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Home/Authors/Haotian Liu

Haotian Liu

3 indexed papers

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

Publications per year

3
26

Top categories

NLP×1Signal Processing×1Databases×1Info Retrieval×1

Frequent co-authors

Siyuan Huang1×
Pengyu Cheng1×
Tao Chen1×
Yihao Liu1×
Jingwei Ni1×
Shijie Zhou1×

Research Timeline

2026
Efficient and Effective In-place Graph-based Vector Index Updates

This paper proposes Yi, a system for efficient and effective in-place updates in large-scale vector indexing, achieving higher update and search throughput than state-of-the-art methods.

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC

A neural network called DMSNet is proposed for multi-target sensing in multi-band integrated sensing and communication systems, improving accuracy, reducing errors, and decreasing runtime.

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills

This paper introduces Skill Self-Play (Skill-SP), a co-evolutionary framework for LLM training that bridges the gap between structured verification and open-ended exploration.

Highlighted terms show continued research focus across papers

Papers

cs.CLEmpiricalRecentJul 24, 2026

Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills

Siyuan Huang, Pengyu Cheng, Haotian Liu, Tao Chen +9 more

This paper introduces Skill Self-Play (Skill-SP), a co-evolutionary framework for LLM training that bridges the gap between structured verification and open-ended exploration.

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eess.SPEmpiricalRecent
Jul 20, 2026

DMSNet: Cross-Band Learning for Multi-Target Sensing in Multi-Band ISAC

Haotian Liu, Zhiqing Wei, Quanjiang Zhao, Lin Wang +3 more

A neural network called DMSNet is proposed for multi-target sensing in multi-band integrated sensing and communication systems, improving accuracy, reducing errors, and decreasing runtime.

View →
cs.DBcs.IREmpiricalRecentJul 17, 2026

Efficient and Effective In-place Graph-based Vector Index Updates

Haotian Liu, Yujun He, Bo Tang

This paper proposes Yi, a system for efficient and effective in-place updates in large-scale vector indexing, achieving higher update and search throughput than state-of-the-art methods.

View →