Mi Zhang
32 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (10) π Conference Polyglot (9) π Renaissance Researcher (9) πΊοΈ Taxonomy Completionist (60)
π
Conference Polyglot
(9)
π
Academic Marathon
(10)
πΊοΈ
Taxonomy Completionist
(60)
π€
Dynamic Duo
(10)
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(28)
ποΈ
Keyword Collector
(136)
β‘
Prolific Year
(5)
β
The Questioner
Conferences
CVPR (7)
ACL (6)
AAAI (5)
NIPS (4)
ICLR (3)
ICML (3)
NAACL (2)
ECCV (1)
EMNLP (1)
Top co-authors
Keywords
adversarial robustness
(3)
3d vision
(2)
video understanding
(2)
neural collapse
(2)
point cloud classification
(2)
multimodal learning
(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)
model compression
(2)
adversarial learning
(2)
attention mechanism
(1)
shortcut learning
(1)
video recognition
(1)
collaborative filtering
(1)
contrastive learning
(1)
Papers
RespiraMFM: A Multimodal Foundation Model with Contrastive Audio-Language Alignment for Respiratory Disease Identification
ACL 2026
ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments
ACL 2026
SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse
AAAI 2026
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
AAAI 2026
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
Creating a Lens of Chinese Culture: A Multimodal Dataset for Chinese Pun Rebus Art Understanding
ACL 2025
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
ICML 2025
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
ICLR 2025
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
CVPR 2025
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
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
RRL: Recommendation Reverse Learning
AAAI 2024
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse
CVPR 2024
SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT
ACL 2023
TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
CVPR 2023
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
CVPR 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
NIPS 2023
Black-Box Adversarial Attack on Time Series Classification
AAAI 2023
Multiview Transformers for Video Recognition
CVPR 2022
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
NIPS 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
NIPS 2022
Deep AutoAugment
ICLR 2022
CATE: Computation-aware Neural Architecture Encoding with Transformers
ICML 2021
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?
NIPS 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
AAAI 2020
Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis
EMNLP 2020
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
ECCV 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