Li, Jia

108 publications

AAAI 2025 A Comprehensive Evaluation on Event Reasoning of Large Language Models Zhengwei Tao, Zhi Jin, Yifan Zhang, Xiancai Chen, Haiyan Zhao, Jia Li, Bin Liang, Chongyang Tao, Qun Liu, Kam-Fai Wong
ICLR 2025 CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-Inspired Transformer Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
NeurIPS 2025 Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL Ruitao Wu, Yifan Zhao, Guangyao Chen, Jia Li
NeurIPS 2025 FAN: Fourier Analysis Networks Yihong Dong, Ge Li, Yongding Tao, Xue Jiang, Kechi Zhang, Jia Li, Jinliang Deng, Jing Su, Jun Zhang, Jingjing Xu
ICCV 2025 FICGen: Frequency-Inspired Contextual Disentanglement for Layout-Driven Degraded Image Generation Wenzhuang Wang, Yifan Zhao, Mingcan Ma, Ming Liu, Zhonglin Jiang, Yong Chen, Jia Li
AAAI 2025 Fair Text-to-Image Diffusion via Fair Mapping Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang
ICCV 2025 ForCenNet: Foreground-Centric Network for Document Image Rectification Peng Cai, Qiang Li, Kaicheng Yang, Dong Guo, Jia Li, Nan Zhou, Xiang An, Ninghua Yang, Jiankang Deng
AAAI 2025 FreeGen: Bridging Visual-Linguistic Discrepancies Towards Diffusion-Based Pixel-Level Data Synthesis Wenzhuang Wang, Mingcan Ma, Yong Chen, Changqun Xia, Zhenbao Liang, Jia Li
ICLR 2025 GraphArena: Evaluating and Exploring Large Language Models on Graph Computation Jianheng Tang, Qifan Zhang, Yuhan Li, Nuo Chen, Jia Li
AAAI 2025 Holistic Correction with Object Prototype for Video Object Segmentation Shengye Qiao, Changqun Xia, Yanjie Liang, Gongjin Lan, Jia Li
ICML 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
ICLR 2025 InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
ICCV 2025 Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement Ruitao Wu, Yifan Zhao, Jia Li
IJCAI 2025 MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung
NeurIPS 2025 Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting Zinan Zheng, Yang Liu, Jia Li
NeurIPS 2025 Non-Stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation Chaohao Yuan, Maoji Wen, Ercan Engin Kuruoglu, Yang Liu, Jia Li, Tingyang Xu, Deli Zhao, Hong Cheng, Yu Rong
CVPR 2025 Provoking Multi-Modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning Cheng Chen, Yunpeng Zhai, Yifan Zhao, Jinyang Gao, Bolin Ding, Jia Li
NeurIPS 2025 Re-Coding for Uncertainties: Edge-Awareness Semantic Concordance for Resilient Event-RGB Segmentation Nan Bao, Yifan Zhao, Lin Zhu, Jia Li
NeurIPS 2025 Reasoning Is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei
NeurIPS 2025 Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval Jian Xiao, Zijie Song, Jialong Hu, Hao Cheng, Zhenzhen Hu, Jia Li, Richang Hong
NeurIPS 2025 Recursive Transformer: Boosting Reasoning Ability with State Stack Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Yihong Dong, Jia Li, Jingjing Xu, Zhi Jin
NeurIPS 2025 Recursive Transformer: Boosting Reasoning Ability with State Stack Kechi Zhang, Ge Li, Jia Li, Huangzhao Zhang, Yihong Dong, Jia Li, Jingjing Xu, Zhi Jin
NeurIPS 2025 SATURN: SAT-Based Reinforcement Learning to Unleash LLMs Reasoning Huanyu Liu, Ge Li, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong
ICLR 2025 SimXRD-4m: Big Simulated X-Ray Diffraction Data and Crystal Symmetry Classification Benchmark Bin Cao, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-yi Zhang
ICCV 2025 TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration Xiaomeng Fu, Jia Li
AAAI 2025 Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval Jian Xiao, Zhenzhen Hu, Jia Li, Richang Hong
ICCV 2025 Zeroth-Order Fine-Tuning of LLMs in Random Subspaces Ziming Yu, Pan Zhou, Sike Wang, Jia Li, Mi Tian, Hua Huang
NeurIPS 2024 4-Bit Shampoo for Memory-Efficient Network Training Sike Wang, Pan Zhou, Jia Li, Hua Huang
IJCAI 2024 A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
IJCAI 2024 All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract) Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
CVPRW 2024 Deep RAW Image Super-Resolution. a NTIRE 2024 Challenge Survey Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou
ICLR 2024 Deep Reinforcement Learning for Modelling Protein Complexes Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
NeurIPS 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
TMLR 2024 Equivariant Graph Learning for High-Density Crowd Trajectories Modeling Yang Liu, Zinan Zheng, Yu Rong, Jia Li
ICLR 2024 EventRPG: Event Data Augmentation with Relevance Propagation Guidance Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Wang Jiaxu, Jia Li, Zheng Fang, Renjing Xu
NeurIPS 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
NeurIPS 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li
AAAI 2024 Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
AAAI 2024 Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei
NeurIPS 2024 How to Use Diffusion Priors Under Sparse Views? Qisen Wang, Yifan Zhao, Jiawei Ma, Jia Li
AAAI 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees Vincent Pisztora, Jia Li
CVPR 2024 Neural Super-Resolution for Real-Time Rendering with Radiance Demodulation Jia Li, Ziling Chen, Xiaolong Wu, Lu Wang, Beibei Wang, Lei Zhang
ICML 2024 Parameter-Efficient Fine-Tuning with Discrete Fourier Transform Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
NeurIPS 2024 ProG: A Graph Prompt Learning Benchmark Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting Across Diverse Prediction Horizons Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
ICLR 2024 Protein Multimer Structure Prediction via Prompt Learning Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
ICLR 2024 SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
CVPR 2024 Segment Every Out-of-Distribution Object Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo
NeurIPS 2024 Towards Stable Representations for Protein Interface Prediction Ziqi Gao, Zijing Liu, Yu Li, Jia Li
NeurIPS 2024 UniGAD: Unifying Multi-Level Graph Anomaly Detection Yiqing Lin, Jianheng Tang, Chenyi Zi, H.Vicky Zhao, Yuan Yao, Jia Li
ICLR 2023 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet
NeurIPS 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
ICCV 2023 E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images Yunshan Qi, Lin Zhu, Yu Zhang, Jia Li
NeurIPS 2023 GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
AAAI 2023 Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
AAAI 2023 Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
CVPRW 2023 Multimodal Feature Extraction and Fusion for Emotional Reaction Intensity Estimation and Expression Classification in Videos with Transformers Jia Li, Yin Chen, Xuesong Zhang, Jiantao Nie, Ziqiang Li, Yangchen Yu, Yan Zhang, Richang Hong, Meng Wang
CVPRW 2023 NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
CVPRW 2023 NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang
TMLR 2023 StarCoder: May the Source Be with You! Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Joel Lamy-Poirier, Joao Monteiro, Nicolas Gontier, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Ben Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason T Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Urvashi Bhattacharyya, Wenhao Yu, Sasha Luccioni, Paulo Villegas, Fedor Zhdanov, Tony Lee, Nadav Timor, Jennifer Ding, Claire S Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro Von Werra, Harm de Vries
TMLR 2023 The Stack: 3 TB of Permissively Licensed Source Code Denis Kocetkov, Raymond Li, Loubna Ben Allal, Jia Li, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro Von Werra, Harm de Vries
CVPR 2023 TriDet: Temporal Action Detection with Relative Boundary Modeling Dingfeng Shi, Yujie Zhong, Qiong Cao, Lin Ma, Jia Li, Dacheng Tao
AAAI 2023 Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
NeurIPS 2022 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin
CVPR 2022 Pyramid Grafting Network for One-Stage High Resolution Saliency Detection Chenxi Xie, Changqun Xia, Mingcan Ma, Zhirui Zhao, Xiaowu Chen, Jia Li
ECCV 2022 ReAct: Temporal Action Detection with Relational Queries Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao
ICML 2022 Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
AAAI 2022 Retinomorphic Object Detection in Asynchronous Visual Streams Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian
ECCV 2022 Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi
CVPR 2022 Video Demoireing with Relation-Based Temporal Consistency Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi
JMLR 2021 A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters Lei Yang, Jia Li, Defeng Sun, Kim-Chuan Toh
ICCV 2021 Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian
ICLR 2021 COCO: Controllable Counterfactuals for Evaluating Dialogue State Trackers Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong
NeurIPS 2021 Deconvolutional Networks on Graph Data Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
CVPR 2021 FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He
CVPR 2021 Graph-Based High-Order Relation Discovery for Fine-Grained Recognition Yifan Zhao, Ke Yan, Feiyue Huang, Jia Li
ICCV 2021 Heterogeneous Relational Complement for Vehicle Re-Identification Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian
CVPR 2021 Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection Luwei Hou, Yu Zhang, Kui Fu, Jia Li
AAAI 2021 Pyramidal Feature Shrinking for Salient Object Detection Mingcan Ma, Changqun Xia, Jia Li
ICCV 2021 Transformer-Based Dual Relation Graph for Multi-Label Image Recognition Jiawei Zhao, Ke Yan, Yifan Zhao, Xiaowei Guo, Feiyue Huang, Jia Li
NeurIPS 2020 Dirichlet Graph Variational Autoencoder Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
ECCV 2020 Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian
AAAI 2020 Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum K-Plex Problem Peilin Chen, Hai Wan, Shaowei Cai, Jia Li, Haicheng Chen
AAAI 2020 Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation Jia Li, Wen Su, Zengfu Wang
AAAI 2020 Ultrafast Video Attention Prediction with Coupled Knowledge Distillation Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li
ICLR 2019 Harmonic Unpaired Image-to-Image Translation Rui Zhang, Tomas Pfister, Jia Li
AAAI 2019 Lifted Proximal Operator Machines Jia Li, Cong Fang, Zhouchen Lin
ICML 2017 A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization Jianbo Ye, James Z. Wang, Jia Li
JMLR 2017 Clustering with Hidden Markov Model on Variable Blocks Lin Lin, Jia Li
CVPR 2017 Detecting Masked Faces in the Wild with LLE-CNNs Shiming Ge, Jia Li, Qiting Ye, Zhao Luo
ICCV 2017 Embedding 3D Geometric Features for Rigid Object Part Segmentation Yafei Song, Xiaowu Chen, Jia Li, Qinping Zhao
ICCV 2017 Look, Perceive and Segment: Finding the Salient Objects in Images via Two-Stream Fixation-Semantic CNNs Xiaowu Chen, Anlin Zheng, Jia Li, Feng Lu
ICCV 2017 Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow Jia Li, Anlin Zheng, Xiaowu Chen, Bin Zhou
AAAI 2017 Structured Prediction in Time Series Data Jia Li
CVPR 2017 What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors Changqun Xia, Jia Li, Xiaowu Chen, Anlin Zheng, Yu Zhang
ECCV 2016 A Distance for HMMs Based on Aggregated Wasserstein Metric and State Registration Yukun Chen, Jianbo Ye, Jia Li
IJCAI 2016 Adversarial Sequence Tagging Jia Li, Kaiser Asif, Hong Wang, Brian D. Ziebart, Tanya Y. Berger-Wolf
ECCV 2016 Identifying Emotions Aroused from Paintings Xin Lu, Neela Sawant, Michelle G. Newman, Reginald B. Adams Jr., James Z. Wang, Jia Li
ECCVW 2016 Identifying Emotions Aroused from Paintings Xin Lu, Neela Sawant, Michelle G. Newman, Reginald B. Adams Jr., James Z. Wang, Jia Li
ICCV 2015 A Data-Driven Metric for Comprehensive Evaluation of Saliency Models Jia Li, Changqun Xia, Yafei Song, Shu Fang, Xiaowu Chen
CVPR 2015 Semantic Object Segmentation via Detection in Weakly Labeled Video Yu Zhang, Xiaowu Chen, Jia Li, Chen Wang, Changqun Xia
JMLR 2008 Forecasting Web Page Views: Methods and Observations Jia Li, Andrew W. Moore
JMLR 2007 A Nonparametric Statistical Approach to Clustering via Mode Identification Jia Li, Surajit Ray, Bruce G. Lindsay
IJCAI 2007 Learning User Clicks in Web Search Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha
ECCV 2006 Studying Aesthetics in Photographic Images Using a Computational Approach Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wang
ICML 2005 A New Mallows Distance Based Metric for Comparing Clusterings Ding Zhou, Jia Li, Hongyuan Zha
CVPR 2005 ALIP: The Automatic Linguistic Indexing of Pictures System Jia Li, James Ze Wang
IJCAI 2005 Semantic Argument Classification Exploiting Argument Interdependence Zheng Ping Jiang, Jia Li, Hwee Tou Ng