Jing Huo

152 papers A* 25A 6B 6C 4Misc 2Journal 99Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A continual learning framework with long-term and multiple short-term memory networks.
Neural Networks
Shangge Liu, Lei Wang, Rui Yan, Jing Huo, Wenbin Li, Yang Gao
2026 J jnl
AMPL: An adaptive meta-prompt learner for few-shot image classification.
Neural Networks
Zhiping Wu, Lian Huai, Tong Liu, Zeyu Shangguan, Lei Wang, Jing Huo, Wenbin Li, Yang Gao, Xingqun Jiang
2026 J jnl
AdaClearGrasp: Learning Adaptive Clearing for Zero-Shot Robust Dexterous Grasping in Densely Cluttered Environments.
CoRR
Zixuan Chen, Wenquan Zhang, Jing Fang, Ruiming Zeng, Zhixuan Xu, Yiwen Hou, Xinke Wang, Jieqi Shi, Jing Huo, Yang Gao
2026 A* conf
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning.
AAAI
Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao
2026 J jnl
DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation.
IEEE Robotics Autom. Lett.
Zixuan Chen, Junhui Yin, Yangtao Chen, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yiwen Hou, Yinchuan Li, Yang Gao
2026 J jnl
INHerit-SG: Incremental Hierarchical Semantic Scene Graphs with RAG-Style Retrieval.
CoRR
YukTungSamuel Fang, Zhikang Shi, Jiabin Qiu, Zixuan Chen, Jieqi Shi, Hao Xu, Jing Huo, Yang Gao
2026 A* conf
ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation.
AAAI
Zixuan Chen, Chongkai Gao, Lin Shao, Jieqi Shi, Jing Huo, Yang Gao
2026 J jnl
MoMaStage: Skill-State Graph Guided Planning and Closed-Loop Execution for Long-Horizon Indoor Mobile Manipulation.
CoRR
Chenxu Li, Zixuan Chen, Yetao Li, Jiapeng Xu, Hongyu Ding, Jieqi Shi, Jing Huo, Yang Gao
2026 J jnl
RoTri-Diff: A Spatial Robot-Object Triadic Interaction-Guided Diffusion Model for Bimanual Manipulation.
CoRR
Zixuan Chen, Nga Teng Chan, Yiwen Hou, Chenrui Tie, Zixuan Liu, Haonan Chen, Junting Chen, Jieqi Shi, Yang Gao, Jing Huo, Lin Shao
2026 J jnl
ST-VLA: Enabling 4D-Aware Spatiotemporal Understanding for General Robot Manipulation.
CoRR
You Wu, Zixuan Chen, Cunxu Ou, Wenxuan Wang, Wenbo Huang, Lin Cao, Yangtao Chen, Weichao Qiu, Xingyue Quan, Jieqi Shi, Jing Huo, Yang Gao
2026 J jnl
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning.
CoRR
Siyuan Gan, Jiaheng Liu, Boyan Wang, Tianpei Yang, Runqing Miao, Yuyao Zhang, Fanyu Meng, Junlan Feng, Linjian Meng, Jing Huo, Yang Gao
2026 J jnl
V-Dreamer: Automating Robotic Simulation and Trajectory Synthesis via Video Generation Priors.
CoRR
Songjia He, Zixuan Chen, Hongyu Ding, Dian Shao, Jieqi Shi, Chenxu Li, Jing Huo, Yang Gao
2025 J jnl
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities.
IEEE Trans. Circuits Syst. Video Technol.
Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
2025 Misc conf
A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models.
ICASSP
Kai Chen, Ji Qi, Jing Huo, Pinzhuo Tian, Fanyu Meng, Xi Yang, Yang Gao
2025 A conf
Advancing Safe Language Generation: Exploring Alternative Constrained RLHF.
ICME
Fanyu Meng, Zhixin Bai, Yanming Wang, Jing Huo, Boyan Wang, Xi Yang, Yang Gao
2025 J jnl
Automated C. elegans behavior analysis via deep learning-based detection and tracking.
PLoS Comput. Biol.
Xiaoke Liu, Jianming Liu, Wenjie Teng, Yuzhong Peng, Boao Li, Xiaoqing Han, Jing Huo
2025 A* conf
Causal Information Prioritization for Efficient Reinforcement Learning.
ICLR
Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao
2025 J jnl
Causal Information Prioritization for Efficient Reinforcement Learning.
CoRR
Hongye Cao, Fan Feng, Tianpei Yang, Jing Huo, Yang Gao
2025 — conf
CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning.
ACL (Findings)
Xikang Guan, Zheng Gu, Jing Huo, Tianyu Ding, Yang Gao
2025 J jnl
DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation.
CoRR
Zixuan Chen, Junhui Yin, Yangtao Chen, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yiwen Hou, Yinchuan Li, Yang Gao
2025 J jnl
Dictionary Based Generative Adversarial Network for Multi-Collection Style Transfer.
IEEE Trans. Multim.
Jing Huo, Shiyin Jin, Jiashen Li, Pinzhuo Tian, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2025 J jnl
Efficient Reinforcement Learning with Semantic and Token Entropy for LLM Reasoning.
CoRR
Hongye Cao, Zhixin Bai, Ziyue Peng, Boyan Wang, Tianpei Yang, Jing Huo, Yuyao Zhang, Yang Gao
2025 A* conf
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration.
CVPR
Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, Wenbin Li
2025 A conf
Enhancing Trust-Region Bayesian Optimization via Newton Methods.
ECAI
Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen
2025 J jnl
Enhancing Trust-Region Bayesian Optimization via Newton Methods.
CoRR
Quanlin Chen, Yiyu Chen, Jing Huo, Tianyu Ding, Yang Gao, Yuetong Chen
2025 A* conf
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation.
ICLR
Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao
2025 B conf
HDBO-B: On Benchmarking High-Dimensional Bayesian Optimization.
IJCNN
Yiyu Chen, Hongye Cao, Quanlin Chen, Jing Huo, Dong Li, Xu He, Yang Gao
2025 J jnl
LaViRA: Language-Vision-Robot Actions Translation for Zero-Shot Vision Language Navigation in Continuous Environments.
CoRR
Hongyu Ding, Ziming Xu, Yudong Fang, You Wu, Zixuan Chen, Jieqi Shi, Jing Huo, Yifan Zhang, Yang Gao
2025 J jnl
Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation.
ACM Trans. Multim. Comput. Commun. Appl.
Xiaojie Zhou, Hang Yu, Shengjie Yang, Jing Huo, Pinzhuo Tian
2025 J jnl
Leveraging Frequency Analysis for Image Denoising Network Pruning.
IEEE Trans. Image Process.
Dongdong Ren, Wenbin Li, Jing Huo, Lei Wang, Hongbing Pan, Yang Gao
2025 A* conf
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment.
ICLR
Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J. Su, Yaodong Yang
2025 J jnl
ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation.
CoRR
Zixuan Chen, Chongkai Gao, Lin Shao, Jieqi Shi, Jing Huo, Yang Gao
2025 J jnl
MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems.
CoRR
Kai Chen, Taihang Zhen, Hewei Wang, Kailai Liu, Xinfeng Li, Jing Huo, Tianpei Yang, Jinfeng Xu, Wei Dong, Yang Gao
2025 J jnl
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation.
CoRR
Hongye Cao, Fan Feng, Jing Huo, Shangdong Yang, Meng Fang, Tianpei Yang, Yang Gao
2025 J jnl
Multi-Agent Reinforcement Learning with Communication-Constrained Priors.
CoRR
Guang Yang, Tianpei Yang, Jingwen Qiao, Yanqing Wu, Jing Huo, Xingguo Chen, Yang Gao
2025 J jnl
ONNXPruner: ONNX-Based General Model Pruning Adapter.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
2025 J jnl
R2Q: Towards Robust 2-Bit Large Language Models via Residual Refinement Quantization.
CoRR
Jiayi Chen, Jieqi Shi, Jing Huo, Chen Wu
2025 J jnl
REST: A resolution preserving network for photorealistic style transfer via semantic distillation.
Comput. Vis. Image Underst.
Jing Huo, Zheng Gu, Jiulin Zhang, Xiangde Liu, Shiyin Jin, Pinzhuo Tian, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2025 J jnl
Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning.
CoRR
Jialiang Hong, Taihang Zhen, Kai Chen, Jiaheng Liu, Wenpeng Zhu, Jing Huo, Yang Gao, Depeng Wang, Haitao Wan, Xi Yang, Boyan Wang, Fanyu Meng
2025 J jnl
RoboHiMan: A Hierarchical Evaluation Paradigm for Compositional Generalization in Long-Horizon Manipulation.
CoRR
Yangtao Chen, Zixuan Chen, Nga Teng Chan, Junting Chen, Junhui Yin, Jieqi Shi, Yang Gao, Yong-Lu Li, Jing Huo
2025 J jnl
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation.
CoRR
Zixuan Chen, Jing Huo, Yangtao Chen, Yang Gao
2025 J jnl
Robust Dataset Distillation by Matching Adversarial Trajectories.
CoRR
Wei Lai, Tianyu Ding, Dongdong Ren, Lei Wang, Jing Huo, Yang Gao, Wenbin Li
2025 J jnl
SEA: Semantic Map Prediction for Active Exploration of Uncertain Areas.
CoRR
Hongyu Ding, Xinyue Liang, Yudong Fang, You Wu, Jieqi Shi, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2025 J jnl
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving.
CoRR
Muleilan Pei, Jiayao Shan, Peiliang Li, Jieqi Shi, Jing Huo, Yang Gao, Shaojie Shen
2025 J jnl
SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving.
IEEE Robotics Autom. Lett.
Muleilan Pei, Jiayao Shan, Peiliang Li, Jieqi Shi, Jing Huo, Yang Gao, Shaojie Shen
2025 J jnl
SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks.
CoRR
Hongye Cao, Yanming Wang, Sijia Jing, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, Boyan Wang, Jiaheng Liu, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng
2025 J jnl
State Abstraction via Deep Supervised Hash Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guang Yang, Zheng Xu, Jing Huo, Shangdong Yang, Tianyu Ding, Xingguo Chen, Yang Gao
2025 J jnl
Stitching, Fine-Tuning, and Re-Training: A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging
Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao
2025 J jnl
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL.
CoRR
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2025 A* conf
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning.
ICLR
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2025 J jnl
VITA-VLA: Efficiently Teaching Vision-Language Models to Act via Action Expert Distillation.
CoRR
Shaoqi Dong, Chaoyou Fu, Haihan Gao, Yifan Zhang, Chi Yan, Chu Wu, Xiaoyu Liu, Yunhang Shen, Jing Huo, Deqiang Jiang, Haoyu Cao, Yang Gao, Xing Sun, Ran He, Caifeng Shan
2024 J jnl
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities.
CoRR
Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
2024 J jnl
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model.
CoRR
Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, Yang Gao
2024 J jnl
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model.
ACM Trans. Graph.
Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, Yang Gao
2024 J jnl
Attention-based investigation and solution to the trade-off issue of adversarial training.
Neural Networks
Changbin Shao, Wenbin Li, Jing Huo, Zhenhua Feng, Yang Gao
2024 A conf
Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture.
AAMAS
Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao
2024 J jnl
Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation.
CoRR
Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao
2024 J jnl
Distractor-free Generalizable 3D Gaussian Splatting.
CoRR
Yanqi Bao, Jing Liao, Jing Huo, Yang Gao
2024 Misc conf
Dynamic Replay Training for Class-Incremental Learning.
ICASSP
Yan Yang, Dongdong Ren, Chenglei Peng, Jing Huo, Wenbin Li, Yang Gao
2024 A* conf
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.
CVPR
Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
2024 J jnl
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.
CoRR
Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
2024 J jnl
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation.
CoRR
Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao
2024 A* conf
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.
ICLR
Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
2024 J jnl
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Models Alignment.
CoRR
Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J. Su, Yaodong Yang
2024 — conf
Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-Biased Multi-task Learning.
PRCV (1)
Yunchen Wu, Boyao Shi, Jing Huo, Wenbin Li, Yang Gao, Hao Liu, Yunhao Wang, Tinghao Yu
2024 J jnl
ONNXPruner: ONNX-Based General Model Pruning Adapter.
CoRR
Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
2024 C conf
Privacy-preserving scheme of cotton supply chain based on blockchain.
ISPA
Linlin Zhang, Wenwen Li, Jing Huo, Xuehua Bi, Kai Zhao
2024 — conf
Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization.
PPSN (2)
Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He
2024 A* conf
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization.
NeurIPS
Zixuan Chen, Ze Ji, Jing Huo, Yang Gao
2024 — conf
Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling.
PRCV (2)
Zheng Gu, Wenbin Li, Tianyu Ding, Zhengli Wang, Jing Huo, Kuihua Huang, Yang Gao
2024 J jnl
Towards efficient image and video style transfer via distillation and learnable feature transformation.
Comput. Vis. Image Underst.
Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2024 J jnl
Zero-Shot Video Editing through Adaptive Sliding Score Distillation.
CoRR
Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao
2023 J jnl
A Multilayer Framework for Online Metric Learning.
IEEE Trans. Neural Networks Learn. Syst.
Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
2023 J jnl
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture.
CoRR
Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao
2023 J jnl
Defensive Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo
2023 A conf
Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization.
ECAI
Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao
2023 J jnl
Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification.
Pattern Recognit.
Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao
2023 J jnl
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.
CoRR
Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
2023 J jnl
LibFewShot: A Comprehensive Library for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
2023 A* conf
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery.
CVPR
Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao
2023 J jnl
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings.
Trans. Mach. Learn. Res.
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
2023 A* conf
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.
ACM Multimedia
Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
2023 J jnl
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.
CoRR
Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
2022 J jnl
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix.
CoRR
Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
2022 J jnl
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao
2022 J jnl
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation.
IEEE Trans. Image Process.
Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo
2022 J jnl
CariMe: Unpaired Caricature Generation With Multiple Exaggerations.
IEEE Trans. Multim.
Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
2022 J jnl
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery.
CoRR
Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao
2022 J jnl
Playing Lottery Tickets in Style Transfer Models.
CoRR
Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
2021 J jnl
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation.
CoRR
Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang
2021 J jnl
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl.
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
2021 J jnl
Learning 3D face reconstruction from a single sketch.
Graph. Model.
Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao
2021 J jnl
LibFewShot: A Comprehensive Library for Few-shot Learning.
CoRR
Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
2021 A* conf
LoFGAN: Fusing Local Representations for Few-shot Image Generation.
ICCV
Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
2021 J jnl
Local descriptor-based multi-prototype network for few-shot Learning.
Pattern Recognit.
Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao
2021 J jnl
MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration.
IEEE Trans. Image Process.
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
2021 A* conf
Manifold Alignment for Semantically Aligned Style Transfer.
ICCV
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
2021 J jnl
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
Medical Image Anal.
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
2021 J jnl
Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning.
CoRR
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
2020 A* conf
Asymmetric Distribution Measure for Few-shot Learning.
IJCAI
Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
2020 J jnl
Asymmetric Distribution Measure for Few-shot Learning.
CoRR
Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
2020 A* conf
Biased Feature Learning for Occlusion Invariant Face Recognition.
IJCAI
Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao
2020 J jnl
CariGAN: Caricature generation through weakly paired adversarial learning.
Neural Networks
Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
2020 J jnl
CariMe: Unpaired Caricature Generation with Multiple Exaggerations.
CoRR
Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
2020 B conf
Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation.
IJCNN
Haodi Hou, Jing Huo, Yang Gao
2020 A* conf
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio.
AAAI
Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao
2020 A* conf
Learning Task-aware Local Representations for Few-shot Learning.
IJCAI
Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao
2020 J jnl
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration.
CoRR
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
2020 J jnl
Manifold Alignment for Semantically Aligned Style Transfer.
CoRR
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
2020 J jnl
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
2020 J jnl
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
2020 — conf
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.
ECCV (8)
Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
2020 J jnl
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition.
CoRR
Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
2019 A conf
A Mask Based Deep Ranking Neural Network for Person Retrieval.
ICME
Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao
2019 A* conf
A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification.
ACM Multimedia
Jianrong Chen, Li Yang, Yuanyuan Xu, Jing Huo, Yinghuan Shi, Yang Gao
2019 A* conf
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.
ICCV
Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao
2019 J jnl
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification.
CoRR
Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao
2019 J jnl
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification.
CoRR
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
2019 A* conf
DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification.
ACM Multimedia
Chuanqi Dong, Zheng Gu, Zhonghao Huang, Wen Ji, Jing Huo, Yang Gao
2019 J jnl
Defensive Few-shot Adversarial Learning.
CoRR
Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo
2019 A* conf
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning.
AAAI
Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo
2019 J jnl
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
CoRR
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
2019 — conf
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.
PRICAI (1)
Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen
2019 — conf
NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric.
PAKDD (1)
Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi
2019 J jnl
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification.
CoRR
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
2019 A* conf
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning.
CVPR
Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
2019 J jnl
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning.
CoRR
Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
2018 — conf
A Joint Local and Global Deep Metric Learning Method for Caricature Recognition.
ACCV (4)
Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
2018 J jnl
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning.
CoRR
Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
2018 J jnl
Cross-Domain Adversarial Auto-Encoder.
CoRR
Haodi Hou, Jing Huo, Yang Gao
2018 J jnl
Cross-Modal Metric Learning for AUC Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin
2018 J jnl
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning.
IEEE Trans. Cybern.
Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
2018 B conf
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution.
PRICAI
Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao
2018 J jnl
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification.
CoRR
Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao
2018 J jnl
OPML: A one-pass closed-form solution for online metric learning.
Pattern Recognit.
Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
2018 J jnl
Online Deep Metric Learning.
CoRR
Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
2018 J jnl
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification.
IEEE J. Sel. Top. Signal Process.
Lei Qi, Jing Huo, Xiaocong Fan, Yinghuan Shi, Yang Gao
2018 A conf
WebCaricature: a benchmark for caricature recognition.
BMVC
Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
2017 A* conf
Variation Robust Cross-Modal Metric Learning for Caricature Recognition.
ACM Multimedia (Thematic Workshops)
Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin
2017 J jnl
WebCaricature: a benchmark for caricature face recognition.
CoRR
Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
2016 A* conf
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition.
ACM Multimedia
Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin
2016 J jnl
OPML: A One-Pass Closed-Form Solution for Online Metric Learning.
CoRR
Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
2014 C conf
A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model.
IDEAL
Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi
2014 J jnl
Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos.
Int. J. Neural Syst.
Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin
2012 C conf
Abnormal Event Detection via Multi-Instance Dictionary Learning.
IDEAL
Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin
2012 B conf
Improving semi-automated segmentation by integrating learning with active sampling.
Image Processing
Jing Huo, Kazunori Okada, Matthew S. Brown
2011 B conf
Confidence-based ensemble for GBM brain tumor segmentation.
Image Processing
Jing Huo, Eva M. van Rikxoort, Kazunori Okada, Hyun J. Kim, Whitney B. Pope, Jonathan G. Goldin, Matthew S. Brown
2011 — conf
Sampling-based ensemble segmentation against inter-operator variability.
Computer-Aided Diagnosis
Jing Huo, Kazunori Okada, Whitney B. Pope, Matthew S. Brown
2010 C conf
A Multi-objective Genetic Algorithm Approach Based on the Uniform Design Metmod.
CIS
Xiaoshu Ma, Jing Huo, Qun Wang
2009 J jnl
CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI.
Algorithms
Jing Huo, Kazunori Okada, Hyun J. Kim, Whitney B. Pope, Jonathan G. Goldin, Jeffrey R. Alger, Matthew S. Brown
2009 — conf
Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map.
Computer-Aided Diagnosis
Jing Huo, Hyun J. Kim, Whitney B. Pope, Kazunori Okada, Jeffrey R. Alger, Yang Wang, Jonathan G. Goldin, Matthew S. Brown
2007 B conf
Solid component evaluation in mixed ground glass nodules.
Image Processing
Benjamin L. Odry, Jing Huo, Li Zhang, Carol L. Novak, David P. Naidich