Li Shang

Orcid: 0009-0005-9216-1921

Affiliations:
  • Fudan University, Shanghai, China


According to our database1, Li Shang authored at least 21 papers between 2022 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
Variation-aware Analog Circuit Design via Contextual Modeling and Robust Optimization.
ACM Trans. Design Autom. Electr. Syst., March, 2026

The Curse and Blessing of Mean Bias in FP4-Quantized LLM Training.
CoRR, March, 2026

SD-MoE: Spectral Decomposition for Effective Expert Specialization.
CoRR, February, 2026

Spectra: Rethinking Optimizers for LLMs Under Spectral Anisotropy.
CoRR, February, 2026

Dispelling the Curse of Singularities in Neural Network Optimizations.
CoRR, February, 2026

Atelier: An Automated Analog Circuit Design Framework via Multiple Large Language Model-Based Agents.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2026

White-Box Op-Amp Design via Human-Mimicking Reasoning.
CoRR, January, 2026

2025
Introduction to Special Issue on Large Language Models for Electronic System Design Automation.
ACM Trans. Design Autom. Electr. Syst., November, 2025

Adaptive ILT via Multi-Level Lithography Simulation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2025

An Efficient Placement Speedup Technique Based on Graph Signal Processing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2025

Denoising Reuse: Exploiting Inter-Frame Motion Consistency for Efficient Video Generation.
IEEE Trans. Circuits Syst. Video Technol., September, 2025

Metis: Training LLMs with FP4 Quantization.
CoRR, September, 2025

ATOM: An Automatic Topology Synthesis Framework for Operational Amplifiers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2025

Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

INTO-OA: Interpretable Topology Optimization for Operational Amplifiers.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation.
CoRR, 2024

Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

cVTS: A Constrained Voronoi Tree Search Method for High Dimensional Analog Circuit Synthesis.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Recursive Disentanglement Network.
Proceedings of the Tenth International Conference on Learning Representations, 2022


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