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2020 – today
- 2024
[j137]Tingjin Luo
, Yang Yang, Dongyun Yi, Jieping Ye:
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model. Appl. Intell. 54(3): 2867-2880 (2024)- [j136]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11273-11286 (2024) - [j135]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:
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 9(9): 7915-7922 (2024) - [j134]Tianxiang Chen, Zi Ye, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Nenghai Yu, Jieping Ye:
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j133]Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu:
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal. IEEE Trans. Image Process. 33: 1683-1698 (2024) - [j132]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [j131]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:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Trans. Knowl. Data Eng. 36(12): 7516-7535 (2024) - [j130]Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang:
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. 33(5): 1231-1255 (2024) - [c282]Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. ACL (1) 2024: 4345-4360 - [c281]Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu:
LLaFS: When Large Language Models Meet Few-Shot Segmentation. CVPR 2024: 3065-3075 - [c280]Wei Zhang, Chaoqun Wan, Tongliang Liu, Xinmei Tian, Xu Shen, Jieping Ye:
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning. CVPR 2024: 18504-18515 - [c279]Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye:
AddressCLIP: Empowering Vision-Language Models for City-Wide Image Address Localization. ECCV (28) 2024: 76-92 - [c278]Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye:
Learning Neural Volumetric Pose Features for Camera Localization. ECCV (45) 2024: 198-214 - [c277]Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye:
RoScenes: A Large-Scale Multi-view 3D Dataset for Roadside Perception. ECCV (41) 2024: 331-347 - [c276]Tianxiang Chen, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Jieping Ye, Nenghai Yu:
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection. EMNLP (Findings) 2024: 5991-6002 - [c275]Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye:
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. EMNLP 2024: 14616-14632 - [c274]Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye:
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection. ICLR 2024 - [c273]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye:
Graph-constrained diffusion for End-to-End Path Planning. ICLR 2024 - [c272]Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye:
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. ICLR 2024 - [c271]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML 2024 - [c270]Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang:
A3S: A General Active Clustering Method with Pairwise Constraints. ICML 2024 - [c269]Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye:
Discrete Latent Perspective Learning for Segmentation and Detection. ICML 2024 - [c268]Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye:
Interpreting and Improving Large Language Models in Arithmetic Calculation. ICML 2024 - [c267]Weizhong Zhang, Zhiwei Zhang, Renjie Pi, Zhongming Jin, Yuan Gao, Jieping Ye, Kani Chen:
Efficient Denoising Diffusion via Probabilistic Masking. ICML 2024 - [c266]Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye:
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering. KDD 2024: 2888-2899 - [c265]Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye:
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD 2024: 6722-6723 - [c264]Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 13th International Workshop on Urban Computing. KDD 2024: 6727-6728 - [i138]Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Le Lu, Jieping Ye, Nenghai Yu:
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues. CoRR abs/2402.02327 (2024) - [i137]Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye:
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection. CoRR abs/2402.03744 (2024) - [i136]Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye:
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection. CoRR abs/2402.10062 (2024) - [i135]Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu:
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding. CoRR abs/2402.18476 (2024) - [i134]Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Jieping Ye, Nenghai Yu:
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection. CoRR abs/2403.02148 (2024) - [i133]Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye:
Learning Neural Volumetric Pose Features for Camera Localization. CoRR abs/2403.12800 (2024) - [i132]Xize Liang, Chao Chen, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye:
Robust Preference Optimization with Provable Noise Tolerance for LLMs. CoRR abs/2404.04102 (2024) - [i131]Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye:
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception. CoRR abs/2405.09883 (2024) - [i130]Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye:
Differentiation of Multi-objective Data-driven Decision Pipeline. CoRR abs/2406.00779 (2024) - [i129]Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye:
From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models. CoRR abs/2406.06579 (2024) - [i128]Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Qiao Liang, Min-Jian Zhao, Jieping Ye:
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer. CoRR abs/2406.08152 (2024) - [i127]Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye:
Discrete Latent Perspective Learning for Segmentation and Detection. CoRR abs/2406.10475 (2024) - [i126]Jinhua Zhang, Hualian Sheng, Sijia Cai, Bing Deng, Qiao Liang, Wen Li, Ying Fu, Jieping Ye, Shuhang Gu:
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models. CoRR abs/2407.06109 (2024) - [i125]Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye:
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization. CoRR abs/2407.08156 (2024) - [i124]Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye:
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering. CoRR abs/2407.09120 (2024) - [i123]Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang:
A3S: A General Active Clustering Method with Pairwise Constraints. CoRR abs/2407.10196 (2024) - [i122]Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye:
ESOD: Efficient Small Object Detection on High-Resolution Images. CoRR abs/2407.16424 (2024) - [i121]Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye:
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution. CoRR abs/2407.16430 (2024) - [i120]Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye:
Enhancing LLM's Cognition via Structurization. CoRR abs/2407.16434 (2024) - [i119]Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye:
Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge. CoRR abs/2407.16724 (2024) - [i118]Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye:
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. CoRR abs/2407.16725 (2024) - [i117]Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye:
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. CoRR abs/2408.10286 (2024) - [i116]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR abs/2409.01658 (2024) - [i115]Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye:
Interpreting and Improving Large Language Models in Arithmetic Calculation. CoRR abs/2409.01659 (2024) - [i114]Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye:
Instance-adaptive Zero-shot Chain-of-Thought Prompting. CoRR abs/2409.20441 (2024) - [i113]Tianxiang Chen, Zhentao Tan, Tao Gong, Yue Wu, Qi Chu, Bin Liu, Jieping Ye, Nenghai Yu:
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection. CoRR abs/2410.02330 (2024) - [i112]Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye:
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. CoRR abs/2410.02811 (2024) - [i111]Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang:
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding. CoRR abs/2410.03553 (2024) - [i110]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? CoRR abs/2410.18808 (2024) - [i109]Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye:
SciPIP: An LLM-based Scientific Paper Idea Proposer. CoRR abs/2410.23166 (2024) - [i108]Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong:
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs. CoRR abs/2410.23875 (2024) - 2023
- [j129]Wei Ai, Yan Chen, Qiaozhu Mei, Jieping Ye, Lingyu Zhang:
Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform. Manag. Sci. 69(9): 5336-5353 (2023) - [j128]Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye:
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15260-15274 (2023) - [j127]Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye:
Object Detection in 20 Years: A Survey. Proc. IEEE 111(3): 257-276 (2023) - [j126]Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang:
A survey on machine learning from few samples. Pattern Recognit. 139: 109480 (2023) - [j125]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35(4): 3313-3332 (2023) - [c263]Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye:
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. CVPR 2023: 693-703 - [c262]Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye:
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. CVPR 2023: 23621-23630 - [c261]Han Yang, Fei Gu, Jieping Ye:
Rethinking Learning-Based Method for Lossless Genome Compression. ICASSP 2023: 1-5 - [c260]Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye:
Uncertainty-aware Unsupervised Multi-Object Tracking. ICCV 2023: 9962-9971 - [c259]Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. ICDE 2023: 776-788 - [c258]Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE 2023: 3389-3402 - [c257]Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 12th International Workshop on Urban Computing. KDD 2023: 5874-5875 - [c256]Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan:
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. KDD 2023: 5878-5879 - [c255]Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye:
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection. NeurIPS 2023 - [c254]Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye:
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. NeurIPS 2023 - [c253]Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye:
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment. NeurIPS 2023 - [e4]Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023 [contents] - [i107]Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. CoRR abs/2303.03024 (2023) - [i106]Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye:
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. CoRR abs/2303.04346 (2023) - [i105]Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma:
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR abs/2305.04832 (2023) - [i104]Junjie Liu, Junlong Liu, Rongxin Jiang, Xuesong Liu, Boxuan Gu, Yaowu Chen, Chen Shen, Jieping Ye:
Self-Learning Symmetric Multi-view Probabilistic Clustering. CoRR abs/2305.07307 (2023) - [i103]Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye:
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. CoRR abs/2305.10899 (2023) - [i102]Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu:
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal. CoRR abs/2306.09008 (2023) - [i101]Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye:
Uncertainty-aware Unsupervised Multi-Object Tracking. CoRR abs/2307.15409 (2023) - [i100]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:
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR abs/2309.01194 (2023) - [i99]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR abs/2309.14907 (2023) - [i98]Shaotian Yan, Chen Shen, Junjie Liu, Jieping Ye:
Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning. CoRR abs/2310.03309 (2023) - [i97]Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu:
LLaFS: When Large-Language Models Meet Few-Shot Segmentation. CoRR abs/2311.16926 (2023) - 2022
- [j124]Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 770-782 (2022) - [j123]Yuan Cao, Junwei Liu, Heng Qi, Jie Gui, Keqiu Li, Jieping Ye, Chao Liu:
Scalable Distributed Hashing for Approximate Nearest Neighbor Search. IEEE Trans. Image Process. 31: 472-484 (2022) - [j122]Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang:
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task. IEEE Trans. Intell. Transp. Syst. 23(5): 4037-4048 (2022) - [j121]Siyuan Feng, Jintao Ke, Hai Yang, Jieping Ye:
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. 23(6): 5704-5716 (2022) - [j120]Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang:
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23(12): 23231-23243 (2022) - [j119]Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye:
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. ACM Trans. Knowl. Discov. Data 16(2): 29:1-29:30 (2022) - [j118]Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan:
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16(2): 40:1-40:28 (2022) - [j117]Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye:
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework. IEEE Trans. Knowl. Data Eng. 34(5): 2280-2292 (2022) - [j116]Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi:
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2301-2312 (2022) - [c252]Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye:
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2022: 4878-4879 - [c251]Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson:
The 11th International Workshop on Urban Computing. KDD 2022: 4886-4887 - [c250]Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl:
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD 2022: 4912-4913 - [c249]Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang:
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference 2022: 1286-1300 - [c248]Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu:
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. WWW 2022: 798-807 - [i96]Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu:
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. CoRR abs/2202.05679 (2022) - [i95]Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu:
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR abs/2202.10887 (2022) - [i94]Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang:
Stochastic Gradient Descent without Full Data Shuffle. CoRR abs/2206.05830 (2022) - [i93]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye:
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR abs/2206.08181 (2022) - [i92]Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang:
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. CoRR abs/2207.12463 (2022) - 2021
- [j115]Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
On Finite-Time Convergence of Actor-Critic Algorithm. IEEE J. Sel. Areas Inf. Theory 2(2): 652-664 (2021) - [j114]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:
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021) - [j113]Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye:
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. Mach. Learn. 110(9): 2603-2640 (2021) - [j112]Lina J. Karam, Jay Katupitiya, Vicente Milanés, Ioannis Pitas, Jieping Ye:
Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors]. IEEE Signal Process. Mag. 38(1): 20-21 (2021) - [j111]