Xu, Jing

56 publications

ICLR 2026 Flow Caching for Autoregressive Video Generation Yuexiao Ma, Xuzhe Zheng, Jing Xu, Xiwei Xu, Feng Ling, Xiawu Zheng, Huafeng Kuang, Huixia Li, Xing Wang, Xuefeng Xiao, Fei Chao, Rongrong Ji

ICLR 2026 Hybrid Reinforcement: When Reward Is Sparse, Better to Be Dense Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E Weston, Ping Yu

ICLR 2026 QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models Jian Liu, Chunshi Wang, Song Guo, Haohan Weng, Zhen Zhou, Zhiqi Li, Jiaao Yu, Yiling Zhu, Jing Xu, Biwen Lei, Zhuo Chen, Chunchao Guo

ICLR 2026 RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-Penalization Zhaoning Yu, Zhaolun Su, Leitian Tao, Haozhu Wang, Aashu Singh, Hanchao Yu, Jianyu Wang, Hongyang Gao, Weizhe Yuan, Jason E Weston, Ping Yu, Jing Xu

ICLR 2026 Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database Weizhi Fei, Hao Shi, Jing Xu, Jingchen Peng, Jiazheng Li, Jingzhao Zhang, Bo Bai, Wei Han, Zhenyuan Chen, Xueyan Niu

NeurIPS 2025 Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization Guojingfeng, Jian Liu, Jinnan Chen, Shiwei Mao, Changrong Hu, Puhua Jiang, Junlin Yu, Jing Xu, Qi Liu, LiXin Xu, Zhuo Chen, Chunchao Guo

ICCV 2025 Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection Ji Du, Xin Wang, Fangwei Hao, Mingyang Yu, Chunyuan Chen, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li

AAAI 2025 CoPRA: Bridging Cross-Domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction Rong Han, Xiaohong Liu, Tong Pan, Jing Xu, Xiaoyu Wang, Wuyang Lan, Zhenyu Li, Zixuan Wang, Jiangning Song, Guangyu Wang, Ting Chen

IJCAI 2025 Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis Luan Zhang, Dandan Song, Zhijing Wu, Yuhang Tian, Changzhi Zhou, Jing Xu, Ziyi Yang, Shuhao Zhang

ICLRW 2025 Dp-Gpl: Differentially Private Graph Prompt Learning Jing Xu, Franziska Boenisch, Iyiola Emmanuel Olatunji, Adam Dziedzic

CVPR 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu

ICML 2025 Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Christopher A. Choquette-Choo, Adam Dziedzic

AAAI 2025 LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study Nan Zhuang, Boyu Cao, Yi Yang, Jing Xu, Mingda Xu, Yuxiao Wang, Qi Liu

NeurIPS 2025 Memorization in Graph Neural Networks Adarsh Jamadandi, Jing Xu, Adam Dziedzic, Franziska Boenisch

NeurIPS 2025 Mesh-RFT: Enhancing Mesh Generation via Fine-Grained Reinforcement Fine-Tuning Jian Liu, Jing Xu, Song Guo, Jing Li, Guojingfeng, Jiaao Yu, Haohan Weng, Biwen Lei, Xianghui Yang, Zhuo Chen, Fangqi Zhu, Tao Han, Chunchao Guo

ICML 2025 R.I.P.: Better Models by Survival of the Fittest Prompts Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar, Jason E Weston, Jing Xu

ICML 2025 Scalable Model Merging with Progressive Layer-Wise Distillation Jing Xu, Jiazheng Li, Jingzhao Zhang

ICML 2025 Self-Consistency Preference Optimization Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E Weston, Jane Yu

CVPR 2025 Self-Supervised ControlNet with Spatio-Temporal Mamba for Real-World Video Super-Resolution Shijun Shi, Jing Xu, Lijing Lu, Zhihang Li, Kai Hu

CVPR 2025 Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection Ji Du, Fangwei Hao, Mingyang Yu, Desheng Kong, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li

ICML 2025 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

CVPR 2024 CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs Haocheng Yuan, Jing Xu, Hao Pan, Adrien Bousseau, Niloy J. Mitra, Changjian Li

ICLRW 2024 Chain-of-Verification Reduces Hallucination in Large Language Models Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason E Weston

NeurIPS 2024 Con4m: Context-Aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen, Tao Xiao, Yang Yang

NeurIPSW 2024 Distilling System 2 into System 1 Ping Yu, Jing Xu, Jason E Weston, Ilia Kulikov

NeurIPS 2024 Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

AAAI 2024 MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships Tanglong Zhao, Ruifang He, Jing Xu, Bo Wang

COLT 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis Lesi Chen, Jing Xu, Jingzhao Zhang

ICMLW 2024 POST: A Framework for Privacy of Soft-Prompt Transfer Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Adam Dziedzic

ICMLW 2024 POST: A Framework for Privacy of Soft-Prompt Transfer Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Adam Dziedzic

ICML 2024 Random Masking Finds Winning Tickets for Parameter Efficient Fine-Tuning Jing Xu, Jingzhao Zhang

ICML 2024 Self-Rewarding Language Models Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason E Weston

ICMLW 2024 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

ICML 2023 A Closer Look at Few-Shot Classification Again Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song

AAAI 2023 Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie

ICML 2023 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization Lesi Chen, Jing Xu, Luo Luo

ICML 2023 Quantifying the Variability Collapse of Neural Networks Jing Xu, Haoxiong Liu

NeurIPS 2023 Towards Data-Algorithm Dependent Generalization: A Case Study on Overparameterized Linear Regression Jing Xu, Jiaye Teng, Yang Yuan, Andrew Yao

NeurIPS 2022 Alleviating the Sample Selection Bias in Few-Shot Learning by Removing Projection to the Centroid Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu

ICML 2022 Channel Importance Matters in Few-Shot Image Classification Xu Luo, Jing Xu, Zenglin Xu

ECCV 2022 Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark Yu Qiu, Jing Xu

CoLLAs 2022 On Anytime Learning at Macroscale Lucas Caccia, Jing Xu, Myle Ott, Marcaurelio Ranzato, Ludovic Denoyer

ICLR 2022 ToM2C: Target-Oriented Multi-Agent Communication and Cooperation with Theory of Mind Yuanfei Wang, Fangwei Zhong, Jing Xu, Yizhou Wang

AAAI 2021 MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation Yu Qiu, Yun Liu, Shijie Li, Jing Xu

CVPR 2020 Density-Aware Feature Embedding for Face Clustering Senhui Guo, Jing Xu, Dapeng Chen, Chao Zhang, Xiaogang Wang, Rui Zhao

NeurIPS 2020 Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks Jing Xu, Fangwei Zhong, Yizhou Wang

AAAI 2020 Pose-Assisted Multi-Camera Collaboration for Active Object Tracking Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang

AAAI 2019 Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

ICCV 2019 Point-Based Multi-View Stereo Network Rui Chen, Songfang Han, Jing Xu, Hao Su

CoRL 2019 S4G: Amodal Single-View Single-Shot SE(3) Grasp Detection in Cluttered Scenes Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su

CVPR 2018 Attention-Aware Compositional Network for Person Re-Identification Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang

MLOSS 2010 Continuous Time Bayesian Network Reasoning and Learning Engine Christian R. Shelton, Yu Fan, William Lam, Joon Lee, Jing Xu

JMLR 2010 Importance Sampling for Continuous Time Bayesian Networks Yu Fan, Jing Xu, Christian R. Shelton

JAIR 2010 Intrusion Detection Using Continuous Time Bayesian Networks Jing Xu, Christian R. Shelton

ECML-PKDD 2008 Continuous Time Bayesian Networks for Host Level Network Intrusion Detection Jing Xu, Christian R. Shelton

NeurIPS 2008 How Memory Biases Affect Information Transmission: A Rational Analysis of Serial Reproduction Jing Xu, Thomas L. Griffiths