Jianshu Chen

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

2023

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

[BibT_eX]

[DOI]

CoRR, 2023

PIVOINE: Instruction Tuning for Open-world Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2023

Thrust: Adaptively Propels Large Language Models with External Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Language Representations with Logical Inductive Bias.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PIVOINE: Instruction Tuning for Open-world Entity Profiling.

[BibT_eX]

[DOI]

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

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Blessing of Class Diversity in Pre-training.

[BibT_eX]

[DOI]

Yulai Zhao

Simon S. Du

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks.

[BibT_eX]

[DOI]

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

2022

Explanations from Large Language Models Make Small Reasoners Better.

[BibT_eX]

[DOI]

CoRR, 2022

PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent

[BibT_eX]

[DOI]

Daoming Lyu

Bo Liu

CoRR, 2022

Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer.

[BibT_eX]

[DOI]

Jianyi Zhang

Yiran Chen

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination.

[BibT_eX]

[DOI]

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

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

On Effective Parallelization of Monte Carlo Tree Search.

[BibT_eX]

[DOI]

CoRR, 2020

Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

TabFact: A Large-scale Dataset for Table-based Fact Verification.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Comprehensive Image Captioning via Scene Graph Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Logical Natural Language Generation from Open-Domain Tables.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2019

Improving Pre-Trained Multilingual Models with Vocabulary Expansion.

[BibT_eX]

[DOI]

CoRR, 2019

Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach.

[BibT_eX]

[DOI]

Shiyang Li

Dian Yu

CoRR, 2019

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization.

[BibT_eX]

[DOI]

Adithya M. Devraj

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching.

[BibT_eX]

[DOI]

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

Evidence Sentence Extraction for Machine Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Improving Pre-Trained Multilingual Model with Vocabulary Expansion.

[BibT_eX]

[DOI]

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Learning to Recover Sparse Signals.

[BibT_eX]

[DOI]

Sichen Zhong

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.

[BibT_eX]

[DOI]

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

Improving Question Answering with External Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Incorporating Structured Commonsense Knowledge in Story Completion.

[BibT_eX]

[DOI]

Jiaao Chen

Zhou Yu

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

2018

Design and Analysis of an Interactive MOOC Teaching System Based on Virtual Reality.

[BibT_eX]

[DOI]

Int. J. Emerg. Technol. Learn., 2018

P-MCGS: Parallel Monte Carlo Acyclic Graph Search.

[BibT_eX]

[DOI]

CoRR, 2018

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coupled Variational Bayes via Optimization Embedding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Infer Power Grid Topologies: Performance and Scalability.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Smoothed Dual Embedding Control.

[BibT_eX]

[DOI]

CoRR, 2017

A Learning-to-Infer Method for Real-Time Power Grid Topology Identification.

[BibT_eX]

[DOI]

CoRR, 2017

An Unsupervised Learning Method Exploiting Sequential Output Statistics.

[BibT_eX]

[DOI]

Yu Liu

CoRR, 2017

CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics.

[BibT_eX]

[DOI]

Omid Alipourfard

Hongqiang Harry Liu

Shivaram Venkataraman

Minlan Yu

Ming Zhang

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Unsupervised Sequence Classification using Sequential Output Statistics.

[BibT_eX]

[DOI]

Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Stochastic Variance Reduction Methods for Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Character-level deep conflation for business data analytics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Excess-Risk of Distributed Stochastic Learners.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2016

Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear.

[BibT_eX]

[DOI]

CoRR, 2016

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised Learning of Predictors from Unpaired Input-Output Samples.

[BibT_eX]

[DOI]

CoRR, 2016

Learning to infer: A new variational inference approach for power grid topology identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2016, 2016

Interpreting the prediction process of a deep network constructed from supervised topic models.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Efficient neural network architecture for topology identification in smart grid.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Reinforcement Learning with a Natural Language Action Space.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2015

Dictionary Learning Over Distributed Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Distributed Policy Evaluation Under Multiple Behavior Strategies.

[BibT_eX]

[DOI]

Sergio Valcarcel Macua

Santiago Zazo

IEEE Trans. Autom. Control., 2015

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval.

[BibT_eX]

[DOI]

CoRR, 2015

Recurrent Reinforcement Learning: A Hybrid Approach.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Reinforcement Learning with an Unbounded Action Space.

[BibT_eX]

[DOI]

CoRR, 2015

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation.

[BibT_eX]

[DOI]

CoRR, 2015

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Deep Embedding Model for Co-occurrence Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

On the Learning Behavior of Adaptive Networks.

[BibT_eX]

[DOI]

PhD thesis, 2014

Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2014

Semantic Modelling with Long-Short-Term Memory for Information Retrieval.

[BibT_eX]

[DOI]

CoRR, 2014

A New Method for Learning Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Dictionary learning over large distributed models via dual-ADMM strategies.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Plant Image Analysis Machine Vision System in Greenhouse.

[BibT_eX]

[DOI]

Proceedings of the Computer and Computing Technologies in Agriculture VIII, 2014

Sequence classification using the high-level features extracted from deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Online dictionary learning over distributed models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Dynamic joint outage identification and state estimation in power systems.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Line outage detection in power transmission networks via message passing algorithms.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation.

[BibT_eX]

[DOI]

Jun Wang

Danijela Cabric

IEEE Wirel. Commun. Lett., 2013

Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks.

[BibT_eX]

[DOI]

Jun Wang

Danijela Cabric

IEEE Trans. Wirel. Commun., 2013

Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2013

Distributed Pareto Optimization via Diffusion Strategies.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2013

On distributed online classification in the midst of concept drifts.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Excess-Risk Analysis of Distributed Stochastic Learners

[BibT_eX]

[DOI]

CoRR, 2013

Online learning and adaptation over networks: More information is not necessarily better.

[BibT_eX]

[DOI]

Sheng-Yuan Tu

Proceedings of the 2013 Information Theory and Applications Workshop, 2013

Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC.

[BibT_eX]

[DOI]

Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013

The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method.

[BibT_eX]

[DOI]

Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013

Distributed inference over regression and classification models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Cooperative off-policy prediction of Markov decision processes in adaptive networks.

[BibT_eX]

[DOI]

Sergio Valcarcel Macua

Santiago Zazo

Proceedings of the IEEE International Conference on Acoustics, 2013

On the probability distribution of distributed optimization strategies.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

On the benefits of diffusion cooperation for distributed optimization and learning.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Optimal joint detection and estimation in linear models.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Distributed pareto-optimal solutions via diffusion adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Beam coordination via diffusion adaptation over array networks.

[BibT_eX]

[DOI]

Xiaochuan Zhao

Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

On the generalization ability of distributed online learners.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images.

[BibT_eX]

[DOI]

Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012

Distributed throughput optimization over P2P mesh networks using diffusion adaptation.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2012

Performance of diffusion adaptation for collaborative optimization.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Distributed learning via Diffusion adaptation with application to ensemble learning.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

On the limiting behavior of distributed optimization strategies.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Collaborative learning of mixture models using diffusion adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Optimalwaveform design for MIMO radarwith low probability of interception.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Bio-inspired cooperative optimization with application to bacteria motility.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Distributed optimization via diffusion adaptation.

[BibT_eX]

[DOI]

Sheng-Yuan Tu