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  • Nicolet B, Wechsler F, Madrid-Wolff J, Moser C and Jakob W. (2024). Inverse Rendering for Tomographic Volumetric Additive Manufacturing. ACM Transactions on Graphics. 43:6. (1-17). Online publication date: 19-Dec-2024.

    https://doi.org/10.1145/3687924

  • Binninger A and Sorkine-Hornung O. SD-πXL: Generating Low-Resolution Quantized Imagery via Score Distillation. SIGGRAPH Asia 2024 Conference Papers. (1-12).

    https://doi.org/10.1145/3680528.3687570

  • Tong J, Yin M, Wang H, Pan Q, Lian D and chen E. MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. Web Information Systems Engineering – WISE 2024. (164-178).

    https://doi.org/10.1007/978-981-96-0570-5_12

  • Wang Y, Ge Y, Li Z, Li L and Chen R. (2024). M3Rec: A Context-Aware Offline Meta-Level Model-Based Reinforcement Learning Approach for Cold-Start Recommendation. ACM Transactions on Information Systems. 42:6. (1-27). Online publication date: 30-Nov-2024.

    https://doi.org/10.1145/3659947

  • Shao P, Wu L, Zhang K, Lian D, Hong R, Li Y and Wang M. (2024). Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Transactions on Information Systems. 42:5. (1-26). Online publication date: 30-Sep-2024.

    https://doi.org/10.1145/3656639

  • Tang X, Chen L, Shi H and Lyu D. (2024). DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs. ACM Transactions on Information Systems. 42:5. (1-23). Online publication date: 30-Sep-2024.

    https://doi.org/10.1145/3653015

  • Rahmani H, Naghiaei M and Deldjoo Y. (2024). A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems. ACM Transactions on Recommender Systems. 2:3. (1-24). Online publication date: 30-Sep-2024.

    https://doi.org/10.1145/3651167

  • Chen Q, Chen Z, Kim V, Aigerman N, Zhang H and Chaudhuri S. DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. Computer Vision – ECCV 2024. (110-127).

    https://doi.org/10.1007/978-3-031-72933-1_7

  • Hu Z, Zhang Z, Feng W and Liu Q. Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. Knowledge Science, Engineering and Management. (164-179).

    https://doi.org/10.1007/978-981-97-5495-3_12

  • Chen J, Schaefer F and Desbrun M. (2024). Lightning-fast Method of Fundamental Solutions. ACM Transactions on Graphics. 43:4. (1-16). Online publication date: 19-Jul-2024.

    https://doi.org/10.1145/3658199

  • Li X, Li M, Han X, Wang H, Yang Y and Jiang C. A Dynamic Duo of Finite Elements and Material Points. ACM SIGGRAPH 2024 Conference Papers. (1-11).

    https://doi.org/10.1145/3641519.3657449

  • Liu H, Xu C, Yang Y, Zeng L and He S. (2024). Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10.1109/CVPR52733.2024.00644. 979-8-3503-5300-6. (6743-6752).

    https://ieeexplore.ieee.org/document/10656506/

  • Yang D, Kleinman E, Troiano G, Tochilnikova E and Harteveld C. Snake Story: Exploring Game Mechanics for Mixed-initiative Co-creative Storytelling Games. Proceedings of the 19th International Conference on the Foundations of Digital Games. (1-11).

    https://doi.org/10.1145/3649921.3649996

  • Huang K, Chitalu F, Lin H and Komura T. (2024). GIPC: Fast and Stable Gauss-Newton Optimization of IPC Barrier Energy. ACM Transactions on Graphics. 43:2. (1-18). Online publication date: 30-Apr-2024.

    https://doi.org/10.1145/3643028

  • Chen R, Zhao J, Zhang F, Chalmers A and Rhee T. Neural Radiance Fields for Dynamic View Synthesis Using Local Temporal Priors. Computational Visual Media. (74-90).

    https://doi.org/10.1007/978-981-97-2095-8_5

  • Han D, Jing X, Chen Y, Liu J, Liao K and Li W. (2024). Cold-Start Recommendation based on Knowledge Graph and Meta-Learning under Positive and Negative sampling. ACM Transactions on Recommender Systems. 0:0.

    https://doi.org/10.1145/3654804

  • Shi X, Liu Q, Xie H, Wu D, Peng B, Shang M and Lian D. (2023). Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Transactions on Information Systems. 42:2. (1-30). Online publication date: 31-Mar-2024.

    https://doi.org/10.1145/3618107

  • Qiu J, Zhu Y, Jiang P, Cheng M and Ren B. (2023). RDNeRF: relative depth guided NeRF for dense free view synthesis. The Visual Computer: International Journal of Computer Graphics. 40:3. (1485-1497). Online publication date: 1-Mar-2024.

    https://doi.org/10.1007/s00371-023-02863-5

  • Dai S, Zhu X, Li N, Dai T and Wang Z. Procedural level generation with diffusion models from a single example. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence and Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence and Fourteenth Symposium on Educational Advances in Artificial Intelligence. (10021-10029).

    https://doi.org/10.1609/aaai.v38i9.28865

  • Chen Q, Chen Z, Zhou H and Zhang H. ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering. SIGGRAPH Asia 2023 Conference Papers. (1-11).

    https://doi.org/10.1145/3610548.3618201

  • Wang K, Xu X, Zheng Y, Zhou D, Guo S, Qin Y and Guo X. Computational Design of Wiring Layout on Tight Suits with Minimal Motion Resistance. SIGGRAPH Asia 2023 Conference Papers. (1-12).

    https://doi.org/10.1145/3610548.3618200

  • Paliwal A, Nguyen B, Tsarov A and Kalantari N. (2023). ReShader: View-Dependent Highlights for Single Image View-Synthesis. ACM Transactions on Graphics. 42:6. (1-9). Online publication date: 5-Dec-2023.

    https://doi.org/10.1145/3618393

  • Wu X, Xu J, Zhang X, Bao H, Huang Q, Shen Y, Tompkin J and Xu W. (2023). ScaNeRF: Scalable Bundle-Adjusting Neural Radiance Fields for Large-Scale Scene Rendering. ACM Transactions on Graphics. 42:6. (1-18). Online publication date: 5-Dec-2023.

    https://doi.org/10.1145/3618369

  • Fei Z, Wang J, Liu K, Attahi E and Huang B. (2023). Deep feature fusion‐based stacked denoising autoencoder for tag recommendation systems. IET Cyber-Systems and Robotics. 5:3. Online publication date: 20-Sep-2023.

    https://doi.org/10.1049/csy2.12095

  • Lan L, Li M, Jiang C, Wang H and Yang Y. (2023). Second-order Stencil Descent for Interior-point Hyperelasticity. ACM Transactions on Graphics. 42:4. (1-16). Online publication date: 1-Aug-2023.

    https://doi.org/10.1145/3592104