Researcher — paper.dinq.me

2026 顶会论文

一作ICLR 2026Poster· Reinforcement Learning / Everything Else

Latent Adaptation of Foundation Policies for Sim-to-Real Transfer

Longchao Da · T Kutralingam · Lirong Xiang · Hua Wei

强化学习与后训练OpenReview

作者位次 #3/6ACL 2026Findings· Findings of ACL

Uncertainty Quantification of Large Language Models through Multiple Uncertainty Sources

Tiejin Chen · Xiaoou Liu · Longchao Da · Jia Chen · Evangelos E. Papalexakis · Hua Wei

摘要

Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse domains. However, the reliability of responses from LLMs remains a question. Uncertainty quantification (UQ) of LLMs is crucial for ensuring their reliability, especially in areas such as healthcare. Existing UQ...

效率与系统评测与基准代码OpenReview 项目页

一作KDD 2026Oral· Knowledge Discovery & Data Mining

ShadeBench: A Benchmark Dataset for Building Shade Simulation in Sustainable Society

Longchao Da · Mithun Shivakoti · Xiangrui Liu · Thirulogasankar Pranav Kutralingam · Yezhou Yang · Hua Wei

评测与基准数据与预训练检索与知识OpenReview

一作IROS 2026Oral· Perceiving and Reconstructing Plants in the Field

PlantShade: Predicting Plant Shadows for Lighting-Aware Robotic Agricultural Operation

Longchao Da · Xiaoou Liu · Xingjian Li · Lirong Xiang · Hua Wei

社会与人本Agricultural AutomationMachine Learning for Robot ControlSimulation and AnimationOpenReview

作者位次 #3/4IROS 2026Oral· Shaping the Learning Problem for Robot Control

DADiff: Diffusion-Driven Cross-Domain Policy Adaptation for Reinforcement Learning

Hanyang Chen · Anirudh Satheesh · Longchao Da · Hua Wei

强化学习与后训练理论与学习动力学Reinforcement LearningDynamicsOpenReview

一作AAAI 2026Poster· Artificial Intelligence

Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving

Longchao Da · David Isele · Hua Wei · Manish Saroya

评测与基准OpenReview

Longchao Da

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