Yuchen Li

Orcid: 0000-0002-3869-7881

Affiliations:
  • Baidu Inc., Beijing, China
  • Shanghai Jiao Tong University, China (PhD 2024)
  • Dalian University of Technology, Dalian, Liaoning, China (former)


According to our database1, Yuchen Li authored at least 51 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SEAL: Can Saturated Benchmarks Be Revived by LLM-as-a-Meta-Judge?
CoRR, May, 2026

Measuring Maximum Activations in Open Large Language Models.
CoRR, May, 2026

EndPrompt: Efficient Long-Context Extension via Terminal Anchoring.
CoRR, May, 2026

MOSAIC: Composable Safety Alignment with Modular Control Tokens.
CoRR, March, 2026

Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models.
CoRR, February, 2026

S$^{3}$PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training.
IEEE Trans. Knowl. Data Eng., January, 2026

Agentic-R: Learning to Retrieve for Agentic Search.
CoRR, January, 2026

Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models.
CoRR, January, 2026

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding.
CoRR, January, 2026

SageCopilot: An LLM-Empowered Autonomous Agent for Data Science as a Service.
IEEE Trans. Serv. Comput., 2026

ReflectRAG: Enhancing retrieval-augmented generation with GRPO-optimized iterative reflection.
Neurocomputing, 2026

Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search.
Proceedings of the ACM Web Conference 2026, 2026

Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Efficient Thought Space Exploration Through Strategic Intervention.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

VPN: Visual Prompt Navigation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Grounding Long-Context Reasoning with Contextual Normalization for Retrieval-Augmented Generation.
CoRR, October, 2025

AdaSwitch: Adaptive Switching Generation for Knowledge Distillation.
CoRR, October, 2025

UCMM: Unsupervised Convolutional Networks for Accurate and Efficient Map Matching With Mobile Cellular Data.
IEEE Trans. Mob. Comput., July, 2025

Towards AI Search Paradigm.
CoRR, June, 2025

TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2025

Rethinking Resource Management in Edge Learning: A Joint Pre-Training and Fine-Tuning Design Paradigm.
IEEE Trans. Wirel. Commun., February, 2025

MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

M<sup>2</sup>oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

VariGen: Controllable Image Generation Via Personalized Diffusion Framework.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Enhancing Retrieval-Augmented Generation via Evidence Tree Search.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
When Search Engine Services Meet Large Language Models: Visions and Challenges.
IEEE Trans. Serv. Comput., 2024

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning.
Nat. Mac. Intell., 2024

Pre-trained Molecular Language Models with Random Functional Group Masking.
CoRR, 2024

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).
CoRR, 2024

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract).
CoRR, 2024

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned.
CoRR, 2024

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.
CoRR, 2024

HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng., December, 2023

MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking.
IEEE Trans. Serv. Comput., 2023

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

S<sup>2</sup>phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.
Proceedings of the IEEE International Conference on Data Mining, 2023

GS<sup>2</sup>P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Learning-based congestion control simulator for mobile internet education.
Proceedings of the MobiArch@MobiCom 2021: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, 2021

2018
Adaptively Shaping Reinforcement Learning Agents via Human Reward.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018


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