Jing Su

Orcid: 0000-0003-0572-9194

Affiliations:
  • SenseTime Group Limited, Department of Smart City, Beijing, China
  • Fudan University, Department of Optical Science and Engineering, Shanghai, China (PhD 2021)


According to our database1, Jing Su authored at least 15 papers between 2020 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
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning.
CoRR, January, 2025

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.
CoRR, 2024

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.
CoRR, 2024

Empowering Large Language Model Agents through Action Learning.
CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
CoRR, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Learning Video Representations of Human Motion from Synthetic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
HF-SNN: High-Frequency Spiking Neural Network.
IEEE Access, 2021

Show Auto-Adaptive and Tell: Learned From the SEM Image Challenge.
IEEE Access, 2021

2020
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition.
CoRR, 2020


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