NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (104)

cs.CV2026

Monocular Depth Estimation via Neural Network with Learnable Algebraic Group and Ring Structures

Qianlei Wang, Kexun Chen, Shaolin Zhang +3

cs.LG2026

HERO: History-Enriched Rollout Training for Long-Horizon Autoregressive Neural Operators

Jiaquan Zhang, Shuxu Chen, Haifan Meng +6

cs.CV2022

On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning

Trung Pham, Chaoning Zhang, Axi Niu +2

cs.CV2023

Robustness of SAM: Segment Anything Under Corruptions and Beyond

Yu Qiao, Chaoning Zhang, Taegoo Kang +3

cs.AI2026

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization

Xudong Wang, Chaoning Zhang, Jiaquan Zhang +8

cs.CV2020

ResNet or DenseNet? Introducing Dense Shortcuts to ResNet

Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw +5

cs.CV2023

Segment Anything Meets Semantic Communication

Shehbaz Tariq, Brian Estadimas Arfeto, Chaoning Zhang +1

cs.CV2021

Unrestricted Adversarial Attacks on ImageNet Competition

Yuefeng Chen, Xiaofeng Mao, Yuan He +34

cs.LG2022

A Survey On Universal Adversarial Attack

Chaoning Zhang, Philipp Benz, Chenguo Lin +3

cs.LG2024

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data

Yu Qiao, Chaoning Zhang, Apurba Adhikary +1

cs.CV2024

Internal-External Boundary Attention Fusion for Glass Surface Segmentation

Dongshen Han, Seungkyu Lee, Chaoning Zhang +4

cs.CV2023

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected

Dongsheng Han, Chaoning Zhang, Yu Qiao +5

cs.LG2022

Fast Adversarial Training with Noise Augmentation: A Unified Perspective on RandStart and GradAlign

Axi Niu, Kang Zhang, Chaoning Zhang +4

cs.CV2025

InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models

Shuchang Zhou, Jiwei Wei, Shiyuan He +5

cs.CV2024

Text-to-image Diffusion Models in Generative AI: A Survey

Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang +2

cs.CV2020

Data from Model: Extracting Data from Non-robust and Robust Models

Philipp Benz, Chaoning Zhang, Tooba Imtiaz +1

cs.CV2023

Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions

Xinru Shan, Chaoning Zhang

cs.CV2026

Single Image Reflection Removal with Patch Reflectance Prior

Dongshen Han, Heechan Yoon, Hyukmin Kwon +4

cs.LG2023

MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence

Yu Qiao, Md. Shirajum Munir, Apurba Adhikary +4

cs.LG2023

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material

Mengchun Zhang, Maryam Qamar, Taegoo Kang +4

cs.CV2023

Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape

Chaoning Zhang, Yu Qiao, Shehbaz Tariq +5

cs.AI2023

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?

Chaoning Zhang, Chenshuang Zhang, Sheng Zheng +14

cs.CV2026

Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models

Zijian Liu, Sihan Cao, Pengcheng Zheng +5

cs.CV2023

DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning

Thanh Nguyen, Trung Pham, Chaoning Zhang +3

cs.CL2026

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking

Fachrina Dewi Puspitasari, Chaoning Zhang, Jiaquan Zhang +6

cs.MA2026

Gated Coordination for Efficient Multi-Agent Collaboration in Minecraft Game

HuaDong Jian, Chenghao Li, Haoyu Wang +4

cs.CV2026

Language-Guided Token Compression with Reinforcement Learning in Large Vision-Language Models

Sihan Cao, Jianwei Zhang, Pengcheng Zheng +7

cs.CV2025

Exploring Kernel Transformations for Implicit Neural Representations

Sheng Zheng, Chaoning Zhang, Dongshen Han +4

cs.LG2021

Universal Adversarial Training with Class-Wise Perturbations

Philipp Benz, Chaoning Zhang, Adil Karjauv +1

cs.GR2025

Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions

Muhammad Salman Ali, Chaoning Zhang, Marco Cagnazzo +3

cs.IT2023

Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity

Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun +4

cs.CV2023

MobileSAMv2: Faster Segment Anything to Everything

Chaoning Zhang, Dongshen Han, Sheng Zheng +3

cs.LG2026

TF-SNO: Time-Frequency Gated Spectral Neural Operators for Learning Non-Stationary Partial Differential Equations

Yitian Zhou, Chaoning Zhang, Zhenzhen Huang +8

cs.CV2023

Toward a Deeper Understanding: RetNet Viewed through Convolution

Chenghao Li, Chaoning Zhang

cs.CL2026

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models

Jiaquan Zhang, Qigan Sun, Chaoning Zhang +11

cs.LG2026

Geometric Neural Operators via Lie Group-Constrained Latent Dynamics

Jiaquan Zhang, Fachrina Dewi Puspitasari, Songbo Zhang +7

cs.CV2023

Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management

Junha Song, Kwanyong Park, InKyu Shin +3

cs.CV2020

CD-UAP: Class Discriminative Universal Adversarial Perturbation

Chaoning Zhang, Philipp Benz, Tooba Imtiaz +1

eess.IV2025

Joint Lossless Compression and Steganography for Medical Images via Large Language Models

Pengcheng Zheng, Xiaorong Pu, Kecheng Chen +8

cs.CL2024

A Complete Survey on LLM-based AI Chatbots

Sumit Kumar Dam, Choong Seon Hong, Yu Qiao +1

cs.HC2023

What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era

Lik-Hang Lee, Pengyuan Zhou, Chaoning Zhang +1

cs.LG2021

Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective

Philipp Benz, Chaoning Zhang, In So Kweon

cs.CV2024

FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity

Yu Qiao, Huy Q. Le, Mengchun Zhang +3

cs.CV2023

Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples

Chenshuang Zhang, Chaoning Zhang, Taegoo Kang +3

cs.CV2025

Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation

Qilong Zhang, Youheng Sun, Chaoning Zhang +4

cs.SD2023

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI

Chenshuang Zhang, Chaoning Zhang, Sheng Zheng +4

cs.CV2023

When ChatGPT for Computer Vision Will Come? From 2D to 3D

Chenghao Li, Chaoning Zhang

cs.NE2026

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models

Xudong Wang, Chaoning Zhang, Chenghao Li +10

cs.CV2024

Black-box Targeted Adversarial Attack on Segment Anything (SAM)

Sheng Zheng, Chaoning Zhang, Xinhong Hao

cs.LG2022

Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo

Chaoning Zhang, Kang Zhang, Trung X. Pham +4

cs.AI2026

From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection

Ke Liu, Jiwei Wei, Wenyu Zhang +5

cs.AI2026

Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain

Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9

cs.CV2026

Topology-Aware Layer Pruning for Large Vision-Language Models

Pengcheng Zheng, Chaoning Zhang, Ya Wen +10

cs.CV2026

RCP: Representation Consistency Pruner for Mitigating Distribution Shift in Large Vision-Language Models

Jianwei Zhang, Chaoning Zhang, Sihan Cao +7

cs.LG2026

Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning

Tong Yang, Yemin Wang, Chaoning Zhang +1

cs.CV2024

Towards Robust Federated Learning via Logits Calibration on Non-IID Data

Yu Qiao, Apurba Adhikary, Chaoning Zhang +1

cs.LG2020

Double Targeted Universal Adversarial Perturbations

Philipp Benz, Chaoning Zhang, Tooba Imtiaz +1

cs.LG2026

Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?

Yunusa Haruna, Adamu Lawan, Ibrahim Haruna Abdulhamid +4

cs.LG2021

Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy

Philipp Benz, Chaoning Zhang, Adil Karjauv +1

cs.CL2026

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing

Jinyu Guo, Zhihan Zhang, Jiehui Xie +7

cs.CV2022

A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond

Chaoning Zhang, Chenshuang Zhang, Junha Song +3

cs.CR2024

Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach

Luyao Zou, Quang Hieu Vo, Kitae Kim +4

cs.CV2022

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness

Chaoning Zhang, Kang Zhang, Chenshuang Zhang +4

cs.AI2026

Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search

Ping Guo, Chao Li, Yinglan Feng +1

cs.CV2024

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era

Chenghao Li, Chaoning Zhang, Joseph Cho +6

cs.AI2026

Sora as a World Model? A Complete Survey on Text-to-Video Generation

Fachrina Dewi Puspitasari, Chaoning Zhang, Joseph Cho +13

cs.CV2026

GRASP: Guided Region-Aware Sparse Prompting for Adapting MLLMs to Remote Sensing

Qigan Sun, Chaoning Zhang, Jianwei Zhang +8

cs.LG2021

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective

Chaoning Zhang, Philipp Benz, Adil Karjauv +1

cs.LG2022

Investigating Top-$k$ White-Box and Transferable Black-box Attack

Chaoning Zhang, Philipp Benz, Adil Karjauv +3

cs.CV2026

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps

Jianwei Zhang, Sihan Cao, Chaoning Zhang +7

cs.LG2023

Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks

Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon +3

cs.CL2026

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt

Zhenzhen Huang, Chaoning Zhang, Fachrina Dewi Puspitasari +4

cs.CV2024

Interpreting and Improving Attention From the Perspective of Large Kernel Convolution

Chenghao Li, Chaoning Zhang, Boheng Zeng +7

cs.IR2025

Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation

Guojia An, Jie Zou, Jiwei Wei +3

cs.CV2023

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Chaoning Zhang, Dongshen Han, Yu Qiao +4

eess.IV2020

Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach

Chaoning Zhang, Adil Karjauv, Philipp Benz +1

cs.AI2026

Experience Transfer for Multimodal LLM Agents in Minecraft Game

Chenghao Li, Jun Liu, Songbo Zhang +7

cs.LG2026

Autoregression-Free Neural Operators for Time-Dependent PDEs

Jiaquan Zhang, Caiyan Qin, Haoyu Bian +7

cs.LG2024

CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning

Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey +2

cs.CV2021

Restoration of Video Frames from a Single Blurred Image with Motion Understanding

Dawit Mureja Argaw, Junsik Kim, Francois Rameau +2

cs.CV2025

Fast SAM2 with Text-Driven Token Pruning

Avilasha Mandal, Chaoning Zhang, Fachrina Dewi Puspitasari +6

cs.CY2023

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era

Chaoning Zhang, Chenshuang Zhang, Chenghao Li +13

cs.CL2026

Text summarization via global structure awareness

Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9

cs.CL2025

Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution

Chenghao Li, Chaoning Zhang, Yi Lu +7

cs.CV2026

vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual Recognition

Yunusa Haruna, Adamu Lawan, Shamsuddeen Hassan Muhammad +2

cs.LG2024

Towards Understanding Dual BN In Hybrid Adversarial Training

Chenshuang Zhang, Chaoning Zhang, Kang Zhang +3

cs.CR2022

A Brief Survey on Deep Learning Based Data Hiding

Chaoning Zhang, Chenguo Lin, Philipp Benz +3

cs.LG2023

FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning

Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal +3

cs.CV2024

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

Chaoning Zhang, Joseph Cho, Fachrina Dewi Puspitasari +11

cs.CV2026

Unconstrained Multi-view Human Pose Estimation with Algebraic Priors

Xiaolin Qin, Qianlei Wang, Jiacen Liu +3

cs.CV2021

Revisiting Batch Normalization for Improving Corruption Robustness

Philipp Benz, Chaoning Zhang, Adil Karjauv +1

cs.CV2020

Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations

Chaoning Zhang, Philipp Benz, Tooba Imtiaz +1

cs.CL2026

Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs

Xudong Wang, Chaoning Zhang, Qigan Sun +7

cs.AI2026

Lightweight LLM Agent Memory with Small Language Models

Jiaquan Zhang, Chaoning Zhang, Shuxu Chen +9

cs.AI2026

CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning

Shuxu Chen, Yitian Zhou, Jiaquan Zhang +6

cs.AI2026

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration

Haoyu Bian, Chaoning Zhang, Jiaquan Zhang +4

cs.AI2026

Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis

Chenghao Li, Chaoning Zhang, Yi Lu +10

cs.CL2026

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors

Yitian Zhou, Chaoning Zhang, Jiaquan Zhang +6

cs.LG2026

Rethinking Input Domains in Physics-Informed Neural Networks via Geometric Compactification Mappings

Zhenzhen Huang, Haoyu Bian, Jiaquan Zhang +6

cs.CV2026

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models

Pengcheng Zheng, Chaoning Zhang, Jiarong Mo +8