Re-ID Driven Localization Refinement for Person Search. - Chuchu Han; Jiacheng Ye; Yunshan Zhong; Xin Tan 002; Chi Zhang 026; Changxin Gao; Nong Sang (ICCV, 2019)

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features. - Tao Gui; Lizhi Qing; Qi Zhang 001; Jiacheng Ye; Hang Yan 001; Zichu Fei; Xuanjing Huang 001 (CoRR, 2019)

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features. - Tao Gui; Lizhi Qing; Qi Zhang 001; Jiacheng Ye; Hang Yan 001; Zichu Fei; Xuanjing Huang 001 (AAAI, 2020)

Uncertainty-Aware Label Refinement for Sequence Labeling. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Zhengyan Li; Zichu Fei; Yeyun Gong; Xuanjing Huang 001 (EMNLP (1), 2020)

Leveraging Document-Level Label Consistency for Named Entity Recognition. - Tao Gui; Jiacheng Ye; Qi Zhang 001; Yaqian Zhou 001; Yeyun Gong; Xuanjing Huang 001 (IJCAI, 2020)

Design of a Mixed Reality Based System for Multimedia Content Presentation. - Nanxi Chen; Ajit Sarkaar; Jooyoung Whang; Jackson Wonderly; Jiacheng Ye; Denis Gracanin (VR Workshops, 2020)

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. - Xiao Wang 001; Qin Liu 010; Tao Gui; Qi Zhang 001; Yicheng Zou; Xin Zhou 012; Jiacheng Ye; Yongxin Zhang; Rui Zheng; Zexiong Pang; Qinzhuo Wu; Zhengyan Li; et al. (ACL (demo), 2021)

One2Set: Generating Diverse Keyphrases as a Set. - Jiacheng Ye; Tao Gui; Yichao Luo; Yige Xu 001; Qi Zhang 001 (ACL/IJCNLP (1), 2021)

Question answering algorithm based on deep learning. - Liangyu Nie; Jiacheng Ye (EITCE, 2021)

Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning. - Yichao Luo; Yige Xu 001; Jiacheng Ye; Xipeng Qiu; Qi Zhang 001 (EMNLP (Findings), 2021)

Heterogeneous Graph Neural Networks for Keyphrase Generation. - Jiacheng Ye; Ruijian Cai; Tao Gui; Qi Zhang 001 (EMNLP (1), 2021)

A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning. - Nathaniel Lahn; Sharath Raghvendra; Jiacheng Ye (NeurIPS, 2021)

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. - Jiacheng Ye; Jiahui Gao; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (EMNLP (Findings), 2022)

ZeroGen: Efficient Zero-shot Learning via Dataset Generation. - Jiacheng Ye; Jiahui Gao; Qintong Li; Hang Xu 004; Jiangtao Feng; Zhiyong Wu 003; Tao Yu 009; Lingpeng Kong (EMNLP, 2022)

ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning. - Jiahui Gao; Renjie Pi; Yong Lin; Hang Xu 004; Jiacheng Ye; Zhiyong Wu 003; Xiaodan Liang; Zhenguo Li; Lingpeng Kong (CoRR, 2022)

Self-adaptive In-context Learning. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (CoRR, 2022)

Uncertainty-Aware Sequence Labeling. - Jiacheng Ye; Xiang Zhou; Xiaoqing Zheng; Tao Gui; Qi Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering. - Zhiyong Wu 003; Yaoxiang Wang; Jiacheng Ye; Lingpeng Kong (ACL (1), 2023)

OpenICL: An Open-Source Framework for In-context Learning. - Zhenyu Wu; Yaoxiang Wang; Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Jingjing Xu 001; Yu Qiao 001 (ACL (demo), 2023)

Generating Data for Symbolic Language with Large Language Models. - Jiacheng Ye; Chengzu Li; Lingpeng Kong; Tao Yu 009 (EMNLP, 2023)

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. - Jiahui Gao; Renjie Pi; Yong Lin; Hang Xu 004; Jiacheng Ye; Zhiyong Wu 003; Weizhong Zhang; Xiaodan Liang; Zhenguo Li; Lingpeng Kong (ICLR, 2023)

Compositional Exemplars for In-context Learning. - Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (ICML, 2023)

Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability. - Jiacheng Ye; Xijia Tao; Lingpeng Kong (CoRR, 2023)

Validation of the Ocean Wave Spectrum from the Remote Sensing Data of the Chinese-French Oceanography Satellite. - Songlin Li; Huaming Yu; Kejian Wu; Xunqiang Yin; Shuyan Lang; Jiacheng Ye (Remote. Sens., 2023)

PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA. - Sheng Wang; Boyang Xue; Jiacheng Ye; Jiyue Jiang; Liheng Chen; Lingpeng Kong; Chuan Wu (ACL (1), 2024)

Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models. - Jiacheng Ye; Shansan Gong; Liheng Chen; Lin Zheng; Jiahui Gao; Han Shi; Chuan Wu; Xin Jiang; Zhenguo Li; Wei Bi; Lingpeng Kong (NeurIPS, 2024)

A Stochastic Analog SAT Solver in 65nm CMOS Achieving 6.6μs Average Solution Time with 100% Solvability for Hard 3-SAT Problems. - Qiaochu Zhang; Shiyu Su; Zerui Liu; Hsiang-Chun Cheng; Zhengyi Qiu; Mayank Palaria; Jiacheng Ye; Deming Meng; Buyun Chen; Sushmit Hossain; Wei Wu; Mike Shuo-Wei Chen (VLSI Technology and Circuits, 2024)

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models. - Jiacheng Ye; Shansan Gong; Liheng Chen; Lin Zheng; Jiahui Gao; Han Shi; Chuan Wu; Zhenguo Li; Wei Bi; Lingpeng Kong (CoRR, 2024)

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. - Jiacheng Ye; Jiahui Gao; Shansan Gong; Lin Zheng; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (CoRR, 2024)

Leaky Cable Perimeter Intrusion Detection Based on Deep Reinforcement Learning. - Jiacheng Ye; Junshi Lv; Gaoming Xu; Taijun Liu (IEEE Internet Things J., 2024)

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model. - Jiahui Gao; Renjie Pi; Jipeng Zhang; Jiacheng Ye; Wanjun Zhong; Yufei Wang 005; Lanqing Hong; Jianhua Han; Hang Xu 004; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Scaling Diffusion Language Models via Adaptation from Autoregressive Models. - Shansan Gong; Shivam Agarwal; Yizhe Zhang 002; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han 001; Hao Peng 009; Lingpeng Kong (ICLR, 2025)

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning. - Jiacheng Ye; Jiahui Gao; Shansan Gong; Lin Zheng; Xin Jiang; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Implicit Search via Discrete Diffusion: A Study on Chess. - Jiacheng Ye; Zhenyu Wu; Jiahui Gao; Zhiyong Wu 003; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (ICLR, 2025)

Dream 7B: Diffusion Large Language Models. - Jiacheng Ye; Zhihui Xie 002; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang 002; Zhenguo Li; Lingpeng Kong (CoRR, 2025)