| 2026 | ACL | HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution. | Hanhua Hong, Yizhi LI, Jiaoyan Chen, Sophia Ananiadou, Xiaoli Li, Jung-jae Kim, Chenghua Lin |
| 2026 | ACL | RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation. | Joseph James, Chenghao Xiao, Yucheng Li, Nafise Sadat Moosavi, Chenghua Lin |
| 2026 | ACL | X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation. | Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin |
| 2026 | EACL | COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. | Siwei Wu, JinCheng Ren, Xeron Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tyler Loakman, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zili Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Eleanor Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin |
| 2026 | EACL | MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models. | Siwei Wu, King Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin |
| 2026 | WWW | Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection. | Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin |
| 2026 | WWW | PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. | Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin |
| 2025 | ACL | Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching. | Jianfei Zhang, Bei Li, Jun Bai, Rumei Li, Yanmeng Wang, Chenghua Lin, Wenge Rong |
| 2025 | ACL | Can MLLMs Understand the Deep Implication Behind Chinese Images? | Chenhao Zhang, Xi Feng, Yuelin Bai, Xeron Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni |
| 2025 | ACL | LIME: Less Is More for MLLM Evaluation. | King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shuyue Guo, Tianyu Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Ruibo Liu, Xiang Yue, Jiaheng Liu, Chenghua Lin, Hamid Alinejad-Rokny, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang |
| 2025 | COLING | From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. | Tomas Goldsack, Yang Wang, Chenghua Lin, Chung-Chi Chen |
| 2025 | COLING | Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks. | Yang Wang, Chenghua Lin |
| 2025 | COLING | Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment. | Jianfei Zhang, Jun Bai, Bei Li, Yanmeng Wang, Rumei Li, Chenghua Lin, Wenge Rong |
| 2025 | EMNLP | Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond. | Rubing Chen, Jiaxin Wu, Jian Wang, Xulu Zhang, Wenqi Fan, Chenghua Lin, Xiaoyong Wei, Li Qing |
| 2025 | EMNLP | DocMMIR: A Framework for Document Multi-modal Information Retrieval. | Zirui Li, Siwei Wu, Yizhi Li, Xingyu Wang, Yi Zhou, Chenghua Lin |
| 2025 | EMNLP | Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes. | Tyler Loakman, William Thorne, Chenghua Lin |
| 2025 | EMNLP | Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study. | Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun |
| 2025 | EMNLP | Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth. | Yang Wang, Chenghao Xiao, Chia-Yi Hsiao, Zi Yan Chang, Chi-Li Chen, Tyler Loakman, Chenghua Lin |
| 2025 | EMNLP | Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework. | Bohao Yang, Dong Liu, Chenghao Xiao, Kun Zhao, Chen Tang, Chao Li, Lin Yuan, Yang Guang, Chenghua Lin |
| 2025 | EMNLP | Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation. | Bohao Yang, Kun Zhao, Dong Liu, Chen Tang, Liang Zhan, Chenghua Lin |
| 2025 | ICLR | MuPT: A Generative Symbolic Music Pretrained Transformer. | Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Wenhao Huang, Jie Fu, Ge Zhang |
| 2025 | IJCNLP | Observing Micromotives and Macrobehavior of Large Language Models. | Yuyang Cheng, Xingwei Qu, Tomas Goldsack, Chenghua Lin, Chung-Chi Chen |
| 2025 | IJCNLP | Seeing isn't Hearing: Benchmarking Vision Language Models at Interpreting Spectrograms. | Tyler Loakman, Joseph James, Chenghua Lin |
| 2025 | IJCNLP | ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. | Xiao Wang, Daniil Larionov, Siwei Wu, Yiqi Liu, Steffen Eger, Nafise Sadat Moosavi, Chenghua Lin |
| 2025 | INLG | Who's Laughing Now? An Overview of Computational Humour Generation and Explanation. | Tyler Loakman, William Thorne, Chenghua Lin |
| 2025 | NAACL | COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. | Yuelin Bai, Xeron Du, Yiming Liang, Leo Jin, Junting Zhou, Ziqiang Liu, Feiteng Fang, Mingshan Chang, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Moore Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang |
| 2025 | NAACL | Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence. | Qianren Mao, Weifeng Jiang, Junnan Liu, Chenghua Lin, Qian Li, Xianqing Wen, Jianxin Li, Jinhu Lu |
| 2025 | NAACL | CAST: Corpus-Aware Self-similarity Enhanced Topic modelling. | Yanan Ma, Chenghao Xiao, Chenhan Yuan, Sabine N. van der Veer, Lamiece Hassan, Chenghua Lin, Goran Nenadic |
| 2025 | NAACL | LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models. | Yizheng Sun, Yanze Xin, Hao Li, Jingyuan Sun, Chenghua Lin, Riza Batista-Navarro |
| 2024 | AAAI | LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. | Yucheng Li, Frank Guerin, Chenghua Lin |
| 2024 | ACL | SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. | Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan |
| 2024 | ACL | LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores. | Yiqi Liu, Nafise Sadat Moosavi, Chenghua Lin |
| 2024 | ACL | CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. | Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu |
| 2024 | ACL | SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. | Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin |
| 2024 | ACL | ChatMusician: Understanding and Generating Music Intrinsically with LLM. | Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Liumeng Xue, Ziyang Ma, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Jie Fu, Emmanouil Benetos, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo |
| 2024 | ACL | ATLAS: Improving Lay Summarisation with Attribute-based Control. | Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin |
| 2024 | COLING | CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. | Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu |
| 2024 | COLING | Effective Distillation of Table-based Reasoning Ability from LLMs. | Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin |
| 2024 | EMNLP | An Open-Source Data Contamination Report for Large Language Models. | Yucheng Li, Yunhao Guo, Frank Guerin, Chenghua Lin |
| 2024 | EMNLP | Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. | Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong |
| 2024 | EMNLP | On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. | Joseph James, Chenghao Xiao, Yucheng Li, Chenghua Lin |
| 2024 | EMNLP | With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models. | Tyler Loakman, Yucheng Li, Chenghua Lin |
| 2024 | EMNLP | MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language. | Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin |
| 2024 | ICASSP | Improving Medical Dialogue Generation with Abstract Meaning Representations. | Bohao Yang, Chen Tang, Chenghua Lin |
| 2024 | ICLR | MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. | Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu |
| 2024 | INLG | CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. | Chen Tang, Hongbo Zhang, Tyler Loakman, Bohao Yang, Stefan Goetze, Chenghua Lin |
| 2024 | MODELSWARD | Comparative Evaluation of NLP Approaches for Requirements Formalisation. | Shekoufeh Kolahdouz Rahimi, Kevin Lano, Sobhan Yassipour Tehrani, Chenghua Lin, Yiqi Liu, Muhammad Aminu Umar |
| 2023 | ACL | Metaphor Detection via Explicit Basic Meanings Modelling. | Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin |
| 2023 | ACL | Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information. | Kun Zhao, Bohao Yang, Chenghua Lin, Wenge Rong, Aline Villavicencio, Xiaohui Cui |
| 2023 | ACL | TwistList: Resources and Baselines for Tongue Twister Generation. | Tyler Loakman, Chen Tang, Chenghua Lin |
| 2023 | ACL | Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. | Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin |
| 2023 | EACL | FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. | Yucheng Li, Shun Wang, Chenghua Lin, Frank Guerin, Loc Barrault |
| 2023 | EACL | Metaphor Detection with Effective Context Denoising. | Shun Wang, Yucheng Li, Chenghua Lin, Loc Barrault, Frank Guerin |
| 2023 | ECIR | Domain-Driven and Discourse-Guided Scientific Summarisation. | Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton |
| 2023 | EMNLP | Compressing Context to Enhance Inference Efficiency of Large Language Models. | Yucheng Li, Bo Dong, Frank Guerin, Chenghua Lin |
| 2023 | EMNLP | How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. | Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong |
| 2023 | EMNLP | Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. | Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin |
| 2023 | EMNLP | DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. | Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng, Weiyi Yang, Zheng Wang |
| 2023 | EMNLP | LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs. | Junnan Liu, Qianren Mao, Chenghua Lin, Yangqiu Song, Jianxin Li |
| 2023 | EMNLP | The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation. | Tyler Loakman, Aaron Maladry, Chenghua Lin |
| 2023 | EMNLP | Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. | Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin |
| 2023 | EMNLP | Length is a Curse and a Blessing for Document-level Semantics. | Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed |
| 2023 | ICASSP | Terminology-Aware Medical Dialogue Generation. | Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin |
| 2023 | MODELSWARD | Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review. | Shekoufeh Kolahdouz Rahimi, Kevin Lano, Chenghua Lin |
| 2022 | COLING | CM-Gen: A Neural Framework for Chinese Metaphor Generation with Explicit Context Modelling. | Yucheng Li, Chenghua Lin, Frank Guerin |
| 2022 | EMNLP | Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. | Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton |
| 2022 | EMNLP | TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction. | Yizhi Li, Wei Fan, Chao Liu, Chenghua Lin, Jiang Qian |
| 2022 | EMNLP | EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention. | Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang |
| 2022 | ICDE | Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. | Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu |
| 2022 | IJCNLP | Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. | Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin, Chenghua Lin |
| 2022 | IJCNLP | HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. | Yizhi Li, Ge Zhang, Bohao Yang, Chenghua Lin, Anton Ragni, Shi Wang, Jie Fu |
| 2022 | IJCNLP | NGEP: A Graph-based Event Planning Framework for Story Generation. | Chen Tang, Zhihao Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin |
| 2022 | LREC | Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions. | Thomas Green, Diana Maynard, Chenghua Lin |
| 2021 | ACL | Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. | Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng |
| 2021 | CIKM | Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. | Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang |
| 2021 | EACL | Summarising Historical Text in Modern Languages. | Xutan Peng, Yi Zheng, Chenghua Lin, Advaith Siddharthan |
| 2021 | INLG | Affective Decoding for Empathetic Response Generation. | Chengkun Zheng, Guanyi Chen, Chenghua Lin, Ruizhe Li, Zhi Chen |
| 2021 | NAACL | Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. | Xutan Peng, Guanyi Chen, Chenghua Lin, Mark Stevenson |
| 2021 | NAACL | Cross-Lingual Word Embedding Refinement by $\ell_1$ Norm Optimisation. | Xutan Peng, Chenghua Lin, Mark Stevenson |
| 2021 | NAACL | Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition. | Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong |
| 2020 | COLING | Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. | Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin |
| 2020 | EMNLP | DGST: a Dual-Generator Network for Text Style Transfer. | Xiao Li, Guanyi Chen, Chenghua Lin, Ruizhe Li |
| 2020 | ICML | Latent Space Factorisation and Manipulation via Matrix Subspace Projection. | Xiao Li, Chenghua Lin, Ruizhe Li, Chaozheng Wang, Frank Guerin |
| 2019 | ACL | End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories. | Rui Mao, Chenghua Lin, Frank Guerin |
| 2019 | CoNLL | A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification. | Ruizhe Li, Chenghua Lin, Matthew Collinson, Xiao Li, Guanyi Chen |
| 2019 | INLG | Generating Quantified Descriptions of Abstract Visual Scenes. | Guanyi Chen, Kees van Deemter, Chenghua Lin |
| 2019 | INLG | QTUNA: A Corpus for Understanding How Speakers Use Quantification. | Guanyi Chen, Kees van Deemter, Silvia Pagliaro, Louk Smalbil, Chenghua Lin |
| 2019 | INLG | A Stable Variational Autoencoder for Text Modelling. | Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao |
| 2018 | ACL | Word Embedding and WordNet Based Metaphor Identification and Interpretation. | Rui Mao, Chenghua Lin, Frank Guerin |
| 2018 | INLG | SimpleNLG-ZH: a Linguistic Realisation Engine for Mandarin. | Guanyi Chen, Kees van Deemter, Chenghua Lin |
| 2018 | INLG | Modelling Pro-drop with the Rational Speech Acts Model. | Guanyi Chen, Kees van Deemter, Chenghua Lin |
| 2018 | INLG | Statistical NLG for Generating the Content and Form of Referring Expressions. | Xiao Li, Kees van Deemter, Chenghua Lin |
| 2018 | NLDB | Assessing the Effectiveness of Affective Lexicons for Depression Classification. | Noor Fazilla Abd Yusof, Chenghua Lin, Frank Guerin |
| 2018 | RecSys | Understanding how to Explain Package Recommendations in the Clothes Domain. | Agung Toto Wibowo, Advaith Siddharthan, Judith Masthoff, Chenghua Lin |
| 2017 | IJCNLP | Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences. | Ebuka Ibeke, Chenghua Lin, Adam Z. Wyner, Mohamad Hardyman Barawi |
| 2017 | IJCNLP | Analysing the Causes of Depressed Mood from Depression Vulnerable Individuals. | Noor Fazilla Abd Yusof, Chenghua Lin, Frank Guerin |
| 2017 | NLDB | Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels. | Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan |
| 2017 | RecSys | Matrix Factorization for Package Recommendations. | Agung Toto Wibowo, Advaith Siddharthan, Chenghua Lin, Judith Masthoff |
| 2016 | INLG | Statistics-Based Lexical Choice for NLG from Quantitative Information. | Xiao Li, Kees van Deemter, Chenghua Lin |
| 2015 | WWW | Web as Corpus Supporting Natural Language Generation for Online River Information Communication. | Xiwu Han, Antonio A. R. Ioris, Chenghua Lin |
| 2014 | ECIR | HetPathMine: A Novel Transductive Classification Algorithm on Heterogeneous Information Networks. | Chen Luo, Renchu Guan, Zhe Wang, Chenghua Lin |
| 2014 | ICDM | Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations. | Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin |
| 2012 | ICWSM | Tracking Sentiment and Topic Dynamics from Social Media. | Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong |
| 2011 | ACL | Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification. | Yulan He, Chenghua Lin, Harith Alani |
| 2011 | IJCNLP | Sentence Subjectivity Detection with Weakly-Supervised Learning. | Chenghua Lin, Yulan He, Richard M. Everson |
| 2010 | CoNLL | A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. | Chenghua Lin, Yulan He, Richard M. Everson |
| 2009 | CIKM | Joint sentiment/topic model for sentiment analysis. | Chenghua Lin, Yulan He |
| 2009 | NLDB | Protein-Protein Interactions Classification from Text via Local Learning with Class Priors. | Yulan He, Chenghua Lin |