Xiang Li

Orcid: 0009-0000-8818-0269

Affiliations:

East China Normal University, School of Data Science and Engineering, Shanghai Engineering Research Center of Big Data Management, China
University of Hong Kong, Department of Computer Science, Hong Kong (former)
University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (former)

According to our database¹, Xiang Li authored at least 123 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2024

BapFL: You can Backdoor Personalized Federated Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, August, 2024

Scalable decoupling graph neural network with feature-oriented optimization.

[BibT_eX]

[DOI]

VLDB J., May, 2024

SMEC: Scene Mining for E-Commerce.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., March, 2024

Predicting stock market trends with self-supervised learning.

[BibT_eX]

[DOI]

Neurocomputing, February, 2024

DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator.

[BibT_eX]

[DOI]

CoRR, 2024

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Boosting Graph Foundation Model from Structural Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Graph Out-of-distribution Generalization on Real-world Data.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.

[BibT_eX]

[DOI]

CoRR, 2024

Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning.

[BibT_eX]

[DOI]

Xiang Li

Yunshi Lan

Chao Yang

CoRR, 2024

Class-Balanced and Reinforced Active Learning on Graphs.

[BibT_eX]

[DOI]

Chengcheng Yu

Jiapeng Zhu

Xiang Li

CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.

[BibT_eX]

[DOI]

CoRR, 2024

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs.

[BibT_eX]

[DOI]

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.

[BibT_eX]

[DOI]

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

UPFL: Unsupervised Personalized Federated Learning towards New Clients.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.

[BibT_eX]

[DOI]

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Mobile Foundation Model as Firmware.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

Structure-aware Fine-tuning for Code Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning.

[BibT_eX]

[DOI]

Chengcheng Yu

Jiapeng Zhu

Xiang Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Self-supervised Heterogeneous Graph Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2023

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Prioritized Propagation in Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Resist Label Noise with PGM for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.

[BibT_eX]

[DOI]

CoRR, 2023

Label Propagation for Graph Label Noise.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt Tuning for Multi-View Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).

[BibT_eX]

[DOI]

CoRR, 2023

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.

[BibT_eX]

[DOI]

CoRR, 2023

Exchanging-based Multimodal Fusion with Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Mobile AI Ecosystem in the LLM Era.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

[BibT_eX]

[DOI]

CoRR, 2023

MUSE: Multi-View Contrastive Learning for Heterophilic Graphs.

[BibT_eX]

[DOI]

Mengyi Yuan

Minjie Chen

Xiang Li

CoRR, 2023

You Can Backdoor Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

[BibT_eX]

[DOI]

CoRR, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

[BibT_eX]

[DOI]

CoRR, 2023

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interactive Recommendation System for Meituan Waimai.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.

[BibT_eX]

[DOI]

Jianxiang Yu

Xiang Li

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Explaining Temporal Graph Models through an Explorer-Navigator Framework.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DropMix: Better Graph Contrastive Learning with Harder Negative Samples.

[BibT_eX]

[DOI]

Yueqi Ma

Minjie Chen

Xiang Li

Proceedings of the IEEE International Conference on Data Mining, 2023

Graph Self-Contrast Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Context-Aware Session-Based Recommendation with Graph Neural Networks.

[BibT_eX]

[DOI]

Zhihui Zhang

Jianxiang Yu

Xiang Li

Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Meta-learning Siamese Network for Few-Shot Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction.

[BibT_eX]

[DOI]

Mengyi Yuan

Minjie Chen

Xiang Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

SoC-Cluster as an Edge Server: an Application-driven Measurement Study.

[BibT_eX]

[DOI]

CoRR, 2022

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

An End-to-End Chinese Text Normalization Model Based on Rule-Guided Flat-Lattice Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Lexical Knowledge Internalization for Neural Dialog Generation.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Structure-enhanced meta-learning for few-shot graph classification.

[BibT_eX]

[DOI]

AI Open, 2021

Disentangling User Interest and Conformity for Recommendation with Causal Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Reinforcement Learning Enhanced Explainer for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Extending Database Technology, 2021

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.

[BibT_eX]

[DOI]

CoRR, 2020

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

A General Early-Stopping Module for Crowdsourced Ranking.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Spectral Clustering in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

ROSC: Robust Spectral Clustering on Multi-scale Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

Semi-supervised Clustering in Attributed Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

Meta Structure: Computing Relevance in Large Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

On Transductive Classification in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2013

Predicting Users' Age Range in Micro-blog Network.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Effective Method for Promoting Viral Marketing in Microblog.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Cleaning uncertain data for top-k queries.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Novel user influence measurement based on user interaction in microblog.

[BibT_eX]

[DOI]

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011

On Link-based Similarity Join.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2011

2010

Explore or Exploit? Effective Strategies for Disambiguating Large Databases.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2010

Xiang Li

Timeline

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