Hongcheng Gao
17 papers · 2022–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(3)
💎
Century Club · Bronze
🗃️
Keyword Collector
(94)
Top co-authors
Research topics
Artificial Intelligence
(13)
Core AI
(13)
Machine Learning
(11)
Deep Learning
(8)
Natural Language Processing
(6)
Application Areas
(6)
Learning Types · Machine Learning
(6)
Learning Types · Deep Learning
(5)
Applications
(3)
Models
(3)
Resources & Methods
(3)
Core Methods
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
text classification
(3)
adversarial attack
(3)
model compression
(2)
large language model
(2)
knowledge editing
(2)
benchmark evaluation
(2)
diffusion model
(2)
code generation
(2)
adversarial defense
(2)
parametric knowledge
(2)
backdoor attack
(2)
uncertainty quantification
(1)
natural language processing
(1)
visual question answering
(1)
zero-shot learning
(1)
contrastive learning
(1)
model security
(1)
in-context learning
(1)
image generation
(1)
catastrophic forgetting
(1)
Papers
ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
AAAI 2026
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
ICLR 2025
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
ICCV 2025
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
ICLR 2025
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
EMNLP 2024
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
EMNLP 2024
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
ACL 2024
Emu: Generative Pretraining in Multimodality
ICLR 2024
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
NeurIPS 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
NeurIPS 2024
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis
NeurIPS 2024
Universal Prompt Optimizer for Safe Text-to-Image Generation
NAACL 2024
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NeurIPS 2023
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
NAACL 2022
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
EMNLP 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022