Han Shi
23 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Interdisciplinary Bridge π Academic Marathon (5) π Renaissance Researcher (8) π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (47)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(10)
π
Grand Slam
π€
Dynamic Duo
(16)
β‘
Prolific Year
(5)
π
Century Club
(22)
ποΈ
Keyword Collector
(103)
π₯
Unstoppable
(6)
Conferences
AAAI (4)
ICLR (4)
ACL (3)
NIPS (3)
EMNLP (2)
ICCV (2)
ICML (2)
COLING (1)
CVPR (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(4)
attention mechanism
(4)
transformer architecture
(3)
memory mechanism
(2)
length extrapolation
(2)
self-attention mechanism
(2)
weight sharing
(2)
graph convolutional network
(2)
model compression
(2)
neural architecture search
(2)
link prediction
(1)
object detection
(1)
mathematical reasoning
(1)
image retrieval
(1)
continual learning
(1)
sequence generation
(1)
domain adaptation
(1)
transfer learning
(1)
graph generation
(1)
model architecture
(1)
Papers
DeepWriter: A Multi-Agent Collaboration Framework for Information-rich Ultra-long Book Writing
AAAI 2026
Self-Adjust Softmax
EMNLP 2025
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation
ACL 2025
QuickLLaMA: Query-aware Inference Acceleration for Large Language Models
COLING 2025
Logits-Based Finetuning
EMNLP 2025
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
ICLR 2025
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
ICML 2025
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation
IJCAI 2025
LEGO-Prover: Neural Theorem Proving with Growing Libraries
ICLR 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NIPS 2024
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
ICLR 2024
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
NIPS 2024
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
ACL 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
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism
CVPR 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph
ICLR 2022
AutoBERT-Zero: Evolving BERT Backbone from Scratch
AAAI 2022
SparseBERT: Rethinking the Importance Analysis in Self-attention
ICML 2021
Effective Decoding in Graph Auto-Encoder Using Triadic Closure
AAAI 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
NIPS 2020
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data
AAAI 2020