Zhi Li

Orcid: 0000-0002-8061-7486

Affiliations:
  • Tsinghua University, Shenzhen International Graduate School, Shenzhen, China
  • University of Science and Technology of China, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
  • University of Science and Technology of China, School of Software Engineering, Hefei, China


According to our database1, Zhi Li authored at least 55 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
ArenaSim: A High-Performance Simulation Platform for Multi-Robot Self-Play Learning.
IEEE Robotics Autom. Lett., June, 2025

A Universal Framework for Compressing Embeddings in CTR Prediction.
CoRR, February, 2025

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm.
ACM Trans. Knowl. Discov. Data, January, 2025

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements.
ACM Trans. Intell. Syst. Technol., June, 2024

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation.
IEEE Trans. Knowl. Data Eng., 2024

GaLore+: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection.
CoRR, 2024

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst.
CoRR, 2024

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.
CoRR, 2024

KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination.
CoRR, 2024

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation.
CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
CoRR, 2024

Multi-dimensional ability diagnosis for machine learning algorithms.
Sci. China Inf. Sci., 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective.
Proceedings of the International Joint Conference on Neural Networks, 2024

ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
Proceedings of the Database Systems for Advanced Applications, 2024

Multi-Agent Collaborative Perception via Motion-Aware Robust Communication Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Entity Summarization via Exploiting Description Complementarity and Salience.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
Proceedings of the ACM Web Conference 2023, 2023

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
Proceedings of the Database Systems for Advanced Applications, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Estimating fund-raising performance for start-up projects from a market graph perspective.
Pattern Recognit., 2022

Prospects for multi-agent collaboration and gaming: challenge, technology, and application.
Frontiers Inf. Technol. Electron. Eng., 2022

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-modal Siamese Network for Entity Alignment.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

One Person, One Model - Learning Compound Router for Sequential Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

Multi-Sentence Matching via Exploiting List-level Semantics Expansion.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning the Implicit Semantic Representation on Graph-Structured Data.
Proceedings of the Database Systems for Advanced Applications, 2021

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation.
J. Comput. Sci. Technol., 2020

Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

MMEA: Entity Alignment for Multi-modal Knowledge Graph.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Learning the Compositional Visual Coherence for Complementary Recommendations.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Illuminating Recommendation by Understanding the Explicit Item Relations.
J. Comput. Sci. Technol., 2018

Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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