An Integrated Approach to Chinese Word Segmentation and Part-of-Speech Tagging. - Maosong Sun 001; Dongliang Xu; Benjamin K. Tsou; Huaming Lu (ICCPOL, 2006)

Disyllabic Chinese Word Extraction Based on Character Thesaurus and Semantic Constraints in Word-Formation. - Maosong Sun 001; Dongliang Xu; Benjamin Ka-Yin T'sou; Huaming Lu (TSD, 2008)

Customer Knowledge Network Based on Service Interaction: A Typology and Spiral Model. - Ruoyong Zhang; Dongliang Xu; Yanhai Zhao (BIFE, 2012)

An Efficient Parallel String Matching Algorithm Based on DFA. - Yujian Fan; Hongli Zhang 001; Jiahui Liu; Dongliang Xu (ISCTCS, 2012)

The Improved AC High-Performance Pattern-Matching Algorithm for Intrusion Detection. - Dongliang Xu; Hongli Zhang 001; Miao Hou (APWeb Workshophs, 2014)

Matrix-based parallel pattern matching method. - Hongli Zhang 001; Dongliang Xu; Lei Zhang 065; Yanbin Sun (ICC, 2015)

An efficient parallel algorithm for exact multi-pattern matching. - Hongli Zhang 001; Dongliang Xu; Zhihong Tian; Yujian Fan (Secur. Commun. Networks, 2015)

Biological entity relationship extraction method based on multiple kernel learning. - Dongliang Xu; Jingchang Pan; Bailing Wang; Xinyi Zou (BIBM, 2016)

Multiple kernels learning-based biological entity relationship extraction method. - Dongliang Xu; Jingchang Pan; Bailing Wang (J. Biomed. Semant., 2017)

Mining and Analysis of User Relationship Based on Microblog Data. - Haoyang Li; Dongliang Xu; Jingchang Pan (ICBDR, 2018)

Massive Fishing Website URL Parallel Filtering Method. - Dongliang Xu; Jingchang Pan; Xiaojiang Du; Bailing Wang; Meng Liu 007; Qinma Kang (IEEE Access, 2018)

Verification Code Recognition Based on Active and Deep Learning. - Dongliang Xu; Bailing Wang; Xiaojiang Du; Xiaoyan Zhu 005; Zhitao Guan; Xiaoyan Yu; Jingyu Liu (ICNC, 2019)

A Packet Aggregation Scheme for WIA-PA Networks Based on Wireless Channel State. - Heng Wang 003; Liuqing Chen; Dongliang Xu; Min Li 005 (WCSP, 2019)

Information Dissemination Model of Microblogging with Internet Marketers. - Dongliang Xu; Jingchang Pan; Bailing Wang; Meng Liu 007; Qinma Kang (J. Inf. Process. Syst., 2019)

A Two-Stage Approach to Collaborative Fiber Placement through Coordination of Multiple Autonomous Industrial Robots. - Mahdi Hassan; Dikai Liu; Dongliang Xu (J. Intell. Robotic Syst., 2019)

Deep learning based emotion analysis of microblog texts. - Dongliang Xu; Zhihong Tian; Rufeng Lai; Xiangtao Kong; Zhiyuan Tan 001; Wei Shi 001 (Inf. Fusion, 2020)

Combining Explicit Entity Graph with Implicit Text Information for News Recommendation. - Xuanyu Zhang; Qing Yang 033; Dongliang Xu (WWW (Companion Volume), 2021)

Multi-Candidate Voting Model Based on Blockchain. - Dongliang Xu; Wei Shi 001; Wensheng Zhai; Zhihong Tian (IEEE CAA J. Autom. Sinica, 2021)

Mechanism of action of the Wuzi Yanzong prescription to treat asthenozoospermia based on network pharmacology and molecular docking. - Xinyu Zhai; Minyue Tan; Zhong Wan; Yi Ding; Minyao Ge; Dongliang Xu (Int. J. Data Min. Bioinform., 2021)

Iterated shape-bias graph cut with application to ellipse segmentation. - Xin Sun 003; Dong Li; Wei Wang 107; Hongxun Yao; Dongliang Xu; Zhanwei Du; Mingui Sun (J. Intell. Fuzzy Syst., 2021)

Efficient Non-sampling Expert Finding. - Hongtao Liu; Zhepeng Lv; Qing Yang 033; Dongliang Xu; Qiyao Peng 001 (CIKM, 2022)

ExpertBert: Pretraining Expert Finding. - Hongtao Liu; Zhepeng Lv; Qing Yang 033; Dongliang Xu; Qiyao Peng 001 (CIKM, 2022)

DeepVT: Deep View-Temporal Interaction Network for News Recommendation. - Xuanyu Zhang; Qing Yang 033; Dongliang Xu (CIKM, 2022)

Instance-Guided Prompt Learning for Few-Shot Text Matching. - Jia Du; Xuanyu Zhang; Siyi Wang; Kai Wang; Yanquan Zhou; Lei Li 009; Qing Yang 033; Dongliang Xu (EMNLP (Findings), 2022)

TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation. - Xuanyu Zhang; Qing Yang 033; Dongliang Xu (EMNLP (Findings), 2022)

Just ClozE! A Fast and Simple Method for Evaluating the Factual Consistency in Abstractive Summarization. - Yiyang Li; Lei Li 009; Qing Yang 033; Marina Litvak; Natalia Vanetik; Dingxin Hu; Yuze Li; Yanquan Zhou; Dongliang Xu; Xuanyu Zhang (CoRR, 2022)

XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters. - Xuanyu Zhang; Qing Yang 033; Dongliang Xu (CoRR, 2023)

High-order schemes for the fractional coupled nonlinear Schrödinger equation. - Fengli Yin; Dongliang Xu; Wenjie Yang (Networks Heterog. Media, 2023)

A novel traffic optimization method using GRU based deep neural network for the IoV system. - Wu Wen; Dongliang Xu; Yang Xia (PeerJ Comput. Sci., 2023)

TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning. - Guangshuai Wang; Tao Wu; Wei Ning; Kaixuan Diao; Xiaoqin Sun; Jinyu Wang; Chenxu Wu; Jing Chen; Dongliang Xu; Xue-Song Liu (Briefings Bioinform., 2023)

SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. - Weixiang Zhao; Shilong Wang 003; Yulin Hu; Yanyan Zhao; Bing Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (ACL (1), 2024)

The Digital Blossoming: Generative Flowers of Ethnic Wisdom. - Ze Gao; Mengyao Guo; Yutong Chen; Dongliang Xu; Zhiwei Wang (Creativity & Cognition, 2024)

Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning. - Dingxin Hu; Xuanyu Zhang; Xingyue Zhang; Yiyang Li; Dongsheng Chen; Marina Litvak; Natalia Vanetik; Qing Yang 033; Dongliang Xu; Yanquan Zhou; Lei Li 009; Yuze Li; et al. (LREC/COLING, 2024)

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Haichao Zhu; Jiafeng Liang; Liping Shan; Ming Liu 004; Dongliang Xu; Qing Yang 033; Bing Qin 001 (LREC/COLING, 2024)

Advancing Large Language Model Attribution through Self-Improving. - Lei Huang 021; Xiaocheng Feng; Weitao Ma; Liang Zhao; Yuchun Fan; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Libo Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (EMNLP, 2024)

Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training. - Yixuan Wang; Xianzhen Luo; Fuxuan Wei; Yijun Liu; Qingfu Zhu; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (EMNLP, 2024)

Extending Context Window of Large Language Models from a Distributional Perspective. - Yingsheng Wu; Yuxuan Gu; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. - Yangfan Ye; Xiachong Feng; Xiaocheng Feng; Weitao Ma; Libo Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001 (EMNLP, 2024)

Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. - Liang Zhao; Xiachong Feng; Xiaocheng Feng; Weihong Zhong; Dongliang Xu; Qing Yang 033; Hongtao Liu; Bing Qin 001; Ting Liu 001 (EMNLP (Findings), 2024)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (NeurIPS, 2024)

MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. - Yanrui Du; Sendong Zhao; Danyang Zhao; Ming Ma; Yuhan Chen 002; Liangyu Huo; Qing Yang 033; Dongliang Xu; Bing Qin 001 (NeurIPS, 2024)

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers. - Xin Lu; Yanyan Zhao; Bing Qin 001; Liangyu Huo; Qing Yang 033; Dongliang Xu (NeurIPS, 2024)

DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models. - Weixiang Zhao; Shilong Wang 003; Yulin Hu; Yanyan Zhao; Bing Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Libo Qin 001; Xu Wang; Qing Yang 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Xu Wang; Qing Yang 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (CoRR, 2024)

MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. - Yanrui Du; Sendong Zhao; Danyang Zhao; Ming Ma; Yuhan Chen 002; Liangyu Huo; Qing Yang 033; Dongliang Xu; Bing Qin 001 (CoRR, 2024)

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling. - Xianzhen Luo; Yixuan Wang; Qingfu Zhu; Zhiming Zhang; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Huiming Fan; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (CoRR, 2024)

A Multiarea Forecasting-Aided State Estimation Strategy for Unbalance Distribution Networks. - Dongliang Xu; Zaijun Wu; Junjun Xu; Yingwen Zhu; Qinran Hu (IEEE Trans. Ind. Informatics, 2024)

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling. - Xianzhen Luo; Yixuan Wang; Qingfu Zhu; Zhiming Zhang; Xuanyu Zhang; Qing Yang 033; Dongliang Xu (ACL (1), 2025)

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. - Yang Zhao 023; Li Du; Xiao Ding; Yangou Ouyang; Hepeng Wang; Kai Xiong 002; Jinglong Gao; Zhouhao Sun; Dongliang Xu; Qing Yang 033; Dongchen Li; Bing Qin 001; et al. (ACL (1), 2025)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (COLING, 2025)

Simple Radiology VLLM Test-time Scaling with Thought Graph Traversal. - Yue Yao; Zelin Wen; Yan Tong; Xinyu Tian; Xuqing Li; Xiao Ma; Dongliang Xu; Tom Gedeon (CoRR, 2025)