Zichang Liu - RankMe

27 papers A* 7A 1C 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ScaleBITS: Scalable Bitwidth Search for Hardware-Aligned Mixed-Precision LLMs. CoRR Xinlin Li, Timothy Chou, Josh Fromm, Zichang Liu, Yunjie Pan, Christina Fragouli
2024	J	`jnl`	Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model. CoRR Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao
2023	A*	`conf`	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
2023	J	`jnl`	Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. CoRR Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen
2023	—	`conf`	Golden Sine SABO Integrating Multiple Strategies. ICAICE Zichang Liu, Hui Liang, Siyu Li, Rongcai Wang, Yueming Han
2023	J	`jnl`	Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces. CoRR Aditya Desai, Benjamin Meisburger, Zichang Liu, Anshumali Shrivastava
2023	A*	`conf`	Learning Multimodal Data Augmentation in Feature Space. ICLR Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2023	A*	`conf`	One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning. NeurIPS Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava
2023	J	`jnl`	Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer. Sensors Siyu Li, Zichang Liu, Yunbin Yan, Rongcai Wang, Enzhi Dong, Zhonghua Cheng
2023	A*	`conf`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2023	J	`jnl`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2022	—	`conf`	HALOS: Hashing Large Output Space for Cheap Inference. MLSys Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Junyan Zhang, Jonathan Li, Beidi Chen, Anshumali Shrivastava
2022	J	`jnl`	Learning Multimodal Data Augmentation in Feature Space. CoRR Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2022	A*	`conf`	Retaining Knowledge for Learning with Dynamic Definition. NeurIPS Zichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava
2022	A*	`conf`	SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation. CVPR Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue
2021	J	`jnl`	DONet: Learning Category-Level 6D Object Pose and Size Estimation from Depth Observation. CoRR Haitao Lin, Zichang Liu, Chilam Cheang, Lingwei Zhang, Yanwei Fu, Xiangyang Xue
2021	J	`jnl`	Efficient Inference via Universal LSH Kernel. CoRR Zichang Liu, Benjamin Coleman, Anshumali Shrivastava
2021	—	`conf`	Efficient and Less Centralized Federated Learning. ECML/PKDD (1) Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
2021	J	`jnl`	Efficient and Less Centralized Federated Learning. CoRR Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava
2021	A*	`conf`	MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. ICLR Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Ré
2021	A	`conf`	Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. DATE Zichang Liu, Li Chou, Anshumali Shrivastava
2020	J	`jnl`	Climbing the WOL: Training for Cheaper Inference. CoRR Zichang Liu, Zhaozhuo Xu, Alan Baonan Ji, Jonathan Li, Beidi Chen, Anshumali Shrivastava
2020	J	`jnl`	Conditional Automated Channel Pruning for Deep Neural Networks. CoRR Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen
2020	J	`jnl`	Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking. CoRR Zichang Liu, Li Chou, Anshumali Shrivastava
2019	J	`jnl`	Guigle: A GUI Search Engine for Android Apps. CoRR Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
2019	—	`conf`	Guigle: a GUI search engine for Android apps. ICSE (Companion Volume) Carlos Bernal-Cárdenas, Kevin Moran, Michele Tufano, Zichang Liu, Linyong Nan, Zhehan Shi, Denys Poshyvanyk
2018	C	`conf`	Network Traffic Anomaly Detection Based on Wavelet Analysis. SERA Zhen Du, Lipeng Ma, Huakang Li, Qun Li, Guozi Sun, Zichang Liu