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Mi Zhang

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

Achievements

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+10 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (10) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (60)
🌍 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) ACL (6) AAAI (5) NIPS (4) ICLR (3) ICML (3) NAACL (2) ECCV (1) EMNLP (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