8 papers
BiDeMem: Bidirectional Degradation Memory for Explainable Image Restoration
Xinrui Wu, Lichen Huang
Degradation-aware prompts, conditions, and latent priors are increasingly used in image restoration, yet they are usually judged by a single endpoint: whether the restored image ob…
SegFold: Accelerating Sparse GEMM with a Fine-Grained Dynamic Dataflow
Xinrui Wu, Hanyu Wang, Jason Cong +1
Generalized sparse matrix-matrix multiplication (SpGEMM) is critical in many domains. Existing CPUs and GPUs, as well as specialized accelerators, rely on static dataflows (e.g., i…
Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency
Xinrui Wu, Lichen Huang
Image generation models now produce high-quality static images, yet their ability to represent how a visual world changes over time remains poorly understood. Practical workflows s…
Quantum Circuit Synthesis Using an Exact T Library
Hanyu Wang, Mingfei Yu, Xinrui Wu +1
In fault-tolerant quantum circuit synthesis, T gates supplied via magic states dominate space-time cost, while Clifford gates incur negligible overhead. Conventional flows minimize…
LLM-DSE: Searching Accelerator Parameters with LLM Agents
Hanyu Wang, Xinrui Wu, Zijian Ding +6
Even though high-level synthesis (HLS) tools mitigate the challenges of programming domain-specific accelerators (DSAs) by raising the abstraction level, optimizing hardware direct…
Can Asymmetric Tile Buffering Be Beneficial?
Chengyue Wang, Wesley Pang, Xinrui Wu +9
General matrix multiplication (GEMM) is the computational backbone of modern AI workloads, and its efficiency is critically dependent on effective tiling strategies. Conventional a…