Burst-Aware Adaptive Forward Error Correction in Video Streaming over Wireless Networks. - Ming-Fong Tsai; Chih-Heng Ke; Tsung-Han Wu; Ce-Kuen Shieh; Wen-Shyang Hwang (HPCC, 2008)

Temporal multithreading architecture design for a Java processor. - Hung-Cheng Su; Tsung-Han Wu; Chun-Jen Tsai (ISCAS, 2014)

JAIP-MP: A four-core Java application processor. - Chun-Jen Tsai; Tsung-Han Wu; Hung-Cheng Su (VLSI-SoC, 2015)

JAIP-MP: A Four-Core Java Application Processor for Embedded Systems. - Chun-Jen Tsai; Tsung-Han Wu; Hung-Cheng Su; Cheng-Yang Chen (VLSI-SoC (Selected Papers), 2015)

Intelligent Plant Care Hydroponic Box Using IoTtalk. - Tsung-Han Wu; Chun-Hao Chang; Yun-Wei Lin; Lan-Da Van; Yi-Bing Lin (iThings/GreenCom/CPSCom/SmartData, 2016)

Biomechanical investigation into the structural design of porous additive manufactured cages using numerical and experimental approaches. - Pei-I Tsai; Ching-Chi Hsu; San-Yuan Chen; Tsung-Han Wu; Chih-Chieh Huang (Comput. Biol. Medicine, 2016)

A competitive platform for continuous programming skill enhancement. - Jen-Hao Kuo; Tsung-Han Wu; Hong-Bao Ye; Hewijin Christine Jiau (CASCON, 2018)

Indoor Depth Completion with Boundary Consistency and Self-Attention. - Yu-Kai Huang; Tsung-Han Wu; Yueh-Cheng Liu; Winston H. Hsu (ICCV Workshops, 2019)

PlantTalk: A Smartphone-Based Intelligent Hydroponic Plant Box. - Lan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Yun-Wei Lin; Syuan-Ru Peng; Lin-Hang Kao; Chun-Hao Chang (Sensors, 2019)

Green Elevator Scheduling Based on IoT Communications. - Lan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Tzu-Hsiang Chao (IEEE Access, 2020)

Further Boosting BERT-based Models by Duplicating Existing Layers: Some Intriguing Phenomena inside BERT. - Wei-Tsung Kao; Tsung-Han Wu; Po-Han Chi; Chun-Cheng Hsieh; Hung-yi Lee (CoRR, 2020)

Expanding Sparse Guidance for Stereo Matching. - Yu-Kai Huang; Yueh-Cheng Liu; Tsung-Han Wu; Hung-Ting Su; Winston H. Hsu (CoRR, 2020)

Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation. - Po-Han Chi; Pei-Hung Chung; Tsung-Han Wu; Chun-Cheng Hsieh; Shang-wen Li 001; Hung-yi Lee (CoRR, 2020)

Hand-crafted Attention is All You Need? A Study of Attention on Self-supervised Audio Transformer. - Tsung-Han Wu; Chun-Cheng Hsieh; Yen-Hao Chen; Po-Han Chi; Hung-yi Lee (CoRR, 2020)

An Intelligent Elevator Development and Management System. - Lan-Da Van; Yi-Bing Lin; Tsung-Han Wu; Yu-Chi Lin (IEEE Syst. J., 2020)

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation. - Yu-Kai Huang; Yueh-Cheng Liu; Tsung-Han Wu; Hung-Ting Su; Yu-Cheng Chang; Tsung-Lin Tsou; Yu-An Wang; Winston H. Hsu (CVPR, 2021)

Again-VC: A One-Shot Voice Conversion Using Activation Guidance and Adaptive Instance Normalization. - Yen-Hao Chen; Da-Yi Wu; Tsung-Han Wu; Hung-yi Lee (ICASSP, 2021)

ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. - Tsung-Han Wu; Yueh-Cheng Liu; Yu-Kai Huang; Hsin-Ying Lee 002; Hung-Ting Su; Ping-Chia Huang; Winston H. Hsu (ICCV, 2021)

Audio Albert: A Lite Bert for Self-Supervised Learning of Audio Representation. - Po-Han Chi; Pei-Hung Chung; Tsung-Han Wu; Chun-Cheng Hsieh; Yen-Hao Chen; Shang-Wen Li 001; Hung-yi Lee (SLT, 2021)

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation. - Yu-Kai Huang; Yueh-Cheng Liu; Tsung-Han Wu; Hung-Ting Su; Yu-Cheng Chang; Tsung-Lin Tsou; Yu-An Wang; Winston H. Hsu (CoRR, 2021)

Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data. - Guan-Rong Lu; Yueh-Cheng Liu; Tung-I Chen; Hung-Ting Su; Tsung-Han Wu; Winston H. Hsu (CoRR, 2021)

Free-form 3D Scene Inpainting with Dual-stream GAN. - Ru-Fen Jheng; Tsung-Han Wu; Jia-Fong Yeh; Winston H. Hsu (BMVC, 2022)

Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal Modeling. - Hsin-Ying Lee 002; Hung-Ting Su; Bing-Chen Tsai; Tsung-Han Wu; Jia-Fong Yeh; Winston H. Hsu (BMVC, 2022)

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer. - Kuan-Chih Huang; Tsung-Han Wu; Hung-Ting Su; Winston H. Hsu (CVPR, 2022)

$ mathrm {D^2ADA}$: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation. - Tsung-Han Wu; Yi-Syuan Liou; Shao-Ji Yuan; Hsin-Ying Lee 002; Tung-I Chen; Kuan-Chih Huang; Winston H. Hsu (ECCV (29), 2022)

ADeADA: Adaptive Density-aware Active Domain Adaptation for Semantic Segmentation. - Tsung-Han Wu; Yi-Syuan Liou; Shao-Ji Yuan; Hsin-Ying Lee 002; Tung-I Chen; Winston H. Hsu (CoRR, 2022)

Fair Robust Active Learning by Joint Inconsistency. - Tsung-Han Wu; Shang-Tse Chen; Winston H. Hsu (CoRR, 2022)

Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth. - Yi-Rong Chen; Ching-Yu Tseng; Yi-Syuan Liou; Tsung-Han Wu; Winston H. Hsu (CoRL, 2023)

Fair Robust Active Learning by Joint Inconsistency. - Tsung-Han Wu; Hung-Ting Su; Shang-Tse Chen; Winston H. Hsu (ICCV (Workshops), 2023)

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection. - Ching-Yu Tseng; Yi-Rong Chen; Hsin-Ying Lee 002; Tsung-Han Wu; Wen-Chin Chen; Winston H. Hsu (ICRA, 2023)

MuRAL: Multi-Scale Region-based Active Learning for Object Detection. - Yi-Syuan Liou; Tsung-Han Wu; Jia-Fong Yeh; Wen-Chin Chen; Winston H. Hsu (CoRR, 2023)

Low Routing Complexity Multiframe Pipelined LDPC Decoder Based on a Novel Pseudo Marginalized Min-Sum Algorithm for High Throughput Applications. - Henry Lopez Davila; Tsung-Han Wu; Shyh-Jye Jou; Sau-Gee Chen; Pei-Yun Tsai 001 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

See, Say, and Segment: Teaching LMMs to Overcome False Premises. - Tsung-Han Wu; Giscard Biamby; David M. Chan; Lisa Dunlap; Ritwik Gupta; Xudong Wang 007; Joseph E. Gonzalez; Trevor Darrell (CVPR, 2024)

Self-Correcting LLM-Controlled Diffusion Models. - Tsung-Han Wu; Long Lian; Joseph E. Gonzalez; Boyi Li; Trevor Darrell (CVPR, 2024)

WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection. - Tsung-Lin Tsou; Tsung-Han Wu; Winston H. Hsu (ICRA, 2024)

A 128 Gb/s LDPC Decoder Using Partial Syndrome-based Dynamic Decoding Scheme for Terahertz Wireless Multi-Media Networks. - Tsung-Han Wu; Ching Liang Yeh; Yi-Shan Huang; Shyh-Jye Jou (ISCAS, 2024)

AED: Adaptable Error Detection for Few-shot Imitation Policy. - Jia-Fong Yeh; Kuo-Han Hung; Pang-Chi Lo; Chi-Ming Chung; Tsung-Han Wu; Hung-Ting Su; Yi-Ting Chen; Winston H. Hsu (NeurIPS, 2024)

Visual Haystacks: Answering Harder Questions About Sets of Images. - Tsung-Han Wu; Giscard Biamby; Jerome Quenum; Ritwik Gupta; Joseph E. Gonzalez; Trevor Darrell; David M. Chan (CoRR, 2024)

Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation. - Tsung-Han Wu; Hung-Ting Su; Shang-Tse Chen; Winston H. Hsu (CoRR, 2024)

CLAIR-A: Leveraging Large Language Models to Judge Audio Captions. - Tsung-Han Wu; Joseph E. Gonzalez; Trevor Darrell; David M. Chan (CoRR, 2024)

Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark. - Tsung-Han Wu; Giscard Biamby; Jerome Quenum; Ritwik Gupta; Joseph E. Gonzalez; Trevor Darrell; David M. Chan (ICLR, 2025)

A 16.42 TOPS/mm2 Reverse Rotating Charge Sharing DRAM Compute-in-Memory Design in 28nm Process. - Tsung-Han Wu; Yu-Tse Shih; Hsin-Yung Fu; Chia Ling Ho; Wai-Chi Fang; Ke-Horng Chen; Kuo-Lin Zheng; Ying-Hsi Lin; Shian-Ru Lin; Tsung-Yen Tsai; Jui-Jen Wu; Meng-Fan Marvin Chang (ISCAS, 2025)

Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling. - Tsung-Han Wu; Heekyung Lee; Jiaxin Ge; Joseph E. Gonzalez; Trevor Darrell; David M. Chan (CoRR, 2025)

LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery. - Jerome Quenum; Wen-Han Hsieh; Tsung-Han Wu; Ritwik Gupta; Trevor Darrell; David M. Chan (CoRR, 2025)

Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint. - Heekyung Lee; Jiaxin Ge; Tsung-Han Wu; Minwoo Kang; Trevor Darrell; David M. Chan (CoRR, 2025)

Search Arena: Analyzing Search-Augmented LLMs. - Mihran Miroyan; Tsung-Han Wu; Logan King; Tianle Li; Jiayi Pan; Xinyan Hu; Wei-Lin Chiang; Anastasios N. Angelopoulos; Trevor Darrell; Narges Norouzi; Joseph E. Gonzalez (CoRR, 2025)