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Home/Authors/Yu Ding

Yu Ding

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×2Robotics×1ML×1NLP×1Crypto×1

Frequent co-authors

Dong Jing1×
Jingchen Nie1×
Tianqi Zhang1×
Jiaqi Liu1×
Huaxiu Yao1×
Zhiwu Lu1×

Research Timeline

2026
Opal: Private Memory for Personal AI

Opal is a private memory system for personal AI that maintains high retrieval accuracy and throughput while ensuring data privacy by confining all data-dependent reasoning to a trusted hardware enclave.

A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL

The paper proposes a local perturbation theory showing that cross-domain interference in multi-domain RL occurs via a low-dimensional shared conflict subspace, which can be selectively mitigated by short domain refresh cycles.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

TempoVLA is a novel Vision-Language-Action model that enables controllable execution speed for robot manipulation by explicitly conditioning the policy on the desired speed.

Highlighted terms show continued research focus across papers

Papers

cs.ROcs.AIRecentJun 4, 2026

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

Dong Jing, Jingchen Nie, Tianqi Zhang, Jiaqi Liu +3 more

TempoVLA is a novel Vision-Language-Action model that enables controllable execution speed for robot manipulation by explicitly conditioning the policy on the desired speed.

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cs.LGcs.CLRecentJun 1, 2026

A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL

Lei Yang, Siyu Ding, Deyi Xiong

The paper proposes a local perturbation theory showing that cross-domain interference in multi-domain RL occurs via a low-dimensional shared conflict subspace, which can be selectively mitigated by sh…

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cs.CRcs.AIRecentApr 2, 2026

Opal: Private Memory for Personal AI

Darya Kaviani, Alp Eren Ozdarendeli, Jinhao Zhu, Yu Ding +1 more

Opal is a private memory system for personal AI that maintains high retrieval accuracy and throughput while ensuring data privacy by confining all data-dependent reasoning to a trusted hardware enclav…

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