UStore: An optimized storage system for enterprise data warehouses at UnionPay. - Hongfeng Chai; Hao Liu 026; Xibo Zhou; Yanjun Xu; Shuo He; Jinzhi Hua; Dongjie He; Weihuai Liu (IEEE BigData, 2016)

A Comparison of Road-Network-Constrained Trajectory Compression Methods. - Yudian Ji; Hao Liu 026; Xiaoying Liu; Ye Ding; Wuman Luo (ICPADS, 2016)

Cuttle: Enabling Cross-Column Compression in Distributed Column Stores. - Hao Liu 026; Jiang Xiao; Xianjun Guo; Haoyu Tan; Qiong Luo 001; Lionel M. Ni (APWeb/WAIM (2), 2017)

TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems. - Hao Liu 026; Yudian Ji; Jiang Xiao; Haoyu Tan; Qiong Luo 001; Lionel M. Ni (CIKM, 2017)

Scalable Hash Ripple Join on Spark. - Hao Liu 026; Jiang Xiao; Fengchao Peng (ICPADS, 2017)

A Time Series Classification Method for Battery Event Detection. - Fengchao Peng; Xibo Zhou; Hao Liu 026; Haoyu Tan; Qiong Luo 001; Jiye Hu (ICPADS, 2017)

Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit. - Bing He 002; Dian Zhang 001; Siyuan Liu 001; Hao Liu 026; Dawei Han; Lionel M. Ni (IEEE BigData, 2018)

Intelligent decision making for UAV based on Monte Carlo Simulation. - Yunhong Ma; Hao Liu 026; Yaozhong Zhang; Qiang He; Zhao Xu 006 (ICARCV, 2018)

Efficient Detection of Soft Concatenation Mapping. - Hao Liu 026; Jiang Xiao; Haoyu Tan; Qiong Luo 001; Jintao Zhao; Lionel M. Ni (IEEE Trans. Knowl. Data Eng., 2018)

Joint Representation Learning for Multi-Modal Transportation Recommendation. - Hao Liu 026; Ting Li; Renjun Hu; Yanjie Fu; Jingjing Gu; Hui Xiong 001 (AAAI, 2019)

Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. - Hao Liu 026; Yongxin Tong; Panpan Zhang; Xinjiang Lu; Jianguo Duan; Hui Xiong 001 (KDD, 2019)

Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. - Weijia Zhang 003; Hao Liu 026; Yanchi Liu; Jingbo Zhou; Hui Xiong 001 (AAAI, 2020)

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis. - Hao Tian 005; Can Gao; Xinyan Xiao; Hao Liu 026; Bolei He; Hua Wu 003; Haifeng Wang 001; Feng Wu 001 (ACL, 2020)

Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification. - Yunjie Ji; Hao Liu 026; Bolei He; Xinyan Xiao; Hua Wu 003; Yanhua Yu (EMNLP (1), 2020)

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Pengyang Wang; Yong Ge; Yanjie Fu (ICDM, 2020)

Why We Go Where We Go: Profiling User Decisions on Choosing POIs. - Renjun Hu; Xinjiang Lu; Chuanren Liu; Yanyan Li; Hao Liu 026; Jingjing Gu; Shuai Ma 001; Hui Xiong 001 (IJCAI, 2020)

Competitive Analysis for Points of Interest. - Shuangli Li; Jingbo Zhou; Tong Xu 001; Hao Liu 026; Xinjiang Lu; Hui Xiong 001 (KDD, 2020)

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. - Hao Liu 026; Ying Li; Yanjie Fu; Huaibo Mei; Jingbo Zhou; Xu Ma; Hui Xiong 001 (KDD, 2020)

Spatial Object Recommendation with Hints: When Spatial Granularity Matters. - Hui Luo 001; Jingbo Zhou; Zhifeng Bao; Shuangli Li; J. Shane Culpepper; Haochao Ying; Hao Liu 026; Hui Xiong 001 (SIGIR, 2020)

Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. - Zixuan Yuan; Hao Liu 026; Yanchi Liu; Denghui Zhang; Fei Yi; Nengjun Zhu; Hui Xiong 001 (SIGIR, 2020)

Multi-Modal Transportation Recommendation with Unified Route Representation Learning. - Hao Liu 026; Jindong Han; Yanjie Fu; Jingbo Zhou; Xinjiang Lu; Hui Xiong 001 (Proc. VLDB Endow., 2020)

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. - Jindong Han; Hao Liu 026; Hengshu Zhu; Hui Xiong 001; Dejing Dou (AAAI, 2021)

Community-Aware Multi-Task Transportation Demand Prediction. - Hao Liu 026; Qiyu Wu 001; Fuzhen Zhuang; Xinjiang Lu; Dejing Dou; Hui Xiong 001 (AAAI, 2021)

Out-of-Town Recommendation with Travel Intention Modeling. - Haoran Xin 001; Xinjiang Lu; Tong Xu 001; Hao Liu 026; Jingjing Gu; Dejing Dou; Hui Xiong 001 (AAAI, 2021)

Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. - Zixuan Yuan; Hao Liu 026; Renjun Hu; Denghui Zhang; Hui Xiong 001 (AAAI, 2021)

UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning. - Wei Li 176; Can Gao; Guocheng Niu; Xinyan Xiao; Hao Liu 026; Jiachen Liu; Hua Wu 003; Haifeng Wang 001 (ACL/IJCNLP (1), 2021)

Transportation Recommendation with Fairness Consideration. - Ding Zhou; Hao Liu 026; Tong Xu 001; Le Zhang 010; Rui Zha; Hui Xiong 001 (DASFAA (3), 2021)

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. - Wei Fan 010; Kunpeng Liu 001; Rui Xie 002; Hao Liu 026; Hui Xiong 001; Yanjie Fu (ICDM, 2021)

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. - Weijia Zhang 003; Hao Liu 026; Lijun Zha; Hengshu Zhu; Ji Liu 003; Dejing Dou; Hui Xiong 001 (KDD, 2021)

JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. - Hao Liu 026; Qian Gao; Jiang Li; Xiaochao Liao; Hao Xiong; Guangxing Chen; Wenlin Wang; Guobao Yang; Zhiwei Zha; Daxiang Dong; Dejing Dou; Haoyi Xiong (KDD, 2021)

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. - Denghui Zhang; Zixuan Yuan; Yanchi Liu; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001; Haifeng Chen (KDD, 2021)

Talent Demand Forecasting with Attentive Neural Sequential Model. - Qi Zhang 053; Hengshu Zhu; Ying Sun 006; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001 (KDD, 2021)

Generalized DataWeighting via Class-Level Gradient Manipulation. - Can Chen 005; Shuhao Zheng; Xi Chen 009; Erqun Dong; Xue (Steve) Liu; Hao Liu 026; Dejing Dou (NeurIPS, 2021)

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Ahmad Hariri; Dejing Dou; Yanjie Fu (SDM, 2021)

Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. - Zixuan Yuan; Hao Liu 026; Junming Liu; Yanchi Liu; Yang Yang 074; Renjun Hu; Hui Xiong 001 (WWW, 2021)

Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. - Weijia Zhang 003; Hao Liu 026; Fan Wang 021; Tong Xu 001; Haoran Xin 001; Dejing Dou; Hui Xiong 001 (WWW, 2021)

A Sentiment Analysis Dataset for Trustworthiness Evaluation. - Lijie Wang; Hao Liu 026; Shuyuan Peng; Hongxuan Tang; Xinyan Xiao; Ying Chen 011; Hua Wu 003 (CoRR, 2021)

A Multimodal Sentiment Dataset for Video Recommendation. - Hongxuan Tang; Hao Liu 026; Xinyan Xiao; Hua Wu 003 (CoRR, 2021)

Generalized Data Weighting via Class-level Gradient Manipulation. - Can Chen 005; Shuhao Zheng; Xi Chen 009; Erqun Dong; Xue Liu 001; Hao Liu 026; Dejing Dou (CoRR, 2021)

Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. - Denghui Zhang; Zixuan Yuan; Yanchi Liu; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001; Haifeng Chen (CoRR, 2021)

Learning to Walk with Dual Agents for Knowledge Graph Reasoning. - Denghui Zhang; Zixuan Yuan; Hao Liu 026; Xiaodong Lin 004; Hui Xiong 001 (AAAI, 2022)

UNIMO-2: End-to-End Unified Vision-Language Grounded Learning. - Wei Li 176; Can Gao; Guocheng Niu; Xinyan Xiao; Hao Liu 026; Jiachen Liu; Hua Wu 003; Haifeng Wang 001 (ACL (Findings), 2022)

A Fine-grained Interpretability Evaluation Benchmark for Neural NLP. - Lijie Wang; Yaozong Shen; Shuyuan Peng; Shuai Zhang; Xinyan Xiao; Hao Liu 026; Hongxuan Tang; Ying Chen 011; Hua Wu 003; Haifeng Wang 001 (CoNLL, 2022)

Feature and Instance Joint Selection: A Reinforcement Learning Perspective. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Hengshu Zhu; Hui Xiong 001; Yanjie Fu (IJCAI, 2022)

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. - Weijia Zhang 003; Hao Liu 026; Jindong Han; Yong Ge; Hui Xiong 001 (KDD, 2022)

Lion: A GPU-Accelerated Online Serving System for Web-Scale Recommendation at Baidu. - Hao Liu 026; Qian Gao; Xiaochao Liao; Guangxing Chen; Hao Xiong; Silin Ren; Guobao Yang; Zhiwei Zha (KDD, 2022)

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. - Zhuoning Guo; Hao Liu 026; Le Zhang 010; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (KDD, 2022)

Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models. - Fan Liu; Hao Liu 026; Wenzhao Jiang (NeurIPS, 2022)

Unbiased Implicit Feedback via Bi-level Optimization. - Can Chen 005; Chen Ma 001; Xi Chen 009; Sirui Song; Hao Liu 026; Xue Liu 001 (CoRR, 2022)

Fast Compressive Spectral Clustering for Large-Scale Sparse Graph. - Ting Li; Yiming Zhang 003; Hao Liu 026; Guangtao Xue; Ling Liu 001 (IEEE Trans. Big Data, 2022)

Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data. - Yuecheng Rong; Zhimian Xu; Jun Liu 002; Hao Liu 026; Jian Ding; Xuanyu Liu; Wei Luo; Chuanming Zhang; Jiaxiang Gao (IEEE Trans. Intell. Transp. Syst., 2022)

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. - Hao Liu 026; Qingyu Guo; Hengshu Zhu; Fuzhen Zhuang; Shenwen Yang; Dejing Dou; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2022)

Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network. - Nengjun Zhu; Jian Cao 001; Xinjiang Lu; Chuanren Liu; Hao Liu 026; Yanyan Li; Xiangfeng Luo; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2022)

Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation. - Hao Liu 026; Yongxin Tong; Jindong Han; Panpan Zhang; Xinjiang Lu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. - Weijia Zhang 003; Hao Liu 026; Yanchi Liu; Jingbo Zhou; Tong Xu 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2022)

GBTTE: Graph Attention Network Based Bus Travel Time Estimation. - Yuecheng Rong; Juntao Yao; Jun Liu 002; Yifan Fang; Wei Luo; Hao Liu 026; Jie Ma 001; Zepeng Dan; Jinzhu Lin; Zhi Wu; Yan Zhang; Chuanming Zhang (CIKM, 2023)

Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing. - Lu Dai; Liqian Ma; Shenhan Qian; Hao Liu 026; Ziwei Liu; Hui Xiong 001 (ICCV, 2023)

MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. - Nengjun Zhu; Jieyun Huang; Jian Cao 001; Xinjiang Lu; Hao Liu 026; Hui Xiong 001 (ICDM, 2023)

iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation. - Jindong Han; Hao Liu 026; Shui Liu; Xi Chen 080; Naiqiang Tan; Hua Chai; Hui Xiong 001 (KDD, 2023)

A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. - Siqi Lai; Weijia Zhang 003; Hao Liu 026 (KDD, 2023)

Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi. - Hao Liu 026; Wenzhao Jiang; Shui Liu; Xi Chen 080 (KDD, 2023)

Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. - Fan Liu; Weijia Zhang 003; Hao Liu 026 (KDD, 2023)

UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction. - Yansong Ning; Hao Liu 026; Hao Wang 073; Zhenyu Zeng; Hui Xiong 001 (NeurIPS, 2023)

A Survey on Vertical Federated Learning: From a Layered Perspective. - Liu Yang 008; Di Chai; Junxue Zhang 001; Yilun Jin; Leye Wang; Hao Liu 026; Han Tian; Qian Xu; Kai Chen 005 (CoRR, 2023)

UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning. - Hao Yang; Can Gao; Hao Liu 026; Xinyan Xiao; Yanyan Zhao; Bing Qin 001 (CoRR, 2023)

Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network. - Fan Liu; Siqi Lai; Yansong Ning; Hao Liu 026 (CoRR, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CoRR, 2023)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Jingbo Zhou; Yu Mei; Hui Xiong 001 (CoRR, 2023)

Machine Learning for Urban Air Quality Analytics: A Survey. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (CoRR, 2023)

Survey on Trustworthy Graph Neural Networks: From A Causal Perspective. - Wenzhao Jiang; Hao Liu 026; Hui Xiong 001 (CoRR, 2023)

Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. - Siqi Lai; Zhao Xu 006; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (CoRR, 2023)

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. - Wei Fan 010; Kunpeng Liu 001; Hao Liu 026; Yong Ge; Hui Xiong 001; Yanjie Fu (IEEE Trans. Knowl. Data Eng., 2023)

Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training. - Hao Liu 026; Jindong Han; Yanjie Fu; Yanyan Li; Kai Chen 005; Hui Xiong 001 (VLDB J., 2023)

Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. - Jindong Han; Hao Liu 026; Haoyi Xiong; Jing Yang 014 (IEEE Trans. Knowl. Data Eng., 2023)

Graph-Grounded Goal Planning for Conversational Recommendation. - Zeming Liu; Ding Zhou; Hao Liu 026; Haifeng Wang 001; Zheng-Yu Niu; Hua Wu 003; Wanxiang Che; Ting Liu 001; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. - Hao Liu 026; Qingyu Guo; Hengshu Zhu; Yanjie Fu; Fuzhen Zhuang; Xiaojuan Ma; Hui Xiong 001 (ACM Trans. Knowl. Discov. Data, 2023)

Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation. - Hao Liu 026; Ying Li; Yanjie Fu; Huaibo Mei; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. - Weijia Zhang 003; Hao Liu 026; Hui Xiong 001; Tong Xu 001; Fan Wang 021; Haoran Xin 001; Hua Wu 003 (IEEE Trans. Knowl. Data Eng., 2023)

Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction. - Jindong Han; Hao Liu 026; Hengshu Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. - Yuchen Li 006; Haoyi Xiong; Qingzhong Wang; Linghe Kong; Hao Liu 026; Haifang Li 003; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dejing Dou; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2023)

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. - Wenshuo Chao; Zhaopeng Qiu; Likang Wu; Zhuoning Guo; Zhi Zheng 008; Hengshu Zhu; Hao Liu 026 (AAAI, 2024)

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. - Zixuan Yuan; Hao Liu 026; Haoyi Zhou; Denghui Zhang; Xiao Zhang 015; Hao Wang 073; Hui Xiong 001 (AAAI, 2024)

Make Large Language Model a Better Ranker. - Wenshuo Chao; Zhi Zheng 008; Hengshu Zhu; Hao Liu 026 (EMNLP (Findings), 2024)

Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach. - Weijia Zhang 003; Chenlong Yin; Hao Liu 026; Xiaofang Zhou 001; Hui Xiong 001 (ICML, 2024)

Urban Foundation Models: A Survey. - Weijia Zhang 003; Jindong Han; Zhao Xu 006; Hang Ni; Hao Liu 026; Hui Xiong 001 (KDD, 2024)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Yanjie Fu; Jingbo Zhou; Yu Mei; Hui Xiong 001 (KDD, 2024)

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. - Zhuoning Guo; Duanyi Yao; Qiang Yang; Hao Liu 026 (KDD, 2024)

Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction. - Wenzhao Jiang; Jindong Han; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (KDD, 2024)

UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction. - Yansong Ning; Hao Liu 026 (NeurIPS, 2024)

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models. - Weijia Zhang 003; Jindong Han; Zhao Xu 006; Hang Ni; Hao Liu 026; Hui Xiong 001 (CoRR, 2024)

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations. - Xinyuan Wang 011; Liang Wu 011; Liangjie Hong; Hao Liu 026; Yanjie Fu (CoRR, 2024)

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs. - Fan Liu; Zhao Xu 006; Hao Liu 026 (CoRR, 2024)

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. - Zhao Xu 006; Fan Liu; Hao Liu 026 (CoRR, 2024)

Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series. - Weijia Zhang 003; Chenlong Yin; Hao Liu 026; Hui Xiong 001 (CoRR, 2024)

Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting. - Zixuan Weng; Jindong Han; Wenzhao Jiang; Hao Liu 026 (CoRR, 2024)

Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming. - Hao Wang 073; Jindong Han; Wei Fan 010; Hao Liu 026 (CoRR, 2024)

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction. - Ziyang Wu; Fan Liu; Jindong Han; Yuxuan Liang; Hao Liu 026 (CoRR, 2024)

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting. - Zhuoning Guo; Hao Liu 026; Le Zhang 010; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (CoRR, 2024)

Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal. - Weijia Zhang 003; Jindong Han; Hao Liu 026; Wei Fan 010; Hao Wang 073; Hui Xiong 001 (CoRR, 2024)

A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting. - Tengfei Lyu; Jindong Han; Hao Liu 026 (CoRR, 2024)

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework. - Fan Liu; Yue Feng 002; Zhao Xu 006; Lixin Su; Xinyu Ma; Dawei Yin; Hao Liu 026 (CoRR, 2024)

Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning. - Zhuoning Guo; Ruiqian Han; Hao Liu 026 (CoRR, 2024)

BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. - Jindong Han; Weijia Zhang 003; Hao Liu 026; Tao Tao; Naiqiang Tan; Hui Xiong 001 (Proc. VLDB Endow., 2024)

Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. - Can Chen 005; Hao Liu 026; Zeming Liu; Xue Liu 001; Dejing Dou (Neurocomputing, 2024)

LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading. - Zixuan Yuan; Junming Liu; Haoyi Zhou; Denghui Zhang; Hao Liu 026; Nengjun Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. - Zhe-Rui Yang; Jindong Han; Chang-Dong Wang 001; Hao Liu 026 (AAAI, 2025)

LLMLight: Large Language Models as Traffic Signal Control Agents. - Siqi Lai; Zhao Xu 006; Weijia Zhang 003; Hao Liu 026; Hui Xiong 001 (KDD (1), 2025)

AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. - Tengfei Lyu; Weijia Zhang 003; Jinliang Deng; Hao Liu 026 (KDD (1), 2025)

GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. - Zhe-Rui Yang; Jindong Han; Chang-Dong Wang 001; Hao Liu 026 (KDD (1), 2025)

Labor Migration Modeling Through Large-Scale Job Query Data. - Zhuoning Guo; Le Zhang 010; Hengshu Zhu; Weijia Zhang 003; Hui Xiong 001; Hao Liu 026 (PAKDD (1), 2025)

Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization. - Jindong Han; Hao Liu 026; Jun Fang; Naiqiang Tan; Hui Xiong 001 (WWW, 2025)

Subgraph Federated Unlearning. - Fan Liu; Hao Liu 026 (WWW, 2025)

GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations. - Zhuoning Guo; Guangxing Chen; Qian Gao; Xiaochao Liao; Jianjia Zheng; Lu Shen; Hao Liu 026 (CoRR, 2025)

SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction. - Lu Dai; Yijie Xu; Jinhui Ye; Hao Liu 026; Hui Xiong 001 (CoRR, 2025)

DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi. - Yansong Ning; Shuowei Cai; Wei Li 176; Jun Fang; Naiqiang Tan; Hua Chai; Hao Liu 026 (CoRR, 2025)

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning. - Hang Ni; Jindong Han; Nengjun Zhu; Hao Liu 026 (CoRR, 2025)

Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data. - Jindong Han; Hao Wang 073; Hui Xiong 001; Hao Liu 026 (Proc. VLDB Endow., 2025)

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. - Hang Ni; Fan Liu; Xinyu Ma; Lixin Su; Shuaiqiang Wang; Dawei Yin; Hui Xiong 001; Hao Liu 026 (CoRR, 2025)

Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective. - Yu Fan; Xinjiang Lu; Hao Liu 026; Pengfei Wang 009; Liang Liu 001; Huadong Ma; Jingbo Zhou (ACM Trans. Intell. Syst. Technol., 2025)

PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems. - Hao Wang 073; Jindong Han; Wei Fan 010; Weijia Zhang 003; Hao Liu 026 (CoRR, 2025)

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications. - Jindong Han; Yansong Ning; Zirui Yuan; Hang Ni; Fan Liu; Tengfei Lyu; Hao Liu 026 (CoRR, 2025)