Changze Lv
22 papers · 2023–2026 · 8 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
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🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (57) 👥 Mega-Team · Squad
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Dynamic Duo
(21)
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Grand Slam
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Prolific Year · Prolific
💎
Century Club · Bronze
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Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(16)
Deep Learning
(15)
Core AI
(13)
Application Areas
(10)
Architectures
(6)
Core Methods
(5)
Learning Types · Deep Learning
(5)
Natural Language Processing
(4)
Learning Paradigms · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Models
(4)
Optimization & Theory · Deep Learning
(4)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Keywords
large language model
(8)
spiking neural network
(5)
parameter-efficient fine-tuning
(3)
text classification
(2)
recommender system
(2)
time series forecasting
(2)
representation engineering
(2)
federated learning
(2)
representation editing
(2)
energy consumption
(2)
edge computing
(2)
model privacy
(2)
code generation
(1)
information retrieval
(1)
multi-task learning
(1)
question answering
(1)
data augmentation
(1)
benchmark evaluation
(1)
unsupervised learning
(1)
knowledge distillation
(1)
Papers
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human–Agent Interaction
ACL 2026
Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling
AAAI 2026
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
ACL 2026
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
ACL 2025
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
IJCAI 2025
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
ICML 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
EMNLP 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Multi-Programming Language Sandbox for LLMs
ACL 2025
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
COLING 2025
Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
ACL 2025
TripTailor: A Real-World Benchmark for Personalized Travel Planning
ACL 2025
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
EMNLP 2025
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NeurIPS 2024
Aligning Large Language Models with Human Preferences through Representation Engineering
ACL 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
ICML 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts
EMNLP 2023
Spiking Convolutional Neural Networks for Text Classification
ICLR 2023