Juntao Tan

Orcid: 0000-0003-3646-933X

According to our database1, Juntao Tan authored at least 67 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Whisper-AuT: Domain-Adapted Audio Encoder for Efficient Audio-LLM Training.
CoRR, April, 2026

VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-Enhanced Vertical Federated Learning.
ACM Trans. Sens. Networks, March, 2026

Enterprise Sales Copilot: Enabling Real-Time AI Support with Automatic Information Retrieval in Live Sales Calls.
CoRR, March, 2026

Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial.
CoRR, March, 2026

Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models.
CoRR, March, 2026

VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures.
CoRR, March, 2026

AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech.
CoRR, February, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.
CoRR, February, 2026

2025
Robotic VLA Benefits from Joint Learning with Motion Image Diffusion.
CoRR, December, 2025

LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering.
CoRR, November, 2025

LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering.
CoRR, September, 2025

VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking.
CoRR, July, 2025

VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning.
CoRR, July, 2025

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models.
CoRR, July, 2025

A Survey on Trustworthy Recommender Systems.
Trans. Recomm. Syst., June, 2025

Causal Inference for Recommendation: Foundations, Methods, and Applications.
ACM Trans. Intell. Syst. Technol., June, 2025

Entropy-Based Block Pruning for Efficient Large Language Models.
CoRR, April, 2025

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data.
CoRR, February, 2025

A-MEM: Agentic Memory for LLM Agents.
CoRR, February, 2025

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025


ActionStudio: A Lightweight Framework for Data and Training of Large Action Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LATTE: Learning to Think with Vision Specialists.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SlackAgents: Scalable Collaboration of AI Agents in Workspaces.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
ACM Trans. Inf. Syst., January, 2024

Unraveling the Accuracy Enigma: Investigating ZTD Data Precision in TUW-VMF3 and GFZ-VMF3 Products Using a Comprehensive Global GPS Dataset.
IEEE Trans. Geosci. Remote. Sens., 2024

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action.
CoRR, 2024

SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs.
CoRR, 2024

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent.
CoRR, 2024

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.
CoRR, 2024

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.
CoRR, 2024

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases.
CoRR, 2024

Towards LLM-RecSys Alignment with Textual ID Learning.
CoRR, 2024

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.
CoRR, 2024

IDGenRec: LLM-RecSys Alignment with Textual ID Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GenRec: Large Language Model for Generative Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

2023
Deconfounded Causal Collaborative Filtering.
Trans. Recomm. Syst., December, 2023

Fairness in Recommendation: Foundations, Methods, and Applications.
ACM Trans. Intell. Syst. Technol., October, 2023

Efficient Non-Sampling Graph Neural Networks.
Inf., 2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem.
CoRR, 2023

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI.
CoRR, 2023

Counterfactual Collaborative Reasoning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

OpenAGI: When LLM Meets Domain Experts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

VIP5: Towards Multimodal Foundation Models for Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Fairness in Recommendation: A Survey.
CoRR, 2022

Residue-based Label Protection Mechanisms in Vertical Logistic Regression.
CoRR, 2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Fairness in Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Causal factorization machine for robust recommendation.
Proceedings of the JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20, 2022

Dynamic Causal Collaborative Filtering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Residue-based Label Protection Mechanisms in Vertical Logistic Regression.
Proceedings of the 8th International Conference on Big Data Computing and Communications, 2022

2021
Deconfounded Causal Collaborative Filtering.
CoRR, 2021

Counterfactual Evaluation for Explainable AI.
CoRR, 2021

Sample-level Data Selection for Federated Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Efficient Federated-Learning Model Debugging.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Counterfactual Explainable Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Spatiotemporal Characteristics of Urban Surface Temperature and Its Relationship with Landscape Metrics and Vegetation Cover in Rapid Urbanization Region.
Complex., 2020

2019
Belief-Space Planning Using Learned Models with Application to Underactuated Hands.
Proceedings of the Robotics Research, 2019


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