Hao Liu

180 papers A* 53A 3B 4C 1Journal 98Unranked 21
YearRankTypeTitle / Venue / Authors
2026 A* conf
An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation.
WWW
Yuping Zhou, Siqi Lai, Jindong Han, Hao Liu
2026 A* conf
GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations.
WWW
Zhuoning Guo, Guangxing Chen, Qian Gao, Xiaochao Liao, Jianjia Zheng, Lu Shen, Hao Liu
2026 A* conf
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models.
AAAI
Tianrui Song, Wen-Shuo Chao, Hao Liu
2026 — conf
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation.
KDD (1)
Wenzhao Jiang, Jindong Han, Ruiqian Han, Hao Liu
2026 J jnl
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation.
CoRR
Wenzhao Jiang, Jindong Han, Ruiqian Han, Hao Liu
2026 — conf
Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting.
KDD (1)
Tengfei Lyu, Weijia Zhang, Hao Liu
2026 — conf
UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting.
KDD (1)
Hang Ni, Weijia Zhang, Hao Liu
2025 J jnl
An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation.
CoRR
Yuping Zhou, Siqi Lai, Jindong Han, Hao Liu
2025 — conf
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting.
KDD (1)
Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu
2025 A* conf
Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization.
WWW
Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong
2025 J jnl
Bag of Tricks for Inference-time Computation of LLM Reasoning.
CoRR
Fan Liu, Wenshuo Chao, Naiqiang Tan, Hao Liu
2025 — conf
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network.
ECML/PKDD (2)
Fan Liu, Siqi Lai, Yansong Ning, Hao Liu
2025 J jnl
DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation.
CoRR
Hao Wang, Zixuan Weng, Jindong Han, Wei Fan, Hao Liu
2025 — conf
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi.
KDD (2)
Yansong Ning, Shuowei Cai, Wei Li, Jun Fang, Naiqiang Tan, Hua Chai, Hao Liu
2025 J jnl
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi.
CoRR
Yansong Ning, Shuowei Cai, Wei Li, Jun Fang, Naiqiang Tan, Hua Chai, Hao Liu
2025 A* conf
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.
AAAI
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2025 J jnl
Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition.
CoRR
Fan Liu, Jindong Han, Tengfei Lyu, Weijia Zhang, Zhe-Rui Yang, Lu Dai, Cancheng Liu, Hao Liu
2025 J jnl
GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations.
CoRR
Zhuoning Guo, Guangxing Chen, Qian Gao, Xiaochao Liao, Jianjia Zheng, Lu Shen, Hao Liu
2025 — conf
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.
KDD (1)
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2025 J jnl
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models.
CoRR
Tianrui Song, Wen-Shuo Chao, Hao Liu
2025 J jnl
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
ACM Trans. Intell. Syst. Technol.
Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu
2025 — conf
LLMLight: Large Language Models as Traffic Signal Control Agents.
KDD (1)
Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong
2025 — conf
Labor Migration Modeling Through Large-Scale Job Query Data.
PAKDD (1)
Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu
2025 J jnl
Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications.
CoRR
Jindong Han, Yansong Ning, Zirui Yuan, Hang Ni, Fan Liu, Tengfei Lyu, Hao Liu
2025 — conf
NRFormer: Nationwide Nuclear Radiation Forecasting with Spatio-Temporal Transformer.
KDD (2)
Tengfei Lyu, Jindong Han, Hao Liu
2025 J jnl
PhyDA: Physics-Guided Diffusion Models for Data Assimilation in Atmospheric Systems.
CoRR
Hao Wang, Jindong Han, Wei Fan, Weijia Zhang, Hao Liu
2025 A* conf
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming.
IJCAI
Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu
2025 — conf
SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting.
KDD (2)
Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu
2025 — conf
ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research.
KDD (2)
Junyong Lin, Lu Dai, Ruiqian Han, Yijie Sui, Ruilin Wang, Xingliang Sun, Qinglin Wu, Min Feng, Hao Liu, Hui Xiong
2025 J jnl
ScIRGen: Synthesize Realistic and Large-Scale RAG Dataset for Scientific Research.
CoRR
Junyong Lin, Lu Dai, Ruiqian Han, Yijie Sui, Ruilin Wang, Xingliang Sun, Qinglin Wu, Min Feng, Hao Liu, Hui Xiong
2025 J jnl
Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data.
Proc. VLDB Endow.
Jindong Han, Hao Wang, Hui Xiong, Hao Liu
2025 A* conf
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction.
ICLR
Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong
2025 J jnl
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction.
CoRR
Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong
2025 A* conf
Subgraph Federated Unlearning.
WWW
Fan Liu, Hao Liu
2025 A* conf
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning.
EMNLP
Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu
2025 J jnl
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning.
CoRR
Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu
2025 J jnl
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective.
ACM Trans. Intell. Syst. Technol.
Yu Fan, Xinjiang Lu, Hao Liu, Pengfei Wang, Liang Liu, Huadong Ma, Jingbo Zhou
2025 J jnl
Unified Multimodal Model as Auto-Encoder.
CoRR
Zhiyuan Yan, Kaiqing Lin, Zongjian Li, Junyan Ye, Hui Han, Zhendong Wang, Hao Liu, Bin Lin, Hao Li, Xue Xu, Xinyan Xiao, Jingdong Wang, Haifeng Wang, Li Yuan
2025 — conf
Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series.
KDD (2)
Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong
2025 J jnl
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning.
CoRR
Hang Ni, Jindong Han, Nengjun Zhu, Hao Liu
2024 A* conf
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
AAAI
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
CoRR
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
A Prompt-Guided Spatio-Temporal Transformer Model for National-Wide Nuclear Radiation Forecasting.
CoRR
Tengfei Lyu, Jindong Han, Hao Liu
2024 J jnl
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs.
CoRR
Fan Liu, Zhao Xu, Hao Liu
2024 J jnl
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning.
CoRR
Zhuoning Guo, Ruiqian Han, Hao Liu
2024 J jnl
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting.
CoRR
Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu
2024 J jnl
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.
CoRR
Zhao Xu, Fan Liu, Hao Liu
2024 J jnl
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks.
Proc. VLDB Endow.
Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024 J jnl
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
CoRR
Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
2024 J jnl
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.
CoRR
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
2024 J jnl
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.
Neurocomputing
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
2024 J jnl
Empowering Pre-Trained Language Models for Spatio-Temporal Forecasting via Decoupling Enhanced Discrete Reprogramming.
CoRR
Hao Wang, Jindong Han, Wei Fan, Hao Liu
2024 J jnl
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.
CoRR
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2024 J jnl
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.
CoRR
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2024 A* conf
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning.
KDD
Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu
2024 J jnl
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning.
CoRR
Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu
2024 A* conf
Improve Dense Passage Retrieval with Entailment Tuning.
EMNLP
Lu Dai, Hao Liu, Hui Xiong
2024 J jnl
Improve Dense Passage Retrieval with Entailment Tuning.
CoRR
Lu Dai, Hao Liu, Hui Xiong
2024 A* conf
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
KDD
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024 J jnl
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction.
CoRR
Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
2024 A* conf
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach.
ICML
Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong
2024 A* conf
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.
KDD
Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
2024 J jnl
JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework.
CoRR
Fan Liu, Yue Feng, Zhao Xu, Lixin Su, Xinyu Ma, Dawei Yin, Hao Liu
2024 J jnl
LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading.
IEEE Trans. Knowl. Data Eng.
Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
2024 J jnl
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
CoRR
Xinyuan Wang, Liang Wu, Liangjie Hong, Hao Liu, Yanjie Fu
2024 J jnl
Labor Migration Modeling through Large-scale Job Query Data.
CoRR
Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu
2024 J jnl
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation.
CoRR
Tianrui Song, Wenshuo Chao, Hao Liu
2024 — conf
Make Large Language Model a Better Ranker.
EMNLP (Findings)
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
Make Large Language Model a Better Ranker.
CoRR
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal.
CoRR
Weijia Zhang, Jindong Han, Hao Liu, Wei Fan, Hao Wang, Hui Xiong
2024 A* conf
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification.
AAAI
Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
2024 J jnl
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting.
CoRR
Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu
2024 J jnl
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction.
CoRR
Ziyang Wu, Fan Liu, Jindong Han, Yuxuan Liang, Hao Liu
2024 J jnl
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models.
CoRR
Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
2024 J jnl
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series.
CoRR
Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong
2024 A* conf
Urban Foundation Models: A Survey.
KDD
Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
2024 A* conf
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction.
NeurIPS
Yansong Ning, Hao Liu
2024 J jnl
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction.
CoRR
Yansong Ning, Hao Liu
2023 A* conf
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation.
KDD
Siqi Lai, Weijia Zhang, Hao Liu
2023 J jnl
A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation.
CoRR
Siqi Lai, Weijia Zhang, Hao Liu
2023 J jnl
A Survey on Vertical Federated Learning: From a Layered Perspective.
CoRR
Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao Liu, Han Tian, Qian Xu, Kai Chen
2023 J jnl
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network.
CoRR
Fan Liu, Siqi Lai, Yansong Ning, Hao Liu
2023 J jnl
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng.
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
2023 J jnl
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective.
ACM Trans. Knowl. Discov. Data
Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong
2023 A* conf
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing.
ICCV
Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong
2023 J jnl
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing.
CoRR
Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong
2023 A conf
GBTTE: Graph Attention Network Based Bus Travel Time Estimation.
CIKM
Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang
2023 J jnl
Graph-Grounded Goal Planning for Conversational Recommendation.
IEEE Trans. Knowl. Data Eng.
Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong
2023 J jnl
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.
IEEE Trans. Knowl. Data Eng.
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
2023 J jnl
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network.
CoRR
Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Jingbo Zhou, Yu Mei, Hui Xiong
2023 J jnl
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction.
IEEE Trans. Knowl. Data Eng.
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong
2023 J jnl
Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity.
CoRR
Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong
2023 J jnl
Machine Learning for Urban Air Quality Analytics: A Survey.
CoRR
Jindong Han, Weijia Zhang, Hao Liu, Hui Xiong
2023 A* conf
MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs.
ICDM
Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong
2023 J jnl
NTIRE 2023 Quality Assessment of Video Enhancement Challenge.
CoRR
Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao Liu, Yu Lai, Shanshan Chen, Wenqi Wang, Haoning Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh
2023 J jnl
Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation.
IEEE Trans. Knowl. Data Eng.
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Hui Xiong
2023 J jnl
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation.
IEEE Trans. Knowl. Data Eng.
Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
2023 A* conf
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training.
KDD
Fan Liu, Weijia Zhang, Hao Liu
2023 J jnl
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training.
CoRR
Fan Liu, Weijia Zhang, Hao Liu
2023 J jnl
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang
2023 J jnl
Survey on Trustworthy Graph Neural Networks: From A Causal Perspective.
CoRR
Wenzhao Jiang, Hao Liu, Hui Xiong
2023 J jnl
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning.
CoRR
Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin
2023 A* conf
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction.
NeurIPS
Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong
2023 J jnl
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction.
CoRR
Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong
2023 A* conf
Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi.
KDD
Hao Liu, Wenzhao Jiang, Shui Liu, Xi Chen
2023 J jnl
Unified route representation learning for multi-modal transportation recommendation with spatiotemporal pre-training.
VLDB J.
Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, Hui Xiong
2023 A* conf
iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival Estimation.
KDD
Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
2022 B conf
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP.
CoNLL
Lijie Wang, Yaozong Shen, Shuyuan Peng, Shuai Zhang, Xinyan Xiao, Hao Liu, Hongxuan Tang, Ying Chen, Hua Wu, Haifeng Wang
2022 J jnl
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP.
CoRR
Lijie Wang, Yaozong Shen, Shuyuan Peng, Shuai Zhang, Xinyan Xiao, Hao Liu, Hongxuan Tang, Ying Chen, Hua Wu, Haifeng Wang
2022 J jnl
Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data.
IEEE Trans. Intell. Transp. Syst.
Yuecheng Rong, Zhimian Xu, Jun Liu, Hao Liu, Jian Ding, Xuanyu Liu, Wei Luo, Chuanming Zhang, Jiaxiang Gao
2022 J jnl
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph.
IEEE Trans. Big Data
Ting Li, Yiming Zhang, Hao Liu, Guangtao Xue, Ling Liu
2022 A* conf
Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
IJCAI
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
2022 J jnl
Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
CoRR
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
2022 J jnl
Incorporating Multi-Source Urban Data for Personalized and Context-Aware Multi-Modal Transportation Recommendation.
IEEE Trans. Knowl. Data Eng.
Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong
2022 A* conf
Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
AAAI
Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
2022 A* conf
Lion: A GPU-Accelerated Online Serving System for Web-Scale Recommendation at Baidu.
KDD
Hao Liu, Qian Gao, Xiaochao Liao, Guangxing Chen, Hao Xiong, Silin Ren, Guobao Yang, Zhiwei Zha
2022 A* conf
Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing.
KDD
Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
2022 A* conf
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models.
NeurIPS
Fan Liu, Hao Liu, Wenzhao Jiang
2022 J jnl
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models.
CoRR
Fan Liu, Hao Liu, Wenzhao Jiang
2022 J jnl
Predicting a Person's Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network.
ACM Trans. Knowl. Discov. Data
Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong
2022 J jnl
Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong
2022 A* conf
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.
KDD
Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
2022 — conf
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.
ACL (Findings)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2022 J jnl
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.
CoRR
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2022 J jnl
Unbiased Implicit Feedback via Bi-level Optimization.
CoRR
Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao Liu, Xue Liu
2022 J jnl
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data
Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong
2021 J jnl
A Multimodal Sentiment Dataset for Video Recommendation.
CoRR
Hongxuan Tang, Hao Liu, Xinyan Xiao, Hua Wu
2021 J jnl
A Sentiment Analysis Dataset for Trustworthiness Evaluation.
CoRR
Lijie Wang, Hao Liu, Shuyuan Peng, Hongxuan Tang, Xinyan Xiao, Ying Chen, Hua Wu
2021 A conf
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
SDM
Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu
2021 A* conf
Community-Aware Multi-Task Transportation Demand Prediction.
AAAI
Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
2021 J jnl
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation.
CoRR
Carter Blum, Hao Liu, Hui Xiong
2021 A* conf
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment.
KDD
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021 J jnl
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment.
CoRR
Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021 A* conf
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.
ICDM
Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu
2021 J jnl
Generalized Data Weighting via Class-level Gradient Manipulation.
CoRR
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou
2021 A* conf
Generalized DataWeighting via Class-Level Gradient Manipulation.
NeurIPS
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou
2021 A* conf
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching.
WWW
Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong
2021 A* conf
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
WWW
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021 J jnl
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
CoRR
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021 A* conf
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
KDD
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021 J jnl
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
CoRR
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021 A* conf
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
AAAI
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2021 J jnl
Learning to Walk with Dual Agents for Knowledge Graph Reasoning.
CoRR
Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
2021 A* conf
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
KDD
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021 J jnl
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
CoRR
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021 A* conf
Out-of-Town Recommendation with Travel Intention Modeling.
AAAI
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
2021 J jnl
Out-of-Town Recommendation with Travel Intention Modeling.
CoRR
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
2021 A* conf
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling.
AAAI
Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong
2021 J jnl
Spatial Object Recommendation with Hints: When Spatial Granularity Matters.
CoRR
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
2021 A* conf
Talent Demand Forecasting with Attentive Neural Sequential Model.
KDD
Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
2021 — conf
Transportation Recommendation with Fairness Consideration.
DASFAA (3)
Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong
2021 — conf
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.
ACL/IJCNLP (1)
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2020 A* conf
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
ICDM
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020 J jnl
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
CoRR
Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu
2020 A* conf
Competitive Analysis for Points of Interest.
KDD
Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong
2020 — conf
Diversified Multiple Instance Learning for Document-Level Multi-Aspect Sentiment Classification.
EMNLP (1)
Yunjie Ji, Hao Liu, Bolei He, Xinyan Xiao, Hua Wu, Yanhua Yu
2020 J jnl
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop.
CoRR
Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
2020 J jnl
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
CoRR
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2020 J jnl
Multi-Modal Transportation Recommendation with Unified Route Representation Learning.
Proc. VLDB Endow.
Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong
2020 A* conf
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine.
KDD
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong
2020 J jnl
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine.
CoRR
Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong
2020 A* conf
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis.
ACL
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
2020 J jnl
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis.
CoRR
Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
2020 A* conf
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
AAAI
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
2020 A* conf
Spatial Object Recommendation with Hints: When Spatial Granularity Matters.
SIGIR
Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
2020 A* conf
Spatio-Temporal Dual Graph Attention Network for Query-POI Matching.
SIGIR
Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
2020 J jnl
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.
CoRR
Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
2020 A* conf
Why We Go Where We Go: Profiling User Decisions on Choosing POIs.
IJCAI
Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong
2019 A* conf
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System.
KDD
Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong
2019 A* conf
Joint Representation Learning for Multi-Modal Transportation Recommendation.
AAAI
Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong
2019 J jnl
Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction.
CoRR
Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
2018 J jnl
Efficient Detection of Soft Concatenation Mapping.
IEEE Trans. Knowl. Data Eng.
Hao Liu, Jiang Xiao, Haoyu Tan, Qiong Luo, Jintao Zhao, Lionel M. Ni
2018 C conf
Intelligent decision making for UAV based on Monte Carlo Simulation.
ICARCV
Yunhong Ma, Hao Liu, Yaozhong Zhang, Qiang He, Zhao Xu
2018 — conf
Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit.
IEEE BigData
Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, Lionel M. Ni
2017 B conf
A Time Series Classification Method for Battery Event Detection.
ICPADS
Fengchao Peng, Xibo Zhou, Hao Liu, Haoyu Tan, Qiong Luo, Jiye Hu
2017 — conf
Cuttle: Enabling Cross-Column Compression in Distributed Column Stores.
APWeb/WAIM (2)
Hao Liu, Jiang Xiao, Xianjun Guo, Haoyu Tan, Qiong Luo, Lionel M. Ni
2017 B conf
Scalable Hash Ripple Join on Spark.
ICPADS
Hao Liu, Jiang Xiao, Fengchao Peng
2017 A conf
TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems.
CIKM
Hao Liu, Yudian Ji, Jiang Xiao, Haoyu Tan, Qiong Luo, Lionel M. Ni
2016 B conf
A Comparison of Road-Network-Constrained Trajectory Compression Methods.
ICPADS
Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo
2016 — conf
UStore: An optimized storage system for enterprise data warehouses at UnionPay.
IEEE BigData
Hongfeng Chai, Hao Liu, Xibo Zhou, Yanjun Xu, Shuo He, Jinzhi Hua, Dongjie He, Weihuai Liu