Shaobo Wang - RankMe

44 papers A* 8Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis. CoRR Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Xuan Ren, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang
2026	J	`jnl`	Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models. CoRR Yuhang Han, Yuyang Wu, Zhengbo Jiao, Yiyu Wang, Xuyang Liu, Shaobo Wang, Hanlin Xu, Xuming Hu, Linfeng Zhang
2026	J	`jnl`	Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning. CoRR Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang
2026	J	`jnl`	Flash-Unified: A Training-Free and Task-Aware Acceleration Framework for Native Unified Models. CoRR Junlong Ke, Zichen Wen, Boxue Yang, Yantai Yang, Xuyang Liu, Chenfei Liao, Zhaorun Chen, Shaobo Wang, Linfeng Zhang
2026	J	`jnl`	Grounding and Enhancing Informativeness and Utility in Dataset Distillation. CoRR Shaobo Wang, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang
2026	A*	`conf`	ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation. AAAI Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang
2026	J	`jnl`	OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration. CoRR Shaobo Wang, Xuan Ouyang, Tianyi Xu, Yuzheng Hu, Jialin Liu, Guo Chen, Tianyu Zhang, Junhao Zheng, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang
2026	J	`jnl`	Socratic-Geo: Synthetic Data Generation and Geometric Reasoning via Multi-Agent Interaction. CoRR Zhengbo Jiao, Shaobo Wang, Zifan Zhang, Wei Wang, Bing Zhao, Hu Wei, Linfeng Zhang
2026	J	`jnl`	Towards Principled Dataset Distillation: A Spectral Distribution Perspective. CoRR Ruixi Wu, Shaobo Wang, Jiahuan Chen, Zhiyuan Liu, Yicun Yang, Zhaorun Chen, Zekai Li, Kaixin Li, Xinming Wang, Hongzhu Yi, Kai Wang, Linfeng Zhang
2026	A*	`conf`	UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective. AAAI Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang
2025	J	`jnl`	CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs. CoRR Shaobo Wang, Yongliang Miao, Yuancheng Liu, Qianli Ma, Ning Liao, Linfeng Zhang
2025	A*	`conf`	Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching. ACM Multimedia Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang
2025	J	`jnl`	Compute Only 16 Tokens in One Timestep: Accelerating Diffusion Transformers with Cluster-Driven Feature Caching. CoRR Zhixin Zheng, Xinyu Wang, Chang Zou, Shaobo Wang, Linfeng Zhang
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	—	`conf`	Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. ACL (1) Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning. CoRR Shaobo Wang, Xiangqi Jin, Ziming Wang, Jize Wang, Jiajun Zhang, Kaixin Li, Zichen Wen, Zhong Li, Conghui He, Xuming Hu, Linfeng Zhang
2025	A*	`conf`	Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CVPR Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang
2025	J	`jnl`	Dataset Distillation with Neural Characteristic Function: A Minmax Perspective. CoRR Shaobo Wang, Yicun Yang, Zhiyuan Liu, Chenghao Sun, Xuming Hu, Conghui He, Linfeng Zhang
2025	J	`jnl`	Diffusion LLM with Native Variable Generation Lengths: Let [EOS] Lead the Way. CoRR Yicun Yang, Cong Wang, Shaobo Wang, Zichen Wen, Biqing Qi, Hanlin Xu, Linfeng Zhang
2025	J	`jnl`	Efficient Multi-modal Large Language Models via Progressive Consistency Distillation. CoRR Zichen Wen, Shaobo Wang, Yufa Zhou, Junyuan Zhang, Qintong Zhang, Yifeng Gao, Zhaorun Chen, Bin Wang, Weijia Li, Conghui He, Linfeng Zhang
2025	A*	`conf`	Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers. ICLR Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	ImagebindDC: Compressing Multi-modal Data with Imagebind-based Condensation. CoRR Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang
2025	J	`jnl`	KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches. CoRR Mingquan Feng, Yixin Huang, Yifan Fu, Shaobo Wang, Junchi Yan
2025	J	`jnl`	Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs. CoRR Yufa Zhou, Shaobo Wang, Xingyu Dong, Xiangqi Jin, Yifang Chen, Yue Min, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang
2025	J	`jnl`	Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data? CoRR Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang
2025	J	`jnl`	Shifting AI Efficiency From Model-Centric to Data-Centric Compression. CoRR Xuyang Liu, Zichen Wen, Shaobo Wang, Junjie Chen, Zhishan Tao, Yubo Wang, Xiangqi Jin, Chang Zou, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, Linfeng Zhang
2025	J	`jnl`	Socratic-Zero : Bootstrapping Reasoning via Data-Free Agent Co-evolution. CoRR Shaobo Wang, Zhengbo Jiao, Zifan Zhang, Yilang Peng, Xu Ze, Boyu Yang, Wei Wang, Hu Wei, Linfeng Zhang
2025	A*	`conf`	SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching. ACM Multimedia Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Fei Ren, Shaobo Wang, Kaixin Li, Linfeng Zhang
2025	J	`jnl`	SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching. CoRR Jiacheng Liu, Chang Zou, Yuanhuiyi Lyu, Fei Ren, Shaobo Wang, Kaixin Li, Linfeng Zhang
2025	A*	`conf`	Stop Looking for "Important Tokens" in Multimodal Language Models: Duplication Matters More. EMNLP Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang
2025	J	`jnl`	Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More. CoRR Zichen Wen, Yifeng Gao, Shaobo Wang, Junyuan Zhang, Qintong Zhang, Weijia Li, Conghui He, Linfeng Zhang
2025	J	`jnl`	UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective. CoRR Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang
2025	J	`jnl`	VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction. CoRR Shaobo Wang, Tianle Niu, Runkang Yang, Deshan Liu, Xu He, Zichen Wen, Conghui He, Xuming Hu, Linfeng Zhang
2025	J	`jnl`	Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning. CoRR Shaobo Wang, Jiaming Wang, Jiajun Zhang, Cong Wang, Yue Min, Zichen Wen, Fei Huang, Huiqiang Jiang, Junyang Lin, Dayiheng Liu, Linfeng Zhang
2025	J	`jnl`	dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching. CoRR Zhiyuan Liu, Yicun Yang, Yaojie Zhang, Junjie Chen, Chang Zou, Qingyuan Wei, Shaobo Wang, Linfeng Zhang
2024	J	`jnl`	DRUPI: Dataset Reduction Using Privileged Information. CoRR Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang
2024	J	`jnl`	Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang
2024	J	`jnl`	Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. CoRR Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan
2024	J	`jnl`	Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
2024	—	`conf`	Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). ECCV (45) Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
2023	J	`jnl`	Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. CoRR Shaobo Wang, Xiangdong Zhang, Junchi Yan
2021	J	`jnl`	Trap of Feature Diversity in the Learning of MLPs. CoRR Dongrui Liu, Shaobo Wang, Jie Ren, Kangrui Wang, Sheng Yin, Quanshi Zhang
2021	A*	`conf`	Visualizing the Emergence of Intermediate Visual Patterns in DNNs. NeurIPS Mingjie Li, Shaobo Wang, Quanshi Zhang
2021	J	`jnl`	Visualizing the Emergence of Intermediate Visual Patterns in DNNs. CoRR Mingjie Li, Shaobo Wang, Quanshi Zhang