Huang, Xin

44 publications

AAAI 2025 Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval Xin Huang, Shilong Wang, Tong Jia, Zhihang Gou, Jingjing Li
AAAI 2025 Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images Min Wang, Xin Huang, Guoqing Zhou, Qifeng Guo, Qing Wang
CVPR 2025 Causal Composition Diffusion Model for Closed-Loop Traffic Generation Haohong Lin, Xin Huang, Tung Phan, David Hayden, Huan Zhang, Ding Zhao, Siddhartha Srinivasa, Eric Wolff, Hongge Chen
ICML 2025 DriveGPT: Scaling Autoregressive Behavior Models for Driving Xin Huang, Eric M Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha Srinivasa
IJCAI 2025 Dynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs Dongyuan Ma, Dongxiao He, Xin Huang
NeurIPS 2025 GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning Haolong Yan, Yeqing Shen, Xin Huang, Jia Wang, Kaijun Tan, Zhixuan Liang, Hongxin Li, Zheng Ge, Osamu Yoshie, Si Li, Xiangyu Zhang, Daxin Jiang
AAAI 2025 Improved Maximin Share Approximations for Chores by Bin Packing Jugal Garg, Xin Huang, Erel Segal-Halevi
NeurIPS 2025 Make Information Diffusion Explainable: LLM-Based Causal Framework for Diffusion Prediction Wenbo Shang, Zihan Feng, Yajun Yang, Xin Huang
CVPR 2025 Material Anything: Generating Materials for Any 3D Object via Diffusion Xin Huang, Tengfei Wang, Ziwei Liu, Qing Wang
AAAI 2025 Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning Wenwen Zhuang, Xin Huang, Xiantao Zhang, Jin Zeng
AAAI 2025 MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen
CVPR 2025 Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion Zexin He, Tengfei Wang, Xin Huang, Xingang Pan, Ziwei Liu
NeurIPS 2025 PROFIT: A Specialized Optimizer for Deep Fine Tuning Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen
AAAI 2025 PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation Hengde Zhu, Xiangyu Kong, Weicheng Xie, Xin Huang, Xilin He, Lu Liu, Linlin Shen, Wei Zhang, Hatice Gunes, Siyang Song
CVPR 2025 Reproducible Vision-Language Models Meet Concepts Out of Pre-Training Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin
CoRL 2025 VLM-AD: End-to-End Autonomous Driving Through Vision-Language Model Supervision Yi Xu, Yuxin Hu, Zaiwei Zhang, Gregory P. Meyer, Siva Karthik Mustikovela, Siddhartha Srinivasa, Eric M. Wolff, Xin Huang
IJCAI 2025 Visual Perturbation and Adaptive Hard Negative Contrastive Learning for Compositional Reasoning in Vision-Language Models Xin Huang, Ruibin Li, Tong Jia, Wei Zheng, Ya Wang
AAAI 2024 G2L-CariGAN: Caricature Generation from Global Structure to Local Features Xin Huang, Yunfeng Bai, Dong Liang, Feng Tian, Jinyuan Jia
CVPR 2024 HumanNorm: Learning Normal Diffusion Model for High-Quality and Realistic 3D Human Generation Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang
IJCAI 2024 Joint Domain Adaptive Graph Convolutional Network Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
ECML-PKDD 2024 MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-Based Regression for Cloud Property Retrieval Xingyan Li, Andrew M. Sayer, Ian T. Carroll, Xin Huang, Jianwu Wang
AAAI 2024 Privileged Prior Information Distillation for Image Matting Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang
ICCV 2023 A Retrospect to Multi-Prompt Learning Across Vision and Language Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo
CVPR 2023 Inverting the Imaging Process by Learning an Implicit Camera Model Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Qing Wang
CVPR 2023 Local Implicit Ray Function for Generalizable Radiance Field Representation Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang
CVPR 2023 MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu, Hongsheng Li
CVPR 2022 HDR-NeRF: High Dynamic Range Neural Radiance Fields Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
CVPR 2022 M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao
ECCV 2022 UniNet: Unified Architecture Search with Convolution, Transformer, and MLP Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu
IJCAI 2020 A Two-Level Reinforcement Learning Algorithm for Ambiguous Mean-Variance Portfolio Selection Problem Xin Huang, Duan Li
WACV 2020 ADNet: Adaptively Dense Convolutional Neural Networks Mingjie Wang, Hao Cai, Xin Huang, Minglun Gong
ECCVW 2020 AIM 2020: Scene Relighting and Illumination Estimation Challenge Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, P. S Hrishikesh, Melvin Kuriakose, C. V. Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng
AAAI 2020 Hyperbolic Interaction Model for Hierarchical Multi-Label Classification Boli Chen, Xin Huang, Lin Xiao, Zixin Cai, Liping Jing
ECCV 2020 Photon-Efficient 3D Imaging with a Non-Local Neural Network Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu
ECCVW 2020 SA-AE for Any-to-Any Relighting Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
IJCAI 2019 Fast Algorithm for K-Truss Discovery on Public-Private Graphs Soroush Ebadian, Xin Huang
IJCAI 2019 IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-Video Generation Kangle Deng, Tianyi Fei, Xin Huang, Yuxin Peng
ICML 2018 Adversarial Attack on Graph Structured Data Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
AAAI 2018 Community Detection in Attributed Graphs: An Embedding Approach Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang
IJCAI 2018 Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized Topics Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
IJCAI 2017 Cross-Modal Common Representation Learning by Hybrid Transfer Network Xin Huang, Yuxin Peng, Mingkuan Yuan
IJCAI 2017 Online Roommate Allocation Problem Guangda Huzhang, Xin Huang, Shengyu Zhang, Xiaohui Bei
AAAI 2016 Assignment and Pricing in Roommate Market Pak Hay Chan, Xin Huang, Zhengyang Liu, Chihao Zhang, Shengyu Zhang
IJCAI 2016 Cross-Media Shared Representation by Hierarchical Learning with Multiple Deep Networks Yuxin Peng, Xin Huang, Jinwei Qi