Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval. - Zhenfang Chen; Zhanghui Kuang; Kwan-Yee K. Wong; Wei Zhang 010 (ACM Multimedia (Thematic Workshops), 2017)

Boosting up Scene Text Detectors with Guided CNN. - Xiaoyu Yue; Zhanghui Kuang; Zhaoyang Zhang 004; Zhenfang Chen; Pan He; Yu Qiao 001; Wei Zhang 010 (BMVC, 2018)

Design and Fabrication of a Piezoelectric Micromachined Ultrasonic Transducer Array Based on Ceramic PZT. - Haoran Wang; Yuanyuan Yu; Zhenfang Chen; Hao Yang; Huabei Jiang; Huikai Xie (IEEE SENSORS, 2018)

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video. - Zhenfang Chen; Lin Ma 002; Wenhan Luo; Kwan-Yee Kenneth Wong (ACL (1), 2019)

Learning Local Similarity with Spatial Relations for Object Retrieval. - Zhenfang Chen; Zhanghui Kuang; Wayne Zhang 001; Kwan-Yee K. Wong (ACM Multimedia, 2019)

Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension. - Zhenfang Chen; Peng Wang 023; Lin Ma 002; Kwan-Yee K. Wong; Qi Wu 001 (CVPR, 2020)

Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video. - Zhenfang Chen; Lin Ma 002; Wenhan Luo; Peng Tang; Kwan-Yee K. Wong (CoRR, 2020)

SneezeLove: Embodying Cultural Superstitions in Connected Devices. - Malika Khurana; Zhenfang Chen; Daragh Byrne; Yang Bai (Conference on Designing Interactive Systems, 2021)

The Blessings of Unlabeled Background in Untrimmed Videos. - Yuan Liu 002; Jingyuan Chen; Zhenfang Chen; Bing Deng; Jianqiang Huang; Hanwang Zhang (CVPR, 2021)

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. - Zhenfang Chen; Jiayuan Mao; Jiajun Wu 001; Kwan-Yee Kenneth Wong; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2021)

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. - Mingyu Ding; Zhenfang Chen; Tao Du 001; Ping Luo 002; Josh Tenenbaum 001; Chuang Gan 001 (NeurIPS, 2021)

STAR: A Benchmark for Situated Reasoning in Real-World Videos. - Bo Wu 018; Shoubin Yu; Zhenfang Chen; Josh Tenenbaum 001; Chuang Gan 001 (NeurIPS Datasets and Benchmarks, 2021)

Spooky Technology: The ethereal and otherworldly as a resource for design. - Daragh Byrne; Dan Lockton; Meijie Hu; Miranda Luong; Anuprita Ranade; Karen Escarcha; Katherine Giesa; Yiwei Huang; Catherine Yochum; Gordon Robertson; Lisa (Yip Yan) Yeung; Matthew Cruz; et al. (Conference on Designing Interactive Systems, 2022)

Google Home, Listen: Building Helper Intelligences for Non-Verbal Sound. - Zhenfang Chen; Daragh Byrne; Dina EL-Zanfaly (Creativity & Cognition, 2022)

Memory Portal: Investigating Data Meaning-making through Spatio-temporal Experiences. - Dina EL-Zanfaly; Zhenfang Chen; Amrita Khoshoo; Rachel Ann Arredondo; Isabel Ngan; Christianne Francovich (CHI Extended Abstracts, 2022)

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. - Mingyu Ding; Yan Xu; Zhenfang Chen; David Daniel Cox; Ping Luo 002; Joshua B. Tenenbaum; Chuang Gan 001 (CoRL, 2022)

PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo. - Wenqi Yang; Guanying Chen; Chaofeng Chen; Zhenfang Chen; Kwan-Yee K. Wong (ECCV (1), 2022)

A Unified Framework for Masked and Mask-Free Face Recognition Via Feature Rectification. - Shaozhe Hao; Chaofeng Chen; Zhenfang Chen; Kwan-Yee K. Wong (ICIP, 2022)

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. - Zhenfang Chen; Kexin Yi; Yunzhu Li; Mingyu Ding; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2022)

S3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint. - Wenqi Yang; Guanying Chen; Chaofeng Chen; Zhenfang Chen; Kwan-Yee K. Wong (NeurIPS, 2022)

Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan 001 (CoRR, 2022)

Just Listen: Prototyping with TinyML to Augment Everyday Sound - Zhenfang Chen (2022)

Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. - Zitian Chen; Yikang Shen; Mingyu Ding; Zhenfang Chen; Hengshuang Zhao; Erik G. Learned-Miller; Chuang Gan 001 (CVPR, 2023)

Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. - Mingyu Ding; Yikang Shen; Lijie Fan; Zhenfang Chen; Zitian Chen; Ping Luo 002; Joshua B. Tenenbaum; Chuang Gan 001 (CVPR, 2023)

3D Concept Learning and Reasoning from Multi-View Images. - Yining Hong; Chunru Lin; Yilun Du; Zhenfang Chen; Joshua B. Tenenbaum; Chuang Gan 001 (CVPR, 2023)

Sparse Universal Transformer. - Shawn Tan; Yikang Shen; Zhenfang Chen; Aaron C. Courville; Chuang Gan 001 (EMNLP, 2023)

TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. - Chengyang Zhao; Yikang Shen; Zhenfang Chen; Mingyu Ding; Chuang Gan 001 (ICCV, 2023)

Planning with Large Language Models for Code Generation. - Shun Zhang; Zhenfang Chen; Yikang Shen; Mingyu Ding; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2023)

3D-LLM: Injecting the 3D World into Large Language Models. - Yining Hong; Haoyu Zhen; Peihao Chen; Shuhong Zheng; Yilun Du; Zhenfang Chen; Chuang Gan 001 (NeurIPS, 2023)

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. - Zhiqing Sun; Yikang Shen; Qinhong Zhou; Hongxin Zhang; Zhenfang Chen; David D. Cox; Yiming Yang; Chuang Gan 001 (NeurIPS, 2023)

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. - Hsiao-Yu Tung; Mingyu Ding; Zhenfang Chen; Daniel Bear; Chuang Gan 001; Josh Tenenbaum 001; Dan Yamins; Judith E. Fan; Kevin A. Smith 001 (NeurIPS, 2023)

Augmenting Welding Training: An XR Platform to Foster Muscle Memory and Mindfulness for Skills Development. - Tate Johnson; Ann Li; Andrew Knowles; Zhenfang Chen; Semina Yi; Yumeng Zhuang; Dina El-Zanfaly; Daragh Byrne (ISS Companion, 2023)

See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning. - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Hao Zhang; Chuang Gan 001 (CoRR, 2023)

ModuleFormer: Learning Modular Large Language Models From Uncurated Data. - Yikang Shen; Zheyu Zhang; Tianyou Cao; Shawn Tan; Zhenfang Chen; Chuang Gan 001 (CoRR, 2023)

SALMON: Self-Alignment with Principle-Following Reward Models. - Zhiqing Sun; Yikang Shen; Hongxin Zhang; Qinhong Zhou; Zhenfang Chen; David D. Cox; Yiming Yang; Chuang Gan 001 (CoRR, 2023)

Deep Face Video Inpainting via UV Mapping. - Wenqi Yang; Zhenfang Chen; Chaofeng Chen; Guanying Chen; Kwan-Yee K. Wong (IEEE Trans. Image Process., 2023)

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Zhiqing Sun; Dan Gutfreund; Chuang Gan 001 (AAAI, 2024)

SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. - Andong Wang; Bo Wu 018; Sunli Chen; Zhenfang Chen; Haotian Guan; Wei-Ning Lee; Li Erran Li; Chuang Gan 001 (CVPR, 2024)

FlexAttention for Efficient High-Resolution Vision-Language Models. - Junyan Li; Delin Chen; Tianle Cai; Peihao Chen; Yining Hong; Zhenfang Chen; Yikang Shen; Chuang Gan 001 (ECCV (25), 2024)

GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules. - Zhenfang Chen; Rui Sun; Wenjun Liu; Yining Hong; Chuang Gan 001 (ICLR, 2024)

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding. - Junyan Li; Delin Chen; Yining Hong; Zhenfang Chen; Peihao Chen; Yikang Shen; Chuang Gan 001 (ICLR, 2024)

SALMON: Self-Alignment with Instructable Reward Models. - Zhiqing Sun; Yikang Shen; Hongxin Zhang; Qinhong Zhou; Zhenfang Chen; David Daniel Cox; Yiming Yang; Chuang Gan 001 (ICLR, 2024)

ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. - Zhicheng Zheng; Xin Yan 008; Zhenfang Chen; Jingzhou Wang; Qin Zhi Eddie Lim; Joshua B. Tenenbaum; Chuang Gan 001 (ICML, 2024)

XRweld: An In-Situ Extended Reality Platform for Welding Education. - Tate Johnson; Ann Li; Andrew Knowles; Zhenfang Chen; Semina Yi; Yumeng Zhuang; Man To Tang; Daragh Byrne; Dina El-Zanfaly (SIGGRAPH Immersive Pavilion, 2024)

Augmenting Embodied Learning in Welding Training: The Co-Design of an XR- and tinyML-Enabled Welding System for Creative Arts and Manufacturing Training. - Zhenfang Chen; Tate Johnson; Andrew Knowles; Ann Li; Semina Yi; Yumeng Zhuang; Daragh Byrne; Dina El-Zanfaly (TEI, 2024)

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble. - Shun Zhang; Zhenfang Chen; Sunli Chen; Yikang Shen; Zhiqing Sun; Chuang Gan 001 (CoRR, 2024)

Scene-agnostic Pose Regression for Visual Localization. - Junwei Zheng; Ruiping Liu 001; Yufan Chen 001; Zhenfang Chen; Kailun Yang 001; Jiaming Zhang 001; Rainer Stiefelhagen (CVPR, 2025)

Scaling Autonomous Agents via Automatic Reward Modeling And Planning. - Zhenfang Chen; Delin Chen; Rui Sun; Wenjun Liu; Chuang Gan 001 (ICLR, 2025)

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search. - Maohao Shen; Guangtao Zeng; Zhenting Qi; Zhang-Wei Hong; Zhenfang Chen; Wei Lu; Gregory W. Wornell; Subhro Das; David Cox; Chuang Gan 001 (CoRR, 2025)

Compositional Physical Reasoning of Objects and Events From Videos. - Zhenfang Chen; Shilong Dong; Kexin Yi; Yunzhu Li; Mingyu Ding; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)