Modeling Real Estate for School District Identification. - Fei Tan 002; Chaoran Cheng; Zhi Wei 001 (ICDM, 2016)

Annealed Sparsity via Adaptive and Dynamic Shrinking. - Kai Zhang 001; Shandian Zhe; Chaoran Cheng; Zhi Wei 001; Zhengzhang Chen; Haifeng Chen; Guofei Jiang; Yuan Qi 001; Jieping Ye (KDD, 2016)

Time-Aware Latent Hierarchical Model for Predicting House Prices. - Fei Tan 002; Chaoran Cheng; Zhi Wei 001 (ICDM, 2017)

Success Prediction on Crowdfunding with Multimodal Deep Learning. - Chaoran Cheng; Fei Tan 002; Xiurui Hou; Zhi Wei 001 (IJCAI, 2019)

Modeling and elucidation of housing price. - Fei Tan 002; Chaoran Cheng; Zhi Wei 001 (Data Min. Knowl. Discov., 2019)

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. - Chaoran Cheng; Fei Tan 002; Zhi Wei 001 (AAAI, 2020)

A 50 Mbps/pin 12-input/output 40 nsec Latency Wireless Connector Using a Transmission Line Coupler with Compact SERDES IC in 180 nm CMOS. - Kohei Ando; Kazuhisa Akatsuka; Chaoran Cheng; Tomoya Arakawa; Kota Shiba; Mototsugu Hamada; Tadahiro Kuroda (ICECS, 2020)

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. - Yifan Wang 014; Yiping Song; Shuai Li; Chaoran Cheng; Wei Ju 001; Ming Zhang 004; Sheng Wang 012 (AAAI, 2022)

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. - Shitong Luo; Jiahan Li; Jiaqi Guan; Yufeng Su; Chaoran Cheng; Jian Peng 001; Jianzhu Ma (CVPR, 2022)

Directed Weight Neural Networks for Protein Structure Representation Learning. - Jiahan Li; Shitong Luo; Congyue Deng; Chaoran Cheng; Jiaqi Guan; Leonidas J. Guibas; Jian Peng 001; Jianzhu Ma (CoRR, 2022)

Equivariant Neural Operator Learning with Graphon Convolution. - Chaoran Cheng; Jian Peng 001 (NeurIPS, 2023)

Influence of knee flexion on early femoral fracture healing: A combined analysis of musculoskeletal dynamics and finite elements. - Chaoran Cheng; Junxia Zhang; Jun Jia; Xinghua Li (Comput. Methods Programs Biomed., 2023)

Full-Atom Peptide Design based on Multi-modal Flow Matching. - Jiahan Li; Chaoran Cheng; Zuofan Wu; Ruihan Guo; Shitong Luo; Zhizhou Ren; Jian Peng 001; Jianzhu Ma (ICML, 2024)

Categorical Flow Matching on Statistical Manifolds. - Chaoran Cheng; Jiahan Li; Jian Peng 001; Ge Liu (NeurIPS, 2024)

Neural P3M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs. - Yusong Wang; Chaoran Cheng; Shaoning Li; Yuxuan Ren; Bin Shao; Ge Liu; Pheng-Ann Heng; Nanning Zheng 001 (NeurIPS, 2024)

Geometric Point Attention Transformer for 3D Shape Reassembly. - Jiahan Li; Chaoran Cheng; Jianzhu Ma; Ge Liu (CoRR, 2024)

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. - Jiahan Li; Tong Chen; Shitong Luo; Chaoran Cheng; Jiaqi Guan; Ruihan Guo; Sheng Wang 001; Ge Liu; Jian Peng 001; Jianzhu Ma (CoRR, 2024)

Hard Constraint Guided Flow Matching for Gradient-Free Generation of PDE Solutions. - Chaoran Cheng; Boran Han; Danielle C. Maddix; Abdul Fatir Ansari; Andrew Stuart; Michael W. Mahoney; Yuyang Wang 001 (CoRR, 2024)

Gradient-Free Generation for Hard-Constrained Systems. - Chaoran Cheng; Boran Han; Danielle C. Maddix; Abdul Fatir Ansari; Andrew Stuart; Michael W. Mahoney; Bernie Wang 001 (ICLR, 2025)

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization. - Jiajun Fan; Shuaike Shen; Chaoran Cheng; Yuxin Chen; Chumeng Liang; Ge Liu (ICLR, 2025)

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. - Jiahan Li; Tong Chen; Shitong Luo; Chaoran Cheng; Jiaqi Guan; Ruihan Guo; Sheng Wang; Ge Liu; Jian Peng; Jianzhu Ma (ICLR, 2025)

Training Free Guided Flow-Matching with Optimal Control. - Luran Wang; Chaoran Cheng; Yizhen Liao; Yanru Qu; Ge Liu (ICLR, 2025)

Orientation-Aware Networks for Protein Structure Representation Learning. - Jiahan Li; Shitong Luo; Congyue Deng; Chaoran Cheng; Jiaqi Guan; Leonidas J. Guibas; Jian Peng 001; Jianzhu Ma (RECOMB, 2025)

α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models. - Chaoran Cheng; Jiahan Li; Jiajun Fan; Ge Liu (CoRR, 2025)