Hao Fang
45 papers · 2015–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (13) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Academic Marathon (11)
πΊοΈ
Taxonomy Completionist
(11)
π
Interdisciplinary Bridge
π
Conference Polyglot
(13)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(159)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(42)
π₯
Unstoppable
(12)
π
Trend Setter
β
The Questioner
Conferences
ACL (7)
EMNLP (7)
CVPR (6)
ICCV (4)
ECCV (3)
ICLR (3)
IJCAI (3)
MICCAI (3)
NAACL (3)
AAAI (2)
IJCNLP (2)
AACL (1)
WACV (1)
Top co-authors
Keywords
large language model
(5)
multimodal learning
(4)
instance segmentation
(3)
contrastive learning
(3)
intent recognition
(2)
neural network
(2)
conversational ai
(2)
natural language understanding
(2)
language model
(2)
neural network optimization
(2)
representation learning
(2)
vision-language model
(2)
semantic segmentation
(2)
semantic parsing
(2)
adversarial learning
(2)
generative adversarial network
(2)
attention mechanism
(2)
in-context learning
(2)
text classification
(1)
computer vision
(1)
Papers
When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models
ACL 2026
Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models
ACL 2026
Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
AAAI 2026
Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar
WACV 2026
Structure-Aware Cross-Modal Prompt Tuning for Autonomous Bronchoscopic Navigation
MICCAI 2025
GLiM: Integrating Graph Transformer and LLM for Document-Level Biomedical Relation Extraction with Incomplete Labeling
ACL 2025
Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation
MICCAI 2025
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
IJCAI 2025
Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
ICLR 2025
Semantic and Sequential Alignment for Referring Video Object Segmentation
CVPR 2025
Decoupled Motion Expression Video Segmentation
CVPR 2025
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation
CVPR 2025
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
ICLR 2025
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
ICLR 2025
A Conditional Probability Framework for Compositional Zero-shot Learning
ICCV 2025
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
ICCV 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
EMNLP 2025
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
ACL 2024
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
ECCV 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
ECCV 2024
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
ECCV 2024
Language-to-Code Translation with a Single Labeled Example
EMNLP 2024
Unified Physical-Digital Face Attack Detection
IJCAI 2024
Natural Language Decomposition and Interpretation of Complex Utterances
IJCAI 2024
Simultaneous Monocular Endoscopic Dense Depth and Odometry Estimation Using Local-Global Integration Networks
MICCAI 2024
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization
ICCV 2023
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
ACL 2023
Few-Shot Adaptation for Parsing Contextual Utterances with LLMs
IJCNLP 2023
Few-Shot Adaptation for Parsing Contextual Utterances with LLMs
AACL 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
ACL 2023
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
EMNLP 2022
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention
NAACL 2021
RESA: Recurrent Feature-Shift Aggregator for Lane Detection
AAAI 2021
Salient Object Ranking With Position-Preserved Attention
ICCV 2021
Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects
CVPR 2020
A Dynamic Speaker Model for Conversational Interactions
NAACL 2019
Planar Shape Detection at Structural Scales
CVPR 2018
Sounding Board: A User-Centric and Content-Driven Social Chatbot
NAACL 2018
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
EMNLP 2017
Bi-directional Attention with Agreement for Dependency Parsing
EMNLP 2016
Language Models for Image Captioning: The Quirks and What Works
ACL 2015
From Captions to Visual Concepts and Back
CVPR 2015
Language Models for Image Captioning: The Quirks and What Works
IJCNLP 2015
Talking to the crowd: What do people react to in online discussions?
EMNLP 2015
Open-Domain Name Error Detection using a Multi-Task RNN
EMNLP 2015