← Authors

Mi Zhang

30 papers · 2015–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (60) 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (28) πŸ—ƒοΈ Keyword Collector (136) ⚑ Prolific Year (5) ❓ The Questioner

Conferences

CVPR (7) AAAI (5) ACL (4) NIPS (4) ICLR (3) ICML (3) NAACL (2) ECCV (1) EMNLP (1)

Top co-authors

Min Yang (12) Zhongwei Wan (7) Shen Yan (5) Daizong Ding (5) Xin Wang (5) Che Liu (4) Yuanmin Huang (4) Hui Shen (4) Xudong Pan (4) Feifei Li (3)

Keywords

adversarial robustness (3) multimodal learning (2) 3d vision (2) neural collapse (2) point cloud classification (2) model compression (2) data privacy (2) neural architecture search (2) adversarial attack (2) deep neural network (2) vision language model (2) report generation (2) medical imaging (2) video understanding (2) adversarial learning (2) knowledge distillation (1) shortcut learning (1) video recognition (1) collaborative filtering (1) contrastive learning (1)

Papers

3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition AAAI 2026
SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse AAAI 2026
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression NAACL 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference NAACL 2025
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory ICML 2025
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression ICLR 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation ACL 2025
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation ACL 2025
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models ICLR 2025
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding ACL 2025
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization CVPR 2025
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024
RRL: Recommendation Reverse Learning AAAI 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling CVPR 2023
SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT ACL 2023
Black-Box Adversarial Attack on Time Series Classification AAAI 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias NIPS 2023
TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images CVPR 2023
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NIPS 2022
Multiview Transformers for Video Recognition CVPR 2022
Deep AutoAugment ICLR 2022
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography NIPS 2022
CATE: Computation-aware Neural Architecture Encoding with Transformers ICML 2021
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution ECCV 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NIPS 2020
Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis EMNLP 2020
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning ICML 2018
Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration CVPR 2015