Jieping Ye

663 papers A* 200A 23B 10C 4Misc 8Journal 338Unranked 77
YearRankTypeTitle / Venue / Authors
2026 J jnl
AnyID: Ultra-Fidelity Universal Identity-Preserving Video Generation from Any Visual References.
CoRR
Jiahao Wang, Hualian Sheng, Sijia Cai, Yuxiao Yang, Weizhan Zhang, Caixia Yan, Bing Deng, Jieping Ye
2026 A* conf
Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs.
AAAI
Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye
2026 J jnl
CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering.
CoRR
Yuyang Hong, Jiaqi Gu, Yujin Lou, Lubin Fan, Qi Yang, Ying Wang, Kun Ding, Yue Wu, Shiming Xiang, Jieping Ye
2026 J jnl
Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning.
CoRR
Shaotian Yan, Kaiyuan Liu, Chen Shen, Bing Wang, Sinan Fan, Jun Zhang, Yue Wu, Zheng Wang, Jieping Ye
2026 A* conf
Enhancing Spatial Reasoning Through Visual and Textual Thinking.
AAAI
Xun Liang, Xin Guo, Zhongming Jin, Weihang Pan, Penghui Shang, Deng Cai, Binbin Lin, Jieping Ye
2026 A* conf
FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making.
AAAI
Weihang Pan, Zhengxu Yu, Yong Wu, Xun Liang, Zhongming Jin, Qiang Fu, Penghui Shang, Binbin Lin, Xiaofei He, Jieping Ye
2026 J jnl
FGGM: Fisher-Guided Gradient Masking for Continual Learning.
CoRR
Chao-Hong Tan, Qian Chen, Wen Wang, Yukun Ma, Chong Zhang, Chong Deng, Qinglin Zhang, Xiangang Li, Jieping Ye
2026 A* conf
Flora: Effortless Context Construction to Arbitrary Length and Scale.
AAAI
Tianxiang Chen, Zhentao Tan, Xiaofan Bo, Yue Wu, Tao Gong, Qi Chu, Jieping Ye
2026 J jnl
Probing RLVR training instability through the lens of objective-level hacking.
CoRR
Yiming Dong, Kun Fu, Haoyu Li, Xinyuan Zhu, Yurou Liu, Lijing Shao, Jieping Ye, Zheng Wang
2026 J jnl
Spatial-Temporal Multimodal Large Language Model for Generative Recommendation in Alipay.
IEEE Trans. Knowl. Data Eng.
Yunhui Xu, Zhixiang Yang, Youru Li, Zhenfeng Zhu, Zujian Weng, Jingjuan Zhao, Chenguang Ma, Jieping Ye, Yao Zhao
2026 J jnl
Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs.
CoRR
Zhiyu Pan, Yizheng Wu, Jiashen Hua, Junyi Feng, Shaotian Yan, Bing Deng, Zhiguo Cao, Jieping Ye
2026 J jnl
What Papers Don't Tell You: Recovering Tacit Knowledge for Automated Paper Reproduction.
CoRR
Lehui Li, Ruining Wang, Haochen Song, Yaoxin Mao, Tong Zhang, Yuyao Wang, Jiayi Fan, Yitong Zhang, Jieping Ye, Chengqi Zhang, Yongshun Gong
2025 J jnl
A Generalist Cross-Domain Molecular Learning Framework for Structure-Based Drug Discovery.
CoRR
Yiheng Zhu, Mingyang Li, Junlong Liu, Kun Fu, Jiansheng Wu, Qiuyi Li, Mingze Yin, Jieping Ye, Jian Wu, Zheng Wang
2025 J jnl
AddressVLM: Cross-view Alignment Tuning for Image Address Localization using Large Vision-Language Models.
CoRR
Shixiong Xu, Chenghao Zhang, Lubin Fan, Yuan Zhou, Bin Fan, Shiming Xiang, Gaofeng Meng, Jieping Ye
2025 J jnl
Advancing vision-language models in front-end development via data synthesis.
CoRR
Tong Ge, Yashu Liu, Jieping Ye, Tianyi Li, Chao Wang
2025 J jnl
Bootstrapping Audio-Visual Video Segmentation by Strengthening Audio Cues.
IEEE Trans. Circuits Syst. Video Technol.
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu, Le Lu, Jieping Ye
2025 J jnl
CATI: A medical context-enhanced framework for diagnosis code assignment in the UK Biobank study.
Artif. Intell. Medicine
Yue Shen, Jie Wang, Zhe Wang, Zhihao Shi, Hanzhu Chen, Zheng Wang, Yukang Jiang, Xiaopu Wang, Chuandong Cheng, Xueqin Wang, Hongtu Zhu, Jieping Ye
2025 J jnl
CT3D++: Improving 3D Object Detection with Keypoint-Induced Channel-wise Transformer.
Int. J. Comput. Vis.
Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Qiao Liang, Min-Jian Zhao, Jieping Ye
2025 A* conf
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery.
ICRA
Chenghao Zhang, Lubin Fan, Shen Cao, Bojian Wu, Jieping Ye
2025 J jnl
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery.
CoRR
Chenghao Zhang, Lubin Fan, Shen Cao, Bojian Wu, Jieping Ye
2025 — conf
Concise and Organized Perception Facilitates Reasoning in Large Language Models.
NAACL (Findings)
Junjie Liu, Shaotian Yan, Chen Shen, Zhengdong Xiao, Liang Xie, Wenxiao Wang, Jieping Ye
2025 J jnl
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning.
CoRR
Kongcheng Zhang, Qi Yao, Shunyu Liu, Yingjie Wang, Baisheng Lai, Jieping Ye, Mingli Song, Dacheng Tao
2025 J jnl
Controlling Thinking Speed in Reasoning Models.
CoRR
Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye
2025 J jnl
Cooperative Driving at Multiple Unsignalized Intersections in Fully Autonomous Driving Scenarios.
IEEE Trans. Intell. Transp. Syst.
Weihang Pan, Binbin Lin, Yafei Wang, Zhengxu Yu, Xinkui Zhao, Xiaofei He, Jieping Ye
2025 J jnl
CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training.
CoRR
Zhihao Du, Changfeng Gao, Yuxuan Wang, Fan Yu, Tianyu Zhao, Hao Wang, Xiang Lv, Hui Wang, Chongjia Ni, Xian Shi, Keyu An, Guanrou Yang, Yabin Li, Yanni Chen, Zhifu Gao, Qian Chen, Yue Gu, Mengzhe Chen, Yafeng Chen, Shiliang Zhang, Wen Wang, Jieping Ye
2025 A* conf
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models.
ICLR
Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye
2025 J jnl
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models.
CoRR
Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye
2025 J jnl
ESOD: Efficient Small Object Detection on High-Resolution Images.
IEEE Trans. Image Process.
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
2025 J jnl
EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer.
CoRR
Yuxiao Yang, Hualian Sheng, Sijia Cai, Jing Lin, Jiahao Wang, Bing Deng, Junzhe Lu, Haoqian Wang, Jieping Ye
2025 J jnl
EchoShot: Multi-Shot Portrait Video Generation.
CoRR
Jiahao Wang, Hualian Sheng, Sijia Cai, Weizhan Zhang, Caixia Yan, Yachuang Feng, Bing Deng, Jieping Ye
2025 J jnl
Efficient Alignment of Unconditioned Action Prior for Language-Conditioned Pick and Place in Clutter.
IEEE Trans Autom. Sci. Eng.
Kechun Xu, Xunlong Xia, Kaixuan Wang, Yifei Yang, Yunxuan Mao, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang
2025 J jnl
Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models.
CoRR
Kaiyuan Liu, Chen Shen, Zhanwei Zhang, Junjie Liu, Xiaosong Yuan, Jieping Ye
2025 — conf
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning.
ACL (1)
Chenxi Huang, Shaotian Yan, Liang Xie, Binbin Lin, Sinan Fan, Yue Xin, Deng Cai, Chen Shen, Jieping Ye
2025 J jnl
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning.
CoRR
Chenxi Huang, Shaotian Yan, Liang Xie, Binbin Lin, Sinan Fan, Yue Xin, Deng Cai, Chen Shen, Jieping Ye
2025 J jnl
Enhancing Spatial Reasoning through Visual and Textual Thinking.
CoRR
Xun Liang, Xin Guo, Zhongming Jin, Weihang Pan, Penghui Shang, Deng Cai, Binbin Lin, Jieping Ye
2025 J jnl
Flora: Effortless Context Construction to Arbitrary Length and Scale.
CoRR
Tianxiang Chen, Zhentao Tan, Xiaofan Bo, Yue Wu, Tao Gong, Qi Chu, Jieping Ye, Nenghai Yu
2025 — conf
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.
NAACL (Long Papers)
Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye
2025 J jnl
Fun-Audio-Chat Technical Report.
CoRR
Tongyi Fun Team, Qian Chen, Luyao Cheng, Chong Deng, Xiangang Li, Jiaqing Liu, Chao-Hong Tan, Wen Wang, Junhao Xu, Jieping Ye, Qinglin Zhang, Qiquan Zhang, Jingren Zhou
2025 J jnl
FunAudio-ASR Technical Report.
CoRR
Keyu An, Yanni Chen, Chong Deng, Changfeng Gao, Zhifu Gao, Bo Gong, Xiangang Li, Yabin Li, Xiang Lv, Yunjie Ji, Yiheng Jiang, Bin Ma, Haoneng Luo, Chongjia Ni, Zexu Pan, Yiping Peng, Zhendong Peng, Peiyao Wang, Hao Wang, Wen Wang, Wupeng Wang, Biao Tian, Zhentao Tan, Nan Yang, Bin Yuan, Jieping Ye, Jixing Yu, Qinglin Zhang, Kun Zou, Han Zhao, Shengkui Zhao, Jingren Zhou
2025 A* conf
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
AAAI
Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
2025 J jnl
GENERator: A Long-Context Generative Genomic Foundation Model.
CoRR
Wei Wu, Qiuyi Li, Mingyang Li, Kun Fu, Fuli Feng, Jieping Ye, Hui Xiong, Zheng Wang
2025 A* conf
Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions.
CVPR
He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang
2025 J jnl
Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions.
CoRR
He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang
2025 A* conf
HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting.
CVPR
Jingyu Lin, Jiaqi Gu, Lubin Fan, Bojian Wu, Yujing Lou, Renjie Chen, Ligang Liu, Jieping Ye
2025 — conf
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding.
CVPR Workshops
Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu
2025 A* conf
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach.
ICLR
Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye
2025 J jnl
Improving Complex Reasoning with Dynamic Prompt Corruption: A soft prompt Optimization Approach.
CoRR
Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye
2025 J jnl
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval.
CoRR
Yulong Hui, Chao Chen, Zhihang Fu, Yihao Liu, Jieping Ye, Huanchen Zhang
2025 — conf
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings.
ACL (1)
Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye
2025 A* conf
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models.
ICLR
Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye
2025 J jnl
Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering.
CoRR
Yuyang Hong, Jiaqi Gu, Qi Yang, Lubin Fan, Yue Wu, Ying Wang, Kun Ding, Shiming Xiang, Jieping Ye
2025 J jnl
LLaFS++: Few-Shot Image Segmentation With Large Language Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Lanyun Zhu, Tianrun Chen, Deyi Ji, Peng Xu, Jieping Ye, Jun Liu
2025 J jnl
Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach.
IEEE Trans. Knowl. Data Eng.
Weihang Pan, Minghao Chen, Binbin Lin, Yafei Wang, Xinkui Zhao, Xiaofei He, Jieping Ye
2025 A* conf
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs.
ICLR
Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye
2025 J jnl
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs.
CoRR
Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye
2025 J jnl
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models.
CoRR
Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, Yifan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng
2025 — conf
NeuronMerge: Merging Models via Functional Neuron Groups.
ACL (Findings)
Wangyun Gu, Qianghua Gao, Li-Xin Zhang, Xu Shen, Jieping Ye
2025 J jnl
No Parameters, No Problem: 3D Gaussian Splatting without Camera Intrinsics and Extrinsics.
CoRR
Dongbo Shi, Shen Cao, Lubin Fan, Bojian Wu, Jinhui Guo, Renjie Chen, Ligang Liu, Jieping Ye
2025 J jnl
NoPe-NeRF++: Local-to-Global Optimization of NeRF with No Pose Prior.
Comput. Graph. Forum
Dongbo Shi, Shen Cao, Bojian Wu, Jinhui Guo, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
2025 J jnl
NoPe-NeRF++: Local-to-Global Optimization of NeRF with No Pose Prior.
CoRR
Dongbo Shi, Shen Cao, Bojian Wu, Jinhui Guo, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
2025 J jnl
Not Every Patch is Needed: Toward a More Efficient and Effective Backbone for Video-Based Person Re-Identification.
IEEE Trans. Image Process.
Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu
2025 J jnl
Not Every Patch is Needed: Towards a More Efficient and Effective Backbone for Video-based Person Re-identification.
CoRR
Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu
2025 J jnl
OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive Alignment.
CoRR
Chao-Hong Tan, Qian Chen, Wen Wang, Chong Deng, Qinglin Zhang, Luyao Cheng, Hai Yu, Xin Zhang, Xiang Lv, Tianyu Zhao, Chong Zhang, Yukun Ma, Yafeng Chen, Hui Wang, Jiaqing Liu, Jieping Ye
2025 A* conf
PTZ-Calib: Robust Pan-Tilt-Zoom Camera Calibration.
ICRA
Jinhui Guo, Lubin Fan, Bojian Wu, Jiaqi Gu, Shen Cao, Jieping Ye
2025 J jnl
PTZ-Calib: Robust Pan-Tilt-Zoom Camera Calibration.
CoRR
Jinhui Guo, Lubin Fan, Bojian Wu, Jiaqi Gu, Shen Cao, Jieping Ye
2025 J jnl
PrismAudio: Decomposed Chain-of-Thoughts and Multi-dimensional Rewards for Video-to-Audio Generation.
CoRR
Huadai Liu, Kaicheng Luo, Wen Wang, Qian Chen, Peiwen Sun, Rongjie Huang, Xiangang Li, Jieping Ye, Wei Xue
2025 A* conf
ROPO: Robust Preference Optimization for Large Language Models.
ICML
Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye
2025 A* conf
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL.
ICLR
Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye
2025 A* conf
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger.
ICML
Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang
2025 J jnl
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger.
CoRR
Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang
2025 J jnl
SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models.
CoRR
Pingyi Chen, Yujing Lou, Shen Cao, Jinhui Guo, Lubin Fan, Yue Wu, Lin Yang, Lizhuang Ma, Jieping Ye
2025 — conf
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning.
EMNLP (Findings)
Yue Xin, Chen Shen, Shaotian Yan, Xiaosong Yuan, Yaoming Wang, Xiaofeng Zhang, Chenxi Huang, Jieping Ye
2025 J jnl
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning.
CoRR
Yue Xin, Chen Shen, Shaotian Yan, Xiaosong Yuan, Yaoming Wang, Xiaofeng Zhang, Chenxi Huang, Jieping Ye
2025 J jnl
Self-Learning Symmetric Multi-View Probabilistic Clustering.
IEEE Trans. Knowl. Data Eng.
Junjie Liu, Junlong Liu, Rongxin Jiang, Yaowu Chen, Chen Shen, Jieping Ye
2025 A* conf
Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs.
EMNLP
Xiaofeng Zhang, Yihao Quan, Chen Shen, Chaochen Gu, Xiaosong Yuan, Shaotian Yan, Jiawei Cao, Hao Cheng, Kaijie Wu, Jieping Ye
2025 J jnl
Sketch-in-Latents: Eliciting Unified Reasoning in MLLMs.
CoRR
Jintao Tong, Jiaqi Gu, Yujing Lou, Lubin Fan, Yixiong Zou, Yue Wu, Jieping Ye, Ruixuan Li
2025 J jnl
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation.
CoRR
Deyi Ji, Feng Zhao, Hongtao Lu, Feng Wu, Jieping Ye
2025 J jnl
Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Deyi Ji, Feng Zhao, Hongtao Lu, Feng Wu, Jieping Ye
2025 — conf
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs.
KDD (2)
Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang
2025 — conf
Structure-aware Domain Knowledge Injection for Large Language Models.
ACL (1)
Kai Liu, Ze Chen, Zhihang Fu, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2025 — conf
The 14th International Workshop on Urban Computing.
KDD (2)
Yuxuan Liang, Yu Zheng, Chuishi Meng, Yanhua Li, Jieping Ye, Philip S. Yu, Ouri Wolfson
2025 J jnl
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs.
CoRR
Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye
2025 — conf
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions.
ACL (1)
Yiqun Wang, Chaoqun Wan, Sile Hu, Yonggang Zhang, Xiang Tian, Yaowu Chen, Xu Shen, Jieping Ye
2025 — conf
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models.
ACL (1)
Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu, Xinmei Tian, Xu Shen, Jieping Ye
2025 J jnl
Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation.
CoRR
Kaiyuan Liu, Shaotian Yan, Rui Miao, Bing Wang, Chen Shen, Jun Zhang, Jieping Ye
2024 J jnl
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
IEEE Trans. Knowl. Data Eng.
Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
2024 A* conf
A3S: A General Active Clustering Method with Pairwise Constraints.
ICML
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
2024 J jnl
A3S: A General Active Clustering Method with Pairwise Constraints.
CoRR
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
2024 — conf
AddressCLIP: Empowering Vision-Language Models for City-Wide Image Address Localization.
ECCV (28)
Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye
2024 J jnl
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization.
CoRR
Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye
2024 A* conf
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization.
ICLR
Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye
2024 J jnl
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues.
CoRR
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Le Lu, Jieping Ye, Nenghai Yu
2024 A* conf
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges.
NeurIPS
Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu
2024 J jnl
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges.
CoRR
Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu
2024 J jnl
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer.
CoRR
Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Qiao Liang, Min-Jian Zhao, Jieping Ye
2024 J jnl
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
CoRR
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
2024 J jnl
Context-Aware and Semantic-Consistent Spatial Interactions for One-Shot Object Detection Without Fine-Tuning.
IEEE Trans. Circuits Syst. Video Technol.
Hanqing Yang, Sijia Cai, Bing Deng, Jieping Ye, Guosheng Lin, Yu Zhang
2024 A* conf
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NeurIPS
Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
2024 J jnl
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
CoRR
Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
2024 J jnl
Differentiation of Multi-objective Data-driven Decision Pipeline.
CoRR
Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye
2024 A* conf
Discrete Latent Perspective Learning for Segmentation and Detection.
ICML
Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye
2024 J jnl
Discrete Latent Perspective Learning for Segmentation and Detection.
CoRR
Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye
2024 J jnl
ESOD: Efficient Small Object Detection on High-Resolution Images.
CoRR
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
2024 J jnl
Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge.
CoRR
Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024 A* conf
Efficient Denoising Diffusion via Probabilistic Masking.
ICML
Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen
2024 A* conf
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning.
CVPR
Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye
2024 J jnl
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights.
IEEE Robotics Autom. Lett.
Yunkai Wang, Quyu Kong, He Zhu, Dongkun Zhang, Longzhong Lin, Hao Sha, Xunlong Xia, Qiao Liang, Bing Deng, Ken Chen, Rong Xiong, Yue Wang, Jieping Ye
2024 A* conf
Enhancing LLM's Cognition via Structurization.
NeurIPS
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024 J jnl
Enhancing LLM's Cognition via Structurization.
CoRR
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024 A* conf
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.
NeurIPS
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
2024 J jnl
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.
CoRR
Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
2024 J jnl
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal.
IEEE Trans. Image Process.
Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu
2024 J jnl
From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models.
CoRR
Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye
2024 A* conf
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.
ICML
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 J jnl
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.
CoRR
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 J jnl
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
CoRR
Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
2024 A* conf
Graph-constrained diffusion for End-to-End Path Planning.
ICLR
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye
2024 J jnl
HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting.
CoRR
Jingyu Lin, Jiaqi Gu, Lubin Fan, Bojian Wu, Yujing Lou, Renjie Chen, Ligang Liu, Jieping Ye
2024 J jnl
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding.
CoRR
Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu
2024 A* conf
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.
ICLR
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
2024 J jnl
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.
CoRR
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
2024 A* conf
Instance-adaptive Zero-shot Chain-of-Thought Prompting.
NeurIPS
Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye
2024 J jnl
Instance-adaptive Zero-shot Chain-of-Thought Prompting.
CoRR
Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye
2024 A* conf
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding.
EMNLP
Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye
2024 A* conf
Interpreting and Improving Large Language Models in Arithmetic Calculation.
ICML
Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye
2024 J jnl
Interpreting and Improving Large Language Models in Arithmetic Calculation.
CoRR
Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye
2024 A* conf
LLaFS: When Large Language Models Meet Few-Shot Segmentation.
CVPR
Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu
2024 J jnl
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu
2024 — conf
Learning Neural Volumetric Pose Features for Camera Localization.
ECCV (45)
Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
2024 J jnl
Learning Neural Volumetric Pose Features for Camera Localization.
CoRR
Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
2024 — conf
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection.
EMNLP (Findings)
Tianxiang Chen, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Jieping Ye, Nenghai Yu
2024 J jnl
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection.
CoRR
Tianxiang Chen, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Jieping Ye, Nenghai Yu
2024 J jnl
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection.
CoRR
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Jieping Ye, Nenghai Yu
2024 J jnl
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Tianxiang Chen, Zi Ye, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Nenghai Yu, Jieping Ye
2024 J jnl
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection.
CoRR
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
2024 J jnl
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models.
CoRR
Jinhua Zhang, Hualian Sheng, Sijia Cai, Bing Deng, Qiao Liang, Wen Li, Ying Fu, Jieping Ye, Shuhang Gu
2024 A* conf
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs.
NeurIPS
Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong
2024 J jnl
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs.
CoRR
Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong
2024 J jnl
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL.
CoRR
Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye
2024 A* conf
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.
NeurIPS
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
2024 J jnl
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.
CoRR
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
2024 — conf
RoScenes: A Large-Scale Multi-view 3D Dataset for Roadside Perception.
ECCV (41)
Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye
2024 J jnl
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception.
CoRR
Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye
2024 J jnl
Robust Preference Optimization with Provable Noise Tolerance for LLMs.
CoRR
Xize Liang, Chao Chen, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye
2024 J jnl
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model.
Appl. Intell.
Tingjin Luo, Yang Yang, Dongyun Yi, Jieping Ye
2024 — conf
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph.
ACL (1)
Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye
2024 J jnl
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs.
CoRR
Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye
2024 J jnl
SciPIP: An LLM-based Scientific Paper Idea Proposer.
CoRR
Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye
2024 J jnl
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs.
CoRR
Xiaofeng Zhang, Yihao Quan, Chaochen Gu, Chen Shen, Xiaosong Yuan, Shaotian Yan, Hao Cheng, Kaijie Wu, Jieping Ye
2024 J jnl
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems.
VLDB J.
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2024 J jnl
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding.
CoRR
Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang
2024 J jnl
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.
IEEE Trans. Knowl. Data Eng.
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
2024 A* conf
The 13th International Workshop on Urban Computing.
KDD
Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2024 A* conf
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
KDD
Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
2024 J jnl
Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding.
CoRR
Deyi Ji, Lanyun Zhu, Siqi Gao, Peng Xu, Hongtao Lu, Jieping Ye, Feng Zhao
2024 A* conf
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering.
KDD
Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye
2024 J jnl
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering.
CoRR
Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye
2023 J jnl
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications.
IEEE Trans. Knowl. Data Eng.
Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
2023 J jnl
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR
Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
2023 J jnl
A survey on machine learning from few samples.
Pattern Recognit.
Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang
2023 A* conf
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
NeurIPS
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
2023 J jnl
Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning.
CoRR
Shaotian Yan, Chen Shen, Junjie Liu, Jieping Ye
2023 J jnl
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal.
CoRR
Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu
2023 A* conf
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.
KDD
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
2023 J jnl
LLaFS: When Large-Language Models Meet Few-Shot Segmentation.
CoRR
Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu
2023 J jnl
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.
CoRR
Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu
2023 A* conf
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment.
NeurIPS
Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye
2023 J jnl
Object Detection in 20 Years: A Survey.
Proc. IEEE
Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
2023 J jnl
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye
2023 A* conf
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection.
NeurIPS
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
2023 A* ed.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023
KDD
Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye
2023 J jnl
Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform.
Manag. Sci.
Wei Ai, Yan Chen, Qiaozhu Mei, Jieping Ye, Lingyu Zhang
2023 Misc conf
Rethinking Learning-Based Method for Lossless Genome Compression.
ICASSP
Han Yang, Fei Gu, Jieping Ye
2023 J jnl
Self-Learning Symmetric Multi-view Probabilistic Clustering.
CoRR
Junjie Liu, Junlong Liu, Rongxin Jiang, Xuesong Liu, Boxuan Gu, Yaowu Chen, Chen Shen, Jieping Ye
2023 A* conf
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module.
CVPR
Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye
2023 J jnl
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module.
CoRR
Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye
2023 A* conf
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
ICDE
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023 J jnl
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
CoRR
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
2023 A* conf
The 12th International Workshop on Urban Computing.
KDD
Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2023 A* conf
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.
ICDE
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
2023 J jnl
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.
CoRR
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
2023 A* conf
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark.
CVPR
Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
2023 J jnl
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark.
CoRR
Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
2023 A* conf
Uncertainty-aware Unsupervised Multi-Object Tracking.
ICCV
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
2023 J jnl
Uncertainty-aware Unsupervised Multi-Object Tracking.
CoRR
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
2022 J jnl
A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand.
IEEE Trans. Intell. Transp. Syst.
Siyuan Feng, Jintao Ke, Hai Yang, Jieping Ye
2022 J jnl
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream.
ACM Trans. Knowl. Discov. Data
Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye
2022 J jnl
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst.
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
2022 J jnl
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task.
IEEE Trans. Intell. Transp. Syst.
Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang
2022 A* conf
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
KDD
Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye
2022 — conf
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.
SIGMOD Conference
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022 J jnl
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng.
Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
2022 J jnl
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
IEEE Trans. Pattern Anal. Mach. Intell.
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2022 J jnl
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.
CoRR
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
2022 J jnl
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.
CoRR
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2022 J jnl
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization.
CoRR
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye
2022 A* conf
Rethinking Graph Convolutional Networks in Knowledge Graph Completion.
WWW
Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu
2022 J jnl
Rethinking Graph Convolutional Networks in Knowledge Graph Completion.
CoRR
Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu
2022 J jnl
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.
IEEE Trans. Neural Networks Learn. Syst.
Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
2022 J jnl
Scalable Distributed Hashing for Approximate Nearest Neighbor Search.
IEEE Trans. Image Process.
Yuan Cao, Junwei Liu, Heng Qi, Jie Gui, Keqiu Li, Jieping Ye, Chao Liu
2022 J jnl
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data
Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
2022 J jnl
Stochastic Gradient Descent without Full Data Shuffle.
CoRR
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
2022 A* conf
The 11th International Workshop on Urban Computing.
KDD
Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2022 A* conf
The 5th Artificial Intelligence of Things (AIoT) Workshop.
KDD
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl
2021 J jnl
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
CoRR
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2021 J jnl
Adversarial Training for Solving Inverse Problems in Image Processing.
IEEE Trans. Image Process.
Zhengxia Zou, Tianyang Shi, Zhenwei Shi, Jieping Ye
2021 A conf
Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only.
Interspeech
Jun Chen, Jieping Ye, Fengyi Tang, Jiayu Zhou
2021 J jnl
Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors].
IEEE Signal Process. Mag.
Lina J. Karam, Jay Katupitiya, Vicente Milanés, Ioannis Pitas, Jieping Ye
2021 J jnl
Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction.
IEEE Trans. Cybern.
Zhiyuan Liu, Yang Liu, Cheng Lyu, Jieping Ye
2021 A* conf
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
KDD
Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye
2021 J jnl
Equilibrium Analysis of Urban Traffic Networks with Ride-Sourcing Services.
Transp. Sci.
Zhengtian Xu, Zhibin Chen, Yafeng Yin, Jieping Ye
2021 Misc conf
FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention.
ICASSP
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye
2021 J jnl
Fast kNN Search in Weighted Hamming Space With Multiple Tables.
IEEE Trans. Image Process.
Jie Gui, Yuan Cao, Heng Qi, Keqiu Li, Jieping Ye, Chao Liu, Xiaowei Xu
2021 J jnl
Multi-Grained Attention Networks for Single Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol.
Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei
2021 A* conf
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
ICDM
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu
2021 J jnl
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.
IEEE Trans. Medical Imaging
Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2021 A* conf
Offline Model-based Adaptable Policy Learning.
NeurIPS
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
2021 J jnl
On Finite-Time Convergence of Actor-Critic Algorithm.
IEEE J. Sel. Areas Inf. Theory
Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2021 A* conf
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game.
ICML
Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021 J jnl
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game.
CoRR
Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021 J jnl
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn.
Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye
2021 J jnl
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding.
CoRR
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2021 J jnl
Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal.
Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2021 A* conf
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.
ICML
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
2021 J jnl
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning.
CoRR
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
2021 — conf
Reinforcement Learning for Ridesharing: A Survey.
ITSC
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
2021 J jnl
Reinforcement Learning for Ridesharing: A Survey.
CoRR
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
2021 A conf
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation.
BMVC
Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
2021 J jnl
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning.
IEEE Trans. Knowl. Data Eng.
Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye
2021 A* conf
The 4th Artificial Intelligence of Things (AIoT) Workshop.
KDD
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl
2021 A* conf
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
KDD
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2021 J jnl
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
CoRR
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2020 A conf
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.
CIKM
Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
2020 B conf
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias.
ICMI
Zehui Yu, Xiehe Huang, Xiubao Zhang, Haifeng Shen, Qun (Tracy) Li, Weihong Deng, Jian Tang, Yi Yang, Jieping Ye
2020 J jnl
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.
CoRR
Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
2020 J jnl
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications.
CoRR
Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
2020 J jnl
A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning.
CoRR
Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye
2020 — conf
AHINE: Adaptive Heterogeneous Information Network Embedding.
ICKG
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye
2020 J jnl
Adaptive Object Detection with Dual Multi-Label Prediction.
CoRR
Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020 — conf
Adaptive Object Detection with Dual Multi-label Prediction.
ECCV (28)
Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020 A* conf
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning.
AAAI
Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
2020 J jnl
Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction.
IEEE Trans. Intell. Transp. Syst.
Yang Liu, Zhiyuan Liu, Cheng Lyu, Jieping Ye
2020 J jnl
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation.
CoRR
Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye
2020 A* conf
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
AAAI
Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye
2020 J jnl
Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors].
IEEE Signal Process. Mag.
Lina J. Karam, Jay Katupitiya, Vicente Milanés, Ioannis Pitas, Jieping Ye
2020 — conf
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection.
ECCV Workshops (1)
Zhen Zhao, Yuhong Guo, Jieping Ye
2020 J jnl
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection.
CoRR
Zhen Zhao, Yuhong Guo, Jieping Ye
2020 A* conf
CompactETA: A Fast Inference System for Travel Time Prediction.
KDD
Kun Fu, Fanlin Meng, Jieping Ye, Zheng Wang
2020 B conf
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting.
ICPR
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
2020 J jnl
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting.
CoRR
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
2020 A* conf
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images.
CVPR
Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye
2020 J jnl
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
IEEE Trans. Big Data
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
2020 A* conf
Deep Natural Language Processing for Search and Recommendation.
SIGIR
Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha
2020 — conf
DiDi's Machine Translation System for WMT2020.
WMT@EMNLP
Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight
2020 J jnl
DiDi's Machine Translation System for WMT2020.
CoRR
Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight
2020 J jnl
Domain Adaptation with Incomplete Target Domains.
CoRR
Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye
2020 A* conf
Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction.
KDD
Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye
2020 J jnl
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data.
CoRR
Zhen Zhao, Bingyu Liu, Yuhong Guo, Jieping Ye
2020 J jnl
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention.
CoRR
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye
2020 J jnl
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification.
CoRR
Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye
2020 J jnl
Fusion Recurrent Neural Network.
CoRR
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
2020 A* conf
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival.
KDD
Huiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kun Fu, Zheng Wang, Xiaohu Qie, Jieping Ye
2020 A* conf
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
WWW
Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2020 J jnl
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
CoRR
Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2020 J jnl
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach.
CoRR
Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye
2020 A* conf
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.
NeurIPS
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
2020 J jnl
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.
CoRR
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
2020 J jnl
Learning from Very Few Samples: A Survey.
CoRR
Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang
2020 A conf
Masked-field Pre-training for User Intent Prediction.
CIKM
Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li, Jieping Ye
2020 J jnl
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution.
CoRR
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye
2020 B conf
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition.
ICMI
Mo Sun, Jian Li, Hui Feng, Wei Gou, Haifeng Shen, Jian Tang, Yi Yang, Jieping Ye
2020 J jnl
Mutual Learning Network for Multi-Source Domain Adaptation.
CoRR
Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
2020 A* conf
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy.
KDD
Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei
2020 J jnl
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy.
CoRR
Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei
2020 A* conf
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.
ICDE
Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu
2020 A* conf
PropagationNet: Propagate Points to Curve to Learn Structure Information.
CVPR
Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye
2020 J jnl
PropagationNet: Propagate Points to Curve to Learn Structure Information.
CoRR
Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye
2020 — conf
Real Time Object Detection for Traffic Based on Knowledge Distillation: 3
ICME Workshops
Yuan Zhao, Lyuwei Wang, Luanxuan Hou, Chunsheng Gan, Zhipeng Huang, Xu Hu, Haifeng Shen, Jieping Ye
2020 J jnl
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning.
INFORMS J. Appl. Anal.
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
2020 B conf
Road Network Metric Learning for Estimated Time of Arrival.
ICPR
Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
2020 J jnl
Road Network Metric Learning for Estimated Time of Arrival.
CoRR
Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
2020 J jnl
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction.
CoRR
Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
2020 J jnl
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation.
CoRR
Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
2020 J jnl
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots.
CoRR
Chao Xiong, Che Liu, Zijun Xu, Junfeng Jiang, Jieping Ye
2020 J jnl
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning.
CoRR
Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang
2020 J jnl
Successive Projection for Solving Systems of Nonlinear Equations/Inequalities.
CoRR
Wen-Jun Zeng, Jieping Ye
2020 A* conf
Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time.
KDD
Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye
2020 J jnl
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions.
CoRR
Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2020 A* conf
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss.
NeurIPS
Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang
2019 A* conf
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
KDD
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2019 J jnl
A Distributed Computing Platform for fMRI Big Data Analytics.
IEEE Trans. Big Data
Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu
2019 J jnl
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Kefei Liu, Jieping Ye, Yang Yang, Li Shen, Hui Jiang
2019 J jnl
AHINE: Adaptive Heterogeneous Information Network Embedding.
CoRR
Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
2019 A conf
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech.
INTERSPEECH
Jun Chen, Ji Zhu, Jieping Ye
2019 J jnl
An Attention-based Graph Neural Network for Heterogeneous Structural Learning.
CoRR
Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
2019 J jnl
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
CoRR
Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye
2019 A* conf
Automatic Dialogue Summary Generation for Customer Service.
KDD
Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, Jieping Ye
2019 J jnl
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution.
CoRR
Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye
2019 A conf
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation).
CIKM
Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye
2019 A conf
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CIKM
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 J jnl
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CoRR
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 A* conf
Cooperation-Aware Task Assignment in Spatial Crowdsourcing.
ICDE
Peng Cheng, Lei Chen, Jieping Ye
2019 J jnl
D
CoRR
Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye
2019 — conf
DBUS: Human Driving Behavior Understanding System.
ICCV Workshops
Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu
2019 A* conf
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.
IJCAI
Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
2019 J jnl
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem.
CoRR
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
ICDM
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Deep Reinforcement Learning with Applications in Transportation.
KDD
Zhiwei (Tony) Qin, Jian Tang, Jieping Ye
2019 A* conf
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
WWW
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019 J jnl
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
CoRR
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019 A* conf
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
KDD
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019 J jnl
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
CoRR
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019 J jnl
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng.
Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu
2019 A* conf
Generative Adversarial Training for Weakly Supervised Cloud Matting.
ICCV
Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye
2019 A* conf
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response.
NeurIPS
Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye
2019 J jnl
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services.
IEEE Trans. Intell. Transp. Syst.
Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye
2019 A* conf
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
ICDM
Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
2019 A* conf
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning.
AAAI
Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie
2019 A conf
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
CIKM
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
2019 J jnl
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
CoRR
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
2019 J jnl
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting.
CoRR
Xu Geng, Xiyu Wu, Lingyu Zhang, Qiang Yang, Yan Liu, Jieping Ye
2019 J jnl
Multi-grained Attention Networks for Single Image Super-Resolution.
CoRR
Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei
2019 — conf
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
HBAI@IJCAI
Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang
2019 J jnl
Multi-task learning based survival analysis for multi-source block-wise missing data.
Neurocomputing
Yan Li, Lu Wang, Jiayu Zhou, Jieping Ye
2019 J jnl
Object Detection in 20 Years: A Survey.
CoRR
Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye
2019 J jnl
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning.
CoRR
Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
2019 — conf
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
IEEE BigData
Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye
2019 J jnl
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
CoRR
Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu
2019 J jnl
POI Semantic Model with a Deep Convolutional Structure.
CoRR
Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye
2019 J jnl
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network.
CoRR
Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye
2019 A conf
Recommendation-based Team Formation for On-demand Taxi-calling Platforms.
CIKM
Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye
2019 J jnl
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle.
CoRR
Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
2019 J jnl
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
J. Mach. Learn. Res.
Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2019 A* conf
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting.
AAAI
Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu
2019 A* conf
Transportation: A Data Driven Approach.
KDD
Jieping Ye
2019 J jnl
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
J. Mach. Learn. Res.
Jie Wang, Zhanqiu Zhang, Jieping Ye
2019 J jnl
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach.
CoRR
Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire
2019 A* conf
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee.
AAAI
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2019 J jnl
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee.
CoRR
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
2018 J jnl
A Unified Approach to Route Planning for Shared Mobility.
Proc. VLDB Endow.
Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu
2018 A* conf
Big Data at Didi Chuxing.
SIGIR
Jieping Ye
2018 A* conf
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
AAAI
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018 J jnl
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
CoRR
Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018 A* conf
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
ICDM
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
2018 A* conf
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.
ICDE
Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han
2018 — conf
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
SIGMOD Conference
Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye
2018 J jnl
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.
CoRR
Shupeng Gui, Xiangliang Zhang, Shuang Qiu, Mingrui Wu, Jieping Ye, Ji Liu
2018 A* conf
Human-Centric Urban Transit Evaluation and Planning.
ICDM
Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
2018 J jnl
Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.
IEEE Trans. Knowl. Data Eng.
Weizhong Zhang, Tingjin Luo, Shuang Qiu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2018 A* conf
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach.
KDD
Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye
2018 — conf
Large-Scale Targeted Marketing by Supervised PageRank with Seeds.
MLDM (2)
Zhiwei (Tony) Qin, Chengxiang Zhuo, Wei Tan, Jun Xie, Jieping Ye
2018 A* conf
Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient.
KDD
Yan Li, Jieping Ye
2018 A* conf
Learning to Estimate the Travel Time.
KDD
Zheng Wang, Kun Fu, Jieping Ye
2018 A* conf
Margin Based PU Learning.
AAAI
Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin
2018 A conf
Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data.
SDM
Yan Li, Tao Yang, Jiayu Zhou, Jieping Ye
2018 A* conf
Multi-task Representation Learning for Travel Time Estimation.
KDD
Yaguang Li, Kun Fu, Zheng Wang, Cyrus Shahabi, Jieping Ye, Yan Liu
2018 — conf
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures.
ISBI
Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2018 J jnl
Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units.
IEEE Trans Autom. Sci. Eng.
Bashar Haddad, Sen Yang, Lina J. Karam, Jieping Ye, Nital S. Patel, Martin W. Braun
2018 — conf
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
IEEE BigData
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018 J jnl
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
CoRR
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018 J jnl
Order Dispatch in Price-aware Ridesharing.
Proc. VLDB Endow.
Libin Zheng, Lei Chen, Jieping Ye
2018 J jnl
Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data.
IEEE Trans. Knowl. Data Eng.
Lu Lin, Jianxin Li, Feng Chen, Jieping Ye, Jinpeng Huai
2018 J jnl
Safe Feature Screening for Generalized LASSO.
IEEE Trans. Pattern Anal. Mach. Intell.
Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian
2018 A* conf
TINET: Learning Invariant Networks via Knowledge Transfer.
KDD
Chen Luo, Zhengzhang Chen, Lu-An Tang, Anshumali Shrivastava, Zhichun Li, Haifeng Chen, Jieping Ye
2018 A* conf
Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms.
SIGIR
Lingyu Zhang, Wei Ai, Chuan Yuan, Yuhui Zhang, Jieping Ye
2017 A* conf
A Taxi Order Dispatch Model based On Combinatorial Optimization.
KDD
Lingyu Zhang, Tao Hu, Yue Min, Guobin Wu, Junying Zhang, Pengcheng Feng, Pinghua Gong, Jieping Ye
2017 J jnl
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2017 A conf
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning.
SDM
Yashu Liu, Shuang Qiu, Ping Zhang, Pinghua Gong, Fei Wang, Guoliang Xue, Jieping Ye
2017 J jnl
Coupled Support Vector Machines for Supervised Domain Adaptation.
CoRR
Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan
2017 A* conf
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks.
ICDE
Dong Wang, Wei Cao, Jian Li, Jieping Ye
2017 J jnl
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
CoRR
Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn
2017 J jnl
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection.
CoRR
Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan
2017 — conf
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.
ISBI
Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang
2017 J jnl
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng.
Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2017 J jnl
Flexible Online Task Assignment in Real-Time Spatial Data.
Proc. VLDB Endow.
Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu
2017 A* conf
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.
KDD
Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang
2017 J jnl
Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure.
CoRR
Tao Yang, Paul M. Thompson, Sihai Zhao, Jieping Ye
2017 J jnl
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR
Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2017 — conf
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline.
IPMI
Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
2017 J jnl
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images.
CoRR
Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang
2017 A* conf
Multi-task Survival Analysis.
ICDM
Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye
2017 J jnl
Nonconvex One-bit Single-label Multi-label Learning.
CoRR
Shuang Qiu, Tingjin Luo, Jieping Ye, Ming Lin
2017 A conf
Pruning Decision Trees via Max-Heap Projection.
SDM
Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye
2017 A* conf
Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
KDD
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
2017 — conf
Robust Self-Tuning Sparse Subspace Clustering.
ICDM Workshops
Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye
2017 A* conf
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
ICML
Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2017 — conf
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
MLMI@MICCAI
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
2017 J jnl
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
CoRR
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
2017 J jnl
Task fMRI data analysis based on supervised stochastic coordinate coding.
Medical Image Anal.
Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu
2017 — conf
Template-guided Functional Network Identification via Supervised Dictionary Learning.
ISBI
Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu
2017 A* conf
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
KDD
Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv
2016 A* conf
A Multi-Task Learning Formulation for Survival Analysis.
KDD
Yan Li, Jie Wang, Jieping Ye, Chandan K. Reddy
2016 — conf
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing.
NIPS
Ming Lin, Jieping Ye
2016 J jnl
A Non-convex One-Pass Framework for Generalized Factorization Machines and Rank-One Matrix Sensing.
CoRR
Ming Lin, Jieping Ye
2016 A* conf
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.
KDD
Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye
2016 J jnl
An Efficient Algorithm For Weak Hierarchical Lasso.
ACM Trans. Knowl. Discov. Data
Yashu Liu, Jie Wang, Jieping Ye
2016 A* conf
Annealed Sparsity via Adaptive and Dynamic Shrinking.
KDD
Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
2016 — conf
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
ISBI
Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Paul M. Thompson, Jieping Ye, Yalin Wang
2016 J jnl
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length.
Digit. Signal Process.
Kefei Liu, João Paulo C. L. da Costa, Hing-Cheung So, Lei Huang, Jieping Ye
2016 — conf
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
IEEE BigData
Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye
2016 B conf
Embedded sparse representation of fMRI data via group-wise dictionary optimization.
Image Processing
Dajiang Zhu, Binbin Lin, Joshua Faskowitz, Jieping Ye, Paul M. Thompson
2016 A* conf
Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models.
IJCAI
Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye
2016 J jnl
Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis.
Signal Process. Image Commun.
Lei Wang, Ce Zhu, Jieping Ye, Juergen Gall
2016 A* conf
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
KDD
Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016 — conf
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
MICCAI (1)
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 J jnl
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
ACM Trans. Knowl. Discov. Data
Pei Yang, Hongxia Yang, Haoda Fu, Dawei Zhou, Jieping Ye, Theodoros Lappas, Jingrui He
2016 J jnl
LSSLP - Local structure sensitive label propagation.
Inf. Sci.
Zhenfeng Zhu, Jian Cheng, Yao Zhao, Jieping Ye
2016 — conf
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
MICCAI (1)
Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2016 J jnl
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
CoRR
Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang
2016 — conf
Modeling functional network dynamics via multi-scale dictionary learning and network continuums.
ISBI
Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu
2016 B conf
Multi-feature sparse-based defect detection and classification in semiconductor units.
ICIP
Bashar Haddad, Lina J. Karam, Jieping Ye, Nital Patel, Martin W. Braun
2016 J jnl
Multidimensional folding for sinusoidal order selection.
Digit. Signal Process.
Kefei Liu, Lei Huang, Hing-Cheung So, Jieping Ye
2016 A* conf
Parallel Lasso Screening for Big Data Optimization.
KDD
Qingyang Li, Shuang Qiu, Shuiwang Ji, Paul M. Thompson, Jieping Ye, Jie Wang
2016 A* conf
Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression.
KDD
Zhi Nie, Pinghua Gong, Jieping Ye
2016 A* conf
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.
KDD
Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn
2016 J jnl
Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.
CoRR
Weizhong Zhang, Bin Hong, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang
2016 J jnl
Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR
Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric P. Xing, Jieping Ye
2016 A* conf
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
ICDM
Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy
2015 A* conf
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis.
ICML
Pinghua Gong, Jieping Ye
2015 J jnl
A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning.
IEEE Trans. Knowl. Data Eng.
Buyue Qian, Xiang Wang, Jieping Ye, Ian Davidson
2015 J jnl
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.
IEEE Trans. Pattern Anal. Mach. Intell.
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Qian Sun, Sethuraman Panchanathan, Jieping Ye
2015 Misc conf
Automated Gene Expression Pattern Annotation in the Mouse Brain.
Pacific Symposium on Biocomputing
Tao Yang, Xinlin Zhao, Binbin Lin, Tao Zeng, Shuiwang Ji, Jieping Ye
2015 A* conf
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.
KDD
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye
2015 — conf
Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition.
ISBI
Liang Zhan, Yashu Liu, Jiayu Zhou, Jieping Ye, Paul M. Thompson
2015 A* conf
Coupled Support Vector Machines for Supervised Domain Adaptation.
ACM Multimedia
Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan
2015 A* conf
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
KDD
Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji
2015 J jnl
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.
BMC Bioinform.
Tao Zeng, Rongjian Li, Ravi Mukkamala, Jieping Ye, Shuiwang Ji
2015 — conf
Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening.
ISBI
Tao Yang, Jie Wang, Qian Sun, Derrek P. Hibar, Neda Jahanshad, Li Liu, Yalin Wang, Liang Zhan, Paul M. Thompson, Jieping Ye
2015 A* conf
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction.
KDD
Zheng Wang, Prithwish Chakraborty, Sumiko R. Mekaru, John S. Brownstein, Jieping Ye, Naren Ramakrishnan
2015 A* conf
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection.
ICDM
Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan
2015 J jnl
Efficient nonconvex sparse group feature selection via continuous and discrete optimization.
Artif. Intell.
Shuo Xiang, Xiaotong Shen, Jieping Ye
2015 J jnl
Fused Lasso Screening Rules via the Monotonicity of Subdifferentials.
IEEE Trans. Pattern Anal. Mach. Intell.
Jie Wang, Wei Fan, Jieping Ye
2015 J jnl
Fused Multiple Graphical Lasso.
SIAM J. Optim.
Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye
2015 — conf
HONOR: Hybrid Optimization for NOn-convex Regularized problems.
NIPS
Pinghua Gong, Jieping Ye
2015 J jnl
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng.
Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu
2015 J jnl
Lasso screening rules via dual polytope projection.
J. Mach. Learn. Res.
Jie Wang, Peter Wonka, Jieping Ye
2015 Misc conf
Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values.
Pacific Symposium on Biocomputing
Zhi Nie, Tao Yang, Yashu Liu, Binbin Lin, Qingyang Li, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye
2015 A conf
Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning.
ICCAD
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 — conf
Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.
MICCAI (1)
Jinglei Lv, Binbin Lin, Wei Zhang, Xi Jiang, Xintao Hu, Junwei Han, Lei Guo, Jieping Ye, Tianming Liu
2015 — conf
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection.
NIPS
Jie Wang, Jieping Ye
2015 A* conf
Multi-Task Learning for Spatio-Temporal Event Forecasting.
KDD
Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015 J jnl
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion.
SIAM J. Sci. Comput.
Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye
2015 J jnl
Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Yu Cao, Jae-sun Seo
2015 J jnl
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
IEEE Trans. Medical Imaging
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak
2015 A ed.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015
SDM
Suresh Venkatasubramanian, Jieping Ye
2015 J jnl
Querying Discriminative and Representative Samples for Batch Mode Active Learning.
ACM Trans. Knowl. Discov. Data
Zheng Wang, Jieping Ye
2015 — conf
Recognizing Social Constructs from Textual Conversation.
HLT-NAACL
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 A* conf
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices.
ICML
Jie Wang, Jieping Ye
2015 J jnl
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices.
CoRR
Jie Wang, Jieping Ye
2015 Misc conf
Session Introduction.
Pacific Symposium on Biocomputing
Graciela Gonzalez, Chitta Baral, Jeff Kiefer, Suengchan Kim, Jieping Ye
2015 J jnl
Simultaneous pursuit of sparseness and rank structures for matrix decomposition.
J. Mach. Learn. Res.
Qi Yan, Jieping Ye, Xiaotong Shen
2015 A* conf
Structural Graphical Lasso for Learning Mouse Brain Connectivity.
KDD
Sen Yang, Qian Sun, Shuiwang Ji, Peter Wonka, Ian Davidson, Jieping Ye
2015 A conf
Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip.
DATE
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 A* conf
Transfer Learning for Bilingual Content Classification.
KDD
Qian Sun, Mohammad Shafkat Amin, Baoshi Yan, Craig Martell, Vita Markman, Anmol Bhasin, Jieping Ye
2015 A* conf
Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation.
KDD
Chia-Tung Kuo, Xiang Wang, Peter B. Walker, Owen T. Carmichael, Jieping Ye, Ian Davidson
2014 A* conf
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models.
ICML
Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye
2014 — conf
A Safe Screening Rule for Sparse Logistic Regression.
NIPS
Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye
2014 A* conf
An efficient algorithm for weak hierarchical lasso.
KDD
Yashu Liu, Jie Wang, Jieping Ye
2014 J jnl
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
NeuroImage
Rashmi Dubey, Jiayu Zhou, Yalin Wang, Paul M. Thompson, Jieping Ye
2014 J jnl
Automated annotation of developmental stages of
Bioinform.
Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye
2014 J jnl
Bi-level multi-source learning for heterogeneous block-wise missing data.
NeuroImage
Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye
2014 A* conf
Efficient multi-task feature learning with calibration.
KDD
Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye
2014 B conf
Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.
Image Processing
Sinchai Tsao, Niharika Gajawelli, Jiayu Zhou, Jie Shi, Jieping Ye, Yalin Wang, Natasha Leporé
2014 A* conf
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint.
ICML
Ji Liu, Jieping Ye, Ryohei Fujimaki
2014 A* conf
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records.
KDD
Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye
2014 J jnl
Generalization Bounds for Representative Domain Adaptation.
CoRR
Chao Zhang, Lei Zhang, Wei Fan, Jieping Ye
2014 A* conf
Geodesic Distance Function Learning via Heat Flow on Vector Fields.
ICML
Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye
2014 J jnl
Geodesic Distance Function Learning via Heat Flow on Vector Fields.
CoRR
Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye
2014 A conf
Image Cosegmentation via Multi-task Learning.
BMVC
Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li
2014 J jnl
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity.
CoRR
Pinghua Gong, Jieping Ye
2014 — ch.
Low-Rank and Sparse Multi-task Learning.
Low-Rank and Sparse Modeling for Visual Analysis
Jianhui Chen, Jiayu Zhou, Jieping Ye
2014 — conf
Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning.
BioCAS
Deepak Kadetotad, Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Yu Cao, Jae-sun Seo
2014 J jnl
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion.
CoRR
Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye
2014 — conf
Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity.
BICA
Zihan Xu, Abinash Mohanty, Pai-Yu Chen, Deepak Kadetotad, Binbin Lin, Jieping Ye, Sarma B. K. Vrudhula, Shimeng Yu, Jae-sun Seo, Yu Cao
2014 J jnl
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
CoRR
Moo K. Chung, Jamie L. Hanson, Jieping Ye, Richard J. Davidson, Seth D. Pollak
2014 A* conf
Rank-One Matrix Pursuit for Matrix Completion.
ICML
Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye
2014 A* conf
Safe Screening with Variational Inequalities and Its Application to Lasso.
ICML
Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye
2014 A* conf
Scaling SVM and Least Absolute Deviations via Exact Data Reduction.
ICML
Jie Wang, Peter Wonka, Jieping Ye
2014 Misc conf
Session introduction.
Pacific Symposium on Biocomputing
Graciela Gonzalez, Kevin Bretonnel Cohen, Robert Leaman, Casey S. Greene, Nigam Shah, Maricel G. Kann, Jieping Ye
2014 A* conf
Simultaneous feature and feature group selection through hard thresholding.
KDD
Shuo Xiang, Tao Yang, Jieping Ye
2014 Misc conf
Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients.
Pacific Symposium on Biocomputing
Yashu Liu, Zhi Nie, Jiayu Zhou, Michael Farnum, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye
2014 J jnl
Sparse trace norm regularization.
Comput. Stat.
Jianhui Chen, Jieping Ye
2014 J jnl
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.
CoRR
Binbin Lin, Qingyang Li, Qian Sun, Ming-Jun Lai, Ian Davidson, Wei Fan, Jieping Ye
2014 — conf
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
NIPS
Jie Wang, Jieping Ye
2014 J jnl
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
CoRR
Jie Wang, Jieping Ye
2014 J jnl
myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in
Bioinform.
Ivan Montiel, Charlotte Konikoff, Bremen L. Braun, Mary Packard, L. Sian Gramates, Qian Sun, Jieping Ye, Sudhir Kumar
2013 J jnl
A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
2013 J jnl
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
CoRR
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
2013 — conf
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems.
ICML (2)
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye
2013 J jnl
A Safe Screening Rule for Sparse Logistic Regression.
CoRR
Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye
2013 J jnl
A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2013 J jnl
A framework for interactive image color editing.
Vis. Comput.
Przemyslaw Musialski, Ming Cui, Jieping Ye, Anshuman Razdan, Peter Wonka
2013 A* conf
Active Learning from Relative Queries.
IJCAI
Buyue Qian, Xiang Wang, Fei Wang, Hongfei Li, Jieping Ye, Ian Davidson
2013 A* conf
Active Matrix Completion.
ICDM
Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye
2013 A* conf
An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems.
KDD
Sen Yang, Jie Wang, Wei Fan, Xiatian Zhang, Peter Wonka, Jieping Ye
2013 J jnl
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage
Yalin Wang, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, Paul M. Thompson
2013 J jnl
Batch Mode Active Sampling Based on Marginal Probability Distribution Matching.
ACM Trans. Knowl. Discov. Data
Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye
2013 J jnl
Efficient Methods for Overlapping Group Lasso.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Yuan, Jun Liu, Jieping Ye
2013 J jnl
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods.
CoRR
Jie Wang, Jun Liu, Jieping Ye
2013 — conf
Efficient Sparse Group Feature Selection via Nonconvex Optimization.
ICML (1)
Shuo Xiang, Xiaoshen Tong, Jieping Ye
2013 J jnl
Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization.
IEEE Trans. Pattern Anal. Mach. Intell.
Yao Hu, Debing Zhang, Jieping Ye, Xuelong Li, Xiaofei He
2013 A* conf
FeaFiner: biomarker identification from medical data through feature generalization and selection.
KDD
Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye
2013 J jnl
Generalization Bounds for Domain Adaptation
CoRR
Chao Zhang, Lei Zhang, Jieping Ye
2013 — conf
Guaranteed Sparse Recovery under Linear Transformation.
ICML (3)
Ji Liu, Lei Yuan, Jieping Ye
2013 J jnl
Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform.
Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye
2013 — conf
Joint Transfer and Batch-mode Active Learning.
ICML (3)
Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye
2013 — conf
Lasso Screening Rules via Dual Polytope Projection.
NIPS
Jie Wang, Jiayu Zhou, Peter Wonka, Jieping Ye
2013 J jnl
Modeling disease progression via multi-task learning.
NeuroImage
Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye
2013 A conf
Multi-objective Multi-view Spectral Clustering via Pareto Optimization.
SDM
Ian Davidson, Buyue Qian, Xiang Wang, Jieping Ye
2013 A* conf
Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
KDD
Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye
2013 J jnl
Multi-stage multi-task feature learning.
J. Mach. Learn. Res.
Pinghua Gong, Jieping Ye, Changshui Zhang
2013 J jnl
On Similarity Preserving Feature Selection.
IEEE Trans. Knowl. Data Eng.
Zheng Zhao, Lei Wang, Huan Liu, Jieping Ye
2013 A conf
Patient Risk Prediction Model via Top-k Stability Selection.
SDM
Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou
2013 A* conf
Querying discriminative and representative samples for batch mode active learning.
KDD
Zheng Wang, Jieping Ye
2013 A* conf
Robust principal component analysis via capped norms.
KDD
Qian Sun, Shuo Xiang, Jieping Ye
2013 J jnl
Safe Screening With Variational Inequalities and Its Applicaiton to LASSO.
CoRR
Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye
2013 J jnl
Scaling SVM and Least Absolute Deviations via Exact Data Reduction.
CoRR
Jie Wang, Peter Wonka, Jieping Ye
2013 Misc conf
Session introduction.
Pacific Symposium on Biocomputing
Graciela Gonzalez, Kevin Bretonnel Cohen, Casey S. Greene, Udo Hahn, Maricel G. Kann, Robert Leaman, Nigam Shah, Jieping Ye
2013 J jnl
Tensor Completion for Estimating Missing Values in Visual Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye
2012 J jnl
A Multi-Stage Framework for Dantzig Selector and LASSO.
J. Mach. Learn. Res.
Ji Liu, Peter Wonka, Jieping Ye
2012 J jnl
A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction.
IEEE Trans. Biomed. Eng.
Rita Chattopadhyay, Mark Jesunathadas, Brach Poston, Marco Santello, Jieping Ye, Sethuraman Panchanathan
2012 A* conf
Accelerated singular value thresholding for matrix completion.
KDD
Yao Hu, Debing Zhang, Jun Liu, Jieping Ye, Xiaofei He
2012 A* conf
Batch mode active sampling based on marginal probability distribution matching.
KDD
Rita Chattopadhyay, Zheng Wang, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye
2012 J jnl
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou
2012 J jnl
Efficient Sparse Group Feature Selection via Nonconvex Optimization
CoRR
Shuo Xiang, Xiaotong Shen, Jieping Ye
2012 J jnl
Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone.
Bioinform.
Sudhir Kumar, Kelly Boccia, Michael McCutchan, Jieping Ye
2012 A* conf
Feature grouping and selection over an undirected graph.
KDD
Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye
2012 J jnl
Fused Multiple Graphical Lasso
CoRR
Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye
2012 — conf
Generalization Bounds for Domain Adaptation.
NIPS
Chao Zhang, Lei Zhang, Jieping Ye
2012 J jnl
Lasso Screening Rules via Dual Polytope Projection
CoRR
Jie Wang, Peter Wonka, Jieping Ye
2012 J jnl
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks.
ACM Trans. Knowl. Discov. Data
Jianhui Chen, Ji Liu, Jieping Ye
2012 J jnl
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinform.
Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2012 A* conf
Matrix completion by Truncated Nuclear Norm Regularization.
CVPR
Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He
2012 A* conf
Modeling disease progression via fused sparse group lasso.
KDD
Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye
2012 — conf
Multi-Stage Multi-Task Feature Learning.
NIPS
Pinghua Gong, Jieping Ye, Changshui Zhang
2012 J jnl
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
CoRR
Jun Liu, Shuiwang Ji, Jieping Ye
2012 J jnl
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye
2012 A* conf
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.
KDD
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye
2012 — conf
Multi-task Vector Field Learning.
NIPS
Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He
2012 J jnl
Multisource domain adaptation and its application to early detection of fatigue.
ACM Trans. Knowl. Discov. Data
Rita Chattopadhyay, Qian Sun, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye
2012 A* conf
Optimal exact least squares rank minimization.
KDD
Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye
2012 B conf
Perspective Analysis for Online Debates.
ASONAM
Sukru Tikves, Sedat Gokalp, M'hamed H. Temkit, Sujogya Banerjee, Jieping Ye, Hasan Davulcu
2012 A* conf
Robust multi-task feature learning.
KDD
Pinghua Gong, Jieping Ye, Changshui Zhang
2012 J jnl
Sparse Trace Norm Regularization
CoRR
Jianhui Chen, Jieping Ye
2012 J jnl
Sparse methods for biomedical data.
SIGKDD Explor.
Jieping Ye, Jun Liu
2012 J jnl
Sparse non-negative tensor factorization using columnwise coordinate descent.
Pattern Recognit.
Ji Liu, Jun Liu, Peter Wonka, Jieping Ye
2011 — conf
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation.
NIPS
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye
2011 A* conf
A multi-task learning formulation for predicting disease progression.
KDD
Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye
2011 A* conf
Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
KDD
Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman
2011 J jnl
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Sun, Shuiwang Ji, Jieping Ye
2011 — conf
Clustered Multi-Task Learning Via Alternating Structure Optimization.
NIPS
Jiayu Zhou, Jianhui Chen, Jieping Ye
2011 — conf
Efficient Methods for Overlapping Group Lasso.
NIPS
Lei Yuan, Jun Liu, Jieping Ye
2011 J jnl
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks
Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu
2011 J jnl
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in
Bioinform.
Sudhir Kumar, Charlotte Konikoff, Bernard Van Emden, Christopher Busick, Kailah T. Davis, Shuiwang Ji, Lin-Wei Wu, Hector Ramos, Thomas Brody, Sethuraman Panchanathan, Jieping Ye, Timothy L. Karr, Kristyn Gerold, Michael McCutchan, Stuart J. Newfeld
2011 — conf
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
NIPS
Shuai Huang, Jing Li, Jieping Ye, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman
2011 A* conf
Integrating low-rank and group-sparse structures for robust multi-task learning.
KDD
Jianhui Chen, Jiayu Zhou, Jieping Ye
2011 J jnl
Integrating outlier filtering in large margin training.
J. Zhejiang Univ. Sci. C
Xichuan Zhou, Hai-bin Shen, Jieping Ye
2011 J jnl
Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
Computer
Jieping Ye, Teresa Wu, Jing Li, Kewei Chen
2011 J jnl
Matrix-variate and higher-order probabilistic projections.
Data Min. Knowl. Discov.
Shipeng Yu, Jinbo Bi, Jieping Ye
2011 A* conf
Multi-source domain adaptation and its application to early detection of fatigue.
KDD
Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan, Wei Fan, Ian Davidson
2011 — conf
Projection onto A Nonnegative Max-Heap.
NIPS
Jun Liu, Liang Sun, Jieping Ye
2011 — conf
Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG).
AAAI Spring Symposium: Computational Physiology
Rita Chattopadhyay, Jieping Ye, Sethuraman Panchanathan
2011 J jnl
Tuberculosis Surveillance by Analyzing Google Trends.
IEEE Trans. Biomed. Eng.
Xichuan Zhou, Jieping Ye, Yujie Feng
2010 A* conf
A scalable two-stage approach for a class of dimensionality reduction techniques.
KDD
Liang Sun, Betul Ceran, Jieping Ye
2010 J jnl
A shared-subspace learning framework for multi-label classification.
ACM Trans. Knowl. Discov. Data
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
2010 A* conf
An efficient algorithm for a class of fused lasso problems.
KDD
Jun Liu, Lei Yuan, Jieping Ye
2010 J jnl
Efficient L1/Lq Norm Regularization
CoRR
Jun Liu, Jieping Ye
2010 J jnl
Fast Overlapping Group Lasso
CoRR
Jun Liu, Jieping Ye
2010 C conf
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework.
ICMLA
Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye
2010 J jnl
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage
Shuai Huang, Jing Li, Liang Sun, Jieping Ye, Adam Fleisher, Teresa Wu, Kewei Chen, Eric Reiman
2010 A* conf
Learning incoherent sparse and low-rank patterns from multiple tasks.
KDD
Jianhui Chen, Ji Liu, Jieping Ye
2010 — conf
Moreau-Yosida Regularization for Grouped Tree Structure Learning.
NIPS
Jun Liu, Jieping Ye
2010 — conf
Multi-Stage Dantzig Selector.
NIPS
Ji Liu, Peter Wonka, Jieping Ye
2010 J jnl
Multiple structure alignment and consensus identification for proteins.
BMC Bioinform.
Ivaylo Ilinkin, Jieping Ye, Ravi Janardan
2010 J jnl
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.
SIAM J. Optim.
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
2009 J jnl
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingrui Wu, Jieping Ye
2009 J jnl
A bag-of-words approach for
BMC Bioinform.
Shuiwang Ji, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2009 A* conf
A convex formulation for learning shared structures from multiple tasks.
ICML
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
2009 A* conf
A least squares formulation for a class of generalized eigenvalue problems in machine learning.
ICML
Liang Sun, Shuiwang Ji, Jieping Ye
2009 A* conf
An accelerated gradient method for trace norm minimization.
ICML
Shuiwang Ji, Jieping Ye
2009 — ch.
Biological Image Analysis via Matrix Approximation.
Encyclopedia of Data Warehousing and Mining
Jieping Ye, Ravi Janardan, Sudhir Kumar
2009 J jnl
Compressed Facade Displacement Maps.
IEEE Trans. Vis. Comput. Graph.
Saif Ali, Jieping Ye, Anshuman Razdan, Peter Wonka
2009 A* conf
Drosophila gene expression pattern annotation using sparse features and term-term interactions.
KDD
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
2009 A* conf
DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IJCAI
Ying-Xin Li, Shuiwang Ji, Sudhir Kumar, Jieping Ye, Zhi-Hua Zhou
2009 A* conf
Efficient Euclidean projections in linear time.
ICML
Jun Liu, Jieping Ye
2009 — conf
Efficient Recovery of Jointly Sparse Vectors.
NIPS
Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye
2009 — ch.
Interest Pixel Mining.
Encyclopedia of Data Warehousing and Mining
Qi Li, Jieping Ye, Chandra Kambhamettu
2009 A* conf
Large-scale sparse logistic regression.
KDD
Jun Liu, Jianhui Chen, Jieping Ye
2009 — conf
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
NIPS
Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye
2009 A* conf
Learning the Optimal Neighborhood Kernel for Classification.
IJCAI
Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye
2009 A* conf
Linear Dimensionality Reduction for Multi-label Classification.
IJCAI
Shuiwang Ji, Jieping Ye
2009 A* conf
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
KDD
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye
2009 A* conf
Mining discrete patterns via binary matrix factorization.
KDD
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
2009 A conf
Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.
UAI
Jun Liu, Shuiwang Ji, Jieping Ye
2009 A* conf
Multiclass Probabilistic Kernel Discriminant Analysis.
IJCAI
Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye
2009 A* conf
Non-monotonic feature selection.
ICML
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King
2009 A* conf
On Multiple Kernel Learning with Multiple Labels.
IJCAI
Lei Tang, Jianhui Chen, Jieping Ye
2009 A* conf
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
IJCAI
Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye
2009 A* conf
Online learning by ellipsoid method.
ICML
Liu Yang, Rong Jin, Jieping Ye
2009 A* conf
Tensor completion for estimating missing values in visual data.
ICCV
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping Ye
2008 A* conf
A least squares formulation for canonical correlation analysis.
ICML
Liang Sun, Shuiwang Ji, Jieping Ye
2008 A* conf
A unified framework for generalized Linear Discriminant Analysis.
CVPR
Shuiwang Ji, Jieping Ye
2008 J jnl
Adaptive Appearance Based Face Recognition.
Int. J. Artif. Intell. Tools
Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu
2008 J jnl
Adaptive diffusion kernel learning from biological networks for protein function prediction.
BMC Bioinform.
Liang Sun, Shuiwang Ji, Jieping Ye
2008 J jnl
An evaluation of identity representability of facial expressions using feature distributions.
Neurocomputing
Qi Li, Chandra Kambhamettu, Jieping Ye
2008 J jnl
Automated annotation of
Bioinform.
Shuiwang Ji, Liang Sun, Rong Jin, Sudhir Kumar, Jieping Ye
2008 J jnl
Comments on the Complete Characterization of a Family of Solutions to a Generalized
J. Mach. Learn. Res.
Jieping Ye
2008 J jnl
Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.
ACM Trans. Knowl. Discov. Data
Jieping Ye, Jianhui Chen, Ravi Janardan, Sudhir Kumar
2008 A* conf
Extracting shared subspace for multi-label classification.
KDD
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
2008 J jnl
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.
IEEE Trans. Neural Networks
Shuiwang Ji, Jieping Ye
2008 A* conf
Heterogeneous data fusion for alzheimer's disease study.
KDD
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng Zhao, Rinkal Patel, Min Bae, Ravi Janardan, Huan Liu, Gene E. Alexander, Eric Reiman
2008 A* conf
Hypergraph spectral learning for multi-label classification.
KDD
Liang Sun, Shuiwang Ji, Jieping Ye
2008 A* conf
Identifying biologically relevant genes via multiple heterogeneous data sources.
KDD
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Yung Chang
2008 J jnl
Interest point detection using imbalance oriented selection.
Pattern Recognit.
Qi Li, Jieping Ye, Chandra Kambhamettu
2008 J jnl
Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng.
Shuiwang Ji, Jieping Ye
2008 A* conf
Learning subspace kernels for classification.
KDD
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Mingrui Wu, Jieping Ye
2008 J jnl
Multi-class Discriminant Kernel Learning via Convex Programming.
J. Mach. Learn. Res.
Jieping Ye, Shuiwang Ji, Jianhui Chen
2008 — conf
Multi-label Multiple Kernel Learning.
NIPS
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye
2008 C ed.
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007
ICMLA
M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez
2008 A* conf
Training SVM with indefinite kernels.
ICML
Jianhui Chen, Jieping Ye
2007 A* conf
Adaptive Distance Metric Learning for Clustering.
CVPR
Jieping Ye, Zheng Zhao, Huan Liu
2007 A* conf
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation.
CVPR
Vineeth Nallure Balasubramanian, Jieping Ye, Sethuraman Panchanathan
2007 A* conf
Discriminant kernel and regularization parameter learning via semidefinite programming.
ICML
Jieping Ye, Jianhui Chen, Shuiwang Ji
2007 — conf
Discriminative K-means for Clustering.
NIPS
Jieping Ye, Zheng Zhao, Mingrui Wu
2007 A* conf
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.
CVPR
Jianhui Chen, Jieping Ye, Qi Li
2007 A* conf
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
KDD
Jieping Ye, Shuiwang Ji, Jianhui Chen
2007 A* conf
Least squares linear discriminant analysis.
ICML
Jieping Ye
2007 A* conf
Nonlinear adaptive distance metric learning for clustering.
KDD
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
2007 A conf
SVM versus Least Squares SVM.
AISTATS
Jieping Ye, Tao Xiong
2006 B conf
Adaptive Appearance Based Face Recognition.
ICTAI
Qi Li, Jieping Ye, Min Li, Chandra Kambhamettu
2006 A conf
CPM: A Covariance-preserving Projection Method.
SDM
Jieping Ye, Tao Xiong, Ravi Janardan
2006 J jnl
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis.
J. Mach. Learn. Res.
Jieping Ye, Tao Xiong
2006 A conf
Efficient model selection for regularized linear discriminant analysis.
CIKM
Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu
2006 J jnl
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng.
Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
2006 — conf
Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction.
CVPR Workshops
Qi Li, Chandra Kambhamettu, Jieping Ye
2006 — conf
Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach.
CVPR (1)
Tao Xiong, Jieping Ye, Vladimir Cherkassky
2006 C conf
Multiple Structure Alignment and Consensus Identification for Proteins.
WABI
Jieping Ye, Ivaylo Ilinkin, Ravi Janardan, Adam Isom
2006 A* conf
Null space versus orthogonal linear discriminant analysis.
ICML
Jieping Ye, Tao Xiong
2006 A* conf
Regularized discriminant analysis for high dimensional, low sample size data.
KDD
Jieping Ye, Tie Wang
2006 J jnl
Spatial interest pixels (SIPs): useful low-level features of visual media data.
Multim. Tools Appl.
Qi Li, Jieping Ye, Chandra Kambhamettu
2006 C ed.
The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006
ICMLA
M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu
2005 A conf
2-Dimensional Singular Value Decomposition for 2D Maps and Images.
SDM
Chris H. Q. Ding, Jieping Ye
2005 J jnl
A Two-Stage Linear Discriminant Analysis via QR-Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell.
Jieping Ye, Qi Li
2005 J jnl
Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems.
J. Mach. Learn. Res.
Jieping Ye
2005 J jnl
Generalized Low Rank Approximations of Matrices.
Mach. Learn.
Jieping Ye
2005 J jnl
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition.
IEEE Trans. Knowl. Data Eng.
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
2004 J jnl
An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems.
IEEE Trans. Pattern Anal. Mach. Intell.
Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
2004 J jnl
Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance.
J. Comput. Biol.
Jieping Ye, Ravi Janardan
2004 — conf
Efficient Kernel Discriminant Analysis via QR Decomposition.
NIPS
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky
2004 A* conf
Feature extraction via generalized uncorrelated linear discriminant analysis.
ICML
Jieping Ye, Ravi Janardan, Qi Li, Haesun Park
2004 A* conf
GPCA: an efficient dimension reduction scheme for image compression and retrieval.
KDD
Jieping Ye, Ravi Janardan, Qi Li
2004 A* conf
Generalized low rank approximations of matrices.
ICML
Jieping Ye
2004 A* conf
IDR/QR: an incremental dimension reduction algorithm via QR decomposition.
KDD
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
2004 J jnl
LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation.
Pattern Recognit.
Jieping Ye, Qi Li
2004 — conf
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study.
CVPR (2)
Qi Li, Jieping Ye, Chandra Kambhamettu
2004 J jnl
Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation.
J. Bioinform. Comput. Biol.
Jieping Ye, Ravi Janardan, Songtao Liu
2004 — conf
Two-Dimensional Linear Discriminant Analysis.
NIPS
Jieping Ye, Ravi Janardan, Qi Li
2004 J jnl
Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jieping Ye, Tao Li, Tao Xiong, Ravi Janardan
2003 A* conf
A new optimization criterion for generalized discriminant analysis on undersampled problems.
ICDM
Jieping Ye, Ravi Janardan, Cheong Hee Park, Haesun Park
2003 B conf
Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry.
ICTAI
Jieping Ye, Ravi Janardan, Songtao Liu
2003 A* conf
Spatial Interest Pixels (SIPs): Useful Low-Level Features of Visual Media Data.
ICDM
Qi Li, Jieping Ye, Chandra Kambhamettu
2000 J jnl
Approximation of minimum energy curves.
Appl. Math. Comput.
Ruibin Qu, Jieping Ye
2000 J jnl
Efficient approximation of minimum energy curves with interpolatory constraints.
Appl. Math. Comput.
Ruibin Qu, Jieping Ye