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2020 – today
- 2024
- [j14]Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang:
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [j13]Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang:
Improving Diffusion Models for Scene Text Editing with Dual Encoders. Trans. Mach. Learn. Res. 2024 (2024) - [i110]Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang:
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR abs/2401.15555 (2024) - [i109]Jiabao Ji, Bairu Hou, Alexander Robey, George J. Pappas, Hamed Hassani, Yang Zhang, Eric Wong, Shiyu Chang:
Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing. CoRR abs/2402.16192 (2024) - [i108]Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang:
A Survey on Data Selection for Language Models. CoRR abs/2402.16827 (2024) - [i107]Jiabao Ji, Bairu Hou, Zhen Zhang, Guanhua Zhang, Wenqi Fan, Qing Li, Yang Zhang, Gaowen Liu, Sijia Liu, Shiyu Chang:
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing. CoRR abs/2404.12274 (2024) - [i106]Bairu Hou, Yang Zhang, Jacob Andreas, Shiyu Chang:
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation. CoRR abs/2406.06950 (2024) - [i105]Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang:
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. CoRR abs/2406.08607 (2024) - [i104]Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang:
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR abs/2407.01863 (2024) - [i103]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. CoRR abs/2407.16997 (2024) - 2023
- [j12]Janak Sharda
, Wantong Li
, Qiucheng Wu, Shiyu Chang, Shimeng Yu
:
Temporal Frame Filtering for Autonomous Driving Using 3D-Stacked Global Shutter CIS With IWO Buffer Memory and Near-Pixel Compute. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 2074-2084 (2023) - [j11]Qiucheng Wu
, Yifan Jiang
, Junru Wu
, Victor Kulikov, Vidit Goel
, Nikita Orlov, Humphrey Shi
, Zhangyang Wang
, Shiyu Chang:
Broad Spectrum Image Deblurring via an Adaptive Super-Network. IEEE Trans. Image Process. 32: 5270-5282 (2023) - [c114]Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao:
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. ASP-DAC 2023: 745-750 - [c113]Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass:
Audio-Visual Neural Syntax Acquisition. ASRU 2023: 1-8 - [c112]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR 2023: 1900-1910 - [c111]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV 2023: 90-101 - [c110]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. ICCV 2023: 7732-7742 - [c109]Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. ICLR 2023 - [c108]Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang:
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. ICML 2023: 13309-13324 - [c107]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. ICML 2023: 41164-41193 - [c106]Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu:
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. NeurIPS 2023 - [c105]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
ClawSAT: Towards Both Robust and Accurate Code Models. SANER 2023: 212-223 - [i102]Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang:
Users are the North Star for AI Transparency. CoRR abs/2303.05500 (2023) - [i101]Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang:
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models. CoRR abs/2304.03322 (2023) - [i100]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. CoRR abs/2304.03869 (2023) - [i99]Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian L. Price, Shiyu Chang:
Improving Diffusion Models for Scene Text Editing with Dual Encoders. CoRR abs/2304.05568 (2023) - [i98]Zhen Zhang, Guanhua Zhang, Bairu Hou, Wenqi Fan, Qing Li, Sijia Liu, Yang Zhang, Shiyu Chang:
Certified Robustness for Large Language Models with Self-Denoising. CoRR abs/2307.07171 (2023) - [i97]Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR abs/2308.10110 (2023) - [i96]Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass:
Audio-Visual Neural Syntax Acquisition. CoRR abs/2310.07654 (2023) - [i95]Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li:
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. CoRR abs/2310.08677 (2023) - [i94]Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu:
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. CoRR abs/2310.08782 (2023) - [i93]Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang:
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. CoRR abs/2311.08718 (2023) - [i92]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Correcting Diffusion Generation through Resampling. CoRR abs/2312.06038 (2023) - 2022
- [j10]Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Domain Generalization for Language-Independent Automatic Speech Recognition. Frontiers Artif. Intell. 5: 806274 (2022) - [j9]Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. Trans. Mach. Learn. Res. 2022 (2022) - [j8]Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Can You Win Everything with A Lottery Ticket? Trans. Mach. Learn. Res. 2022 (2022) - [c104]Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang:
An Adversarial Framework for Generating Unseen Images by Activation Maximization. AAAI 2022: 3371-3379 - [c103]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun
, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. ACL (Findings) 2022: 169-182 - [c102]Wantong Li
, Qiucheng Wu, Janak Sharda
, Shiyu Chang, Shimeng Yu
:
Temporal Frame Filtering with Near-Pixel Compute for Autonomous Driving. AICAS 2022: 29-32 - [c101]Minqian Liu, Shiyu Chang, Lifu Huang:
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. COLING 2022: 2157-2165 - [c100]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR 2022: 588-599 - [c99]Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass:
On the Interplay between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. ICASSP 2022: 8447-8451 - [c98]Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Optimizer Amalgamation. ICLR 2022 - [c97]Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Adversarial Support Alignment. ICLR 2022 - [c96]Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu:
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. ICLR 2022 - [c95]Yujia Bao, Shiyu Chang, Regina Barzilay:
Learning Stable Classifiers by Transferring Unstable Features. ICML 2022: 1483-1507 - [c94]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. ICML 2022: 3747-3759 - [c93]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. ICML 2022: 3760-3772 - [c92]Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang:
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers. ICML 2022: 18003-18017 - [c91]Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu:
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. ICML 2022: 26693-26712 - [c90]Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. INTERSPEECH 2022: 461-465 - [c89]Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
WavPrompt: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. INTERSPEECH 2022: 2738-2742 - [c88]Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Scott Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. NAACL-HLT 2022: 4207-4218 - [c87]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. NeurIPS 2022 - [i91]Tianshu Huang, Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Optimizer Amalgamation. CoRR abs/2203.06474 (2022) - [i90]Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Adversarial Support Alignment. CoRR abs/2203.08908 (2022) - [i89]Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu:
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective. CoRR abs/2203.14195 (2022) - [i88]Junrui Ni, Liming Wang, Heting Gao, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition. CoRR abs/2203.15796 (2022) - [i87]Heting Gao, Junrui Ni, Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson:
WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models. CoRR abs/2203.15863 (2022) - [i86]Minqian Liu, Shiyu Chang, Lifu Huang:
Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection. CoRR abs/2204.07275 (2022) - [i85]Kaizhi Qian, Yang Zhang, Heting Gao, Junrui Ni, Cheng-I Lai, David D. Cox, Mark Hasegawa-Johnson, Shiyu Chang:
Improving Self-Supervised Speech Representations by Disentangling Speakers. CoRR abs/2204.09224 (2022) - [i84]Yung-Sung Chuang
, Rumen Dangovski, Hongyin Luo, Yang Zhang, Shiyu Chang, Marin Soljacic, Shang-Wen Li, Wen-tau Yih, Yoon Kim, James R. Glass:
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings. CoRR abs/2204.10298 (2022) - [i83]Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CoRR abs/2204.12696 (2022) - [i82]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CoRR abs/2205.11819 (2022) - [i81]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Yang Zhang, Shiyu Chang, Zhangyang Wang:
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training. CoRR abs/2206.04762 (2022) - [i80]Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang:
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness. CoRR abs/2206.07839 (2022) - [i79]Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang:
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning. CoRR abs/2206.07842 (2022) - [i78]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. CoRR abs/2209.10222 (2022) - [i77]Yimeng Zhang, Akshay Karkal Kamath, Qiucheng Wu, Zhiwen Fan, Wuyang Chen, Zhangyang Wang, Shiyu Chang, Sijia Liu, Cong Hao:
Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices. CoRR abs/2210.08578 (2022) - [i76]Jinghan Jia, Shashank Srikant, Tamara Mitrovska, Chuang Gan, Shiyu Chang, Sijia Liu, Una-May O'Reilly:
CLAWSAT: Towards Both Robust and Accurate Code Models. CoRR abs/2211.11711 (2022) - [i75]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR abs/2212.08698 (2022) - [i74]Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang:
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. CoRR abs/2212.09254 (2022) - [i73]Bairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang:
PromptBoosting: Black-Box Text Classification with Ten Forward Passes. CoRR abs/2212.09257 (2022) - 2021
- [c86]Minhao Cheng
, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. AAAI 2021: 7107-7115 - [c85]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. Canadian AI 2021 - [c84]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. CVPR 2021: 16306-16316 - [c83]Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su:
Complementary Evidence Identification in Open-Domain Question Answering. EACL 2021: 2720-2726 - [c82]Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao:
Continuous Cnn For Nonuniform Time Series. ICASSP 2021: 3550-3554 - [c81]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Robust Overfitting may be mitigated by properly learned smoothening. ICLR 2021 - [c80]Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang:
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning. ICLR 2021 - [c79]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. ICLR 2021 - [c78]Yujia Bao, Shiyu Chang, Regina Barzilay:
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. ICML 2021: 640-650 - [c77]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Prosody Style Transfer Without Text Transcriptions. ICML 2021: 8650-8660 - [c76]Heting Gao, Junrui Ni, Yang Zhang, Kaizhi Qian, Shiyu Chang, Mark Hasegawa-Johnson:
Zero-Shot Cross-Lingual Phonetic Recognition with External Language Embedding. Interspeech 2021: 1304-1308 - [c75]Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Understanding Interlocking Dynamics of Cooperative Rationalization. NeurIPS 2021: 12822-12835 - [c74]Yifan Jiang, Shiyu Chang, Zhangyang Wang:
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up. NeurIPS 2021: 14745-14758 - [c73]Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass:
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. NeurIPS 2021: 21256-21272 - [i72]Yifan Jiang, Shiyu Chang, Zhangyang Wang:
TransGAN: Two Transformers Can Make One Strong GAN. CoRR abs/2102.07074 (2021) - [i71]Xiangyang Mou, Mo Yu, Shiyu Chang, Yufei Feng, Li Zhang, Hui Su:
Complementary Evidence Identification in Open-Domain Question Answering. CoRR abs/2103.11643 (2021) - [i70]Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly:
Generating Adversarial Computer Programs using Optimized Obfuscations. CoRR abs/2103.11882 (2021) - [i69]Yujia Bao, Shiyu Chang, Regina Barzilay:
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers. CoRR abs/2105.12628 (2021) - [i68]Cheng-I Jeff Lai, Yang Zhang, Alexander H. Liu, Shiyu Chang, Yi-Lun Liao, Yung-Sung Chuang, Kaizhi Qian, Sameer Khurana, David D. Cox, James R. Glass:
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition. CoRR abs/2106.05933 (2021) - [i67]Yujia Bao, Shiyu Chang, Regina Barzilay:
Learning Stable Classifiers by Transferring Unstable Features. CoRR abs/2106.07847 (2021) - [i66]Kaizhi Qian, Yang Zhang, Shiyu Chang, Jinjun Xiong, Chuang Gan, David D. Cox, Mark Hasegawa-Johnson:
Global Rhythm Style Transfer Without Text Transcriptions. CoRR abs/2106.08519 (2021) - [i65]Cheng-I Jeff Lai, Erica Cooper, Yang Zhang, Shiyu Chang, Kaizhi Qian, Yi-Lun Liao, Yung-Sung Chuang, Alexander H. Liu, Junichi Yamagishi, David D. Cox, James R. Glass:
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis. CoRR abs/2110.01147 (2021) - [i64]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR abs/2110.07476 (2021) - [i63]Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola:
Understanding Interlocking Dynamics of Cooperative Rationalization. CoRR abs/2110.13880 (2021) - [i62]Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu:
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. CoRR abs/2112.12376 (2021) - 2020
- [c72]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CVPR 2020: 696-705 - [c71]Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. EMNLP (1) 2020: 7755-7765 - [c70]Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay:
Few-shot Text Classification with Distributional Signatures. ICLR 2020 - [c69]Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel:
Proper Network Interpretability Helps Adversarial Robustness in Classification. ICML 2020: 1014-1023 - [c68]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. ICML 2020: 1448-1458 - [c67]Kaizhi Qian, Yang Zhang, Shiyu Chang, Mark Hasegawa-Johnson, David D. Cox:
Unsupervised Speech Decomposition via Triple Information Bottleneck. ICML 2020: 7836-7846 - [c66]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. NeurIPS 2020 - [c65]Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang:
Training Stronger Baselines for Learning to Optimize. NeurIPS 2020 - [i61]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
Invariant Rationalization. CoRR abs/2003.09772 (2020) - [i60]Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. CoRR abs/2003.12862 (2020) - [i59]Yufei Feng, Mo Yu, Wenhan Xiong, Xiaoxiao Guo, Junjie Huang, Shiyu Chang, Murray Campbell, Michael A. Greenspan, Xiaodan Zhu:
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games. CoRR abs/2004.02393 (2020) - [i58]Kaizhi Qian, Yang Zhang, Shiyu Chang, David D. Cox, Mark Hasegawa-Johnson:
Unsupervised Speech Decomposition via Triple Information Bottleneck. CoRR abs/2004.11284 (2020) - [i57]Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang:
Can 3D Adversarial Logos Cloak Humans? CoRR abs/2006.14655 (2020) - [i56]Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel:
Proper Network Interpretability Helps Adversarial Robustness in Classification. CoRR abs/2006.14748 (2020) - [i55]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin:
The Lottery Ticket Hypothesis for Pre-trained BERT Networks. CoRR abs/2007.12223 (2020) - [i54]Wang Zhou, Shiyu Chang, Norma E. Sosa, Hendrik F. Hamann, David D. Cox:
Lifelong Object Detection. CoRR abs/2009.01129 (2020) - [i53]Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang:
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. CoRR abs/2010.02386 (2020) - [i52]Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang:
Training Stronger Baselines for Learning to Optimize. CoRR abs/2010.09089 (2020) - [i51]Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang:
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models. CoRR abs/2012.06908 (2020) - [i50]Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. CoRR abs/2012.11769 (2020)
2010 – 2019
- 2019
- [c64]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. AAAI 2019: 3739-3746 - [c63]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar
:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL (1) 2019: 1371-1377 - [c62]Hong Wang, Xin Wang
, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) 2019: 2221-2227 - [c61]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) 2019: 4258-4264 - [c60]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c59]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) 2019: 5020-5031 - [c58]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP 2019: 48-52 - [c57]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CVPR 2019: 11428-11437 - [c56]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar
, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. EMNLP/IJCNLP (1) 2019: 3564-3570 - [c55]Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. EMNLP/IJCNLP (1) 2019: 4092-4101 - [c54]Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar
, Xiaoxiao Guo, Shiyu Chang, Mo Yu:
Context-Aware Conversation Thread Detection in Multi-Party Chat. EMNLP/IJCNLP (1) 2019: 6455-6460 - [c53]Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang:
AutoGAN: Neural Architecture Search for Generative Adversarial Networks. ICCV 2019: 3223-3233 - [c52]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss. ICML 2019: 5210-5219 - [c51]Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. KDD 2019: 335-343 - [c50]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) 2019: 773-784 - [c49]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) 2019: 796-806 - [c48]Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola:
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers. NeurIPS 2019: 4911-4922 - [c47]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. NeurIPS 2019: 10055-10065 - [i49]Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, Saloni Potdar:
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. CoRR abs/1902.01030 (2019) - [i48]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR abs/1903.02588 (2019) - [i47]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR abs/1903.02591 (2019) - [i46]Xiaoxiao Guo, Shiyu Chang, Mo Yu, Gerald Tesauro, Murray Campbell:
Hybrid Reinforcement Learning with Expert State Sequences. CoRR abs/1903.04110 (2019) - [i45]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson:
Zero-Shot Voice Style Transfer with Only Autoencoder Loss. CoRR abs/1905.05879 (2019) - [i44]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i43]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CoRR abs/1905.06517 (2019) - [i42]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR abs/1905.07098 (2019) - [i41]Qingquan Song, Shiyu Chang, Xia Hu:
Coupled Variational Recurrent Collaborative Filtering. CoRR abs/1906.04386 (2019) - [i40]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR abs/1906.04466 (2019) - [i39]Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi S. Jaakkola:
A Stratified Approach to Robustness for Randomly Smoothed Classifiers. CoRR abs/1906.04948 (2019) - [i38]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. CoRR abs/1907.06292 (2019) - [i37]Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang:
AutoGAN: Neural Architecture Search for Generative Adversarial Networks. CoRR abs/1908.03835 (2019) - [i36]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. CoRR abs/1908.04877 (2019) - [i35]Yujia Bao, Menghua Wu, Shiyu Chang, Regina Barzilay:
Few-shot Text Classification with Distributional Signatures. CoRR abs/1908.06039 (2019) - [i34]Ming Tan, Yang Yu, Haoyu Wang, Dakuo Wang, Saloni Potdar, Shiyu Chang, Mo Yu:
Out-of-Domain Detection for Low-Resource Text Classification Tasks. CoRR abs/1909.05357 (2019) - [i33]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR abs/1909.07597 (2019) - [i32]Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian:
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. CoRR abs/1910.00511 (2019) - [i31]Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola:
A Game Theoretic Approach to Class-wise Selective Rationalization. CoRR abs/1910.12853 (2019) - [i30]Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola:
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control. CoRR abs/1910.13294 (2019) - 2018
- [j7]Ding Liu
, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang
, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018) - [c46]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Ranker-Reader for Open-Domain Question Answering. AAAI 2018: 5981-5988 - [c45]Shuohang Wang, Mo Yu, Jing Jiang
, Shiyu Chang:
A Co-Matching Model for Multi-choice Reading Comprehension. ACL (2) 2018: 746-751 - [c44]Wei Han, Shiyu Chang, Ding Liu
, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CVPR 2018: 1654-1663 - [c43]Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai:
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. EMNLP 2018: 751-756 - [c42]Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. EMNLP 2018: 1903-1913 - [c41]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018: 1980-1990 - [c40]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang
, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. ICASSP 2018: 5389-5393 - [c39]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. ICLR (Poster) 2018 - [c38]Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao:
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. ICPP 2018: 26:1-26:10 - [c37]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI 2018: 4503-4509 - [c36]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar
, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. NAACL-HLT 2018: 1206-1215 - [c35]Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. NeurIPS 2018: 3731-3741 - [c34]Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu
, Xiang Zhang:
Co-Regularized Deep Multi-Network Embedding. WWW 2018: 469-478 - [i29]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Dinei A. F. Florêncio, Mark Hasegawa-Johnson:
Deep Learning Based Speech Beamforming. CoRR abs/1802.05383 (2018) - [i28]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CoRR abs/1805.02704 (2018) - [i27]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Yu Cheng, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Diverse Few-Shot Text Classification with Multiple Metrics. CoRR abs/1805.07513 (2018) - [i26]Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. CoRR abs/1805.10367 (2018) - [i25]Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang:
A Co-Matching Model for Multi-choice Reading Comprehension. CoRR abs/1806.04068 (2018) - [i24]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR abs/1806.06187 (2018) - [i23]Wei Tan, Shiyu Chang, Liana Fong, Cheng Li, Zijun Wang, Liangliang Cao:
Matrix Factorization on GPUs with Memory Optimization and Approximate Computing. CoRR abs/1808.03843 (2018) - [i22]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. CoRR abs/1808.09040 (2018) - [i21]Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. CoRR abs/1808.09367 (2018) - [i20]Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai:
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. CoRR abs/1809.06227 (2018) - [i19]Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Humphrey Shi:
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. CoRR abs/1811.09347 (2018) - 2017
- [j6]Jinhui Tang
, Shiyu Chang, Guo-Jun Qi
, Qi Tian, Yong Rui, Thomas S. Huang:
LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. IEEE Trans. Image Process. 26(1): 196-207 (2017) - [j5]Weining Lu
, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang:
Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Process. 26(9): 4321-4330 (2017) - [j4]Xinchao Wang
, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao
, Thomas S. Huang:
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. IEEE Trans. Image Process. 26(10): 4765-4776 (2017) - [c33]Yiran Zhao, Shuochao Yao, Shaohan Hu, Shiyu Chang, Raghu K. Ganti, Mudhakar Srivatsa, Shen Li, Tarek F. Abdelzaher:
On the improvement of classifying EEG recordings using neural networks. IEEE BigData 2017: 1709-1711 - [c32]Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang:
Transformed Anti-Sparse Hashing. BMVC 2017 - [c31]Ding Liu
, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang:
Robust Video Super-Resolution with Learned Temporal Dynamics. ICCV 2017: 2526-2534 - [c30]Shuangjie Xu
, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou:
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification. ICCV 2017: 4743-4752 - [c29]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [c28]Zhangyang Wang, Ding Liu
, Shiyu Chang, Florin Dolcos
, Diane M. Beck
, Thomas S. Huang:
Image aesthetics assessment using Deep Chatterjee's machine. IJCNN 2017: 941-948 - [c27]Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang
, Dinei Florêncio, Mark Hasegawa-Johnson:
Speech Enhancement Using Bayesian Wavenet. INTERSPEECH 2017: 2013-2017 - [c26]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [c25]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [i18]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i17]Shuangjie Xu, Yu Cheng, Kang Gu, Yang Yang, Shiyu Chang, Pan Zhou:
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification. CoRR abs/1708.02286 (2017) - [i16]Mo Yu, Xiaoxiao Guo, Jinfeng Yi, Shiyu Chang, Saloni Potdar, Gerald Tesauro, Haoyu Wang, Bowen Zhou:
Robust Task Clustering for Deep Many-Task Learning. CoRR abs/1708.07918 (2017) - [i15]Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, Jing Jiang:
R3: Reinforced Reader-Ranker for Open-Domain Question Answering. CoRR abs/1709.00023 (2017) - [i14]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - [i13]Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell:
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. CoRR abs/1711.05116 (2017) - 2016
- [b1]Shiyu Chang:
Similarity learning in the era of big data. University of Illinois Urbana-Champaign, USA, 2016 - [j3]Shiyu Chang, Guo-Jun Qi
, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. 48(3): 707-740 (2016) - [c24]Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. AAAI 2016: 4278-4279 - [c23]Zhangyang Wang, Ding Liu
, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang:
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CVPR 2016: 2764-2772 - [c22]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu
, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CVPR 2016: 4792-4800 - [c21]Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou:
Robust Convex Clustering Analysis. ICDM 2016: 1263-1268 - [c20]Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei:
Low-Rank Sparse Feature Selection for Patient Similarity Learning. ICDM 2016: 1335-1340 - [c19]Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang:
Learning A Deep ℓ∞ Encoder for Hashing. IJCAI 2016: 2174-2180 - [c18]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Positive-Unlabeled Learning in Streaming Networks. KDD 2016: 755-764 - [c17]Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. SDM 2016: 369-377 - [i12]Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Thomas S. Huang:
$\mathbf{D^3}$: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images. CoRR abs/1601.04149 (2016) - [i11]Zhangyang Wang, Shiyu Chang, Yingzhen Yang, Ding Liu, Thomas S. Huang:
Studying Very Low Resolution Recognition Using Deep Networks. CoRR abs/1601.04153 (2016) - [i10]Zhangyang Wang, Florin Dolcos, Diane M. Beck, Shiyu Chang, Thomas S. Huang:
Brain-Inspired Deep Networks for Image Aesthetics Assessment. CoRR abs/1601.04155 (2016) - [i9]Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang:
Learning A Deep ℓ∞ Encoder for Hashing. CoRR abs/1604.01475 (2016) - [i8]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. CoRR abs/1607.06182 (2016) - [i7]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016) - 2015
- [j2]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
Learning Super-Resolution Jointly From External and Internal Examples. IEEE Trans. Image Process. 24(11): 4359-4371 (2015) - [c16]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang:
Self-tuned deep super resolution. CVPR Workshops 2015: 1-8 - [c15]Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang:
A Space Alignment Method for Cold-Start TV Show Recommendations. IJCAI 2015: 3373-3379 - [c14]Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Jinyan Li, Simon Fong, Thomas S. Huang:
A Joint Optimization Framework of Sparse Coding and Discriminative Clustering. IJCAI 2015: 3932-3938 - [c13]Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi
, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. KDD 2015: 119-128 - [c12]Zhaowen Wang, Jianchao Yang, Zhe L. Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning Using Large Margin Neighborhood Embedding. WACV 2015: 464-471 - [c11]Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. WSDM 2015: 87-96 - [i6]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
Learning Super-Resolution Jointly from External and Internal Examples. CoRR abs/1503.01138 (2015) - [i5]Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang:
Decentralized Recommender Systems. CoRR abs/1503.01647 (2015) - [i4]Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang:
Self-Tuned Deep Super Resolution. CoRR abs/1504.05632 (2015) - [i3]Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. CoRR abs/1509.00151 (2015) - 2014
- [j1]Guangcan Liu, Shiyu Chang, Yi Ma:
Blind Image Deblurring Using Spectral Properties of Convolution Operators. IEEE Trans. Image Process. 23(12): 5047-5056 (2014) - [c10]Yingzhen Yang, Zhangyang Wang, Jianchao Yang, Jiangping Wang, Shiyu Chang, Thomas S. Huang:
Data Clustering by Laplacian Regularized L1-Graph. AAAI 2014: 3148-3149 - [c9]Shiyu Chang, Guo-Jun Qi
, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Factorized Similarity Learning in Networks. ICDM 2014: 60-69 - [c8]Shiyu Chang, Charu C. Aggarwal, Thomas S. Huang:
Learning Local Semantic Distances with Limited Supervision. ICDM 2014: 70-79 - [c7]Thomas Phan, Jiayu Zhou, Shiyu Chang, Junling Hu, Juhan Lee:
Collaborative Recommendation of Photo-Taking Geolocations. GeoMM 2014: 11-16 - [c6]Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Jianchao Yang, Thomas S. Huang:
A joint perspective towards image super-resolution: Unifying external- and self-examples. WACV 2014: 596-603 - [p2]Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang:
Multimedia Classification. Data Classification: Algorithms and Applications 2014: 337-364 - [i2]Zhaowen Wang, Jianchao Yang, Zhe Lin, Jonathan Brandt, Shiyu Chang, Thomas S. Huang:
Scalable Similarity Learning using Large Margin Neighborhood Embedding. CoRR abs/1404.6272 (2014) - [i1]Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu:
Negative Link Prediction in Social Media. CoRR abs/1412.2723 (2014) - 2013
- [c5]Xianming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas S. Huang:
Localizing Web Videos from Heterogeneous Images. AAAI (Late-Breaking Developments) 2013 - [c4]Zhen Li, Shiyu Chang, Feng Liang, Thomas S. Huang, Liangliang Cao, John R. Smith:
Learning Locally-Adaptive Decision Functions for Person Verification. CVPR 2013: 3610-3617 - [c3]Shiyu Chang, Guo-Jun Qi
, Jinhui Tang
, Qi Tian, Yong Rui, Thomas S. Huang:
Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. ICDM 2013: 979-984 - [p1]Shen-Fu Tsai, Guo-Jun Qi, Shiyu Chang, Min-Hsuan Tsai, Thomas S. Huang:
Clustering Multimedia Data. Data Clustering: Algorithms and Applications 2013: 339-356 - 2012
- [c2]Zhen Li, Liangliang Cao, Shiyu Chang, John R. Smith, Thomas S. Huang:
Beyond Mahalanobis distance: Learning second-order discriminant function for people verification. CVPR Workshops 2012: 45-50 - 2011
- [c1]Guo-Jun Qi
, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang:
Towards cross-category knowledge propagation for learning visual concepts. CVPR 2011: 897-904
Coauthor Index
aka: Mark A. Hasegawa-Johnson
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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Unpaywalled article links
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-27 22:55 CEST by the dblp team
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