| 2026 | AAAI | Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning. | Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao |
| 2026 | AAAI | Safe Multi-agent Reinforcement Learning with Natural Language Constraints. | Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du |
| 2026 | AAAI | Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. | Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang |
| 2026 | AAAI | Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models. | Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy |
| 2026 | ACL | FactSearch: An Interactive Agentic Fact Search System for Verifying Large Language Model Outputs. | Meng Fang, Harry Mackenzie |
| 2026 | ACL | mPresenter: An Agentic Framework for Generating Multilingual Presentation Videos from Scientific Papers. | Wenhan Han, Xiao Xiao, Mykola Pechenizkiy, Meng Fang |
| 2026 | ACL | MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages. | Wenhan Han, Yifan Zhang, Zhixun Chen, Binbin Liu, Mykola Pechenizkiy, Meng Fang, Yin Zheng |
| 2026 | ACL | Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces. | Zijing Shi, Meng Fang, Ling Chen |
| 2026 | ACL | Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset. | Baode Wang, Biao Wu, Weizhen Li, Meng Fang, Zuming Huang, Jun Huang, Yanjie Liang, Haozhe Wang, Ling Chen, Wei Chu, Yuan Qi |
| 2026 | ACL | DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models. | Biao Wu, Yiwu Zhong, Meng Fang, Ling Chen |
| 2026 | EACL | VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery. | Jinchao Ge, Tengfei Cheng, Biao Wu, Zeyu Zhang, Shiya Huang, Judith Bishop, Gillian Shepherd, Meng Fang, Ling Chen, Yang Zhao |
| 2026 | EACL | MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia. | Xiao Xiao, Iftitahu Ni'mah, Yuyun Wabula, Mykola Pechenizkiy, Meng Fang |
| 2025 | ACL | Understanding Large Language Model Vulnerabilities to Social Bias Attacks. | Jiaxu Zhao, Meng Fang, Fanghua Ye, Ke Xu, Qin Zhang, Joey Tianyi Zhou, Mykola Pechenizkiy |
| 2025 | ACL | Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models. | Jiaxu Zhao, Meng Fang, Kun Zhang, Mykola Pechenizkiy |
| 2025 | ACL | ATLAS: Agent Tuning via Learning Critical Steps. | Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou |
| 2025 | ACL | Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. | Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao |
| 2025 | ACL | Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models. | Wanqi Yang, Yanda Li, Meng Fang, Yunchao Wei, Ling Chen |
| 2025 | ACL | SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding. | Shunfeng Zheng, Meng Fang, Ling Chen |
| 2025 | EMNLP | PresentAgent: Multimodal Agent for Presentation Video Generation. | Jingwei Shi, Zeyu Zhang, Biao Wu, Yanjie Liang, Meng Fang, Ling Chen, Yang Zhao |
| 2025 | EMNLP | Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving. | Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen |
| 2025 | EMNLP | Spiral of Silence in Large Language Model Agents. | Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang |
| 2025 | ICLR | RuAG: Learned-rule-augmented Generation for Large Language Models. | Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. | Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao |
| 2025 | ICLR | Monte Carlo Planning with Large Language Model for Text-Based Game Agents. | Zijing Shi, Meng Fang, Ling Chen |
| 2025 | ICLR | HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents. | Tristan Tomilin, Meng Fang, Mykola Pechenizkiy |
| 2025 | ICLR | Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling. | Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han |
| 2025 | ICML | Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization. | Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang |
| 2025 | NAACL | Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies. | Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen |
| 2025 | NAACL | MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents. | Wanqi Yang, Yanda Li, Meng Fang, Ling Chen |
| 2025 | PRICAI | Bridging Confidence and Competence: Evaluating Self-assessment Alignment in LLM Mathematical Reasoning. | Mingze Zhong, Zijing Shi, Ziyan Wang, Runze Liu, Meng Fang, Ling Chen |
| 2024 | AAAI | Large Language Models Are Neurosymbolic Reasoners. | Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang |
| 2024 | AAAI | Human-Guided Moral Decision Making in Text-Based Games. | Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang |
| 2024 | AAAI | Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. | Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan |
| 2024 | ACL | More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. | Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy |
| 2024 | ACL | RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering. | Zihan Zhang, Meng Fang, Ling Chen |
| 2024 | BMVC | Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion. | Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao |
| 2024 | EMNLP | LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. | Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin |
| 2024 | EMNLP | MedINST: Meta Dataset of Biomedical Instructions. | Wenhan Han, Meng Fang, Zihan Zhang, Yu Yin, Zirui Song, Ling Chen, Mykola Pechenizkiy, Qingyu Chen |
| 2024 | EMNLP | Revisiting Catastrophic Forgetting in Large Language Model Tuning. | Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao |
| 2024 | EMNLP | Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering. | Wanqi Yang, Yanda Li, Meng Fang, Ling Chen |
| 2024 | EMNLP | CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models. | Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang |
| 2024 | ICASSP | Unsupervised Multiple Choices Question Answering Via Universal Corpus. | Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang |
| 2024 | ICLR | Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. | Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi |
| 2024 | ICLR | Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. | Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang |
| 2023 | AAAI | Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. | Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | ACL | NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. | Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | ACL | A Survey for Efficient Open Domain Question Answering. | Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang |
| 2023 | ACL | CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. | Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy |
| 2023 | CoNLL | A Minimal Approach for Natural Language Action Space in Text-based Games. | Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi |
| 2023 | EACL | Self-imitation Learning for Action Generation in Text-based Games. | Zijing Shi, Yunqiu Xu, Meng Fang, Ling Chen |
| 2023 | EMNLP | Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. | Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz |
| 2023 | EMNLP | Turn-Level Active Learning for Dialogue State Tracking. | Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad |
| 2023 | EMNLP | CITB: A Benchmark for Continual Instruction Tuning. | Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad |
| 2023 | EMNLP | How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. | Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang |
| 2023 | ICLR | Stay Moral and Explore: Learn to Behave Morally in Text-based Games. | Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du |
| 2023 | ICML | Are Large Kernels Better Teachers than Transformers for ConvNets? | Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu |
| 2022 | ACL | A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. | Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao |
| 2022 | ACL | Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games. | Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Gholamreza Haffari |
| 2022 | ACL | Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. | Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang |
| 2022 | EMNLP | TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. | Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao |
| 2022 | ICLR | Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. | Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang |
| 2022 | NAACL | Phrase-level Textual Adversarial Attack with Label Preservation. | Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy |
| 2022 | NAACL | Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. | Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad |
| 2022 | UAI | Superposing many tickets into one: A performance booster for sparse neural network training. | Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy |
| 2021 | AAAI | REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. | Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang |
| 2021 | EMNLP | ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. | Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy |
| 2021 | EMNLP | Generalization in Text-based Games via Hierarchical Reinforcement Learning. | Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang |
| 2021 | ICASSP | Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. | Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang |
| 2021 | NAACL | DAGN: Discourse-Aware Graph Network for Logical Reasoning. | Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang |
| 2020 | AAAI | Unsupervised Domain Adaptation on Reading Comprehension. | Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou |
| 2020 | EMNLP | Pretrained Language Models for Dialogue Generation with Multiple Input Sources. | Yu Cao, Wei Bi, Meng Fang, Dacheng Tao |
| 2019 | AAAI | Inter-Class Angular Loss for Convolutional Neural Networks. | Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang |
| 2019 | ACL | Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. | Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok |
| 2019 | ICLR | DHER: Hindsight Experience Replay for Dynamic Goals. | Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang |
| 2019 | NAACL | BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. | Yu Cao, Meng Fang, Dacheng Tao |
| 2018 | CCS | Towards Query Efficient Black-box Attacks: An Input-free Perspective. | Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao |
| 2018 | IJCAI | Teaching Semi-Supervised Classifier via Generalized Distillation. | Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang |
| 2017 | ACL | Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. | Meng Fang, Trevor Cohn |
| 2017 | EMNLP | Learning how to Active Learn: A Deep Reinforcement Learning Approach. | Meng Fang, Yuan Li, Trevor Cohn |
| 2016 | AAAI | Linear Submodular Bandits with a Knapsack Constraint. | Baosheng Yu, Meng Fang, Dacheng Tao |
| 2016 | AAAI | Submodular Asymmetric Feature Selection in Cascade Object Detection. | Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin |
| 2016 | CoNLL | Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. | Meng Fang, Trevor Cohn |
| 2016 | ECCV | Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling. | Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao |
| 2016 | ICDE | TrGraph: Cross-network transfer learning via common signature subgraphs. | Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang |
| 2016 | ICOST | Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors. | Jie Yin, Meng Fang, Ghassem Mokhtari, Qing Zhang |
| 2016 | IJCAI | Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering. | Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan |
| 2015 | CVPR | Saliency propagation from simple to difficult. | Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang |
| 2015 | SDM | Active Multi-task Learning via Bandits. | Meng Fang, Dacheng Tao |
| 2014 | AAAI | Active Learning for Crowdsourcing Using Knowledge Transfer. | Meng Fang, Jie Yin, Dacheng Tao |
| 2014 | KDD | Networked bandits with disjoint linear payoffs. | Meng Fang, Dacheng Tao |
| 2013 | CIKM | Active exploration: simultaneous sampling and labeling for large graphs. | Meng Fang, Jie Yin, Xingquan Zhu |
| 2013 | ICDM | Transfer Learning across Networks for Collective Classification. | Meng Fang, Jie Yin, Xingquan Zhu |
| 2013 | SDM | Active Class Discovery and Learning for Networked Data. | Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu |
| 2012 | AAAI | Active Learning from Oracle with Knowledge Blind Spot. | Meng Fang, Xingquan Zhu, Chengqi Zhang |
| 2012 | ICDM | Self-Taught Active Learning from Crowds. | Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu |
| 2012 | ICPR | I don't know the label: Active learning with blind knowledge. | Meng Fang, Xingquan Zhu |
| 2012 | ICPR | Top-k correlated subgraph query for data streams. | Shirui Pan, Xingquan Zhu, Meng Fang |
| 2010 | ADMA | Spatial Neighborhood Clustering Based on Data Field. | Meng Fang, Shuliang Wang, Hong Jin |
| 2003 | SEKE | Real-Time Mining of Partial Periodic Patterns. | Chih Lai, Lawrence Stephanie, Meng Fang |