Evolutionary Design of Combinational Circuits Based on an Embryo Circuit Module. - Zhimei Zhang; Shuang Qiao; Chunju Li; Honggang Wang; Yao Li; Liying Cheng (ICNC (1), 2008)

Strategic Design of the Purchase System Toward R&D Supply Chain Based on SNA. - Liying Cheng; Decheng Wen; Zhongrui Sun (Int. J. Inf. Syst. Supply Chain Manag., 2015)

Route leakage detection algorithm based on new feature discovery. - Liying Cheng; Pei Zhang 003; Yan Ma 003 (ICCIP, 2018)

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. - Liying Cheng; Lidong Bing; Qian Yu; Wei Lu 011; Luo Si (EMNLP (1), 2020)

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. - Liying Cheng; Dekun Wu; Lidong Bing; Yan Zhang 004; Zhanming Jie; Wei Lu 011; Luo Si (EMNLP (1), 2020)

Segmentation of pulmonary vessels based on MSFM method. - Xiaowei Wang; Liying Cheng; Danyang Huang; Xuanshuang Gao; Daili Liang; Liuye He; Zhimei Zhang; Nan Li; Wenjun Tan (HealthCom, 2020)

Knowledge Graph Empowered Entity Description Generation. - Liying Cheng; Yan Zhang 004; Dekun Wu; Zhanming Jie; Lidong Bing; Wei Lu 011; Luo Si (CoRR, 2020)

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. - Liying Cheng; Tianyu Wu; Lidong Bing; Luo Si (ACL/IJCNLP (1), 2021)

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. - Ruidan He; Linlin Liu; Hai Ye; Qingyu Tan; Bosheng Ding; Liying Cheng; Jia-Wei Low; Lidong Bing; Luo Si (ACL/IJCNLP (1), 2021)

Overview of Argumentative Text Understanding for AI Debater Challenge. - Jian Yuan; Liying Cheng; Ruidan He; Yinzi Li; Lidong Bing; Zhongyu Wei; Qin Liu 010; Chenhui Shen; Shuonan Zhang; Changlong Sun; Luo Si; Changjian Jiang; et al. (NLPCC (2), 2021)

MReD: A Meta-Review Dataset for Controllable Text Generation. - Chenhui Shen; Liying Cheng; Ran Zhou 004; Lidong Bing; Yang You; Luo Si (CoRR, 2021)

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. - Liying Cheng; Lidong Bing; Ruidan He; Qian Yu; Yan Zhang 004; Luo Si (ACL (1), 2022)

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. - Chenhui Shen; Liying Cheng; Ran Zhou 004; Lidong Bing; Yang You; Luo Si (ACL (Findings), 2022)

SentBS: Sentence-level Beam Search for Controllable Summarization. - Chenhui Shen; Liying Cheng; Lidong Bing; Yang You; Luo Si (EMNLP, 2022)

Segmentation of lung parenchyma based on new U-NET network. - Liying Cheng; Longtao Jiang; Xiaowei Wang; Zuchen Liu; Shuai Zhao (Int. J. Wirel. Mob. Comput., 2022)

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. - Jia Guo; Liying Cheng; Wenxuan Zhang 001; Stanley Kok; Xin Li 056; Lidong Bing (ACL (Findings), 2023)

Is GPT-4 a Good Data Analyst? - Liying Cheng; Xingxuan Li; Lidong Bing (EMNLP (Findings), 2023)

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. - Chenhui Shen; Liying Cheng; Xuan-Phi Nguyen; Yang You; Lidong Bing (EMNLP (Findings), 2023)

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. - Chenhui Shen; Liying Cheng; Xuan-Phi Nguyen; Yang You; Lidong Bing (EMNLP (Findings), 2023)

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. - Huiming Wang; Liying Cheng; Wenxuan Zhang 001; De Wen Soh; Lidong Bing (CoRR, 2023)

Are Large Language Models Good Evaluators for Abstractive Summarization? - Chenhui Shen; Liying Cheng; Yang You; Lidong Bing (CoRR, 2023)

Unlocking Temporal Question Answering for Large Language Models Using Code Execution. - Xingxuan Li; Liying Cheng; Qingyu Tan; Hwee Tou Ng; Shafiq Joty; Lidong Bing (CoRR, 2023)

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. - Huiming Wang; Liying Cheng; Zhaodonghui Li; De Wen Soh; Lidong Bing (CoRR, 2023)

SeaLLMs - Large Language Models for Southeast Asia. - Xuan-Phi Nguyen; Wenxuan Zhang 001; Xin Li 056; Mahani Aljunied; Qingyu Tan; Liying Cheng; Guanzheng Chen; Yue Deng 010; Sen Yang 005; Chaoqun Liu; Hang Zhang; Lidong Bing (CoRR, 2023)

Broad learning solution for rapid diagnosis of COVID-19. - Xiaowei Wang; Liying Cheng; Dan Zhang; Zuchen Liu; Longtao Jiang (Biomed. Signal Process. Control., 2023)

Exploring the Potential of Large Language Models in Computational Argumentation. - Guizhen Chen; Liying Cheng; Anh Tuan Luu; Lidong Bing (ACL (1), 2024)

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. - Huiming Wang; Liying Cheng; Wenxuan Zhang 001; De Wen Soh; Lidong Bing (ACL (1), 2024)

Reasoning Robustness of LLMs to Adversarial Typographical Errors. - Esther Gan; Yiran Zhao 006; Liying Cheng; Yancan Mao; Anirudh Goyal; Kenji Kawaguchi; Min-Yen Kan; Michael Shieh (EMNLP, 2024)

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. - Huiming Wang; Zhaodonghui Li; Liying Cheng; De Wen Soh; Lidong Bing (NAACL-HLT, 2024)

Early Detection of Ripeness for the Picking of Xanthoceras Sorbifolium Using Feature Excitation-Based Broad Learning System. - Dan Zhang; Zuchen Liu; Liying Cheng; Tieshan Li; Liru Guo (IEEE Access, 2024)

M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework. - Yew Ken Chia; Liying Cheng; Hou Pong Chan; Chaoqun Liu; Maojia Song; Sharifah Mahani Aljunied; Soujanya Poria; Lidong Bing (CoRR, 2024)