Zhenheng Tang
17 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(13)
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Topic Evolution
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Keyword Champion
(2)
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Keyword Collector
(87)
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The Questioner
(2)
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Top co-authors
Research topics
Artificial Intelligence
(13)
Machine Learning
(13)
Core AI
(9)
Application Areas
(7)
Deep Learning
(6)
Learning Paradigms Β· Artificial Intelligence
(5)
Optimization & Theory Β· Machine Learning
(4)
Natural Language Processing
(3)
Architectures
(3)
Core Methods
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Types
(3)
Resources & Methods
(3)
Optimization & Theory Β· Deep Learning
(2)
Knowledge & Reasoning
(1)
Keywords
federated learning
(5)
data heterogeneity
(4)
one-shot learning
(3)
neural architecture search
(3)
large language model
(3)
communication efficiency
(2)
ranking consistency
(2)
genetic programming
(2)
client drift
(2)
causal inference
(1)
uncertainty quantification
(1)
domain adaptation
(1)
knowledge editing
(1)
convergence analysis
(1)
differential privacy
(1)
quantization
(1)
non-convex optimization
(1)
model editing
(1)
model selection
(1)
model architecture
(1)
Papers
CloneMem: Benchmarking Long-Term Memory for AI Clones
ACL 2026
GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging
AAAI 2026
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
ICML 2025
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
ICLR 2025
MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
ACL 2025
One-shot Federated Learning Methods: A Practical Guide
IJCAI 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
ICLR 2025
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
NeurIPS 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
ICLR 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NeurIPS 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
ICML 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
NeurIPS 2024
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI 2023
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
ICML 2022
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
IJCAI 2019