Dong Li

Orcid: 0000-0002-8800-1483

Affiliations:

Huawei Technologies, Noah's Ark Lab, Beijing, China
Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems,Beijing, China (PhD 2019)

According to our database¹, Dong Li authored at least 57 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Learning from Hierarchical Structure of Knowledge Graph for Recommendation.

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[DOI]

ACM Trans. Inf. Syst., January, 2024

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2024

Reinforced In-Context Black-Box Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation.

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[DOI]

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

Reining Generalization in Offline Reinforcement Learning via Representation Distinction.

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[DOI]

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

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations.

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[DOI]

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

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

Dual-Process Graph Neural Network for Diversified Recommendation.

[BibT_eX]

[DOI]

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

2022

Transformer in Transformer as Backbone for Deep Reinforcement Learning.

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[DOI]

CoRR, 2022

State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2022

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies.

[BibT_eX]

[DOI]

CoRR, 2022

SEREN: Knowing When to Explore and When to Exploit.

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking Reinforcement Learning based Logic Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Versatile Multi-stage Graph Neural Network for Circuit Representation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Neuro-Symbolic Hierarchical Rule Induction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning State Representations via Retracing in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Invariant Factor Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

LHNN: lattice hypergraph neural network for VLSI congestion prediction.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.

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[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Neuro-Symbolic Hierarchical Rule Induction.

[BibT_eX]

[DOI]

CoRR, 2021

A Survey on Interpretable Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Empirical Policy Optimization for n-Player Markov Games.

[BibT_eX]

[DOI]

CoRR, 2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Differentiable Logic Machines.

[BibT_eX]

[DOI]

CoRR, 2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

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

Adaptive Online Packing-guided Search for POMDPs.

[BibT_eX]

[DOI]

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

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition.

[BibT_eX]

[DOI]

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021