Belief-Space Planning Using Learned Models with Application to Underactuated Hands. - Andrew Kimmel; Avishai Sintov; Juntao Tan; Bowen Wen; Abdeslam Boularias; Kostas E. Bekris (ISRR, 2019)

Spatiotemporal Characteristics of Urban Surface Temperature and Its Relationship with Landscape Metrics and Vegetation Cover in Rapid Urbanization Region. - Hongbo Zhao; Juntao Tan; Zhibin Ren; Zheye Wang (Complex., 2020)

Counterfactual Explainable Recommendation. - Juntao Tan; Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Xu Chen 017; Yongfeng Zhang 003 (CIKM, 2021)

Efficient Federated-Learning Model Debugging. - Anran Li 001; Lan Zhang 002; Junhao Wang; Juntao Tan; Feng Han; Yaxuan Qin; Nikolaos M. Freris; Xiang-Yang Li 001 (ICDE, 2021)

A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs. - Juntao Tan; Changkyu Song; Abdeslam Boularias (ICRA, 2021)

Sample-level Data Selection for Federated Learning. - Anran Li 001; Lan Zhang 002; Juntao Tan; Yaxuan Qin; Junhao Wang; Xiang-Yang Li 001 (INFOCOM, 2021)

Counterfactual Evaluation for Explainable AI. - Yingqiang Ge; Shuchang Liu 001; Zelong Li 001; Shuyuan Xu; Shijie Geng; Yunqi Li 003; Juntao Tan; Fei Sun 001; Yongfeng Zhang 003 (CoRR, 2021)

Deconfounded Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Shelby Heinecke; Jia Li; Yongfeng Zhang 003 (CoRR, 2021)

Residue-based Label Protection Mechanisms in Vertical Logistic Regression. - Juntao Tan; Lan Zhang 002; Yang Liu 003; Anran Li 001; Ye Wu (BigCom, 2022)

Dynamic Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Zuohui Fu; Jianchao Ji; Shelby Heinecke; Yongfeng Zhang 003 (CIKM, 2022)

Causal factorization machine for robust recommendation. - Yunqi Li 003; Hanxiong Chen; Juntao Tan; Yongfeng Zhang 003 (JCDL, 2022)

Explainable Fairness in Recommendation. - Yingqiang Ge; Juntao Tan; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Shuchang Liu 001; Zuohui Fu; Shijie Geng; Zelong Li 001; Yongfeng Zhang 003 (SIGIR, 2022)

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. - Shijie Geng; Zuohui Fu; Juntao Tan; Yingqiang Ge; Gerard de Melo; Yongfeng Zhang 003 (WWW, 2022)

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. - Juntao Tan; Shijie Geng; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Yunqi Li 003; Yongfeng Zhang 003 (WWW, 2022)

Fairness in Recommendation: A Survey. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 001; Yongfeng Zhang 003 (CoRR, 2022)

User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. - Juntao Tan; Yingqiang Ge; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Jianchao Ji; Yongfeng Zhang 003 (ECAI, 2023)

VIP5: Towards Multimodal Foundation Models for Recommendation. - Shijie Geng; Juntao Tan; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang 003 (EMNLP (Findings), 2023)

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. - Juntao Tan; Yongfeng Zhang 003 (KDD, 2023)

OpenAGI: When LLM Meets Domain Experts. - Yingqiang Ge; Wenyue Hua; Kai Mei; Jianchao Ji; Juntao Tan; Shuyuan Xu; Zelong Li 001; Yongfeng Zhang 003 (NeurIPS, 2023)

Counterfactual Collaborative Reasoning. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Max Xiong; Juntao Tan; Yingqiang Ge; Hao Wang 014; Yongfeng Zhang 003 (WSDM, 2023)

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. - Juntao Tan; Yongfeng Zhang (CoRR, 2023)

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. - Yingqiang Ge; Yujie Ren; Wenyue Hua; Shuyuan Xu; Juntao Tan; Yongfeng Zhang 003 (CoRR, 2023)

Efficient Non-Sampling Graph Neural Networks. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Yongfeng Zhang 003 (Inf., 2023)

Fairness in Recommendation: Foundations, Methods, and Applications. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 001; Yongfeng Zhang 003 (ACM Trans. Intell. Syst. Technol., 2023)

Deconfounded Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Shelby Heinecke; Vena Jia Li; Yongfeng Zhang 003 (Trans. Recomm. Syst., 2023)

GenRec: Large Language Model for Generative Recommendation. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Juntao Tan; Yongfeng Zhang 003 (ECIR (3), 2024)

APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang 006; Ming Zhu; Tian Lan 006; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh R. N.; Liangwei Yang; et al. (NeurIPS, 2024)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. - Juntao Tan; Shelby Heinecke; Zhiwei Liu 001; Yongjun Chen; Yongfeng Zhang 003; Huan Wang 014 (SDM, 2024)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li 001; Yongfeng Zhang 003 (SIGIR, 2024)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. - Jianguo Zhang 005; Tian Lan 006; Rithesh Murthy; Zhiwei Liu 001; Weiran Yao; Juntao Tan; Thai Hoang; Liangwei Yang; Yihao Feng; Zuxin Liu; Tulika Manoj Awalgaonkar; Juan Carlos Niebles; et al. (CoRR, 2024)

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Liangwei Yang; Zuxin Liu; Juntao Tan; Prafulla Kumar Choubey; Tian Lan 006; Jason Wu; Huan Wang 014; Shelby Heinecke; Caiming Xiong; et al. (CoRR, 2024)

Towards LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li 001; Yongfeng Zhang 003 (CoRR, 2024)

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. - Rithesh Murthy; Liangwei Yang; Juntao Tan; Tulika Manoj Awalgaonkar; Yilun Zhou; Shelby Heinecke; Sachin Desai; Jason Wu; Ran Xu 001; Sarah Tan; Jianguo Zhang 005; Zhiwei Liu 001; et al. (CoRR, 2024)

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. - Zuxin Liu; Thai Hoang; Jianguo Zhang 005; Ming Zhu; Tian Lan 006; Shirley Kokane; Juntao Tan; Weiran Yao; Zhiwei Liu 001; Yihao Feng; Rithesh Murthy; Liangwei Yang; et al. (CoRR, 2024)

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. - Le Xue; Manli Shu; Anas Awadalla; Jun Wang 090; An Yan; Senthil Purushwalkam; Honglu Zhou; Viraj Prabhu; Yutong Dai 002; Michael S. Ryoo; Shrikant Kendre; Jieyu Zhang 001; et al. (CoRR, 2024)

xLAM: A Family of Large Action Models to Empower AI Agent Systems. - Jianguo Zhang 005; Tian Lan 006; Ming Zhu; Zuxin Liu; Thai Hoang; Shirley Kokane; Weiran Yao; Juntao Tan; Akshara Prabhakar; Haolin Chen; Zhiwei Liu 001; Yihao Feng; et al. (CoRR, 2024)

PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Rithesh Murthy; Liangwei Yang; Zuxin Liu; Tian Lan 006; Ming Zhu; Juntao Tan; Shirley Kokane; Thai Hoang; Juan Carlos Niebles; et al. (CoRR, 2024)

SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs. - Shirley Kokane; Ming Zhu; Tulika Awalgaonkar; Jianguo Zhang 006; Thai Hoang; Akshara Prabhakar; Zuxin Liu; Tian Lan 006; Liangwei Yang; Juntao Tan; Rithesh Murthy; Weiran Yao; et al. (CoRR, 2024)

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. - Zixian Ma; Jianguo Zhang 006; Zhiwei Liu 001; Jieyu Zhang 001; Juntao Tan; Manli Shu; Juan Carlos Niebles; Shelby Heinecke; Huan Wang 014; Caiming Xiong; Ranjay Krishna; Silvio Savarese (CoRR, 2024)

Unraveling the Accuracy Enigma: Investigating ZTD Data Precision in TUW-VMF3 and GFZ-VMF3 Products Using a Comprehensive Global GPS Dataset. - Jian Li; Fei Yang; Debao Yuan; Haoyu Wang; Shiji Song; Juntao Tan; Zhuoyue Wen (IEEE Trans. Geosci. Remote. Sens., 2024)

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. - Zhichao Xu 001; Hansi Zeng; Juntao Tan; Zuohui Fu; Yongfeng Zhang 003; Qingyao Ai (ACM Trans. Inf. Syst., 2024)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. - Juntao Tan; Liangwei Yang; Zuxin Liu; Zhiwei Liu 001; Rithesh R. N.; Tulika Manoj Awalgaonkar; Jianguo Zhang 006; Weiran Yao; Ming Zhu; Shirley Kokane; Silvio Savarese; Huan Wang 016; et al. (ACL (Findings), 2025)

xLAM: A Family of Large Action Models to Empower AI Agent Systems. - Jianguo Zhang 006; Tian Lan 006; Ming Zhu; Zuxin Liu; Thai Hoang; Shirley Kokane; Weiran Yao; Juntao Tan; Akshara Prabhakar; Haolin Chen; Zhiwei Liu 001; Yihao Feng; et al. (NAACL (Long Papers), 2025)

A-MEM: Agentic Memory for LLM Agents. - Wujiang Xu; Zujie Liang; Kai Mei; Hang Gao; Juntao Tan; Yongfeng Zhang (CoRR, 2025)

PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. - Juntao Tan; Liangwei Yang; Zuxin Liu; Zhiwei Liu 001; Rithesh Murthy; Tulika Manoj Awalgaonkar; Jianguo Zhang 006; Weiran Yao; Ming Zhu; Shirley Kokane; Silvio Savarese; Huan Wang 016; et al. (CoRR, 2025)

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. - Jianguo Zhang 005; Thai Hoang; Ming Zhu; Zuxin Liu; Shiyu Wang; Tulika Awalgaonkar; Akshara Prabhakar; Haolin Chen; Weiran Yao; Zhiwei Liu 001; Juntao Tan; Juan Carlos Niebles; et al. (CoRR, 2025)

Entropy-Based Block Pruning for Efficient Large Language Models. - Liangwei Yang; Yuhui Xu; Juntao Tan; Doyen Sahoo; Silvio Savarese; Caiming Xiong; Huan Wang 014; Shelby Heinecke (CoRR, 2025)

Causal Inference for Recommendation: Foundations, Methods, and Applications. - Shuyuan Xu; Jianchao Ji; Yunqi Li 003; Yingqiang Ge; Juntao Tan; Yongfeng Zhang 003 (ACM Trans. Intell. Syst. Technol., 2025)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 001; Zuohui Fu; Juntao Tan; Zelong Li 001; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang 003 (Trans. Recomm. Syst., 2025)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models. - Rithesh Murthy; Ming Zhu; Liangwei Yang; Jielin Qiu; Juntao Tan; Shelby Heinecke; Caiming Xiong; Silvio Savarese; Huan Wang 016 (CoRR, 2025)

VTarbel: Targeted Label Attack with Minimal Knowledge on Detector-enhanced Vertical Federated Learning. - Juntao Tan; Anran Li; Quanchao Liu; Peng Ran; Lan Zhang (CoRR, 2025)

VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking. - Juntao Tan; Lan Zhang; Zhonghao Hu; Kai Yang; Peng Ran; Bo Li (CoRR, 2025)

LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering. - Jielin Qiu; Zuxin Liu; Zhiwei Liu 001; Rithesh Murthy; Jianguo Zhang 005; Haolin Chen; Shiyu Wang; Ming Zhu; Liangwei Yang; Juntao Tan; Zhepeng Cen; Cheng Qian 008; et al. (CoRR, 2025)