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Showing papers from Shenzhen Technology University Show all papers

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NeurIPS 2026TsinghuaHarbin Institute of TechnologyShenzhenShenzhen TechnologySIGS, TsinghuaVision-language models

What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective

Jiazhen Huang, Xiao Chen, Zhiming Liu, Yaru Sun and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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2/20 AI panelreviewers recommend it

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medium 1/10
strict 0/5
45%Niche pick
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NeurIPS 2026ShenzhenShenzhen Technology University, Shenzhen TechnologyTencent AI LabDeep RL

Foundation Pareto Flow Policy for Multi-Objective Reinforcement Learning

Zhanjiang Yang, Lijun Sun, Yueming Li, Meng Li and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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NeurIPS 2026TsinghuaXiamenShanghai Jiao TongShenzhen TechnologySIGS, Tsinghua3D vision & reconstruction

EIHMR: Collaborative Human-Camera Estimation for Global Human Mesh Recovery

Junchen Ge, Zhengqi Zhang, Hanglei Jin, Shuzhao Xie and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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78%Highly rated
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NeurIPS 2026Shenzhen TechnologyShanghai JiaotongShanghai PolytechnicShanghai Jiao TongReward models & LLM-as-a-judge

Teacher-Aware Evolution of Heuristic Programs from Learned Optimization Policies

A teacher-aware evolutionary framework uses learned optimization policies as behavioral teachers to evolve static executable heuristics, improving combinatorial optimization benchmarks without neural inference at deployment.

Minyu Chen, Song Qin, Ling-I Wu, Jianxin Xue and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5