Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules. - Xiuhua Guo; Xiangye Liu; Huan Wang 014; Zhigang Liang; Wei Wu; Qian He; Kuncheng Li; Wei Wang 118 (J. Digit. Imaging, 2011)

Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration. - Huan Wang 014; Qiming Zhang 001; Yuehai Wang; Roland Hu (CoRR, 2017)

Structured Probabilistic Pruning for Convolutional Neural Network Acceleration. - Huan Wang 014; Qiming Zhang 001; Yuehai Wang; Haoji Hu (BMVC, 2018)

Concise Convolutional Neural Network for Crowd Counting. - Feifei Tong; Zhaoyang Zhang; Huan Wang 014; Yuehai Wang (ICAIT, 2018)

Structured Deep Neural Network Pruning by Varying Regularization Parameters. - Huan Wang 014; Qiming Zhang 001; Yuehai Wang; Roland Hu (CoRR, 2018)

Identifying Generalization Properties in Neural Networks. - Huan Wang 014; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2018)

Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method. - Yuxin Zhang; Huan Wang 014; Yang Luo; Roland Hu (CoRR, 2018)

Structured Pruning for Efficient ConvNets via Incremental Regularization. - Huan Wang 014; Qiming Zhang 001; Yuehai Wang; Haoji Hu (CoRR, 2018)

Three-Dimensional Convolutional Neural Network Pruning with Regularization-Based Method. - Yuxin Zhang; Huan Wang 014; Yang Luo; Lu Yu 003; Haoji Hu; Hangguan Shan; Tony Q. S. Quek (ICIP, 2019)

On the Generalization Gap in Reparameterizable Reinforcement Learning. - Huan Wang 014; Stephan Zheng; Caiming Xiong; Richard Socher (ICML, 2019)

Structured Pruning for Efficient ConvNets via Incremental Regularization. - Huan Wang 014; Qiming Zhang 001; Yuehai Wang; Lu Yu 003; Haoji Hu (IJCNN, 2019)

Triplet Distillation for Deep Face Recognition. - Yushu Feng; Huan Wang 014; Daniel T. Yi; Roland Hu (CoRR, 2019)

Global Capacity Measures for Deep ReLU Networks via Path Sampling. - Ryan Theisen; Jason M. Klusowski; Huan Wang 014; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (CoRR, 2019)

Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. - Linqing Liu; Huan Wang 014; Jimmy Lin; Richard Socher; Caiming Xiong (CoRR, 2019)

Assessing Local Generalization Capability in Deep Models. - Huan Wang 014; Nitish Shirish Keskar; Caiming Xiong; Richard Socher (AISTATS, 2020)

Collaborative Distillation for Ultra-Resolution Universal Style Transfer. - Huan Wang 014; Yijun Li 001; Yuehai Wang; Haoji Hu; Ming-Hsuan Yang 001 (CVPR, 2020)

Triplet Distillation For Deep Face Recognition. - Yushu Feng; Huan Wang 014; Haoji Roland Hu; Lu Yu 003; Wei Wang 118; Shiyan Wang (ICIP, 2020)

Towards Understanding Hierarchical Learning: Benefits of Neural Representations. - Minshuo Chen; Yu Bai 017; Jason D. Lee; Tuo Zhao; Huan Wang 014; Caiming Xiong; Richard Socher (NeurIPS, 2020)

Opposite Structure Learning for Semi-supervised Domain Adaptation. - Can Qin; Lichen Wang; Qianqian Ma; Yu Yin 001; Huan Wang 014; Yun Fu 001 (CoRR, 2020)

Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. - Yu Bai 017; Ben Krause; Huan Wang 014; Caiming Xiong; Richard Socher (CoRR, 2020)

Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. - Devansh Arpit; Huan Wang 014; Caiming Xiong; Richard Socher; Yoshua Bengio (CoRR, 2020)

Knowledge Distillation Thrives on Data Augmentation. - Huan Wang 014; Suhas Lohit; Michael Jones 002; Yun Fu 001 (CoRR, 2020)

Multi-head Knowledge Distillation for Model Compression. - Huan Wang 014; Suhas Lohit; Michael Jones 002; Yun Fu 001 (CoRR, 2020)

Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization. - Huan Wang 014; Xinyi Hu; Qiming Zhang 001; Yuehai Wang; Lu Yu 003; Haoji Hu (IEEE J. Sel. Top. Signal Process., 2020)

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. - Wenpeng Yin 001; Huan Wang 014; Jin Qu; Caiming Xiong (ACL/IJCNLP (Findings), 2021)

Context Reasoning Attention Network for Image Super-Resolution. - Yulun Zhang 001; Donglai Wei 001; Can Qin; Huan Wang 014; Hanspeter Pfister; Yun Fu 001 (ICCV, 2021)

Neural Pruning via Growing Regularization. - Huan Wang 014; Can Qin; Yulun Zhang 001; Yun Fu 001 (ICLR, 2021)

How Important is the Train-Validation Split in Meta-Learning? - Yu Bai 017; Minshuo Chen; Pan Zhou 002; Tuo Zhao; Jason D. Lee; Sham M. Kakade; Huan Wang 014; Caiming Xiong (ICML, 2021)

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. - Yu Bai 017; Song Mei; Huan Wang 014; Caiming Xiong (ICML, 2021)

Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. - Stanislaw Jastrzebski; Devansh Arpit; Oliver Åstrand; Giancarlo Kerg; Huan Wang 014; Caiming Xiong; Richard Socher; Kyunghyun Cho; Krzysztof J. Geras (ICML, 2021)

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. - Yu Bai 017; Chi Jin 001; Huan Wang 014; Caiming Xiong (NeurIPS, 2021)

Understanding the Under-Coverage Bias in Uncertainty Estimation. - Yu Bai 017; Song Mei; Huan Wang 014; Caiming Xiong (NeurIPS, 2021)

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. - Can Qin; Handong Zhao; Lichen Wang; Huan Wang 014; Yulun Zhang 001; Yun Fu 001 (NeurIPS, 2021)

Evaluating State-of-the-Art Classification Models Against Bayes Optimality. - Ryan Theisen; Huan Wang 014; Lav R. Varshney; Caiming Xiong; Richard Socher (NeurIPS, 2021)

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. - Tengyang Xie; Nan Jiang 008; Huan Wang 014; Caiming Xiong; Yu Bai 017 (NeurIPS, 2021)

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. - Yulun Zhang 001; Huan Wang 014; Can Qin; Yun Fu 001 (NeurIPS, 2021)

Contradictory Structure Learning for Semi-supervised Domain Adaptation. - Can Qin; Lichen Wang; Qianqian Ma; Yu Yin 001; Huan Wang 014; Yun Fu 001 (SDM, 2021)

Localized Calibration: Metrics and Recalibration. - Rachel Luo; Aadyot Bhatnagar; Huan Wang 014; Caiming Xiong; Silvio Savarese; Yu Bai 017; Shengjia Zhao; Stefano Ermon (CoRR, 2021)

Emerging Paradigms of Neural Network Pruning. - Huan Wang 014; Can Qin; Yulun Zhang 001; Yun Fu 001 (CoRR, 2021)

Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. - Huan Wang 014; Can Qin; Yue Bai; Yun Fu 001 (CoRR, 2021)

Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Yi Xu 005; Huan Wang 014; Yulun Zhang 001; Yun Fu 001 (CoRR, 2021)

Merlion: A Machine Learning Library for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (CoRR, 2021)

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. - Huan Wang 014; Jian Ren 005; Zeng Huang; Kyle Olszewski; Menglei Chai; Yun Fu 001; Sergey Tulyakov (ECCV (31), 2022)

Efficient and Differentiable Conformal Prediction with General Function Classes. - Yu Bai 017; Song Mei; Huan Wang 014; Yingbo Zhou; Caiming Xiong (ICLR, 2022)

Dual Lottery Ticket Hypothesis. - Yue Bai; Huan Wang 014; Zhiqiang Tao; Kunpeng Li; Yun Fu 001 (ICLR, 2022)

Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. - Yulun Zhang 001; Huan Wang 014; Can Qin; Yun Fu 001 (ICLR, 2022)

Recent Advances on Neural Network Pruning at Initialization. - Huan Wang 014; Can Qin; Yue Bai; Yulun Zhang 001; Yun Fu 001 (IJCAI, 2022)

Parameter-Efficient Masking Networks. - Yue Bai; Huan Wang 014; Xu Ma 005; Yitian Zhang; Zhiqiang Tao; Yun Fu 001 (NeurIPS, 2022)

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective. - Huan Wang 014; Suhas Lohit; Michael J. Jones 001; Yun Fu 001 (NeurIPS, 2022)

Look More but Care Less in Video Recognition. - Yitian Zhang; Yue Bai; Huan Wang 014; Yi Xu 005; Yun Fu 001 (NeurIPS, 2022)

Policy Optimization for Markov Games: Unified Framework and Faster Convergence. - Runyu Zhang 001; Qinghua Liu; Huan Wang 014; Caiming Xiong; Na Li 002; Yu Bai 017 (NeurIPS, 2022)

Local calibration: metrics and recalibration. - Rachel Luo; Aadyot Bhatnagar; Yu Bai 017; Shengjia Zhao; Huan Wang 014; Caiming Xiong; Silvio Savarese; Stefano Ermon; Edward Schmerling; Marco Pavone 001 (UAI, 2022)

Converse: A Tree-Based Modular Task-Oriented Dialogue System. - Tian Xie; Xinyi Yang 002; Angela S. Lin; Feihong Wu; Kazuma Hashimoto; Jin Qu; Young Mo Kang; Wenpeng Yin 001; Huan Wang 014; Semih Yavuz; Gang Wu; Michael Jones 002; et al. (CoRR, 2022)

A Conversational Paradigm for Program Synthesis. - Erik Nijkamp; Bo Pang 004; Hiroaki Hayashi; Lifu Tu; Huan Wang 014; Yingbo Zhou; Silvio Savarese; Caiming Xiong (CoRR, 2022)

Trainability Preserving Neural Structured Pruning. - Huan Wang 014; Yun Fu 001 (CoRR, 2022)

Semi-Supervised Domain Adaptive Structure Learning. - Can Qin; Lichen Wang; Qianqian Ma; Yu Yin 001; Huan Wang 014; Yun Fu 001 (IEEE Trans. Image Process., 2022)

Real-Time Neural Light Field on Mobile Devices. - Junli Cao; Huan Wang 014; Pavlo Chemerys; Vladislav Shakhrai; Ju Hu; Yun Fu 001; Denys Makoviichuk; Sergey Tulyakov; Jian Ren 005 (CVPR, 2023)

Frame Flexible Network. - Yitian Zhang; Yue Bai; Chang Liu 022; Huan Wang 014; Sheng Li 001; Yun Fu 001 (CVPR, 2023)

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. - Jiamian Wang; Huan Wang 014; Yulun Zhang 001; Yun Fu 001; Zhiqiang Tao (ICCV, 2023)

Momentum is All You Need for Data-Driven Adaptive Optimization. - Yizhou Wang 006; Yue Kang 002; Can Qin; Huan Wang 014; Yi Xu 005; Yulun Zhang 001; Yun Fu 001 (ICDM, 2023)

Image as Set of Points. - Xu Ma 005; Yuqian Zhou; Huan Wang 014; Can Qin; Bin Sun 002; Chang Liu 022; Yun Fu 001 (ICLR, 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)

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. - Erik Nijkamp; Bo Pang 004; Hiroaki Hayashi; Lifu Tu; Huan Wang 014; Yingbo Zhou; Silvio Savarese; Caiming Xiong (ICLR, 2023)

Trainability Preserving Neural Pruning. - Huan Wang 014; Yun Fu 001 (ICLR, 2023)

Improved Online Conformal Prediction via Strongly Adaptive Online Learning. - Aadyot Bhatnagar; Huan Wang 014; Caiming Xiong; Yu Bai 017 (ICML, 2023)

Lower Bounds for Learning in Revealing POMDPs. - Fan Chen 006; Huan Wang 014; Caiming Xiong; Song Mei; Yu Bai 017 (ICML, 2023)

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. - Yu Bai 017; Fan Chen 006; Huan Wang 014; Caiming Xiong; Song Mei (NeurIPS, 2023)

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. - Yanyu Li; Huan Wang 014; Qing Jin; Ju Hu; Pavlo Chemerys; Yun Fu 001; Yanzhi Wang; Sergey Tulyakov; Jian Ren 005 (NeurIPS, 2023)

Latent Graph Inference with Limited Supervision. - Jianglin Lu; Yi Xu 005; Huan Wang 014; Yue Bai; Yun Fu 001 (NeurIPS, 2023)

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. - Can Qin; Shu Zhang 007; Ning Yu 006; Yihao Feng; Xinyi Yang 002; Yingbo Zhou; Huan Wang 014; Juan Carlos Niebles; Caiming Xiong; Silvio Savarese; Stefano Ermon; Yun Fu 001; et al. (NeurIPS, 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)

Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. - Devansh Arpit; Matthew Fernandez; Chenghao Liu; Weiran Yao; Wenzhuo Yang; Paul Josel; Shelby Heinecke; Eric Hu; Huan Wang 014; Stephen C. H. Hoi; Caiming Xiong; Kun Zhang 001; et al. (CoRR, 2023)

On the Unlikelihood of D-Separation. - Itai Feigenbaum; Huan Wang 014; Shelby Heinecke; Juan Carlos Niebles; Weiran Yao; Caiming Xiong; Devansh Arpit (CoRR, 2023)

REX: Rapid Exploration and eXploitation for AI Agents. - Rithesh Murthy; Shelby Heinecke; Juan Carlos Niebles; Zhiwei Liu 001; Le Xue; Weiran Yao; Yihao Feng; Zeyuan Chen 001; Akash Gokul; Devansh Arpit; Ran Xu 001; Phil Mui; et al. (CoRR, 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)

Merlion: End-to-End Machine Learning for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (J. Mach. Learn. Res., 2023)

Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. - Huan Wang 014; Yulun Zhang 001; Can Qin; Luc Van Gool; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Personalized Multi-task Training for Recommender System. - Liangwei Yang; Zhiwei Liu; Jianguo Zhang; Rithesh Murthy; Shelby Heinecke; Huan Wang 014; Caiming Xiong; Philip S. Yu (IEEE Big Data, 2024)

Causal Layering via Conditional Entropy. - Itai Feigenbaum; Devansh Arpit; Shelby Heinecke; Juan Carlos Niebles; Weiran Yao; Caiming Xiong; Silvio Savarese; Huan Wang 014 (CLeaR, 2024)

HIVE: Harnessing Human Feedback for Instructional Visual Editing. - Shu Zhang 007; Xinyi Yang 002; Yihao Feng; Can Qin; Chia-Chih Chen; Ning Yu 006; Zeyuan Chen 001; Huan Wang 014; Silvio Savarese; Stefano Ermon; Caiming Xiong; Ran Xu 001 (CVPR, 2024)

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)

A Simple Low-Bit Quantization Framework for Video Snapshot Compressive Imaging. - Miao Cao; Lishun Wang; Huan Wang 014; Xin Yuan 002 (ECCV (52), 2024)

xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. - Can Qin; Congying Xia; Krithika Ramakrishnan; Michael S. Ryoo; Lifu Tu; Yihao Feng; Manli Shu; Honglu Zhou; Anas Awadalla; Jun Wang 090; Senthil Purushwalkam; Le Xue; et al. (ECCV Workshops (5), 2024)

LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field. - Huan Wang 014; Feitong Tan; Ziqian Bai; Yinda Zhang 001; Shichen Liu; Qiangeng Xu; Menglei Chai; Anish Prabhu; Rohit Pandey; Sean Fanello; Zeng Huang; Yun Fu 001 (ECCV Workshops (11), 2024)

Coarse-Fine Spectral-Aware Deformable Convolution for Hyperspectral Image Reconstruction. - Jincheng Yang; Lishun Wang; Miao Cao; Huan Wang 014; Yinping Zhao; Xin Yuan 002 (ICIP, 2024)

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. - Tianyu Guo 004; Wei Hu; Song Mei; Huan Wang 014; Caiming Xiong; Silvio Savarese; Yu Bai 017 (ICLR, 2024)

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. - Jiacheng Guo; Minshuo Chen; Huan Wang 014; Caiming Xiong; Mengdi Wang; Yu Bai 017 (ICLR, 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)

Don't Judge by the Look: Towards Motion Coherent Video Representation. - Yitian Zhang; Yue Bai; Huan Wang 014; Yizhou Wang 006; Yun Fu 001 (ICLR, 2024)

Towards Real-time Video Compressive Sensing on Mobile Devices. - Miao Cao; Lishun Wang; Huan Wang 014; Guoqing Wang 001; Xin Yuan 002 (ACM Multimedia, 2024)

On the Unlikelihood of D-Separation. - Itai Feigenbaum; Devansh Arpit; Shelby Heinecke; Juan Carlos Niebles; Weiran Yao; Huan Wang 014; Caiming Xiong; Silvio Savarese (PGM, 2024)

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

Editing Arbitrary Propositions in LLMs without Subject Labels. - Itai Feigenbaum; Devansh Arpit; Huan Wang 014; Shelby Heinecke; Juan Carlos Niebles; Weiran Yao; Caiming Xiong; Silvio Savarese (CoRR, 2024)

Text2Data: Low-Resource Data Generation with Textual Control. - Shiyu Wang; Yihao Feng; Tian Lan 006; Ning Yu 006; Yu Bai 017; Ran Xu 001; Huan Wang 014; Caiming Xiong; Silvio Savarese (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)

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)

Accessing Vision Foundation Models at ImageNet-level Costs. - Yitian Zhang; Xu Ma 005; Yue Bai; Huan Wang 014; Yun Fu 001 (CoRR, 2024)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh Murthy; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; 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)

CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. - Kung-Hsiang Huang; Akshara Prabhakar; Sidharth Dhawan; Yixin Mao; Huan Wang 014; Silvio Savarese; Caiming Xiong; Philippe Laban; Chien-Sheng Wu (CoRR, 2024)

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding. - Haolin Chen; Yihao Feng; Zuxin Liu; Weiran Yao; Akshara Prabhakar; Shelby Heinecke; Ricky Ho; Phil Mui; Silvio Savarese; Caiming Xiong; Huan Wang 014 (CoRR, 2024)

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. - Zixian Ma; Jianguo Zhang; 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)

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

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh R. N.; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (ICLR, 2025)

Dynamic Token Reduction during Generation for Vision Language Models. - Xiaoyu Liang; Chaofeng Guan; Jiaying Lu 005; Huiyao Chen; Huan Wang 014; Haoji Hu (CoRR, 2025)

Boosting Large Language Models with Mask Fine-Tuning. - Mingyuan Zhang; Yue Bai; Huan Wang 014; Yizhou Wang 006; Qihua Dong; Yun Fu 001 (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)

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)