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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
guides
Guides
These guides collect practical advice about working with me, conducting research, and understanding machine learning.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
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