Juntao Tan

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All published works

Action	Title	Year	Authors
+ PDF Chat	TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action	2024	Zixian Ma Jianguo Zhang Zhiwei Liu Jieyu Zhang Juntao Tan Manli Shu Juan Carlos Niebles Shelby Heinecke Huan Wang Caiming Xiong
+ PDF Chat	SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs	2024	Shirley Kokane Ming Zhu Tulika Awalgaonkar Jianguo Zhang Thai Hoang Anish Prabhakar Zuxin Liu Tian Lan Liangwei Yang Juntao Tan
+ PDF Chat	PRACT: Optimizing Principled Reasoning and Acting of LLM Agent	2024	Zhiwei Liu Weiran Yao Jianguo Zhang Rithesh Murthy Liangwei Yang Zuxin Liu Tian Lan Ming Zhu Juntao Tan Shirley Kokane
+ PDF Chat	xLAM: A Family of Large Action Models to Empower AI Agent Systems	2024	Jianguo Zhang Tian Lan Ming Zhu Zuxin Liu Thai Hoang Shirley Kokane Weiran Yao Juntao Tan Anish Prabhakar Haolin Chen
+ PDF Chat	IDGenRec: LLM-RecSys Alignment with Textual ID Learning	2024	Juntao Tan Shuyuan Xu Wenyue Hua Yingqiang Ge Zelong Li Yongfeng Zhang
+ PDF Chat	APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets	2024	Zuxin Liu Thai Hoang Jianguo Zhang Ming Zhu Tian Lan Shirley Kokane Juntao Tan Weiran Yao Zhiwei Liu Yihao Feng
+ PDF Chat	MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases	2024	Rithesh Murthy Liangwei Yang Juntao Tan Tulika Awalgaonkar Yilun Zhou Shelby Heinecke Sachin N. Desai Jason Wu Ran Xu Sarah Tan
+ PDF Chat	A Survey on Trustworthy Recommender Systems	2024	Yingqiang Ge Shuchang Liu Zuohui Fu Juntao Tan Zelong Li Shuyuan Xu Yunqi Li Yikun Xian Yongfeng Zhang
+ PDF Chat	Towards LLM-RecSys Alignment with Textual ID Learning	2024	Juntao Tan Shuyuan Xu Wenyue Hua Yingqiang Ge Zelong Li Yongfeng Zhang
+ PDF Chat	AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning	2024	Jianguo Zhang Tian Lan Rithesh Murthy Zhiwei Liu Weiran Yao Juntao Tan Thai Hoang Liangwei Yang Yihao Feng Zuxin Liu
+ PDF Chat	AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System	2024	Zhi‐Wei Liu Weiran Yao Jianguo Zhang Liangwei Yang Zuxin Liu Juntao Tan Prafulla Kumar Choubey Tian Lan Jason Wu Huan Wang
+ PDF Chat	Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training	2024	Juntao Tan Shelby Heinecke Zhiwei Liu Yongjun Chen Yongfeng Zhang Huan Wang
+ PDF Chat	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations	2023	Juntao Tan Yingqiang Ge Zhu Yan Yinglong Xia Jiebo Luo Jianchao Ji Yongfeng Zhang
+	ExplainableFold: Understanding AlphaFold Prediction with Explainable AI	2023	Juntao Tan Yongfeng Zhang
+	Fairness in Recommendation: Foundations, Methods, and Applications	2023	Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang
+	Deconfounded Causal Collaborative Filtering	2023	Shuyuan Xu Juntao Tan Shelby Heinecke Vena Jia Li Yongfeng Zhang
+	Counterfactual Collaborative Reasoning	2023	Jianchao Ji Zelong Li Shuyuan Xu Max Xiong Juntao Tan Yingqiang Ge Hao Wang Yongfeng Zhang
+	Causal Inference for Recommendation: Foundations, Methods and Applications	2023	Shuyuan Xu Jianchao Ji Yunqi Li Yingqiang Ge Juntao Tan Yongfeng Zhang
+	ExplainableFold: Understanding AlphaFold Prediction with Explainable AI	2023	Juntao Tan Yongfeng Zhang
+	OpenAGI: When LLM Meets Domain Experts	2023	Yingqiang Ge Wenyue Hua Jianchao Ji Juntao Tan Shuyuan Xu Yongfeng Zhang
+	Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training	2023	Juntao Tan Shelby Heinecke Zhiwei Liu Yongjun Chen Yongfeng Zhang Huan Wang
+	VIP5: Towards Multimodal Foundation Models for Recommendation	2023	Shijie Geng Juntao Tan Shuchang Liu Zuohui Fu Yongfeng Zhang
+	GenRec: Large Language Model for Generative Recommendation	2023	Jianchao Ji Zelong Li Shuyuan Xu Wenyue Hua Yingqiang Ge Juntao Tan Yongfeng Zhang
+	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations	2023	Juntao Tan Yingqiang Ge Zhu Yan Yinglong Xia Jiebo Luo Jianchao Ji Yongfeng Zhang
+	LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem	2023	Yingqiang Ge Yujie Ren Wenyue Hua Shuyuan Xu Juntao Tan Yongfeng Zhang
+	VIP5: Towards Multimodal Foundation Models for Recommendation	2023	Shijie Geng Juntao Tan Shuchang Liu Zuohui Fu Yongfeng Zhang
+ PDF Chat	Dynamic Causal Collaborative Filtering	2022	Shuyuan Xu Juntao Tan Zuohui Fu Jianchao Ji Shelby Heinecke Yongfeng Zhang
+ PDF Chat	Residue-based Label Protection Mechanisms in Vertical Logistic Regression	2022	Juntao Tan Lan Zhang Yang Liu Anran Li Ye Wu
+ PDF Chat	Explainable Fairness in Recommendation	2022	Yingqiang Ge Juntao Tan Zhu Yan Yinglong Xia Jiebo Luo Shuchang Liu Zuohui Fu Shijie Geng Zelong Li Yongfeng Zhang
+ PDF Chat	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning	2022	Juntao Tan Shijie Geng Zuohui Fu Yingqiang Ge Shuyuan Xu Yunqi Li Yongfeng Zhang
+	Residue-based Label Protection Mechanisms in Vertical Logistic Regression	2022	Juntao Tan Lan Zhang Yang Liu Anran Li Ye Wu
+	Fairness in Recommendation: Foundations, Methods and Applications	2022	Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Juntao Tan Shuchang Liu Yongfeng Zhang
+	A Survey on Trustworthy Recommender Systems	2022	Yingqiang Ge Shuchang Liu Zuohui Fu Juntao Tan Zelong Li Shuyuan Xu Yunqi Li Yikun Xian Yongfeng Zhang
+ PDF Chat	Counterfactual Explainable Recommendation	2021	Juntao Tan Shuyuan Xu Yingqiang Ge Yunqi Li Chen Xu Yongfeng Zhang
+ PDF Chat	A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs	2021	Juntao Tan Chang‐Kyu Song Abdeslam Boularias
+	Counterfactual Evaluation for Explainable AI	2021	Yingqiang Ge Shuchang Liu Zelong Li Shuyuan Xu Shijie Geng Yunqi Li Juntao Tan Fei Sun Yongfeng Zhang
+	Deconfounded Causal Collaborative Filtering	2021	Shuyuan Xu Juntao Tan Shelby Heinecke Jia Li Yongfeng Zhang
+	A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs	2020	Juntao Tan Chang‐Kyu Song Abdeslam Boularias

Common Coauthors

Coauthor	Papers Together
Yongfeng Zhang	21
Shuyuan Xu	17
Yingqiang Ge	17
Shelby Heinecke	13
Zelong Li	8
Caiming Xiong	8
Shuchang Liu	8
Yunqi Li	8
Silvio Savarese	7
Zuxin Liu	7
Jianchao Ji	7
Zuohui Fu	7
Rithesh Murthy	6
Liangwei Yang	6
Juan Carlos Niebles	6
Weiran Yao	6
Thai Hoang	5
Shirley Kokane	5
Shijie Geng	5
Wenyue Hua	5
Tulika Awalgaonkar	4
Jian‐Guo Zhang	3
Huan Wang	3
Yongfeng Zhang	3
Zhiwei Liu	3
Zhiwei Liu	3
Tian Lan	3
Zhu Yan	3
Zhiwei Liu	3
Jianguo Zhang	3
Huan Wang	3
Yinglong Xia	3
Jiebo Luo	3
Yihao Feng	3
Anran Li	2
Chang‐Kyu Song	2
Hanxiong Chen	2
Yikun Xian	2
Anish Prabhakar	2
Huan Wang	2
Abdeslam Boularias	2
Yang Liu	2
Yongjun Chen	2
Jianguo Zhang	2
Ran Xu	2
Ming Zhu	2
Huan Wang	1
Zixian Ma	1
Tian Lan	1
Yujie Ren	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Counterfactual Explainable Recommendation	2021	Juntao Tan Shuyuan Xu Yingqiang Ge Yunqi Li Chen Xu Yongfeng Zhang	6
+ PDF Chat	Explainable Recommendation: A Survey and New Perspectives	2020	Yongfeng Zhang Xu Chen	6
+ PDF Chat	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning	2022	Juntao Tan Shijie Geng Zuohui Fu Yingqiang Ge Shuyuan Xu Yunqi Li Yongfeng Zhang	6
+	Causal Collaborative Filtering	2023	Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang	5
+ PDF Chat	PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems	2020	Azin Ghazimatin Oana Balalau Rishiraj Saha Gerhard Weikum	5
+	Counterfactual Visual Explanations	2019	Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee	4
+ PDF Chat	Explainable Recommendation: A Survey and New Perspectives	2020	Yongfeng Zhang Xu Chen	4
+	Explainable Recommendation via Multi-Task Learning in Opinionated Text Data	2018	Nan Wang Hongning Wang Yiling Jia Yue Yin	4
+ PDF Chat	Personalized Prompt Learning for Explainable Recommendation	2023	Lei Li Yongfeng Zhang Li Chen	4
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	4
+	Towards Personalized Fairness based on Causal Notion	2021	Yunqi Li Hanxiong Chen Shuyuan Xu Yingqiang Ge Yongfeng Zhang	4
+ PDF Chat	Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation	2018	Qingyao Ai Vahid Azizi Xu Chen Yongfeng Zhang	4
+ PDF Chat	Counterfactual Explanations for Neural Recommenders	2021	Khanh Hiep Tran Azin Ghazimatin Rishiraj Saha Roy	4
+	A Survey on Trustworthy Recommender Systems	2022	Yingqiang Ge Shuchang Liu Zuohui Fu Juntao Tan Zelong Li Shuyuan Xu Yunqi Li Yikun Xian Yongfeng Zhang	4
+ PDF Chat	Faithfully Explainable Recommendation via Neural Logic Reasoning	2021	Yaxin Zhu Yikun Xian Zuohui Fu Gerard de Melo Yongfeng Zhang	4
+	Personalized Transformer for Explainable Recommendation	2021	Lei Li Yongfeng Zhang Li Chen	4
+ PDF Chat	Self-Attentive Sequential Recommendation	2018	Wang-Cheng Kang Julian McAuley	4
+ PDF Chat	Neural Collaborative Reasoning	2021	Hanxiong Chen Shaoyun Shi Yunqi Li Yongfeng Zhang	4
+ PDF Chat	Causal embeddings for recommendation	2018	Stephen Bonner Flavian Vasile	3
+ PDF Chat	Towards Long-term Fairness in Recommendation	2021	Yingqiang Ge Shuchang Liu Ruoyuan Gao Yikun Xian Yunqi Li Xiangyu Zhao Changhua Pei Fei Sun Junfeng Ge Wenwu Ou	3
+ PDF Chat	Reinforcement Knowledge Graph Reasoning for Explainable Recommendation	2019	Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo Yongfeng Zhang	3
+	Generate Natural Language Explanations for Recommendation	2021	Hanxiong Chen Xu Chen Shaoyun Shi Yongfeng Zhang	3
+	Try This Instead: Personalized and Interpretable Substitute Recommendation	2020	Tong Chen Hongzhi Yin Guanhua Ye Zi Huang Yang Wang Meng Wang	3
+ PDF Chat	Fairness-Aware Explainable Recommendation over Knowledge Graphs	2020	Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang Yingqiang Ge Shuyuan Xu Shijie Geng Chirag Shah Yongfeng Zhang	3
+ PDF Chat	S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization	2020	Kun Zhou Hui Wang Wayne Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang Ji-Rong Wen	3
+	Session-based Recommendations with Recurrent Neural Networks	2015	Balázs Hidasi Alexandros Karatzoglou Linas Baltrunas Domonkos Tikk	3
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	3
+ PDF Chat	Top-N Recommendation with Counterfactual User Preference Simulation	2021	Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang	3
+ PDF Chat	Explainable Fairness in Recommendation	2022	Yingqiang Ge Juntao Tan Zhu Yan Yinglong Xia Jiebo Luo Shuchang Liu Zuohui Fu Shijie Geng Zelong Li Yongfeng Zhang	3
+	Explaining machine learning classifiers through diverse counterfactual explanations	2020	Ramaravind Kommiya Mothilal Amit Sharma Chenhao Tan	3
+ PDF Chat	Clustering and feature selection using sparse principal component analysis	2008	Ronny Luss Alexandre d’Aspremont	2
+	XGNN: Towards Model-Level Explanations of Graph Neural Networks	2020	Hao Yuan Jiliang Tang Xia Hu Shuiwang Ji	2
+ PDF Chat	Understanding Echo Chambers in E-commerce Recommender Systems	2020	Yingqiang Ge Shuya Zhao Honglu Zhou Changhua Pei Fei Sun Wenwu Ou Yongfeng Zhang	2
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	2
+ PDF Chat	Team Delft’s Robot Winner of the Amazon Picking Challenge 2016	2017	Carlos Hernández Mukunda Bharatheesha Wilson Ko Hans Gaiser Jethro Tan Kanter van Deurzen Maarten de Vries Bas Van Mil Jeff van Egmond Ruben Burger	2
+ PDF Chat	Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms	2020	Wayne Xin Zhao Junhua Chen Pengfei Wang Qi Gu Ji-Rong Wen	2
+	Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases	2020	Senthil Purushwalkam Abhinav Gupta	2
+	The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation	2020	Himan Abdollahpouri Masoud Mansoury Robin Burke Bamshad Mobasher	2
+	Counterfactual Explanations for Machine Learning: A Review.	2020	Sahil Verma John P. Dickerson Keegan Hines	2
+ PDF Chat	Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding	2018	Jiaxi Tang Ke Wang	2
+	Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects	2019	Chaitanya Mitash Bowen Wen Kostas E. Bekris Abdeslam Boularias	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+ PDF Chat	Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback	2020	Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata	2
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	2
+ PDF Chat	Unsupervised learning from videos using temporal coherency deep networks	2018	Carolina Redondo-Cabrera Roberto J. López-Sastre	2
+ PDF Chat	Neural Rating Regression with Abstractive Tips Generation for Recommendation	2017	Piji Li Zihao Wang Zhaochun Ren Lidong Bing Wai Lam	2
+ PDF Chat	Unsupervised Learning of Action Classes With Continuous Temporal Embedding	2019	Anna Kukleva Hilde Kuehne Fadime Şener Jürgen Gall	2
+	Self-Supervised Learning of Video-Induced Visual Invariances	2019	Michael Tschannen Josip Djolonga Marvin Ritter Aravindh Mahendran Xiaohua Zhai Neil Houlsby Sylvain Gelly Mario Lučić	2
+ PDF Chat	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation	2020	Raha Moraffah Mansooreh Karami Ruocheng Guo Adrienne Raglin Huan Liu	2