Invited Talks

• Effective and Efficient Prompt Tuning for Large Language Model Adaptation
  • NLP Research Lab, University of Pittsburgh
  • Mar 2025, Host: Dr Yang Zhong
• Effective and Efficient Prompt Tuning for Large Language Model Adaptation
  • Adobe Research
  • May 2024, Host: Dr Vishy Swaminathan
• Effective and Efficient Prompt Tuning for Large Language Model Adaptation
  • Amazon AGI/Alexa
  • Apr 2024, Host: Dr Shankar Ananthakrishnan
• Effective and Efficient Prompt Tuning for Large Language Model Adaptation
  • Netflix Research
  • Apr 2024, Host: Dr Nan Wang
• Information Extraction from Structure and Long Input with Its Applications
  • Yan'an University (Virtual)
  • Nov 2023, Host: Prof Lerong Ma
• Information Extraction from Structure and Long Input with Its Applications
  • DataFunSummit 2022 (Virtual)
  • July 2022, Host: Dr Dachuan Wang
• Attribute Extraction via Reading Comprehension: A Multi-task Approach
  • Rochester Institute of Technology (Virtual)
  • March 2022, Host: Prof Dongfang Liu
• Information Extraction from Structure and Long Input with Its Applications
  • Meituan NLP Center (Virtual)
  • March 2022, Host: Dr Jingang Wang
• Learning to Extract Attribute Value from Structure and Long Input via Question Answering
  • Microsoft Research (Virtual)
  • July 2021, Host: Prof Jason Eisner and Prof Ben Van Durme
• Learning to Extract Attribute Value from Structure and Long Input via Question Answering
  • Tencent AI Lab (Virtual)
  • June 2021, Host: Prof Dong Yu
• Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach
  • ByteDance AI Lab (Virtual)
  • Nov 2020, Host: Dr Feng Cai and Dr Jianchao Yang
• Constructing a Comprehensive Events Database from the Web
  • Vision & Interaction Lab, Tsinghua University
  • Nov 2019, Host: Prof Linmi Tao
• Instance-Level Label Propagation with Multi-Instance Learning
  • Graphics and Geometric Computing Group, Tsinghua Univeristy
  • Oct 2017, Host: Prof Kun Xu
• Flexible Mixture Model for Collaborative Filtering
  • Machine Learning Summer School
  • July 2011, Host: Prof Luo Si

Conference Talks

• WebFormer: The Web-page Transformer for Structure Information Extraction
  • The Web Conference, Virtual, April 2022
• Deep Partial Multiplex Network Embedding
  • The Web Conference, Virtual, April 2022
• MAVE: A Product Dataset for Multi-source Attribute Value Extraction
  • WSDM Conference, Virtual, Feb 2022
• Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
  • SIGIR Conference, Virtual, July 2021
• Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach
  • SIGKDD Conference, Virtual, Aug 2020
• Constructing a Comprehensive Events Database from the Web
  • CIKM Conference, Beijing, Nov 2019
• Instance-Level Label Propagation with Multi-Instance Learning
  • IJCAI Conference, Melbourne, Aug 2017
• Ranking Preserving Hashing for Fast Similarity Search
  • IJCAI Conference, Buenos Aires, Louisiana, July 2015
• Learning to Hash on Partial Multi-Modal Data
  • IJCAI Conference, Buenos Aires, Louisiana, July 2015
• Learning to Hash on Structured Data
  • AAAI Conference, Austin Texas, Jan 2015
• Binary Codes Embedding for Fast Image Tagging with Incomplete Labels
  • ECCV Conference, Zurich, Sep 2014
• Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval
  • ECCV Conference, Zurich, Sep 2014
• Adaptive Knowledge Transfer for Multiple Instance Learning in Image Classification
  • AAAI Conference, Québec City, July 2014
• Active Hashing with Joint Data Example and Tag Selection
  • SIGIR Conference, Gold Coast, July 2014
• Preference Preserving Hashing for Efficient Recommendation
  • SIGIR Conference, Gold Coast, July 2014
• Learning Compact Hashing Codes for Efficient Tag Completion and Prediction
  • CIKM Conference, San Francisco, Oct 2013
• Weighted Hashing for Fast Large Scale Similarity Search
  • CIKM Conference, San Francisco, Oct 2013
• Semantic Hashing using Tags and Topic Modeling
  • SIGIR Conference, Dublin Ireland, July 2013
• A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification
  • ECCV Conference, Firenze Italy, Oct 2012
• A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences
  • ECCV Conference, Crete Greece, Sep 2010