DiJia Su - RankMe

17 papers A* 3Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training. CoRR Yixin Liu, Yue Yu, DiJia Su, Sid Wang, Xuewei Wang, Song Jiang, Bo Liu, Arman Cohan, Yuandong Tian, Zhengxing Chen
2025	A*	`conf`	Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. ICLR DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection. CoRR DiJia Su, Andrew Gu, Jane Xu, Yuandong Tian, Jiawei Zhao
2025	J	`jnl`	SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. CoRR Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi S. Jaakkola, Yuandong Tian, Bo Liu
2025	J	`jnl`	The Path Not Taken: RLVR Provably Learns Off the Principals. CoRR Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai
2025	A*	`conf`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. ICML DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. CoRR DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2024	J	`jnl`	Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. CoRR DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng
2024	J	`jnl`	Training Large Language Models to Reason in a Continuous Latent Space. CoRR Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian
2023	J	`jnl`	Optimizing Multidocument Summarization by Blending Reinforcement Learning Policies. IEEE Trans. Artif. Intell. DiJia Su, Difei Su, John M. Mulvey, H. Vincent Poor
2022	J	`jnl`	A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games. CoRR Zihan Ding, DiJia Su, Qinghua Liu, Chi Jin
2022	Misc	`conf`	Competitive Multi-Agent Reinforcement Learning with Self-Supervised Representation. ICASSP DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor
2022	J	`jnl`	Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting. CoRR DiJia Su, Bertrand Douillard, Rami Al-Rfou, Cheolho Park, Benjamin Sapp
2022	—	`—`	Topics in Machine Learning DiJia Su
2021	J	`jnl`	MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning. CoRR DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor
2020	A*	`conf`	ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML DiJia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
2015	—	`conf`	Secrecy capacity and wireless energy harvesting in amplify-and-forward relay networks. PACRIM DiJia Su, S. A. Mousavifar, C. Leung