paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
SZ

Shengjie Zhao

AAAI 2026×2ICLR 2026×2ACL 2026CVPR 2026KDD 2026多模态推理对齐与偏好数据与预训练可解释性
新星分资深
41
一作贡献0
核心/参与31
方向广度19
合作网络12
0 一作 · 7 篇 · AAAI 2026 / ICLR 2026 / ACL 2026 / CVPR 2026 / KDD 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

7
作者位次 #3/3ICLR 2026Poster· Computer Vision / Everything Else

GenCape: Structure-Inductive Generative Modeling for Category-Agnostic Pose Estimation

Jiyong Rao · Yu Wang · Shengjie Zhao

多模态OpenReview
作者位次 #2/2CVPR 2026Poster· Computer Vision & Pattern Recognition

Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning

Yu Wang · Shengjie Zhao

多模态推理OpenReview 项目页
作者位次 #6/7ACL 2026Findings· Findings of ACL

A dap T hink: Adaptive Thinking Preferences for Reasoning Language Models

Wenyue Xu · Xu Wan · Wei Wang · Wenqi Huang · Wotao Yin · Shengjie Zhao · Mingyang Sun

摘要

The slow thinking paradigm has been widely validated to enhance the reasoning capabilities of Large Language Models (LLMs), but it introduces notable reasoning inefficiencies: models often overthink simple tasks while prematurely shifting their reasoning paths when addressing complex problems. To...

推理对齐与偏好可解释性OpenReview 项目页
作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

Invariant Structure Learning with Pre-trained Language Models for Spatio-temporal Graph

Ting Wang · Duo Zhou · Daqian Shi · Hao Tang · Hao Deng · Shengjie Zhao

数据与预训练检索与知识OpenReview

常见合作者