Using tag semantic network for keyphrase extraction in blogs. - Lizhen Qu; Christof Müller; Iryna Gurevych (CIKM, 2008)

Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge. - Lizhen Qu; Cigdem Toprak; Niklas Jakob; Iryna Gurevych (NTCIR, 2008)

The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. - Lizhen Qu; Georgiana Ifrim; Gerhard Weikum (COLING, 2010)

Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia. - Yafang Wang; Mingjie Zhu; Lizhen Qu; Marc Spaniol; Gerhard Weikum (EDBT, 2010)

Harvesting facts from textual web sources by constrained label propagation. - Yafang Wang; Bin Yang 002; Lizhen Qu; Marc Spaniol; Gerhard Weikum (CIKM, 2011)

A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts. - Lizhen Qu; Rainer Gemulla; Gerhard Weikum (EMNLP-CoNLL, 2012)

Sentiment analysis with limited training data. - Lizhen Qu (2013)

Estimating Maximally Probable Constrained Relations by Mathematical Programming. - Lizhen Qu; Bjoern Andres (CoRR, 2014)

Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM. - Lizhen Qu; Yi Zhang 003; Rui Wang 005; Lili Jiang 002; Rainer Gemulla; Gerhard Weikum (Trans. Assoc. Comput. Linguistics, 2014)

Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks. - Lizhen Qu; Gabriela Ferraro; Liyuan Zhou; Weiwei Hou; Nathan Schneider 001; Timothy Baldwin (CoNLL, 2015)

Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks. - Lizhen Qu; Gabriela Ferraro; Liyuan Zhou; Weiwei Hou; Nathan Schneider 001; Timothy Baldwin (CoRR, 2015)

Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models. - Zhuang Li 001; Lizhen Qu; Qiongkai Xu; Mark Johnson 001 (ALTA, 2016)

Pairwise FastText Classifier for Entity Disambiguation. - Cheng Yu; Bing Chu; Rohit Ram; James Aichinger; Lizhen Qu; Hanna Suominen (ALTA, 2016)

Neighborhood Mixture Model for Knowledge Base Completion. - Dat Quoc Nguyen; Kairit Sirts; Lizhen Qu; Mark Johnson 001 (CoNLL, 2016)

Named Entity Recognition for Novel Types by Transfer Learning. - Lizhen Qu; Gabriela Ferraro; Liyuan Zhou; Weiwei Hou; Timothy Baldwin (EMNLP, 2016)

STransE: a novel embedding model of entities and relationships in knowledge bases. - Dat Quoc Nguyen; Kairit Sirts; Lizhen Qu; Mark Johnson 001 (HLT-NAACL, 2016)

Making Neural Networks Robust to Label Noise: a Loss Correction Approach. - Giorgio Patrini; Alessandro Rozza; Aditya Krishna Menon; Richard Nock; Lizhen Qu (CoRR, 2016)

Demographic Inference on Twitter using Recursive Neural Networks. - Sunghwan Mac Kim; Qiongkai Xu; Lizhen Qu; Stephen Wan 001; Cécile Paris (ACL (2), 2017)

Attentive Graph-based Recursive Neural Network for Collective Vertex Classification. - Qiongkai Xu; Qing Wang 002; Chenchen Xu; Lizhen Qu (CIKM, 2017)

Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. - Giorgio Patrini; Alessandro Rozza; Aditya Krishna Menon; Richard Nock; Lizhen Qu (CVPR, 2017)

Automatic Generation of Grounded Visual Questions. - Shijie Zhang; Lizhen Qu; Shaodi You; Zhenglu Yang; Jiawan Zhang (IJCAI, 2017)

f-GANs in an Information Geometric Nutshell. - Richard Nock; Zac Cranko; Aditya Krishna Menon; Lizhen Qu; Robert C. Williamson (NIPS, 2017)

Collective Vertex Classification Using Recursive Neural Network. - Qiongkai Xu; Qing Wang 002; Chenchen Xu; Lizhen Qu (CoRR, 2017)

D-PAGE: Diverse Paraphrase Generation. - Qiongkai Xu; Juyan Zhang; Lizhen Qu; Lexing Xie; Richard Nock (CoRR, 2018)

Machine Reading Comprehension: Matching and Orders. - Ao Liu 008; Lizhen Qu; Junyu Lu; Chenbin Zhang; Zenglin Xu (CIKM, 2019)

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. - Qiongkai Xu; Chenchen Xu; Lizhen Qu (EMNLP/IJCNLP (3), 2019)

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. - Tue Le; Tuan Nguyen 004; Trung Le 001; Dinh Q. Phung; Paul Montague; Olivier Y. de Vel; Lizhen Qu (ICLR (Poster), 2019)

Deep Domain Adaptation for Vulnerable Code Function Identification. - Van Nguyen 002; Trung Le 001; Tue Le; Khanh Nguyen; Olivier Y. DeVel; Paul Montague; Lizhen Qu; Dinh Q. Phung (IJCNN, 2019)

Privacy-Aware Text Rewriting. - Qiongkai Xu; Lizhen Qu; Chenchen Xu; Ran Cui (INLG, 2019)

Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation. - Yolande A. A. Strengers; Lizhen Qu; Qiongkai Xu; Jarrod Knibbe (CHI, 2020)

Context Dependent Semantic Parsing: A Survey. - Zhuang Li 001; Lizhen Qu; Gholamreza Haffari (COLING, 2020)

CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering. - Farhad Moghimifar; Lizhen Qu; Yue Zhuo 001; Mahsa Baktashmotlagh; Gholamreza Haffari (COLING, 2020)

Personal Information Leakage Detection in Conversations. - Qiongkai Xu; Lizhen Qu; Zeyu Gao; Gholamreza Haffari (EMNLP (1), 2020)

Causal Relationships Between Emotions and Dialog Acts. - Shuyi Cao; Lizhen Qu; Leimin Tian (ACII, 2021)

Neural-Symbolic Commonsense Reasoner with Relation Predictors. - Farhad Moghimifar; Lizhen Qu; Yue Zhuo 001; Gholamreza Haffari; Mahsa Baktashmotlagh (ACL/IJCNLP (2), 2021)

On Robustness of Neural Semantic Parsers. - Shuo Huang; Zhuang Li 001; Lizhen Qu; Lei Pan (EACL, 2021)

Few-Shot Semantic Parsing for New Predicates. - Zhuang Li 001; Lizhen Qu; Shuo Huang; Gholamreza Haffari (EACL, 2021)

Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. - Sheng Bi; Xiya Cheng; Yuan-Fang Li; Lizhen Qu; Shirong Shen; Guilin Qi; Lu Pan; Yinlin Jiang (EMNLP (Findings), 2021)

Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers. - Zhuang Li 001; Lizhen Qu; Gholamreza Haffari (EMNLP (1), 2021)

Privacy Monitoring Service for Conversations. - Qiongkai Xu; Chenchen Xu; Lizhen Qu (WSDM, 2021)

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs. - Qiongkai Xu; Xuanli He; Lingjuan Lyu; Lizhen Qu; Gholamreza Haffari (CoRR, 2021)

Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning. - Suyu Ma; Zhenchang Xing; Chunyang Chen 001; Cheng Chen; Lizhen Qu; Guoqiang Li 001 (IEEE Trans. Software Eng., 2021)

Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. - Qiongkai Xu; Xuanli He; Lingjuan Lyu; Lizhen Qu; Gholamreza Haffari (COLING, 2022)

Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. - Chuang Lin 003; Yi Jiang 004; Jianfei Cai 001; Lizhen Qu; Gholamreza Haffari; Zehuan Yuan (ECCV (36), 2022)

Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. - Zhuang Li 001; Lizhen Qu; Qiongkai Xu; Tongtong Wu; Tianyang Zhan; Gholamreza Haffari (EMNLP, 2022)

Federated Model Decomposition with Private Vocabulary for Text Classification. - Zhuo Zhang 007; Xiangjing Hu; Lizhen Qu; Qifan Wang 001; Zenglin Xu (EMNLP, 2022)

Let's Negotiate! A Survey of Negotiation Dialogue Systems. - Haolan Zhan; Yufei Wang 003; Tao Feng 013; Yuncheng Hua; Suraj Sharma; Zhuang Li 001; Lizhen Qu; Gholamreza Haffari (CoRR, 2022)

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods. - Zhuo Zhang 007; Yuanhang Yang; Yong Dai 001; Lizhen Qu; Zenglin Xu (CoRR, 2022)

CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. - Shigang Liu; Guanjun Lin; Lizhen Qu; Jun Zhang 010; Olivier Y. de Vel; Paul Montague; Yang Xiang 001 (IEEE Trans. Dependable Secur. Comput., 2022)

Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation. - Haolan Zhan; Sameen Maruf; Lizhen Qu; Yufei Wang 003; Ingrid Zukerman; Gholamreza Haffari (ALTA, 2023)

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. - Zhuang Li 001; Yuyang Chai; Terry Yue Zhuo; Lizhen Qu; Gholamreza Haffari; Fei Li 021; Donghong Ji; Quan Hung Tran (ACL (Findings), 2023)

The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning. - Zhuang Li 001; Lizhen Qu; Philip R. Cohen; Raj Tumuluri; Gholamreza Haffari (ACL (1), 2023)

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. - Zhuo Zhang 007; Xiangjing Hu; Jingyuan Zhang; Yating Zhang; Hui Wang 013; Lizhen Qu; Zenglin Xu (ACL (1), 2023)

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. - Zhuo Zhang 007; Yuanhang Yang; Yong Dai 001; Qifan Wang 001; Yue Yu 001; Lizhen Qu; Zenglin Xu (ACL (Findings), 2023)

Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. - Minghao Wu; George F. Foster; Lizhen Qu; Gholamreza Haffari (EACL, 2023)

ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. - Terry Yue Zhuo; Yaqing Liao; Yuecheng Lei; Lizhen Qu; Gerard de Melo; Xiaojun Chang; Yazhou Ren 001; Zenglin Xu (EACL (Findings), 2023)

TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce. - Tongxin Hu; Zhuang Li 001; Xin Jin; Lizhen Qu; Xin Zhang (EMNLP (Industry Track), 2023)

FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices. - Shuo Huang; Lizhen Qu; Xingliang Yuan; Chunyang Chen 001 (EMNLP (Findings), 2023)

Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? - Xiaoxi Kang; Lizhen Qu; Lay-Ki Soon; Adnan Trakic; Terry Yue Zhuo; Patrick Charles Emerton; Genevieve Grant (EMNLP (Findings), 2023)

Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding. - Bhanu Prakash Voutharoja; Lizhen Qu; Fatemeh Shiri (ICDAR (2), 2023)

Learning Object-Language Alignments for Open-Vocabulary Object Detection. - Chuang Lin 003; Peize Sun; Yi Jiang 004; Ping Luo 002; Lizhen Qu; Gholamreza Haffari; Zehuan Yuan; Jianfei Cai 001 (ICLR, 2023)

SocialDial: A Benchmark for Socially-Aware Dialogue Systems. - Haolan Zhan; Zhuang Li 001; Yufei Wang 003; Linhao Luo; Tao Feng 013; Xiaoxi Kang; Yuncheng Hua; Lizhen Qu; Lay-Ki Soon; Suraj Sharma; Ingrid Zukerman; Zhaleh Semnani-Azad; et al. (SIGIR, 2023)

Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs. - Haolan Zhan; Sameen Maruf; Lizhen Qu; Yufei Wang 003; Ingrid Zukerman; Gholamreza Haffari (CoRR, 2023)

Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery. - Tao Feng 013; Lizhen Qu; Gholamreza Haffari (Trans. Assoc. Comput. Linguistics, 2023)

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models. - Tao Feng 013; Lizhen Qu; Zhuang Li 001; Haolan Zhan; Yuncheng Hua; Gholamreza Haffari (ACL (1), 2024)

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. - Zhuo Zhang 007; Jintao Huang; Xiangjing Hu; Jingyuan Zhang; Yating Zhang; Hui Wang 013; Yue Yu 001; Qifan Wang 001; Lizhen Qu; Zenglin Xu (LREC/COLING, 2024)

Generative Region-Language Pretraining for Open-Ended Object Detection. - Chuang Lin 003; Yi Jiang 004; Lizhen Qu; Zehuan Yuan; Jianfei Cai 001 (CVPR, 2024)

Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. - Minghao Wu; Yufei Wang 003; George F. Foster; Lizhen Qu; Gholamreza Haffari (EACL (1), 2024)

Let's Negotiate! A Survey of Negotiation Dialogue Systems. - Haolan Zhan; Yufei Wang 003; Zhuang Li 001; Tao Feng 013; Yuncheng Hua; Suraj Sharma; Lizhen Qu; Zhaleh Semnani-Azad; Ingrid Zukerman; Reza Haffari (EACL (Findings), 2024)

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction. - Yuncheng Hua; Yujin Huang; Shuo Huang; Tao Feng 013; Lizhen Qu; Christopher Bain; Richard Bassed; Reza Haf (EMNLP (Findings), 2024)

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues. - Yuncheng Hua; Lizhen Qu; Reza Haf (EMNLP (Findings), 2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Reza Haf (EMNLP, 2024)

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Reza Haf (EMNLP, 2024)

Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. - Manh Luong; Khai Nguyen; Nhat Ho; Gholamreza Haffari; Dinh Phung 001; Lizhen Qu (ICLR, 2024)

Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis. - Xianbing Zhao; Lizhen Qu; Tao Feng 013; Jianfei Cai 001; Buzhou Tang (ACM Multimedia, 2024)

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. - Haolan Zhan; Zhuang Li 001; Xiaoxi Kang; Tao Feng 013; Yuncheng Hua; Lizhen Qu; Yi Ying; Mei Rianto Chandra; Kelly Rosalin; Jureynolds Jureynolds; Suraj Sharma; Shilin Qu; et al. (NAACL-HLT (Findings), 2024)

Adapting Large Language Models for Document-Level Machine Translation. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; George F. Foster; Gholamreza Haffari (CoRR, 2024)

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations. - Yuncheng Hua; Zhuang Li 001; Linhao Luo; Kadek Ananta Satriadi; Tao Feng 013; Haolan Zhan; Lizhen Qu; Suraj Sharma; Ingrid Zukerman; Zhaleh Semnani-Azad; Gholamreza Haffari (CoRR, 2024)

Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues. - Yuncheng Hua; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning. - Zhuo Zhang 007; Jingyuan Zhang; Jintao Huang; Lizhen Qu; Hongzhi Zhang; Zenglin Xu (CoRR, 2024)

What Can Natural Language Processing Do for Peer Review? - Ilia Kuznetsov; Osama Mohammed Afzal; Koen Dercksen; Nils Dycke; Alexander Goldberg; Tom Hope; Dirk Hovy; Jonathan K. Kummerfeld; Anne Lauscher; Kevin Leyton-Brown; Sheng Lu; Mausam; et al. (CoRR, 2024)

NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. - Shuo Huang; William MacLean; Xiaoxi Kang; Anqi Wu; Lizhen Qu; Qiongkai Xu; Zhuang Li 001; Xingliang Yuan; Gholamreza Haffari (CoRR, 2024)

Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking. - Zhuang Li 001; Yuncheng Hua; Thuy-Trang Vu; Haolan Zhan; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology. - Xiaoxi Kang; Lizhen Qu; Lay-Ki Soon; Zhuang Li 001; Adnan Trakic (CoRR, 2024)

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction. - Yuncheng Hua; Yujin Huang; Shuo Huang; Tao Feng 013; Lizhen Qu; Chris Bain; Richard Bassed; Gholamreza Haffari (CoRR, 2024)

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? - Tao Feng 013; Lizhen Qu; Niket Tandon; Zhuang Li 001; Xiaoxi Kang; Gholamreza Haffari (CoRR, 2024)

NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions. - Zhixi Cai; Cristian Rojas Cardenas; Kevin Leo; Chenyuan Zhang; Kal Backman; Hanbing Li; Boying Li; Mahsa Ghorbanali; Stavya Datta; Lizhen Qu; Julian Gutierrez Santiago; Alexey Ignatiev; et al. (CoRR, 2024)

Can we only use guideline instead of shot in prompt? - Jiaxiang Chen; Song Wang; Zhucong Li; Wayne Xiong; Lizhen Qu; Zenglin Xu; Yuan Qi 001 (CoRR, 2024)

Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues. - Shilin Qu; Weiqing Wang 001; Xin Zhou 023; Haolan Zhan; Zhuang Li 001; Lizhen Qu; Linhao Luo; Yuan-Fang Li; Gholamreza Haffari (CoRR, 2024)

Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph. - Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari (CoRR, 2024)

SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models. - Zhuang Li 001; Yuncheng Hua; Thuy-Trang Vu; Haolan Zhan; Lizhen Qu; Gholamreza Haffari (ACL (1), 2025)

On the Reliability of Large Language Models for Causal Discovery. - Tao Feng 013; Lizhen Qu; Niket Tandon; Zhuang Li 001; Xiaoxi Kang; Gholamreza Haffari (ACL (1), 2025)

IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data. - Tao Feng 013; Lizhen Qu; Niket Tandon; Gholamreza Haffari (ACL (1), 2025)

SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media. - Viet Thanh Pham; Lizhen Qu; Zhuang Li 001; Suraj Sharma; Gholamreza Haffari (ACL (1), 2025)

LazyReview: A Dataset for Uncovering Lazy Thinking in NLP Peer Reviews. - Sukannya Purkayastha; Zhuang Li 001; Anne Lauscher; Lizhen Qu; Iryna Gurevych (ACL (1), 2025)

CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems. - Tao Feng 013; Lizhen Qu; Xiaoxi Kang; Gholamreza Haffari (COLING, 2025)

CultureInstruct: Curating Multi-Cultural Instructions at Scale. - Viet Thanh Pham; Zhuang Li 001; Lizhen Qu; Gholamreza Haffari (NAACL (Long Papers), 2025)

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning. - Vy Vo; Lizhen Qu; Tao Feng 013; Yuncheng Hua; Xiaoxi Kang; Songhai Fan; Tim Dwyer; Lay-Ki Soon; Gholamreza Haffari (NAACL (Long Papers), 2025)

Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (NAACL (Long Papers), 2025)

From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. - Zhuo Zhang 007; Yukun Zhang; Guanzhong Chen; Lizhen Qu; Xun Zhou 001; Hui Wang 013; Zenglin Xu (Neurocomputing, 2025)

When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech. - Samuel Reinders; Matthew Butler 002; Ingrid Zukerman; Bongshin Lee; Lizhen Qu; Kim Marriott (IEEE Trans. Vis. Comput. Graph., 2025)

Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning. - Manh Luong; Khai Nguyen; Dinh Q. Phung; Gholamreza Haffari; Lizhen Qu (CoRR, 2025)

RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars. - Yuncheng Hua; Lizhen Qu; Zhuang Li 001; Hao Xue 001; Flora D. Salim; Gholamreza Haffari (CoRR, 2025)

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2025)

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models. - Yingqi Hu; Zhuo Zhang 007; Jingyuan Zhang; Lizhen Qu; Zenglin Xu (CoRR, 2025)

DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement. - Shaoqing Lin; Chong Teng; Fei Li 021; Donghong Ji; Lizhen Qu; Zhuang Li 001 (CoRR, 2025)

Accessible Data Access and Analysis by People who are Blind or Have Low Vision. - Samuel Reinders; Munazza Zaib; Matthew Butler 002; Bongshin Lee; Ingrid Zukerman; Lizhen Qu; Kim Marriott (CoRR, 2025)

Physics-Grounded Motion Forecasting via Equation Discovery for Trajectory-Guided Image-to-Video Generation. - Tao Feng 013; Xianbing Zhao; Zhenhua Chen; Tien Tsin Wong; Hamid Rezatofighi; Gholamreza Haffari; Lizhen Qu (CoRR, 2025)

NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions. - Zhixi Cai; Cristian Rojas Cardenas; Kevin Leo; Chenyuan Zhang; Kal Backman; Hanbing Li; Boying Li; Mahsa Ghorbanali; Stavya Datta; Lizhen Qu; Julian Gutierrez 001; Alexey Ignatiev; et al. (IEEE Robotics Autom. Lett., 2025)