Xiong, Jinjun

25 publications

IJCAI 2025 Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework Yuting Hu, Dancheng Liu, Qingyun Wang, Charles Yu, Chenhui Xu, Qingxiao Zheng, Heng Ji, Jinjun Xiong

NeurIPS 2025 FP64 Is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks Chenhui Xu, Dancheng Liu, Amir Nassereldine, Jinjun Xiong

ICLR 2025 Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data Jiajie Li, Brian R Quaranto, Chenhui Xu, Ishan Mishra, Ruiyang Qin, Dancheng Liu, Peter C W Kim, Jinjun Xiong

ICML 2025 Sub-Sequential Physics-Informed Learning with State Space Model Chenhui Xu, Dancheng Liu, Yuting Hu, Jiajie Li, Ruiyang Qin, Qingxiao Zheng, Jinjun Xiong

TMLR 2024 Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach Yue Wang, Jinjun Xiong, Shaofeng Zou

NeurIPS 2024 Infinite-Dimensional Feature Interaction Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen

ICCV 2023 Extensible and Efficient Proxy for Neural Architecture Search Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen

NeurIPS 2023 SyncTREE: Fast Timing Analysis for Integrated Circuit Design Through a Physics-Informed Tree-Based Graph Neural Network Yuting Hu, Jiajie Li, Florian Klemme, Gi-Joon Nam, Tengfei Ma, Hussam Amrouch, Jinjun Xiong

ICML 2022 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

ICLR 2022 How Unlabeled Data Improve Generalization in Self-Training? a One-Hidden-Layer Theoretical Analysis Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

NeurIPS 2021 Generic Neural Architecture Search via Regression Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen

ICML 2021 Global Prosody Style Transfer Without Text Transcriptions Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David Cox, Mark Hasegawa-Johnson

ICCV 2021 Interpretable Visual Reasoning via Induced Symbolic Space Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi

CVPRW 2021 Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi

NeurIPS 2021 Why Lottery Ticket Wins? a Theoretical Perspective of Sample Complexity on Sparse Neural Networks Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

CVPRW 2020 Alleviating Semantic-Level Shift: A Semi-Supervised Domain Adaptation Method for Semantic Segmentation Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi

ICML 2020 Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-Hidden-Layer Case Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong

ECCV 2020 Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang

CVPRW 2020 Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi

ICLR 2019 On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks Yukun Ding, Jinglan Liu, Jinjun Xiong, Yiyu Shi

AAAI 2019 SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi

ECCV 2018 Revisiting RCNN: On Awakening the Classification Power of Faster RCNN Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, Jinjun Xiong, Thomas Huang

ECCV 2018 TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas Huang

CVPRW 2018 The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues Michele Merler, Dhiraj Joshi, Khoi-Nguyen C. Mac, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris

NeurIPS 2017 Interpretable and Globally Optimal Prediction for Textual Grounding Using Image Concepts Raymond Yeh, Jinjun Xiong, Wen-Mei Hwu, Minh Do, Alexander Schwing