ZHOU Jingbo 周景博
zhoujingbo AT outlook.com

Short BIO

Publication

• Yuan Xia, Jingbo Zhou, Zhenhui Shi, Jun Chen, Haifeng Huang; "Improving retrieval augmented language model with self-reasoning“; AAAI 2025. [Media Coverage: VentureBeat, MarkTechPost, Tech Xplore, Top 30 most popular arXiv papers in the last 30 days (2024.08).]


• Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen; "ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning“; WWW 2025.


• Yixiong Xiao, Jingjia Cao, Yangxin Jiang, Jingbo Zhou; "ARAG: Analysis and Retrieval Augmented Generation for Comprehensive Reasoning over Socioeconomic Data“; ICDE 2025.


• Shengming Zhang, Le Zhang, Jingbo Zhou, Zhi Zheng, Hui Xiong; "LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning“; KDD 2025.


• Yu Fan, Xinjiang Lu, Hao Liu, Pengfei Wang, Liang Liu, Huadong Ma, Jingbo Zhou; "Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective“; TIST 2025.


• Yuyang Xu, Jingbo Zhou, Haochao Ying, Jintai Chen, Wei Chen, Danny Z Chen, Jian Wu; "A Protein-Context Enhanced Master Slave Framework for Zero-Shot Drug Target Interaction Prediction“; TCBB 2025.


• Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jian Tang, Jiantao Su, Yu Li, Ji Liu, Junfu Lyu, Yanjun Ma, Dejing Dou; "SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting over a Large Turbine Array“; Scientific Data 2024. [data]


• Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong; "Giant: Protein-Ligand Binding Affinity Prediction via Geometry-aware Interactive Graph Neural Network“; TKDE 2024. [PDF][code&data][Spotlight paper of the May 2024 issue of TKDE]


• Wenjia Cai, Chi Zhang, Shihui Zhang, others, and Jingbo Zhou, Ziqiao Zhou, Yong Luo, Peng Gong; "The 2024 China report of the Lancet Countdown on health and climate change: launching a new low-carbon, healthy journey“; The Lancet Public Health 2024.[Journal link]


• Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen; "Visualization Recommendation with Prompt-based Reprogramming of Large Language Models“; ACL 2024.


• Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong; "ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations“; KDD 2024.


• Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou; "Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions“; KDD 2024.


• Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong; "Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks“; KDD 2024.


• Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong; "CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control“; KDD 2024.


• Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou; "Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder“; AAAI 2024.


• Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen; "Scaling up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations“; ICDE 2024.


• Petros Petsinis, Kaichen Zhang, Andreas Pavlogiannis, Jingbo Zhou, Panagiotis Karras; "Robust Reward Placement under Uncertainty“; IJCAI 2024.


• Ming Zhang, Yanyan Li, Jianguo Duan, Jizhou Huang, Jingbo Zhou; "A Scalable Open-Source System for Segmenting Urban Areas with Road Networks“; WSDM 2024. [Demo track] [code&data]


• Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, and Hui Xiong; "Hierarchical Cross-level Graph Contrastive Learning for Drug-Drug Interaction Prediction“; DASFAA 2024.


• Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, and Hui Xiong; "Hierarchical Cross-level Graph Contrastive Learning for Drug-Drug Interaction Prediction“; DASFAA 2024. [short paper]


• Qian Sun, Le Zhang, Jingbo Zhou, Rui Zha, Yu Mei, Chujie Tian, Hui Xiong; "Spatio-Temporal Sequence Modeling for Traffic Signal Control“; CIKM 2024.


• Zhi Cao, Jingbo Zhou, Meng Li, Jizhou Huang, Dejing Dou; "Urbanites’ mental health undermined by air pollution“; Nature Sustainability 2023. [Journal link] [Supplementary Appendix]


• Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou; "Structure-aware protein self-supervised learning“; Bioinformatics 2023.


• Yixiong Xiao, Jingbo Zhou, others, and Peng Gong; "Global age-structured spatial modeling for emerging infectious diseases like COVID-19“; PNAS Nexus 2023. [Journal link]


• Shihui Zhang, Chi Zhang, Wenjia Cai, others, and Jingbo Zhou, Ziqiao Zhou, Yong Luo, Peng Gong; "The 2023 China report of the Lancet Countdown on health and climate change: taking stock for a thriving future“; The Lancet Public Health 2023.[Journal link]


• Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong; "Spatial Heterophily Aware Graph Neural Networks“; KDD 2023. [code&data] [Research Track]


• Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong; "Multi-Temporal Relationship Inference in Urban Areas“; KDD 2023. [code&data] [Research Track]


• Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong; "A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection“; ICDE 2023.


• Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou; "Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism“; ICDE 2023. [code&data]


• Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou; "Matching Point of Interests and Travel Blog with Multi-view Information Fusion“; SIGIR 2023.[Short paper]


• Zhikai Wan, Jingbo Zhou, Xiaosen Liu, Yan Wang; "An Efficient Transfer Learning Assisted Global Optimization Scheme for Analog/RF Circuits“; ASP-DAC 2023.


• Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou; "Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach“; IEEE BigData 2023.


• Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu,Jingbo Zhou; "Tuning Pre-trained Model via Moment Probing“; ICCV 2023.


• Arnold Kazadi, Ming Zhang, Jingbo Zhou; "Protein Function Prediction with Primary-Tertiary Hierarchical Learning“; BIBM 2023. [code&data] [web server introduction] [web server portal]


• Xi Chen, Xinjiang Lu, Haoran Xin, Wenjun Peng, Haoyang Duan, Feihu Jiang, Jingbo Zhou, Hui Xiong; "A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation“; EMNLP Findings 2023.


• Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu; "Human-instructed Deep Hierarchical Generative Learning for Automated Urban Planning“; AAAI 2023.


• Siyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu; "Robust Training of Graph Neural Networks via Noise Governance“; WSDM 2023.


• Yuan Xia, Zhenhui Shi, Jingbo Zhou, Jiayu Xu, Chao Lu, Yehui Yang, Lei Wang, Haifeng Huang, Xia Zhang, Junwei Liu; "A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction“; EMNLP 2022.


• Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong; "Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach“; EMNLP 2022.


• Derong Xu, Tong Xu, Shiwei Wu, Jingbo Zhou, Enhong Chen; "Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion“; ACM MM 2022.


• Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou; "Time-aware Neural Trip Planning Reinforced by Human Mobility“; IJCNN 2022 [code].


• Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong; "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction“; AAAI 2022. [code]


• Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou; "Efficient Device Scheduling with Multi-Job Federated Learning“; AAAI 2022.


• Xiaomin Fang, Lihang Liu, Jieqiong Lei, Donglong He, Shanzhuo Zhang, Jingbo Zhou, Fan Wang, Hua Wu, Haifeng Wang; "Geometry Enhanced Molecular Representation Learning for Property Prediction“; Nature Machine Intelligence 2022 [code][Journal link].


• Wenjia Cai, Chi Zhang, Shihui Zhang, others, and Jingbo Zhou, Margaret Chan FungFu-Chun, Yong Luo, Peng Gong; "The 2022 China report of the Lancet Countdown on health and climate change: leveraging climate actions for healthy ageing“; The Lancet Public Health 2022.[Journal link]


• Yuqi Bai, Yutong Zhang, Olena Zotova, others, and Jingbo Zhou, Peng Gong; "Healthy cities initiative in China: Progress, challenges, and the way forward“; The Lancet Regional Health - Western Pacific 2022.[Journal link]


• Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, and Dejing Dou; "Multi-Job Intelligent Scheduling with Cross-Device Federated Learning“; TPDS 2022.


• Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou; "AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing“; TMC 2022.


• Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou; "Data Placement for Multi-Tenant Data Federation on the Cloud“; TCC 2022.


• Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou; "CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge“; CIKM 2021. [Applied Research Track]


• Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong; "Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity“; KDD 2021. [code&data] [web server introduction] [web server portal] [Research Track] [Most Influential KDD Papers:Top 15 Most Cited Papers from KDD 2021]


• Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong; "Medical Entity Relation Verification with Large-scale Machine Reading Comprehension“; KDD 2021. [Applied Data Science Track]


• Congxi Xiao, Jingbo Zhou, Jizhou Huang, Haoyi Xiong, An Zhuo, Ji Liu, Dejing Dou; "C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak“; AAAI 2021.[code]


• Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu; "Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing“; AAAI 2021.


• Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong; "Description Generation for Points of Interest“; ICDE 2021.


• Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong; "Multi-Modal Transportation Recommendation with Unified Route Representation Learning“; PVLDB 2021.


• Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou; "Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction“; ArXiv:2012.12169 2021.[code&data]


• Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu; "A Multiple-Integration Encoder for Multi-Turn Text-to-SQL Semantic Parsing“; IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP 2021).


• Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong,; "Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach“; TKDE 2021.[Appendix]


• Wenjia Cai, Chi Zhang, Shihui Zhang, others, and Jingbo Zhou, Margaret Chan FungFu-Chun, Peng Gong; "The 2021 China report of the Lancet Countdown on health and climate change: seizing the window of opportunity“; The Lancet Public Health 2021.[Journal link][Supplementary Appendix]


• Jun Yang, Yutong Zhang, Yixiong Xiao, Shaoqing Shen, Mo Su, Yuqi Bai, Jingbo Zhou, and Peng Gong; " Using Internet Search Queries to Assess Public Awareness of the Healthy Cities Approach: A Case Study in Shenzhen, China“; International Journal of Environmental Research and Public Health (IJERPH 2021) [Journal link]


• Wenjia Cai, Chi Zhang, Hoi Ping Suen, others, and Jingbo Zhou, Peng Gong; " Location-Specific Health Impacts of Climate Change Require Location-Specific Responses“; Chinese Science Bulletin 2021.


• Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong; "Competitive Analysis for Points of Interest“; KDD 2020. [Research Track]


• Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzheng Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong; "Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning“; KDD 2020. [Applied Data Science Track]


• Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong; "Geodemographic Influence Maximization“; KDD 2020. [Applied Data Science Track]


• Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong; "Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine“; KDD 2020. [Applied Data Science Track]


• Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J.Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong; "Spatial Object Recommendation with Hints-When Spatial Granularity Matters“; SIGIR 2020.


• Wenjia Cai, Chi Zhang, Hoi Ping Suen, others, and Jingbo Zhou, Peng Gong; " The 2020 Chinese Report of The Lancet Countdown on Health and Climate Change“; The Lancet Public Health 2020.[Journal link][Supplementary Appendix][Chinese Version/中文版]


• Tianyi Hao, Jingbo Zhou, Yunsheng Cheng, Longbo Huang，Haishan Wu; "A Unified Framework for User Identification across Online and Offline Data“; IEEE Transactions on Knowledge and Data Engineering (TKDE 2020).


• Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong; "Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network“; TKDE 2020.


• Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, and Hui Xiong; "NCF: A Neural Context Fusion Approach to Raw Mobility Annotation“; IEEE Transactions on Mobile Computing (TMC 2020).


• Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li，Hui Xiong; "An Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data“; ICDE 2020.


• Yuan Xia, Jingbo Zhou, Zhenhui Shi, Chao Lu, Haifeng Huang; "Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis“; AAAI 2020. [code avialable under request]


• Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong; "Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction“; AAAI 2020.


• Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, and Hui Xiong; "Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation.“; ACM Transactions on Knowledge Discovery from Data (TKDD 2020).


• Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu; "Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection“; ICDM 2020.


• Lei Zhang, Runze Wang, Jingbo Zhou, Jingsong Yu, Zhenhua Ling, Hui Xiong; "Joint Intent Detection and Entity Linking on Spatial Domain Queries“; Findings of EMNLP 2020.


• Yifei Yuan, Jingbo Zhou, Wai Lam; "Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation“; AACL-IJCNLP 2020.


• Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang，Jin Xu, Airong Jiang, Ying Li，Hui Xiong; "A Collaborative Learning Framework to Tag Refinement for Points of Interest"; KDD 2019. [Applied Data Science Track]


• Jun Chen, Jingbo Zhou, Zhenhui Shi, Bin Fan, Chengliang Luo; "Knowledge Abstraction Matching for Medical Question Answering"; BIBM 2019.


• Yuan Xia, Jingbo Zhou, Jingjia Cao, Yanyan Li, Fei Gao, Kun Liu, Haishan Wu, Hui Xiong; "Intent-aware Audience Targeting for Ride-hailing Service"; ECML/PKDD 2018.


• Jingbo Zhou, Qi Guo, H. V. Jagadish, Lubos Krcaly, Siyuan Liu, Wenhao Luan, Anthony K. H. Tung, Yueji Yang, Yuxin Zheng; "A Generic Inverted Index Framework for Similarity Search on the GPU"; ICDE 2018. [Code, Technical Report]


• Jingbo Zhou, Hongbin Pei, Haishan Wu; "Early Warning of Human Crowds Based on Query Data from Baidu Maps: Analysis Based on Shanghai Stampede"; Big Data Support of Urban Planning and Management pp 19-41, Springer, 2018. [book chapter] [Media Report: MIT Technology Review, Wall Street Journal, South China Morning Post ]


• Tianyi Hao, Jingbo Zhou, Yunsheng Cheng, Longbo Huang, Haishan Wu; "User Identification in Cyber-Physical Space: a Case Study on Mobile Query Logs and Trajectories"; ACM SIGSPATIAL 2016. [short paper]


• Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu; "Demand Driven Store Site Selection via Multiple Spatial-temporal Data"; ACM SIGSPATIAL 2016.


• Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum; "Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction"; AAAI 2016. [oral]


• Jingbo Zhou, Anthony K. H. Tung; "SMiLer: A Semi-Lazy Time Series Prediction System for Sensors"; Proc. of 2015 ACM Int. Conf. on Management of Data (SIGMOD 2015). [Code]


• Gang Chen, Sai Wu, Jingbo Zhou, Anthony K.H. Tung; "Automatic Itinerary Planning for Traveling Services"; IEEE Transactions on Knowledge and Data Engineering 26(3):514–527 [Spotlight paper of the March 2014 issue of TKDE].


• Bao Zhifeng, Y.C. Tay, Jingbo Zhou; "sonSchema: A Conceptual Schema for Social Networks"; Proc. of 32nd Int. Conf. on Conceptual Modeling (ER 2013).


• Bao Zhifeng , Jingbo Zhou, Y.C. Tay; " sonSQL: An Extensible Relational DBMS for Social Network Start-ups"; Proc. of 32nd Int. Conf. on Conceptual Modeling (ER 2013). [Demo paper, Project website]


• Jingbo Zhou, Anthony K. H. Tung, Wei Wu, Wee Siong Ng; "R2-D2: a System to Support Probabilistic Path Prediction in Dynamic Environments via Semi-Lazy Learning"; Proc. of 2013 Int. Conf. on Very Large Databases (VLDB 2013). [Demo paper, Demo Video]


• Jingbo Zhou, Anthony K. H. Tung, Wei Wu, Wee Siong Ng; "A Semi-Lazy Approach to Probabilistic Path Prediction in Dynamic Environments"; Proc. of 2013 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2013). [Research Track, Demo Video]

Professional Activities

• Reviewer: Nature Sustainability, Nature Mental Health, Scientific Data, Neural Networks, Briefings in Bioinformatics, TKDE, VLDBJ, TIST, KAIS, JSA, TBD, BDR, TDS


• Program committee: AAAI 2025(SPC), KDD 2025 (Area Chair of Research track and PC of ADS track), IJCAI 2025, ICML 2025, NeurIPS 2025 (Research and Dataset track), ECML/PKDD 2025 (Industry track), AAAI 2024(SPC), KDD 2024 (Research track and ADS track), NeurIPS 2024(regular track and dataset track), ICML 2024, IJCAI 2024, ARR/EMNLP 2024, ARR/NACCL 2024, ICLR 2024, WWW 2024 (industry track), CIKM 2024(Research track), KDD 2023 (Research track and ADS track), NeurIPS 2023(regular track and dataset track), AAAI 2023 (SPC), IJCAI 2023, ACL 2023, CIKM 2023 (short paper track and full paper track), EMNLP 2023, ICML 2023, ECML-PKDD 2023, NeurIPS 2022(regular track and dataset track), CIKM2022 (regular track and demo track), ICML 2022, IJCAI 2022, KDD 2022, IJCAI2022, ARR 2022, SDM 2022, AAAI2022 (SPC), KDD2021 (PC & Session Chair), IJCAI2021 (SPC), AAAI2021, ACL2021, NAACL2021, CIKM 2021, KDD2020, KDD2019, ADMA 2017, APWeb 2016

Awards

• Outstanding Reviewers of KDD 2025 (ADS track, top 10%).
• Outstanding Reviewers of KDD 2025 (Research track, top 10%).
• Best Reviewers of KDD 2024 (ADS track, 14/469).
• Best Employee of Baidu Pride(百度骄傲最佳个人), 2024.
• The Seeds of Baidu Top Award, 2023.
• Baidu AIG the Best Collaboration Award, 2021H2.
• Baidu AI Product Innovation Project Award, 2021H1.
• Baidu Technology Pioneer Award（技术先锋奖）, 2020H1.
• Baidu Research Outstanding Resarch Award, 2019H2.
• Baidu Talented Egnineer Award（攻城精英奖）, 2019H1.
• Baidu Research Outstanding Resarch Award, 2018H1.
• Baidu Seasonal Star Award（季度之星）, 2017.