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Cheng Tang

4 papers hereh-index 15 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SY2
  • cs.CL1
  • cs.DC1
same name
  • Cheng Tang — 12 papers, h 6
  • Cheng Tang — 6 papers, h 4
  • Cheng Tang — 3 papers, h 2
  • Cheng Tang — 2 papers, h 12
  • Cheng Tang — 1 paper, h 0
  • Cheng Tang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 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…

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…

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…

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