works on

From the 2 of 11 linked papers with an AI index.

collaborators

11 papers

cs.CV2026

FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference

Hanshuai Cui, Zhiqing Tang, Zhi Yao +3

FeatFix reuses exact intermediate features computed for verification to locally correct draft outputs in cached diffusion inference, speeding up image and video generation while pr…

cs.AI2026

MemTxn: A Transaction Boundary for Source-Supported Updates and Complete-State Recovery in Agent Memory

Hanshuai Cui, Zhiqing Tang, Zhi Yao +3

MemTxn is a governance layer for large language model agents that adds a transaction boundary to verify source-supported memory updates, resolve conflicting facts, and recover a co…

cs.DC2026

LASER: Load-Aware Serving with Early-Exit for Reasoning LLMs at the Edge

Zhiqing Tang, Size Li, Hanshuai Cui +5

Large reasoning models (LRMs) such as DeepSeek-R1 have achieved strong performance through extended chain-of-thought (CoT) generation. However, deploying them on edge devices raise…

cs.DC2026

RISE: Relay Inference and Online Scheduling for Efficient Edge-Device Collaborative Diffusion Model Services

Zilan Huang, Zhiqing Tang, Hanshuai Cui +4

Text-to-image diffusion models are increasingly deployed at the network edge to serve heterogeneous workloads with diverse quality and latency requirements. However, existing deplo…

cs.AI2026

CogGuard: Cognitive and Operational Profiling for Proactive Warning in Edge Intelligent Services

Zhi Yao, Weihao Chen, Zhiqing Tang +4

Proactive warning is an important capability for edge intelligent services, where the system predicts whether a subject will successfully complete an incoming task under strict lat…

cs.LG2026

Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching

Qianli Ma, Zhiqing Tang, Hanshuai Cui +2

Disaggregated serving alleviates memory bottlenecks in Large Language Model (LLM) inference but creates a severe communication bottleneck: transmitting high-dimensional Key-Value (…