Ning Zhang
50 papers · 2013–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (13)
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Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π¬
Deep Specialist
(11)
β‘
Prolific Year
(9)
ποΈ
Keyword Collector
(269)
π
Century Club
(47)
β
The Questioner
π₯
Unstoppable
(13)
π
Conference Pioneer
Conferences
CVPR (19)
ACL (5)
EMNLP (5)
AAAI (4)
ICCV (3)
ICML (3)
NIPS (3)
ECCV (2)
OSDI (2)
IJCAI (1)
NAACL (1)
RSS (1)
WACV (1)
Top co-authors
Research topics
Keywords
multimodal learning
(6)
large language model
(5)
convolutional neural network
(5)
diffusion model
(3)
adversarial learning
(3)
image captioning
(3)
adversarial attack
(2)
few-shot learning
(2)
adversarial training
(2)
named entity recognition
(2)
document understanding
(2)
weakly supervised learning
(2)
weakly-supervised learning
(2)
transfer learning
(2)
feature alignment
(2)
domain adaptation
(2)
self-supervised learning
(2)
feature extraction
(2)
object recognition
(2)
knowledge distillation
(2)
Papers
Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for GlobalβLocal Representation Synergy in Multivariate Time Series Forecasting
AAAI 2026
Protecting Language Models Against Unauthorized Distillation through Trace Rewriting
ACL 2026
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring
ACL 2026
Tintin: A Unified Hardware Performance Profiling Infrastructure to Uncover and Manage Uncertainty
OSDI 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
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
CVPR 2025
Apollo: An Exploration of Video Understanding in Large Multimodal Models
CVPR 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
EMNLP 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
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
Bidirectional Autoregessive Diffusion Model for Dance Generation
CVPR 2024
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis
AAAI 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection
NIPS 2024
Data-flow Availability: Achieving Timing Assurance in Autonomous Systems
OSDI 2024
Deep Video Inverse Tone Mapping Based on Temporal Clues
CVPR 2024
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners
ICML 2024
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts
CVPR 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
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples
CVPR 2023
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation
CVPR 2023
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
ICML 2023
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
PROVES: Establishing Image Provenance Using Semantic Signatures
WACV 2022
Connecting What To Say With Where To Look by Modeling Human Attention Traces
CVPR 2021
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
AAAI 2020
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model
ECCV 2020
Context-Aware Zero-Shot Recognition
AAAI 2020
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
CVPR 2019
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
ICCV 2019
Laplace Landmark Localization
ICCV 2019
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
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning
IJCAI 2018
NITE: A Neural Inductive Teaching Framework for Domain Specific NER
EMNLP 2017
Deep Reinforcement Learning-Based Image Captioning With Embedding Reward
CVPR 2017
Compact Bilinear Pooling
CVPR 2016
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
CVPR 2015
Do Convnets Learn Correspondence?
NIPS 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
ICML 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling
CVPR 2014
Open-vocabulary Object Retrieval
RSS 2014
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction
ICCV 2013