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guides
Guides
These guides collect practical advice about working with me, conducting research, and understanding machine learning.
portfolio
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publications
Towards Robust Graph Incremental Learning on Evolving Graphs
Published in ICML, 1900
CDMPP: A Device-Model Agnostic Framework for Tensor Program Latency Prediction
Published in EuroSys, 1900
On the Limitation and Experience Replay for GNNs in Continual Learning
Published in CoLLAs, 1900
HEGformer: Representation Learning on Heterogeneous Graph Neural Network with Efficient Transformer
Published in ICKG, 1900
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problems
Published in ICLR BGPT Workshop / SIAM Journal on Mathematics of Data Science, 1900
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline
Published in KDD, 1900
MTRGL: Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
Published in ICASSP, 1900
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
Published in ICLR, 1900
Structural Properties of Core-Periphery Communities
Published in Advances in Complex Systems, 1900
On the Topology Awareness and Generalization Performance of Graph Neural Networks
Published in ECCV, 1900
Heta: Distributed Training of Heterogeneous Graph Neural Networks
Published in VLDB, 1900
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
Published in ICML, 1900
A Non-Asymptotic Convergence Analysis for Scored-Based Graph Generative Models via a System of Stochastic Differential Equations
Published in ICML, 1900
SBGD: Efficient and Scalable Graph Diffusion Generative Model via Block Decomposition
Published in ICML, 1900
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Published in AAAI, 1900
BG-HGNN: Toward Scalable and Efficient Heterogeneous Graph Neural Network
Published in TMLR, 1900
Full-Graph vs. Mini-Batch Training: Comprehensive Analysis from a Batch Size and Fan-Out Size Perspective
Published in ICLR, 1900
HetAuto: Cross-Cluster Auto-Parallelism for Heterogeneous Distributed Training
Published in EuroSys, 1900
Learning under Quantization for High-Dimensional Linear Regression
Published in ICLR, 1900
Structuring Semantic Embeddings for Principle Evaluation: A Prototype-Guided Contrastive Learning Approach
Published in TMLR, 1900
The Role of Social Support and Influencers in Content Markets
Published in ACM Transactions on Economics and Computation, 1900
Step-TP: A Grounded, Step-Level Dataset with Chain-of-Thought Reasoning for LLM-Guided Tensor Program Optimization
Published in KDD, 1900
Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Published in Preprint, 1900
talks
teaching
Reinforcement Learning
Course, University of Science and Technology of China, 2026