XIN HE
30 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (7)
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Renaissance Researcher
(9)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
π
Conference Pioneer
ποΈ
Keyword Collector
(136)
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Prolific Year
(9)
π₯
Unstoppable
(5)
π
Century Club
(27)
Conferences
AAAI (5)
NIPS (4)
ACL (3)
ECCV (3)
IJCAI (3)
JMLR (3)
EMNLP (2)
ICML (2)
AACL (1)
ICCV (1)
IJCNLP (1)
NAACL (1)
NSDI (1)
Top co-authors
Keywords
model compression
(4)
large language model
(3)
neural architecture search
(2)
heterogeneous datum
(2)
state space model
(2)
gradient descent
(2)
parameter-efficient fine-tuning
(2)
covariate shift
(2)
zero-shot learning
(2)
kernel methods
(2)
low-rank adaptation
(2)
domain adaptation
(2)
graph neural network
(2)
causal discovery
(1)
visual perception
(1)
multi-agent reinforcement learning
(1)
image generation
(1)
post-training quantization
(1)
federated learning
(1)
semantic segmentation
(1)
Papers
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
ACL 2026
Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling
AAAI 2026
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models
IJCAI 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
IJCAI 2025
Boosting Segment Anything Model Towards Open-Vocabulary Learning
AAAI 2025
IMAGDressing-v1: Customizable Virtual Dressing
AAAI 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
ACL 2025
EWoRA: Expert Weighted Low-Rank Adaptation for Heterogeneous Data
IJCNLP 2025
EWoRA: Expert Weighted Low-Rank Adaptation for Heterogeneous Data
AACL 2025
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
NIPS 2024
Deep Nonparametric Quantile Regression under Covariate Shift
JMLR 2024
Flow Scheduling with Imprecise Knowledge
NSDI 2024
Anchor-based Large Language Models
ACL 2024
WindPoly: Polygonal Mesh Reconstruction via Winding Numbers
ECCV 2024
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
EMNLP 2024
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval
EMNLP 2024
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
ICML 2024
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward
IJCAI 2024
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches
JMLR 2023
Implicit Regularization in Over-Parameterized Support Vector Machine
NIPS 2023
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
NIPS 2023
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI 2023
Fine-Grained Semantically Aligned Vision-Language Pre-Training
NIPS 2022
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs
ECCV 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
ICML 2022
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes
JMLR 2022
Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems
NAACL 2021
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
AAAI 2021
Symmetry-Constrained Rectification Network for Scene Text Recognition
ICCV 2019
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
ECCV 2018