Tong Yu

Orcid: 0000-0002-5991-2050

Affiliations:
  • Adobe Research, San Jose, CA, USA
  • Samsung Research America, Mountain View, CA, USA (former)
  • Carnegie Mellon University, PA, USA (former)
  • National Taiwan University, Taipei City, Taiwan (former)
  • Nanjing University, Software Institute, China (former)


According to our database1, Tong Yu authored at least 129 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems.
IEEE Trans. Knowl. Data Eng., December, 2024

Toward joint utilization of absolute and relative bandit feedback for conversational recommendation.
User Model. User Adapt. Interact., November, 2024

Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data, July, 2024

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model.
J. Mach. Learn. Res., 2024

Customizing graph neural networks using path reweighting.
Inf. Sci., 2024

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding.
CoRR, 2024

Personalization of Large Language Models: A Survey.
CoRR, 2024

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.
CoRR, 2024

Survey of User Interface Design and Interaction Techniques in Generative AI Applications.
CoRR, 2024

A Survey of Small Language Models.
CoRR, 2024

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
CoRR, 2024

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval.
CoRR, 2024

Federated Large Language Models: Current Progress and Future Directions.
CoRR, 2024

Visual Prompting in Multimodal Large Language Models: A Survey.
CoRR, 2024

A Multi-LLM Debiasing Framework.
CoRR, 2024

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
CoRR, 2024

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback.
CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.
CoRR, 2024

Causal Discovery-Driven Change Point Detection in Time Series.
CoRR, 2024

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data.
CoRR, 2024

ARTIST: Improving the Generation of Text-rich Images by Disentanglement.
CoRR, 2024

Calibrating Reasoning in Language Models with Internal Consistency.
CoRR, 2024

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs.
CoRR, 2024

Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach.
CoRR, 2024

Uncertainty-aware Distributional Offline Reinforcement Learning.
CoRR, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
CoRR, 2024

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models.
CoRR, 2024

Foundation Models for Recommender Systems: A Survey and New Perspectives.
CoRR, 2024

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR, 2024

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion.
CoRR, 2024

Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits.
Proceedings of the ACM on Web Conference 2024, 2024

Tackling Long-Tail Entities for Temporal Knowledge Graph Completion.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Interact with the Explanations: Causal Debiased Explainable Recommendation System.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Hallucination Diversity-Aware Active Learning for Text Summarization.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Editing Partially Observable Networks via Graph Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Building The Federatedgpt: Federated Instruction Tuning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing Vision-Language Models with Adapter Ensemble Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis?
Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation.
User Model. User Adapt. Interact., November, 2023

Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR, 2023

Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances.
CoRR, 2023

Bias and Fairness in Large Language Models: A Survey.
CoRR, 2023

FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback.
CoRR, 2023

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.
CoRR, 2023

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression.
CoRR, 2023

Fast Natural Language Based Data Exploration with Samples.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Corrupted User Detection and Regret Minimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Discovery in Semi-Stationary Time Series.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Content-aware Progressive Image Compression and Syncing.
Proceedings of the IEEE International Symposium on Multimedia, 2023

GPU-accelerated Lossless Image Compression with Massive Parallelization.
Proceedings of the IEEE International Symposium on Multimedia, 2023

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Interpretable Unsupervised Log Anomaly Detection.
Proceedings of the IEEE International Conference on Big Data, 2023

Understanding Demonstration-based Learning from a Causal Perspective.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reinforced Approximate Exploratory Data Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Federated online clustering of bandits.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Bundle MCR: Towards Conversational Bundle Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Language-Free Training for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Hierarchical Conversational Preference Elicitation with Bandit Feedback.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Few-Shot Class-Incremental Learning for Named Entity Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

TiGAN: Text-Based Interactive Image Generation and Manipulation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Text-Based Interactive Recommendation via Offline Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
LAFITE: Towards Language-Free Training for Text-to-Image Generation.
CoRR, 2021

Comparison-based Conversational Recommender System with Relative Bandit Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Stochastic local search for efficient hybrid feature selection.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Clustering of Conversational Bandits for User Preference Learning and Elicitation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems.
CoRR, 2020

Reward Constrained Interactive Recommendation with Natural Language Feedback.
CoRR, 2020

Graphical Models Meet Bandits: A Variational Thompson Sampling Approach.
Proceedings of the 37th International Conference on Machine Learning, 2020

CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Fine-grained activities recognition with coarse-grained labeled multi-modal data.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Towards Hands-Free Visual Dialog Interactive Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Figure Captioning with Reasoning and Sequence-Level Training.
CoRR, 2019

Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Visual Dialog Augmented Interactive Recommender System.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Neural caption generation over figures.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Scalable Thompson Sampling via Optimal Transport.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase.
CoRR, 2018

SpectralLeader: Online Spectral Learning for Single Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Understanding and improving recurrent networks for human activity recognition by continuous attention.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

Mitigating Multi-tenant Interference in Continuous Mobile Offloading.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
XRec: Behavior-Based User Recognition Across Mobile Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

SpectralFPL: Online Spectral Learning for Single Topic Models.
CoRR, 2017

Towards continuous and passive authentication across mobile devices: an empirical study.
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2017

Thompson Sampling for Optimizing Stochastic Local Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Mitigating multi-tenant interference on mobile offloading servers: poster abstract.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Semi-supervised convolutional neural networks for human activity recognition.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices.
Proceedings of the 8th EAI International Conference on Mobile Computing, 2016

Markov Chain Analysis of Noise and Restart in Stochastic Local Search.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Incremental learning for matrix factorization in recommender systems.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Soft-assigned bag of features for object tracking.
Multim. Syst., 2015

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res., 2015

2014
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes.
Proc. VLDB Endow., 2014

Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res., 2014

2013
Soft-assigned bag of features tracking.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013


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