René's URL Explorer Experiment


Title: Shiyu Chang | UC Santa Barbara

Description: Homepage of Shiyu Chang

direct link

Domain: code-terminator.github.io

authorShiyu Chang

Links:

https://code-terminator.github.io/
Biohttps://code-terminator.github.io/index.html#bio
Studentshttps://code-terminator.github.io/index.html#students
Selected Publicationshttps://code-terminator.github.io/index.html#publications
Teachinghttps://code-terminator.github.io/index.html#teaching
MISChttps://code-terminator.github.io/index.html#misc
Prof. Regina Barzilayhttp://people.csail.mit.edu/regina/
Prof. Tommi Jaakkolahttp://people.csail.mit.edu/tommi/
Prof. Thomas S. Huanghttps://scholar.google.com/citations?user=rGF6-WkAAAAJ&hl=en
Ziyan Jianghttps://xmhzz2018.github.io/
Congrui Duhttps://congruidu.github.io/
Guanyu Yaohttps://yaoguany.github.io/
Jingbo Yanghttps://kimperyang.github.io/
Li Anhttps://an1118.github.io/
Xinyi Gaohttps://www.gyikoo.me/
Jiabao Jihttps://question406.github.io/
Yujian Liuhttps://yujianll.github.io/
Qiucheng Wuhttps://wuqiuche.github.io/
Bairu Houhttps://hbr690188270.github.io/
Guanhua Zhanghttps://ghzhang233.github.io/
Google Scholarhttps://scholar.google.com/citations?user=r21asW4AAAAJ&hl=en
Paperhttps://arxiv.org/pdf/2502.16002
Codehttps://github.com/UCSB-NLP-Chang/KVLink
Paperhttps://arxiv.org/abs/2504.06575
Codehttps://github.com/UCSB-NLP-Chang/contrastive-watermark
Paperhttps://arxiv.org/pdf/2407.01863
Codehttps://github.com/UCSB-NLP-Chang/Visual-Spatial-Planning
Paperhttps://arxiv.org/pdf/2501.02086
Paperhttps://arxiv.org/pdf/2410.19290
Codehttps://github.com/UCSB-NLP-Chang/Prereq_tune
Paperhhttps://arxiv.org/pdf/2406.06950
Codehttps://github.com/UCSB-NLP-Chang/BTProp
Paperhttps://arxiv.org/pdf/2406.08607
Codehttps://github.com/UCSB-NLP-Chang/ULD
Paperhttps://arxiv.org/pdf/2407.16997
Codehttps://github.com/UCSB-NLP-Chang/causal_unlearn
Paperhttps://arxiv.org/pdf/2502.16002
Codehttps://github.com/UCSB-NLP-Chang/KVLink
Paperhttps://arxiv.org/pdf/2402.16192.pdf
Codehttps://github.com/UCSB-NLP-Chang/SemanticSmooth
Paperhttps://aclanthology.org/2025.findings-emnlp.1131.pdf
Codehttps://github.com/UCSB-NLP-Chang/Augment_tableQA
Paperhttps://arxiv.org/abs/2504.06575
Codehttps://github.com/UCSB-NLP-Chang/contrastive-watermark
Paperhttps://arxiv.org/pdf/2407.01863
Codehttps://github.com/UCSB-NLP-Chang/Visual-Spatial-Planning
Paperhttps://arxiv.org/pdf/2501.02086
Paperhttps://arxiv.org/pdf/2410.19290
Codehttps://github.com/UCSB-NLP-Chang/Prereq_tune
Paperhhttps://arxiv.org/pdf/2406.06950
Codehttps://github.com/UCSB-NLP-Chang/BTProp
Paperhttps://arxiv.org/pdf/2406.08607
Codehttps://github.com/UCSB-NLP-Chang/ULD
Paperhttps://arxiv.org/pdf/2407.16997
Codehttps://github.com/UCSB-NLP-Chang/causal_unlearn
Paperhttps://arxiv.org/pdf/2311.08718.pdf
Codehttps://github.com/UCSB-NLP-Chang/llm_uncertainty
Paperhttps://arxiv.org/pdf/2404.12274
Codehttps://github.com/UCSB-NLP-Chang/SelfDenoise
Paperhttps://arxiv.org/pdf/2312.06038.pdf
Codehttps://github.com/UCSB-NLP-Chang/diffusion_resampling
Paperhttps://arxiv.org/pdf/2304.05568.pdf
Codehttps://github.com/UCSB-NLP-Chang/DiffSTE
Paperhttps://arxiv.org/pdf/2304.03869.pdf
Codehttps://github.com/UCSB-NLP-Chang/Diffusion-SpaceTime-Attn
Paperhttp://proceedings.mlr.press/v202/zhang23q/zhang23q.pdf
Codehttps://github.com/UCSB-NLP-Chang/CoPaint
Paperhttp://proceedings.mlr.press/v202/hou23b/hou23b.pdf
Codehttps://github.com/UCSB-NLP-Chang/PromptBoosting
Paperhttps://arxiv.org/pdf/2212.08698.pdf
Codehttps://github.com/UCSB-NLP-Chang/DiffusionDisentanglement
Paperhttps://arxiv.org/pdf/2212.09254.pdf
Codehttps://github.com/UCSB-NLP-Chang/TextGrad
Paperhttps://arxiv.org/pdf/2209.10222.pdf
Codehttps://github.com/UCSB-NLP-Chang/Fairness-Reprogramming
Paperhttps://arxiv.org/pdf/2112.12376.pdf
Codehttps://github.com/NormalUhr/Fast_BAT
Paperhttps://arxiv.org/pdf/2106.07847.pdf
Codehttps://github.com/YujiaBao/Tofu
Paperhttps://proceedings.mlr.press/v162/qian22b/qian22b.pdf
Codehttps://github.com/auspicious3000/contentvec
Paperhttps://arxiv.org/pdf/2206.04762.pdf
Codehttps://github.com/VITA-Group/Double-Win-LTH
Paperhttps://arxiv.org/pdf/2206.07839.pdf
Codehttps://github.com/VITA-Group/Linearity-Grafting
Paperhttps://arxiv.org/pdf/2204.10298.pdf
Codehttps://github.com/voidism/DiffCSE
Paperhttps://code-terminator.github.io/
Codehttps://github.com/VITA-Group/Backdoor-LTH
Paperhttps://arxiv.org/pdf/2110.07476.pdf
Codehttps://github.com/VT-NLP/Event_Query_Extract
Paperhttps://openreview.net/forum?id=W9G_ImpHlQd
Codehttps://github.com/damon-demon/Black-Box-Defense
Paperhttps://openreview.net/forum?id=26gKg6x-ie
Codehttps://github.com/timgaripov/asa
Paperhttps://openreview.net/forum?id=VqzXzA9hjaX
Codehttps://github.com/VITA-Group/OptimizerAmalgamation
Paperhttps://arxiv.org/pdf/2110.13880.pdf
Codehttps://github.com/Gorov/Understanding_Interlocking
Paperhttps://arxiv.org/pdf/2102.07074.pdf
Codehttps://github.com/VITA-Group/TransGAN
Paperhttps://arxiv.org/pdf/2106.05933.pdf
Codehttps://colab.research.google.com/drive/1onydMil8ulrdPY1LDxWbr2F_oWAENEEp
Paperhttps://arxiv.org/pdf/2105.12628.pdf
Codehttps://github.com/YujiaBao/Predict-then-Interpolate
Paperhttps://arxiv.org/pdf/2007.12223.pdf
Codehttps://github.com/VITA-Group/BERT-Tickets
Paperhttps://arxiv.org/pdf/2003.09772.pdf
Videohttps://www.youtube.com/watch?v=C9dUcljt4WQ
Codehttps://github.com/code-terminator/invariant_rationalization
Paperhttps://arxiv.org/pdf/2004.11284.pdf
Codehttps://github.com/auspicious3000/SpeechSplit
Paperhttps://arxiv.org/pdf/1908.06039.pdf
Codehttps://github.com/YujiaBao/Distributional-Signatures
Paperhttps://arxiv.org/pdf/1910.12853.pdf
Videohttps://www.youtube.com/watch?v=DFtJL7PcGFA&feature=youtu.be
Codehttps://github.com/code-terminator/classwise_rationale
Paperhttps://arxiv.org/abs/1906.04948
Codehttps://github.com/guanghelee/Randomized_Smoothing
Paperhttps://arxiv.org/pdf/1910.13294.pdf
Codehttps://github.com/Gorov/three_player_for_emnlp
Paperhttp://proceedings.mlr.press/v97/qian19c/qian19c.pdf
Codehttps://github.com/auspicious3000/autovc
Paperhttps://arxiv.org/pdf/1808.09367.pdf
Codehttps://github.com/YujiaBao/R2A
Paperhttp://openaccess.thecvf.com/content_cvpr_2018/CameraReady/3225.pdf
Codehttps://github.com/weihan3/dsrn
Paperhttps://arxiv.org/pdf/1710.02224.pdf
Codehttps://github.com/code-terminator/DilatedRNN
Paperhttps://arxiv.org/pdf/1607.06182.pdf
Paperhttps://www.kdd.org/kdd2016/papers/files/rfp0049-changA.pdf
Paperhttp://www.ifp.illinois.edu/~chang87/papers/kdd_2015.pdf
Paperhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.673.816&rep=rep1&type=pdf
Paperhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619307
CS 165B: Introduction to Machine Learninghttps://github.com/UCSB-Shiyu-Teaching/CS165B
CS 190I: Introduction to Deep Learninghttps://github.com/UCSB-Shiyu-Teaching/CS190I
CS 291A: Special Topics on Adversarial Machine Learninghttps://github.com/UCSB-Shiyu-Teaching/CS291A
jekyllhttps://jekyllrb.com
Martin Saveskihttps://github.com/msaveski/www_personal
David Alvarez-Melishttps://dmelis.github.io/
Jiayu Zhouhttp://jiayuzhou.github.io/

Viewport: width=device-width, initial-scale=1

URLs of crawlers that visited me.