Zhixuan Chu
17 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (42) 🌍 Conference Polyglot · Silver 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze
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Keyword Collector
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Unstoppable · Bronze
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Prolific Year · Productive
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Research topics
Artificial Intelligence
(12)
Core AI
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Machine Learning
(10)
Deep Learning
(7)
Core Methods
(5)
Natural Language Processing
(4)
Learning Types · Machine Learning
(4)
Architectures
(3)
Resources & Methods
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Models
(2)
Computer Vision
(1)
Keywords
large language model
(7)
time series forecasting
(3)
causal inference
(3)
jailbreak attack
(2)
ai safety
(2)
adversarial attack
(2)
temporal point process
(2)
event sequence
(2)
graph neural network
(2)
attention mechanism
(2)
few-shot learning
(1)
response generation
(1)
multimodal learning
(1)
interpretable machine learning
(1)
dialogue generation
(1)
adversarial learning
(1)
sequence modeling
(1)
self-supervised learning
(1)
zero-shot learning
(1)
prompt learning
(1)
Papers
JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
CVPR 2026
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
ACL 2026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
ACL 2026
Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models
ICCV 2025
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
AAAI 2025
Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models
ICLR 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
ICLR 2025
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
EMNLP 2025
EasyTPP: Towards Open Benchmarking Temporal Point Processes
ICLR 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
AAAI 2024
Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models
ACL 2024
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
AAAI 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
ICLR 2024
Fair Attribute Completion on Graph with Missing Attributes
ICLR 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
NeurIPS 2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting
IJCAI 2023
Incorporating Causal Analysis into Diversified and Logical Response Generation
COLING 2022