng Wang, Gao Huang
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Le Yang, Ziwei Zheng, Jian Wang, Shiji Song, Gao Huang, Fan Li
AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks. IEEE Trans. Cogn. Dev. Syst. 16 (1) (2024)
Yulin Wang, Yang Yue, Rui Lu, Yizeng Han, Shiji Song, Gao Huang
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training. CoRR (2024)
Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering. CoRR (2024)
Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis. CoRR (2024)
Gao Huang, Song Li
Geometric Characteristic in Phaseless Operator and Structured Matrix Recovery. CoRR (2024)
Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu
Exploring Text-to-Motion Generation with Human Preference. CoRR (2024)
Chunjiang Ge, Sijie Cheng, Ziming Wang, Jiale Yuan, Yuan Gao, Jun Song, Shiji Song, Gao Huang, Bo Zheng
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models. CoRR (2024)
Gao Huang, Song Li
Low-Rank Toeplitz Matrix Restoration: Descent Cone Analysis and Structured Random Matrix. CoRR (2024)
Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation. CoRR (2024)
Ziwei Zheng, Le Yang, Yulin Wang, Miao Zhang, Lijun He, Gao Huang, Fan Li
Dynamic Spatial Focus for Efficient Compressed Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 34 (2) (2024)
Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR (2024)
Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. AAAI (2024)
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model. CoRR (2024)
Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. CoRR (2024)
Mixue Xie, Shuang Li, Kaixiong Gong, Yulin Wang, Gao Huang
Adapting Across Domains via Target-Oriented Transferable Semantic Augmentation Under Prototype Constraint. Int. J. Comput. Vis. 132 (4) (2024)
Chaoqun Du, Yizeng Han, Gao Huang
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. CoRR (2024)
Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
Learning 1D Causal Visual Representation with De-focus Attention Networks. CoRR (2024)
Pan Liu, Gao Huang, Jing Jing, Suyan Bian, Liuquan Cheng, Xin Yang Lu, Chongyou Rao, Yu Liu, Yun Hua, Yongjun Wang, Kunlun He
An Energy Matching Vessel Segmentation Framework in 3-D Medical Images. IEEE Trans. Medical Imaging 43 (4) (2024)
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
ExpeL: LLM Agents Are Experiential Learners. AAAI (2024)
Jiayi Guo, Hayk Manukyan, Chenyu Yang, Chaofei Wang, Levon Khachatryan, Shant Navasardyan, Shiji Song, Humphrey Shi, Gao Huang
FaceCLIP: Facial Image-to-Video Translation via a Brief Text Description. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. CoRR (2024)
Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing. CoRR (2024)
Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention. CoRR (2024)
Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang
Fine-Grained Recognition With Learnable Semantic Data Augmentation. IEEE Trans. Image Process. 33 (2024)
Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang
Demystify Mamba in Vision: A Linear Attention Perspective. CoRR (2024)
Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang
DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints. CoRR (2024)
Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang
LLM Agents for Psychology: A Study on Gamified Assessments. CoRR (2024)
Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 54 (2) (2024)
Xuran Pan, Xiaoyan Han, Chaofei Wang, Zhuo Li, Shiji Song, Gao Huang, Cheng Wu
A unified framework for convolution-based graph neural networks. Pattern Recognit. 155 (2024)
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. CoRR (2024)
Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang Li
Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds. ICRA (2023)
Qisen Yang, Shenzhi Wang, Qihang Zhang, Gao Huang, Shiji Song
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance. CoRR (2023)
Xiangjie Yan, Yongpeng Jiang, Guokun Wu, Chen Chen, Gao Huang, Xiang Li
Multi-Modal Interaction Control of Ultrasound Scanning Robots with Safe Human Guidance and Contact Recovery. CoRR (2023)
Guoyu Zuo, Zihao Wang, Daoxiong Gong, Gao Huang
A graph reasoning method for multi-object unordered stacking scenarios. RCAR (2023)
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI (2023)
Lianqiang Han, Xuechao Chen, Zhangguo Yu, Zhifa Gao, Gao Huang, Jintao Zhang, Kenji Hashimoto, Qiang Huang
A heuristic gait template planning and dynamic motion control for biped robots. Robotica 41 (2) (2023)
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Convolution-Enhanced Evolving Attention Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang
FLatten Transformer: Vision Transformer using Focused Linear Attention. CoRR (2023)
Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang
Adaptive Rotated Convolution for Rotated Object Detection. ICCV (2023)
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
Rank-DETR for High Quality Object Detection. NeurIPS (2023)
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang
Boosting Offline Reinforcement Learning with Action Preference Query. ICML (2023)
Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
Augmenting Unsupervised Reinforcement Learning with Self-Reference. CoRR (2023)
Weipu Zhang, Gang Wang, Jian Sun, Yetian Yuan, Gao Huang
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning. CoRR (2023)
Guoyu Zuo, Zhipeng Tian, Gao Huang
A stable data-augmented reinforcement learning method with ensemble exploration and exploitation. Appl. Intell. 53 (21) (2023)
Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang
Dynamic Perceiver for Efficient Visual Recognition. CoRR (2023)
Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang
FLatten Transformer: Vision Transformer using Focused Linear Attention. ICCV (2023)
Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
Deep Incubation: Training Large Models by Divide-and-Conquering. ICCV (2023)
Chunjiang Ge, Shiji Song, Gao Huang
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. AAAI (2023)
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, Jifeng Dai
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. CoRR (2023)
Xiuli Bi, Bo Liu, Fan Yang, Bin Xiao, Weisheng Li, Gao Huang, Pamela C. Cosman
Detecting Generated Images by Real Images Only. CoRR (2023)
Jiayun Li, Yuxiao Cheng, Zhuofan Xia, Yilin Mo, Gao Huang
Generalized Activation via Multivariate Projection. CoRR (2023)
Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. CVPR (2023)
Gao Huang, Song Li, Hang Xu
Robust Outlier Bound Condition to Phase Retrieval with Adversarial Sparse Outliers. CoRR (2023)
Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang
Budgeted Training for Vision Transformer. ICLR (2023)
Rui Huang, Xuran Pan, Henry Zheng, Haojun Jiang, Zhifeng Xie, Shiji Song, Gao Huang
Joint Representation Learning for Text and 3D Point Cloud. CoRR (2023)
Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan
Offline Prioritized Experience Replay. CoRR (2023)
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
ExpeL: LLM Agents Are Experiential Learners. CoRR (2023)
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS (2023)
Sheng-lan Liu, Yu-Ning Ding, Jin-Rong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Feilong Wang, Gao Huang
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. CoRR (2023)
Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm. ICCV (2023)
Gao Huang, Song Li, Hang Xu
Adversarial Phase Retrieval via Nonlinear Least Absolute Deviation. CoRR (2023)
Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. CoRR (2023)
Yizeng Han, Zeyu Liu, Zhihang Yuan, Yifan Pu, Chaofei Wang, Shiji Song, Gao Huang
Latency-aware Unified Dynamic Networks for Efficient Image Recognition. CoRR (2023)
Hangkai Hu, Gao Huang, Xiang Li, Shiji Song
Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Yulin Wang, Yizeng Han, Chaofei Wang, Shiji Song, Qi Tian, Gao Huang
Computation-efficient Deep Learning for Computer Vision: A Survey. CoRR (2023)
Aidi Zhao, Hong Su, Chongyang She, Xiao Huang, Hui Li, Huaiyu Qiu, Zhihong Jiang, Gao Huang
Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint. Comput. Biol. Medicine 158 (2023)
Rui Huang, Songyou Peng, Ayça Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels. CoRR (2023)
Binhui Xie, Shuang Li, Mingjia Li, Chi Harold Liu, Gao Huang, Guoren Wang
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CVPR (2023)
Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. CoRR (2023)
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang
Boosting Offline Reinforcement Learning with Action Preference Query. CoRR (2023)
Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. CVPR (2023)
Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
Zero-shot Generative Model Adaptation via Image-specific Prompt Learning. CoRR (2023)
Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang
Dynamic Perceiver for Efficient Visual Recognition. ICCV (2023)
Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. ICCV (2023)
Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. CoRR (2023)
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. CoRR (2023)
Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang
Adaptive Rotated Convolution for Rotated Object Detection. CoRR (2023)
Haichao Yu, Haoxiang Li, Gang Hua, Gao Huang, Humphrey Shi
Boosted Dynamic Neural Networks. AAAI (2023)
Jiayi Guo, Chaofei Wang, You Wu, Eric Zhang, Kai Wang, Xingqian Xu, Shiji Song, Humphrey Shi, Gao Huang
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning. CVPR (2023)
Xingqian Xu, Jiayi Guo, Zhangyang Wang, Gao Huang, Irfan Essa, Humphrey Shi
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models. CoRR (2023)
Jiayi Guo, Xingqian Xu, Yifan Pu, Zanlin Ni, Chaofei Wang, Manushree Vasu, Shiji Song, Gao Huang, Humphrey Shi
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models. CoRR (2023)
Yifan Pu, Weicong Liang, Yiduo Hao, Yuhui Yuan, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
Rank-DETR for High Quality Object Detection. CoRR (2023)
Yifan Pu, Yizeng Han, Yulin Wang, Junlan Feng, Chao Deng, Gao Huang
Fine-grained Recognition with Learnable Semantic Data Augmentation. CoRR (2023)
Haoxiang Qi, Xuechao Chen, Zhangguo Yu, Gao Huang, Yaliang Liu, Libo Meng, Qiang Huang
Vertical Jump of a Humanoid Robot With CoP-Guided Angular Momentum Control and Impact Absorption. IEEE Trans. Robotics 39 (4) (2023)
Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning. NeurIPS (2023)
Peng Jiang, Shiji Song, Gao Huang
Exploration With Task Information for Meta Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Xuran Pan, Tianzhu Ye, Zhuofan Xia, Shiji Song, Gao Huang
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention. CoRR (2023)
Changyao Tian, Chenxin Tao, Jifeng Dai, Hao Li, Ziheng Li, Lewei Lu, Xiaogang Wang, Hongsheng Li, Gao Huang, Xizhou Zhu
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process. CoRR (2023)
Jinchao Zhu, Yuxuan Wang, Xiaobing Tu, Siyuan Pan, Pengfei Wan, Gao Huang
A-SDM: Accelerating Stable Diffusion through Redundancy Removal and Performance Optimization. CoRR (2023)
Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Shiji Song, Gao Huang
Agent Attention: On the Integration of Softmax and Linear Attention. CoRR (2023)
Xiaochen Zhang, Zhangguo Yu, Xuechao Chen, Gao Huang, Min Zhu, Lingxuan Zhao, Xuejian Qiu, Qiang Huang
Human-Riding Inspired Acceleration Control of a Wheel-Legged Humanoid Robot. CBS (2023)
Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention. CoRR (2023)
Yong Xien Chng, Henry Zheng, Yizeng Han, Xuchong Qiu, Gao Huang
Mask Grounding for Referring Image Segmentation. CoRR (2023)
Honghui Wang, Lu Lu, Shiji Song, Gao Huang
Learning Specialized Activation Functions for Physics-informed Neural Networks. CoRR (2023)

Gao Huang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Gao Huang