Zhenhua Liu
20 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (9) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(38)
π
Interdisciplinary Bridge
π
Conference Polyglot
(9)
π§¬
Topic Evolution
π
Century Club
(16)
ποΈ
Keyword Collector
(74)
π
Trend Setter
π₯
Unstoppable
(5)
Conferences
ACL (5)
CVPR (3)
NIPS (3)
AAAI (2)
COLING (2)
ECCV (1)
ICCV (1)
ICML (1)
IJCNLP (1)
NSDI (1)
Top co-authors
Keywords
large language model
(5)
inference acceleration
(3)
speculative decoding
(2)
diffusion model
(2)
model compression
(2)
benchmark evaluation
(1)
model probing
(1)
transformer architecture
(1)
transfer learning
(1)
variational inference
(1)
image restoration
(1)
question answering
(1)
dialogue generation
(1)
information retrieval
(1)
post-training quantization
(1)
factual knowledge
(1)
supervised learning
(1)
self-attention mechanism
(1)
multi-modal learning
(1)
text summarization
(1)
Papers
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
AAAI 2026
Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT
AAAI 2026
Jakiro: Boosting Speculative Decoding via Decoupled MoE
ACL 2026
Evolutionary Guided Decoding: Iterative Value Refinement for LLMs
ACL 2026
UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions
ACL 2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
COLING 2025
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space
COLING 2024
Probing Language Models for Pre-training Data Detection
ACL 2024
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
NIPS 2024
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
ICCV 2023
Applied Online Algorithms with Heterogeneous Predictors
ICML 2023
Instance-Aware Dynamic Neural Network Quantization
CVPR 2022
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation
CVPR 2022
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
ECCV 2022
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
IJCNLP 2021
Pre-Trained Image Processing Transformer
CVPR 2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
ACL 2021
Post-Training Quantization for Vision Transformer
NIPS 2021
Frequency-Domain Dynamic Pruning for Convolutional Neural Networks
NIPS 2018
HUG: Multi-Resource Fairness for Correlated and Elastic Demands
NSDI 2016