Meng Fang

282 papers A* 47A 11B 5C 6Misc 2Journal 158Unranked 52
YearRankTypeTitle / Venue / Authors
2026 A* conf
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning.
AAAI
Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao
2026 A* conf
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models.
AAAI
Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy
2026 — conf
MATH-IDN: A Multilingual Mathematical Problem Solving Dataset Featuring Local Languages in Indonesia.
EACL (Findings)
Xiao Xiao, Iftitahu Ni'mah, Yuyun Wabula, Mykola Pechenizkiy, Meng Fang
2026 J jnl
One Model for All: Multi-Objective Controllable Language Models.
Trans. Mach. Learn. Res.
Qiang He, Yucheng Yang, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy, Setareh Maghsudi
2026 J jnl
PaperVoyager : Building Interactive Web with Visual Language Models.
CoRR
Dasen Dai, Biao Wu, Meng Fang, Wenhao Wang
2026 J jnl
Quantifying and mitigating the spiral of silence in recommender systems: A modular probabilistic framework.
Knowl. Based Syst.
Mingze Zhong, Hong Xie, Meng Fang, Zijing Shi, Ling Chen
2026 A* conf
Safe Multi-agent Reinforcement Learning with Natural Language Constraints.
AAAI
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2026 — conf
VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery.
EACL (Findings)
Jinchao Ge, Tengfei Cheng, Biao Wu, Zeyu Zhang, Shiya Huang, Judith Bishop, Gillian Shepherd, Meng Fang, Ling Chen, Yang Zhao
2026 A* conf
Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach.
AAAI
Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2026 J jnl
Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach.
CoRR
Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2025 J jnl
A simple contrastive embedding framework for low-resource fake news detection.
Neural Comput. Appl.
Iftitahu Ni'mah, Rini Wijayanti, Agung Santosa, Asril Jarin, Tri Sampurno, Mohammad Teduh Uliniansyah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2025 J jnl
A unified multi-subgraph pre-training framework for spatio-temporal graph.
Knowl. Based Syst.
Mingze Zhong, Zexuan Long, Xinglei Wang, Tao Cheng, Meng Fang, Ling Chen
2025 — conf
ATLAS: Agent Tuning via Learning Critical Steps.
ACL (Findings)
Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou
2025 J jnl
ATLaS: Agent Tuning via Learning Critical Steps.
CoRR
Zhixun Chen, Ming Li, Yuxuan Huang, Yali Du, Meng Fang, Tianyi Zhou
2025 J jnl
Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning.
CoRR
Yang Li, Zhiyuan He, Yuxuan Huang, Zhuhanling Xiao, Chao Yu, Meng Fang, Kun Shao, Jun Wang
2025 A conf
Adaptive Mobile Agent for Dynamic Interactions.
ICME
Yanda Li, Chi Zhang, Wenjia Jiang, Wanqi Yang, Bin Fu, Pei Cheng, Xin Chen, Meng Fang, Ling Chen, Yunchao Wei
2025 J jnl
Agentic Web: Weaving the Next Web with AI Agents.
CoRR
Yingxuan Yang, Mulei Ma, Yuxuan Huang, Huacan Chai, Chenyu Gong, Haoran Geng, Yuanjian Zhou, Ying Wen, Meng Fang, Muhao Chen, Shangding Gu, Ming Jin, Costas J. Spanos, Yang Yang, Pieter Abbeel, Dawn Song, Weinan Zhang, Jun Wang
2025 J jnl
Automotive-ENV: Benchmarking Multimodal Agents in Vehicle Interface Systems.
CoRR
Junfeng Yan, Biao Wu, Meng Fang, Ling Chen
2025 — conf
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving.
EMNLP (Findings)
Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen
2025 J jnl
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving.
CoRR
Shunfeng Zheng, Yudi Zhang, Meng Fang, Zihan Zhang, Zhitan Wu, Mykola Pechenizkiy, Ling Chen
2025 J jnl
Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion.
Neurocomputing
Jun Gao, Junlin Cui, Huijia Wu, Liuyu Xiang, Han Zhao, Xiangang Li, Meng Fang, Yaodong Yang, Zhaofeng He
2025 J jnl
Deep Research Agents: A Systematic Examination And Roadmap.
CoRR
Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
2025 J jnl
Distill Not Only Data but Also Rewards: Can Smaller Language Models Surpass Larger Ones?
CoRR
Yudi Zhang, Lu Wang, Meng Fang, Yali Du, Chenghua Huang, Jun Wang, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
2025 J jnl
Effect of the accompanying motion of combine harvester on soil compaction.
Comput. Electron. Agric.
Meng Fang, Zhong Tang, Zhao Ding, Yaquan Liang, Sifan Liu
2025 — conf
Empirical Study of Social Bias in Medical Question Answering via Large Language Models.
AIiH (1)
Xiao Xiao, Jiaxu Zhao, Terry R. Payne, Meng Fang
2025 — conf
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding.
ACL (2)
Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025 J jnl
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding.
CoRR
Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025 J jnl
Enhancing long-form question answering via reflection with question decomposition.
Inf. Process. Manag.
Junjie Xiao, Wei Wu, Jiaxu Zhao, Meng Fang, Jianxin Wang
2025 J jnl
FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification.
Neurocomputing
Jiaxu Zhao, Tianjin Huang, Shiwei Liu, Jie Yin, Yulong Pei, Meng Fang, Mykola Pechenizkiy
2025 J jnl
Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework.
CoRR
Zirui Song, Jingpu Yang, Yuan Huang, Jonathan Tonglet, Zeyu Zhang, Tao Cheng, Meng Fang, Iryna Gurevych, Xiuying Chen
2025 A* conf
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents.
ICLR
Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
2025 J jnl
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents.
CoRR
Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
2025 — conf
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies.
NAACL (Long Papers)
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 A conf
Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models.
AAMAS
Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du
2025 J jnl
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing.
CoRR
Baode Wang, Biao Wu, Weizhen Li, Meng Fang, Yanjie Liang, Zuming Huang, Haozhe Wang, Jun Huang, Ling Chen, Wei Chu, Yuan Qi
2025 A conf
Integrating Large Language Models with Reinforcement Learning for Generalization in Strategic Card Games.
AAMAS
Wannian Xia, Meng Fang, Zihao Guo, Yali Du, Bo Xu
2025 J jnl
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment.
Trans. Mach. Learn. Res.
Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang
2025 J jnl
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning.
CoRR
Tristan Tomilin, Luka van den Boogaard, Samuel Garcin, Bram Grooten, Meng Fang, Mykola Pechenizkiy
2025 — conf
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents.
NAACL (Findings)
Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2025 J jnl
MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents.
CoRR
Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2025 J jnl
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation.
CoRR
Hongye Cao, Fan Feng, Jing Huo, Shangdong Yang, Meng Fang, Tianpei Yang, Yang Gao
2025 A* conf
Monte Carlo Planning with Large Language Model for Text-Based Game Agents.
ICLR
Zijing Shi, Meng Fang, Ling Chen
2025 J jnl
Monte Carlo Planning with Large Language Model for Text-Based Game Agents.
CoRR
Zijing Shi, Meng Fang, Ling Chen
2025 J jnl
MuBench: Assessment of Multilingual Capabilities of Large Language Models Across 61 Languages.
CoRR
Wenhan Han, Yifan Zhang, Zhixun Chen, Binbin Li, Haobin Lin, Bingni Zhang, Taifeng Wang, Mykola Pechenizkiy, Meng Fang, Yin Zheng
2025 J jnl
MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining.
CoRR
Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, Binbin Li, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Meng Fang
2025 J jnl
NeMo: Needle in a Montage for Video-Language Understanding.
CoRR
Zi-Yuan Hu, Shuo Liang, Duo Zheng, Yanyang Li, Yeyao Tao, Shijia Huang, Wei Feng, Jia Qin, Jianguang Yu, Jing Huang, Meng Fang, Yin Li, Liwei Wang
2025 C conf
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments.
CoG
Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang
2025 J jnl
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments.
CoRR
Olivier Schipper, Yudi Zhang, Yali Du, Mykola Pechenizkiy, Meng Fang
2025 A* conf
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization.
ICML
Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang
2025 — conf
PresentAgent: Multimodal Agent for Presentation Video Generation.
EMNLP (System Demonstrations)
Jingwei Shi, Zeyu Zhang, Biao Wu, Yanjie Liang, Meng Fang, Ling Chen, Yang Zhao
2025 J jnl
PresentAgent: Multimodal Agent for Presentation Video Generation.
CoRR
Jingwei Shi, Zeyu Zhang, Biao Wu, Yanjie Liang, Meng Fang, Ling Chen, Yang Zhao
2025 J jnl
Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt.
CoRR
Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Dacheng Tao
2025 A* conf
RuAG: Learned-rule-augmented Generation for Large Language Models.
ICLR
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 J jnl
SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks.
CoRR
Hongye Cao, Yanming Wang, Sijia Jing, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, Boyan Wang, Jiaheng Liu, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng
2025 J jnl
Self Data Augmentation for Open Domain Question Answering.
ACM Trans. Inf. Syst.
Qin Zhang, Mengqi Zheng, Shangsi Chen, Han Liu, Meng Fang
2025 — conf
SpatialWebAgent: Leveraging Large Language Models for Automated Spatial Information Extraction and Map Grounding.
ACL (3)
Shunfeng Zheng, Meng Fang, Ling Chen
2025 J jnl
SpeechR: A Benchmark for Speech Reasoning in Large Audio-Language Models.
CoRR
Wanqi Yang, Yanda Li, Yunchao Wei, Meng Fang, Ling Chen
2025 — conf
Spiral of Silence in Large Language Model Agents.
EMNLP (Findings)
Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025 J jnl
Spiral of Silence in Large Language Model Agents.
CoRR
Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang
2025 A* conf
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling.
ICLR
Jiawei Xu, Rui Yang, Shuang Qiu, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han
2025 J jnl
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning.
CoRR
Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2025 J jnl
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL.
CoRR
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2025 A* conf
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning.
ICLR
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2025 — conf
Understanding Large Language Model Vulnerabilities to Social Bias Attacks.
ACL (1)
Jiaxu Zhao, Meng Fang, Fanghua Ye, Ke Xu, Qin Zhang, Joey Tianyi Zhou, Mykola Pechenizkiy
2025 J jnl
UniVid: The Open-Source Unified Video Model.
CoRR
Jiabin Luo, Junhui Lin, Zeyu Zhang, Biao Wu, Meng Fang, Ling Chen, Hao Tang
2025 — conf
Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models.
ACL (1)
Jiaxu Zhao, Meng Fang, Kun Zhang, Mykola Pechenizkiy
2025 J jnl
VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery.
CoRR
Jinchao Ge, Tengfei Cheng, Biao Wu, Zeyu Zhang, Shiya Huang, Judith Bishop, Gillian Shepherd, Meng Fang, Ling Chen, Yang Zhao
2025 J jnl
WebArXiv: Evaluating Multimodal Agents on Time-Invariant arXiv Tasks.
CoRR
Zihao Sun, Meng Fang, Ling Chen
2025 J jnl
What If London Bridge Is Closed? Feature-Aware Subgraph Augmentation for Modeling Road Network Structure Changes.
IEEE Trans. Intell. Transp. Syst.
Tao Cheng, Mustafa Can Ozkan, Meng Fang, Xianghui Zhang
2025 — conf
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models.
ACL (Findings)
Wanqi Yang, Yanda Li, Meng Fang, Yunchao Wei, Ling Chen
2024 J jnl
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork.
CoRR
Tianjin Huang, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Shiwei Liu, Tianlong Chen
2024 A* conf
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.
ICLR
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2024 J jnl
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.
CoRR
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2024 J jnl
Application of machine learning model optimized by improved sparrow search algorithm in water quality index time series prediction.
Multim. Tools Appl.
Yankun Hu, Li Lyu, Ning Wang, Xiaolei Zhou, Meng Fang
2024 J jnl
Artificial Intelligence-Based Precipitation Estimation Method Using Fengyun-4B Satellite Data.
Remote. Sens.
Nianqing Liu, Jianying Jiang, Dongyan Mao, Meng Fang, Yun Li, Bowei Han, Suling Ren
2024 J jnl
Augmenting Biomedical Named Entity Recognition with General-domain Resources.
CoRR
Yu Yin, Hyunjae Kim, Xiao Xiao, Chih-Hsuan Wei, Jaewoo Kang, Zhiyong Lu, Hua Xu, Meng Fang, Qingyu Chen
2024 J jnl
Augmenting biomedical named entity recognition with general-domain resources.
J. Biomed. Informatics
Yu Yin, Hyunjae Kim, Xiao Xiao, Chih-Hsuan Wei, Jaewoo Kang, Zhiyong Lu, Hua Xu, Meng Fang, Qingyu Chen
2024 A conf
Automatic Curriculum for Unsupervised Reinforcement Learning.
AAMAS
Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy
2024 — conf
CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models.
EMNLP (Findings)
Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang
2024 J jnl
Dynamic Truck-UAV Collaboration and Integrated Route Planning for Resilient Urban Emergency Response.
IEEE Trans. Engineering Management
Yuying Long, Gangyan Xu, Jinqiu Zhao, Binglei Xie, Meng Fang
2024 — conf
Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering.
EMNLP (Findings)
Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2024 J jnl
Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering.
CoRR
Wanqi Yang, Yanda Li, Meng Fang, Ling Chen
2024 J jnl
Foundations and Recent Trends in Multimodal Mobile Agents: A Survey.
CoRR
Biao Wu, Yanda Li, Meng Fang, Zirui Song, Zhiwei Zhang, Yunchao Wei, Ling Chen
2024 J jnl
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models.
Trans. Mach. Learn. Res.
Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana
2024 J jnl
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies.
CoRR
Zirui Song, Guangxian Ouyang, Meng Fang, Hongbin Na, Zijing Shi, Zhenhao Chen, Yujie Fu, Zeyu Zhang, Shiyu Jiang, Miao Fang, Ling Chen, Xiuying Chen
2024 A* conf
Human-Guided Moral Decision Making in Text-Based Games.
AAAI
Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang
2024 A* conf
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
EMNLP
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 J jnl
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, 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 A* conf
Large Language Models Are Neurosymbolic Reasoners.
AAAI
Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024 J jnl
Large Language Models Are Neurosymbolic Reasoners.
CoRR
Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang
2024 A* conf
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf.
NeurIPS
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
2024 J jnl
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf.
CoRR
Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
2024 J jnl
MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot.
CoRR
Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, Yuan Huang, Ling Chen
2024 A conf
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
AAMAS
Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2024 J jnl
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data.
CoRR
Meng Fang, Xiangpeng Wan, Fei Lu, Fei Xing, Kai Zou
2024 — conf
MedINST: Meta Dataset of Biomedical Instructions.
EMNLP (Findings)
Wenhan Han, Meng Fang, Zihan Zhang, Yu Yin, Zirui Song, Ling Chen, Mykola Pechenizkiy, Qingyu Chen
2024 J jnl
MedINST: Meta Dataset of Biomedical Instructions.
CoRR
Wenhan Han, Meng Fang, Zihan Zhang, Yu Yin, Zirui Song, Ling Chen, Mykola Pechenizkiy, Qingyu Chen
2024 J jnl
MolSHAP: Interpreting Quantitative Structure-Activity Relationships Using Shapley Values of R-Groups.
J. Chem. Inf. Model.
Tingzhong Tian, Shuya Li, Meng Fang, Dan Zhao, Jianyang Zeng
2024 — conf
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation.
ACL (Findings)
Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy
2024 A conf
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion.
BMVC
Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao
2024 J jnl
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion.
CoRR
Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao
2024 J jnl
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.
CoRR
Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang
2024 J jnl
PepGB: Facilitating peptide drug discovery via graph neural networks.
CoRR
Yipin Lei, Xu Wang, Meng Fang, Han Li, Xiang Li, Jianyang Zeng
2024 A* conf
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting.
NeurIPS
Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang
2024 A* conf
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.
AAAI
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
2024 — conf
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering.
ACL (Findings)
Zihan Zhang, Meng Fang, Ling Chen
2024 J jnl
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering.
CoRR
Zihan Zhang, Meng Fang, Ling Chen
2024 — conf
Revisiting Catastrophic Forgetting in Large Language Model Tuning.
EMNLP (Findings)
Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao
2024 J jnl
Revisiting Catastrophic Forgetting in Large Language Model Tuning.
CoRR
Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao
2024 J jnl
Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling.
CoRR
Jiawei Xu, Rui Yang, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han
2024 J jnl
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving.
CoRR
Sihao Wu, Jiaxu Liu, Xiangyu Yin, Guangliang Cheng, Xingyu Zhao, Meng Fang, Xinping Yi, Xiaowei Huang
2024 J jnl
RuAG: Learned-rule-augmented Generation for Large Language Models.
CoRR
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
2024 J jnl
Safe Multi-agent Reinforcement Learning with Natural Language Constraints.
CoRR
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2024 J jnl
Synergizing Foundation Models and Federated Learning: A Survey.
CoRR
Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. H. Ngai, Thiemo Voigt
2024 A* conf
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning.
ICLR
Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang
2024 J jnl
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming.
CoRR
Jiaxu Liu, Xiangyu Yin, Sihao Wu, Jianhong Wang, Meng Fang, Xinping Yi, Xiaowei Huang
2024 Misc conf
Unsupervised Multiple Choices Question Answering Via Universal Corpus.
ICASSP
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
2024 J jnl
Unsupervised multiple choices question answering via universal corpus.
CoRR
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
2024 J jnl
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Language Models.
CoRR
Wanqi Yang, Yanda Li, Meng Fang, Yunchao Wei, Tianyi Zhou, Ling Chen
2023 B conf
A Minimal Approach for Natural Language Action Space in Text-based Games.
CoNLL
Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi
2023 J jnl
A Minimal Approach for Natural Language Action Space in Text-based Games.
CoRR
Dongwon Kelvin Ryu, Meng Fang, Shirui Pan, Gholamreza Haffari, Ehsan Shareghi
2023 — conf
A Survey for Efficient Open Domain Question Answering.
ACL (1)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
2023 A* conf
Are Large Kernels Better Teachers than Transformers for ConvNets?
ICML
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023 J jnl
Are Large Kernels Better Teachers than Transformers for ConvNets?
CoRR
Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
2023 — conf
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
ACL (1)
Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023 J jnl
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
CoRR
Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023 — conf
CITB: A Benchmark for Continual Instruction Tuning.
EMNLP (Findings)
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2023 J jnl
CITB: A Benchmark for Continual Instruction Tuning.
CoRR
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2023 A* conf
COOM: A Game Benchmark for Continual Reinforcement Learning.
NeurIPS
Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy
2023 J jnl
Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game.
CoRR
Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du
2023 J jnl
Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction.
IEEE Trans Autom. Sci. Eng.
Aiyu Zhu, Tianhong Dai, Gangyan Xu, Pieter Pauwels, Bauke de Vries, Meng Fang
2023 J jnl
Discourse-Aware Graph Networks for Textual Logical Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang
2023 B conf
Dual-Modality Co-Learning for Unveiling Deepfake in Spatio-Temporal Space.
ICMR
Jiazhi Guan, Hang Zhou, Zhizhi Guo, Tianshu Hu, Lirui Deng, Chengbin Quan, Meng Fang, Youjian Zhao
2023 J jnl
Dynamic Contrastive Distillation for Image-Text Retrieval.
IEEE Trans. Multim.
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2023 A* conf
Dynamic Sparsity Is Channel-Level Sparsity Learner.
NeurIPS
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
2023 J jnl
Dynamic Sparsity Is Channel-Level Sparsity Learner.
CoRR
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
2023 — conf
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.
ECML/PKDD (4)
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2023 J jnl
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.
CoRR
Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi
2023 — conf
Enhancing Adversarial Training via Reweighting Optimization Trajectory.
ECML/PKDD (1)
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
2023 J jnl
Enhancing Adversarial Training via Reweighting Optimization Trajectory.
CoRR
Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy
2023 — conf
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting.
EMNLP (Findings)
Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz
2023 J jnl
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting.
CoRR
Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz
2023 J jnl
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models.
CoRR
Mianchu Wang, Rui Yang, Xi Chen, Meng Fang
2023 J jnl
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models.
CoRR
Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy
2023 J jnl
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning.
CoRR
Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
2023 A* conf
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances.
EMNLP
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
2023 J jnl
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances.
CoRR
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang
2023 A* conf
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach.
NeurIPS
Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy
2023 J jnl
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.
Inf. Process. Manag.
Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen
2023 A* conf
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost.
AAAI
Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy
2023 J jnl
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment.
CoRR
Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang
2023 J jnl
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
CoRR
Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu
2023 — conf
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.
ACL (1)
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2023 J jnl
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.
CoRR
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2023 J jnl
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration.
IEEE Trans. Neural Networks Learn. Syst.
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao
2023 J jnl
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhihao Cheng, Li Shen, Miaoxi Zhu, Jiaxian Guo, Meng Fang, Liu Liu, Bo Du, Dacheng Tao
2023 — conf
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training.
ECML/PKDD (2)
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
2023 J jnl
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training.
CoRR
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
2023 J jnl
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning.
CoRR
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
2023 A conf
Self-imitation Learning for Action Generation in Text-based Games.
EACL
Zijing Shi, Yunqiu Xu, Meng Fang, Ling Chen
2023 J jnl
Shared dynamics learning for large-scale traveling salesman problem.
Adv. Eng. Informatics
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu, Chengqi Zhang
2023 A* conf
Stay Moral and Explore: Learn to Behave Morally in Text-based Games.
ICLR
Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du
2023 J jnl
Towards Data-centric Graph Machine Learning: Review and Outlook.
CoRR
Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan
2023 A* conf
Turn-Level Active Learning for Dialogue State Tracking.
EMNLP
Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad
2023 J jnl
Turn-Level Active Learning for Dialogue State Tracking.
CoRR
Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad
2023 J jnl
ViMRT: a text-mining tool and search engine for automated virus mutation recognition.
Bioinform.
Yuantao Tong, Fanglin Tan, Honglian Huang, Zeyu Zhang, Hui Zong, Yujia Xie, Danqi Huang, Shiyang Cheng, Ziyi Wei, Meng Fang, M. James C. Crabbe, Ying Wang, Xiaoyan Zhang
2023 J jnl
Where Would I Go Next? Large Language Models as Human Mobility Predictors.
CoRR
Xinglei Wang, Meng Fang, Zichao Zeng, Tao Cheng
2022 J jnl
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation.
CoRR
Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao
2022 — conf
A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation.
ACL (1)
Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao
2022 J jnl
A Survey for Efficient Open Domain Question Answering.
CoRR
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
2022 J jnl
Discourse-Aware Graph Networks for Textual Logical Reasoning.
CoRR
Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang
2022 J jnl
Diversity-augmented intrinsic motivation for deep reinforcement learning.
Neurocomputing
Tianhong Dai, Yali Du, Meng Fang, Anil Anthony Bharath
2022 J jnl
Dynamic Contrastive Distillation for Image-Text Retrieval.
CoRR
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2022 — conf
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games.
ACL (2)
Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Gholamreza Haffari
2022 — conf
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics.
NAACL-HLT
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2022 J jnl
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics.
CoRR
Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad
2022 A* conf
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification.
ACM Multimedia
Zhiyin Shao, Xinyu Zhang, Meng Fang, Zhifeng Lin, Jian Wang, Changxing Ding
2022 J jnl
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification.
CoRR
Zhiyin Shao, Xinyu Zhang, Meng Fang, Zhifeng Lin, Jian Wang, Changxing Ding
2022 C conf
LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.
CoG
Tristan Tomilin, Tianhong Dai, Meng Fang, Mykola Pechenizkiy
2022 J jnl
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost.
CoRR
Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy
2022 — conf
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.
ACL (1)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022 J jnl
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.
CoRR
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2022 — conf
Phrase-level Textual Adversarial Attack with Label Preservation.
NAACL-HLT (Findings)
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
2022 J jnl
Phrase-level Textual Adversarial Attack with Label Preservation.
CoRR
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy
2022 J jnl
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems.
IEEE Trans. Cybern.
Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
2022 A* conf
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
ICLR
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022 J jnl
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL.
CoRR
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022 J jnl
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training.
CoRR
Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu
2022 A conf
Superposing many tickets into one: A performance booster for sparse neural network training.
UAI
Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy
2022 A* conf
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
EMNLP
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
2022 J jnl
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
CoRR
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
2022 — conf
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
LoG
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2022 J jnl
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
CoRR
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2021 — conf
DAGN: Discourse-Aware Graph Network for Logical Reasoning.
NAACL-HLT
Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang
2021 J jnl
DAGN: Discourse-Aware Graph Network for Logical Reasoning.
CoRR
Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang
2021 — conf
Deep Reinforcement Learning for Prefab Assembly Planning in Robot-based Prefabricated Construction.
CASE
Aiyu Zhu, Gangyan Xu, Pieter Pauwels, Bauke de Vries, Meng Fang
2021 — conf
Generalization in Text-based Games via Hierarchical Reinforcement Learning.
EMNLP (Findings)
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021 J jnl
Generalization in Text-based Games via Hierarchical Reinforcement Learning.
CoRR
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
2021 J jnl
Introduction to Big Multimodal Multimedia Data with Deep Analytics.
ACM Trans. Multim. Comput. Commun. Appl.
Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao
2021 J jnl
MHER: Model-based Hindsight Experience Replay.
CoRR
Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li
2021 — conf
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection.
EMNLP (Findings)
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2021 J jnl
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection.
CoRR
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy
2021 A* conf
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.
AAAI
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang
2021 J jnl
Safe Exploration by Solving Early Terminated MDP.
CoRR
Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou
2021 Misc conf
Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation.
ICASSP
Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang
2021 J jnl
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation.
CoRR
Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang
2021 C conf
Use Chou's 5-steps Rule to Study the Mechanism of Uncaria Rhynchophylla for Treating Alzheimer's Disease Based on Network Pharmacology.
BIBE
Meng Fang, Peng Zeng, Jinglou Chen, Han Zhao, Haiping Wang, Jing Guo
2020 J jnl
Big Cross-Modal Social Media Data Analytics With Deep Intelligence.
IEEE Multim.
Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao
2020 A* conf
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.
NeurIPS
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020 J jnl
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.
CoRR
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
2020 C conf
Deep Reinforcement Learning with Transformers for Text Adventure Games.
CoG
Yunqiu Xu, Ling Chen, Meng Fang, Yang Wang, Chengqi Zhang
2020 — conf
Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control.
CASE
Yifan Zhao, Gangyan Xu, Yali Du, Meng Fang
2020 J jnl
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration.
CoRR
Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao
2020 — conf
Pretrained Language Models for Dialogue Generation with Multiple Input Sources.
EMNLP (Findings)
Yu Cao, Wei Bi, Meng Fang, Dacheng Tao
2020 J jnl
Pretrained Language Models for Dialogue Generation with Multiple Input Sources.
CoRR
Yu Cao, Wei Bi, Meng Fang, Dacheng Tao
2020 J jnl
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.
CoRR
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin
2020 J jnl
Revisiting metric learning for few-shot image classification.
Neurocomputing
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
2020 J jnl
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning.
CoRR
Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang
2020 J jnl
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game.
CoRR
Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang
2020 A* conf
Unsupervised Domain Adaptation on Reading Comprehension.
AAAI
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
2020 J jnl
Zeroth-Order Supervised Policy Improvement.
CoRR
Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou
2019 — conf
A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue.
CCL
Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu
2019 J jnl
A Corpus-free State2Seq User Simulator for Task-oriented Dialogue.
CoRR
Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu
2019 J jnl
Arena: a toolkit for Multi-Agent Reinforcement Learning.
CoRR
Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang
2019 — conf
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
NAACL-HLT (1)
Yu Cao, Meng Fang, Dacheng Tao
2019 J jnl
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
CoRR
Yu Cao, Meng Fang, Dacheng Tao
2019 — conf
Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.
SemDeep@IJCAI
Dingmin Wang, Meng Fang, Yan Song, Juntao Li
2019 A* conf
Curriculum-guided Hindsight Experience Replay.
NeurIPS
Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang
2019 — conf
DHER: Hindsight Experience Replay for Dynamic Goals.
ICLR (Poster)
Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang
2019 J jnl
Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst.
Meng Fang, Tianyi Zhou, Jie Yin, Yang Wang, Dacheng Tao
2019 J jnl
Data-driven operational risk analysis in E-Commerce Logistics.
Adv. Eng. Informatics
Gangyan Xu, Xuan Qiu, Meng Fang, Xiaofei Kou, Ying Yu
2019 — conf
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.
ACL (1)
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok
2019 J jnl
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multim.
Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao
2019 A* conf
Inter-Class Angular Loss for Convolutional Neural Networks.
AAAI
Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang
2019 A* conf
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.
NeurIPS
Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao
2019 J jnl
Learning With Annotation of Various Degrees.
IEEE Trans. Neural Networks Learn. Syst.
Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh
2019 — conf
Learning to Solve a Rubik's Cube with a Dexterous Hand.
ROBIO
Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Q.-H. Meng
2019 J jnl
Learning to Solve a Rubik's Cube with a Dexterous Hand.
CoRR
Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Qing-Hu Meng
2019 J jnl
Revisiting Metric Learning for Few-Shot Image Classification.
CoRR
Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng
2019 J jnl
Unsupervised Domain Adaptation on Reading Comprehension.
CoRR
Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou
2018 J jnl
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues.
CoRR
Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler
2018 A* conf
Teaching Semi-Supervised Classifier via Generalized Distillation.
IJCAI
Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang
2018 — conf
Towards Query Efficient Black-box Attacks: An Input-free Perspective.
AISec@CCS
Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2018 J jnl
Towards Query Efficient Black-box Attacks: An Input-free Perspective.
CoRR
Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
2018 J jnl
Transfer Hashing: From Shallow to Deep.
IEEE Trans. Neural Networks Learn. Syst.
Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, Rick Siow Mong Goh
2017 J jnl
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.
IEEE Trans. Cybern.
Meng Fang, Jie Yin, Lawrence O. Hall, Dacheng Tao
2017 — conf
An Improved PHD Filter Based on Dynamic Programming.
GSKI (2)
Meng Fang, Wenguang Wang, Dong Cao, Yan Zuo
2017 A* conf
Learning how to Active Learn: A Deep Reinforcement Learning Approach.
EMNLP
Meng Fang, Yuan Li, Trevor Cohn
2017 J jnl
Learning how to Active Learn: A Deep Reinforcement Learning Approach.
CoRR
Meng Fang, Yuan Li, Trevor Cohn
2017 — conf
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.
ACL (2)
Meng Fang, Trevor Cohn
2017 J jnl
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.
CoRR
Meng Fang, Trevor Cohn
2016 J jnl
Active exploration for large graphs.
Data Min. Knowl. Discov.
Meng Fang, Jie Yin, Xingquan Zhu
2016 A* conf
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.
IJCAI
Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan
2016 J jnl
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering.
CoRR
Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan
2016 B conf
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection.
CoNLL
Meng Fang, Trevor Cohn
2016 J jnl
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection.
CoRR
Meng Fang, Trevor Cohn
2016 A* conf
Linear Submodular Bandits with a Knapsack Constraint.
AAAI
Baosheng Yu, Meng Fang, Dacheng Tao
2016 — conf
Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling.
ECCV (3)
Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao
2016 C conf
Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors.
ICOST
Jie Yin, Meng Fang, Ghassem Mokhtari, Qing Zhang
2016 J jnl
Per-Round Knapsack-Constrained Linear Submodular Bandits.
Neural Comput.
Baosheng Yu, Meng Fang, Dacheng Tao
2016 A* conf
Submodular Asymmetric Feature Selection in Cascade Object Detection.
AAAI
Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin
2016 J jnl
Supervised sampling for networked data.
Signal Process.
Meng Fang, Jie Yin, Xingquan Zhu
2016 A* conf
TrGraph: Cross-network transfer learning via common signature subgraphs.
ICDE
Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2015 A conf
Active Multi-task Learning via Bandits.
SDM
Meng Fang, Dacheng Tao
2015 — —
Bandit learning for sequential decision making: a practical way to address the trade-off between exploration and exploitation
Meng Fang
2015 A* conf
Saliency propagation from simple to difficult.
CVPR
Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang
2015 J jnl
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng.
Meng Fang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2014 A* conf
Active Learning for Crowdsourcing Using Knowledge Transfer.
AAAI
Meng Fang, Jie Yin, Dacheng Tao
2014 J jnl
Active learning with uncertain labeling knowledge.
Pattern Recognit. Lett.
Meng Fang, Xingquan Zhu
2014 A* conf
Networked bandits with disjoint linear payoffs.
KDD
Meng Fang, Dacheng Tao
2014 J jnl
Transfer Learning across Networks for Collective Classification.
CoRR
Meng Fang, Jie Yin, Xingquan Zhu
2013 A conf
Active Class Discovery and Learning for Networked Data.
SDM
Meng Fang, Jie Yin, Chengqi Zhang, Xingquan Zhu
2013 A conf
Active exploration: simultaneous sampling and labeling for large graphs.
CIKM
Meng Fang, Jie Yin, Xingquan Zhu
2013 J jnl
Hierarchical Sampling for Multi-Instance Ensemble Learning.
IEEE Trans. Knowl. Data Eng.
Hanning Yuan, Meng Fang, Xingquan Zhu
2013 — conf
Knowledge Transfer for Multi-labeler Active Learning.
ECML/PKDD (1)
Meng Fang, Jie Yin, Xingquan Zhu
2013 A* conf
Transfer Learning across Networks for Collective Classification.
ICDM
Meng Fang, Jie Yin, Xingquan Zhu
2012 A* conf
Active Learning from Oracle with Knowledge Blind Spot.
AAAI
Meng Fang, Xingquan Zhu, Chengqi Zhang
2012 B conf
I don't know the label: Active learning with blind knowledge.
ICPR
Meng Fang, Xingquan Zhu
2012 A* conf
Self-Taught Active Learning from Crowds.
ICDM
Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu
2012 B conf
Top-k correlated subgraph query for data streams.
ICPR
Shirui Pan, Xingquan Zhu, Meng Fang
2010 — conf
Spatial Neighborhood Clustering Based on Data Field.
ADMA (1)
Meng Fang, Shuliang Wang, Hong Jin
2003 C conf
Real-Time Mining of Partial Periodic Patterns.
SEKE
Chih Lai, Lawrence Stephanie, Meng Fang