Chen Li

Orcid: 0000-0002-7508-7222

Affiliations:
  • Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Beijing, China


According to our database1, Chen Li authored at least 48 papers between 2017 and 2024.

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Timeline

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Bibliography

2024
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach.
ACM Trans. Intell. Syst. Technol., June, 2024

Vision-Language Instruction Tuning: A Review and Analysis.
Trans. Mach. Learn. Res., 2024

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance.
CoRR, 2024

PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models.
CoRR, 2024

SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing.
CoRR, 2024

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.
CoRR, 2024

Privacy-preserving graph publishing with disentangled variational information bottleneck.
Concurr. Comput. Pract. Exp., 2024

Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Optimization Strategies for Knowledge Graph Based Distractor Generation.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Addressing Over-Squashing in GNNs with Graph Rewiring and Ordered Neurons.
Proceedings of the International Joint Conference on Neural Networks, 2024

TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024

Generative Spoken Language Modeling with Quantized Feature Enhancement.
Proceedings of the International Joint Conference on Neural Networks, 2024

SACL: Siamese Adaptive Contrastive Learning for Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Making LLaMA SEE and Draw with SEED Tokenizer.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ST-LLM: Large Language Models Are Effective Temporal Learners.
Proceedings of the Computer Vision - ECCV 2024, 2024

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

One For All: Video Conversation is Feasible Without Video Instruction Tuning.
CoRR, 2023

PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas.
CoRR, 2023

TagGPT: Large Language Models are Zero-shot Multimodal Taggers.
CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023

Permutation Invariant Training for Paraphrase Identification.
Proceedings of the IEEE International Conference on Acoustics, 2023

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst., 2022

Understanding Linearity of Cross-Lingual Word Embedding Mappings.
Trans. Mach. Learn. Res., 2022

Cross-knowledge-graph entity alignment via relation prediction.
Knowl. Based Syst., 2022

Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning graph attention-aware knowledge graph embedding.
Neurocomputing, 2021

Multi-level Connection Enhanced Representation Learning for Script Event Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Two-tier Graph Contextual Embedding for Cross-device User Matching.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Modeling relation paths for knowledge base completion via joint adversarial training.
Knowl. Based Syst., 2020

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework.
CoRR, 2020

Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies.
CoRR, 2020

Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Bibliographic Name Disambiguation with Graph Convolutional Network.
Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

2018
FluteDB: An efficient and scalable in-memory time series database for sensor-cloud.
J. Parallel Distributed Comput., 2018

Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training.
CoRR, 2018

A Lightweight Music Texture Transfer System.
CoRR, 2018

Mining Semantic Variation in Time Series for Rumor Detection Via Recurrent Neural Networks.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Training and Evaluating Improved Dependency-Based Word Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
FluteDB: An Efficient and Dependable Time-Series Database Storage Engine.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017


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