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ORCIDHuan Wang 0014
Person information
- affiliation: Northeastern University, Boston, MA, USA
- affiliation (former): Zhejiang University, College of Information and Electronic Engineering, Hangzhou, China
Other persons with the same name
- Huan Wang — disambiguation page
- Huan Wang 0001 — Yale University, Computer Science Department, New Haven, CT, USA (and 1 more)
- Huan Wang 0002 — Xi'an Jiaotong University, School of Electronics and Information Engineering, Smiles Laboratory, China
- Huan Wang 0003 — TU München, Institute of Medical Engineering, GarchingGermany (and 2 more)
- Huan Wang 0004 — Nanyang Technological University, School of Computer Engineering, Singapore
- Huan Wang 0005
![[0000-0002-3162-2350]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3162-2350")
— Huazhong Agricultural University, College of Informatics, Wuhan, China (and 3 more) - Huan Wang 0006 — Changchun University of Science and Technology, College of Computer Science and Technology, China
- Huan Wang 0007 — Sun Yat-sen University, School of Geography and Planning, Guangzhou, China
- Huan Wang 0008 — University of California at Irvine, Department of Electrical Engineering and Computer Science, CA, USA
- Huan Wang 0009 — University of Massachusetts, Electrical and Computer Engineering Department, Lowell, MA, USA
- Huan Wang 0010 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Huan Wang 0011 — University of Science and Technology Beijing, School of Mechanical Engineering, China
- Huan Wang 0012 — Hohai University, College of IoT Engineerin, Changzhou, China (and 1 more)
- Huan Wang 0013 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Huan Wang 0015 — Tsinghua University, Department of Industrial Engineerin, Beijing, China (and 1 more)
- Huan Wang 0016 — Salesforce Research, AI Research, Palo Alto, CA, USA
- Huan Wang 0017 — University of Victoria, Department of Computer Science, Canada
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2020 – today
- 2024
[c56]Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang:
Causal Layering via Conditional Entropy. CLeaR 2024: 1176-1191- [c55]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR 2024: 9026-9036 - [c54]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - [c53]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. ICLR 2024 - [c52]Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai:
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. ICLR 2024 - [c51]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [c50]Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu:
Don't Judge by the Look: Towards Motion Coherent Video Representation. ICLR 2024 - [c49]Miao Cao, Lishun Wang, Huan Wang, Guoqing Wang, Xin Yuan:
Towards Real-time Video Compressive Sensing on Mobile Devices. ACM Multimedia 2024: 11080-11088 - [c48]Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. SDM 2024: 743-751 - [i75]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Editing Arbitrary Propositions in LLMs without Subject Labels. CoRR abs/2401.07526 (2024) - [i74]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Causal Layering via Conditional Entropy. CoRR abs/2401.10495 (2024) - [i73]Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese:
Text2Data: Low-Resource Data Generation with Textual Control. CoRR abs/2402.10941 (2024) - [i72]Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong:
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR abs/2402.15506 (2024) - [i71]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese:
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR abs/2402.15538 (2024) - [i70]Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu:
Don't Judge by the Look: Towards Motion Coherent Video Representation. CoRR abs/2403.09506 (2024) - [i69]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i68]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR abs/2406.18518 (2024) - [i67]Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu:
Accessing Vision Foundation Models at ImageNet-level Costs. CoRR abs/2407.10366 (2024) - [i66]Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong:
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR abs/2408.07060 (2024) - [i65]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i64]Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i63]Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR abs/2409.03215 (2024) - [i62]Huan Wang, Feitong Tan, Ziqian Bai, Yinda Zhang, Shichen Liu, Qiangeng Xu, Menglei Chai, Anish Prabhu, Rohit Pandey, Sean Fanello, Zeng Huang, Yun Fu:
LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field. CoRR abs/2409.18057 (2024) - 2023
- [j5]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [j4]Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu:
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10974-10989 (2023) - [c47]Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren:
Real-Time Neural Light Field on Mobile Devices. CVPR 2023: 8328-8337 - [c46]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CVPR 2023: 10504-10513 - [c45]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. ICCV 2023: 12556-12565 - [c44]Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu:
Momentum is All You Need for Data-Driven Adaptive Optimization. ICDM 2023: 1385-1390 - [c43]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. ICLR 2023 - [c42]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR 2023 - [c41]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR 2023 - [c40]Huan Wang, Yun Fu:
Trainability Preserving Neural Pruning. ICLR 2023 - [c39]Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai:
Improved Online Conformal Prediction via Strongly Adaptive Online Learning. ICML 2023: 2337-2363 - [c38]Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai:
Lower Bounds for Learning in Revealing POMDPs. ICML 2023: 5104-5161 - [c37]Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei:
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. NeurIPS 2023 - [c36]Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. NeurIPS 2023 - [c35]Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu:
Latent Graph Inference with Limited Supervision. NeurIPS 2023 - [c34]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS 2023 - [c33]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [i61]Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles:
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR abs/2301.10859 (2023) - [i60]Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai:
Lower Bounds for Learning in Revealing POMDPs. CoRR abs/2302.01333 (2023) - [i59]Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai:
Improved Online Conformal Prediction via Strongly Adaptive Online Learning. CoRR abs/2302.07869 (2023) - [i58]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR abs/2302.10342 (2023) - [i57]Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu:
Image as Set of Points. CoRR abs/2303.01494 (2023) - [i56]Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit:
On the Unlikelihood of D-Separation. CoRR abs/2303.05628 (2023) - [i55]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i54]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR abs/2303.09650 (2023) - [i53]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CoRR abs/2303.14817 (2023) - [i52]Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang:
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR abs/2304.05492 (2023) - [i51]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i50]Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. CoRR abs/2306.00980 (2023) - [i49]Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei:
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. CoRR abs/2306.04637 (2023) - [i48]Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai:
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. CoRR abs/2307.02884 (2023) - [i47]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i46]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i45]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i44]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i43]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i42]Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, Yun Fu:
Latent Graph Inference with Limited Supervision. CoRR abs/2310.04314 (2023) - [i41]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. CoRR abs/2310.10616 (2023) - 2022
- [j3]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-Supervised Domain Adaptive Structure Learning. IEEE Trans. Image Process. 31: 7179-7190 (2022) - [c32]Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov:
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. ECCV (31) 2022: 612-629 - [c31]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. ICLR 2022 - [c30]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. ICLR 2022 - [c29]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR 2022 - [c28]Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu:
Recent Advances on Neural Network Pruning at Initialization. IJCAI 2022: 5638-5645 - [c27]Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu:
Parameter-Efficient Masking Networks. NeurIPS 2022 - [c26]Huan Wang, Suhas Lohit, Michael N. Jones, Yun Fu:
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective. NeurIPS 2022 - [c25]Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu:
Look More but Care Less in Video Recognition. NeurIPS 2022 - [c24]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS 2022 - [c23]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [i40]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. CoRR abs/2202.11091 (2022) - [i39]Yue Bai, Huan Wang, Zhiqiang Tao, Kunpeng Li, Yun Fu:
Dual Lottery Ticket Hypothesis. CoRR abs/2203.04248 (2022) - [i38]Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong:
Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR abs/2203.12187 (2022) - [i37]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i36]Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov:
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis. CoRR abs/2203.17261 (2022) - [i35]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR abs/2206.02640 (2022) - [i34]Huan Wang, Yun Fu:
Trainability Preserving Neural Structured Pruning. CoRR abs/2207.12534 (2022) - [i33]Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu:
Parameter-Efficient Masking Networks. CoRR abs/2210.06699 (2022) - [i32]Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu:
Look More but Care Less in Video Recognition. CoRR abs/2211.09992 (2022) - [i31]Junli Cao, Huan Wang, Pavlo Chemerys, Vladislav Shakhrai, Ju Hu, Yun Fu, Denys Makoviichuk, Sergey Tulyakov, Jian Ren:
Real-Time Neural Light Field on Mobile Devices. CoRR abs/2212.08057 (2022) - 2021
- [c22]Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong:
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. ACL/IJCNLP (Findings) 2021: 4908-4912 - [c21]Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu:
Context Reasoning Attention Network for Image Super-Resolution. ICCV 2021: 4258-4267 - [c20]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. ICLR 2021 - [c19]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? ICML 2021: 543-553 - [c18]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. ICML 2021: 566-576 - [c17]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML 2021: 4772-4784 - [c16]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS 2021: 2695-2706 - [c15]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [c14]Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu:
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS 2021: 14110-14121 - [c13]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Understanding the Under-Coverage Bias in Uncertainty Estimation. NeurIPS 2021: 18307-18319 - [c12]Yu Bai, Chi Jin, Huan Wang, Caiming Xiong:
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. NeurIPS 2021: 25799-25811 - [c11]Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai:
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. NeurIPS 2021: 27395-27407 - [c10]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Contradictory Structure Learning for Semi-supervised Domain Adaptation. SDM 2021: 576-584 - [i30]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. CoRR abs/2102.07856 (2021) - [i29]Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon:
Localized Calibration: Metrics and Recalibration. CoRR abs/2102.10809 (2021) - [i28]Yu Bai, Chi Jin, Huan Wang, Caiming Xiong:
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. CoRR abs/2102.11494 (2021) - [i27]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Emerging Paradigms of Neural Network Pruning. CoRR abs/2103.06460 (2021) - [i26]Huan Wang, Can Qin, Yue Bai, Yun Fu:
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning. CoRR abs/2105.05916 (2021) - [i25]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR abs/2106.03357 (2021) - [i24]Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai:
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. CoRR abs/2106.04895 (2021) - [i23]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Understanding the Under-Coverage Bias in Uncertainty Estimation. CoRR abs/2106.05515 (2021) - [i22]Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu:
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR abs/2106.11514 (2021) - [i21]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i20]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Semi-supervised Domain Adaptive Structure Learning. CoRR abs/2112.06161 (2021) - 2020
- [j2]Huan Wang, Xinyi Hu, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu:
Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization. IEEE J. Sel. Top. Signal Process. 14(4): 775-788 (2020) - [c9]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Assessing Local Generalization Capability in Deep Models. AISTATS 2020: 2077-2087 - [c8]Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. CVPR 2020: 1857-1866 - [c7]Yushu Feng, Huan Wang, Haoji Roland Hu, Lu Yu, Wei Wang, Shiyan Wang:
Triplet Distillation For Deep Face Recognition. ICIP 2020: 808-812 - [c6]Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher:
Towards Understanding Hierarchical Learning: Benefits of Neural Representations. NeurIPS 2020 - [i19]Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu:
Opposite Structure Learning for Semi-supervised Domain Adaptation. CoRR abs/2002.02545 (2020) - [i18]Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher:
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. CoRR abs/2002.04010 (2020) - [i17]Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio:
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. CoRR abs/2002.09046 (2020) - [i16]Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. CoRR abs/2003.08436 (2020) - [i15]Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher:
Towards Understanding Hierarchical Learning: Benefits of Neural Representations. CoRR abs/2006.13436 (2020) - [i14]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? CoRR abs/2010.05843 (2020) - [i13]Huan Wang, Suhas Lohit, Michael Jones, Yun Fu:
Knowledge Distillation Thrives on Data Augmentation. CoRR abs/2012.02909 (2020) - [i12]Huan Wang, Suhas Lohit, Michael Jones, Yun Fu:
Multi-head Knowledge Distillation for Model Compression. CoRR abs/2012.02911 (2020) - [i11]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. CoRR abs/2012.09243 (2020) - [i10]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR abs/2012.14193 (2020)
2010 – 2019
- 2019
- [c5]Yuxin Zhang, Huan Wang, Yang Luo, Lu Yu, Haoji Hu, Hangguan Shan, Tony Q. S. Quek:
Three-Dimensional Convolutional Neural Network Pruning with Regularization-Based Method. ICIP 2019: 4270-4274 - [c4]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. ICML 2019: 6648-6658 - [c3]Huan Wang, Qiming Zhang, Yuehai Wang, Lu Yu, Haoji Hu:
Structured Pruning for Efficient ConvNets via Incremental Regularization. IJCNN 2019: 1-8 - [i9]Yushu Feng, Huan Wang, Daniel T. Yi, Roland Hu:
Triplet Distillation for Deep Face Recognition. CoRR abs/1905.04457 (2019) - [i8]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. CoRR abs/1905.12654 (2019) - [i7]Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR abs/1910.10245 (2019) - [i6]Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong:
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR abs/1911.03588 (2019) - 2018
- [c2]Huan Wang, Qiming Zhang, Yuehai Wang, Haoji Hu:
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration. BMVC 2018: 149 - [c1]Feifei Tong, Zhaoyang Zhang, Huan Wang, Yuehai Wang:
Concise Convolutional Neural Network for Crowd Counting. ICAIT 2018: 174-178 - [i5]Huan Wang, Qiming Zhang, Yuehai Wang, Roland Hu:
Structured Deep Neural Network Pruning by Varying Regularization Parameters. CoRR abs/1804.09461 (2018) - [i4]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Identifying Generalization Properties in Neural Networks. CoRR abs/1809.07402 (2018) - [i3]Yuxin Zhang, Huan Wang, Yang Luo, Roland Hu:
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method. CoRR abs/1811.07555 (2018) - [i2]Huan Wang, Qiming Zhang, Yuehai Wang, Haoji Hu:
Structured Pruning for Efficient ConvNets via Incremental Regularization. CoRR abs/1811.08390 (2018) - 2017
- [i1]Huan Wang, Qiming Zhang, Yuehai Wang, Roland Hu:
Structured Probabilistic Pruning for Deep Convolutional Neural Network Acceleration. CoRR abs/1709.06994 (2017) - 2011
- [j1]Xiuhua Guo, Xiangye Liu, Huan Wang, Zhigang Liang, Wei Wu, Qian He, Kuncheng Li, Wei Wang:
Enhanced CT Images by the Wavelet Transform Improving Diagnostic Accuracy of Chest Nodules. J. Digit. Imaging 24(1): 44-49 (2011)
Coauthor Index
[c56] [c55] [c54] [c53] [c52] [c51] [i75] [i74] [i73] [i72] [i71] [i69] [i68] [i66] [i65] [i64] [i63] [j5] [c42] [c41] [c39] [c38] [c37] [c34] [c33] [i61] [i60] [i59] [i58] [i56] [i55] [i51] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i41] [c31] [c24] [c23] [i40] [i38] [i37] [i35] [c22] [c19] [c18] [c17] [c15] [c13] [c12] [c11] [i30] [i29] [i28] [i25] [i24] [i23] [i21] [c9] [c6] [i18] [i17] [i15] [i14] [i10] [c4] [i8] [i7] [i6] [i4]
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