Yuxiao Dong
Associate Professor
Works on graph machine learning, network embedding, pre-trained graph and language models, and social network mining.
Yuxiao Dong's lab at Tsinghua works on graph mining & networks, graph learning and large language models. 82 papers since 2023, 70 at top venues, mostly ACL and ICLR. 11 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 21/ year
- at T1 venues
- 85%
- PhD students
- 11
- MS students
- 1
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 6 papers2026 · T1 6 · collecting
- 26 papers2025 · T1 22
- 31 papers2024 · T1 25
- 19 papers2023 · T1 17
T1 venuesOtherVenues: ACL, ICLR, KDD, TKDE, Findings of ACL
Research focuspaper titles that use each topic's words
- Large language models40 papers
- Graph learning24 papers
- Graph mining & networks12 papers
- graph10 papers
- network2 papers
Paper list
From DBLP.
20266 papers
- ICLR (T1)ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents (opens in a new tab)
- TPAMI (T1)GSPNet: Graph Spectral Projection Network Using Learnable Spectral Transformation (opens in a new tab)
- TKDE (T1)Heterogeneous Graph Random Neural Networks (opens in a new tab)
- ACL (T1)KARL: Reinforcement Learning for LLM Agents on Multi-Turn Knowledge-Intensive Agentic Tasks (opens in a new tab)
- ICLR (T1)MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents (opens in a new tab)
- AAAI (T1)VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation (opens in a new tab)
202526 papers
- ACL (T1)A Survey of Post-Training Scaling in Large Language Models (opens in a new tab)
- ACL (T1)AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models (opens in a new tab)
- ACL (T1)AndroidGen: Building an Android Language Agent under Data Scarcity (opens in a new tab)
- ACL (T1)AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents (opens in a new tab)
- ICLR (T1)CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning (opens in a new tab)
- ICLR (T1)CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (opens in a new tab)
- ICML (T1)Controlling Large Language Model with Latent Action (opens in a new tab)
- TKDE (T1)LGB: Language Model and Graph Neural Network-Driven Social Bot Detection (opens in a new tab)
- Findings of ACLLogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models (opens in a new tab)
- ACL (T1)LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks (opens in a new tab)
- Findings of ACLLongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA (opens in a new tab)
- ACL (T1)LongReward: Improving Long-context Large Language Models with AI Feedback (opens in a new tab)
202431 papers
- ICLR (T1)AgentBench: Evaluating LLMs as Agents (opens in a new tab)
- Findings of ACLAgentTuning: Enabling Generalized Agent Abilities for LLMs (opens in a new tab)
- ACL (T1)AlignBench: Benchmarking Chinese Alignment of Large Language Models (opens in a new tab)
- Findings of EMNLPAutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models (opens in a new tab)
- ACL (T1)AutoRE: Document-Level Relation Extraction with Large Language Models (opens in a new tab)
- KDD (T1)AutoWebGLM: A Large Language Model-based Web Navigating Agent (opens in a new tab)
- ACL (T1)Black-Box Prompt Optimization: Aligning Large Language Models without Model Training (opens in a new tab)
- EMNLP (T1)CharacterGLM: Customizing Social Characters with Large Language Models (opens in a new tab)
- Findings of EMNLPChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline (opens in a new tab)
- CVPR (T1)CogAgent: A Visual Language Model for GUI Agents (opens in a new tab)
- ECCV (T1)CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion (opens in a new tab)
- NeurIPS (T1)CogVLM: Visual Expert for Pretrained Language Models (opens in a new tab)
202319 papers
- WWW (T1)ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation (opens in a new tab)
- TKDE (T1)Automated Unsupervised Graph Representation Learning (opens in a new tab)
- KDD (T1)BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs (opens in a new tab)
- KDD (T1)CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X (opens in a new tab)
- WWW (T1)CogDL: A Comprehensive Library for Graph Deep Learning (opens in a new tab)
- TKDE (T1)GCCAD: Graph Contrastive Coding for Anomaly Detection (opens in a new tab)
- ICLR (T1)GLM-130B: An Open Bilingual Pre-trained Model (opens in a new tab)
- WWW (T1)GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner (opens in a new tab)
- NeurIPS (T1)ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation (opens in a new tab)
- WSDM (T1)International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning (opens in a new tab)
- TKDE (T1)OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs (opens in a new tab)
- TKDE (T1)OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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