Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks. - Mengjia Qiao; Xiaohui He 001; Xijie Cheng; Panle Li; Haotian Luo; Lehan Zhang; Zhihui Tian (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Exploiting Hierarchical Features for Crop Yield Prediction Based on 3-D Convolutional Neural Networks and Multikernel Gaussian Process. - Mengjia Qiao; Xiaohui He 001; Xijie Cheng; Panle Li; Haotian Luo; Zhihui Tian; Hengliang Guo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Robust Deep Neural Networks for Road Extraction From Remote Sensing Images. - Panle Li; Xiaohui He 001; Mengjia Qiao; Xijie Cheng; Zhiqiang Li; Haotian Luo; Dingjun Song; Daidong Li; Shaokai Hu; Runchuan Li; Pu Han; Fangbing Qiu; et al. (IEEE Trans. Geosci. Remote. Sens., 2021)

A Distributed EMR Data Storage Scheme Based on LWE. - Haotian Luo; Niansong Mei; Chong Du; CaoYi Yu (BCCA, 2023)

IoT Data Sharing Scheme Based on Blockchain and Homomorphic Encryption. - CaoYi Yu; Niansong Mei; Chong Du; Haotian Luo; Qian Lian (BCCA, 2023)

Vector-Quantized Prompt Learning for Paraphrase Generation. - Haotian Luo; Yixin Liu; Peidong Liu; Xianggen Liu (EMNLP (Findings), 2023)

Accelerating zk-SNARK with Group and Zone Optimization on GPU. - Runnan Shen; Liang Wang; Haotian Luo; Rui Yang; Jinqian Yang; Jinquan Wang; Qiancheng Sun; Limin Xiao; Jin Dong (ICPADS, 2023)

ProSG: Using Prompt Synthetic Gradients to Alleviate Prompt Forgetting of RNN-like Language Models. - Haotian Luo; Kunming Wu; Cheng Dai; Sixian Ding; Xinhao Chen (CoRR, 2023)

Effects of bilateral sagittal split ramus osteotomy and bimaxillary osteotomies on stress distribution of temporomandibular joints in patients with maxillofacial deformity under asymmetric occlusions. - Haotian Luo; Haidong Teng; Desmond Y. R. Chong; Zhan Liu (Medical Biol. Eng. Comput., 2023)

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. - Xinyuan Wang 010; Chenxi Li; Zhen Wang 041; Fan Bai 006; Haotian Luo; Jiayou Zhang; Nebojsa Jojic; Eric P. Xing; Zhiting Hu (ICLR, 2024)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. - Shibo Hao; Yi Gu; Haotian Luo; Tianyang Liu 003; Xiyan Shao; Xinyuan Wang 010; Shuhua Xie; Haodi Ma; Adithya Samavedhi; Qiyue Gao; Zhen Wang 041; Zhiting Hu (CoRR, 2024)

Latent Distance Guided Alignment Training for Large Language Models. - Haotian Luo (CoRR, 2024)

EMR sharing system with lightweight searchable encryption and rights management. - Haotian Luo; Niansong Mei; Chong Du (Clust. Comput., 2024)

O1-Pruner: Length-Harmonizing Fine-Tuning for O1-Like Reasoning Pruning. - Haotian Luo; Li Shen 008; Haiying He; Yibo Wang; Shiwei Liu 003; Wei Li 190; Naiqiang Tan; Xiaochun Cao; Dacheng Tao (CoRR, 2025)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation. - Yibo Wang; Tiansheng Huang; Li Shen 008; Huanjin Yao; Haotian Luo; Rui Liu; Naiqiang Tan; Jiaxing Huang 001; Dacheng Tao (CoRR, 2025)

AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization. - Haotian Luo; Haiying He; Yibo Wang; Jinluan Yang; Rui Liu; Naiqiang Tan; Xiaochun Cao; Dacheng Tao; Li Shen 008 (CoRR, 2025)