Meng Fang

Orcid: 0000-0003-3267-4213

According to our database1, Meng Fang authored at least 139 papers between 2003 and 2024.

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Bibliography

2024
Application of machine learning model optimized by improved sparrow search algorithm in water quality index time series prediction.
Multim. Tools Appl., February, 2024

Dynamic Truck-UAV Collaboration and Integrated Route Planning for Resilient Urban Emergency Response.
IEEE Trans. Engineering Management, 2024

MolSHAP: Interpreting Quantitative Structure-Activity Relationships Using Shapley Values of R-Groups.
J. Chem. Inf. Model., 2024

Safe Multi-agent Reinforcement Learning with Natural Language Constraints.
CoRR, 2024

Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf.
CoRR, 2024

Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming.
CoRR, 2024

Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion.
CoRR, 2024

MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot.
CoRR, 2024

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation.
CoRR, 2024

Unsupervised multiple choices question answering via universal corpus.
CoRR, 2024

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering.
CoRR, 2024

PepGB: Facilitating peptide drug discovery via graph neural networks.
CoRR, 2024

Automatic Curriculum for Unsupervised Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Human-Guided Moral Decision Making in Text-Based Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Large Language Models Are Neurosymbolic Reasoners.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Discourse-Aware Graph Networks for Textual Logical Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction.
IEEE Trans Autom. Sci. Eng., July, 2023

Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.
Inf. Process. Manag., May, 2023

Shared dynamics learning for large-scale traveling salesman problem.
Adv. Eng. Informatics, April, 2023

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

ViMRT: a text-mining tool and search engine for automated virus mutation recognition.
Bioinform., January, 2023

Dynamic Contrastive Distillation for Image-Text Retrieval.
IEEE Trans. Multim., 2023

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game.
CoRR, 2023

ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning.
CoRR, 2023

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models.
CoRR, 2023

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment.
CoRR, 2023

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models.
CoRR, 2023

Towards Data-centric Graph Machine Learning: Review and Outlook.
CoRR, 2023

Where Would I Go Next? Large Language Models as Human Mobility Predictors.
CoRR, 2023

Dynamic Sparsity Is Channel-Level Sparsity Learner.
CoRR, 2023

Are Large Kernels Better Teachers than Transformers for ConvNets?
CoRR, 2023

GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning.
CoRR, 2023

REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Enhancing Adversarial Training via Reweighting Optimization Trajectory.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

COOM: A Game Benchmark for Continual Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Sparsity Is Channel-Level Sparsity Learner.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-Modality Co-Learning for Unveiling Deepfake in Spatio-Temporal Space.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Are Large Kernels Better Teachers than Transformers for ConvNets?
Proceedings of the International Conference on Machine Learning, 2023

Stay Moral and Explore: Learn to Behave Morally in Text-based Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CITB: A Benchmark for Continual Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Turn-Level Active Learning for Dialogue State Tracking.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-imitation Learning for Action Generation in Text-based Games.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

A Minimal Approach for Natural Language Action Space in Text-based Games.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Survey for Efficient Open Domain Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems.
IEEE Trans. Cybern., 2022

Diversity-augmented intrinsic motivation for deep reinforcement learning.
Neurocomputing, 2022

Dynamic Contrastive Distillation for Image-Text Retrieval.
CoRR, 2022

Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training.
CoRR, 2022

Superposing many tickets into one: A performance booster for sparse neural network training.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Phrase-level Textual Adversarial Attack with Label Preservation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning Granularity-Unified Representations for Text-to-Image Person Re-identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
Proceedings of the Learning on Graphs Conference, 2022

Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
Proceedings of the Tenth International Conference on Learning Representations, 2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Introduction to Big Multimodal Multimedia Data with Deep Analytics.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Safe Exploration by Solving Early Terminated MDP.
CoRR, 2021

MHER: Model-based Hindsight Experience Replay.
CoRR, 2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Generalization in Text-based Games via Hierarchical Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Deep Reinforcement Learning for Prefab Assembly Planning in Robot-based Prefabricated Construction.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Use Chou's 5-steps Rule to Study the Mechanism of Uncaria Rhynchophylla for Treating Alzheimer's Disease Based on Network Pharmacology.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Revisiting metric learning for few-shot image classification.
Neurocomputing, 2020

Big Cross-Modal Social Media Data Analytics With Deep Intelligence.
IEEE Multim., 2020

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.
CoRR, 2020

TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game.
CoRR, 2020

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning.
CoRR, 2020

Zeroth-Order Supervised Policy Improvement.
CoRR, 2020

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pretrained Language Models for Dialogue Generation with Multiple Input Sources.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Deep Reinforcement Learning with Transformers for Text Adventure Games.
Proceedings of the IEEE Conference on Games, 2020

Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Unsupervised Domain Adaptation on Reading Comprehension.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning With Annotation of Various Degrees.
IEEE Trans. Neural Networks Learn. Syst., 2019

Data Subset Selection With Imperfect Multiple Labels.
IEEE Trans. Neural Networks Learn. Syst., 2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.
IEEE Trans. Multim., 2019

Arena: a toolkit for Multi-Agent Reinforcement Learning.
CoRR, 2019

Data-driven operational risk analysis in E-Commerce Logistics.
Adv. Eng. Informatics, 2019

Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

Learning to Solve a Rubik's Cube with a Dexterous Hand.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Curriculum-guided Hindsight Experience Replay.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

DHER: Hindsight Experience Replay for Dynamic Goals.
Proceedings of the 7th International Conference on Learning Representations, 2019

A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Inter-Class Angular Loss for Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Transfer Hashing: From Shallow to Deep.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues.
CoRR, 2018

Teaching Semi-Supervised Classifier via Generalized Distillation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective.
Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.
IEEE Trans. Cybern., 2017

An Improved PHD Filter Based on Dynamic Programming.
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Supervised sampling for networked data.
Signal Process., 2016

Per-Round Knapsack-Constrained Linear Submodular Bandits.
Neural Comput., 2016

Active exploration for large graphs.
Data Min. Knowl. Discov., 2016

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors.
Proceedings of the Inclusive Smart Cities and Digital Health, 2016

Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016

Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Submodular Asymmetric Feature Selection in Cascade Object Detection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Linear Submodular Bandits with a Knapsack Constraint.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Bandit learning for sequential decision making: a practical way to address the trade-off between exploration and exploitation
PhD thesis, 2015

TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.
IEEE Trans. Knowl. Data Eng., 2015

Active Multi-task Learning via Bandits.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Saliency propagation from simple to difficult.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Active learning with uncertain labeling knowledge.
Pattern Recognit. Lett., 2014

Networked bandits with disjoint linear payoffs.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Active Learning for Crowdsourcing Using Knowledge Transfer.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Hierarchical Sampling for Multi-Instance Ensemble Learning.
IEEE Trans. Knowl. Data Eng., 2013

Active Class Discovery and Learning for Networked Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Knowledge Transfer for Multi-labeler Active Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Transfer Learning across Networks for Collective Classification.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Active exploration: simultaneous sampling and labeling for large graphs.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Top-k correlated subgraph query for data streams.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

I don't know the label: Active learning with blind knowledge.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Self-Taught Active Learning from Crowds.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Active Learning from Oracle with Knowledge Blind Spot.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
Spatial Neighborhood Clustering Based on Data Field.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2003
Real-Time Mining of Partial Periodic Patterns.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003


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