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Kai Zheng 0001
郑 凯
Person information
- affiliation: University of Electronic Science and Technology of China, Chengdu, China
- affiliation (former): Soochow University, Suzhou, China
- affiliation (former): University of Queensland, Brisbane, Australia
- unicode name: 郑 凯
Other persons with the same name
- Kai Zheng — disambiguation page
- Kai Zheng 0002 — University of California, Irvine, Department of Informatics, CA, USA (and 1 more)
- Kai Zheng 0003
— Huawei Technologies, Beijing, China (and 2 more)
- Kai Zheng 0004
— Dalian Maritime University, Dalian, China (and 2 more)
- Kai Zheng 0005 — Shanghai Jiao Tong University, Shanghai, China
- Kai Zheng 0006 — Wuhan University of Technology, Wuhan, China
- Kai Zheng 0007 — Peking University, Beijing, China
- Kai Zheng 0008 — East China Normal University, Shanghai, China
- Kai Zheng 0009 — Arcelor Mittal, Chicago, IL, USA (and 1 more)
- Kai Zheng 0010 — Beijing University of Science and Technology, Beijing, China (and 1 more)
- Kai Zheng 0011 — University of Science and Technology of China, Hefei, China
- Kai Zheng 0012 — Xiamen University, Xiamen, China
- Kai Zheng 0013 — Intel Corporation, Shanghai, China
- Kai Zheng 0014 — South China Normal University, Guangzhou, China
- Kai Zheng 0015 — North China Electric Power University, Beijing, China
- Kai Zheng 0016 — TaiYuan University of Technology, Shanxi, China
- Kai Zheng 0017 — Stony Brook University, Stony Brook, NY, USA
- Kai Zheng 0018 — Xi'an Jiaotong-Liverpool University, Department of Computer Science and Software Engineering, Suzhou, China
- Kai Zheng 0019
— Chongqing University of Posts and Telecommunications, Department of Mechanical Engineering, School of Advanced Manufacturing Engineering, China
- Kai Zheng 0020
— China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
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2020 – today
- 2024
- [j117]Hao Miao
, Xiaolong Zhong
, Jiaxin Liu
, Yan Zhao
, Xiangyu Zhao
, Weizhu Qian
, Kai Zheng
, Christian S. Jensen
:
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 36(4): 1800-1814 (2024) - [j116]Kai Huang
, Yue Cui
, Qingqing Ye
, Yan Zhao
, Xi Zhao
, Yao Tian
, Kai Zheng
, Haibo Hu
, Xiaofang Zhou
:
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. 36(5): 2224-2238 (2024) - [j115]Weizhu Qian
, Yan Zhao
, Dalin Zhang
, Bowei Chen
, Kai Zheng
, Xiaofang Zhou
:
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36(5): 2239-2256 (2024) - [j114]Yuchen Fang
, Yanjun Qin
, Haiyong Luo
, Fang Zhao
, Kai Zheng
:
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36(6): 2671-2685 (2024) - [j113]Shuncheng Liu
, Xu Chen
, Yan Zhao
, Han Su
, Xiaofang Zhou
, Kai Zheng
:
Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle. IEEE Trans. Knowl. Data Eng. 36(7): 2927-2941 (2024) - [j112]Ruiqi Zheng
, Liang Qu
, Tong Chen
, Kai Zheng
, Yuhui Shi
, Hongzhi Yin
:
Personalized Elastic Embedding Learning for On-Device Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3363-3375 (2024) - [j111]Yan Zhao
, Xuanlei Chen
, Guanyu Ye
, Fangda Guo
, Kai Zheng
, Xiaofang Zhou
:
Task Allocation in Spatial Crowdsourcing: An Efficient Geographic Partition Framework. IEEE Trans. Knowl. Data Eng. 36(9): 4943-4955 (2024) - [j110]Yan Zhao
, Kai Zheng, Ziwei Wang, Liwei Deng, Bin Yang
, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou:
Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing. VLDB J. 33(1): 163-184 (2024) - [j109]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [c192]Haitian Chen
, Xu Chen
, Zibo Liang
, Xiushi Feng
, Jiandong Xie
, Han Su
, Kai Zheng
:
Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection. CIKM 2024: 218-227 - [c191]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
Large Language Models Enhanced Collaborative Filtering. CIKM 2024: 2178-2188 - [c190]Runfan Ye
, Zibo Liang
, Xu Chen
, Shuncheng Liu
, Kai Zheng
:
A Cause-Focused Query Optimizer Alert System. CIKM 2024: 2981-2990 - [c189]Zihua Si
, Lin Guan
, Zhongxiang Sun
, Xiaoxue Zang
, Jing Lu
, Yiqun Hui
, Xingchao Cao
, Zeyu Yang
, Yichen Zheng
, Dewei Leng
, Kai Zheng
, Chenbin Zhang
, Yanan Niu
, Yang Song
, Kun Gai
:
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. CIKM 2024: 4890-4897 - [c188]Waner Li, Xu Chen, Zibo Liang, Runfan Ye, Ruyi Lai, Siying Yue, Qinyuan Su, Kai Zheng, Han Su, Shaozhi Wu:
FAITH: A Fast, Accurate, and Lightweight Database-Agnostic Learned Cost Model. DASFAA (Workshops) 2024: 27-41 - [c187]Quanlin Yu, Yuyang Xia, Shuncheng Liu, Weijie Lian, Rui Hu, Zhengzhuo Zhang, Shaozhi Wu, Kai Zheng, Han Su:
MODUS: An Impact-Aware Decision Framework with Adaptive Fusion for Connected Autonomous Vehicles. DASFAA (7) 2024: 53-69 - [c186]Rui Hu, Yuze Wang, Ximu Zeng, Shuncheng Liu, Quanlin Yu, Peicong Wu, Zhengzhuo Zhang, Han Su, Kai Zheng:
Imitation Learning Decision with Driving Style Tuning for Personalized Autonomous Driving. DASFAA (7) 2024: 220-231 - [c185]Liwei Deng, Yan Zhao, Yue Cui, Yuyang Xia, Jin Chen, Kai Zheng:
Task Recommendation in Spatial Crowdsourcing: A Trade-Off Between Diversity and Coverage. ICDE 2024: 276-288 - [c184]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. ICDE 2024: 1050-1062 - [c183]Yuchen Fang, Jiandong Xie, Yan Zhao, Lu Chen, Yunjun Gao, Kai Zheng:
Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection. ICDE 2024: 1228-1241 - [c182]Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao:
Real-Time Trajectory Synthesis with Local Differential Privacy. ICDE 2024: 1685-1698 - [c181]Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song:
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. ICDE 2024: 2889-2903 - [c180]Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. ICDE 2024: 2986-2999 - [c179]Xinyi Gao, Tong Chen
, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin
:
Graph Condensation for Inductive Node Representation Learning. ICDE 2024: 3056-3069 - [c178]Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li:
LightTR: A Lightweight Framework for Federated Trajectory Recovery. ICDE 2024: 4422-4434 - [c177]Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng:
Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving. ICDE 2024: 4463-4476 - [c176]Liwei Deng, Yan Zhao, Jin Chen, Shuncheng Liu, Yuyang Xia, Kai Zheng:
Learning to Hash for Trajectory Similarity Computation and Search. ICDE 2024: 4491-4503 - [c175]Zhihao Zeng, Ziquan Fang, Lu Chen, Yunjun Gao, Kai Zheng, Gang Chen:
FedCTQ: A Federated-Based Framework for Accurate and Efficient Contact Tracing Query. ICDE 2024: 4628-4642 - [c174]Zibo Liang, Xu Chen, Yuyang Xia, Runfan Ye, Haitian Chen, Jiandong Xie, Kai Zheng:
DACE: A Database-Agnostic Cost Estimator. ICDE 2024: 4925-4937 - [c173]Teng Shi, Zihua Si
, Jun Xu, Xiao Zhang, Xiaoxue Zang
, Kai Zheng
, Dewei Leng, Yanan Niu, Yang Song:
UniSAR: Modeling User Transition Behaviors between Search and Recommendation. SIGIR 2024: 1029-1039 - [c172]Ruiqi Zheng
, Liang Qu
, Tong Chen
, Kai Zheng
, Yuhui Shi
, Hongzhi Yin
:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. SIGIR 2024: 1712-1721 - [c171]Zihua Si, Zhongxiang Sun, Jiale Chen, Guozhang Chen, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu, Kun Gai:
Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning. SIGIR-AP 2024: 154-163 - [c170]Yupu Zhang
, Guanglin Cong
, Jihan Qu
, Ran Xu
, Yuan Fu
, Weiqi Li, Feiran Hu
, Jing Liu
, Wenliang Zhang
, Kai Zheng
:
ESTELLE: An Efficient and Cost-effective Cloud Log Engine. SIGMOD Conference Companion 2024: 201-213 - [c169]Jing Long
, Tong Chen
, Guanhua Ye
, Kai Zheng
, Quoc Viet Hung Nguyen
, Hongzhi Yin
:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. WWW 2024: 3379-3387 - [c168]Kai Zheng
, Haijun Zhao
, Rui Huang
, Beichuan Zhang
, Na Mou
, Yanan Niu
, Yang Song
, Hongning Wang
, Kun Gai
:
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. WWW 2024: 3621-3631 - [i57]Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Nguyen Quoc Viet Hung, Hongzhi Yin:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. CoRR abs/2401.14583 (2024) - [i56]Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang
, Kai Zheng, Xiaofang Zhou:
Adaptive Hypergraph Network for Trust Prediction. CoRR abs/2402.05154 (2024) - [i55]Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen
, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng:
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR abs/2403.14151 (2024) - [i54]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
Large Language Models Enhanced Collaborative Filtering. CoRR abs/2403.17688 (2024) - [i53]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures. CoRR abs/2404.01177 (2024) - [i52]Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song:
UniSAR: Modeling User Transition Behaviors between Search and Recommendation. CoRR abs/2404.09520 (2024) - [i51]Yujia Hu, Yuntao Du, Zhikun Zhang, Ziquan Fang, Lu Chen, Kai Zheng, Yunjun Gao:
Real-Time Trajectory Synthesis with Local Differential Privacy. CoRR abs/2404.11450 (2024) - [i50]Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen:
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data. CoRR abs/2404.14999 (2024) - [i49]Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li:
LightTR: A Lightweight Framework for Federated Trajectory Recovery. CoRR abs/2405.03409 (2024) - [i48]Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai:
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. CoRR abs/2405.04844 (2024) - [i47]Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song, Kun Gai:
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. CoRR abs/2407.16357 (2024) - [i46]Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR abs/2408.12153 (2024) - [i45]Wentian Bao, Hu Liu, Kai Zheng, Chao Zhang, Shunyu Zhang, Enyun Yu, Wenwu Ou, Yang Song:
Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search. CoRR abs/2409.11281 (2024) - [i44]Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu:
LargePiG: Your Large Language Model is Secretly a Pointer Generator. CoRR abs/2410.11366 (2024) - [i43]Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu, Xiao Zhang, Weijie Yu, Han Li:
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability. CoRR abs/2410.11414 (2024) - [i42]Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai:
RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR abs/2410.20868 (2024) - [i41]Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching-Extended Version. CoRR abs/2410.20905 (2024) - [i40]Chi Liu, Jiangxia Cao, Rui Huang, Kai Zheng, Qiang Luo, Kun Gai, Guorui Zhou:
KuaiFormer: Transformer-Based Retrieval at Kuaishou. CoRR abs/2411.10057 (2024) - [i39]Hung Vinh Tran, Tong Chen, Guanhua Ye, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective. CoRR abs/2411.13052 (2024) - [i38]Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, Kai Zheng:
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search. CoRR abs/2411.17229 (2024) - [i37]Liwei Deng, Tianfu Wang, Yan Zhao, Kai Zheng:
MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management. CoRR abs/2412.03038 (2024) - [i36]Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng:
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective. CoRR abs/2412.09972 (2024) - [i35]Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu:
Trigger3: Refining Query Correction via Adaptive Model Selector. CoRR abs/2412.12701 (2024) - 2023
- [j108]Haitian Chen, Ziwei Wang, Yunchuan Li, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng
:
Deep Learning-Based Bloom Filter for Efficient Multi-key Membership Testing. Data Sci. Eng. 8(3): 234-246 (2023) - [j107]Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng:
BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16(8): 1958-1966 (2023) - [j106]Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng:
LEON: A New Framework for ML-Aided Query Optimization. Proc. VLDB Endow. 16(9): 2261-2273 (2023) - [j105]Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu
, Lu Chen, Kai Zheng
, Christian S. Jensen
:
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation. IEEE Trans. Knowl. Data Eng. 35(2): 2034-2047 (2023) - [j104]Pengfei Ding
, Guanfeng Liu
, Yan Wang
, Kai Zheng
, Xiaofang Zhou
:
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. IEEE Trans. Knowl. Data Eng. 35(3): 2243-2257 (2023) - [j103]Mubashir Imran
, Hongzhi Yin
, Tong Chen
, Zi Huang
, Kai Zheng
:
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3645-3657 (2023) - [j102]Defu Lian
, Zhihao Zhu
, Kai Zheng
, Yong Ge
, Xing Xie
, Enhong Chen
:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j101]Yan Zhao
, Kai Zheng
, Yunchuan Li, Jinfu Xia, Bin Yang
, Torben Bach Pedersen
, Rui Mao
, Christian S. Jensen
, Xiaofang Zhou
:
Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35(8): 8386-8401 (2023) - [j100]Yan Zhao
, Tinghao Lai, Ziwei Wang, Kaixuan Chen
, Huan Li
, Kai Zheng
:
Worker-Churn-Based Task Assignment With Context-LSTM in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 35(9): 9783-9796 (2023) - [j99]Minrui Xu
, Jiajie Xu
, Rui Zhou
, Jianxin Li
, Kai Zheng
, Pengpeng Zhao
, Chengfei Liu
:
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10011-10023 (2023) - [j98]Yan Zhao
, Jiaxin Liu
, Yunchuan Li
, Dalin Zhang
, Christian S. Jensen
, Kai Zheng
:
Preference-Aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Trans. Knowl. Data Eng. 35(10): 10722-10734 (2023) - [j97]Mubashir Imran
, Hongzhi Yin
, Tong Chen
, Quoc Viet Hung Nguyen
, Alexander Zhou
, Kai Zheng
:
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences. ACM Trans. Inf. Syst. 41(3): 65:1-65:30 (2023) - [j96]Yan Zhao
, Liwei Deng
, Kai Zheng
:
AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing. ACM Trans. Inf. Syst. 41(4): 95:1-95:32 (2023) - [c167]Yongfu Fan
, Jin Chen
, Yongquan Jiang
, Defu Lian
, Fangda Guo
, Kai Zheng
:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM 2023: 494-503 - [c166]Yuan Fu
, Shuncheng Liu
, Yuyang Xia
, Fangda Guo
, Kai Zheng
:
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. CIKM 2023: 535-544 - [c165]Ximu Zeng
, Quanlin Yu
, Shuncheng Liu
, Yuyang Xia
, Han Su
, Kai Zheng
:
Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework. CIKM 2023: 3124-3133 - [c164]Xiaolong Zhong
, Hao Miao
, Dazhuo Qiu
, Yan Zhao
, Kai Zheng
:
Personalized Location-Preference Learning for Federated Task Assignment in Spatial Crowdsourcing. CIKM 2023: 3534-3543 - [c163]Yunchuan Li, Ziwei Wang, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng:
Learned Bloom Filter for Multi-key Membership Testing. DASFAA (1) 2023: 62-79 - [c162]Yupu Zhang, Liwei Deng, Yan Zhao, Jin Chen, Jiandong Xie, Kai Zheng:
SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity. DASFAA (1) 2023: 431-447 - [c161]Yuyang Xia, Shuncheng Liu, Rui Hu, Quanlin Yu, Xiushi Feng, Kai Zheng, Han Su:
SMART: A Decision-Making Framework with Multi-modality Fusion for Autonomous Driving Based on Reinforcement Learning. DASFAA (4) 2023: 447-462 - [c160]Liwei Deng, Yan Zhao, Hao Sun, Changjie Yang, Jiandong Xie, Kai Zheng:
Fusing Local and Global Mobility Patterns for Trajectory Recovery. DASFAA (1) 2023: 448-463 - [c159]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. ICDE 2023: 82-95 - [c158]Weizhu Qian, Dalin Zhang
, Yan Zhao, Kai Zheng, James J. Q. Yu:
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. ICDE 2023: 992-1004 - [c157]Yue Cui, Shuhao Li
, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou:
ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. ICDE 2023: 1340-1352 - [c156]Shuncheng Liu, Yuyang Xia, Xu Chen, Jiandong Xie, Han Su, Kai Zheng:
Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle. ICDE 2023: 3255-3268 - [c155]Meng Chen, Yan Zhao, Yang Liu, Xiaohui Yu
, Kai Zheng:
Modeling Spatial Trajectories with Attribute Representation Learning (Extended Abstract). ICDE 2023: 3813-3814 - [c154]Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye:
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). ICDE 2023: 3837-3838 - [c153]Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng:
Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning. ICDM 2023: 388-397 - [c152]Xiushi Feng, Shuncheng Liu, Haitian Chen, Kai Zheng:
Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay. ICDM 2023: 1013-1018 - [c151]Hechuan Wen
, Tong Chen
, Li Kheng Chai
, Shazia Sadiq
, Kai Zheng, Hongzhi Yin
:
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. ICDM 2023: 1415-1420 - [c150]Cheng Wu
, Chaokun Wang
, Jingcao Xu
, Ziyang Liu
, Kai Zheng
, Xiaowei Wang
, Yang Song
, Kun Gai
:
Graph Contrastive Learning with Generative Adversarial Network. KDD 2023: 2721-2730 - [c149]Jing Long
, Tong Chen
, Quoc Viet Hung Nguyen
, Guandong Xu
, Kai Zheng
, Hongzhi Yin
:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR 2023: 423-432 - [c148]Jingcao Xu
, Chaokun Wang
, Cheng Wu
, Yang Song
, Kai Zheng
, Xiaowei Wang
, Changping Wang
, Guorui Zhou
, Kun Gai
:
Multi-behavior Self-supervised Learning for Recommendation. SIGIR 2023: 496-505 - [c147]Yunke Qu
, Tong Chen
, Xiangyu Zhao
, Lizhen Cui
, Kai Zheng
, Hongzhi Yin
:
Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023: 708-717 - [c146]Xuanhao Chen
, Liwei Deng
, Yan Zhao
, Kai Zheng
:
Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation. WSDM 2023: 267-275 - [c145]Liwei Deng
, Hao Sun
, Yan Zhao
, Shuncheng Liu
, Kai Zheng
:
S2TUL: A Semi-Supervised Framework for Trajectory-User Linking. WSDM 2023: 375-383 - [c144]Yue Cui
, Chen Ma
, Kai Zheng
, Lei Chen
, Xiaofang Zhou
:
Controllable Universal Fair Representation Learning. WWW 2023: 949-959 - [i34]Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. CoRR abs/2304.03501 (2023) - [i33]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR abs/2304.03947 (2023) - [i32]Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. CoRR abs/2305.18238 (2023) - [i31]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. CoRR abs/2305.18622 (2023) - [i30]Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai:
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. CoRR abs/2306.04095 (2023) - [i29]Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin:
Personalized Elastic Embedding Learning for On-Device Recommendation. CoRR abs/2306.10532 (2023) - [i28]Xinyi Gao, Tong Chen, Yilong Zang, Wentao Zhang, Quoc Viet Hung Nguyen, Kai Zheng, Hongzhi Yin:
Graph Condensation for Inductive Node Representation Learning. CoRR abs/2307.15967 (2023) - [i27]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. CoRR abs/2308.00535 (2023) - [i26]Hechuan Wen, Tong Chen, Li Kheng Chai
, Shazia Sadiq, Kai Zheng, Hongzhi Yin:
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. CoRR abs/2309.08165 (2023)