Zhenheng Tang
17 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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AAAI (3)
ICLR (3)
ICML (3)
NIPS (3)
ACL (2)
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EMNLP (1)
Top co-authors
Keywords
data heterogeneity
(3)
one-shot learning
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federated learning
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neural architecture search
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large language model
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ranking consistency
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communication efficiency
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domain adaptation
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distributed learning
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non-convex optimization
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language model evaluation
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model architecture
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convergence analysis
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model editing
(1)
benchmark evaluation
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data privacy
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knowledge editing
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safety alignment
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bayesian network
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model fusion
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Papers
GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging
AAAI 2026
CloneMem: Benchmarking Long-Term Memory for AI Clones
ACL 2026
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
ICLR 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs
ACL 2025
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
ICLR 2025
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
ICML 2025
One-shot Federated Learning Methods: A Practical Guide
IJCAI 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NIPS 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
NIPS 2024
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
NIPS 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
ICLR 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
ICML 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