Xin Wang - RankMe

64 papers A* 19A 3Misc 2Journal 35Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DVD: A Robust Method for Detecting Variant Contamination in Large Language Model Evaluation. CoRR Renzhao Liang, Jingru Chen, Bo Jia, Bo Deng, Chenggang Xie, Yidong Wang, Ke Jin, Xin Wang, Linfeng Zhang, Cunxiang Wang
2026	J	`jnl`	MVSS: A Unified Framework for Multi-View Structured Survey Generation. CoRR Yinqi Liu, Yueqi Zhu, Yongkang Zhang, Xinfeng Li, Feiran Liu, Yufei Sun, Xin Wang, Renzhao Liang, Yidong Wang, Cunxiang Wang
2025	J	`jnl`	Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future. CoRR Yidong Wang, Xin Wang, Cunxiang Wang, Junfeng Fang, Qiufeng Wang, Jianing Chu, Xuran Meng, Shuxun Yang, Libo Qin, Yue Zhang, Wei Ye, Shikun Zhang
2024	J	`jnl`	A Survey on Evaluating Large Language Models in Code Generation Tasks. CoRR Liguo Chen, Qi Guo, Hongrui Jia, Zhengran Zeng, Xin Wang, Yijiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang
2024	A*	`conf`	Gorilla: Large Language Model Connected with Massive APIs. NeurIPS Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
2024	J	`jnl`	ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation. CoRR Yijiang Xu, Hongrui Jia, Liguo Chen, Xin Wang, Zhengran Zeng, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang, Zhonghai Wu
2024	A*	`conf`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. NeurIPS Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Sharon Li, Neel Joshi
2024	J	`jnl`	Phi-4 Technical Report. CoRR Marah I Abdin, Jyoti Aneja, Harkirat S. Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang
2024	—	`conf`	When Do We Not Need Larger Vision Models? ECCV (8) Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
2024	J	`jnl`	When Do We Not Need Larger Vision Models? CoRR Baifeng Shi, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell
2023	J	`jnl`	Controllable Text-to-Image Generation with GPT-4. CoRR Tianjun Zhang, Yi Zhang, Vibhav Vineet, Neel Joshi, Xin Wang
2023	A*	`conf`	Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CVPR Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick
2023	J	`jnl`	Gorilla: Large Language Model Connected with Massive APIs. CoRR Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
2023	J	`jnl`	Refocusing Is Key to Transfer Learning. CoRR Baifeng Shi, Siyu Gai, Trevor Darrell, Xin Wang
2023	A	`conf`	Scaling Novel Object Detection with Weakly Supervised Detection Transformers. WACV Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
2023	J	`jnl`	Textbooks Are All You Need. CoRR Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li
2023	A*	`conf`	Top-Down Visual Attention from Analysis by Synthesis. CVPR Baifeng Shi, Trevor Darrell, Xin Wang
2023	J	`jnl`	Top-Down Visual Attention from Analysis by Synthesis. CoRR Baifeng Shi, Trevor Darrell, Xin Wang
2023	A*	`conf`	Understanding Zero-shot Adversarial Robustness for Large-Scale Models. ICLR Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
2022	—	`conf`	Context-Aware Streaming Perception in Dynamic Environments. ECCV (38) Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
2022	J	`jnl`	Context-Aware Streaming Perception in Dynamic Environments. CoRR Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
2022	A*	`conf`	DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CVPR Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022	J	`jnl`	Doubly Right Object Recognition: A Why Prompt for Visual Rationales. CoRR Chengzhi Mao, Revant Teotia, Amrutha Sundar, Sachit Menon, Junfeng Yang, Xin Wang, Carl Vondrick
2022	Misc	`conf`	Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. CoRL Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez
2022	—	`conf`	Neural-Sim: Learning to Generate Training Data with NeRF. ECCV (23) Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	J	`jnl`	Neural-Sim: Learning to Generate Training Data with NeRF. CoRR Yunhao Ge, Harkirat S. Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet
2022	A*	`conf`	Robust Contrastive Learning against Noisy Views. CVPR Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
2022	J	`jnl`	Robust Contrastive Learning against Noisy Views. CoRR Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song
2022	J	`jnl`	Scaling Novel Object Detection with Weakly Supervised Detection Transformers. CoRR Tyler LaBonte, Yale Song, Xin Wang, Vibhav Vineet, Neel Joshi
2022	J	`jnl`	Understanding Zero-Shot Adversarial Robustness for Large-Scale Models. CoRR Chengzhi Mao, Scott Geng, Junfeng Yang, Xin Wang, Carl Vondrick
2022	A*	`conf`	Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. CVPR Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
2022	J	`jnl`	Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. CoRR Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
2022	A*	`conf`	Visual Attention Emerges from Recurrent Sparse Reconstruction. ICML Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
2022	J	`jnl`	Visual Attention Emerges from Recurrent Sparse Reconstruction. CoRR Baifeng Shi, Yale Song, Neel Joshi, Trevor Darrell, Xin Wang
2021	J	`jnl`	DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CoRR Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021	A*	`conf`	Instance-Aware Predictive Navigation in Multi-Agent Environments. ICRA Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
2021	J	`jnl`	Instance-Aware Predictive Navigation in Multi-Agent Environments. CoRR Jinkun Cao, Xin Wang, Trevor Darrell, Fisher Yu
2021	A*	`conf`	Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
2021	J	`jnl`	Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell
2021	A*	`conf`	Wanderlust: Online Continual Object Detection in the Real World. ICCV Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta
2021	J	`jnl`	Wanderlust: Online Continual Object Detection in the Real World. CoRR Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta
2020	A*	`conf`	BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell
2020	A*	`conf`	Frustratingly Simple Few-Shot Object Detection. ICML Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu
2020	J	`jnl`	Frustratingly Simple Few-Shot Object Detection. CoRR Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu
2020	A*	`conf`	Learning Saliency Propagation for Semi-Supervised Instance Segmentation. CVPR Yanzhao Zhou, Xin Wang, Jianbin Jiao, Trevor Darrell, Fisher Yu
2020	—	`—`	The Design of Dynamic Neural Networks for Efficient Learning and Inference Xin Wang
2019	A*	`conf`	ACE: Adapting to Changing Environments for Semantic Segmentation. ICCV Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis
2019	J	`jnl`	ACE: Adapting to Changing Environments for Semantic Segmentation. CoRR Zuxuan Wu, Xin Wang, Joseph E. Gonzalez, Tom Goldstein, Larry S. Davis
2019	A*	`conf`	Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. CVPR Samvit Jain, Xin Wang, Joseph E. Gonzalez
2019	A	`conf`	Deep Mixture of Experts via Shallow Embedding. UAI Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
2019	J	`jnl`	Domain-Aware Dynamic Networks. CoRR Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer
2019	A*	`conf`	Few-Shot Object Detection via Feature Reweighting. ICCV Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
2019	A*	`conf`	TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CVPR Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
2019	J	`jnl`	TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. CoRR Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
2019	J	`jnl`	Task-Aware Deep Sampling for Feature Generation. CoRR Xin Wang, Fisher Yu, Trevor Darrell, Joseph E. Gonzalez
2018	J	`jnl`	Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. CoRR Samvit Jain, Xin Wang, Joseph Gonzalez
2018	J	`jnl`	Deep Mixture of Experts via Shallow Embedding. CoRR Xin Wang, Fisher Yu, Ruth Wang, Yi-An Ma, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez
2018	J	`jnl`	Few-shot Object Detection via Feature Reweighting. CoRR Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
2018	A	`conf`	IDK Cascades: Fast Deep Learning by Learning not to Overthink. UAI Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez
2018	—	`conf`	SkipNet: Learning Dynamic Routing in Convolutional Networks. ECCV (13) Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez
2017	Misc	`conf`	Clipper: A Low-Latency Online Prediction Serving System. NSDI Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica
2017	J	`jnl`	IDK Cascades: Fast Deep Learning by Learning not to Overthink. CoRR Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Joseph E. Gonzalez
2017	J	`jnl`	SkipNet: Learning Dynamic Routing in Convolutional Networks. CoRR Xin Wang, Fisher Yu, Zi-Yi Dou, Joseph E. Gonzalez
2016	J	`jnl`	Clipper: A Low-Latency Online Prediction Serving System. CoRR Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica