EDBT 2026 Demo / reviewers in the wild / expert
Chao-Ting Chen
dblp:66/8181
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
2 papers |
Language models and text generation · 72% Efficient and distributed learning · 22% Vision and language · 6% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 50% Visual content generation and editing · 50% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › decoding › decoding strategy
beam search |
0.9 | 1 | 2025 | Efficient Beam Search for Large Language Models Using Trie-Based Decoding · EMNLP 2025 |
Natural language and speech › Language models and text generation
decoding |
0.9 | 1 | 2025 | Efficient Beam Search for Large Language Models Using Trie-Based Decoding · EMNLP 2025 |
Machine learning › Efficient and distributed learning
inference efficiency |
0.9 | 1 | 2025 | Efficient Beam Search for Large Language Models Using Trie-Based Decoding · EMNLP 2025 |
Natural language and speech › Language models and text generation › large language model inference
KV cache sharing |
0.9 | 1 | 2025 | Efficient Beam Search for Large Language Models Using Trie-Based Decoding · EMNLP 2025 |
Visual content generation and editing › image generation
text-to-image generation |
0.8 | 1 | 2024 | Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations · IJCAI 2024 |
Natural language and speech › Language models and text generation › text summarization
abstractive summarization |
0.3 | 1 | 2025 | Efficient Beam Search for Large Language Models Using Trie-Based Decoding · EMNLP 2025 |
Compilers and program optimization
code generation |
0.3 | 1 | 2025 | Efficient Beam Search for Large Language Models Using Trie-Based Decoding · EMNLP 2025 |
Methods — techniques the papers use, named apart from their topics
trie-based parallel decoding · 1.7KV cache sharing · 1.7vision-language model · 1.5text-to-image model · 1.5large language model · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Efficient Beam Search for Large Language Models Using Trie-Based DecodingabstractThis work presents a novel trie (prefix-tree)based parallel decoding method that addresses the memory inefficiency of batch-based beam search.By sharing a single KV cache across beams with common prefixes, our approach dramatically reduces memory usage and enables efficient decoding.We evaluated our method across three attention architectures, Multi-Head Attention (Phi-3.5-miniinstruct),Grouped Query Attention (Llama-3.1-8B-Instruct),and Sliding Window Attention (Mistral-Small-24B-Instruct-2501), using CN-N/DailyMail for abstractive summarization and HumanEval for code generation.Our experiments demonstrate substantial memory savings (4-8×) and up to 2.4× faster decoding, without compromising generation quality.These results highlight our method's suitability for memory-constrained environments and largescale deployments. Brian J. Chan, Mao Xun Huang, Jui-Hung Cheng, Chao-Ting Chen, Hen-Hsen Huang |
EMNLP | 4 |
| 2024 | Integrating LLM, VLM, and Text-to-Image Models for Enhanced Information Graphics: A Methodology for Accurate and Visually Engaging Visualizations
Chao-Ting Chen, Hen-Hsen Huang |
IJCAI | 1 |