Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. - Jianguo Zhang 005; Ji Wang 002; Lifang He 001; Zhao Li 007; Philip S. Yu (ICDM, 2018)

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. - Ji Wang 002; Jianguo Zhang 005; Weidong Bao 001; Xiaomin Zhu 001; Bokai Cao; Philip S. Yu (KDD, 2018)

Product Title Refinement via Multi-Modal Generative Adversarial Learning. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Ye Liu 006; Xiuming Pan; Yu Gong; Philip S. Yu (CoRR, 2018)

Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. - Jianguo Zhang 005; Pengcheng Zou; Zhao Li 007; Yao Wan 001; Xiuming Pan; Yu Gong; Philip S. Yu (NAACL-HLT (2), 2019)

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. - Jian-Guo Zhang 005; Kazuma Hashimoto; Wenhao Liu 003; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (EMNLP (1), 2020)

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. - Jian-Guo Zhang 005; Kazuma Hashimoto; Chien-Sheng Wu; Yao Wan 001; Philip S. Yu; Richard Socher; Caiming Xiong (*SEM@COLING, 2020)

MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines. - Xiaoxue Zang; Abhinav Rastogi; Srinivas Sunkara; Raghav Gupta; Jianguo Zhang 005; Jindong Chen (CoRR, 2020)

NaturalCC: A Toolkit to Naturalize the Source Code Corpus. - Yao Wan 001; Yang He; Jianguo Zhang 005; Yulei Sui; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (CoRR, 2020)

Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (EACL, 2021)

HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. - Ye Liu 006; Jian-Guo Zhang 005; Yao Wan 001; Congying Xia; Lifang He 001; Philip S. Yu (EMNLP (1), 2021)

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. - Jian-Guo Zhang 005; Trung Bui; Seunghyun Yoon 002; Xiang Chen; Zhiwei Liu 001; Congying Xia; Quan Hung Tran; Walter Chang; Philip S. Yu (EMNLP (1), 2021)

Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. - Ye Liu 006; Yao Wan 001; Jian-Guo Zhang 005; Wenting Zhao 006; Philip S. Yu (CoRR, 2021)

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (CoRR, 2021)

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. - Jianguo Zhang 005; Kazuma Hashimoto; Yao Wan 001; Zhiwei Liu 001; Ye Liu 006; Caiming Xiong; Philip S. Yu (ConvAI@ACL, 2022)

NaturalCC: An Open-Source Toolkit for Code Intelligence. - Yao Wan 001; Yang He; Zhangqian Bi; Jianguo Zhang 005; Yulei Sui; Hongyu Zhang 002; Kazuma Hashimoto; Hai Jin 001; Guandong Xu; Caiming Xiong; Philip S. Yu (ICSE-Companion, 2022)

Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation. - Rui Meng; Ye Liu 006; Semih Yavuz; Divyansh Agarwal; Lifu Tu; Ning Yu; Jianguo Zhang 005; Meghana Bhat; Yingbo Zhou (CoRR, 2022)

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. - Ziwei Fan 001; Zhiwei Liu 001; Shelby Heinecke; Jianguo Zhang 005; Huan Wang 016; Caiming Xiong; Philip S. Yu (CIKM, 2023)

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. - Yihao Feng; Shentao Yang; Shujian Zhang; Jianguo Zhang 005; Caiming Xiong; Mingyuan Zhou; Huan Wang 014 (ICLR, 2023)

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. - Jianguo Zhang 005; Stephen Roller; Kun Qian 016; Zhiwei Liu 001; Rui Meng; Shelby Heinecke; Huan Wang 014; Silvio Savarese; Caiming Xiong (SIGDIAL, 2023)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. - Weiran Yao; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Yihao Feng; Le Xue; Rithesh Murthy; Zeyuan Chen 001; Jianguo Zhang 005; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. - Zhiwei Liu 001; Weiran Yao; Jianguo Zhang 005; Le Xue; Shelby Heinecke; Rithesh Murthy; Yihao Feng; Zeyuan Chen 001; Juan Carlos Niebles; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 2023)

DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation. - Yu Wang 158; Zhiwei Liu 001; Jianguo Zhang 005; Weiran Yao; Shelby Heinecke; Philip S. Yu (CoRR, 2023)

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. - Jianguo Zhang 005; Kun Qian 016; Zhiwei Liu 001; Shelby Heinecke; Rui Meng; Ye Liu 006; Zhou Yu 005; Huan Wang 014; Silvio Savarese; Caiming Xiong (EACL (Findings), 2024)

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. - Weiran Yao; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Yihao Feng; Le Xue; Rithesh R. N.; Zeyuan Chen 001; Jianguo Zhang 005; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (ICLR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 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)

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)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

Personalized Multi-task Training for Recommender System. - Liangwei Yang; Zhiwei Liu 001; Jianguo Zhang 005; Rithesh Murthy; Shelby Heinecke; Huan Wang 016; Caiming Xiong; Philip S. Yu (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)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. - Yao Wan 001; Zhangqian Bi; Yang He; Jianguo Zhang 005; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001; Philip S. Yu (ACM Comput. Surv., 2024)

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)

APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay. - Akshara Prabhakar; Zuxin Liu; Ming Zhu; Jianguo Zhang 005; Tulika Awalgaonkar; Shiyu Wang; Zhiwei Liu 001; Haolin Chen; Thai Hoang; Juan Carlos Niebles; Shelby Heinecke; Weiran Yao; et al. (CoRR, 2025)

LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. - Thai Hoang; Kung-Hsiang Huang; Shirley Kokane; Jianguo Zhang 005; Zuxin Liu; Ming Zhu; Jake Grigsby; Tian Lan 006; Michael S. Ryoo; Chien-Sheng Wu; Shelby Heinecke; Huan Wang 014; et al. (CoRR, 2025)

MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. - Zhiwei Liu 001; Jielin Qiu; Shiyu Wang; Jianguo Zhang 005; Zuxin Liu; Roshan Ram; Haolin Chen; Weiran Yao; Huan Wang 014; Shelby Heinecke; Silvio Savarese; Caiming Xiong (CoRR, 2025)

UserBench: An Interactive Gym Environment for User-Centric Agents. - Cheng Qian 008; Zuxin Liu; Akshara Prabhakar; Zhiwei Liu 001; Jianguo Zhang 005; Haolin Chen; Heng Ji 001; Weiran Yao; Shelby Heinecke; Silvio Savarese; Caiming Xiong; Huan Wang 014 (CoRR, 2025)