Tong Che
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
10
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. | Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas |
| 2025 | ICLR | LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation. | Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris N. Metaxas |
| 2025 | NAACL | LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search. | Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou |
| 2024 | ICLR | EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. | Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang |
| 2024 | ICML | Parallelized Spatiotemporal Slot Binding for Videos. | Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che |
| 2023 | ICDCS | Secure Collaborative Learning in Mining Pool via Robust and Efficient Verification. | Xiaoli Zhang, Zhicheng Xu, Hongbing Cheng, Tong Che, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Chunping Wang, Qi Li |
| 2023 | ICLR | Sparse Mixture-of-Experts are Domain Generalizable Learners. | Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu |
| 2023 | ICLR | Robust and Controllable Object-Centric Learning through Energy-based Models. | Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull |
| 2023 | ICML | Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. | Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone |
| 2023 | ICRA | Guided Conditional Diffusion for Controllable Traffic Simulation. | Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone |
| 2022 | EMNLP | SPE: Symmetrical Prompt Enhancement for Fact Probing. | Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi |
| 2021 | AAAI | Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. | Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio |
| 2021 | ICCV | Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. | Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li |
| 2020 | ECCV | AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation. | Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You |
| 2019 | ICCV | Conservative Wasserstein Training for Pose Estimation. | Xiaofeng Liu, Yang Zou, Tong Che, Ping Jia, Peng Ding, Jane You, B. V. K. Vijaya Kumar |
| 2018 | ICLR | Residual Connections Encourage Iterative Inference. | Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio |
| 2017 | ICLR | Mode Regularized Generative Adversarial Networks. | Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, Wenjie Li |