Hao Zhang - RankMe

108 papers A* 27A 3Misc 2Journal 63Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths. CoRR Xuezhe Ma, Shicheng Wen, Linghao Jin, Bilge Acun, Ruihang Lai, Bohan Hou, Will Lin, Hao Zhang, Songlin Yang, Ryan Lee, Mengxi Wu, Jonathan May, Luke Zettlemoyer, Carole-Jean Wu
2026	J	`jnl`	Internalizing Agency from Reflective Experience. CoRR Rui Ge, Yichao Fu, Yuyang Qian, Junda Su, Yiming Zhao, Peng Zhao, Hao Zhang
2026	J	`jnl`	Neural Eigenfunctions are Structured Representation Learners. IEEE Trans. Pattern Anal. Mach. Intell. Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2026	J	`jnl`	Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections. CoRR Lukasz Borchmann, Jordy Van Landeghem, Michal Turski, Shreyansh Padarha, Ryan Othniel Kearns, Adam Mahdi, Niels Rogge, Clémentine Fourrier, Siwei Han, Huaxiu Yao, Artemis Llabrés, Yiming Xu, Dimosthenis Karatzas, Hao Zhang, Anupam Datta
2026	J	`jnl`	When Drafts Evolve: Speculative Decoding Meets Online Learning. CoRR Yu-Yang Qian, Hao-Cong Wu, Yichao Fu, Hao Zhang, Peng Zhao
2026	J	`jnl`	d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation. CoRR Yu-Yang Qian, Junda Su, Lanxiang Hu, Peiyuan Zhang, Zhijie Deng, Peng Zhao, Hao Zhang
2025	J	`jnl`	Benchmarking Scientific Understanding and Reasoning for Video Generation using VideoScience-Bench. CoRR Lanxiang Hu, Abhilash Shankarampeta, Yixin Huang, Zilin Dai, Haoyang Yu, Yujie Zhao, Haoqiang Kang, Daniel Zhao, Tajana Rosing, Hao Zhang
2025	J	`jnl`	Efficient Long-context Language Model Training by Core Attention Disaggregation. CoRR Yonghao Zhuang, Junda Chen, Bo Pang, Yi Gu, Yibo Zhu, Yimin Jiang, Ion Stoica, Eric Xing, Hao Zhang
2025	J	`jnl`	Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile. CoRR Hangliang Ding, Dacheng Li, Runlong Su, Peiyuan Zhang, Zhijie Deng, Ion Stoica, Hao Zhang
2025	A*	`conf`	Fast Video Generation with Sliding Tile Attention. ICML Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhengzhong Liu, Hao Zhang
2025	J	`jnl`	Fast Video Generation with Sliding Tile Attention. CoRR Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhenghong Liu, Hao Zhang
2025	J	`jnl`	Fast and Accurate Causal Parallel Decoding using Jacobi Forcing. CoRR Lanxiang Hu, Siqi Kou, Yichao Fu, Samyam Rajbhandari, Tajana Rosing, Yuxiong He, Zhijie Deng, Hao Zhang
2025	A*	`conf`	GameArena: Evaluating LLM Reasoning through Live Computer Games. ICLR Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang
2025	J	`jnl`	General Modular Harness for LLM Agents in Multi-Turn Gaming Environments. CoRR Yuxuan Zhang, Haoyang Yu, Lanxiang Hu, Haojian Jin, Hao Zhang
2025	J	`jnl`	ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration. CoRR Minghang Deng, Ashwin Ramachandran, Canwen Xu, Lanxiang Hu, Zhewei Yao, Anupam Datta, Hao Zhang
2025	A*	`conf`	Scaling Long Context Training Data by Long-Distance Referrals. ICLR Yonghao Zhuang, Lanxiang Hu, Longfei Yun, Souvik Kundu, Zhengzhong Liu, Eric P. Xing, Hao Zhang
2025	J	`jnl`	Stronger Together: On-Policy Reinforcement Learning for Collaborative LLMs. CoRR Yujie Zhao, Lanxiang Hu, Yang Wang, Minmin Hou, Hao Zhang, Ke Ding, Jishen Zhao
2025	J	`jnl`	Towards Interpretable and Inference-Optimal COT Reasoning with Sparse Autoencoder-Guided Generation. CoRR Daniel Zhao, Abhilash Shankarampeta, Lanxiang Hu, Tajana Rosing, Hao Zhang
2025	—	`conf`	TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs. ACL (1) Lanxiang Hu, Tajana Rosing, Hao Zhang
2025	J	`jnl`	VSA: Faster Video Diffusion with Trainable Sparse Attention. CoRR Peiyuan Zhang, Haofeng Huang, Yongqi Chen, Will Lin, Zhengzhong Liu, Ion Stoica, Eric Xing, Hao Zhang
2025	J	`jnl`	lmgame-Bench: How Good are LLMs at Playing Games? CoRR Lanxiang Hu, Mingjia Huo, Yuxuan Zhang, Haoyang Yu, Eric P. Xing, Ion Stoica, Tajana Rosing, Haojian Jin, Hao Zhang
2024	—	`conf`	AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. EMNLP (Findings) Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng
2024	A*	`conf`	Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. ICML Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang
2024	J	`jnl`	Break the Sequential Dependency of LLM Inference Using Lookahead Decoding. CoRR Yichao Fu, Peter Bailis, Ion Stoica, Hao Zhang
2024	A*	`conf`	CLLMs: Consistency Large Language Models. ICML Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
2024	J	`jnl`	CLLMs: Consistency Large Language Models. CoRR Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang
2024	A*	`conf`	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. ICML Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. CoRR Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Hao Zhang, Banghua Zhu, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica
2024	A*	`conf`	DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. OSDI Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
2024	J	`jnl`	DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving. CoRR Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu, Yibo Zhu, Xuanzhe Liu, Xin Jin, Hao Zhang
2024	A*	`conf`	Efficient LLM Scheduling by Learning to Rank. NeurIPS Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang
2024	J	`jnl`	Efficient LLM Scheduling by Learning to Rank. CoRR Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang
2024	J	`jnl`	Efficiently Serving LLM Reasoning Programs with Certaindex. CoRR Yichao Fu, Junda Chen, Siqi Zhu, Zheyu Fu, Zhongdongming Dai, Aurick Qiao, Hao Zhang
2024	J	`jnl`	GameArena: Evaluating LLM Reasoning through Live Computer Games. CoRR Lanxiang Hu, Qiyu Li, Anze Xie, Nan Jiang, Ion Stoica, Haojian Jin, Hao Zhang
2024	A*	`conf`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. ICLR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2024	J	`jnl`	MPC-Minimized Secure LLM Inference. CoRR Deevashwer Rathee, Dacheng Li, Ion Stoica, Hao Zhang, Raluca A. Popa
2024	A*	`conf`	Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. NeurIPS Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
2024	J	`jnl`	Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. CoRR Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
2024	J	`jnl`	MuxServe: Flexible Multiplexing for Efficient Multiple LLM Serving. CoRR Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang
2024	A*	`conf`	MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving. ICML Jiangfei Duan, Runyu Lu, Haojie Duanmu, Xiuhong Li, Xingcheng Zhang, Dahua Lin, Ion Stoica, Hao Zhang
2024	A*	`conf`	Online Speculative Decoding. ICML Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang
2024	J	`jnl`	Optimizing Speculative Decoding for Serving Large Language Models Using Goodput. CoRR Xiaoxuan Liu, Cade Daniel, Langxiang Hu, Woosuk Kwon, Zhuohan Li, Xiangxi Mo, Alvin Cheung, Zhijie Deng, Ion Stoica, Hao Zhang
2024	J	`jnl`	Specifications: The missing link to making the development of LLM systems an engineering discipline. CoRR Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Quincy Davis
2024	J	`jnl`	Toward Inference-optimal Mixture-of-Expert Large Language Models. CoRR Longfei Yun, Yonghao Zhuang, Yao Fu, Eric P. Xing, Hao Zhang
2024	J	`jnl`	TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs. CoRR Lanxiang Hu, Tajana Rosing, Hao Zhang
2023	A*	`conf`	AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	A*	`conf`	Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
2023	J	`jnl`	Efficient Memory Management for Large Language Model Serving with PagedAttention. CoRR Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph E. Gonzalez, Hao Zhang, Ion Stoica
2023	A*	`conf`	Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. NeurIPS Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	Judging LLM-as-a-judge with MT-Bench and Chatbot Arena. CoRR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
2023	J	`jnl`	LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. CoRR Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2023	J	`jnl`	LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers. CoRR Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang
2023	A*	`conf`	MPCFORMER: Fast, Performant and Provate Transformer Inference with MPC. ICLR Dacheng Li, Hongyi Wang, Rulin Shao, Han Guo, Eric P. Xing, Hao Zhang
2023	—	`conf`	On Optimizing the Communication of Model Parallelism. MLSys Yonghao Zhuang, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph Gonzalez, Ion Stoica, Hao Zhang, Hexu Zhao
2023	J	`jnl`	Online Speculative Decoding. CoRR Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, Ion Stoica, Zhijie Deng, Alvin Cheung, Hao Zhang
2022	A*	`conf`	AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness. NeurIPS Dacheng Li, Hongyi Wang, Eric P. Xing, Hao Zhang
2022	J	`jnl`	AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness. CoRR Dacheng Li, Hongyi Wang, Eric P. Xing, Hao Zhang
2022	A*	`conf`	Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica
2022	J	`jnl`	Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica
2022	J	`jnl`	DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Trans. Neural Networks Learn. Syst. Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing
2022	J	`jnl`	MPCFormer: fast, performant and private Transformer inference with MPC. CoRR Dacheng Li, Rulin Shao, Hongyi Wang, Han Guo, Eric P. Xing, Hao Zhang
2022	J	`jnl`	Neural Eigenfunctions Are Structured Representation Learners. CoRR Zhijie Deng, Jiaxin Shi, Hao Zhang, Peng Cui, Cewu Lu, Jun Zhu
2022	J	`jnl`	On Optimizing the Communication of Model Parallelism. CoRR Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2021	A*	`conf`	Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. AAAI Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang
2021	—	`—`	Machine Learning Parallelism Could Be Adaptive, Composable and Automated. Hao Zhang
2021	A*	`conf`	Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. OSDI Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
2021	A*	`conf`	Simple and Automatic Distributed Machine Learning on Ray. KDD Hao Zhang, Zhuohan Li, Lianmin Zheng, Ion Stoica
2021	A*	`conf`	TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. ICML Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica
2021	J	`jnl`	TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models. CoRR Zhuohan Li, Siyuan Zhuang, Shiyuan Guo, Danyang Zhuo, Hao Zhang, Dawn Song, Ion Stoica
2020	J	`jnl`	Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. CoRR Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang
2020	A*	`conf`	AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing
2020	J	`jnl`	BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning. CoRR Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu
2020	J	`jnl`	Developing a Recommendation Benchmark for MLPerf Training and Inference. CoRR Carole-Jean Wu, Robin Burke, Ed H. Chi, Joseph A. Konstan, Julian J. McAuley, Yves Raimond, Hao Zhang
2020	J	`jnl`	Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. CoRR Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
2019	—	`conf`	AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
2019	—	`conf`	Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
2018	J	`jnl`	AutoLoss: Learning Discrete Schedules for Alternate Optimization. CoRR Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
2018	—	`conf`	Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX ATC Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing
2018	—	`conf`	Generative Semantic Manipulation with Mask-Contrasting GAN. ECCV (13) Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing
2018	—	`conf`	SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing
2018	A*	`conf`	Symbolic Graph Reasoning Meets Convolutions. NeurIPS Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing
2018	J	`jnl`	Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
2017	J	`jnl`	Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. CoRR Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing
2017	J	`jnl`	Generative Semantic Manipulation with Contrasting GAN. CoRR Xiaodan Liang, Hao Zhang, Eric P. Xing
2017	—	`conf`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	A*	`conf`	Recurrent Topic-Transition GAN for Visual Paragraph Generation. ICCV Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
2017	J	`jnl`	Recurrent Topic-Transition GAN for Visual Paragraph Generation. CoRR Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
2017	J	`jnl`	SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing
2017	—	`conf`	Structured Generative Adversarial Networks. NIPS Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
2017	J	`jnl`	Structured Generative Adversarial Networks. CoRR Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing
2017	J	`jnl`	ZM-Net: Real-time Zero-shot Image Manipulation Network. CoRR Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing
2016	J	`jnl`	Automatic Photo Adjustment Using Deep Neural Networks. ACM Trans. Graph. Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
2016	J	`jnl`	Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation. CoRR Zhicheng Yan, Hao Zhang, Yangqing Jia, Thomas M. Breuel, Yizhou Yu
2016	A	`conf`	GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server. EuroSys Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing
2016	—	`conf`	Learning Concept Taxonomies from Multi-modal Data. ACL (1) Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2016	J	`jnl`	Learning Concept Taxonomies from Multi-modal Data. CoRR Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing
2015	A*	`conf`	Dynamic Topic Modeling for Monitoring Market Competition from Online Text and Image Data. KDD Hao Zhang, Gunhee Kim, Eric P. Xing
2015	A*	`conf`	HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition. ICCV Zhicheng Yan, Hao Zhang, Robinson Piramuthu, Vignesh Jagadeesh, Dennis DeCoste, Wei Di, Yizhou Yu
2015	J	`jnl`	Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
2015	Misc	`conf`	Regularizing DNN acoustic models with Gaussian stochastic neurons. ICASSP Hao Zhang, Yajie Miao, Florian Metze
2015	Misc	`conf`	Semi-supervised training in low-resource ASR and KWS. ICASSP Florian Metze, Ankur Gandhe, Yajie Miao, Zaid Sheikh, Yun Wang, Di Xu, Hao Zhang, Jungsuk Kim, Ian R. Lane, Wonkyum Lee, Sebastian Stüker, Markus Müller
2015	J	`jnl`	Speaker Adaptive Training of Deep Neural Network Acoustic Models Using I-Vectors. IEEE ACM Trans. Audio Speech Lang. Process. Yajie Miao, Hao Zhang, Florian Metze
2014	J	`jnl`	Automatic Photo Adjustment Using Deep Learning. CoRR Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
2014	A	`conf`	Distributed learning of multilingual DNN feature extractors using GPUs. INTERSPEECH Yajie Miao, Hao Zhang, Florian Metze
2014	—	`conf`	Improvements to speaker adaptive training of deep neural networks. SLT Yajie Miao, Lu Jiang, Hao Zhang, Florian Metze
2014	A	`conf`	Towards speaker adaptive training of deep neural network acoustic models. INTERSPEECH Yajie Miao, Hao Zhang, Florian Metze