Hanchen Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
19
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Muse: Towards Reproducible Long-Form Song Generation with Fine-Grained Style Control. | Changhao Jiang, Jiahao Chen, Zhenghao Xiang, Zhixiong Yang, Hanchen Wang, Jiabao Zhuang, Xinmeng Che, Jiajun Sun, Hui Li, Yifei Cao, Shihan Dou, Ming Zhang, Junjie Ye, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2026 | EDBT | Accelerating K-Core Computation in Temporal Graphs. | Zhuo Ma, Dong Wen, Hanchen Wang, Wentao Li, Wenjie Zhang, Lu Qin |
| 2026 | ICDE | Data-Centric Foundations of Agentic AI. | Yuxin Jin, Hanchen Wang, Ying Zhang, Wenjie Zhang |
| 2026 | ISKE | Mining Discriminative Salient Objects with Optimal Transport for Few-Shot Image Classification. | Yijia Mi, Haobo Wei, Hanchen Wang, Jianke Yu, Ying Zhang, Xijuan Liu |
| 2025 | ADC | Computing Historical k-Core in Parallel. | Zhuo Ma, Wei Huang, Dong Wen, Hanchen Wang, Zhengyi Yang |
| 2025 | CIKM | Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction. | Ting Li, Hanchen Wang, Yiran Li, Xiaolei Liu |
| 2025 | ICDE | AIGC for Graphs: Current Techniques and Future Trends. | Hanchen Wang, Dawei Cheng, Ying Zhang, Wenjie Zhang |
| 2025 | ICDE | Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks. | Peilun Yang, Hanchen Wang, Zhangyi Xu, Zhengping Qian, Yongheng Wang, Ying Zhang |
| 2025 | ICLR | Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design. | Chenyu Wang, Masatoshi Uehara, Yichun He, Amy Wang, Avantika Lal, Tommi S. Jaakkola, Sergey Levine, Aviv Regev, Hanchen Wang, Tommaso Biancalani |
| 2025 | RECOMB | Learning Multi-cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States. | Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Diamant, Alsu Missarova, Hanchen Wang, Minsheng Hao, Hctor Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg |
| 2025 | WWW | Covering K-Cliques in Billion-Scale Graphs. | Kaiyu Chen, Dong Wen, Hanchen Wang, Zhengyi Yang, Wenjie Zhang, Xuemin Lin |
| 2024 | ADC | TIformer: A Transformer-Based Framework for Time-Series Forecasting with Missing Data. | Zuocheng Ding, Yufan Chen, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang |
| 2024 | DAC | EdGeo: A Physics-guided Generative AI Toolkit for Geophysical Monitoring on Edge Devices. | Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo Lin, Lei Yang |
| 2024 | ICDE | Bipartite Graph Analytics: Current Techniques and Future Trends. | Hanchen Wang, Kai Wang, Wenjie Zhang, Ying Zhang |
| 2024 | ICDE | Neural Similarity Search on Supergraph Containment (Extended Abstract). | Hanchen Wang, Jianke Yu, Xiaoyang Wang, Chen Chen, Wenjie Zhang, Xuemin Lin |
| 2024 | ICDM | GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs. | Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang |
| 2024 | MICCAI | APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. | Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang |
| 2023 | ECAI | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. | Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | KDD | Group-based Fraud Detection Network on e-Commerce Platforms. | Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang |
| 2022 | ICASSP | Matching Point Sets with Quantum Circuit Learning. | Mohammadreza Noormandipour, Hanchen Wang |
| 2022 | ICDE | Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching. | Hanchen Wang, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang, Xuemin Lin |
| 2022 | ICDE | TMN: Trajectory Matching Networks for Predicting Similarity. | Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang |
| 2022 | ICLR | Pre-training Molecular Graph Representation with 3D Geometry. | Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang |
| 2022 | SIGMOD | Neural Subgraph Counting with Wasserstein Estimator. | Hanchen Wang, Rong Hu, Ying Zhang, Lu Qin, Wei Wang, Wenjie Zhang |
| 2021 | ICCV | Unsupervised Point Cloud Pre-training via Occlusion Completion. | Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner |
| 2021 | ICDE | T3S: Effective Representation Learning for Trajectory Similarity Computation. | Peilun Yang, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin |
| 2020 | DASFAA | I/O Efficient Algorithm for c-Approximate Furthest Neighbor Search in High-Dimensional Space. | Wanqi Liu, Hanchen Wang, Ying Zhang, Lu Qin, Wenjie Zhang |
| 2020 | IJCAI | GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. | Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin |
| 2019 | ICDE | Skyline Nearest Neighbor Search on Multi-layer Graphs. | Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang |
| 2019 | ICDE | I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space. | Wanqi Liu, Hanchen Wang, Ying Zhang, Wei Wang, Lu Qin |