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Ning Zhang

48 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (11) ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (269) πŸ’Ž Century Club (47) ❓ The Questioner πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer

Conferences

CVPR (19) EMNLP (5) AAAI (4) ACL (3) ICCV (3) ICML (3) NIPS (3) ECCV (2) OSDI (2) IJCAI (1) NAACL (1) RSS (1) WACV (1)

Top co-authors

Licheng Yu (7) Trevor Darrell (6) Yevgeniy Vorobeychik (5) Han Liu (4) Yuhao Wu (3) Tong Xiao (3) Miao Liu (3) Xiaofang Wang (3) Felix Juefei-Xu (3) Nikhil Mehta (3)

Research topics

Privacy (1) Education (1)

Keywords

multimodal learning (6) large language model (5) convolutional neural network (5) adversarial learning (3) image captioning (3) diffusion model (3) adversarial attack (2) weakly-supervised learning (2) autoregressive model (2) document understanding (2) object recognition (2) few-shot learning (2) image reconstruction (2) transfer learning (2) feature extraction (2) named entity recognition (2) feature alignment (2) weakly supervised learning (2) domain adaptation (2) self-supervised learning (2)

Papers

Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global–Local Representation Synergy in Multivariate Time Series Forecasting AAAI 2026
Apollo: An Exploration of Video Understanding in Large Multimodal Models CVPR 2025
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025
Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method ACL 2025
PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free ACL 2025
Prefix-Enhanced Large Language Models with Reused Training Data in Multi-Turn Medical Dialogue NAACL 2025
Tintin: A Unified Hardware Performance Profiling Infrastructure to Uncover and Manage Uncertainty OSDI 2025
Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs CVPR 2025
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation CVPR 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners ICML 2024
Deep Video Inverse Tone Mapping Based on Temporal Clues CVPR 2024
Bidirectional Autoregessive Diffusion Model for Dance Generation CVPR 2024
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction CVPR 2024
Enhancing Question Answering on Charts Through Effective Pre-training Tasks EMNLP 2024
Sequential LLM Framework for Fashion Recommendation EMNLP 2024
Data-flow Availability: Achieving Timing Assurance in Autonomous Systems OSDI 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection NIPS 2024
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis AAAI 2024
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples CVPR 2023
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023
Revisiting the Stack-Based Inverse Tone Mapping CVPR 2023
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation CVPR 2023
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation CVPR 2023
PROVES: Establishing Image Provenance Using Semantic Signatures WACV 2022
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning EMNLP 2022
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields NIPS 2022
Unsupervised Vision-and-Language Pre-Training via Retrieval-Based Multi-Granular Alignment CVPR 2022
Connecting What To Say With Where To Look by Modeling Human Attention Traces CVPR 2021
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model ECCV 2020
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020
Context-Aware Zero-Shot Recognition AAAI 2020
Laplace Landmark Localization ICCV 2019
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos ICCV 2019
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning IJCAI 2018
Visual Attention Model for Name Tagging in Multimodal Social Media ACL 2018
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence ECCV 2018
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017
NITE: A Neural Inductive Teaching Framework for Domain Specific NER EMNLP 2017
Compact Bilinear Pooling CVPR 2016
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues CVPR 2015
PANDA: Pose Aligned Networks for Deep Attribute Modeling CVPR 2014
Do Convnets Learn Correspondence? NIPS 2014
Open-vocabulary Object Retrieval RSS 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction ICCV 2013