Haoyi Zhou
22 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Cross-Pollinator (10) π Academic Marathon (8) π Interdisciplinary Bridge π Conference Polyglot (8) π Renaissance Researcher (9)
π
Conference Polyglot
(8)
π
Academic Marathon
(8)
π
Renaissance Researcher
(9)
π€
Dynamic Duo
(17)
π§¬
Topic Evolution
β
The Questioner
π
Century Club
(19)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(101)
π₯
Unstoppable
(5)
Conferences
AAAI (8)
NIPS (4)
IJCAI (3)
ACL (2)
ICML (2)
CVPR (1)
EACL (1)
ECCV (1)
Top co-authors
Research topics
Keywords
large language model
(3)
representation learning
(3)
sequence modeling
(2)
attention mechanism
(2)
knowledge distillation
(2)
parameter-efficient fine-tuning
(2)
vision-language model
(2)
model adaptation
(1)
natural language understanding
(1)
self-attention mechanism
(1)
neural architecture search
(1)
geometry-aware learning
(1)
confidence calibration
(1)
spatio-temporal modeling
(1)
reinforcement learning
(1)
time series prediction
(1)
network security
(1)
neural network optimization
(1)
markov decision process
(1)
deep learning
(1)
Papers
FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence
AAAI 2026
Fine-Tuned LLMs Know They Donβt Know: A Parameter-Efficient Approach to Recovering Honesty
AAAI 2026
Towards Long-window Anchoring in Vision-Language Model Distillation
AAAI 2026
Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
CVPR 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models
AAAI 2025
MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection
AAAI 2025
Towards Objective Fine-tuning: How LLMsβ Prior Knowledge Causes Potential Poor Calibration?
ACL 2025
OmniArch: Building Foundation Model for Scientific Computing
ICML 2025
PINNsAgent: Automated PDE Surrogation with Large Language Models
ICML 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
IJCAI 2025
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification
AAAI 2024
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning
AAAI 2024
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
NIPS 2024
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
NIPS 2024
Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution
IJCAI 2023
Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning
EACL 2023
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences
NIPS 2022
Jump Self-attention: Capturing High-order Statistics in Transformers
NIPS 2022
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer
ECCV 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
ACL 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
AAAI 2021
Improving the Generalization Performance of Multi-class SVM via Angular Regularization
IJCAI 2017