Ye Tian
37 papers · 2012–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge π Conference Polyglot (15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Polyglot
(15)
π§¬
Topic Evolution
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(159)
β‘
Prolific Year
(10)
π
Conference Pioneer
π
Century Club
(36)
π₯
Unstoppable
(6)
π
Trend Setter
β
The Questioner
(2)
Conferences
ACL (9)
EMNLP (4)
NIPS (4)
COLING (3)
ICLR (3)
AAAI (2)
AISTATS (2)
ICML (2)
JMLR (2)
CVPR (1)
EACL (1)
ICCV (1)
IJCAI (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(5)
data augmentation
(2)
neural machine translation
(2)
compositional generation
(2)
distributed optimization
(2)
mathematical reasoning
(2)
diffusion model
(2)
generative model
(2)
hallucination mitigation
(2)
domain adaptation
(2)
neural network
(2)
monte carlo tree search
(2)
text classification
(1)
embedding space
(1)
temporal difference learning
(1)
accelerated optimization
(1)
ensemble learning
(1)
link prediction
(1)
image classification
(1)
knowledge extraction
(1)
Papers
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
AAAI 2026
DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes
EMNLP 2025
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning
AAAI 2025
V-Oracle: Making Progressive Reasoning in Deciphering Oracle Bones for You and Me
ACL 2025
Donβt Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls
ACL 2025
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
ACL 2025
Multi-Agent Collaboration via Cross-Team Orchestration
ACL 2025
GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
ACL 2025
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
JMLR 2025
Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
IJCAI 2025
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
ICLR 2025
State-of-the-art speech production MRI protocol for new 0.55 Tesla scanners
INTERSPEECH 2024
Self-Consistency Boosts Calibration for Math Reasoning
EMNLP 2024
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
NIPS 2024
ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
CVPR 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
NIPS 2024
VideoTetris: Towards Compositional Text-to-Video Generation
NIPS 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
ACL 2024
Improving LLM Generations via Fine-Grained Self-Endorsement
ACL 2024
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
ICML 2024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
ICLR 2024
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
NIPS 2023
How Are Idioms Processed Inside Transformer Language Models?
ACL 2023
Learning From Free-Text Human Feedback β Collect New Datasets Or Extend Existing Ones?
EMNLP 2023
EQ-Net: Elastic Quantization Neural Networks
ICCV 2023
Quality-Similar Diversity via Population Based Reinforcement Learning
ICLR 2023
Acceleration in Distributed Optimization under Similarity
AISTATS 2022
Huawei BabelTar NMT at WMT22 Biomedical Translation Task: How We Further Improve Domain-specific NMT
EMNLP 2022
Greedy when Sure and Conservative when Uncertain about the Opponents
ICML 2022
Cross-Lingual Transfer with MAML on Trees
EACL 2021
RaSE: Random Subspace Ensemble Classification
JMLR 2021
Learning a Multi-Domain Curriculum for Neural Machine Translation
ACL 2020
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
AISTATS 2020
Resisting Large Data Variations via Introspective Transformation Network
WACV 2020
Aggression Identification and Multi Lingual Word Embeddings
COLING 2018
Update Summarization using a Multi-level Hierarchical Dirichlet Process Model
COLING 2012
Fine-Grained Classification of Named Entities by Fusing Multi-Features
COLING 2012