Zhongxiang Sun

Orcid: 0000-0002-6109-4704

According to our database1, Zhongxiang Sun authored at least 25 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Explainable Legal Case Matching via Graph Optimal Transport.
IEEE Trans. Knowl. Data Eng., June, 2024

Integrating FPGA-based hardware acceleration with relational databases.
Parallel Comput., 2024

Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey.
CoRR, 2024

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Logic Rules as Explanations for Legal Case Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Large Language Models Enhanced Collaborative Filtering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Effective In-Context Example Selection through Data Compression.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Enhancing Recommendation with Search Data in a Causal Learning Manner.
ACM Trans. Inf. Syst., October, 2023

Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors.
ACM Trans. Intell. Syst. Technol., 2023

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning.
CoRR, 2023

A Short Survey of Viewing Large Language Models in Legal Aspect.
CoRR, 2023

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

KuaiSAR: A Unified Search And Recommendation Dataset.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Using Remote Sensing Data and Species-Environmental Matching Model to Predict the Potential Distribution of Grassland Rodents in the Northern China.
Remote. Sens., 2022

Viticultural Suitability Analysis Based on Multi-Source Data Highlights Climate-Change-Induced Decrease in Potential Suitable Areas: A Case Analysis in Ningxia, China.
Remote. Sens., 2022

Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.
CoRR, 2022

AddrMiner: A Comprehensive Global Active IPv6 Address Discovery System.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Cellular-Connected UAV Trajectory Design With Connectivity Constraint: A Deep Reinforcement Learning Approach.
IEEE Trans. Green Commun. Netw., 2021

Joint Energy and Trajectory Optimization for UAV-Enabled Relaying Network With Multi-Pair Users.
IEEE Trans. Cogn. Commun. Netw., 2021

2018
Prioritizing Abandoned Mine Lands Rehabilitation: Combining Landscape Connectivity and Pattern Indices with Scenario Analysis Using Land-Use Modeling.
ISPRS Int. J. Geo Inf., 2018

2017
Three-dimensional stochastic simulations of soil clay and its response to sampling density.
Comput. Electron. Agric., 2017


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