Haoyi Zhou

23 papers · 2017–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (52) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🤝 Dynamic Duo (19) ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze ❓ The Questioner 💎 Century Club · Bronze 🌈 Renaissance Researcher (7) 🗃️ Keyword Collector (116)

Venues

AAAI (8) NeurIPS (4) IJCAI (3) ACL (2) CVPR (2) ICML (2) EACL (1) ECCV (1)

Top co-authors

Jianxin Li (19) Tianyu Chen (8) Shanghang Zhang (6) Tianchen Zhu (5) Shiqi Gao (4) SHUAI ZHANG (4) Qi Song (3) Yue Qiu (3) Hui Xiong (3) Chonghan Gao (3)

Research topics

Artificial Intelligence (14) Core AI (14) Machine Learning (13) Deep Learning (11) Application Areas (6) Architectures (6) Core Methods (6) Learning Types · Machine Learning (5) Optimization & Theory (5) Natural Language Processing (4) Reinforcement Learning (4) Learning Types · Deep Learning (4) Methods (4) Models (3) Resources & Methods (3)

Keywords

large language model (4) representation learning (3) vision-language model (2) sequence modeling (2) reinforcement learning (2) attention mechanism (2) parameter-efficient fine-tuning (2) knowledge distillation (2) self-attention mechanism (1) confidence calibration (1) zero-shot learning (1) neural architecture search (1) visual reasoning (1) natural language understanding (1) question answering (1) neural network optimization (1) in-context learning (1) deep learning (1) spatio-temporal modeling (1) model adaptation (1)

Papers

CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning CVPR 2026 Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026 FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence AAAI 2026 Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2026 FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025 FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025 Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding CVPR 2025 MalDetectFormer: Leveraging Sparse SpatioTemporal Information for Effective Malicious Traffic Detection AAAI 2025 OmniArch: Building Foundation Model for Scientific Computing ICML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models ICML 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 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 NeurIPS 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NeurIPS 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification AAAI 2024 Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning EACL 2023 Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023 AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NeurIPS 2022 Jump Self-attention: Capturing High-order Statistics in Transformers NeurIPS 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