Renhe Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
17
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety. | Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu |
| 2026 | ACL | See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers. | Ding Xia, Xinyue Gui, Mark Colley, Fan Gao, Zhongyi Zhou, Dongyuan Li, Renhe Jiang, Takeo Igarashi |
| 2026 | ACL | LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey. | Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang H. Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Philip S. Yu |
| 2026 | KDD | Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting. | Hongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang |
| 2026 | WWW | Node Role-Guided LLMs for Dynamic Graph Clustering. | Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang |
| 2025 | EMNLP | A Survey of RAG-Reasoning Systems in Large Language Models. | Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu |
| 2025 | EMNLP | Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. | Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu |
| 2025 | ICLR | Towards Neural Scaling Laws for Time Series Foundation Models. | Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan |
| 2025 | ICML | BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. | Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian |
| 2025 | IJCAI | Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation. | Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han |
| 2025 | KDD | Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity. | Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura |
| 2025 | KDD | CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events. | Xiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka |
| 2025 | KDD | Non-Homophilic Graph Pre-Training and Prompt Learning. | Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang |
| 2025 | WWW | Revisiting Dynamic Graph Clustering via Matrix Factorization. | Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang |
| 2025 | WWW | Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation. | Xuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen |
| 2025 | SIGIR | A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization. | Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura |
| 2024 | DASFAA | Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. | Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa |
| 2024 | ICDE | Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. | Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng |
| 2024 | ICML | Community-Invariant Graph Contrastive Learning. | Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura |
| 2024 | IJCAI | Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. | Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song |
| 2024 | IJCAI | Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. | Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song |
| 2024 | KDD | Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. | Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song |
| 2023 | AAAI | Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. | Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura |
| 2023 | AAAI | Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. | Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang |
| 2023 | CIKM | MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. | Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki |
| 2023 | CIKM | Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. | Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song |
| 2023 | IJCAI | Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. | Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song |
| 2023 | WWW | Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. | Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu |
| 2023 | WSDM | Towards an Event-Aware Urban Mobility Prediction System. | Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki |
| 2023 | WSDM | Metropolitan-scale Mobility Digital Twin. | Zipei Fan, Renhe Jiang, Ryosuke Shibasaki |
| 2022 | AAAI | Event-Aware Multimodal Mobility Nowcasting. | Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki |
| 2022 | COMPSAC | Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network. | Hangli Ge, Lifeng Lin, Renhe Jiang, Takashi Michikata, Noboru Koshizuka |
| 2022 | DASC | mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. | Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuk Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi |
| 2022 | ICDE | DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). | Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki |
| 2022 | ICST | Documentation-based functional constraint generation for library methods. | Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li |
| 2021 | AAAI | Social-DPF: Socially Acceptable Distribution Prediction of Futures. | Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki |
| 2021 | CIKM | DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. | Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki |
| 2021 | CIKM | Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. | Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki |
| 2021 | ICDE | Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. | Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki |
| 2021 | KDD | ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. | Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang |
| 2020 | AAAI | Multimodal Interaction-Aware Trajectory Prediction in Crowded Space. | Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki |
| 2019 | KDD | DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. | Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki |
| 2018 | AAAI | DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. | Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki |
| 2018 | SCAM | [Research Paper] Semantics-Based Code Search Using Input/Output Examples. | Renhe Jiang, Zhengzhao Chen, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang |