Solid component evaluation in mixed ground glass nodules. - Benjamin L. Odry; Jing Huo; Li Zhang 024; Carol L. Novak; David P. Naidich (Image Processing, 2007)

Histogram-based classification with Gaussian mixture modeling for GBM tumor treatment response using ADC map. - Jing Huo; Hyun J. Kim; Whitney B. Pope; Kazunori Okada; Jeffrey R. Alger; Yang Wang; Jonathan G. Goldin; Matthew S. Brown (Computer-Aided Diagnosis, 2009)

CADrx for GBM Brain Tumors: Predicting Treatment Response from Changes in Diffusion-Weighted MRI. - Jing Huo; Kazunori Okada; Hyun J. Kim; Whitney B. Pope; Jonathan G. Goldin; Jeffrey R. Alger; Matthew S. Brown (Algorithms, 2009)

A Multi-objective Genetic Algorithm Approach Based on the Uniform Design Metmod. - Xiaoshu Ma; Jing Huo; Qun Wang (CIS, 2010)

Sampling-based ensemble segmentation against inter-operator variability. - Jing Huo; Kazunori Okada; Whitney B. Pope; Matthew S. Brown (Computer-Aided Diagnosis, 2011)

Confidence-based ensemble for GBM brain tumor segmentation. - Jing Huo; Eva M. van Rikxoort; Kazunori Okada; Hyun J. Kim; Whitney B. Pope; Jonathan G. Goldin; Matthew S. Brown (Image Processing, 2011)

Abnormal Event Detection via Multi-Instance Dictionary Learning. - Jing Huo; Yang Gao 001; Wanqi Yang; Hujun Yin (IDEAL, 2012)

Improving semi-automated segmentation by integrating learning with active sampling. - Jing Huo; Kazunori Okada; Matthew S. Brown (Image Processing, 2012)

A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. - Yusheng Jia; Yang Gao 001; Wanqi Yang; Jing Huo; Yinghuan Shi (IDEAL, 2014)

Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. - Jing Huo; Yang Gao 001; Wanqi Yang; Hujun Yin (Int. J. Neural Syst., 2014)

Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. - Jing Huo; Yang Gao 001; Yinghuan Shi; Wanqi Yang; Hujun Yin (ACM Multimedia, 2016)

Variation Robust Cross-Modal Metric Learning for Caricature Recognition. - Jing Huo; Yang Gao 001; Yinghuan Shi; Hujun Yin (ACM Multimedia (Thematic Workshops), 2017)

WebCaricature: a benchmark for caricature face recognition. - Jing Huo; Wenbin Li 006; Yinghuan Shi; Yang Gao 001; Hujun Yin (CoRR, 2017)

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. - Wenbin Li 006; Jing Huo; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Jiebo Luo 001 (ACCV (4), 2018)

WebCaricature: a benchmark for caricature recognition. - Jing Huo; Wenbin Li 006; Yinghuan Shi; Yang Gao 001; Hujun Yin (BMVC, 2018)

Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. - Yang Lv; Lei Qi 001; Jing Huo; Hao Wang 013; Yang Gao 001 (PRICAI, 2018)

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification. - Lei Qi 001; Jing Huo; Lei Wang 001; Yinghuan Shi; Yang Gao 001 (CoRR, 2018)

Cross-Domain Adversarial Auto-Encoder. - Haodi Hou; Jing Huo; Yang Gao 001 (CoRR, 2018)

Online Deep Metric Learning. - Wenbin Li 006; Jing Huo; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Jiebo Luo 001 (CoRR, 2018)

Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification. - Lei Qi 001; Jing Huo; Xiaocong Fan; Yinghuan Shi; Yang Gao 001 (IEEE J. Sel. Top. Signal Process., 2018)

OPML: A one-pass closed-form solution for online metric learning. - Wenbin Li 006; Yang Gao 001; Lei Wang 001; Luping Zhou; Jing Huo; Yinghuan Shi (Pattern Recognit., 2018)

Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. - Jing Huo; Yang Gao 001; Yinghuan Shi; Wanqi Yang; Hujun Yin (IEEE Trans. Cybern., 2018)

Cross-Modal Metric Learning for AUC Optimization. - Jing Huo; Yang Gao 001; Yinghuan Shi; Hujun Yin (IEEE Trans. Neural Networks Learn. Syst., 2018)

Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. - Wenbin Li 006; Jinglin Xu; Jing Huo; Lei Wang 001; Yang Gao 001; Jiebo Luo 001 (AAAI, 2019)

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. - Wenbin Li 006; Lei Wang 001; Jinglin Xu; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CVPR, 2019)

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Luping Zhou; Yinghuan Shi; Yang Gao 001 (ICCV, 2019)

A Mask Based Deep Ranking Neural Network for Person Retrieval. - Lei Qi 001; Jing Huo; Lei Wang 001; Yinghuan Shi; Yang Gao 001 (ICME, 2019)

A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification. - Jianrong Chen; Li Yang; Yuanyuan Xu; Jing Huo; Yinghuan Shi; Yang Gao 001 (ACM Multimedia, 2019)

DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification. - Chuanqi Dong; Zheng Gu 001; Zhonghao Huang; Wen Ji; Jing Huo; Yang Gao 001 (ACM Multimedia, 2019)

NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric. - Fan Meng; Yang Gao 001; Jing Huo; Xiaolong Qi; Shichao Yi (PAKDD (1), 2019)

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. - Kelei He; Jing Huo; Yinghuan Shi; Yang Gao 001; Dinggang Shen (PRICAI (1), 2019)

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Yinghuan Shi; Yang Gao 001 (CoRR, 2019)

GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Yinghuan Shi; Yang Gao 001 (CoRR, 2019)

Defensive Few-shot Adversarial Learning. - Wenbin Li 006; Lei Wang 001; Xingxing Zhang; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CoRR, 2019)

Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. - Xiao Liu; Wenbin Li 006; Jing Huo; Lili Yao; Yang Gao 001 (AAAI, 2020)

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. - Wen Ji; Kelei He; Jing Huo; Zheng Gu 001; Yang Gao 001 (ECCV (8), 2020)

Learning Task-aware Local Representations for Few-shot Learning. - Chuanqi Dong; Wenbin Li 006; Jing Huo; Zheng Gu 001; Yang Gao 001 (IJCAI, 2020)

Asymmetric Distribution Measure for Few-shot Learning. - Wenbin Li 006; Lei Wang 001; Jing Huo; Yinghuan Shi; Yang Gao 001; Jiebo Luo 001 (IJCAI, 2020)

Biased Feature Learning for Occlusion Invariant Face Recognition. - Changbin Shao; Jing Huo; Lei Qi 001; Zhenhua Feng 001; Wenbin Li 006; Chuanqi Dong; Yang Gao 001 (IJCAI, 2020)

Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. - Haodi Hou; Jing Huo; Yang Gao 001 (IJCNN, 2020)

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. - Kelei He; Chunfeng Lian; Ehsan Adeli 001; Jing Huo; Yinghuan Shi; Yang Gao 001; Bing Zhang 012; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

CariGAN: Caricature generation through weakly paired adversarial learning. - Wenbin Li 006; Wei Xiong 008; Haofu Liao; Jing Huo; Yang Gao 001; Jiebo Luo 001 (Neural Networks, 2020)

Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Yinghuan Shi; Yang Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

LoFGAN: Fusing Local Representations for Few-shot Image Generation. - Zheng Gu 001; Wenbin Li 006; Jing Huo; Lei Wang 001; Yang Gao 001 (ICCV, 2021)

Manifold Alignment for Semantically Aligned Style Transfer. - Jing Huo; Shiyin Jin; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yinghuan Shi; Yang Gao 001 (ICCV, 2021)

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. - Kelei He; Wen Ji; Tao Zhou 002; Zhuoyuan Li; Jing Huo; Xin Zhang 013; Yang Gao 001; Dinggang Shen; Bing Zhang 012; Junfeng Zhang (CoRR, 2021)

Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning. - Wenbin Li 006; Xuesong Yang; Meihao Kong; Lei Wang 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CoRR, 2021)

Learning 3D face reconstruction from a single sketch. - Li Yang; Jing Wu 004; Jing Huo; Yu-Kun Lai; Yang Gao 001 (Graph. Model., 2021)

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. - Kelei He; Chunfeng Lian; Ehsan Adeli 001; Jing Huo; Yang Gao 001; Bing Zhang 012; Junfeng Zhang; Dinggang Shen (Medical Image Anal., 2021)

Local descriptor-based multi-prototype network for few-shot Learning. - Hongwei Huang; Zhangkai Wu; Wenbin Li 006; Jing Huo; Yang Gao 001 (Pattern Recognit., 2021)

MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration. - Haodi Hou; Jing Huo; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (IEEE Trans. Image Process., 2021)

GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Yinghuan Shi; Yang Gao 001 (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Playing Lottery Tickets in Style Transfer Models. - Meihao Kong; Jing Huo; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (CoRR, 2022)

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix. - Wenbin Li 006; Meihao Kong; Xuesong Yang; Lei Wang 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CoRR, 2022)

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. - Lei Qi 001; Lei Wang 001; Jing Huo; Yinghuan Shi; Xin Geng 001; Yang Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. - Jing Huo; Xiangde Liu; Wenbin Li 006; Yang Gao 001; Hujun Yin; Jiebo Luo 001 (IEEE Trans. Image Process., 2022)

CariMe: Unpaired Caricature Generation With Multiple Exaggerations. - Zheng Gu 001; Chuanqi Dong; Jing Huo; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Multim., 2022)

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. - Wenbin Li 006; Zhichen Fan; Jing Huo; Yang Gao 001 (CVPR, 2023)

Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. - Hongye Cao; Shangdong Yang; Jing Huo; Xingguo Chen; Yang Gao 001 (ECAI, 2023)

Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. - Yanqi Bao; Yuxin Li; Jing Huo; Tianyu Ding; Xinyue Liang; Wenbin Li 006; Yang Gao 001 (ACM Multimedia, 2023)

CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture. - Zixuan Chen; Ze Ji; Shuyang Liu; Jing Huo; Yiyu Chen; Yang Gao 001 (CoRR, 2023)

Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings. - Wenbin Li 006; Xuesong Yang; Meihao Kong; Lei Wang 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (Trans. Mach. Learn. Res., 2023)

Defensive Few-Shot Learning. - Wenbin Li 006; Lei Wang 001; Xingxing Zhang; Lei Qi 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification. - Boyao Shi; Wenbin Li 006; Jing Huo; Pengfei Zhu; Lei Wang 001; Yang Gao 001 (Pattern Recognit., 2023)

A Multilayer Framework for Online Metric Learning. - Wenbin Li 006; Yanfang Liu; Jing Huo; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Jiebo Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

LibFewShot: A Comprehensive Library for Few-Shot Learning. - Wenbin Li 006; Ziyi Wang; Xuesong Yang; Chuanqi Dong; Pinzhuo Tian; Tiexin Qin; Jing Huo; Yinghuan Shi; Lei Wang 001; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture. - Zixuan Chen; Ze Ji; Shuyang Liu; Jing Huo; Yiyu Chen; Yang Gao 001 (AAMAS, 2024)

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. - Wenxiao Deng; Wenbin Li 006; Tianyu Ding; Lei Wang 001; Hongguang Zhang; Kuihua Huang; Jing Huo; Yang Gao 001 (CVPR, 2024)

Dynamic Replay Training for Class-Incremental Learning. - Yan Yang; Dongdong Ren; Chenglei Peng; Jing Huo; Wenbin Li 006; Yang Gao 001 (ICASSP, 2024)

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. - Yanqi Bao; Tianyu Ding; Jing Huo; Wenbin Li 006; Yuxin Li; Yang Gao 001 (ICLR, 2024)

Privacy-preserving scheme of cotton supply chain based on blockchain. - Linlin Zhang; Wenwen Li; Jing Huo; Xuehua Bi; Kai Zhao (ISPA, 2024)

SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization. - Zixuan Chen; Ze Ji; Jing Huo; Yang Gao 001 (NeurIPS, 2024)

Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. - Quanlin Chen; Jing Huo; Yiyu Chen; Tianyu Ding; Yang Gao 001; Dong Li 016; Xu He (PPSN (2), 2024)

Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling. - Zheng Gu 001; Wenbin Li 006; Tianyu Ding; Zhengli Wang; Jing Huo; Kuihua Huang; Yang Gao 001 (PRCV (2), 2024)

Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-Biased Multi-task Learning. - Yunchen Wu; Boyao Shi; Jing Huo; Wenbin Li 006; Yang Gao 001; Hao Liu; Yunhao Wang; Tinghao Yu (PRCV (1), 2024)

Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. - Shumeng Li; Lei Qi 001; Qian Yu; Jing Huo; Yinghuan Shi; Yang Gao 001 (CoRR, 2024)

Zero-Shot Video Editing through Adaptive Sliding Score Distillation. - Lianghan Zhu; Yanqi Bao; Jing Huo; Jing Wu 004; Yu-Kun Lai; Wenbin Li 006; Yang Gao 001 (CoRR, 2024)

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Models Alignment. - Mingzhi Wang; Chengdong Ma; Qizhi Chen; Linjian Meng; Yang Han; Jiancong Xiao; Zhaowei Zhang; Jing Huo; Weijie J. Su; Yaodong Yang 001 (CoRR, 2024)

Distractor-free Generalizable 3D Gaussian Splatting. - Yanqi Bao; Jing Liao 001; Jing Huo; Yang Gao 001 (CoRR, 2024)

Towards efficient image and video style transfer via distillation and learnable feature transformation. - Jing Huo; Meihao Kong; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (Comput. Vis. Image Underst., 2024)

Attention-based investigation and solution to the trade-off issue of adversarial training. - Changbin Shao; Wenbin Li 006; Jing Huo; Zhenhua Feng 001; Yang Gao 001 (Neural Networks, 2024)

Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model. - Zheng Gu 001; Shiyuan Yang; Jing Liao 001; Jing Huo; Yang Gao 001 (ACM Trans. Graph., 2024)

CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning. - Xikang Guan; Zheng Gu 001; Jing Huo; Tianyu Ding; Yang Gao 001 (ACL (Findings), 2025)

Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration. - Yiyang Chen; Tianyu Ding; Lei Wang 001; Jing Huo; Yang Gao 001; Wenbin Li 006 (CVPR, 2025)

A Self-Evolving Framework for Multi-Agent Medical Consultation Based on Large Language Models. - Kai Chen 026; Ji Qi; Jing Huo; Pinzhuo Tian; Fanyu Meng; Xi Yang; Yang Gao 001 (ICASSP, 2025)

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. - Hongye Cao; Fan Feng; Meng Fang; Shaokang Dong; Tianpei Yang; Jing Huo; Yang Gao 001 (ICLR, 2025)

Causal Information Prioritization for Efficient Reinforcement Learning. - Hongye Cao; Fan Feng; Tianpei Yang; Jing Huo; Yang Gao 001 (ICLR, 2025)

GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation. - Yangtao Chen; Zixuan Chen; Junhui Yin; Jing Huo; Pinzhuo Tian; Jieqi Shi; Yang Gao 001 (ICLR, 2025)

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment. - Mingzhi Wang; Chengdong Ma; Qizhi Chen; Linjian Meng; Yang Han; Jiancong Xiao; Zhaowei Zhang; Jing Huo; Weijie J. Su; Yaodong Yang 001 (ICLR, 2025)

Leveraging Frequency Analysis for Image Denoising Network Pruning. - Dongdong Ren; Wenbin Li 006; Jing Huo; Lei Wang 001; Hongbing Pan; Yang Gao 001 (IEEE Trans. Image Process., 2025)

RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation. - Zixuan Chen; Jing Huo; Yangtao Chen; Yang Gao 001 (CoRR, 2025)

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL. - Hongye Cao; Fan Feng; Meng Fang; Shaokang Dong; Tianpei Yang; Jing Huo; Yang Gao 001 (CoRR, 2025)

SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks. - Hongye Cao; Yanming Wang; Sijia Jing; Ziyue Peng; Zhixin Bai; Zhe Cao; Meng Fang; Fan Feng; Boyan Wang; Jiaheng Liu; Tianpei Yang; Jing Huo; et al. (CoRR, 2025)

Robust Dataset Distillation by Matching Adversarial Trajectories. - Wei Lai; Tianyu Ding; Dongdong Ren; Lei Wang 001; Jing Huo; Yang Gao 001; Wenbin Li 006 (CoRR, 2025)

Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation. - Hongye Cao; Fan Feng; Jing Huo; Shangdong Yang; Meng Fang; Tianpei Yang; Yang Gao 001 (CoRR, 2025)

DeCo: Task Decomposition and Skill Composition for Zero-Shot Generalization in Long-Horizon 3D Manipulation. - Zixuan Chen; Junhui Yin; Yangtao Chen; Jing Huo; Pinzhuo Tian; Jieqi Shi; Yiwen Hou; Yinchuan Li; Yang Gao 001 (CoRR, 2025)

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems. - Kai Chen 026; Taihang Zhen; Hewei Wang 001; Kailai Liu; Xinfeng Li; Jing Huo; Tianpei Yang; Jinfeng Xu 003; Wei Dong; Yang Gao 001 (CoRR, 2025)

ONNXPruner: ONNX-Based General Model Pruning Adapter. - Dongdong Ren; Wenbin Li 006; Tianyu Ding; Lei Wang 001; Qi Fan; Jing Huo; Hongbing Pan; Yang Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving. - Muleilan Pei; Jiayao Shan; Peiliang Li 001; Jieqi Shi; Jing Huo; Yang Gao 001; Shaojie Shen (IEEE Robotics Autom. Lett., 2025)

3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. - Yanqi Bao; Tianyu Ding; Jing Huo; Yaoli Liu; Yuxin Li; Wenbin Li 006; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

State Abstraction via Deep Supervised Hash Learning. - Guang Yang; Zheng Xu; Jing Huo; Shangdong Yang; Tianyu Ding; Xingguo Chen; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning. - Jialiang Hong; Taihang Zhen; Kai Chen 026; Jiaheng Liu; Wenpeng Zhu; Jing Huo; Yang Gao 001; Depeng Wang; Haitao Wan; Xi Yang; Boyan Wang; Fanyu Meng (CoRR, 2025)