Han Shi
23 papers · 2020–2026 · 10 venues · across top CS/AI venues
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(16)
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Machine Learning
(16)
Artificial Intelligence
(12)
Deep Learning
(12)
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(10)
Optimization & Theory Β· Machine Learning
(8)
Core Methods
(6)
Models
(6)
Natural Language Processing
(5)
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(3)
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(3)
Keywords
large language model
(6)
attention mechanism
(4)
transformer architecture
(3)
weight sharing
(2)
self-attention mechanism
(2)
mathematical reasoning
(2)
memory mechanism
(2)
autoregressive model
(2)
model compression
(2)
graph convolutional network
(2)
neural architecture search
(2)
length extrapolation
(2)
object detection
(1)
zero-shot learning
(1)
image retrieval
(1)
domain adaptation
(1)
continual learning
(1)
sequence generation
(1)
transfer learning
(1)
model architecture
(1)
Papers
DeepWriter: A Multi-Agent Collaboration Framework for Information-rich Ultra-long Book Writing
AAAI 2026
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
ICLR 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
ACL 2025
Logits-Based Finetuning
EMNLP 2025
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation
IJCAI 2025
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models
COLING 2025
Self-Adjust Softmax
EMNLP 2025
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
ICML 2025
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NeurIPS 2024
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
NeurIPS 2024
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
ACL 2024
LEGO-Prover: Neural Theorem Proving with Growing Libraries
ICLR 2024
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
ICLR 2024
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning
ICCV 2023
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function
ACL 2023
GrowCLIP: Data-Aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-Training
ICCV 2023
AutoBERT-Zero: Evolving BERT Backbone from Scratch
AAAI 2022
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
CVPR 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph
ICLR 2022
SparseBERT: Rethinking the Importance Analysis in Self-attention
ICML 2021
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
NeurIPS 2020
Effective Decoding in Graph Auto-Encoder Using Triadic Closure
AAAI 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
AAAI 2020