Meng Fang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Human-Guided Moral Decision Making in Text-Based Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Large Language Models Are Neurosymbolic Reasoners.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Discourse-Aware Graph Networks for Textual Logical Reasoning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., July, 2023

Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.

[BibT_eX]

[DOI]

Inf. Process. Manag., May, 2023

Shared dynamics learning for large-scale traveling salesman problem.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, April, 2023

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

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

[BibT_eX]

[DOI]

Bioinform., January, 2023

Dynamic Contrastive Distillation for Image-Text Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Enhancing Adversarial Training via Reweighting Optimization Trajectory.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

COOM: A Game Benchmark for Continual Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Are Large Kernels Better Teachers than Transformers for ConvNets?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Stay Moral and Explore: Learn to Behave Morally in Text-based Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jun Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CITB: A Benchmark for Continual Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Turn-Level Active Learning for Dialogue State Tracking.

[BibT_eX]

[DOI]

Decebal Constantin Mocanu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-imitation Learning for Action Generation in Text-based Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Diversity-augmented intrinsic motivation for deep reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Shiwei Liu

CoRR, 2022

Superposing many tickets into one: A performance booster for sparse neural network training.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Decebal Constantin Mocanu

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.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning Granularity-Unified Representations for Text-to-Image Person Re-identification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhangyang Wang

Mykola Pechenizkiy

Shiwei Liu

Proceedings of the Learning on Graphs Conference, 2022

Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2021

Safe Exploration by Solving Early Terminated MDP.

[BibT_eX]

[DOI]

CoRR, 2021

MHER: Model-based Hindsight Experience Replay.

[BibT_eX]

[DOI]

CoRR, 2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Generalization in Text-based Games via Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Revisiting metric learning for few-shot image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Big Cross-Modal Social Media Data Analytics With Deep Intelligence.

[BibT_eX]

[DOI]

IEEE Multim., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Zeroth-Order Supervised Policy Improvement.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Deep Reinforcement Learning with Transformers for Text Adventure Games.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2020

Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Unsupervised Domain Adaptation on Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning With Annotation of Various Degrees.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Data Subset Selection With Imperfect Multiple Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Arena: a toolkit for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Data-driven operational risk analysis in E-Commerce Logistics.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2019

Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

Learning to Solve a Rubik's Cube with a Dexterous Hand.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Curriculum-guided Hindsight Experience Replay.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yu Cao

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.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue.

[BibT_eX]

[DOI]

Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Inter-Class Angular Loss for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Transfer Hashing: From Shallow to Deep.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Teaching Semi-Supervised Classifier via Generalized Distillation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Query Efficient Black-box Attacks: An Input-free Perspective.

[BibT_eX]

[DOI]

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018

2017

Active Multitask Learning With Trace Norm Regularization Based on Excess Risk.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

An Improved PHD Filter Based on Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Yuan Li

Trevor Cohn

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary.

[BibT_eX]

[DOI]

Trevor Cohn

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Supervised sampling for networked data.

[BibT_eX]

[DOI]

Signal Process., 2016

Per-Round Knapsack-Constrained Linear Submodular Bandits.

[BibT_eX]

[DOI]

Baosheng Yu

Neural Comput., 2016

Active exploration for large graphs.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2016

Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors.

[BibT_eX]

[DOI]

Proceedings of the Inclusive Smart Cities and Digital Health, 2016

Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Trevor Cohn

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Submodular Asymmetric Feature Selection in Cascade Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Linear Submodular Bandits with a Knapsack Constraint.

[BibT_eX]

[DOI]

Baosheng Yu

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

[BibT_eX]

[DOI]

PhD thesis, 2015

TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Active Multi-task Learning via Bandits.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Saliency propagation from simple to difficult.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Active learning with uncertain labeling knowledge.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

Networked bandits with disjoint linear payoffs.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Active Learning for Crowdsourcing Using Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Hierarchical Sampling for Multi-Instance Ensemble Learning.

[BibT_eX]

[DOI]

Hanning Yuan

IEEE Trans. Knowl. Data Eng., 2013

Active Class Discovery and Learning for Networked Data.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Knowledge Transfer for Multi-labeler Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Transfer Learning across Networks for Collective Classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Active exploration: simultaneous sampling and labeling for large graphs.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Top-k correlated subgraph query for data streams.

[BibT_eX]

[DOI]

Shirui Pan

Proceedings of the 21st International Conference on Pattern Recognition, 2012

I don't know the label: Active learning with blind knowledge.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Self-Taught Active Learning from Crowds.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Active Learning from Oracle with Knowledge Blind Spot.

[BibT_eX]

[DOI]

Chengqi Zhang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010

Spatial Neighborhood Clustering Based on Data Field.

[BibT_eX]

[DOI]

Shuliang Wang

Hong Jin

Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2003

Real-Time Mining of Partial Periodic Patterns.

[BibT_eX]

Chih Lai

Lawrence Stephanie