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Kang Liu — most-cited papers & profile · Generative Models
← authors
·
overview
Kang Liu
46
papers ·
51
citations ·
44
h-index
Zhejiang Chinese Medical University · Beijing Normal-Hong Kong Baptist University · Hong Kong Baptist University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
2018 · 38 citations
PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction
2022 · 8 citations
Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space
2025 · 1 citations
If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
2025 · 1 citations
Constraint Decoupled Latent Diffusion for Protein Backmapping
2024 · 1 citations
NNoculation: Catching BadNets in the Wild
2020 · 1 citations
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
2024 · 1 citations
The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation
2026
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
2025
MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
2026
Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models
2026
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space
2026
Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application
2026
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
2026
From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
2026
Top co-authors
Bingyu Yan
· 1
Chaofan Li
· 1
Chaozhuo Li
· 1
Di He
· 1
Hongjin Qian
· 1
Hongwang Xiao
· 1
Hui Wang
· 1
Jiahao Wang
· 1
Jianlyu Chen
· 1
Kun Luo
· 1
Lei Xiong
· 1
Qiwei Ye
· 1
Topics
Training Techniques
Evaluation
cs.CL
In-Context Learning
RAG
Reinforcement Learning
cs.LG
Fine-Tuning
cs.AI
Model Architecture