| 2026 | AAAI | Flora: Effortless Context Construction to Arbitrary Length and Scale. | Tianxiang Chen, Zhentao Tan, Xiaofan Bo, Yue Wu, Tao Gong, Qi Chu, Jieping Ye |
| 2026 | AAAI | Enhancing Spatial Reasoning Through Visual and Textual Thinking. | Xun Liang, Xin Guo, Zhongming Jin, Weihang Pan, Penghui Shang, Deng Cai, Binbin Lin, Jieping Ye |
| 2026 | AAAI | FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making. | Weihang Pan, Zhengxu Yu, Yong Wu, Xun Liang, Zhongming Jin, Qiang Fu, Penghui Shang, Binbin Lin, Xiaofei He, Jieping Ye |
| 2026 | AAAI | Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye |
| 2026 | ACL | On the Step Length Confounding in LLM Reasoning Data Selection. | Bing Wang, Rui Miao, Chen Shen, Shaotian Yan, Kaiyuan Liu, Ximing Li, Xiaosong Yuan, Sinan Fan, Jun Zhang, Jieping Ye |
| 2025 | AAAI | GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. | Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye |
| 2025 | ACL | Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning. | Chenxi Huang, Shaotian Yan, Liang Xie, Binbin Lin, Sinan Fan, Yue Xin, Deng Cai, Chen Shen, Jieping Ye |
| 2025 | ACL | Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models. | Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | NeuronMerge: Merging Models via Functional Neuron Groups. | Wangyun Gu, Qianghua Gao, Li-Xin Zhang, Xu Shen, Jieping Ye |
| 2025 | ACL | Structure-aware Domain Knowledge Injection for Large Language Models. | Kai Liu, Ze Chen, Zhihang Fu, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye |
| 2025 | ACL | Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions. | Yiqun Wang, Chaoqun Wan, Sile Hu, Yonggang Zhang, Xiang Tian, Yaowu Chen, Xu Shen, Jieping Ye |
| 2025 | CVPR | HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting. | Jingyu Lin, Jiaqi Gu, Lubin Fan, Bojian Wu, Yujing Lou, Renjie Chen, Ligang Liu, Jieping Ye |
| 2025 | CVPR | IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding. | Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu |
| 2025 | CVPR | Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions. | He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang |
| 2025 | EMNLP | SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning. | Yue Xin, Chen Shen, Shaotian Yan, Xiaosong Yuan, Yaoming Wang, Xiaofeng Zhang, Chenxi Huang, Jieping Ye |
| 2025 | EMNLP | Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs. | Xiaofeng Zhang, Yihao Quan, Chen Shen, Chaochen Gu, Xiaosong Yuan, Shaotian Yan, Jiawei Cao, Hao Cheng, Kaijie Wu, Jieping Ye |
| 2025 | ICCV | PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model. | Jinhua Zhang, Hualian Sheng, Sijia Cai, Bing Deng, Qiao Liang, Wen Li, Ying Fu, Jieping Ye, Shuhang Gu |
| 2025 | ICLR | Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models. | Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye |
| 2025 | ICLR | Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. | Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye |
| 2025 | ICLR | Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach. | Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye |
| 2025 | ICLR | ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL. | Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye |
| 2025 | ICLR | Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models. | Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye |
| 2025 | ICML | Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger. | Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang |
| 2025 | ICML | ROPO: Robust Preference Optimization for Large Language Models. | Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye |
| 2025 | ICRA | PTZ-Calib: Robust Pan-Tilt-Zoom Camera Calibration. | Jinhui Guo, Lubin Fan, Bojian Wu, Jiaqi Gu, Shen Cao, Jieping Ye |
| 2025 | ICRA | CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery. | Chenghao Zhang, Lubin Fan, Shen Cao, Bojian Wu, Jieping Ye |
| 2025 | KDD | The 14th International Workshop on Urban Computing. | Yuxuan Liang, Yu Zheng, Chuishi Meng, Yanhua Li, Jieping Ye, Philip S. Yu, Ouri Wolfson |
| 2025 | KDD | Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs. | Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang |
| 2025 | NAACL | Concise and Organized Perception Facilitates Reasoning in Large Language Models. | Junjie Liu, Shaotian Yan, Chen Shen, Zhengdong Xiao, Liang Xie, Wenxiao Wang, Jieping Ye |
| 2025 | NAACL | From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks. | Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye |
| 2024 | ACL | SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. | Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye |
| 2024 | CVPR | Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning. | Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2024 | CVPR | LLaFS: When Large Language Models Meet Few-Shot Segmentation. | Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu |
| 2024 | ECCV | Learning Neural Volumetric Pose Features for Camera Localization. | Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye |
| 2024 | ECCV | AddressCLIP: Empowering Vision-Language Models for City-Wide Image Address Localization. | Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye |
| 2024 | ECCV | RoScenes: A Large-Scale Multi-view 3D Dataset for Roadside Perception. | Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye |
| 2024 | EMNLP | Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection. | Tianxiang Chen, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Jieping Ye, Nenghai Yu |
| 2024 | EMNLP | Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. | Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye |
| 2024 | ICLR | INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection. | Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye |
| 2024 | ICLR | Graph-constrained diffusion for End-to-End Path Planning. | Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye |
| 2024 | ICLR | Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. | Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye |
| 2024 | ICML | From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. | Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye |
| 2024 | ICML | A3S: A General Active Clustering Method with Pairwise Constraints. | Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang |
| 2024 | ICML | Discrete Latent Perspective Learning for Segmentation and Detection. | Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye |
| 2024 | ICML | Interpreting and Improving Large Language Models in Arithmetic Calculation. | Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye |
| 2024 | ICML | Efficient Denoising Diffusion via Probabilistic Masking. | Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen |
| 2024 | KDD | The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). | Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2024 | KDD | The 13th International Workshop on Urban Computing. | Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson |
| 2024 | KDD | URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering. | Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye |
| 2023 | CVPR | Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. | Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye |
| 2023 | CVPR | Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. | Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye |
| 2023 | ICASSP | Rethinking Learning-Based Method for Lossless Genome Compression. | Han Yang, Fei Gu, Jieping Ye |
| 2023 | ICCV | Uncertainty-aware Unsupervised Multi-Object Tracking. | Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye |
| 2023 | ICDE | Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. | Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma |
| 2023 | ICDE | Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. | Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye |
| 2023 | KDD | The 12th International Workshop on Urban Computing. | Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson |
| 2023 | KDD | KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. | Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan |
| 2022 | KDD | DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. | Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye |
| 2022 | KDD | The 11th International Workshop on Urban Computing. | Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson |
| 2022 | KDD | The 5th Artificial Intelligence of Things (AIoT) Workshop. | Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl |
| 2022 | WWW | Rethinking Graph Convolutional Networks in Knowledge Graph Completion. | Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu |
| 2022 | SIGMOD | In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. | Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cdric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang |
| 2021 | BMVC | Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. | Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng |
| 2021 | ICASSP | FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention. | Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye |
| 2021 | ICDM | Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. | Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu |
| 2021 | ICML | Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. | Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang |
| 2021 | ICML | On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. | Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang |
| 2021 | Interspeech | Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only. | Jun Chen, Jieping Ye, Fengyi Tang, Jiayu Zhou |
| 2021 | KDD | Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. | Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye |
| 2021 | KDD | The 4th Artificial Intelligence of Things (AIoT) Workshop. | Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl |
| 2021 | KDD | DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. | Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye |
| 2020 | AAAI | AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. | Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye |
| 2020 | AAAI | An Attention-Based Graph Neural Network for Heterogeneous Structural Learning. | Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye |
| 2020 | CIKM | Masked-field Pre-training for User Intent Prediction. | Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li, Jieping Ye |
| 2020 | CIKM | A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. | Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu |
| 2020 | CVPR | PropagationNet: Propagate Points to Curve to Learn Structure Information. | Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye |
| 2020 | CVPR | Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. | Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye |
| 2020 | ECCV | Adaptive Object Detection with Dual Multi-label Prediction. | Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye |
| 2020 | ECCV | Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. | Zhen Zhao, Yuhong Guo, Jieping Ye |
| 2020 | ICDE | Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. | Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu |
| 2020 | ICMI | Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition. | Mo Sun, Jian Li, Hui Feng, Wei Gou, Haifeng Shen, Jian Tang, Yi Yang, Jieping Ye |
| 2020 | ICMI | A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias. | Zehui Yu, Xiehe Huang, Xiubao Zhang, Haifeng Shen, Qun (Tracy) Li, Weihong Deng, Jian Tang, Yi Yang, Jieping Ye |
| 2020 | ICPR | Road Network Metric Learning for Estimated Time of Arrival. | Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye |
| 2020 | ICPR | Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. | Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye |
| 2020 | KDD | CompactETA: A Fast Inference System for Travel Time Prediction. | Kun Fu, Fanlin Meng, Jieping Ye, Zheng Wang |
| 2020 | KDD | HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival. | Huiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kun Fu, Zheng Wang, Xiaohu Qie, Jieping Ye |
| 2020 | KDD | Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time. | Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye |
| 2020 | KDD | Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction. | Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye |
| 2020 | KDD | Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. | Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei |
| 2020 | WWW | Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. | Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye |
| 2020 | SIGIR | Deep Natural Language Processing for Search and Recommendation. | Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha |
| 2019 | AAAI | Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. | Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu |
| 2019 | AAAI | Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. | Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | AAAI | Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. | Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie |
| 2019 | CIKM | CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). | Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye |
| 2019 | CIKM | CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. | Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye |
| 2019 | CIKM | Recommendation-based Team Formation for On-demand Taxi-calling Platforms. | Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye |
| 2019 | CIKM | Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. | Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye |
| 2019 | ICCV | Generative Adversarial Training for Weakly Supervised Cloud Matting. | Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye |
| 2019 | ICDE | Cooperation-Aware Task Assignment in Spatial Crowdsourcing. | Peng Cheng, Lei Chen, Jieping Ye |
| 2019 | ICDM | InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. | Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye |
| 2019 | ICDM | Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. | John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye |
| 2019 | IJCAI | Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. | Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang |
| 2019 | IJCAI | Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. | Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He |
| 2019 | Interspeech | An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech. | Jun Chen, Ji Zhu, Jieping Ye |
| 2019 | KDD | Automatic Dialogue Summary Generation for Customer Service. | Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, Jieping Ye |
| 2019 | KDD | Deep Reinforcement Learning with Applications in Transportation. | Zhiwei (Tony) Qin, Jian Tang, Jieping Ye |
| 2019 | KDD | Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. | Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye |
| 2019 | KDD | A Deep Value-network Based Approach for Multi-Driver Order Dispatching. | Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye |
| 2019 | KDD | Transportation: A Data Driven Approach. | Jieping Ye |
| 2019 | WWW | Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. | Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye |
| 2018 | AAAI | Margin Based PU Learning. | Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin |
| 2018 | AAAI | Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction. | Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li |
| 2018 | ICDE | Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. | Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han |
| 2018 | ICDM | Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. | Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu |
| 2018 | ICDM | Human-Centric Urban Transit Evaluation and Planning. | Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo |
| 2018 | KDD | Multi-task Representation Learning for Travel Time Estimation. | Yaguang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye, Yan Liu |
| 2018 | KDD | Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient. | Yan Li, Jieping Ye |
| 2018 | KDD | TINET: Learning Invariant Networks via Knowledge Transfer. | Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye |
| 2018 | KDD | Learning to Estimate the Travel Time. | Zheng Wang, Kun Fu, Jieping Ye |
| 2018 | KDD | Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. | Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye |
| 2018 | SIGIR | Big Data at Didi Chuxing. | Jieping Ye |
| 2018 | SIGIR | Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms. | Lingyu Zhang, Wei Ai, Chuan Yuan, Yuhui Zhang, Jieping Ye |
| 2018 | SIGMOD | Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach. | Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye |
| 2018 | SDM | Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data. | Yan Li, Tao Yang, Jiayu Zhou, Jieping Ye |
| 2017 | ICDE | DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks. | Dong Wang, Wei Cao, Jian Li, Jieping Ye |
| 2017 | ICDM | Multi-task Survival Analysis. | Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye |
| 2017 | ICDM | Robust Self-Tuning Sparse Subspace Clustering. | Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye |
| 2017 | ICML | Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. | Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang |
| 2017 | KDD | Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. | Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang |
| 2017 | KDD | The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. | Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv |
| 2017 | KDD | A Taxi Order Dispatch Model based On Combinatorial Optimization. | Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye |
| 2017 | KDD | Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling. | Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye |
| 2017 | MICCAI | Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. | Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li |
| 2017 | SDM | Computational Drug Discovery with Dyadic Positive-Unlabeled Learning. | Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye |
| 2017 | SDM | Pruning Decision Trees via Max-Heap Projection. | Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye |
| 2016 | ICDM | Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. | Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy |
| 2016 | ICIP | Multi-feature sparse-based defect detection and classification in semiconductor units. | Bashar Haddad, Lina J. Karam, Jieping Ye, Nital Patel, Martin W. Braun |
| 2016 | IJCAI | Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models. | Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye |
| 2016 | KDD | Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. | Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn |
| 2016 | KDD | Parallel Lasso Screening for Big Data Optimization. | Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang |
| 2016 | KDD | A Multi-Task Learning Formulation for Survival Analysis. | Yan Li, Jie Wang, Jieping Ye, Chandan K. Reddy |
| 2016 | KDD | Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression. | Zhi Nie, Pinghua Gong, Jieping Ye |
| 2016 | KDD | Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. | Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye |
| 2016 | KDD | Annealed Sparsity via Adaptive and Dynamic Shrinking. | Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye |
| 2016 | KDD | Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. | Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | MICCAI | Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. | Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang |
| 2016 | MICCAI | Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. | Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang |
| 2015 | DATE | Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip. | Pai-Yu Chen, Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao, Shimeng Yu |
| 2015 | ICCAD | Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning. | Pai-Yu Chen, Binbin Lin, I-Ting Wang, Tuo-Hung Hou, Jieping Ye, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao, Shimeng Yu |
| 2015 | ICDM | Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. | Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan |
| 2015 | ICML | A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. | Pinghua Gong, Jieping Ye |
| 2015 | ICML | Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices. | Jie Wang, Jieping Ye |
| 2015 | KDD | BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. | Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye |
| 2015 | KDD | Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation. | Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson |
| 2015 | KDD | Transfer Learning for Bilingual Content Classification. | Qian Sun, Mohammad Shafkat Amin, Baoshi Yan, Craig Martell, Vita Markman, Anmol Bhasin, Jieping Ye |
| 2015 | KDD | Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction. | Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan |
| 2015 | KDD | Structural Graphical Lasso for Learning Mouse Brain Connectivity. | Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye |
| 2015 | KDD | Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. | Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji |
| 2015 | KDD | Multi-Task Learning for Spatio-Temporal Event Forecasting. | Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2015 | MICCAI | Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. | Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu |
| 2015 | NAACL | Recognizing Social Constructs from Textual Conversation. | Somak Aditya, Chitta Baral, Nguyen Ha Vo, Joohyung Lee, Jieping Ye, Zaw Naung, Barry Lumpkin, Jenny Hastings, Richard B. Scherl, Dawn M. Sweet, Daniela Inclezan |
| 2015 | PSB | Session Introduction. | Graciela Gonzalez, Chitta Baral, Jeff Kiefer, Suengchan Kim, Jieping Ye |
| 2015 | PSB | Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values. | Zhi Nie, Tao Yang, Yashu Liu, Binbin Lin, Qingyang Li, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye |
| 2015 | PSB | Automated Gene Expression Pattern Annotation in the Mouse Brain. | Tao Yang, Xinlin Zhao, Binbin Lin, Tao Zeng, Shuiwang Ji, Jieping Ye |
| 2014 | BMVC | Image Cosegmentation via Multi-task Learning. | Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li |
| 2014 | ICML | Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint. | Ji Liu, Jieping Ye, Ryohei Fujimaki |
| 2014 | ICML | Geodesic Distance Function Learning via Heat Flow on Vector Fields. | Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye |
| 2014 | ICML | Safe Screening with Variational Inequalities and Its Application to Lasso. | Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye |
| 2014 | ICML | Rank-One Matrix Pursuit for Matrix Completion. | Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye |
| 2014 | ICML | A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models. | Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye |
| 2014 | ICML | Scaling SVM and Least Absolute Deviations via Exact Data Reduction. | Jie Wang, Peter Wonka, Jieping Ye |
| 2014 | KDD | Efficient multi-task feature learning with calibration. | Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye |
| 2014 | KDD | An efficient algorithm for weak hierarchical lasso. | Yashu Liu, Jie Wang, Jieping Ye |
| 2014 | KDD | Simultaneous feature and feature group selection through hard thresholding. | Shuo Xiang, Tao Yang, Jieping Ye |
| 2014 | KDD | From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records. | Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye |
| 2014 | PSB | Session introduction. | Graciela Gonzalez, Kevin Bretonnel Cohen, Robert Leaman, Casey S. Greene, Nigam Shah, Maricel G. Kann, Jieping Ye |
| 2014 | PSB | Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients. | Yashu Liu, Zhi Nie, Jiayu Zhou, Michael Farnum, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye |
| 2013 | ICDM | Active Matrix Completion. | Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye |
| 2013 | ICML | Guaranteed Sparse Recovery under Linear Transformation. | Ji Liu, Lei Yuan, Jieping Ye |
| 2013 | ICML | Joint Transfer and Batch-mode Active Learning. | Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye |
| 2013 | ICML | A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems. | Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye |
| 2013 | ICML | Efficient Sparse Group Feature Selection via Nonconvex Optimization. | Shuo Xiang, Xiaoshen Tong, Jieping Ye |
| 2013 | IJCAI | Active Learning from Relative Queries. | Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson |
| 2013 | KDD | Robust principal component analysis via capped norms. | Qian Sun, Shuo Xiang, Jieping Ye |
| 2013 | KDD | Querying discriminative and representative samples for batch mode active learning. | Zheng Wang, Jieping Ye |
| 2013 | KDD | Multi-source learning with block-wise missing data for Alzheimer's disease prediction. | Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye |
| 2013 | KDD | An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems. | Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, Jieping Ye |
| 2013 | KDD | FeaFiner: biomarker identification from medical data through feature generalization and selection. | Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye |
| 2013 | PSB | Session introduction. | Graciela Gonzalez, Kevin Bretonnel Cohen, Casey S. Greene, Udo Hahn, Maricel G. Kann, Robert Leaman, Nigam Shah, Jieping Ye |
| 2013 | SDM | Multi-objective Multi-view Spectral Clustering via Pareto Optimization. | Ian Davidson, Buyue Qian, Xiang Wang, Jieping Ye |
| 2013 | SDM | Patient Risk Prediction Model via Top-k Stability Selection. | Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou |
| 2012 | CVPR | Matrix completion by Truncated Nuclear Norm Regularization. | Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He |
| 2012 | KDD | Batch mode active sampling based on marginal probability distribution matching. | Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye |
| 2012 | KDD | Robust multi-task feature learning. | Pinghua Gong, Jieping Ye, Changshui Zhang |
| 2012 | KDD | Accelerated singular value thresholding for matrix completion. | Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He |
| 2012 | KDD | Optimal exact least squares rank minimization. | Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye |
| 2012 | KDD | Feature grouping and selection over an undirected graph. | Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye |
| 2012 | KDD | Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. | Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye |
| 2012 | KDD | Modeling disease progression via fused sparse group lasso. | Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye |
| 2011 | KDD | Multi-source domain adaptation and its application to early detection of fatigue. | Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson |
| 2011 | KDD | Integrating low-rank and group-sparse structures for robust multi-task learning. | Jianhui Chen, Jiayu Zhou, Jieping Ye |
| 2011 | KDD | Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. | Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman |
| 2011 | KDD | A multi-task learning formulation for predicting disease progression. | Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye |
| 2010 | ICMLA | Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. | Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye |
| 2010 | KDD | Learning incoherent sparse and low-rank patterns from multiple tasks. | Jianhui Chen, Ji Liu, Jieping Ye |
| 2010 | KDD | An efficient algorithm for a class of fused lasso problems. | Jun Liu, Lei Yuan, Jieping Ye |
| 2010 | KDD | A scalable two-stage approach for a class of dimensionality reduction techniques. | Liang Sun, Betul Ceran, Jieping Ye |
| 2009 | ICCV | Tensor completion for estimating missing values in visual data. | Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye |
| 2009 | ICML | A convex formulation for learning shared structures from multiple tasks. | Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye |
| 2009 | ICML | An accelerated gradient method for trace norm minimization. | Shuiwang Ji, Jieping Ye |
| 2009 | ICML | Efficient Euclidean projections in linear time. | Jun Liu, Jieping Ye |
| 2009 | ICML | A least squares formulation for a class of generalized eigenvalue problems in machine learning. | Liang Sun, Shuiwang Ji, Jieping Ye |
| 2009 | ICML | Non-monotonic feature selection. | Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King |
| 2009 | ICML | Online learning by ellipsoid method. | Liu Yang, Rong Jin, Jieping Ye |
| 2009 | IJCAI | Linear Dimensionality Reduction for Multi-label Classification. | Shuiwang Ji, Jieping Ye |
| 2009 | IJCAI | DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning. | Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou |
| 2009 | IJCAI | Learning the Optimal Neighborhood Kernel for Classification. | Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye |
| 2009 | IJCAI | On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. | Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye |
| 2009 | IJCAI | On Multiple Kernel Learning with Multiple Labels. | Lei Tang, Jianhui Chen, Jieping Ye |
| 2009 | IJCAI | Multiclass Probabilistic Kernel Discriminant Analysis. | Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye |
| 2009 | KDD | Drosophila gene expression pattern annotation using sparse features and term-term interactions. | Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye |
| 2009 | KDD | Large-scale sparse logistic regression. | Jun Liu, Jianhui Chen, Jieping Ye |
| 2009 | KDD | Mining discrete patterns via binary matrix factorization. | Bao-Hong Shen, Shuiwang Ji, Jieping Ye |
| 2009 | KDD | Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. | Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye |
| 2009 | UAI | Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization. | Jun Liu, Shuiwang Ji, Jieping Ye |
| 2008 | CVPR | A unified framework for generalized Linear Discriminant Analysis. | Shuiwang Ji, Jieping Ye |
| 2008 | ICML | Training SVM with indefinite kernels. | Jianhui Chen, Jieping Ye |
| 2008 | ICML | A least squares formulation for canonical correlation analysis. | Liang Sun, Shuiwang Ji, Jieping Ye |
| 2008 | KDD | Learning subspace kernels for classification. | Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye |
| 2008 | KDD | Extracting shared subspace for multi-label classification. | Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye |
| 2008 | KDD | Hypergraph spectral learning for multi-label classification. | Liang Sun, Shuiwang Ji, Jieping Ye |
| 2008 | KDD | Heterogeneous data fusion for alzheimer's disease study. | Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman |
| 2008 | KDD | Identifying biologically relevant genes via multiple heterogeneous data sources. | Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang |
| 2007 | CVPR | Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation. | Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan |
| 2007 | CVPR | Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. | Jianhui Chen, Jieping Ye, Qi Li |
| 2007 | CVPR | Adaptive Distance Metric Learning for Clustering. | Jieping Ye, Zheng Zhao, Huan Liu |
| 2007 | ICML | Least squares linear discriminant analysis. | Jieping Ye |
| 2007 | ICML | Discriminant kernel and regularization parameter learning via semidefinite programming. | Jieping Ye, Jianhui Chen, Shuiwang Ji |
| 2007 | KDD | Nonlinear adaptive distance metric learning for clustering. | Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu |
| 2007 | KDD | Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming. | Jieping Ye, Shuiwang Ji, Jianhui Chen |
| 2006 | CIKM | Efficient model selection for regularized linear discriminant analysis. | Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu |
| 2006 | CVPR | Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction. | Qi Li, Chandra Kambhamettu, Jieping Ye |
| 2006 | CVPR | Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach. | Tao Xiong, Jieping Ye, Vladimir Cherkassky |
| 2006 | ICML | Null space versus orthogonal linear discriminant analysis. | Jieping Ye, Tao Xiong |
| 2006 | ICTAI | Adaptive Appearance Based Face Recognition. | Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu |
| 2006 | KDD | Regularized discriminant analysis for high dimensional, low sample size data. | Jieping Ye, Tie Wang |
| 2006 | SDM | CPM: A Covariance-preserving Projection Method. | Jieping Ye, Tao Xiong, Ravi Janardan |
| 2006 | WABI | Multiple Structure Alignment and Consensus Identification for Proteins. | Jieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom |
| 2005 | SDM | 2-Dimensional Singular Value Decomposition for 2D Maps and Images. | Chris H. Q. Ding, Jieping Ye |
| 2004 | CVPR | Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study. | Qi Li, Jieping Ye, Chandra Kambhamettu |
| 2004 | ICML | Generalized low rank approximations of matrices. | Jieping Ye |
| 2004 | ICML | Feature extraction via generalized uncorrelated linear discriminant analysis. | Jieping Ye, Ravi Janardan, Qi Li, Haesun Park |
| 2004 | KDD | GPCA: an efficient dimension reduction scheme for image compression and retrieval. | Jieping Ye, Ravi Janardan, Qi Li |
| 2004 | KDD | IDR/QR: an incremental dimension reduction algorithm via QR decomposition. | Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar |
| 2003 | ICDM | Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data. | Qi Li, Jieping Ye, Chandra Kambhamettu |
| 2003 | ICDM | A new optimization criterion for generalized discriminant analysis on undersampled problems. | Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park |
| 2003 | ICTAI | Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry. | Jieping Ye, Ravi Janardan, Songtao Liu |