Tianyi Liu
29 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π§ Keyword Pioneer π Cross-Pollinator (9) π Conference Polyglot (12) π Academic Marathon (7) π Renaissance Researcher (9)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(61)
π
Conference Polyglot
(12)
π
Grand Slam
π
Century Club
(28)
β‘
Prolific Year
(6)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(120)
Conferences
EMNLP (5)
ICML (4)
ICLR (3)
NIPS (3)
ACL (2)
AISTATS (2)
ECCV (2)
NAACL (2)
UAI (2)
AAAI (1)
COLING (1)
CVPR (1)
ICCV (1)
Top co-authors
Keywords
neural network
(4)
gradient descent
(4)
relation extraction
(3)
distant supervision
(3)
large language model
(3)
attention mechanism
(2)
nonconvex optimization
(2)
transfer learning
(2)
recommender system
(2)
function calling
(2)
stochastic gradient descent
(2)
non-convex optimization
(2)
noise reduction
(2)
molecular dynamics
(2)
preference learning
(1)
multi-instance learning
(1)
online learning
(1)
natural language processing
(1)
matrix factorization
(1)
reinforcement learning
(1)
Papers
RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion
AAAI 2026
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates
EMNLP 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation
ICCV 2025
KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities
CVPR 2025
Let Models Speak Ciphers: Multiagent Debate through Embeddings
ICLR 2024
A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images
ECCV 2024
LEMON: Lossless model expansion
ICLR 2024
Learning Dynamic Representations for Discourse Dependency Parsing
EMNLP 2023
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method
NIPS 2023
Machine Learning Force Fields with Data Cost Aware Training
ICML 2023
Taxonomy-Structured Domain Adaptation
ICML 2023
Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities
EMNLP 2022
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D
ECCV 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
AISTATS 2022
Fourier Learning with Cyclical Data
ICML 2022
Differentially private multi-party data release for linear regression
UAI 2022
PathFlow: A normalizing flow generator that finds transition paths
UAI 2022
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
AISTATS 2021
Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning
EMNLP 2021
On Computation and Generalization of Generative Adversarial Imitation Learning
ICLR 2020
Regularized Attentive Capsule Network for Overlapped Relation Extraction
COLING 2020
Toward Understanding the Importance of Noise in Training Neural Networks
ICML 2019
Towards Understanding the Importance of Shortcut Connections in Residual Networks
NIPS 2019
Improving Abstractive Document Summarization with Salient Information Modeling
ACL 2019
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
NIPS 2018
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
EMNLP 2018