collaborators

7 papers

cs.DC2026

UnionSparse: An Index-Efficient Sparsity Framework for Low-Bit Sparse LLM Inference on Edge

Tianhao Jiang, Hang Gu, Teng Wang +9

Edge LLM inference combines sparsity and low-bit quantization to meet device memory, latency, and power limits. Yet quantization shrinks weight payloads without proportionally redu…

eess.SY2026

Scheduling Cause-Effect Chains without Timing Anomalies in End-to-End Latency

Yixuan Zhu, Bo Zhang, Yinkang Gao +7

In real-time systems, both individual task execution and data propagation must meet strict timing constraints. Cause-effect (CE) chains are widely used to analyze such behaviors by…

cs.AR2026

Hermes: A Unified High-Performance NTT Architecture with Hybrid Dataflow

Hang Gu, Teng Wang, Qianyu Cheng +6

Fully Homomorphic Encryption (FHE) relies heavily on the Number Theoretic Transform (NTT), making NTT a major performance bottleneck due to its intensive polynomial computations. H…

eess.SY2026

A Timing-Anomaly Free Dynamic Scheduling on Heterogeneous Systems

Yixuan Zhu, Yinkang Gao, Lei Gong +9

Heterogeneous systems commonly adopt dynamic scheduling algorithms to improve resource utilization and enhance scheduling flexibility. However, such flexibility may introduce timin…

eess.SY2026

Reducing End-to-End Latency of Cause-Effect Chains with Shared Cache Analysis

Yixuan Zhu, Yinkang Gao, Bo Zhang +8

Cause-effect chains, as a widely used modeling method in real-time embedded systems, are extensively applied in various safety-critical domains. End-to-end latency, as a key real-t…

cs.CL2026

Crystal-KV: Efficient KV Cache Management for Chain-of-Thought LLMs via Answer-First Principle

Zihan Wang, Cheng Tang, Lei Gong +5

Chain-of-Thought (CoT) reasoning in large language models (LLMs) significantly improves accuracy on complex tasks, yet incurs excessive memory overhead due to the long think-stage…