collaborators

6 papers

cs.DS2026

General Non-Clairvoyant KV-Cache Scheduling via Regime-Aware Routing

Yiding Feng, Siyu Liu, Zonghan Yang +1

We study non-clairvoyant scheduling for batched Large Language Model (LLM) inference under a hard Key-Value (KV) cache memory budget. Each request has a known prompt length but an…

cs.LG2026

Non-Stationary Online Resource Allocation: Learning from a Single Sample

Yiding Feng, Jiashuo Jiang, Yige Wang

We study online resource allocation under non-stationary demand with a minimum offline data requirement. In this problem, a decision-maker must allocate multiple types of resources…

cs.GT2026

Pareto-Efficient Multi-Buyer Mechanisms: Characterization, Fairness and Welfare

Moshe Babaioff, Sijin Chen, Zhaohua Chen +1

A truthful mechanism for a Bayesian single-item auction results with some ex-ante revenue for the seller, and some ex-ante total surplus for the buyers. We study the Pareto frontie…

cs.GT2026

Strengthening Bulow-Klemperer-Style Results for Multi-Unit Auctions

Moshe Babaioff, Yiding Feng, Zihan Luo

The classic result of Bulow and Klemperer (1996) shows that in multi-unit auctions with units and buyers whose values are sampled i.i.d. from a regular distribution,…

cs.DS2026

Competitive Non-Clairvoyant KV-Cache Scheduling for LLM Inference

Yiding Feng, Zonghan Yang, Yuhao Zhang

Large Language Model (LLM) inference presents a unique scheduling challenge due to the Key-Value (KV) cache, where a job's memory footprint grows linearly with the number of decode…

cs.GT2024

Beyond Regularity: Simple versus Optimal Mechanisms, Revisited

Yiding Feng, Yaonan Jin

A large proportion of the Bayesian mechanism design literature is restricted to the family of regular distributions [Mye81] or the family of monotone hazard…