Research on Self-determined Learning Model for Training Students in Management Based on Web Resources. - Guangshe Jia; Di Yin (CSEE (3), 2011)

Empirical Study of POI-Oriented Focused Crawler. - Xin Fan; Jun-sheng Zhou; Can-yu Cheng; Yi-chu Zhou; Di Yin (CSWS, 2012)

Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons. - Di Yin; Shujian Huang; Xin-Yu Dai; Jiajun Chen 001 (IJCAI, 2019)

The key to the weak-ties phenomenon. - Ke-Ke Shang 001; Michael Small; Di Yin; Yan Wang; Tong-chen Li (CoRR, 2019)

A novel metric for community detection. - Ke-Ke Shang 001; Michael Small; Yan Wang; Di Yin; Shu Li (CoRR, 2019)

Security situation assessment for massive MIMO systems for 5G communications. - Shiqi Yang; Di Yin; Xia Song; Xiaoming Dong; Gunasekaran Manogaran; George Mastorakis; Constandinos X. Mavromoustakis; Jordi Mongay Batalla (Future Gener. Comput. Syst., 2019)

Learning to Generate Personalized Query Auto-Completions via a Multi-View Multi-Task Attentive Approach. - Di Yin; Jiwei Tan; Zhe Zhang; Hongbo Deng; Shujian Huang; Jiajun Chen 001 (KDD, 2020)

Research of the Control Strategy of VIENNA Rectifier Circuit based on the Vector Control. - Fengzhi Dai; Yuxuan Zhu; Di Yin; Yasheng Yuan (J. Robotics Netw. Artif. Life, 2020)

Muscle Characteristics of Flexible Redundant Hybrid Manipulators Based on Pneumatic Artificical Muscles. - Feilong Jiang; Hao Liu; Di Yin (CRC, 2021)

Grafting Pre-trained Models for Multimodal Headline Generation. - Lingfeng Qiao; Chen Wu; Ye Liu 013; Haoyuan Peng; Di Yin; Bo Ren 002 (EMNLP (Industry Track), 2022)

Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning. - Zhuoxuan Jiang; Lingfeng Qiao; Di Yin; Shanshan Feng; Bo Ren 002 (AACL/IJCNLP (1), 2022)

OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification. - Ye Liu 013; Lingfeng Qiao; Di Yin; Zhuoxuan Jiang; Xinghua Jiang; Deqiang Jiang; Bo Ren 002 (ACM Multimedia, 2022)

RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction. - Yuan Liang; Zhuoxuan Jiang; Di Yin; Bo Ren 002 (NAACL-HLT, 2022)

Contrastive Graph Multimodal Model for Text Classification in Videos. - Ye Liu 013; Changchong Lu; Chen Lin; Di Yin; Bo Ren 002 (CoRR, 2022)

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document. - Chen Lin; Ye Liu 013; Siyu An; Di Yin (CoRR, 2022)

OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation. - Ye Liu 013; Lingfeng Qiao; Changchong Lu; Di Yin; Chen Lin; Haoyuan Peng; Bo Ren 002 (CVPR, 2023)

VKIE: The Application of Key Information Extraction on Video Text. - Siyu An; Ye Liu 013; Haoyuan Peng; Di Yin (EMNLP (Industry Track), 2023)

Unsupervised Extractive Summarization With Heterogeneous Graph Embeddings for Chinese Documents. - Chen Lin; Ye Liu 013; Siyu An; Di Yin (ICASSP, 2023)

Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning. - Zhen Zhao 001; Meng Zhao 003; Ye Liu 013; Di Yin; Luping Zhou (ACM Multimedia, 2023)

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation. - Junru Lu; Siyu An; Mingbao Lin; Gabriele Pergola; Yulan He 001; Di Yin; Xing Sun 001; Yunsheng Wu (CoRR, 2023)

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation. - Zhen Zhao 001; Ye Liu 013; Meng Zhao 003; Di Yin; Yixuan Yuan; Luping Zhou (CoRR, 2023)

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. - Chaoyou Fu; Renrui Zhang; Zihan Wang; Yubo Huang; Zhengye Zhang; Longtian Qiu; Gaoxiang Ye; Yunhang Shen; Mengdan Zhang; Peixian Chen; Sirui Zhao; Shaohui Lin; et al. (CoRR, 2023)

D-MFPN: A Doppler Feature Matrix Fused with a Multilayer Feature Pyramid Network for SAR Ship Detection. - Yucheng Zhou; Kun Fu; Bing Han 011; Junxin Yang; Zongxu Pan; Yuxin Hu; Di Yin (Remote. Sens., 2023)

Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. - Junru Lu; Jiazheng Li 002; Siyu An; Meng Zhao; Yulan He 001; Di Yin; Xing Sun 001 (EMNLP, 2024)

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. - Junru Lu; Siyu An; Min Zhang 005; Yulan He 001; Di Yin; Xing Sun 001 (CoRR, 2024)

CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments. - Kaixuan Huang; Yuanhao Qu; Henry Cousins; William A. Johnson; Di Yin; Mihir Shah; Denny Zhou; Russ B. Altman; Mengdi Wang; Le Cong (CoRR, 2024)

FinVerse: An Autonomous Agent System for Versatile Financial Analysis. - Siyu An; Qin Li; Junru Lu; Di Yin; Xing Sun 001 (CoRR, 2024)

SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models. - Shujuan Zhao; Lingfeng Qiao; Kangyang Luo; Qian-Wen Zhang; Junru Lu; Di Yin (CoRR, 2024)

VITA: Towards Open-Source Interactive Omni Multimodal LLM. - Chaoyou Fu; Haojia Lin; Zuwei Long; Yunhang Shen; Meng Zhao; Yifan Zhang 004; Xiong Wang; Di Yin; Long Ma; Xiawu Zheng; Ran He 001; Rongrong Ji; et al. (CoRR, 2024)

CJEval: A Benchmark for Assessing Large Language Models Using Chinese Junior High School Exam Data. - Qian-Wen Zhang; Haochen Wang; Fang Li; Siyu An; Lingfeng Qiao; Liangcai Gao; Di Yin; Xing Sun 001 (CoRR, 2024)

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. - Wenhao Liu; Siyu An; Junru Lu; Muling Wu; Tianlong Li; Xiaohua Wang; Xiaoqing Zheng; Di Yin; Xing Sun 001; Xuanjing Huang 001 (CoRR, 2024)

A Radio Frequency Interference Screening Framework - From Quick-Look Detection Using Statistics-Assisted Network to Raw Echo Tracing. - Jiayuan Shen; Bing Han 011; Li Yang; Zongxu Pan; Di Yin; Yugang Feng; Guangzuo Li (Remote. Sens., 2024)

A Two-Step Nonstop-and-Go Phase Compensation Method for Spaceborne SAR With High-Resolution High-Squint-Angle and Wide-Swath. - Yifan Wu; Lijia Huang; Bingchen Zhang; Lihua Zhong; Di Yin; Dadi Meng; Yuxin Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing. - Wenhao Liu; Siyu An; Junru Lu; Muling Wu; Tianlong Li; Xiaohua Wang; Changze Lv; Xiaoqing Zheng; Di Yin; Xing Sun 001; Xuanjing Huang 001 (ACL (Findings), 2025)

RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. - Junru Lu; Jiazheng Li 002; Guodong Shen; Lin Gui 003; Siyu An; Yulan He 001; Di Yin; Xing Sun 001 (ACL (Findings), 2025)

Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models. - Kangyang Luo; Zichen Ding 002; Zhenmin Weng; Lingfeng Qiao; Meng Zhao; Xiang Li 067; Di Yin; Jinlong Shu (ACL (Findings), 2025)

RolePlot: A Systematic Framework for Evaluating and Enhancing the Plot-Progression Capabilities of Role-Playing Agents. - Pinyi Zhang; Siyu An; Lingfeng Qiao; Yifei Yu; Jingyang Chen; Jie Wang; Di Yin; Xing Sun; Kai Zhang (ACL (1), 2025)

FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. - Junru Lu; Siyu An; Min Zhang 005; Yulan He 002; Di Yin; Xing Sun 001 (COLING, 2025)

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL. - Bing Wang; Changyu Ren; Jian Yang 030; Xinnian Liang; Jiaqi Bai; Linzheng Chai; Zhao Yan; Qian-Wen Zhang; Di Yin; Xing Sun; Zhoujun Li 001 (COLING, 2025)

Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts. - Yifei Yu; Qian-Wen Zhang; Lingfeng Qiao; Di Yin; Fang Li; Jie Wang; Zengxi Chen; Suncong Zheng; Xiaolong Liang; Xing Sun (CoRR, 2025)

FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction. - Qian-Wen Zhang; Fang Li; Jie Wang; Lingfeng Qiao; Yifei Yu; Di Yin; Xing Sun (CoRR, 2025)

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation. - Yilin Xiao 002; Junnan Dong; Chuang Zhou 002; Su Dong; Qian-wen Zhang; Di Yin; Xing Sun; Xiao Huang 001 (CoRR, 2025)

CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity. - Bowen Zhang; Zixin Song; Chunquan Chen; Qian-Wen Zhang; Di Yin; Xing Sun (CoRR, 2025)